From 1ab97bbe004d696f0c2e2463d36c83e320cbc5bd Mon Sep 17 00:00:00 2001 From: Spyros Zoupanos Date: Wed, 1 Apr 2020 22:05:35 +0300 Subject: [PATCH 1/7] Adding the full stats workflow to the dnet-hadoop hierarchy --- dhp-workflows/dhp-stats-update/pom.xml | 31 + .../graph/oozie_app/config-default.xml | 30 + .../graph/oozie_app/scripts/step1.sql | 11 + .../graph/oozie_app/scripts/step10_1.sql | 7 + .../graph/oozie_app/scripts/step10_2.sql | 1 + .../graph/oozie_app/scripts/step10_3.sql | 1 + .../graph/oozie_app/scripts/step11.sql | 10 + .../graph/oozie_app/scripts/step12_1.sql | 6 + .../graph/oozie_app/scripts/step12_2.sql | 2 + .../graph/oozie_app/scripts/step12_3.sql | 20 + .../graph/oozie_app/scripts/step12_4.sql | 2 + .../graph/oozie_app/scripts/step12_5.sql | 2 + .../graph/oozie_app/scripts/step12_6.sql | 2 + .../graph/oozie_app/scripts/step12_7.sql | 2 + .../graph/oozie_app/scripts/step12_8.sql | 1 + .../graph/oozie_app/scripts/step13.sql | 26 + .../graph/oozie_app/scripts/step14.sql | 7 + .../graph/oozie_app/scripts/step2_1.sql | 10 + .../graph/oozie_app/scripts/step2_2.sql | 19 + .../graph/oozie_app/scripts/step2_3.sql | 1 + .../graph/oozie_app/scripts/step2_4.sql | 1 + .../graph/oozie_app/scripts/step2_5.sql | 1 + .../graph/oozie_app/scripts/step2_6.sql | 1 + .../graph/oozie_app/scripts/step2_7.sql | 1 + .../graph/oozie_app/scripts/step2_8.sql | 1 + .../graph/oozie_app/scripts/step2_9.sql | 1 + .../graph/oozie_app/scripts/step3.sql | 2 + .../graph/oozie_app/scripts/step4_1.sql | 9 + .../graph/oozie_app/scripts/step4_10.sql | 1 + .../graph/oozie_app/scripts/step4_2.sql | 7 + .../graph/oozie_app/scripts/step4_3.sql | 2 + .../graph/oozie_app/scripts/step4_4.sql | 1 + .../graph/oozie_app/scripts/step4_5.sql | 1 + .../graph/oozie_app/scripts/step4_6.sql | 3 + .../graph/oozie_app/scripts/step4_7.sql | 1 + .../graph/oozie_app/scripts/step4_8.sql | 1 + .../graph/oozie_app/scripts/step4_9.sql | 1 + .../graph/oozie_app/scripts/step5_1.sql | 9 + .../graph/oozie_app/scripts/step5_10.sql | 1 + .../graph/oozie_app/scripts/step5_2.sql | 7 + .../graph/oozie_app/scripts/step5_3.sql | 2 + .../graph/oozie_app/scripts/step5_4.sql | 1 + .../graph/oozie_app/scripts/step5_5.sql | 1 + .../graph/oozie_app/scripts/step5_6.sql | 3 + .../graph/oozie_app/scripts/step5_7.sql | 1 + .../graph/oozie_app/scripts/step5_8.sql | 1 + .../graph/oozie_app/scripts/step5_9.sql | 1 + .../graph/oozie_app/scripts/step6_1.sql | 9 + .../graph/oozie_app/scripts/step6_10.sql | 1 + .../graph/oozie_app/scripts/step6_2.sql | 7 + .../graph/oozie_app/scripts/step6_3.sql | 2 + .../graph/oozie_app/scripts/step6_4.sql | 1 + .../graph/oozie_app/scripts/step6_5.sql | 1 + .../graph/oozie_app/scripts/step6_6.sql | 3 + .../graph/oozie_app/scripts/step6_7.sql | 1 + .../graph/oozie_app/scripts/step6_8.sql | 1 + .../graph/oozie_app/scripts/step6_9.sql | 1 + .../graph/oozie_app/scripts/step7_1.sql | 8 + .../graph/oozie_app/scripts/step7_2.sql | 3 + .../graph/oozie_app/scripts/step7_3.sql | 3 + .../graph/oozie_app/scripts/step7_4.sql | 5 + .../graph/oozie_app/scripts/step7_5.sql | 1 + .../graph/oozie_app/scripts/step8_1.sql | 8 + .../graph/oozie_app/scripts/step8_10.sql | 2 + .../graph/oozie_app/scripts/step8_11.sql | 2 + .../graph/oozie_app/scripts/step8_2.sql | 2 + .../graph/oozie_app/scripts/step8_3.sql | 1 + .../graph/oozie_app/scripts/step8_4.sql | 1 + .../graph/oozie_app/scripts/step8_5.sql | 1 + .../graph/oozie_app/scripts/step8_6.sql | 1 + .../graph/oozie_app/scripts/step8_7.sql | 1 + .../graph/oozie_app/scripts/step8_8.sql | 1 + .../graph/oozie_app/scripts/step8_9.sql | 1 + .../graph/oozie_app/scripts/step9_1.sql | 10 + .../graph/oozie_app/scripts/step9_2.sql | 3 + .../graph/oozie_app/scripts/step9_3.sql | 7 + .../graph/oozie_app/scripts/step9_4.sql | 1 + .../graph/oozie_app/scripts/step9_5.sql | 1 + .../graph/oozie_app/scripts/step9_6.sql | 2 + .../graph/oozie_app/scripts/step9_7.sql | 2 + .../graph/oozie_app/scripts/step9_8.sql | 2 + .../graph/oozie_app/scripts/step9_9.sql | 1 + .../resources/graph/oozie_app/workflow.xml | 1479 +++++++++++++++++ dhp-workflows/pom.xml | 1 + 84 files changed, 1830 insertions(+) create mode 100644 dhp-workflows/dhp-stats-update/pom.xml create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql create mode 100644 dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml diff --git a/dhp-workflows/dhp-stats-update/pom.xml b/dhp-workflows/dhp-stats-update/pom.xml new file mode 100644 index 000000000..6a22f2f7b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/pom.xml @@ -0,0 +1,31 @@ + + + + dhp-workflows + eu.dnetlib.dhp + 1.1.6-SNAPSHOT + + 4.0.0 + dhp-statistics-workflow + + + org.apache.spark + spark-core_2.11 + + + org.apache.spark + spark-sql_2.11 + + + + + + pl.project13.maven + git-commit-id-plugin + + false + + + + + diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml new file mode 100644 index 000000000..e2953693f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml @@ -0,0 +1,30 @@ + + + jobTracker + ${jobTracker} + + + nameNode + ${nameNode} + + + oozie.use.system.libpath + true + + + oozie.action.sharelib.for.spark + spark2 + + + hive_metastore_uris + thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083 + + + hive_jdbc_url + jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000 + + + oozie.wf.workflow.notification.url + {serviceUrl}/v1/oozieNotification/jobUpdate?jobId=$jobId%26status=$status + + diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql new file mode 100644 index 000000000..ec8a0e4ff --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql @@ -0,0 +1,11 @@ +-- DROP database if EXISTS ${hive_db_name} cascade; +-- CREATE database ${hive_db_name}; +-- +-- CREATE TABLE ${hive_db_name}.Persons ( +-- PersonID int, +-- LastName varchar(255)); +-- +-- INSERT INTO ${hive_db_name}.Persons VALUES (1, "test_db_spyros_rec_111"); + +DROP database IF EXISTS ${stats_db_name} CASCADE; +CREATE database ${stats_db_name}; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql new file mode 100644 index 000000000..568148753 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql @@ -0,0 +1,7 @@ +---------------------------------------------------------------- +---------------------------------------------------------------- +-- Organization table/view and Organization related tables/views +---------------------------------------------------------------- +---------------------------------------------------------------- +DROP TABLE IF EXISTS ${stats_db_name}.organization; +CREATE TABLE ${stats_db_name}.organization AS SELECT substr(o.id, 4) as id, o.legalname.value as name, o.country.classid as country from ${openaire_db_name}.organization o WHERE o.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql new file mode 100644 index 000000000..4937c8425 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.organization_datasources AS SELECT organization AS id, id AS datasource FROM ${stats_db_name}.datasource_organizations; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql new file mode 100644 index 000000000..768cf2a6e --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.organization_projects AS SELECT id AS project, organization as id FROM ${stats_db_name}.project_organizations; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql new file mode 100644 index 000000000..145be77b0 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql @@ -0,0 +1,10 @@ +------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------ +-- Tables/views from external tables/views (Fundref, Country, CountyGDP, roarmap, rndexpediture) +------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------ +CREATE OR REPLACE VIEW ${stats_db_name}.fundref AS SELECT * FROM ${external_stats_db_name}.fundref; +CREATE OR REPLACE VIEW ${stats_db_name}.country AS SELECT * FROM ${external_stats_db_name}.country; +CREATE OR REPLACE VIEW ${stats_db_name}.countrygdp AS SELECT * FROM ${external_stats_db_name}.countrygdp; +CREATE OR REPLACE VIEW ${stats_db_name}.roarmap AS SELECT * FROM ${external_stats_db_name}.roarmap; +CREATE OR REPLACE VIEW ${stats_db_name}.rndexpediture AS SELECT * FROM ${external_stats_db_name}.rndexpediture; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql new file mode 100644 index 000000000..c1ec8873a --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql @@ -0,0 +1,6 @@ +---------------------------- +-- Post processing - Updates +---------------------------- + +--Datasource temporary table updates +UPDATE ${stats_db_name}.datasource_tmp set harvested ='true' WHERE datasource_tmp.id IN (SELECT DISTINCT d.id FROM ${stats_db_name}.datasource_tmp d, ${stats_db_name}.result_datasources rd where d.id=rd.datasource); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql new file mode 100644 index 000000000..b772bc374 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql @@ -0,0 +1,2 @@ +-- Project temporary table update and final project table creation with final updates that can not be applied to ORC tables +UPDATE ${stats_db_name}.project_tmp SET haspubs='yes' WHERE project_tmp.id IN (SELECT pr.id FROM ${stats_db_name}.project_results pr, ${stats_db_name}.result r WHERE pr.result=r.id AND r.type='publication'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql new file mode 100644 index 000000000..b5e942ed6 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql @@ -0,0 +1,20 @@ +DROP TABLE IF EXISTS ${stats_db_name}.project; + +CREATE TABLE ${stats_db_name}.project stored as parquet as +SELECT p.id , p.acronym, p.title, p.funder, p.funding_lvl0, p.funding_lvl1, p.funding_lvl2, p.ec39, p.type, p.startdate, p.enddate, p.start_year, p.end_year, p.duration, +CASE WHEN prr1.id IS NULL THEN 'no' ELSE 'yes' END as haspubs, +CASE WHEN prr1.id IS NULL THEN 0 ELSE prr1.np END as numpubs, +CASE WHEN prr2.id IS NULL THEN 0 ELSE prr2.daysForlastPub END as daysforlastpub, +CASE WHEN prr2.id IS NULL THEN 0 ELSE prr2.dp END as delayedpubs, +p.callidentifier, p.code +FROM ${stats_db_name}.project_tmp p +LEFT JOIN (SELECT pr.id, count(distinct pr.result) AS np + FROM ${stats_db_name}.project_results pr INNER JOIN ${stats_db_name}.result r ON pr.result=r.id + WHERE r.type='publication' + GROUP BY pr.id) AS prr1 on prr1.id = p.id +LEFT JOIN (SELECT pp.id, max(datediff(to_date(r.date), to_date(pp.enddate)) ) as daysForlastPub , count(distinct r.id) as dp + FROM ${stats_db_name}.project_tmp pp, ${stats_db_name}.project_results pr, ${stats_db_name}.result r + WHERE pp.id=pr.id AND pr.result=r.id AND r.type='publication' AND datediff(to_date(r.date), to_date(pp.enddate)) > 0 + GROUP BY pp.id) AS prr2 + on prr2.id = p.id; + \ No newline at end of file diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql new file mode 100644 index 000000000..2fab61e8d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql @@ -0,0 +1,2 @@ +-- Publication temporary table updates +UPDATE ${stats_db_name}.publication_tmp SET delayed = 'yes' WHERE publication_tmp.id IN (SELECT distinct r.id FROM stats_wf_db_obs.result r, ${stats_db_name}.project_results pr, ${stats_db_name}.project_tmp p WHERE r.id=pr.result AND pr.id=p.id AND to_date(r.date)-to_date(p.enddate) > 0); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql new file mode 100644 index 000000000..3c7ee35de --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql @@ -0,0 +1,2 @@ +-- Dataset temporary table updates +UPDATE ${stats_db_name}.dataset_tmp SET delayed = 'yes' WHERE dataset_tmp.id IN (SELECT distinct r.id FROM stats_wf_db_obs.result r, ${stats_db_name}.project_results pr, ${stats_db_name}.project_tmp p WHERE r.id=pr.result AND pr.id=p.id AND to_date(r.date)-to_date(p.enddate) > 0); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql new file mode 100644 index 000000000..5d38693bc --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql @@ -0,0 +1,2 @@ +-- Software temporary table updates +UPDATE ${stats_db_name}.software_tmp SET delayed = 'yes' WHERE software_tmp.id IN (SELECT distinct r.id FROM ${stats_db_name}.result r, ${stats_db_name}.project_results pr, ${stats_db_name}.project_tmp p WHERE r.id=pr.result AND pr.id=p.id AND to_date(r.date)-to_date(p.enddate) > 0); \ No newline at end of file diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql new file mode 100644 index 000000000..4a5d4ce61 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql @@ -0,0 +1,2 @@ +-- Oherresearchproduct temporary table updates +UPDATE ${stats_db_name}.otherresearchproduct_tmp SET delayed = 'yes' WHERE otherresearchproduct_tmp.id IN (SELECT distinct r.id FROM ${stats_db_name}.result r, ${stats_db_name}.project_results pr, ${stats_db_name}.project_tmp p WHERE r.id=pr.result AND pr.id=p.id AND to_date(r.date)-to_date(p.enddate) > 0); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql new file mode 100644 index 000000000..ad375bf3f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.project_results_publication AS SELECT result_projects.id AS result, result_projects.project AS project_results, result.date as resultdate, project.enddate as projectenddate, result_projects.daysfromend as daysfromend FROM ${stats_db_name}.result_projects, ${stats_db_name}.result, ${stats_db_name}.project WHERE result_projects.id=result.id and result.type='publication' and project.id=result_projects.project; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql new file mode 100644 index 000000000..f68ccab64 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql @@ -0,0 +1,26 @@ +------------------------------------------------------------------------------------------------------ +-- Creating parquet tables from the updated temporary tables and removing unnecessary temporary tables +------------------------------------------------------------------------------------------------------ + +DROP TABLE IF EXISTS ${stats_db_name}.datasource; +CREATE TABLE ${stats_db_name}.datasource stored as parquet as select * from ${stats_db_name}.datasource_tmp; + +DROP TABLE IF EXISTS ${stats_db_name}.publication; +CREATE TABLE ${stats_db_name}.publication stored as parquet as select * from ${stats_db_name}.publication_tmp; + +DROP TABLE IF EXISTS ${stats_db_name}.dataset; +CREATE TABLE ${stats_db_name}.dataset stored as parquet as select * from ${stats_db_name}.dataset_tmp; + +DROP TABLE IF EXISTS ${stats_db_name}.software; +CREATE TABLE ${stats_db_name}.software stored as parquet as select * from ${stats_db_name}.software_tmp; + +DROP TABLE IF EXISTS ${stats_db_name}.otherresearchproduct; +CREATE TABLE ${stats_db_name}.otherresearchproduct stored as parquet as select * from ${stats_db_name}.otherresearchproduct_tmp; + +DROP TABLE ${stats_db_name}.project_tmp; +DROP TABLE ${stats_db_name}.datasource_tmp; +DROP TABLE ${stats_db_name}.publication_tmp; +DROP TABLE ${stats_db_name}.dataset_tmp; +DROP TABLE ${stats_db_name}.software_tmp; +DROP TABLE ${stats_db_name}.otherresearchproduct_tmp; + diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql new file mode 100644 index 000000000..24e9e3107 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql @@ -0,0 +1,7 @@ +---------------------------------------------- +-- Re-creating views from final parquet tables +--------------------------------------------- + +-- Result +CREATE OR REPLACE VIEW ${stats_db_name}.result as SELECT *, bestlicence as access_mode FROM ${stats_db_name}.publication UNION ALL SELECT *, bestlicence as access_mode FROM ${stats_db_name}.software UNION ALL SELECT *, bestlicence as access_mode FROM ${stats_db_name}.dataset UNION ALL SELECT *, bestlicence as access_mode FROM ${stats_db_name}.otherresearchproduct; + diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql new file mode 100644 index 000000000..d20bb73e2 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql @@ -0,0 +1,10 @@ +-------------------------------------------------------------- +-------------------------------------------------------------- +-- 2. Publication table/view and Publication related tables/views +-------------------------------------------------------------- +-------------------------------------------------------------- + +-- Publication temporary table +DROP TABLE IF EXISTS ${stats_db_name}.publication_tmp; + +CREATE TABLE ${stats_db_name}.publication_tmp (id STRING, title STRING, publisher STRING, journal STRING, date STRING, year STRING, bestlicence STRING, embargo_end_date STRING, delayed BOOLEAN, authors INT, source STRING, abstract BOOLEAN, type STRING ) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql new file mode 100644 index 000000000..1c67596db --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql @@ -0,0 +1,19 @@ +-- The following throws the following exception on CRN HUE Hive: +-- Error while compiling statement: FAILED: SemanticException [Error 10011]: Line 2:34 Invalid function 'date_format' +-- But runs OK on OCEAN HUE Hive + +INSERT INTO ${stats_db_name}.publication_tmp SELECT substr(p.id, 4) as id, p.title[0].value as title, p.publisher.value as publisher, p.journal.name as journal , +p.dateofacceptance.value as date, date_format(p.dateofacceptance.value,'yyyy') as year, p.bestaccessright.classname as bestlicence, +p.embargoenddate.value as embargo_end_date, false as delayed, size(p.author) as authors , concat_ws('\u003B',p.source.value) as source, +case when size(p.description) > 0 then true else false end as abstract, +'publication' as type +from ${openaire_db_name}.publication p +where p.datainfo.deletedbyinference=false; + +-- INSERT INTO ${hive_db_name}.publication_tmp SELECT substr(p.id, 4) as id, p.title[0].value as title, p.publisher.value as publisher, p.journal.name as journal, +-- p.dateofacceptance.value as date, date_format(p.dateofacceptance.value,'yyyy') as year, p.bestaccessright.classname as bestlicence, +-- p.embargoenddate.value as embargo_end_date, false as delayed, size(p.author) as authors , concat_ws('\u003B',p.source.value) as source, +-- case when size(p.description) > 0 then true else false end as abstract, +-- 'publication' as type +-- from openaire.publication p +-- where p.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql new file mode 100644 index 000000000..bf0e85550 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.publication_classifications AS SELECT substr(p.id, 4) as id, instancetype.classname as type from ${openaire_db_name}.publication p LATERAL VIEW explode(p.instance.instancetype) instances as instancetype; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql new file mode 100644 index 000000000..a38bcf62d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.publication_concepts AS SELECT substr(p.id, 4) as id, contexts.context.id as concept from ${openaire_db_name}.publication p LATERAL VIEW explode(p.context) contexts as context; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql new file mode 100644 index 000000000..299833452 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.publication_datasources as SELECT p.id, case when d.id is null then 'other' else p.datasource end as datasource FROM (SELECT substr(p.id, 4) as id, substr(instances.instance.hostedby.key, 4) as datasource from ${openaire_db_name}.publication p lateral view explode(p.instance) instances as instance) p LEFT OUTER JOIN (SELECT substr(d.id, 4) id from ${openaire_db_name}.datasource d WHERE d.datainfo.deletedbyinference=false) d on p.datasource = d.id; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql new file mode 100644 index 000000000..fd4dbe05c --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.publication_languages AS select substr(p.id, 4) as id, p.language.classname as language from ${openaire_db_name}.publication p; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql new file mode 100644 index 000000000..24cd59670 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.publication_oids AS SELECT substr(p.id, 4) as id, oids.ids as oid from ${openaire_db_name}.publication p LATERAL VIEW explode(p.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql new file mode 100644 index 000000000..1ddb2bd3b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.publication_pids as select substr(p.id, 4) as id, ppid.qualifier.classname as type, ppid.value as pid from ${openaire_db_name}.publication p lateral view explode(p.pid) pids as ppid; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql new file mode 100644 index 000000000..5507eeb7a --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.publication_topics as select substr(p.id, 4) as id, subjects.subject.qualifier.classname as type, subjects.subject.value as topic from ${openaire_db_name}.publication p lateral view explode(p.subject) subjects as subject; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql new file mode 100644 index 000000000..567b94994 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql @@ -0,0 +1,2 @@ +-- 3. Publication_citations +CREATE TABLE ${stats_db_name}.publication_citations AS SELECT substr(p.id, 4) AS id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") AS result FROM ${openaire_db_name}.publication p lateral view explode(p.extrainfo) citations AS citation WHERE xpath_string(citation.value, "//citation/id[@type='openaire']/@value") !=""; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql new file mode 100644 index 000000000..3668059a6 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql @@ -0,0 +1,9 @@ +------------------------------------------------------ +------------------------------------------------------ +-- 4. Dataset table/view and Dataset related tables/views +------------------------------------------------------ +------------------------------------------------------ + +-- Dataset temporary table supporting updates +DROP TABLE IF EXISTS ${stats_db_name}.dataset_tmp; +CREATE TABLE ${stats_db_name}.dataset_tmp (id STRING, title STRING, publisher STRING, journal STRING, date STRING, year STRING, bestlicence STRING, embargo_end_date STRING, delayed BOOLEAN, authors INT, source STRING, abstract BOOLEAN, type STRING ) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql new file mode 100644 index 000000000..85a8eac7f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.dataset_topics as select substr(p.id, 4) as id, subjects.subject.qualifier.classname as type, subjects.subject.value as topic from ${openaire_db_name}.dataset p lateral view explode(p.subject) subjects as subject; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql new file mode 100644 index 000000000..3c8bb7c0f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql @@ -0,0 +1,7 @@ +INSERT INTO ${stats_db_name}.dataset_tmp select substr(d.id, 4) as id, d.title[0].value as title, d.publisher.value as publisher, cast(null as string) as journal, +d.dateofacceptance.value as date, date_format(d.dateofacceptance.value,'yyyy') as year, d.bestaccessright.classname as bestlicence, +d.embargoenddate.value as embargo_end_date, false as delayed, size(d.author) as authors , concat_ws('\u003B',d.source.value) as source, + case when size(d.description) > 0 then true else false end as abstract, +'dataset' as type +from ${openaire_db_name}.dataset d +where d.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql new file mode 100644 index 000000000..54e23621a --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql @@ -0,0 +1,2 @@ +-- Dataset_citations +Create table ${stats_db_name}.dataset_citations as select substr(d.id, 4) as id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") as result from ${openaire_db_name}.dataset d lateral view explode(d.extrainfo) citations as citation where xpath_string(citation.value, "//citation/id[@type='openaire']/@value") !=""; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql new file mode 100644 index 000000000..7bc81c7f8 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.dataset_classifications AS SELECT substr(p.id, 4) as id, instancetype.classname as type from ${openaire_db_name}.dataset p LATERAL VIEW explode(p.instance.instancetype) instances as instancetype; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql new file mode 100644 index 000000000..73aff989d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.dataset_concepts AS SELECT substr(p.id, 4) as id, contexts.context.id as concept from ${openaire_db_name}.dataset p LATERAL VIEW explode(p.context) contexts as context; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql new file mode 100644 index 000000000..1ca686f70 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql @@ -0,0 +1,3 @@ +CREATE TABLE ${stats_db_name}.dataset_datasources as SELECT p.id, case when d.id is null then 'other' else p.datasource end as datasource FROM (SELECT substr(p.id, 4) as id, substr(instances.instance.hostedby.key, 4) as datasource +from ${openaire_db_name}.dataset p lateral view explode(p.instance) instances as instance) p LEFT OUTER JOIN +(SELECT substr(d.id, 4) id from ${openaire_db_name}.datasource d WHERE d.datainfo.deletedbyinference=false) d on p.datasource = d.id; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql new file mode 100644 index 000000000..70c0b3e4f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.dataset_languages AS select substr(p.id, 4) as id, p.language.classname as language from ${openaire_db_name}.dataset p; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql new file mode 100644 index 000000000..c750ad00b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.dataset_oids AS SELECT substr(p.id, 4) as id, oids.ids as oid from ${openaire_db_name}.dataset p LATERAL VIEW explode(p.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql new file mode 100644 index 000000000..1d9f4c596 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.dataset_pids as select substr(p.id, 4) as id, ppid.qualifier.classname as type, ppid.value as pid from ${openaire_db_name}.dataset p lateral view explode(p.pid) pids as ppid; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql new file mode 100644 index 000000000..89f869760 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql @@ -0,0 +1,9 @@ +-------------------------------------------------------- +-------------------------------------------------------- +-- 5. Software table/view and Software related tables/views +-------------------------------------------------------- +-------------------------------------------------------- + +-- Software temporary table supporting updates +DROP TABLE IF EXISTS ${stats_db_name}.software_tmp; +CREATE TABLE ${stats_db_name}.software_tmp (id STRING, title STRING, publisher STRING, journal STRING, date STRING, year STRING, bestlicence STRING, embargo_end_date STRING, delayed BOOLEAN, authors INT, source STRING, abstract BOOLEAN, type STRING ) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql new file mode 100644 index 000000000..acc70958b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.software_topics as select substr(p.id, 4) as id, subjects.subject.qualifier.classname as type, subjects.subject.value as topic from ${openaire_db_name}.software p lateral view explode(p.subject) subjects as subject; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql new file mode 100644 index 000000000..4a3f10c64 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql @@ -0,0 +1,7 @@ +INSERT INTO ${stats_db_name}.software_tmp select substr(s.id, 4) as id, s.title[0].value as title, s.publisher.value as publisher, cast(null as string) as journal, +s.dateofacceptance.value as date, date_format(s.dateofacceptance.value,'yyyy') as year, s.bestaccessright.classname as bestlicence, +s.embargoenddate.value as embargo_end_date, false as delayed, size(s.author) as authors , concat_ws('\u003B',s.source.value) as source, + case when size(s.description) > 0 then true else false end as abstract, +'software' as type +from ${openaire_db_name}.software s +where s.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql new file mode 100644 index 000000000..f8073a583 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql @@ -0,0 +1,2 @@ +-- Software_citations +Create table ${stats_db_name}.software_citations as select substr(s.id, 4) as id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") as result from ${openaire_db_name}.software s lateral view explode(s.extrainfo) citations as citation where xpath_string(citation.value, "//citation/id[@type='openaire']/@value") !=""; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql new file mode 100644 index 000000000..b340cfc24 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.software_classifications AS SELECT substr(p.id, 4) as id, instancetype.classname as type from ${openaire_db_name}.software p LATERAL VIEW explode(p.instance.instancetype) instances as instancetype; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql new file mode 100644 index 000000000..d2b0f3d1d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.software_concepts AS SELECT substr(p.id, 4) as id, contexts.context.id as concept from ${openaire_db_name}.software p LATERAL VIEW explode(p.context) contexts as context; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql new file mode 100644 index 000000000..dfe32075b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql @@ -0,0 +1,3 @@ +CREATE TABLE ${stats_db_name}.software_datasources as SELECT p.id, case when d.id is null then 'other' else p.datasource end as datasource FROM (SELECT substr(p.id, 4) as id, substr(instances.instance.hostedby.key, 4) as datasource +from ${openaire_db_name}.software p lateral view explode(p.instance) instances as instance) p LEFT OUTER JOIN +(SELECT substr(d.id, 4) id from ${openaire_db_name}.datasource d WHERE d.datainfo.deletedbyinference=false) d on p.datasource = d.id; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql new file mode 100644 index 000000000..0fdb0fab3 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.software_languages AS select substr(p.id, 4) as id, p.language.classname as language from ${openaire_db_name}.software p; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql new file mode 100644 index 000000000..79c4b313d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.software_oids AS SELECT substr(p.id, 4) as id, oids.ids as oid from ${openaire_db_name}.software p LATERAL VIEW explode(p.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql new file mode 100644 index 000000000..a8aaa5d83 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.software_pids as select substr(p.id, 4) as id, ppid.qualifier.classname as type, ppid.value as pid from ${openaire_db_name}.software p lateral view explode(p.pid) pids as ppid; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql new file mode 100644 index 000000000..4e59465fa --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql @@ -0,0 +1,9 @@ +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- +-- 6. Otherresearchproduct table/view and Otherresearchproduct related tables/views +-------------------------------------------------------------------------------- +-------------------------------------------------------------------------------- + +-- Otherresearchproduct temporary table supporting updates +DROP TABLE IF EXISTS ${stats_db_name}.otherresearchproduct_tmp; +CREATE TABLE ${stats_db_name}.otherresearchproduct_tmp ( id STRING, title STRING, publisher STRING, journal STRING, date STRING, year STRING, bestlicence STRING, embargo_end_date STRING, delayed BOOLEAN, authors INT, source STRING, abstract BOOLEAN, type STRING ) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql new file mode 100644 index 000000000..e2e788634 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.otherresearchproduct_topics as select substr(p.id, 4) as id, subjects.subject.qualifier.classname as type, subjects.subject.value as topic from ${openaire_db_name}.otherresearchproduct p lateral view explode(p.subject) subjects as subject; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql new file mode 100644 index 000000000..7c7ed370d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql @@ -0,0 +1,7 @@ +INSERT INTO ${stats_db_name}.otherresearchproduct_tmp select substr(o.id, 4) as id, o.title[0].value as title, o.publisher.value as publisher, cast(null as string) as journal, +o.dateofacceptance.value as date, date_format(o.dateofacceptance.value,'yyyy') as year, o.bestaccessright.classname as bestlicence, +o.embargoenddate.value as embargo_end_date, false as delayed, size(o.author) as authors , concat_ws('\u003B',o.source.value) as source, +case when size(o.description) > 0 then true else false end as abstract, +'other' as type +from ${openaire_db_name}.otherresearchproduct o +where o.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql new file mode 100644 index 000000000..c6b9255df --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql @@ -0,0 +1,2 @@ +-- Otherresearchproduct_citations +Create table ${stats_db_name}.otherresearchproduct_citations as select substr(o.id, 4) as id, xpath_string(citation.value, "//citation/id[@type='openaire']/@value") as result from ${openaire_db_name}.otherresearchproduct o lateral view explode(o.extrainfo) citations as citation where xpath_string(citation.value, "//citation/id[@type='openaire']/@value") !=""; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql new file mode 100644 index 000000000..0a93764b6 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.otherresearchproduct_classifications AS SELECT substr(p.id, 4) as id, instancetype.classname as type from ${openaire_db_name}.otherresearchproduct p LATERAL VIEW explode(p.instance.instancetype) instances as instancetype; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql new file mode 100644 index 000000000..a37f2f25e --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.otherresearchproduct_concepts AS SELECT substr(p.id, 4) as id, contexts.context.id as concept from ${openaire_db_name}.otherresearchproduct p LATERAL VIEW explode(p.context) contexts as context; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql new file mode 100644 index 000000000..b7aa69e9a --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql @@ -0,0 +1,3 @@ +CREATE TABLE ${stats_db_name}.otherresearchproduct_datasources as SELECT p.id, case when d.id is null then 'other' else p.datasource end as datasource FROM (SELECT substr(p.id, 4) as id, substr(instances.instance.hostedby.key, 4) as datasource +from ${openaire_db_name}.otherresearchproduct p lateral view explode(p.instance) instances as instance) p LEFT OUTER JOIN +(SELECT substr(d.id, 4) id from ${openaire_db_name}.datasource d WHERE d.datainfo.deletedbyinference=false) d on p.datasource = d.id; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql new file mode 100644 index 000000000..ba9208cf6 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.otherresearchproduct_languages AS select substr(p.id, 4) as id, p.language.classname as language from ${openaire_db_name}.otherresearchproduct p; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql new file mode 100644 index 000000000..4f2c5c3bb --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql @@ -0,0 +1 @@ +CREATE TABLE ${stats_db_name}.otherresearchproduct_oids AS SELECT substr(p.id, 4) as id, oids.ids as oid from ${openaire_db_name}.otherresearchproduct p LATERAL VIEW explode(p.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql new file mode 100644 index 000000000..4ab11adfe --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql @@ -0,0 +1 @@ +create table ${stats_db_name}.otherresearchproduct_pids as select substr(p.id, 4) as id, ppid.qualifier.classname as type, ppid.value as pid from ${openaire_db_name}.otherresearchproduct p lateral view explode(p.pid) pids as ppid; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql new file mode 100644 index 000000000..0c775452d --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql @@ -0,0 +1,8 @@ +------------------------------------------------------ +------------------------------------------------------ +-- 7. Project table/view and Project related tables/views +------------------------------------------------------ +------------------------------------------------------ +-- Project_oids Table +DROP TABLE IF EXISTS ${stats_db_name}.project_oids; +CREATE TABLE ${stats_db_name}.project_oids AS SELECT substr(p.id, 4) as id, oids.ids as oid from ${openaire_db_name}.project p LATERAL VIEW explode(p.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql new file mode 100644 index 000000000..27770c390 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql @@ -0,0 +1,3 @@ +-- Project_organizations Table +DROP TABLE IF EXISTS ${stats_db_name}.project_organizations; +CREATE TABLE ${stats_db_name}.project_organizations AS SELECT substr(r.source, 4) as id, substr(r.target, 4) AS organization from ${openaire_db_name}.relation r WHERE r.reltype='projectOrganization'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql new file mode 100644 index 000000000..fcefd7dcc --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql @@ -0,0 +1,3 @@ +-- Project_results Table +DROP TABLE IF EXISTS ${stats_db_name}.project_results; +CREATE TABLE ${stats_db_name}.project_results AS SELECT substr(r.target, 4) as id, substr(r.source, 4) AS result from ${openaire_db_name}.relation r WHERE r.reltype='resultProject'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql new file mode 100644 index 000000000..a80573765 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql @@ -0,0 +1,5 @@ +-- Project table +---------------- +-- Creating and populating temporary Project table +DROP TABLE IF EXISTS ${stats_db_name}.project_tmp; +CREATE TABLE ${stats_db_name}.project_tmp (id STRING, acronym STRING, title STRING, funder STRING, funding_lvl0 STRING, funding_lvl1 STRING, funding_lvl2 STRING, ec39 STRING, type STRING, startdate STRING, enddate STRING, start_year STRING, end_year STRING, duration INT, haspubs STRING, numpubs INT, daysforlastpub INT, delayedpubs INT, callidentifier STRING, code STRING) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql new file mode 100644 index 000000000..c633d9177 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql @@ -0,0 +1 @@ +INSERT INTO ${stats_db_name}.project_tmp SELECT substr(p.id, 4) as id, p.acronym.value as acronym, p.title.value as title, xpath_string(p.fundingtree[0].value, '//funder/name') as funder, xpath_string(p.fundingtree[0].value, '//funding_level_0/name') as funding_lvl0, xpath_string(p.fundingtree[0].value, '//funding_level_1/name') as funding_lvl1, xpath_string(p.fundingtree[0].value, '//funding_level_2/name') as funding_lvl2, p.ecsc39.value as ec39, p.contracttype.classname as type, p.startdate.value as startdate, p.enddate.value as enddate, date_format(p.startdate.value, 'yyyy') as start_year, date_format(p.enddate.value, 'yyyy') as end_year, 0 as duration, 'no' as haspubs, 0 as numpubs, 0 as daysforlastpub, 0 as delayedpubs, p.callidentifier.value as callidentifier, p.code.value as code from ${openaire_db_name}.project p WHERE p.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql new file mode 100644 index 000000000..e855e59ff --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql @@ -0,0 +1,8 @@ +---------------------------------------------------- +---------------------------------------------------- +-- 8. Result table/view and Result related tables/views +---------------------------------------------------- +---------------------------------------------------- + +-- Views on temporary tables that should be re-created in the end +CREATE OR REPLACE VIEW ${stats_db_name}.result as SELECT *, bestlicence as access_mode FROM ${stats_db_name}.publication_tmp UNION ALL SELECT *,bestlicence as access_mode FROM ${stats_db_name}.software_tmp UNION ALL SELECT *,bestlicence as access_mode FROM ${stats_db_name}.dataset_tmp UNION ALL SELECT *,bestlicence as access_mode FROM ${stats_db_name}.otherresearchproduct_tmp; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql new file mode 100644 index 000000000..c9ad0760f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql @@ -0,0 +1,2 @@ +DROP TABLE IF EXISTS ${stats_db_name}.result_organization; +CREATE TABLE ${stats_db_name}.result_organization AS SELECT substr(r.target, 4) as id, substr(r.source, 4) as organization from ${openaire_db_name}.relation r where r.reltype='resultOrganization'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql new file mode 100644 index 000000000..a2c0d85be --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql @@ -0,0 +1,2 @@ +DROP TABLE IF EXISTS ${stats_db_name}.result_projects; +CREATE TABLE ${stats_db_name}.result_projects AS select pr.result as id, pr.id as project, datediff(p.enddate, p.startdate) as daysfromend from ${stats_db_name}.result r join ${stats_db_name}.project_results pr on r.id=pr.result join ${stats_db_name}.project_tmp p on p.id=pr.id; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql new file mode 100644 index 000000000..94a230d21 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql @@ -0,0 +1,2 @@ +-- Views on final tables +CREATE OR REPLACE VIEW ${stats_db_name}.result_datasources as SELECT * FROM ${stats_db_name}.publication_datasources UNION ALL SELECT * FROM ${stats_db_name}.software_datasources UNION ALL SELECT * FROM ${stats_db_name}.dataset_datasources UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_datasources; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql new file mode 100644 index 000000000..3d61dc8fa --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_citations as SELECT * FROM ${stats_db_name}.publication_citations UNION ALL SELECT * FROM ${stats_db_name}.software_citations UNION ALL SELECT * FROM ${stats_db_name}.dataset_citations UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_citations; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql new file mode 100644 index 000000000..c27c9964f --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_classifications as SELECT * FROM ${stats_db_name}.publication_classifications UNION ALL SELECT * FROM ${stats_db_name}.software_classifications UNION ALL SELECT * FROM ${stats_db_name}.dataset_classifications UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_classifications; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql new file mode 100644 index 000000000..1f81adb73 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_concepts as SELECT * FROM ${stats_db_name}.publication_concepts UNION ALL SELECT * FROM ${stats_db_name}.software_concepts UNION ALL SELECT * FROM ${stats_db_name}.dataset_concepts UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_concepts; \ No newline at end of file diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql new file mode 100644 index 000000000..2ea29f2f3 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_languages as SELECT * FROM ${stats_db_name}.publication_languages UNION ALL SELECT * FROM ${stats_db_name}.software_languages UNION ALL SELECT * FROM ${stats_db_name}.dataset_languages UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_languages; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql new file mode 100644 index 000000000..b4e69d413 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_oids as SELECT * FROM ${stats_db_name}.publication_oids UNION ALL SELECT * FROM ${stats_db_name}.software_oids UNION ALL SELECT * FROM ${stats_db_name}.dataset_oids UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_oids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql new file mode 100644 index 000000000..36e753f5c --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_pids as SELECT * FROM ${stats_db_name}.publication_pids UNION ALL SELECT * FROM ${stats_db_name}.software_pids UNION ALL SELECT * FROM ${stats_db_name}.dataset_pids UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_pids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql new file mode 100644 index 000000000..075ab266b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.result_topics as SELECT * FROM ${stats_db_name}.publication_topics UNION ALL SELECT * FROM ${stats_db_name}.software_topics UNION ALL SELECT * FROM ${stats_db_name}.dataset_topics UNION ALL SELECT * FROM ${stats_db_name}.otherresearchproduct_topics; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql new file mode 100644 index 000000000..c2274d2e0 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql @@ -0,0 +1,10 @@ +------------------------------------------------------------ +------------------------------------------------------------ +-- 9. Datasource table/view and Datasource related tables/views +------------------------------------------------------------ +------------------------------------------------------------ +-- Datasource table creation & update +------------------------------------- +-- Creating and populating temporary datasource table +DROP TABLE IF EXISTS ${stats_db_name}.datasource_tmp; +create table ${stats_db_name}.datasource_tmp(`id` string, `name` string, `type` string, `dateofvalidation` string, `yearofvalidation` string, `harvested` boolean, `piwik_id` int, `latitude` string, `longitude` string, `websiteurl` string, `compatibility` string) clustered by (id) into 100 buckets stored as orc tblproperties('transactional'='true'); diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql new file mode 100644 index 000000000..fd89e0d5b --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql @@ -0,0 +1,3 @@ +insert into ${stats_db_name}.datasource_tmp SELECT substr(d.id, 4) as id, officialname.value as name, datasourcetype.classname as type, dateofvalidation.value as dateofvalidation, date_format(d.dateofvalidation.value,'yyyy') as yearofvalidation, false as harvested, 0 as piwik_id, d.latitude.value as latitude, d.longitude.value as longitude, d.websiteurl.value as websiteurl, d.openairecompatibility.classid as compatibility +from ${openaire_db_name}.datasource d +WHERE d.datainfo.deletedbyinference=false; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql new file mode 100644 index 000000000..2266bc724 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql @@ -0,0 +1,7 @@ +-- Updating temporary table with everything that is not based on results -> This is done with the following "dual" table. To see if default values are there +-- Creating a temporary dual table that will be removed after the following insert +CREATE TABLE ${stats_db_name}.dual(dummy char(1)); +INSERT INTO ${stats_db_name}.dual values('X'); +INSERT INTO ${stats_db_name}.datasource_tmp (`id`, `name`, `type`, `dateofvalidation`, `yearofvalidation`, `harvested`, `piwik_id`, `latitude`, `longitude`, `websiteurl`, `compatibility`) +SELECT 'other', 'Other', 'Repository', NULL, NULL, false, 0, NULL, NULL, NULL, 'unknown' FROM ${stats_db_name}.dual WHERE 'other' not in (SELECT id FROM ${stats_db_name}.datasource_tmp WHERE name='Unknown Repository'); +DROP TABLE ${stats_db_name}.dual; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql new file mode 100644 index 000000000..dd5f9b314 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql @@ -0,0 +1 @@ +UPDATE ${stats_db_name}.datasource_tmp SET name='Other' where name='Unknown Repository'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql new file mode 100644 index 000000000..77ee81b04 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql @@ -0,0 +1 @@ +UPDATE ${stats_db_name}.datasource_tmp SET yearofvalidation=null WHERE yearofvalidation='-1'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql new file mode 100644 index 000000000..d4ca2e10e --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql @@ -0,0 +1,2 @@ +DROP TABLE IF EXISTS ${stats_db_name}.datasource_languages; +CREATE TABLE ${stats_db_name}.datasource_languages AS SELECT substr(d.id, 4) as id, langs.languages as language from openaire.datasource d LATERAL VIEW explode(d.odlanguages.value) langs as languages; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql new file mode 100644 index 000000000..194633cb7 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql @@ -0,0 +1,2 @@ +DROP TABLE IF EXISTS ${stats_db_name}.datasource_oids; +CREATE TABLE ${stats_db_name}.datasource_oids AS SELECT substr(d.id, 4) as id, oids.ids as oid from ${openaire_db_name}.datasource d LATERAL VIEW explode(d.originalid) oids as ids; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql new file mode 100644 index 000000000..c25858d2c --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql @@ -0,0 +1,2 @@ +DROP TABLE IF EXISTS ${stats_db_name}.datasource_organizations; +CREATE TABLE ${stats_db_name}.datasource_organizations AS select substr(r.target, 4) as id, substr(r.source, 4) as organization from ${openaire_db_name}.relation r where r.reltype='datasourceOrganization'; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql new file mode 100644 index 000000000..ec4aa0569 --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql @@ -0,0 +1 @@ +CREATE OR REPLACE VIEW ${stats_db_name}.datasource_results AS SELECT datasource AS id, id AS result FROM ${stats_db_name}.result_datasources; diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml new file mode 100644 index 000000000..40f4b14ba --- /dev/null +++ b/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml @@ -0,0 +1,1479 @@ + + + + stats_db_name + the target stats database name + + + openaire_db_name + the original graph database name + + + external_stats_db_name + the external stats that should be added since they are not included in the graph database + + + + + + + Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}] + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + external_stats_db_name=${external_stats_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + ${hive_jdbc_url} + + stats_db_name=${stats_db_name} + openaire_db_name=${openaire_db_name} + + + + + + + diff --git a/dhp-workflows/pom.xml b/dhp-workflows/pom.xml index 4b5fb4b4f..312826dac 100644 --- a/dhp-workflows/pom.xml +++ b/dhp-workflows/pom.xml @@ -21,6 +21,7 @@ dhp-graph-provision dhp-dedup-scholexplorer dhp-graph-provision-scholexplorer + dhp-stats-update From a5d7007005e80d363d74cf7fe9f6e564f1901f0e Mon Sep 17 00:00:00 2001 From: "michele.artini" Date: Wed, 29 Apr 2020 12:05:41 +0200 Subject: [PATCH 2/7] Fix relations in migration Fix pom.xml in dhp-stats-update --- .../raw/MigrateDbEntitiesApplication.java | 1017 ++++++++--------- 1 file changed, 506 insertions(+), 511 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java index 7ba1f2576..f048698c8 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java @@ -1,4 +1,3 @@ - package eu.dnetlib.dhp.oa.graph.raw; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.asString; @@ -11,23 +10,6 @@ import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.listKeyValues; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.qualifier; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.structuredProperty; -import java.io.Closeable; -import java.io.IOException; -import java.sql.Array; -import java.sql.ResultSet; -import java.sql.SQLException; -import java.util.ArrayList; -import java.util.Arrays; -import java.util.Date; -import java.util.List; -import java.util.function.Consumer; -import java.util.function.Function; - -import org.apache.commons.io.IOUtils; -import org.apache.commons.lang3.StringUtils; -import org.apache.commons.logging.Log; -import org.apache.commons.logging.LogFactory; - import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.raw.common.AbstractMigrationApplication; import eu.dnetlib.dhp.oa.graph.raw.common.DbClient; @@ -49,499 +31,512 @@ import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.dhp.schema.oaf.Result; import eu.dnetlib.dhp.schema.oaf.Software; import eu.dnetlib.dhp.schema.oaf.StructuredProperty; +import java.io.Closeable; +import java.io.IOException; +import java.sql.Array; +import java.sql.ResultSet; +import java.sql.SQLException; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Date; +import java.util.List; +import java.util.function.Consumer; +import java.util.function.Function; +import org.apache.commons.io.IOUtils; +import org.apache.commons.lang3.StringUtils; +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; public class MigrateDbEntitiesApplication extends AbstractMigrationApplication - implements Closeable { - - private static final Log log = LogFactory.getLog(MigrateDbEntitiesApplication.class); - - private final DbClient dbClient; - - private final long lastUpdateTimestamp; - - public static void main(final String[] args) throws Exception { - final ArgumentApplicationParser parser = new ArgumentApplicationParser( - IOUtils - .toString( - MigrateDbEntitiesApplication.class - .getResourceAsStream( - "/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json"))); - - parser.parseArgument(args); - - final String dbUrl = parser.get("postgresUrl"); - final String dbUser = parser.get("postgresUser"); - final String dbPassword = parser.get("postgresPassword"); - - final String hdfsPath = parser.get("hdfsPath"); - - final boolean processClaims = parser.get("action") != null && parser.get("action").equalsIgnoreCase("claims"); - - try (final MigrateDbEntitiesApplication smdbe = new MigrateDbEntitiesApplication(hdfsPath, dbUrl, dbUser, - dbPassword)) { - if (processClaims) { - log.info("Processing claims..."); - smdbe.execute("queryClaims.sql", smdbe::processClaims); - } else { - log.info("Processing datasources..."); - smdbe.execute("queryDatasources.sql", smdbe::processDatasource); - - log.info("Processing projects..."); - smdbe.execute("queryProjects.sql", smdbe::processProject); - - log.info("Processing orgs..."); - smdbe.execute("queryOrganizations.sql", smdbe::processOrganization); - - log.info("Processing relations ds <-> orgs ..."); - smdbe.execute("queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization); - - log.info("Processing projects <-> orgs ..."); - smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization); - } - log.info("All done."); - } - } - - protected MigrateDbEntitiesApplication() { // ONLY FOR UNIT TEST - super(); - this.dbClient = null; - this.lastUpdateTimestamp = new Date().getTime(); - } - - public MigrateDbEntitiesApplication( - final String hdfsPath, final String dbUrl, final String dbUser, final String dbPassword) - throws Exception { - super(hdfsPath); - this.dbClient = new DbClient(dbUrl, dbUser, dbPassword); - this.lastUpdateTimestamp = new Date().getTime(); - } - - public void execute(final String sqlFile, final Function> producer) - throws Exception { - final String sql = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/sql/" + sqlFile)); - - final Consumer consumer = rs -> producer.apply(rs).forEach(oaf -> emitOaf(oaf)); - - dbClient.processResults(sql, consumer); - } - - public List processDatasource(final ResultSet rs) { - - try { - - final DataInfo info = prepareDataInfo(rs); - - final Datasource ds = new Datasource(); - - ds.setId(createOpenaireId(10, rs.getString("datasourceid"), true)); - ds.setOriginalId(Arrays.asList(rs.getString("datasourceid"))); - ds - .setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - ds.setPid(new ArrayList<>()); - ds.setDateofcollection(asString(rs.getDate("dateofcollection"))); - ds.setDateoftransformation(null); // Value not returned by the SQL query - ds.setExtraInfo(new ArrayList<>()); // Values not present in the DB - ds.setOaiprovenance(null); // Values not present in the DB - ds.setDatasourcetype(prepareQualifierSplitting(rs.getString("datasourcetype"))); - ds.setOpenairecompatibility(prepareQualifierSplitting(rs.getString("openairecompatibility"))); - ds.setOfficialname(field(rs.getString("officialname"), info)); - ds.setEnglishname(field(rs.getString("englishname"), info)); - ds.setWebsiteurl(field(rs.getString("websiteurl"), info)); - ds.setLogourl(field(rs.getString("logourl"), info)); - ds.setContactemail(field(rs.getString("contactemail"), info)); - ds.setNamespaceprefix(field(rs.getString("namespaceprefix"), info)); - ds.setLatitude(field(Double.toString(rs.getDouble("latitude")), info)); - ds.setLongitude(field(Double.toString(rs.getDouble("longitude")), info)); - ds.setDateofvalidation(field(asString(rs.getDate("dateofvalidation")), info)); - ds.setDescription(field(rs.getString("description"), info)); - ds.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); - ds.setOdnumberofitems(field(Double.toString(rs.getInt("odnumberofitems")), info)); - ds.setOdnumberofitemsdate(field(asString(rs.getDate("odnumberofitemsdate")), info)); - ds.setOdpolicies(field(rs.getString("odpolicies"), info)); - ds.setOdlanguages(prepareListFields(rs.getArray("odlanguages"), info)); - ds.setOdcontenttypes(prepareListFields(rs.getArray("odcontenttypes"), info)); - ds.setAccessinfopackage(prepareListFields(rs.getArray("accessinfopackage"), info)); - ds.setReleasestartdate(field(asString(rs.getDate("releasestartdate")), info)); - ds.setReleaseenddate(field(asString(rs.getDate("releaseenddate")), info)); - ds.setMissionstatementurl(field(rs.getString("missionstatementurl"), info)); - ds.setDataprovider(field(rs.getBoolean("dataprovider"), info)); - ds.setServiceprovider(field(rs.getBoolean("serviceprovider"), info)); - ds.setDatabaseaccesstype(field(rs.getString("databaseaccesstype"), info)); - ds.setDatauploadtype(field(rs.getString("datauploadtype"), info)); - ds.setDatabaseaccessrestriction(field(rs.getString("databaseaccessrestriction"), info)); - ds.setDatauploadrestriction(field(rs.getString("datauploadrestriction"), info)); - ds.setVersioning(field(rs.getBoolean("versioning"), info)); - ds.setCitationguidelineurl(field(rs.getString("citationguidelineurl"), info)); - ds.setQualitymanagementkind(field(rs.getString("qualitymanagementkind"), info)); - ds.setPidsystems(field(rs.getString("pidsystems"), info)); - ds.setCertificates(field(rs.getString("certificates"), info)); - ds.setPolicies(new ArrayList<>()); // The sql query returns an empty array - ds - .setJournal( - prepareJournal(rs.getString("officialname"), rs.getString("journal"), info)); // Journal - ds.setDataInfo(info); - ds.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(ds); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processProject(final ResultSet rs) { - try { - - final DataInfo info = prepareDataInfo(rs); - - final Project p = new Project(); - - p.setId(createOpenaireId(40, rs.getString("projectid"), true)); - p.setOriginalId(Arrays.asList(rs.getString("projectid"))); - p - .setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - p.setPid(new ArrayList<>()); - p.setDateofcollection(asString(rs.getDate("dateofcollection"))); - p.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); - p.setExtraInfo(new ArrayList<>()); // Values not present in the DB - p.setOaiprovenance(null); // Values not present in the DB - p.setWebsiteurl(field(rs.getString("websiteurl"), info)); - p.setCode(field(rs.getString("code"), info)); - p.setAcronym(field(rs.getString("acronym"), info)); - p.setTitle(field(rs.getString("title"), info)); - p.setStartdate(field(asString(rs.getDate("startdate")), info)); - p.setEnddate(field(asString(rs.getDate("enddate")), info)); - p.setCallidentifier(field(rs.getString("callidentifier"), info)); - p.setKeywords(field(rs.getString("keywords"), info)); - p.setDuration(field(Integer.toString(rs.getInt("duration")), info)); - p.setEcsc39(field(Boolean.toString(rs.getBoolean("ecsc39")), info)); - p - .setOamandatepublications( - field(Boolean.toString(rs.getBoolean("oamandatepublications")), info)); - p.setEcarticle29_3(field(Boolean.toString(rs.getBoolean("ecarticle29_3")), info)); - p.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); - p.setFundingtree(prepareListFields(rs.getArray("fundingtree"), info)); - p.setContracttype(prepareQualifierSplitting(rs.getString("contracttype"))); - p.setOptional1(field(rs.getString("optional1"), info)); - p.setOptional2(field(rs.getString("optional2"), info)); - p.setJsonextrainfo(field(rs.getString("jsonextrainfo"), info)); - p.setContactfullname(field(rs.getString("contactfullname"), info)); - p.setContactfax(field(rs.getString("contactfax"), info)); - p.setContactphone(field(rs.getString("contactphone"), info)); - p.setContactemail(field(rs.getString("contactemail"), info)); - p.setSummary(field(rs.getString("summary"), info)); - p.setCurrency(field(rs.getString("currency"), info)); - p.setTotalcost(new Float(rs.getDouble("totalcost"))); - p.setFundedamount(new Float(rs.getDouble("fundedamount"))); - p.setDataInfo(info); - p.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(p); - - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processOrganization(final ResultSet rs) { - - try { - - final DataInfo info = prepareDataInfo(rs); - - final Organization o = new Organization(); - - o.setId(createOpenaireId(20, rs.getString("organizationid"), true)); - o.setOriginalId(Arrays.asList(rs.getString("organizationid"))); - o - .setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - o.setPid(new ArrayList<>()); - o.setDateofcollection(asString(rs.getDate("dateofcollection"))); - o.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); - o.setExtraInfo(new ArrayList<>()); // Values not present in the DB - o.setOaiprovenance(null); // Values not present in the DB - o.setLegalshortname(field(rs.getString("legalshortname"), info)); - o.setLegalname(field(rs.getString("legalname"), info)); - o.setAlternativeNames(new ArrayList<>()); // Values not returned by the SQL query - o.setWebsiteurl(field(rs.getString("websiteurl"), info)); - o.setLogourl(field(rs.getString("logourl"), info)); - o.setEclegalbody(field(Boolean.toString(rs.getBoolean("eclegalbody")), info)); - o.setEclegalperson(field(Boolean.toString(rs.getBoolean("eclegalperson")), info)); - o.setEcnonprofit(field(Boolean.toString(rs.getBoolean("ecnonprofit")), info)); - o - .setEcresearchorganization( - field(Boolean.toString(rs.getBoolean("ecresearchorganization")), info)); - o.setEchighereducation(field(Boolean.toString(rs.getBoolean("echighereducation")), info)); - o - .setEcinternationalorganizationeurinterests( - field(Boolean.toString(rs.getBoolean("ecinternationalorganizationeurinterests")), info)); - o - .setEcinternationalorganization( - field(Boolean.toString(rs.getBoolean("ecinternationalorganization")), info)); - o.setEcenterprise(field(Boolean.toString(rs.getBoolean("ecenterprise")), info)); - o.setEcsmevalidated(field(Boolean.toString(rs.getBoolean("ecsmevalidated")), info)); - o.setEcnutscode(field(Boolean.toString(rs.getBoolean("ecnutscode")), info)); - o.setCountry(prepareQualifierSplitting(rs.getString("country"))); - o.setDataInfo(info); - o.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(o); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processDatasourceOrganization(final ResultSet rs) { - try { - final DataInfo info = prepareDataInfo(rs); - final String orgId = createOpenaireId(20, rs.getString("organization"), true); - final String dsId = createOpenaireId(10, rs.getString("datasource"), true); - final List collectedFrom = listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname")); - - final Relation r1 = new Relation(); - r1.setRelType("datasourceOrganization"); - r1.setSubRelType("provision"); - r1.setRelClass("isProvidedBy"); - r1.setSource(dsId); - r1.setTarget(orgId); - r1.setCollectedfrom(collectedFrom); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - final Relation r2 = new Relation(); - r2.setRelType("datasourceOrganization"); - r2.setSubRelType("provision"); - r2.setRelClass("provides"); - r2.setSource(orgId); - r2.setTarget(dsId); - r2.setCollectedfrom(collectedFrom); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processProjectOrganization(final ResultSet rs) { - try { - final DataInfo info = prepareDataInfo(rs); - final String orgId = createOpenaireId(20, rs.getString("resporganization"), true); - final String projectId = createOpenaireId(40, rs.getString("project"), true); - final List collectedFrom = listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname")); - - final Relation r1 = new Relation(); - r1.setRelType("projectOrganization"); - r1.setSubRelType("participation"); - r1.setRelClass("isParticipant"); - r1.setSource(projectId); - r1.setTarget(orgId); - r1.setCollectedfrom(collectedFrom); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - final Relation r2 = new Relation(); - r2.setRelType("projectOrganization"); - r2.setSubRelType("participation"); - r2.setRelClass("hasParticipant"); - r2.setSource(orgId); - r2.setTarget(projectId); - r2.setCollectedfrom(collectedFrom); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processClaims(final ResultSet rs) { - - final DataInfo info = dataInfo( - false, - null, - false, - false, - qualifier( - "user:claim", "user:claim", "dnet:provenanceActions", "dnet:provenanceActions"), - "0.9"); - - final List collectedFrom = listKeyValues( - createOpenaireId(10, "infrastruct_::openaire", true), "OpenAIRE"); - - try { - - if (rs.getString("source_type").equals("context")) { - final Result r; - - if (rs.getString("target_type").equals("dataset")) { - r = new Dataset(); - r.setResulttype(MigrationConstants.DATASET_RESULTTYPE_QUALIFIER); - } else if (rs.getString("target_type").equals("software")) { - r = new Software(); - r.setResulttype(MigrationConstants.SOFTWARE_RESULTTYPE_QUALIFIER); - } else if (rs.getString("target_type").equals("other")) { - r = new OtherResearchProduct(); - r.setResulttype(MigrationConstants.OTHER_RESULTTYPE_QUALIFIER); - } else { - r = new Publication(); - r.setResulttype(MigrationConstants.PUBLICATION_RESULTTYPE_QUALIFIER); - } - r.setId(createOpenaireId(50, rs.getString("target_id"), false)); - r.setLastupdatetimestamp(lastUpdateTimestamp); - r.setContext(prepareContext(rs.getString("source_id"), info)); - r.setDataInfo(info); - r.setCollectedfrom(collectedFrom); - - return Arrays.asList(r); - } else { - final String sourceId = createOpenaireId(rs.getString("source_type"), rs.getString("source_id"), false); - final String targetId = createOpenaireId(rs.getString("target_type"), rs.getString("target_id"), false); - - final Relation r1 = new Relation(); - final Relation r2 = new Relation(); - - if (rs.getString("source_type").equals("project")) { - r1.setCollectedfrom(collectedFrom); - r1.setRelType("resultProject"); - r1.setSubRelType("outcome"); - r1.setRelClass("produces"); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType("resultProject"); - r2.setSubRelType("outcome"); - r2.setRelClass("isProducedBy"); - } else { - r1.setCollectedfrom(collectedFrom); - r1.setRelType("resultResult"); - r1.setSubRelType("relationship"); - r1.setRelClass("isRelatedTo"); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType("resultResult"); - r2.setSubRelType("relationship"); - r2.setRelClass("isRelatedTo"); - } - - r1.setSource(sourceId); - r1.setTarget(targetId); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - r2.setSource(targetId); - r2.setTarget(sourceId); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } - - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - private List prepareContext(final String id, final DataInfo dataInfo) { - final Context context = new Context(); - context.setId(id); - context.setDataInfo(Arrays.asList(dataInfo)); - return Arrays.asList(context); - } - - private DataInfo prepareDataInfo(final ResultSet rs) throws SQLException { - final Boolean deletedbyinference = rs.getBoolean("deletedbyinference"); - final String inferenceprovenance = rs.getString("inferenceprovenance"); - final Boolean inferred = rs.getBoolean("inferred"); - final String trust = rs.getString("trust"); - return dataInfo( - deletedbyinference, - inferenceprovenance, - inferred, - false, - MigrationConstants.ENTITYREGISTRY_PROVENANCE_ACTION, - trust); - } - - private Qualifier prepareQualifierSplitting(final String s) { - if (StringUtils.isBlank(s)) { - return null; - } - final String[] arr = s.split("@@@"); - return arr.length == 4 ? qualifier(arr[0], arr[1], arr[2], arr[3]) : null; - } - - private List> prepareListFields(final Array array, final DataInfo info) { - try { - return array != null ? listFields(info, (String[]) array.getArray()) : new ArrayList<>(); - } catch (final SQLException e) { - throw new RuntimeException("Invalid SQL array", e); - } - } - - private StructuredProperty prepareStructProp(final String s, final DataInfo dataInfo) { - if (StringUtils.isBlank(s)) { - return null; - } - final String[] parts = s.split("###"); - if (parts.length == 2) { - final String value = parts[0]; - final String[] arr = parts[1].split("@@@"); - if (arr.length == 4) { - return structuredProperty(value, arr[0], arr[1], arr[2], arr[3], dataInfo); - } - } - return null; - } - - private List prepareListOfStructProps( - final Array array, final DataInfo dataInfo) throws SQLException { - final List res = new ArrayList<>(); - if (array != null) { - for (final String s : (String[]) array.getArray()) { - final StructuredProperty sp = prepareStructProp(s, dataInfo); - if (sp != null) { - res.add(sp); - } - } - } - - return res; - } - - private Journal prepareJournal(final String name, final String sj, final DataInfo info) { - if (StringUtils.isNotBlank(sj)) { - final String[] arr = sj.split("@@@"); - if (arr.length == 3) { - final String issn = StringUtils.isNotBlank(arr[0]) ? arr[0] : null; - final String eissn = StringUtils.isNotBlank(arr[1]) ? arr[1] : null; - ; - final String lissn = StringUtils.isNotBlank(arr[2]) ? arr[2] : null; - ; - if (issn != null || eissn != null || lissn != null) { - return journal(name, issn, eissn, eissn, null, null, null, null, null, null, null, info); - } - } - } - return null; - } - - @Override - public void close() throws IOException { - super.close(); - dbClient.close(); - } + implements Closeable { + + private static final Log log = LogFactory.getLog(MigrateDbEntitiesApplication.class); + + private final DbClient dbClient; + + private final long lastUpdateTimestamp; + + public static void main(final String[] args) throws Exception { + final ArgumentApplicationParser parser = + new ArgumentApplicationParser( + IOUtils.toString( + MigrateDbEntitiesApplication.class.getResourceAsStream( + "/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json"))); + + parser.parseArgument(args); + + final String dbUrl = parser.get("postgresUrl"); + final String dbUser = parser.get("postgresUser"); + final String dbPassword = parser.get("postgresPassword"); + + final String hdfsPath = parser.get("hdfsPath"); + + final boolean processClaims = + parser.get("action") != null && parser.get("action").equalsIgnoreCase("claims"); + + try (final MigrateDbEntitiesApplication smdbe = + new MigrateDbEntitiesApplication(hdfsPath, dbUrl, dbUser, dbPassword)) { + if (processClaims) { + log.info("Processing claims..."); + smdbe.execute("queryClaims.sql", smdbe::processClaims); + } else { + log.info("Processing datasources..."); + smdbe.execute("queryDatasources.sql", smdbe::processDatasource); + + log.info("Processing projects..."); + smdbe.execute("queryProjects.sql", smdbe::processProject); + + log.info("Processing orgs..."); + smdbe.execute("queryOrganizations.sql", smdbe::processOrganization); + + log.info("Processing relations ds <-> orgs ..."); + smdbe.execute("queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization); + + log.info("Processing projects <-> orgs ..."); + smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization); + } + log.info("All done."); + } + } + + protected MigrateDbEntitiesApplication() { // ONLY FOR UNIT TEST + super(); + this.dbClient = null; + this.lastUpdateTimestamp = new Date().getTime(); + } + + public MigrateDbEntitiesApplication( + final String hdfsPath, final String dbUrl, final String dbUser, final String dbPassword) + throws Exception { + super(hdfsPath); + this.dbClient = new DbClient(dbUrl, dbUser, dbPassword); + this.lastUpdateTimestamp = new Date().getTime(); + } + + public void execute(final String sqlFile, final Function> producer) + throws Exception { + final String sql = + IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/sql/" + sqlFile)); + + final Consumer consumer = rs -> producer.apply(rs).forEach(oaf -> emitOaf(oaf)); + + dbClient.processResults(sql, consumer); + } + + public List processDatasource(final ResultSet rs) { + + try { + + final DataInfo info = prepareDataInfo(rs); + + final Datasource ds = new Datasource(); + + ds.setId(createOpenaireId(10, rs.getString("datasourceid"), true)); + ds.setOriginalId(Arrays.asList(rs.getString("datasourceid"))); + ds.setCollectedfrom( + listKeyValues( + createOpenaireId(10, rs.getString("collectedfromid"), true), + rs.getString("collectedfromname"))); + ds.setPid(new ArrayList<>()); + ds.setDateofcollection(asString(rs.getDate("dateofcollection"))); + ds.setDateoftransformation(null); // Value not returned by the SQL query + ds.setExtraInfo(new ArrayList<>()); // Values not present in the DB + ds.setOaiprovenance(null); // Values not present in the DB + ds.setDatasourcetype(prepareQualifierSplitting(rs.getString("datasourcetype"))); + ds.setOpenairecompatibility(prepareQualifierSplitting(rs.getString("openairecompatibility"))); + ds.setOfficialname(field(rs.getString("officialname"), info)); + ds.setEnglishname(field(rs.getString("englishname"), info)); + ds.setWebsiteurl(field(rs.getString("websiteurl"), info)); + ds.setLogourl(field(rs.getString("logourl"), info)); + ds.setContactemail(field(rs.getString("contactemail"), info)); + ds.setNamespaceprefix(field(rs.getString("namespaceprefix"), info)); + ds.setLatitude(field(Double.toString(rs.getDouble("latitude")), info)); + ds.setLongitude(field(Double.toString(rs.getDouble("longitude")), info)); + ds.setDateofvalidation(field(asString(rs.getDate("dateofvalidation")), info)); + ds.setDescription(field(rs.getString("description"), info)); + ds.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); + ds.setOdnumberofitems(field(Double.toString(rs.getInt("odnumberofitems")), info)); + ds.setOdnumberofitemsdate(field(asString(rs.getDate("odnumberofitemsdate")), info)); + ds.setOdpolicies(field(rs.getString("odpolicies"), info)); + ds.setOdlanguages(prepareListFields(rs.getArray("odlanguages"), info)); + ds.setOdcontenttypes(prepareListFields(rs.getArray("odcontenttypes"), info)); + ds.setAccessinfopackage(prepareListFields(rs.getArray("accessinfopackage"), info)); + ds.setReleasestartdate(field(asString(rs.getDate("releasestartdate")), info)); + ds.setReleaseenddate(field(asString(rs.getDate("releaseenddate")), info)); + ds.setMissionstatementurl(field(rs.getString("missionstatementurl"), info)); + ds.setDataprovider(field(rs.getBoolean("dataprovider"), info)); + ds.setServiceprovider(field(rs.getBoolean("serviceprovider"), info)); + ds.setDatabaseaccesstype(field(rs.getString("databaseaccesstype"), info)); + ds.setDatauploadtype(field(rs.getString("datauploadtype"), info)); + ds.setDatabaseaccessrestriction(field(rs.getString("databaseaccessrestriction"), info)); + ds.setDatauploadrestriction(field(rs.getString("datauploadrestriction"), info)); + ds.setVersioning(field(rs.getBoolean("versioning"), info)); + ds.setCitationguidelineurl(field(rs.getString("citationguidelineurl"), info)); + ds.setQualitymanagementkind(field(rs.getString("qualitymanagementkind"), info)); + ds.setPidsystems(field(rs.getString("pidsystems"), info)); + ds.setCertificates(field(rs.getString("certificates"), info)); + ds.setPolicies(new ArrayList<>()); // The sql query returns an empty array + ds.setJournal( + prepareJournal(rs.getString("officialname"), rs.getString("journal"), info)); // Journal + ds.setDataInfo(info); + ds.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(ds); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processProject(final ResultSet rs) { + try { + + final DataInfo info = prepareDataInfo(rs); + + final Project p = new Project(); + + p.setId(createOpenaireId(40, rs.getString("projectid"), true)); + p.setOriginalId(Arrays.asList(rs.getString("projectid"))); + p.setCollectedfrom( + listKeyValues( + createOpenaireId(10, rs.getString("collectedfromid"), true), + rs.getString("collectedfromname"))); + p.setPid(new ArrayList<>()); + p.setDateofcollection(asString(rs.getDate("dateofcollection"))); + p.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); + p.setExtraInfo(new ArrayList<>()); // Values not present in the DB + p.setOaiprovenance(null); // Values not present in the DB + p.setWebsiteurl(field(rs.getString("websiteurl"), info)); + p.setCode(field(rs.getString("code"), info)); + p.setAcronym(field(rs.getString("acronym"), info)); + p.setTitle(field(rs.getString("title"), info)); + p.setStartdate(field(asString(rs.getDate("startdate")), info)); + p.setEnddate(field(asString(rs.getDate("enddate")), info)); + p.setCallidentifier(field(rs.getString("callidentifier"), info)); + p.setKeywords(field(rs.getString("keywords"), info)); + p.setDuration(field(Integer.toString(rs.getInt("duration")), info)); + p.setEcsc39(field(Boolean.toString(rs.getBoolean("ecsc39")), info)); + p.setOamandatepublications( + field(Boolean.toString(rs.getBoolean("oamandatepublications")), info)); + p.setEcarticle29_3(field(Boolean.toString(rs.getBoolean("ecarticle29_3")), info)); + p.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); + p.setFundingtree(prepareListFields(rs.getArray("fundingtree"), info)); + p.setContracttype(prepareQualifierSplitting(rs.getString("contracttype"))); + p.setOptional1(field(rs.getString("optional1"), info)); + p.setOptional2(field(rs.getString("optional2"), info)); + p.setJsonextrainfo(field(rs.getString("jsonextrainfo"), info)); + p.setContactfullname(field(rs.getString("contactfullname"), info)); + p.setContactfax(field(rs.getString("contactfax"), info)); + p.setContactphone(field(rs.getString("contactphone"), info)); + p.setContactemail(field(rs.getString("contactemail"), info)); + p.setSummary(field(rs.getString("summary"), info)); + p.setCurrency(field(rs.getString("currency"), info)); + p.setTotalcost(new Float(rs.getDouble("totalcost"))); + p.setFundedamount(new Float(rs.getDouble("fundedamount"))); + p.setDataInfo(info); + p.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(p); + + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processOrganization(final ResultSet rs) { + + try { + + final DataInfo info = prepareDataInfo(rs); + + final Organization o = new Organization(); + + o.setId(createOpenaireId(20, rs.getString("organizationid"), true)); + o.setOriginalId(Arrays.asList(rs.getString("organizationid"))); + o.setCollectedfrom( + listKeyValues( + createOpenaireId(10, rs.getString("collectedfromid"), true), + rs.getString("collectedfromname"))); + o.setPid(new ArrayList<>()); + o.setDateofcollection(asString(rs.getDate("dateofcollection"))); + o.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); + o.setExtraInfo(new ArrayList<>()); // Values not present in the DB + o.setOaiprovenance(null); // Values not present in the DB + o.setLegalshortname(field(rs.getString("legalshortname"), info)); + o.setLegalname(field(rs.getString("legalname"), info)); + o.setAlternativeNames(new ArrayList<>()); // Values not returned by the SQL query + o.setWebsiteurl(field(rs.getString("websiteurl"), info)); + o.setLogourl(field(rs.getString("logourl"), info)); + o.setEclegalbody(field(Boolean.toString(rs.getBoolean("eclegalbody")), info)); + o.setEclegalperson(field(Boolean.toString(rs.getBoolean("eclegalperson")), info)); + o.setEcnonprofit(field(Boolean.toString(rs.getBoolean("ecnonprofit")), info)); + o.setEcresearchorganization( + field(Boolean.toString(rs.getBoolean("ecresearchorganization")), info)); + o.setEchighereducation(field(Boolean.toString(rs.getBoolean("echighereducation")), info)); + o.setEcinternationalorganizationeurinterests( + field(Boolean.toString(rs.getBoolean("ecinternationalorganizationeurinterests")), info)); + o.setEcinternationalorganization( + field(Boolean.toString(rs.getBoolean("ecinternationalorganization")), info)); + o.setEcenterprise(field(Boolean.toString(rs.getBoolean("ecenterprise")), info)); + o.setEcsmevalidated(field(Boolean.toString(rs.getBoolean("ecsmevalidated")), info)); + o.setEcnutscode(field(Boolean.toString(rs.getBoolean("ecnutscode")), info)); + o.setCountry(prepareQualifierSplitting(rs.getString("country"))); + o.setDataInfo(info); + o.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(o); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processDatasourceOrganization(final ResultSet rs) { + try { + final DataInfo info = prepareDataInfo(rs); + final String orgId = createOpenaireId(20, rs.getString("organization"), true); + final String dsId = createOpenaireId(10, rs.getString("datasource"), true); + final List collectedFrom = + listKeyValues( + createOpenaireId(10, rs.getString("collectedfromid"), true), + rs.getString("collectedfromname")); + + final Relation r1 = new Relation(); + r1.setRelType("datasourceOrganization"); + r1.setSubRelType("provision"); + r1.setRelClass("isProvidedBy"); + r1.setSource(dsId); + r1.setTarget(orgId); + r1.setCollectedfrom(collectedFrom); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + final Relation r2 = new Relation(); + r2.setRelType("datasourceOrganization"); + r2.setSubRelType("provision"); + r2.setRelClass("provides"); + r2.setSource(orgId); + r2.setTarget(dsId); + r2.setCollectedfrom(collectedFrom); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processProjectOrganization(final ResultSet rs) { + try { + final DataInfo info = prepareDataInfo(rs); + final String orgId = createOpenaireId(20, rs.getString("resporganization"), true); + final String projectId = createOpenaireId(40, rs.getString("project"), true); + final List collectedFrom = + listKeyValues( + createOpenaireId(10, rs.getString("collectedfromid"), true), + rs.getString("collectedfromname")); + + final Relation r1 = new Relation(); + r1.setRelType("projectOrganization"); + r1.setSubRelType("participation"); + r1.setRelClass("hasParticipant"); + r1.setSource(projectId); + r1.setTarget(orgId); + r1.setCollectedfrom(collectedFrom); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + final Relation r2 = new Relation(); + r2.setRelType("projectOrganization"); + r2.setSubRelType("participation"); + r2.setRelClass("isParticipant"); + r2.setSource(orgId); + r2.setTarget(projectId); + r2.setCollectedfrom(collectedFrom); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processClaims(final ResultSet rs) { + + final DataInfo info = + dataInfo( + false, + null, + false, + false, + qualifier( + "user:claim", "user:claim", "dnet:provenanceActions", "dnet:provenanceActions"), + "0.9"); + + final List collectedFrom = + listKeyValues(createOpenaireId(10, "infrastruct_::openaire", true), "OpenAIRE"); + + try { + + if (rs.getString("source_type").equals("context")) { + final Result r; + + if (rs.getString("target_type").equals("dataset")) { + r = new Dataset(); + r.setResulttype(MigrationConstants.DATASET_RESULTTYPE_QUALIFIER); + } else if (rs.getString("target_type").equals("software")) { + r = new Software(); + r.setResulttype(MigrationConstants.SOFTWARE_RESULTTYPE_QUALIFIER); + } else if (rs.getString("target_type").equals("other")) { + r = new OtherResearchProduct(); + r.setResulttype(MigrationConstants.OTHER_RESULTTYPE_QUALIFIER); + } else { + r = new Publication(); + r.setResulttype(MigrationConstants.PUBLICATION_RESULTTYPE_QUALIFIER); + } + r.setId(createOpenaireId(50, rs.getString("target_id"), false)); + r.setLastupdatetimestamp(lastUpdateTimestamp); + r.setContext(prepareContext(rs.getString("source_id"), info)); + r.setDataInfo(info); + r.setCollectedfrom(collectedFrom); + + return Arrays.asList(r); + } else { + final String sourceId = + createOpenaireId(rs.getString("source_type"), rs.getString("source_id"), false); + final String targetId = + createOpenaireId(rs.getString("target_type"), rs.getString("target_id"), false); + + final Relation r1 = new Relation(); + final Relation r2 = new Relation(); + + if (rs.getString("source_type").equals("project")) { + r1.setCollectedfrom(collectedFrom); + r1.setRelType("resultProject"); + r1.setSubRelType("outcome"); + r1.setRelClass("produces"); + + r2.setCollectedfrom(collectedFrom); + r2.setRelType("resultProject"); + r2.setSubRelType("outcome"); + r2.setRelClass("isProducedBy"); + } else { + r1.setCollectedfrom(collectedFrom); + r1.setRelType("resultResult"); + r1.setSubRelType("relationship"); + r1.setRelClass("isRelatedTo"); + + r2.setCollectedfrom(collectedFrom); + r2.setRelType("resultResult"); + r2.setSubRelType("relationship"); + r2.setRelClass("isRelatedTo"); + } + + r1.setSource(sourceId); + r1.setTarget(targetId); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + r2.setSource(targetId); + r2.setTarget(sourceId); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } + + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + private List prepareContext(final String id, final DataInfo dataInfo) { + final Context context = new Context(); + context.setId(id); + context.setDataInfo(Arrays.asList(dataInfo)); + return Arrays.asList(context); + } + + private DataInfo prepareDataInfo(final ResultSet rs) throws SQLException { + final Boolean deletedbyinference = rs.getBoolean("deletedbyinference"); + final String inferenceprovenance = rs.getString("inferenceprovenance"); + final Boolean inferred = rs.getBoolean("inferred"); + final String trust = rs.getString("trust"); + return dataInfo( + deletedbyinference, + inferenceprovenance, + inferred, + false, + MigrationConstants.ENTITYREGISTRY_PROVENANCE_ACTION, + trust); + } + + private Qualifier prepareQualifierSplitting(final String s) { + if (StringUtils.isBlank(s)) { + return null; + } + final String[] arr = s.split("@@@"); + return arr.length == 4 ? qualifier(arr[0], arr[1], arr[2], arr[3]) : null; + } + + private List> prepareListFields(final Array array, final DataInfo info) { + try { + return array != null ? listFields(info, (String[]) array.getArray()) : new ArrayList<>(); + } catch (final SQLException e) { + throw new RuntimeException("Invalid SQL array", e); + } + } + + private StructuredProperty prepareStructProp(final String s, final DataInfo dataInfo) { + if (StringUtils.isBlank(s)) { + return null; + } + final String[] parts = s.split("###"); + if (parts.length == 2) { + final String value = parts[0]; + final String[] arr = parts[1].split("@@@"); + if (arr.length == 4) { + return structuredProperty(value, arr[0], arr[1], arr[2], arr[3], dataInfo); + } + } + return null; + } + + private List prepareListOfStructProps( + final Array array, final DataInfo dataInfo) throws SQLException { + final List res = new ArrayList<>(); + if (array != null) { + for (final String s : (String[]) array.getArray()) { + final StructuredProperty sp = prepareStructProp(s, dataInfo); + if (sp != null) { + res.add(sp); + } + } + } + + return res; + } + + private Journal prepareJournal(final String name, final String sj, final DataInfo info) { + if (StringUtils.isNotBlank(sj)) { + final String[] arr = sj.split("@@@"); + if (arr.length == 3) { + final String issn = StringUtils.isNotBlank(arr[0]) ? arr[0] : null; + final String eissn = StringUtils.isNotBlank(arr[1]) ? arr[1] : null; + ; + final String lissn = StringUtils.isNotBlank(arr[2]) ? arr[2] : null; + ; + if (issn != null || eissn != null || lissn != null) { + return journal(name, issn, eissn, eissn, null, null, null, null, null, null, null, info); + } + } + } + return null; + } + + @Override + public void close() throws IOException { + super.close(); + dbClient.close(); + } } From c43b4c89624aad23005c1d3690c5bd524189b230 Mon Sep 17 00:00:00 2001 From: "michele.artini" Date: Wed, 29 Apr 2020 12:56:58 +0200 Subject: [PATCH 3/7] formatting --- .../raw/MigrateDbEntitiesApplication.java | 977 +++++++++--------- dhp-workflows/dhp-stats-update/pom.xml | 4 +- 2 files changed, 473 insertions(+), 508 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java index f048698c8..d88325c9b 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java @@ -1,3 +1,4 @@ + package eu.dnetlib.dhp.oa.graph.raw; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.asString; @@ -10,6 +11,23 @@ import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.listKeyValues; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.qualifier; import static eu.dnetlib.dhp.oa.graph.raw.common.OafMapperUtils.structuredProperty; +import java.io.Closeable; +import java.io.IOException; +import java.sql.Array; +import java.sql.ResultSet; +import java.sql.SQLException; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Date; +import java.util.List; +import java.util.function.Consumer; +import java.util.function.Function; + +import org.apache.commons.io.IOUtils; +import org.apache.commons.lang3.StringUtils; +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; + import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.oa.graph.raw.common.AbstractMigrationApplication; import eu.dnetlib.dhp.oa.graph.raw.common.DbClient; @@ -31,512 +49,459 @@ import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.dhp.schema.oaf.Result; import eu.dnetlib.dhp.schema.oaf.Software; import eu.dnetlib.dhp.schema.oaf.StructuredProperty; -import java.io.Closeable; -import java.io.IOException; -import java.sql.Array; -import java.sql.ResultSet; -import java.sql.SQLException; -import java.util.ArrayList; -import java.util.Arrays; -import java.util.Date; -import java.util.List; -import java.util.function.Consumer; -import java.util.function.Function; -import org.apache.commons.io.IOUtils; -import org.apache.commons.lang3.StringUtils; -import org.apache.commons.logging.Log; -import org.apache.commons.logging.LogFactory; public class MigrateDbEntitiesApplication extends AbstractMigrationApplication - implements Closeable { - - private static final Log log = LogFactory.getLog(MigrateDbEntitiesApplication.class); - - private final DbClient dbClient; - - private final long lastUpdateTimestamp; - - public static void main(final String[] args) throws Exception { - final ArgumentApplicationParser parser = - new ArgumentApplicationParser( - IOUtils.toString( - MigrateDbEntitiesApplication.class.getResourceAsStream( - "/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json"))); - - parser.parseArgument(args); - - final String dbUrl = parser.get("postgresUrl"); - final String dbUser = parser.get("postgresUser"); - final String dbPassword = parser.get("postgresPassword"); - - final String hdfsPath = parser.get("hdfsPath"); - - final boolean processClaims = - parser.get("action") != null && parser.get("action").equalsIgnoreCase("claims"); - - try (final MigrateDbEntitiesApplication smdbe = - new MigrateDbEntitiesApplication(hdfsPath, dbUrl, dbUser, dbPassword)) { - if (processClaims) { - log.info("Processing claims..."); - smdbe.execute("queryClaims.sql", smdbe::processClaims); - } else { - log.info("Processing datasources..."); - smdbe.execute("queryDatasources.sql", smdbe::processDatasource); - - log.info("Processing projects..."); - smdbe.execute("queryProjects.sql", smdbe::processProject); - - log.info("Processing orgs..."); - smdbe.execute("queryOrganizations.sql", smdbe::processOrganization); - - log.info("Processing relations ds <-> orgs ..."); - smdbe.execute("queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization); - - log.info("Processing projects <-> orgs ..."); - smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization); - } - log.info("All done."); - } - } - - protected MigrateDbEntitiesApplication() { // ONLY FOR UNIT TEST - super(); - this.dbClient = null; - this.lastUpdateTimestamp = new Date().getTime(); - } - - public MigrateDbEntitiesApplication( - final String hdfsPath, final String dbUrl, final String dbUser, final String dbPassword) - throws Exception { - super(hdfsPath); - this.dbClient = new DbClient(dbUrl, dbUser, dbPassword); - this.lastUpdateTimestamp = new Date().getTime(); - } - - public void execute(final String sqlFile, final Function> producer) - throws Exception { - final String sql = - IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/sql/" + sqlFile)); - - final Consumer consumer = rs -> producer.apply(rs).forEach(oaf -> emitOaf(oaf)); - - dbClient.processResults(sql, consumer); - } - - public List processDatasource(final ResultSet rs) { - - try { - - final DataInfo info = prepareDataInfo(rs); - - final Datasource ds = new Datasource(); - - ds.setId(createOpenaireId(10, rs.getString("datasourceid"), true)); - ds.setOriginalId(Arrays.asList(rs.getString("datasourceid"))); - ds.setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - ds.setPid(new ArrayList<>()); - ds.setDateofcollection(asString(rs.getDate("dateofcollection"))); - ds.setDateoftransformation(null); // Value not returned by the SQL query - ds.setExtraInfo(new ArrayList<>()); // Values not present in the DB - ds.setOaiprovenance(null); // Values not present in the DB - ds.setDatasourcetype(prepareQualifierSplitting(rs.getString("datasourcetype"))); - ds.setOpenairecompatibility(prepareQualifierSplitting(rs.getString("openairecompatibility"))); - ds.setOfficialname(field(rs.getString("officialname"), info)); - ds.setEnglishname(field(rs.getString("englishname"), info)); - ds.setWebsiteurl(field(rs.getString("websiteurl"), info)); - ds.setLogourl(field(rs.getString("logourl"), info)); - ds.setContactemail(field(rs.getString("contactemail"), info)); - ds.setNamespaceprefix(field(rs.getString("namespaceprefix"), info)); - ds.setLatitude(field(Double.toString(rs.getDouble("latitude")), info)); - ds.setLongitude(field(Double.toString(rs.getDouble("longitude")), info)); - ds.setDateofvalidation(field(asString(rs.getDate("dateofvalidation")), info)); - ds.setDescription(field(rs.getString("description"), info)); - ds.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); - ds.setOdnumberofitems(field(Double.toString(rs.getInt("odnumberofitems")), info)); - ds.setOdnumberofitemsdate(field(asString(rs.getDate("odnumberofitemsdate")), info)); - ds.setOdpolicies(field(rs.getString("odpolicies"), info)); - ds.setOdlanguages(prepareListFields(rs.getArray("odlanguages"), info)); - ds.setOdcontenttypes(prepareListFields(rs.getArray("odcontenttypes"), info)); - ds.setAccessinfopackage(prepareListFields(rs.getArray("accessinfopackage"), info)); - ds.setReleasestartdate(field(asString(rs.getDate("releasestartdate")), info)); - ds.setReleaseenddate(field(asString(rs.getDate("releaseenddate")), info)); - ds.setMissionstatementurl(field(rs.getString("missionstatementurl"), info)); - ds.setDataprovider(field(rs.getBoolean("dataprovider"), info)); - ds.setServiceprovider(field(rs.getBoolean("serviceprovider"), info)); - ds.setDatabaseaccesstype(field(rs.getString("databaseaccesstype"), info)); - ds.setDatauploadtype(field(rs.getString("datauploadtype"), info)); - ds.setDatabaseaccessrestriction(field(rs.getString("databaseaccessrestriction"), info)); - ds.setDatauploadrestriction(field(rs.getString("datauploadrestriction"), info)); - ds.setVersioning(field(rs.getBoolean("versioning"), info)); - ds.setCitationguidelineurl(field(rs.getString("citationguidelineurl"), info)); - ds.setQualitymanagementkind(field(rs.getString("qualitymanagementkind"), info)); - ds.setPidsystems(field(rs.getString("pidsystems"), info)); - ds.setCertificates(field(rs.getString("certificates"), info)); - ds.setPolicies(new ArrayList<>()); // The sql query returns an empty array - ds.setJournal( - prepareJournal(rs.getString("officialname"), rs.getString("journal"), info)); // Journal - ds.setDataInfo(info); - ds.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(ds); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processProject(final ResultSet rs) { - try { - - final DataInfo info = prepareDataInfo(rs); - - final Project p = new Project(); - - p.setId(createOpenaireId(40, rs.getString("projectid"), true)); - p.setOriginalId(Arrays.asList(rs.getString("projectid"))); - p.setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - p.setPid(new ArrayList<>()); - p.setDateofcollection(asString(rs.getDate("dateofcollection"))); - p.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); - p.setExtraInfo(new ArrayList<>()); // Values not present in the DB - p.setOaiprovenance(null); // Values not present in the DB - p.setWebsiteurl(field(rs.getString("websiteurl"), info)); - p.setCode(field(rs.getString("code"), info)); - p.setAcronym(field(rs.getString("acronym"), info)); - p.setTitle(field(rs.getString("title"), info)); - p.setStartdate(field(asString(rs.getDate("startdate")), info)); - p.setEnddate(field(asString(rs.getDate("enddate")), info)); - p.setCallidentifier(field(rs.getString("callidentifier"), info)); - p.setKeywords(field(rs.getString("keywords"), info)); - p.setDuration(field(Integer.toString(rs.getInt("duration")), info)); - p.setEcsc39(field(Boolean.toString(rs.getBoolean("ecsc39")), info)); - p.setOamandatepublications( - field(Boolean.toString(rs.getBoolean("oamandatepublications")), info)); - p.setEcarticle29_3(field(Boolean.toString(rs.getBoolean("ecarticle29_3")), info)); - p.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); - p.setFundingtree(prepareListFields(rs.getArray("fundingtree"), info)); - p.setContracttype(prepareQualifierSplitting(rs.getString("contracttype"))); - p.setOptional1(field(rs.getString("optional1"), info)); - p.setOptional2(field(rs.getString("optional2"), info)); - p.setJsonextrainfo(field(rs.getString("jsonextrainfo"), info)); - p.setContactfullname(field(rs.getString("contactfullname"), info)); - p.setContactfax(field(rs.getString("contactfax"), info)); - p.setContactphone(field(rs.getString("contactphone"), info)); - p.setContactemail(field(rs.getString("contactemail"), info)); - p.setSummary(field(rs.getString("summary"), info)); - p.setCurrency(field(rs.getString("currency"), info)); - p.setTotalcost(new Float(rs.getDouble("totalcost"))); - p.setFundedamount(new Float(rs.getDouble("fundedamount"))); - p.setDataInfo(info); - p.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(p); - - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processOrganization(final ResultSet rs) { - - try { - - final DataInfo info = prepareDataInfo(rs); - - final Organization o = new Organization(); - - o.setId(createOpenaireId(20, rs.getString("organizationid"), true)); - o.setOriginalId(Arrays.asList(rs.getString("organizationid"))); - o.setCollectedfrom( - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname"))); - o.setPid(new ArrayList<>()); - o.setDateofcollection(asString(rs.getDate("dateofcollection"))); - o.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); - o.setExtraInfo(new ArrayList<>()); // Values not present in the DB - o.setOaiprovenance(null); // Values not present in the DB - o.setLegalshortname(field(rs.getString("legalshortname"), info)); - o.setLegalname(field(rs.getString("legalname"), info)); - o.setAlternativeNames(new ArrayList<>()); // Values not returned by the SQL query - o.setWebsiteurl(field(rs.getString("websiteurl"), info)); - o.setLogourl(field(rs.getString("logourl"), info)); - o.setEclegalbody(field(Boolean.toString(rs.getBoolean("eclegalbody")), info)); - o.setEclegalperson(field(Boolean.toString(rs.getBoolean("eclegalperson")), info)); - o.setEcnonprofit(field(Boolean.toString(rs.getBoolean("ecnonprofit")), info)); - o.setEcresearchorganization( - field(Boolean.toString(rs.getBoolean("ecresearchorganization")), info)); - o.setEchighereducation(field(Boolean.toString(rs.getBoolean("echighereducation")), info)); - o.setEcinternationalorganizationeurinterests( - field(Boolean.toString(rs.getBoolean("ecinternationalorganizationeurinterests")), info)); - o.setEcinternationalorganization( - field(Boolean.toString(rs.getBoolean("ecinternationalorganization")), info)); - o.setEcenterprise(field(Boolean.toString(rs.getBoolean("ecenterprise")), info)); - o.setEcsmevalidated(field(Boolean.toString(rs.getBoolean("ecsmevalidated")), info)); - o.setEcnutscode(field(Boolean.toString(rs.getBoolean("ecnutscode")), info)); - o.setCountry(prepareQualifierSplitting(rs.getString("country"))); - o.setDataInfo(info); - o.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(o); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processDatasourceOrganization(final ResultSet rs) { - try { - final DataInfo info = prepareDataInfo(rs); - final String orgId = createOpenaireId(20, rs.getString("organization"), true); - final String dsId = createOpenaireId(10, rs.getString("datasource"), true); - final List collectedFrom = - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname")); - - final Relation r1 = new Relation(); - r1.setRelType("datasourceOrganization"); - r1.setSubRelType("provision"); - r1.setRelClass("isProvidedBy"); - r1.setSource(dsId); - r1.setTarget(orgId); - r1.setCollectedfrom(collectedFrom); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - final Relation r2 = new Relation(); - r2.setRelType("datasourceOrganization"); - r2.setSubRelType("provision"); - r2.setRelClass("provides"); - r2.setSource(orgId); - r2.setTarget(dsId); - r2.setCollectedfrom(collectedFrom); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processProjectOrganization(final ResultSet rs) { - try { - final DataInfo info = prepareDataInfo(rs); - final String orgId = createOpenaireId(20, rs.getString("resporganization"), true); - final String projectId = createOpenaireId(40, rs.getString("project"), true); - final List collectedFrom = - listKeyValues( - createOpenaireId(10, rs.getString("collectedfromid"), true), - rs.getString("collectedfromname")); - - final Relation r1 = new Relation(); - r1.setRelType("projectOrganization"); - r1.setSubRelType("participation"); - r1.setRelClass("hasParticipant"); - r1.setSource(projectId); - r1.setTarget(orgId); - r1.setCollectedfrom(collectedFrom); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - final Relation r2 = new Relation(); - r2.setRelType("projectOrganization"); - r2.setSubRelType("participation"); - r2.setRelClass("isParticipant"); - r2.setSource(orgId); - r2.setTarget(projectId); - r2.setCollectedfrom(collectedFrom); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - public List processClaims(final ResultSet rs) { - - final DataInfo info = - dataInfo( - false, - null, - false, - false, - qualifier( - "user:claim", "user:claim", "dnet:provenanceActions", "dnet:provenanceActions"), - "0.9"); - - final List collectedFrom = - listKeyValues(createOpenaireId(10, "infrastruct_::openaire", true), "OpenAIRE"); - - try { - - if (rs.getString("source_type").equals("context")) { - final Result r; - - if (rs.getString("target_type").equals("dataset")) { - r = new Dataset(); - r.setResulttype(MigrationConstants.DATASET_RESULTTYPE_QUALIFIER); - } else if (rs.getString("target_type").equals("software")) { - r = new Software(); - r.setResulttype(MigrationConstants.SOFTWARE_RESULTTYPE_QUALIFIER); - } else if (rs.getString("target_type").equals("other")) { - r = new OtherResearchProduct(); - r.setResulttype(MigrationConstants.OTHER_RESULTTYPE_QUALIFIER); - } else { - r = new Publication(); - r.setResulttype(MigrationConstants.PUBLICATION_RESULTTYPE_QUALIFIER); - } - r.setId(createOpenaireId(50, rs.getString("target_id"), false)); - r.setLastupdatetimestamp(lastUpdateTimestamp); - r.setContext(prepareContext(rs.getString("source_id"), info)); - r.setDataInfo(info); - r.setCollectedfrom(collectedFrom); - - return Arrays.asList(r); - } else { - final String sourceId = - createOpenaireId(rs.getString("source_type"), rs.getString("source_id"), false); - final String targetId = - createOpenaireId(rs.getString("target_type"), rs.getString("target_id"), false); - - final Relation r1 = new Relation(); - final Relation r2 = new Relation(); - - if (rs.getString("source_type").equals("project")) { - r1.setCollectedfrom(collectedFrom); - r1.setRelType("resultProject"); - r1.setSubRelType("outcome"); - r1.setRelClass("produces"); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType("resultProject"); - r2.setSubRelType("outcome"); - r2.setRelClass("isProducedBy"); - } else { - r1.setCollectedfrom(collectedFrom); - r1.setRelType("resultResult"); - r1.setSubRelType("relationship"); - r1.setRelClass("isRelatedTo"); - - r2.setCollectedfrom(collectedFrom); - r2.setRelType("resultResult"); - r2.setSubRelType("relationship"); - r2.setRelClass("isRelatedTo"); - } - - r1.setSource(sourceId); - r1.setTarget(targetId); - r1.setDataInfo(info); - r1.setLastupdatetimestamp(lastUpdateTimestamp); - - r2.setSource(targetId); - r2.setTarget(sourceId); - r2.setDataInfo(info); - r2.setLastupdatetimestamp(lastUpdateTimestamp); - - return Arrays.asList(r1, r2); - } - - } catch (final Exception e) { - throw new RuntimeException(e); - } - } - - private List prepareContext(final String id, final DataInfo dataInfo) { - final Context context = new Context(); - context.setId(id); - context.setDataInfo(Arrays.asList(dataInfo)); - return Arrays.asList(context); - } - - private DataInfo prepareDataInfo(final ResultSet rs) throws SQLException { - final Boolean deletedbyinference = rs.getBoolean("deletedbyinference"); - final String inferenceprovenance = rs.getString("inferenceprovenance"); - final Boolean inferred = rs.getBoolean("inferred"); - final String trust = rs.getString("trust"); - return dataInfo( - deletedbyinference, - inferenceprovenance, - inferred, - false, - MigrationConstants.ENTITYREGISTRY_PROVENANCE_ACTION, - trust); - } - - private Qualifier prepareQualifierSplitting(final String s) { - if (StringUtils.isBlank(s)) { - return null; - } - final String[] arr = s.split("@@@"); - return arr.length == 4 ? qualifier(arr[0], arr[1], arr[2], arr[3]) : null; - } - - private List> prepareListFields(final Array array, final DataInfo info) { - try { - return array != null ? listFields(info, (String[]) array.getArray()) : new ArrayList<>(); - } catch (final SQLException e) { - throw new RuntimeException("Invalid SQL array", e); - } - } - - private StructuredProperty prepareStructProp(final String s, final DataInfo dataInfo) { - if (StringUtils.isBlank(s)) { - return null; - } - final String[] parts = s.split("###"); - if (parts.length == 2) { - final String value = parts[0]; - final String[] arr = parts[1].split("@@@"); - if (arr.length == 4) { - return structuredProperty(value, arr[0], arr[1], arr[2], arr[3], dataInfo); - } - } - return null; - } - - private List prepareListOfStructProps( - final Array array, final DataInfo dataInfo) throws SQLException { - final List res = new ArrayList<>(); - if (array != null) { - for (final String s : (String[]) array.getArray()) { - final StructuredProperty sp = prepareStructProp(s, dataInfo); - if (sp != null) { - res.add(sp); - } - } - } - - return res; - } - - private Journal prepareJournal(final String name, final String sj, final DataInfo info) { - if (StringUtils.isNotBlank(sj)) { - final String[] arr = sj.split("@@@"); - if (arr.length == 3) { - final String issn = StringUtils.isNotBlank(arr[0]) ? arr[0] : null; - final String eissn = StringUtils.isNotBlank(arr[1]) ? arr[1] : null; - ; - final String lissn = StringUtils.isNotBlank(arr[2]) ? arr[2] : null; - ; - if (issn != null || eissn != null || lissn != null) { - return journal(name, issn, eissn, eissn, null, null, null, null, null, null, null, info); - } - } - } - return null; - } - - @Override - public void close() throws IOException { - super.close(); - dbClient.close(); - } + implements Closeable { + + private static final Log log = LogFactory.getLog(MigrateDbEntitiesApplication.class); + + private final DbClient dbClient; + + private final long lastUpdateTimestamp; + + public static void main(final String[] args) throws Exception { + final ArgumentApplicationParser parser = new ArgumentApplicationParser( + IOUtils + .toString(MigrateDbEntitiesApplication.class + .getResourceAsStream("/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json"))); + + parser.parseArgument(args); + + final String dbUrl = parser.get("postgresUrl"); + final String dbUser = parser.get("postgresUser"); + final String dbPassword = parser.get("postgresPassword"); + + final String hdfsPath = parser.get("hdfsPath"); + + final boolean processClaims = parser.get("action") != null && parser.get("action").equalsIgnoreCase("claims"); + + try (final MigrateDbEntitiesApplication smdbe = new MigrateDbEntitiesApplication(hdfsPath, dbUrl, dbUser, + dbPassword)) { + if (processClaims) { + log.info("Processing claims..."); + smdbe.execute("queryClaims.sql", smdbe::processClaims); + } else { + log.info("Processing datasources..."); + smdbe.execute("queryDatasources.sql", smdbe::processDatasource); + + log.info("Processing projects..."); + smdbe.execute("queryProjects.sql", smdbe::processProject); + + log.info("Processing orgs..."); + smdbe.execute("queryOrganizations.sql", smdbe::processOrganization); + + log.info("Processing relations ds <-> orgs ..."); + smdbe.execute("queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization); + + log.info("Processing projects <-> orgs ..."); + smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization); + } + log.info("All done."); + } + } + + protected MigrateDbEntitiesApplication() { // ONLY FOR UNIT TEST + super(); + this.dbClient = null; + this.lastUpdateTimestamp = new Date().getTime(); + } + + public MigrateDbEntitiesApplication( + final String hdfsPath, final String dbUrl, final String dbUser, final String dbPassword) + throws Exception { + super(hdfsPath); + this.dbClient = new DbClient(dbUrl, dbUser, dbPassword); + this.lastUpdateTimestamp = new Date().getTime(); + } + + public void execute(final String sqlFile, final Function> producer) + throws Exception { + final String sql = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/sql/" + sqlFile)); + + final Consumer consumer = rs -> producer.apply(rs).forEach(oaf -> emitOaf(oaf)); + + dbClient.processResults(sql, consumer); + } + + public List processDatasource(final ResultSet rs) { + + try { + + final DataInfo info = prepareDataInfo(rs); + + final Datasource ds = new Datasource(); + + ds.setId(createOpenaireId(10, rs.getString("datasourceid"), true)); + ds.setOriginalId(Arrays.asList(rs.getString("datasourceid"))); + ds + .setCollectedfrom(listKeyValues(createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname"))); + ds.setPid(new ArrayList<>()); + ds.setDateofcollection(asString(rs.getDate("dateofcollection"))); + ds.setDateoftransformation(null); // Value not returned by the SQL query + ds.setExtraInfo(new ArrayList<>()); // Values not present in the DB + ds.setOaiprovenance(null); // Values not present in the DB + ds.setDatasourcetype(prepareQualifierSplitting(rs.getString("datasourcetype"))); + ds.setOpenairecompatibility(prepareQualifierSplitting(rs.getString("openairecompatibility"))); + ds.setOfficialname(field(rs.getString("officialname"), info)); + ds.setEnglishname(field(rs.getString("englishname"), info)); + ds.setWebsiteurl(field(rs.getString("websiteurl"), info)); + ds.setLogourl(field(rs.getString("logourl"), info)); + ds.setContactemail(field(rs.getString("contactemail"), info)); + ds.setNamespaceprefix(field(rs.getString("namespaceprefix"), info)); + ds.setLatitude(field(Double.toString(rs.getDouble("latitude")), info)); + ds.setLongitude(field(Double.toString(rs.getDouble("longitude")), info)); + ds.setDateofvalidation(field(asString(rs.getDate("dateofvalidation")), info)); + ds.setDescription(field(rs.getString("description"), info)); + ds.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); + ds.setOdnumberofitems(field(Double.toString(rs.getInt("odnumberofitems")), info)); + ds.setOdnumberofitemsdate(field(asString(rs.getDate("odnumberofitemsdate")), info)); + ds.setOdpolicies(field(rs.getString("odpolicies"), info)); + ds.setOdlanguages(prepareListFields(rs.getArray("odlanguages"), info)); + ds.setOdcontenttypes(prepareListFields(rs.getArray("odcontenttypes"), info)); + ds.setAccessinfopackage(prepareListFields(rs.getArray("accessinfopackage"), info)); + ds.setReleasestartdate(field(asString(rs.getDate("releasestartdate")), info)); + ds.setReleaseenddate(field(asString(rs.getDate("releaseenddate")), info)); + ds.setMissionstatementurl(field(rs.getString("missionstatementurl"), info)); + ds.setDataprovider(field(rs.getBoolean("dataprovider"), info)); + ds.setServiceprovider(field(rs.getBoolean("serviceprovider"), info)); + ds.setDatabaseaccesstype(field(rs.getString("databaseaccesstype"), info)); + ds.setDatauploadtype(field(rs.getString("datauploadtype"), info)); + ds.setDatabaseaccessrestriction(field(rs.getString("databaseaccessrestriction"), info)); + ds.setDatauploadrestriction(field(rs.getString("datauploadrestriction"), info)); + ds.setVersioning(field(rs.getBoolean("versioning"), info)); + ds.setCitationguidelineurl(field(rs.getString("citationguidelineurl"), info)); + ds.setQualitymanagementkind(field(rs.getString("qualitymanagementkind"), info)); + ds.setPidsystems(field(rs.getString("pidsystems"), info)); + ds.setCertificates(field(rs.getString("certificates"), info)); + ds.setPolicies(new ArrayList<>()); // The sql query returns an empty array + ds + .setJournal(prepareJournal(rs.getString("officialname"), rs.getString("journal"), info)); // Journal + ds.setDataInfo(info); + ds.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(ds); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processProject(final ResultSet rs) { + try { + + final DataInfo info = prepareDataInfo(rs); + + final Project p = new Project(); + + p.setId(createOpenaireId(40, rs.getString("projectid"), true)); + p.setOriginalId(Arrays.asList(rs.getString("projectid"))); + p + .setCollectedfrom(listKeyValues(createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname"))); + p.setPid(new ArrayList<>()); + p.setDateofcollection(asString(rs.getDate("dateofcollection"))); + p.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); + p.setExtraInfo(new ArrayList<>()); // Values not present in the DB + p.setOaiprovenance(null); // Values not present in the DB + p.setWebsiteurl(field(rs.getString("websiteurl"), info)); + p.setCode(field(rs.getString("code"), info)); + p.setAcronym(field(rs.getString("acronym"), info)); + p.setTitle(field(rs.getString("title"), info)); + p.setStartdate(field(asString(rs.getDate("startdate")), info)); + p.setEnddate(field(asString(rs.getDate("enddate")), info)); + p.setCallidentifier(field(rs.getString("callidentifier"), info)); + p.setKeywords(field(rs.getString("keywords"), info)); + p.setDuration(field(Integer.toString(rs.getInt("duration")), info)); + p.setEcsc39(field(Boolean.toString(rs.getBoolean("ecsc39")), info)); + p + .setOamandatepublications(field(Boolean.toString(rs.getBoolean("oamandatepublications")), info)); + p.setEcarticle29_3(field(Boolean.toString(rs.getBoolean("ecarticle29_3")), info)); + p.setSubjects(prepareListOfStructProps(rs.getArray("subjects"), info)); + p.setFundingtree(prepareListFields(rs.getArray("fundingtree"), info)); + p.setContracttype(prepareQualifierSplitting(rs.getString("contracttype"))); + p.setOptional1(field(rs.getString("optional1"), info)); + p.setOptional2(field(rs.getString("optional2"), info)); + p.setJsonextrainfo(field(rs.getString("jsonextrainfo"), info)); + p.setContactfullname(field(rs.getString("contactfullname"), info)); + p.setContactfax(field(rs.getString("contactfax"), info)); + p.setContactphone(field(rs.getString("contactphone"), info)); + p.setContactemail(field(rs.getString("contactemail"), info)); + p.setSummary(field(rs.getString("summary"), info)); + p.setCurrency(field(rs.getString("currency"), info)); + p.setTotalcost(new Float(rs.getDouble("totalcost"))); + p.setFundedamount(new Float(rs.getDouble("fundedamount"))); + p.setDataInfo(info); + p.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(p); + + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processOrganization(final ResultSet rs) { + + try { + + final DataInfo info = prepareDataInfo(rs); + + final Organization o = new Organization(); + + o.setId(createOpenaireId(20, rs.getString("organizationid"), true)); + o.setOriginalId(Arrays.asList(rs.getString("organizationid"))); + o + .setCollectedfrom(listKeyValues(createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname"))); + o.setPid(new ArrayList<>()); + o.setDateofcollection(asString(rs.getDate("dateofcollection"))); + o.setDateoftransformation(asString(rs.getDate("dateoftransformation"))); + o.setExtraInfo(new ArrayList<>()); // Values not present in the DB + o.setOaiprovenance(null); // Values not present in the DB + o.setLegalshortname(field(rs.getString("legalshortname"), info)); + o.setLegalname(field(rs.getString("legalname"), info)); + o.setAlternativeNames(new ArrayList<>()); // Values not returned by the SQL query + o.setWebsiteurl(field(rs.getString("websiteurl"), info)); + o.setLogourl(field(rs.getString("logourl"), info)); + o.setEclegalbody(field(Boolean.toString(rs.getBoolean("eclegalbody")), info)); + o.setEclegalperson(field(Boolean.toString(rs.getBoolean("eclegalperson")), info)); + o.setEcnonprofit(field(Boolean.toString(rs.getBoolean("ecnonprofit")), info)); + o + .setEcresearchorganization(field(Boolean.toString(rs.getBoolean("ecresearchorganization")), info)); + o.setEchighereducation(field(Boolean.toString(rs.getBoolean("echighereducation")), info)); + o + .setEcinternationalorganizationeurinterests(field(Boolean.toString(rs.getBoolean("ecinternationalorganizationeurinterests")), info)); + o + .setEcinternationalorganization(field(Boolean.toString(rs.getBoolean("ecinternationalorganization")), info)); + o.setEcenterprise(field(Boolean.toString(rs.getBoolean("ecenterprise")), info)); + o.setEcsmevalidated(field(Boolean.toString(rs.getBoolean("ecsmevalidated")), info)); + o.setEcnutscode(field(Boolean.toString(rs.getBoolean("ecnutscode")), info)); + o.setCountry(prepareQualifierSplitting(rs.getString("country"))); + o.setDataInfo(info); + o.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(o); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processDatasourceOrganization(final ResultSet rs) { + try { + final DataInfo info = prepareDataInfo(rs); + final String orgId = createOpenaireId(20, rs.getString("organization"), true); + final String dsId = createOpenaireId(10, rs.getString("datasource"), true); + final List collectedFrom = listKeyValues(createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname")); + + final Relation r1 = new Relation(); + r1.setRelType("datasourceOrganization"); + r1.setSubRelType("provision"); + r1.setRelClass("isProvidedBy"); + r1.setSource(dsId); + r1.setTarget(orgId); + r1.setCollectedfrom(collectedFrom); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + final Relation r2 = new Relation(); + r2.setRelType("datasourceOrganization"); + r2.setSubRelType("provision"); + r2.setRelClass("provides"); + r2.setSource(orgId); + r2.setTarget(dsId); + r2.setCollectedfrom(collectedFrom); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processProjectOrganization(final ResultSet rs) { + try { + final DataInfo info = prepareDataInfo(rs); + final String orgId = createOpenaireId(20, rs.getString("resporganization"), true); + final String projectId = createOpenaireId(40, rs.getString("project"), true); + final List collectedFrom = listKeyValues(createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname")); + + final Relation r1 = new Relation(); + r1.setRelType("projectOrganization"); + r1.setSubRelType("participation"); + r1.setRelClass("hasParticipant"); + r1.setSource(projectId); + r1.setTarget(orgId); + r1.setCollectedfrom(collectedFrom); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + final Relation r2 = new Relation(); + r2.setRelType("projectOrganization"); + r2.setSubRelType("participation"); + r2.setRelClass("isParticipant"); + r2.setSource(orgId); + r2.setTarget(projectId); + r2.setCollectedfrom(collectedFrom); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + public List processClaims(final ResultSet rs) { + + final DataInfo info = + dataInfo(false, null, false, false, qualifier("user:claim", "user:claim", "dnet:provenanceActions", "dnet:provenanceActions"), "0.9"); + + final List collectedFrom = listKeyValues(createOpenaireId(10, "infrastruct_::openaire", true), "OpenAIRE"); + + try { + + if (rs.getString("source_type").equals("context")) { + final Result r; + + if (rs.getString("target_type").equals("dataset")) { + r = new Dataset(); + r.setResulttype(MigrationConstants.DATASET_RESULTTYPE_QUALIFIER); + } else if (rs.getString("target_type").equals("software")) { + r = new Software(); + r.setResulttype(MigrationConstants.SOFTWARE_RESULTTYPE_QUALIFIER); + } else if (rs.getString("target_type").equals("other")) { + r = new OtherResearchProduct(); + r.setResulttype(MigrationConstants.OTHER_RESULTTYPE_QUALIFIER); + } else { + r = new Publication(); + r.setResulttype(MigrationConstants.PUBLICATION_RESULTTYPE_QUALIFIER); + } + r.setId(createOpenaireId(50, rs.getString("target_id"), false)); + r.setLastupdatetimestamp(lastUpdateTimestamp); + r.setContext(prepareContext(rs.getString("source_id"), info)); + r.setDataInfo(info); + r.setCollectedfrom(collectedFrom); + + return Arrays.asList(r); + } else { + final String sourceId = createOpenaireId(rs.getString("source_type"), rs.getString("source_id"), false); + final String targetId = createOpenaireId(rs.getString("target_type"), rs.getString("target_id"), false); + + final Relation r1 = new Relation(); + final Relation r2 = new Relation(); + + if (rs.getString("source_type").equals("project")) { + r1.setCollectedfrom(collectedFrom); + r1.setRelType("resultProject"); + r1.setSubRelType("outcome"); + r1.setRelClass("produces"); + + r2.setCollectedfrom(collectedFrom); + r2.setRelType("resultProject"); + r2.setSubRelType("outcome"); + r2.setRelClass("isProducedBy"); + } else { + r1.setCollectedfrom(collectedFrom); + r1.setRelType("resultResult"); + r1.setSubRelType("relationship"); + r1.setRelClass("isRelatedTo"); + + r2.setCollectedfrom(collectedFrom); + r2.setRelType("resultResult"); + r2.setSubRelType("relationship"); + r2.setRelClass("isRelatedTo"); + } + + r1.setSource(sourceId); + r1.setTarget(targetId); + r1.setDataInfo(info); + r1.setLastupdatetimestamp(lastUpdateTimestamp); + + r2.setSource(targetId); + r2.setTarget(sourceId); + r2.setDataInfo(info); + r2.setLastupdatetimestamp(lastUpdateTimestamp); + + return Arrays.asList(r1, r2); + } + + } catch (final Exception e) { + throw new RuntimeException(e); + } + } + + private List prepareContext(final String id, final DataInfo dataInfo) { + final Context context = new Context(); + context.setId(id); + context.setDataInfo(Arrays.asList(dataInfo)); + return Arrays.asList(context); + } + + private DataInfo prepareDataInfo(final ResultSet rs) throws SQLException { + final Boolean deletedbyinference = rs.getBoolean("deletedbyinference"); + final String inferenceprovenance = rs.getString("inferenceprovenance"); + final Boolean inferred = rs.getBoolean("inferred"); + final String trust = rs.getString("trust"); + return dataInfo(deletedbyinference, inferenceprovenance, inferred, false, MigrationConstants.ENTITYREGISTRY_PROVENANCE_ACTION, trust); + } + + private Qualifier prepareQualifierSplitting(final String s) { + if (StringUtils.isBlank(s)) { return null; } + final String[] arr = s.split("@@@"); + return arr.length == 4 ? qualifier(arr[0], arr[1], arr[2], arr[3]) : null; + } + + private List> prepareListFields(final Array array, final DataInfo info) { + try { + return array != null ? listFields(info, (String[]) array.getArray()) : new ArrayList<>(); + } catch (final SQLException e) { + throw new RuntimeException("Invalid SQL array", e); + } + } + + private StructuredProperty prepareStructProp(final String s, final DataInfo dataInfo) { + if (StringUtils.isBlank(s)) { return null; } + final String[] parts = s.split("###"); + if (parts.length == 2) { + final String value = parts[0]; + final String[] arr = parts[1].split("@@@"); + if (arr.length == 4) { return structuredProperty(value, arr[0], arr[1], arr[2], arr[3], dataInfo); } + } + return null; + } + + private List prepareListOfStructProps( + final Array array, + final DataInfo dataInfo) throws SQLException { + final List res = new ArrayList<>(); + if (array != null) { + for (final String s : (String[]) array.getArray()) { + final StructuredProperty sp = prepareStructProp(s, dataInfo); + if (sp != null) { + res.add(sp); + } + } + } + + return res; + } + + private Journal prepareJournal(final String name, final String sj, final DataInfo info) { + if (StringUtils.isNotBlank(sj)) { + final String[] arr = sj.split("@@@"); + if (arr.length == 3) { + final String issn = StringUtils.isNotBlank(arr[0]) ? arr[0] : null; + final String eissn = StringUtils.isNotBlank(arr[1]) ? arr[1] : null;; + final String lissn = StringUtils.isNotBlank(arr[2]) ? arr[2] : null;; + if (issn != null || eissn != null || lissn != null) { + return journal(name, issn, eissn, eissn, null, null, null, null, null, null, null, info); + } + } + } + return null; + } + + @Override + public void close() throws IOException { + super.close(); + dbClient.close(); + } } diff --git a/dhp-workflows/dhp-stats-update/pom.xml b/dhp-workflows/dhp-stats-update/pom.xml index 6a22f2f7b..4d6318c3e 100644 --- a/dhp-workflows/dhp-stats-update/pom.xml +++ b/dhp-workflows/dhp-stats-update/pom.xml @@ -3,10 +3,10 @@ dhp-workflows eu.dnetlib.dhp - 1.1.6-SNAPSHOT + 1.1.7-SNAPSHOT 4.0.0 - dhp-statistics-workflow + dhp-stats-update org.apache.spark From 0352d3b0ba9552e7b75133d1d711747ac34c91e7 Mon Sep 17 00:00:00 2001 From: miconis Date: Wed, 29 Apr 2020 13:02:34 +0200 Subject: [PATCH 4/7] entity dumps in dedup compressed --- .../dnetlib/dhp/oa/dedup/SparkDedupTest.java | 1 - .../eu/dnetlib/dhp/dedup/entities/dataset | 292 ------ .../dhp/dedup/entities/dataset/dataset.gz | Bin 0 -> 831015 bytes .../eu/dnetlib/dhp/dedup/entities/datasource | 100 --- .../dedup/entities/datasource/datasource.gz | Bin 0 -> 22005 bytes .../dnetlib/dhp/dedup/entities/organization | 753 ---------------- .../entities/organization/organization.gz | Bin 0 -> 96541 bytes .../dhp/dedup/entities/otherresearchproduct | 428 --------- .../otherresearchproduct.gz | Bin 0 -> 491823 bytes .../eu/dnetlib/dhp/dedup/entities/project | 100 --- .../dhp/dedup/entities/project/project.gz | Bin 0 -> 17949 bytes .../eu/dnetlib/dhp/dedup/entities/publication | 831 ------------------ .../dedup/entities/publication/publication.gz | Bin 0 -> 578793 bytes .../eu/dnetlib/dhp/dedup/entities/relation | 500 ----------- .../dhp/dedup/entities/relation/relation.gz | Bin 0 -> 17400 bytes .../eu/dnetlib/dhp/dedup/entities/software | 149 ---- .../dhp/dedup/entities/software/software.gz | Bin 0 -> 63793 bytes 17 files changed, 3154 deletions(-) delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/dataset create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/dataset/dataset.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/datasource create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/datasource/datasource.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/organization create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/organization/organization.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/otherresearchproduct create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/otherresearchproduct/otherresearchproduct.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/project create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/project/project.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/publication create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/publication/publication.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/relation create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/relation/relation.gz delete mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/software create mode 100644 dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/software/software.gz diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java index a0ae7bc3c..23b30cc7d 100644 --- a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java +++ b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java @@ -1,4 +1,3 @@ - package eu.dnetlib.dhp.oa.dedup; import static java.nio.file.Files.createTempDirectory; diff --git a/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/dataset b/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/dataset deleted file mode 100644 index cae43b1a7..000000000 --- a/dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/entities/dataset +++ /dev/null @@ -1,292 +0,0 @@ -{"size": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "166076 Bytes"}, "geolocation": [], "dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:datasetarchive", "classname": "sysimport:crosswalk:datasetarchive", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, 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The dataset includes 15226 records from 108 constituent datasets: \n 6 records from Observations occasionnelles Parc national des Pyr\u00e9n\u00e9es. \n 1 records from Donn\u00e9es ONF Faune-Flore-Fonge. \n 1 records from Collection zoologique Dr. Arnault (BOUM). \n 9 records from CRBPO : STOC, Baguage. \n 8 records from ORN. \n 1 records from Bird specimens of Toyota City Nature Sanctuary. \n 97 records from Bernice P. Bishop Museum. \n 3 records from Geographically tagged INSDC sequences. \n 14 records from LACM Vertebrate Collection. \n 3 records from LSUMZ Bird Tissues. \n 7 records from UWBM Ornithology Collection. \n 1 records from Field Museum of Natural History (Zoology) Bird Egg Collection. \n 2 records from UCLA Donald R. Dickey Bird and Mammal Collection. \n 4 records from UAZ Bird Collection. \n 704 records from Anillamiento SEO_Bird ringing. \n 18 records from LSUMZ Birds Collection. \n 2 records from Museo Provincial de Ciencias Naturales \u201cFlorentino Ameghino\u201d, Santa Fe, Argentina - Colecci\u00f3n Aves (MFA-ZV-Or). \n 5 records from Collection Ornithologie - SNSD. \n 2 records from Ministerio de Medio Ambiente, y Medio Rural y Marino. Direcci\u00f3n General de Medio Natural y Pol\u00edtica Forestal. Inventario Nacional de Biodiversidad 2007, Aves Reproductoras. \n 1 records from Aves Collection of Institute of Systematics and Evolution of Animals. \n 34 records from Collection Aves (bird skeletons) SMF. \n 4 records from Literature based species occurrence data of birds of North-East India. \n 1 records from DMNH Birds. \n 1 records from NYSM Birds. \n 3 records from Inventario Espa\u00f1ol de Especies Terrestres (MAGRAMA). \n 8 records from RBINS DaRWIN. \n 1 records from Bird specimens of Kawasaki Municipal Science Museum. \n 171 records from Natural History Museum (London) Collection Specimens. \n 5 records from The avian collection at the Natural History Museum, Oslo, Norway. \n 1 records from HSU Wildlife Birds. \n 90 records from Liste des esp\u00e8ces de la faune sauvage (Amphibiens, Mammif\u00e8res hors Chiropt\u00e8res, Oiseaux, Orthopt\u00e8res, Reptiles & Rhopaloc\u00e8res) observ\u00e9es selon le maillage communal fran\u00e7ais de la base de donn\u00e9es naturalistes Faune-France .. \n 12 records from Ornitho.eus. \n 15 records from CAS Ornithology (ORN). \n 3 records from Biodiversity Research and Teaching Collections - TCWC Vertebrates. \n 1 records from Aves MZS. \n 23 records from Observation.org, Nature data from the Netherlands. \n 23 records from Bird specimens of the Yamashina Institute for Ornithology. \n 2 records from Bird specimens of Saitama Museum of Natural History. \n 9 records from EPA_Var_2017_12_18. \n 49 records from The birds collection (ZO) of the Mus\u00e9um national d'Histoire Naturelle (MNHN - Paris). \n 10708 records from EOD - eBird Observation Dataset. \n 56 records from Museum of Comparative Zoology, Harvard University. \n 1 records from DMNS Bird Collection (Arctos). \n 13 records from Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium. \n 4 records from Collection ornithologique A. Ma\u00ebs. \n 14 records from Vertebrates of the Gothenburg Natural History Museum (GNM). \n 2 records from Zoological specimens of Gifu Prefectural Museum. \n 2 records from Bird Collection of Helsingborg Museums. \n 6 records from MVZ Egg and Nest Collection (Arctos). \n 2 records from MMNH Museum Bird Collection. \n 21 records from Naturalis Biodiversity Center (NL) - Aves. \n 12 records from naturgucker. \n 12 records from Animal Sound Archive. \n 17 records from KUBI Ornithology Collection. \n 4 records from Ibaraki Nature Museum, Birds collection. \n 79 records from iNaturalist Research-grade Observations. \n 18 records from SBMNH Vertebrate Zoology. \n 1 records from Natural History Museum Rotterdam (NL) - Chordata collection. \n 14 records from Collection Aves (spirit preserved) SMF. \n 21 records from CM Birds Collection. \n 3 records from Bird Specimens in the Museum of Nature and Human Activities, Hyogo, Japan. \n 4 records from Provincial Museum of Alberta, Edmonton, AB, Canada. Birds (Aves). \n 22 records from WFVZ Bird Collections. \n 16 records from Great Backyard Bird Count. \n 1 records from Donn\u00e9es du CEN Picardie concernant la Faune, Flore, Fonge. \n 12 records from Collection Aves (bird skins) SMF. \n 21 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification probable. \n 9 records from Bird collection of National Museum of Nature and Science. \n 1 records from Birds collection of Abiko City Museum of Birds. \n 12 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification possible. \n 3 records from PSM Vertebrates Collection. \n 2 records from MVZ Bird Observations (Arctos). \n 1 records from Donn\u00e9es de J\u00e9r\u00f4me FOUERT pour la r\u00e9alisation des DOCOB des zones N2000 g\u00e9r\u00e9es par le PNRLG (hors Rhopaloc\u00e8res). \n 148 records from VerteCAT: Banco de datos de vertebrados de Catalu\u00f1a. \n 144 records from NMNH Extant Specimen Records. \n 46 records from Macaulay Library Audio and Video Collection. \n 153 records from AMNH Bird Collection. \n 2 records from vertebrate specimens of Kumamoto City Museum. \n 6 records from MVZ Bird Collection (Arctos). \n 17 records from Vertebrate Zoology Division - Ornithology, Yale Peabody Museum. \n 194 records from Monitoring Sites 1000 Satoyama Birds. \n 1 records from Mus\u00e9e Vert ornithology collection. \n 1 records from Bird specimens of Miyazaki Prefecture Museum of Nature and History. \n 2 records from Palaeobiology - Vertebrate Comparative Osteology Collection - Royal Ontario Museum. \n 20 records from Donn\u00e9es acquises dans le cadre de l'activit\u00e9 du bureau d'\u00e9tude BIOTOPE (1994 - 2013). \n 164 records from Field Museum of Natural History (Zoology) Bird Collection. \n 11 records from Cowan Tetrapod Collection - Birds. \n 28 records from Ornithology Collection Passeriformes - Royal Ontario Museum. \n 420 records from Acoustic monitoring data of avian species inside and outside the evacuation zone of the Fukushima Daiichi power plant accident. \n 5 records from Bird specimen database of Kanagawa Prefectural Museum of Natural History. \n 1 records from MSU Mammalogy, Ornithology and Vertebrate Paleontology Collections. \n 2 records from DREAL_PACA_-_N2000_-_Conseil_G\u00e9n\u00e9ral_06_2017_12_18. \n 26 records from Oiseaux de France m\u00e9tropolitaine 2009-2013 en p\u00e9riode hivernale. \n 5 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Cord. \n 2 records from Donn\u00e9es naturalistes de Patrick HAFFNER. \n 1049 records from Aranzadi Ringing Scheme (bird ring-recovery data). \n 3 records from Vogeltrekstation (NL) - Historical Data on Timing of Ringing of Nestling Birds. \n 4 records from Donn\u00e9es issues de Clicnat (Base de donn\u00e9es naturaliste picarde g\u00e9r\u00e9e par Picardie Nature). \n 5 records from Bird Collection of Museum and Institute of Zoology PAS. \n 99 records from University of Michigan Museum of Zoology, Division of Birds. \n 5 records from SDNHM Birds Collection. \n 1 records from Donn\u00e9es de Luc BARBARO. \n 1 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Tissue. \n 130 records from Data collected on scitizen science web portal www.ornitho.cat. \n 2 records from Lund Museum of Zoology (MZLU). \n 49 records from Mesures compensatoires A65 (CDC Biodivsersit\u00e9). \n 20 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification certaine. \n 1 records from Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Ornithology National Collection (MACNOr). 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We have satellite images of disaster stricken areas such as refugee camps taken\u00a0at different times. We want to analyse or compare these images to see the progress of disaster relief operations or to measure level of severity in that particular area over a period of time. For example, if we have satellite images of refugee camps, we want to count shelters to see\u00a0if the number is\u00a0increasing or decreasing. In these days, UNOSAT has\u00a0staff dedicated to analyse and then classify objects in these images manually. This is an arduous task, takes a lot of time, inhibiting quick reaction from relief organizations.

\n\n

Conventionally, objects in images are identified by using color or shape features. But in our case, all objects such as shelters are arbitrary in shapes and color. Sometimes the background surface has the same color as the shelter. So, it is not possible to employ any conventional color or shape based image segmentation method.

\n\n

The solution we are proposing is \"Automated Feature Classification using Machine Learning\". My team at CERN openlab with UNOSAT are evaluating different machine learning based feature extraction algorithms.\u00a0Currently, we have evaluated Facebook's\u00a0DeepMask\u00a0and\u00a0SharpMask\u00a0object proposal techniques.

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"name": "Ricardo", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newcomer", "name": "Mitchel", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Newcomer, Mitchel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Nguyen", "name": "Duong Hai", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nguyen, Duong Hai"}, {"surname": "", "name": "", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nguyen Thi Hong, Van"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikiforou", "name": "Nikiforos", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nikiforou, Nikiforos"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolics", "name": "Katalin", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nikolics, Katalin"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Norberg", "name": "Scarlet", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Norberg, Scarlet"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1862, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1863, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1864, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakes", "name": "Louise Beth", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Oakes, Louise Beth"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Okamura", "name": "Wataru", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Okamura, Wataru"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Oropeza Barrera", "name": "Cristina", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Oropeza Barrera, Cristina"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Ottersbach", "name": "John", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ottersbach, John"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ouellette", "name": "Eric", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Ouellette, Eric"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Ovcharova", "name": "Ana", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Ovcharova, Ana"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Simon", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Owen, Simon"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganis", "name": "Efstathios", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Paganis, Efstathios"}, {"surname": "Pahl", "name": "Christoph", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pahl, Christoph"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Pais", "name": "Preema", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pais, Preema"}, {"surname": "Pajchel", "name": "Katarina", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Pajchel, Katarina"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Paleari", "name": "Chiara", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paleari, Chiara"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Palma", "name": "Alberto", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Palma, Alberto"}, {"surname": "Palmer", "name": "Jody", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Palmer, Jody"}, {"surname": "Pan", "name": "Yibin", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Pan, Yibin"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panikashvili", "name": "Natalia", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Panikashvili, Natalia"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Papadelis", "name": "Aras", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Papadelis, Aras"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Park", "name": "Woochun", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Park, Woochun"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pashapour", "name": "Shabnaz", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Pashapour, Shabnaz"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Passeri", "name": "Antonio", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Passeri, Antonio"}, {"surname": "Pastore", "name": "Fernanda", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Pastore, Fernanda"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pa\u0301sztor", "name": "Gabriella", "pid": [], "rank": 1953, "affiliation": [], "fullname": "P\u00e1sztor, Gabriella"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Patel", "name": "Nikhul", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Patel, Nikhul"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Patricelli", "name": "Sergio", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Patricelli, Sergio"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearce", "name": "James", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Pearce, James"}, {"surname": "Pedersen", "name": "Maiken", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Pedersen, Maiken"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedraza Morales", "name": "Maria Isabel", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Pedraza Morales, Maria Isabel"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Pelikan", "name": "Daniel", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Pelikan, Daniel"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penning", "name": "Bjoern", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Penning, Bjoern"}, {"surname": "Penson", "name": "Alexander", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Penson, Alexander"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Perez Cavalcanti", "name": "Tiago", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Perez Cavalcanti, Tiago"}, {"surname": "Perez Codina", "name": "Estel", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Perez Codina, Estel"}, {"surname": "Pe\u0301rez Garci\u0301a-Estan\u0303", "name": "Mari\u0301a Teresa", "pid": [], "rank": 1971, "affiliation": [], "fullname": "P\u00e9rez Garc\u00eda-Esta\u00f1, Mar\u00eda Teresa"}, {"surname": "Perez Reale", "name": "Valeria", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Perez Reale, Valeria"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrino", "name": "Roberto", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Perrino, Roberto"}, {"surname": "Perrodo", "name": "Pascal", "pid": [], "rank": 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A measurement of the cross section for the production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The results are based on an integrated luminosity of 4.6 fb-1 collected with the ATLAS detector at the LHC. The cross section is measured as a function of photon pseudorapidity and transverse energy in the kinematic range between 100 GeV and 1000 GeV and in the regions of pseudorapidity less than 1.37 and between 1.52 and 2.37. The results are compared to leading-order parton-shower Monte Carlo models and next-to-leading-order perturbative QCD calculations. Next-to-leading-order perturbative QCD calculations agree well with the measured cross sections as a function of transverse energy and pseudorapidity\n\nUPDATE (27 FEB 2015): The detailed information on bin-to-bin correlated and uncorrelated uncertainties has been made available as additional text file under the link below."}], "format": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2015-01-01"}, "coverage": [], "device": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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Present study looked at :
a) Overlap in altitude between the two species.
b) Which of the temperature and precipitation variables best predict marmot occurrence using MaxEnt software.
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The dataset includes 28566 records from 68 constituent datasets: \n 10 records from Donn\u00e9es naturalistes de Benoit MARTHA. \n 286 records from iNaturalist Research-grade Observations. \n 28 records from Observations occasionnelles Parc national des Pyr\u00e9n\u00e9es. \n 4 records from Donn\u00e9es ONF Faune-Flore-Fonge. \n 1 records from Donn\u00e9es naturalistes de Delphine MONTAGNE. \n 2 records from Donn\u00e9es du CEN Picardie concernant la Faune, Flore, Fonge. \n 12 records from Parc_Naturel_R\u00e9gional_des_Pr\u00e9alpes_d'Azur_2017_12_18. \n 1 records from SSNATV_2017_12_18. \n 6 records from Donn\u00e9es naturalistes de Xavier JAPIOT. \n 6 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Art. \n 1 records from Donn\u00e9es naturalistes de Damien AVRIL. \n 2 records from Donn\u00e9es naturalistes de Laurent PONCET. \n 33 records from SIRFF - FNE Centre-Val de Loire - Donn\u00e9es 2016. \n 107 records from Donn\u00e9es photographiques valid\u00e9es de la galerie du forum \"Le Monde des Insectes\". \n 4 records from AGIR_Ecologique_2017_12_18. \n 14194 records from Suivi de l'expansion du Frelon asiatique (Vespa velutina) : donn\u00e9es Frelon. \n 31 records from ZFMK Hymenoptera collection. \n 1 records from Hymenoptera collection of National Museum of Nature and Science. \n 11637 records from Suivi de l'expansion du Frelon asiatique (Vespa velutina) : donn\u00e9es Frelon. \n 11 records from NMNH Extant Specimen Records. \n 1 records from Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection. \n 1 records from Donn\u00e9es naturalistes de Monsieur CSUTOROS Antoine. \n 1 records from Parc_Naturel_R\u00e9gional_du_Verdon_2017_12_18. \n 2 records from Parc_National_des_Calanques_2017_12_18. \n 2 records from DREAL Auvergne - Insectes - 2015. \n 5 records from Donn\u00e9es naturalistes de Lo\u00efc SALAUN. \n 2 records from The vespid fauna of Pakistan. \n 1 records from Donn\u00e9es naturalistes de Philippe GOURDAIN. \n 193 records from Suivi Photographique des Insectes Pollinisateurs (SPIPOLL). \n 4 records from RNF - Donn\u00e9es du CEN Centre. \n 1 records from Natural History Museum (London) Collection Specimens. \n 1 records from Donn\u00e9es RNN LPO. \n 5 records from Naturalis Biodiversity Center (NL) - Hymenoptera. \n 1298 records from Taiwan Forestry Research Institute. \n 2 records from Amis_des_Marais_du_Vigueirat_2017_12_18. \n 1 records from Donn\u00e9es acquises dans le cadre de l'activit\u00e9 du bureau d'\u00e9tude BIOTOPE (1994 - 2013). \n 2 records from Donn\u00e9es naturalistes de Willy CHENEAU. \n 1 records from Donn\u00e9es naturalistes de Stephan DUBEZ. \n 10 records from Naturalis Biodiversity Center (NL) - Museum collection digitized at storage unit level. \n 2 records from Natural History Museum Rotterdam (NL) - Insecta collection. \n 5 records from Donn\u00e9es naturalistes d'Adrien CHOREIN. \n 72 records from Inventaire hivernal des nids de frelon asiatique. \n 14 records from Natusfera Citizen Science Observation Dataset. \n 25 records from Observation.org, Nature data from the Netherlands. \n 35 records from SIRFF - FNE Centre-Val de Loire - Donn\u00e9es 2015. \n 5 records from Tour_du_Valat_2017_12_18. \n 13 records from Donn\u00e9es issues de Clicnat (Base de donn\u00e9es naturaliste picarde g\u00e9r\u00e9e par Picardie Nature). \n 168 records from The Hymenoptera collection (EY) of the Mus\u00e9um national d'Histoire naturelle (MNHN - Paris). \n 4 records from Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data. \n 1 records from Donn\u00e9es naturalistes de St\u00e9phane VASSEL. \n 2 records from Groupe_Lamo_Naturae_2017_12_18. \n 19 records from Parc_National_de_Port_Cros_2017_12_18. \n 15 records from Biologiezentrum Linz. \n 1 records from Donn\u00e9es naturalistes de Pierre FRAPA. \n 36 records from Observations naturalistes et collection entomologique de Julien TOUROULT. \n 1 records from Donn\u00e9es naturalistes de Benoit FONTAINE. \n 12 records from Donn\u00e9es naturalistes de CERCOPE (Jean-Louis PRATZ). \n 1 records from Inventaire et suivis d'esp\u00e8ces dans le Parc national des C\u00e9vennes. \n 1 records from Donn\u00e9es naturalistes d'Olivier ESCUDER. \n 103 records from Donn\u00e9es naturalistes de Pierre HUGUENY. \n 1 records from Mesures compensatoires A65 (CDC Biodivsersit\u00e9). \n 1 records from Donn\u00e9es d'occurrences Esp\u00e8ces issues de l'inventaire des ZNIEFF. \n 8 records from naturgucker. \n 1 records from Natural History Museum, University of Tartu. \n 101 records from RNF - Donn\u00e9es de l'association Vivarmor Nature. \n 3 records from Donn\u00e9es RNN Marais de M\u00fcllembourg. \n 2 records from Donn\u00e9es naturalistes de Marie-France LECCIA. \n 4 records from Parc_National_du_Mercantour_2017_12_18. 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"Snezana", "pid": [], "rank": 1818, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1819, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Timothy Knight", "pid": [], "rank": 1820, "affiliation": [], "fullname": "Nelson, Timothy Knight"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1821, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1822, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nepomuceno", "name": "Andre Asevedo", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Nepomuceno, Andre Asevedo"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neumann", "name": "Manuel", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Neumann, Manuel"}, {"surname": "Neusiedl", "name": "Andrea", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Neusiedl, Andrea"}, {"surname": "Neves", "name": "Ricardo", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newcomer", "name": "Mitchel", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Newcomer, Mitchel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Nguyen", "name": "Duong Hai", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nguyen, Duong Hai"}, {"surname": "", "name": "", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nguyen Thi Hong, Van"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikiforou", "name": "Nikiforos", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nikiforou, Nikiforos"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolics", "name": "Katalin", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nikolics, Katalin"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Norberg", "name": "Scarlet", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Norberg, Scarlet"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1862, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1863, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1864, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakes", "name": "Louise Beth", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Oakes, Louise Beth"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Okamura", "name": "Wataru", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Okamura, Wataru"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Oropeza Barrera", "name": "Cristina", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Oropeza Barrera, Cristina"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Ottersbach", "name": "John", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ottersbach, John"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ouellette", "name": "Eric", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Ouellette, Eric"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Ovcharova", "name": "Ana", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Ovcharova, Ana"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Simon", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Owen, Simon"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganis", "name": "Efstathios", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Paganis, Efstathios"}, {"surname": "Pahl", "name": "Christoph", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pahl, Christoph"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Pais", "name": "Preema", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pais, Preema"}, {"surname": "Pajchel", "name": "Katarina", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Pajchel, Katarina"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Paleari", "name": "Chiara", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paleari, Chiara"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Palma", "name": "Alberto", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Palma, Alberto"}, {"surname": "Palmer", "name": "Jody", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Palmer, Jody"}, {"surname": "Pan", "name": "Yibin", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Pan, Yibin"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panikashvili", "name": "Natalia", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Panikashvili, Natalia"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Papadelis", "name": "Aras", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Papadelis, Aras"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Park", "name": "Woochun", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Park, Woochun"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pashapour", "name": "Shabnaz", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Pashapour, Shabnaz"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Passeri", "name": "Antonio", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Passeri, Antonio"}, {"surname": "Pastore", "name": "Fernanda", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Pastore, Fernanda"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pa\u0301sztor", "name": "Gabriella", "pid": [], "rank": 1953, "affiliation": [], "fullname": "P\u00e1sztor, Gabriella"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Patel", "name": "Nikhul", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Patel, Nikhul"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Patricelli", "name": "Sergio", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Patricelli, Sergio"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearce", "name": "James", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Pearce, James"}, {"surname": "Pedersen", "name": "Maiken", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Pedersen, Maiken"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedraza Morales", "name": "Maria Isabel", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Pedraza Morales, Maria Isabel"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Pelikan", "name": "Daniel", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Pelikan, Daniel"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penning", "name": "Bjoern", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Penning, Bjoern"}, {"surname": "Penson", "name": "Alexander", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Penson, Alexander"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Perez Cavalcanti", "name": "Tiago", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Perez Cavalcanti, Tiago"}, {"surname": "Perez Codina", "name": "Estel", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Perez Codina, Estel"}, {"surname": "Pe\u0301rez Garci\u0301a-Estan\u0303", "name": "Mari\u0301a Teresa", "pid": [], "rank": 1971, "affiliation": [], "fullname": "P\u00e9rez Garc\u00eda-Esta\u00f1, Mar\u00eda Teresa"}, {"surname": "Perez Reale", "name": "Valeria", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Perez Reale, Valeria"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrino", "name": "Roberto", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Perrino, Roberto"}, {"surname": "Perrodo", "name": "Pascal", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Perrodo, Pascal"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Jorgen", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Petersen, Jorgen"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Petersen, 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"Anna", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Phan, Anna"}, {"surname": "Phillips", "name": "Peter William", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Piccinini", "name": "Maurizio", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Piccinini, Maurizio"}, {"surname": "Piec", "name": "Sebastian Marcin", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Piec, Sebastian Marcin"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pignotti", "name": "David", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Pignotti, David"}, {"surname": "Pilcher", "name": "James", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Pilcher, James"}, {"surname": "Pilkington", "name": "Andrew", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Pilkington, Andrew"}, {"surname": "Pina", "name": "Joa\u0303o Antonio", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Pina, Jo\u00e3o Antonio"}, {"surname": "Pinamonti", "name": "Michele", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Pinamonti, Michele"}, {"surname": "Pinder", "name": "Alex", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Pinder, Alex"}, {"surname": "Pinfold", "name": "James", "pid": [], "rank": 2006, "affiliation": [], "fullname": "Pinfold, James"}, {"surname": "Pingel", "name": "Almut", "pid": [], "rank": 2007, "affiliation": [], 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A measurement of the cross section for the production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The results are based on an integrated luminosity of 4.6 fb-1 collected with the ATLAS detector at the LHC. The cross section is measured as a function of photon pseudorapidity and transverse energy in the kinematic range between 100 GeV and 1000 GeV and in the regions of pseudorapidity less than 1.37 and between 1.52 and 2.37. The results are compared to leading-order parton-shower Monte Carlo models and next-to-leading-order perturbative QCD calculations. 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The dataset includes 28566 records from 68 constituent datasets: 10 records from Donn\u00e9es naturalistes de Benoit MARTHA. 286 records from iNaturalist Research-grade Observations. 28 records from Observations occasionnelles Parc national des Pyr\u00e9n\u00e9es. 4 records from Donn\u00e9es ONF Faune-Flore-Fonge. 1 records from Donn\u00e9es naturalistes de Delphine MONTAGNE. 2 records from Donn\u00e9es du CEN Picardie concernant la Faune, Flore, Fonge. 12 records from Parc_Naturel_R\u00e9gional_des_Pr\u00e9alpes_d'Azur_2017_12_18. 1 records from SSNATV_2017_12_18. 6 records from Donn\u00e9es naturalistes de Xavier JAPIOT. 6 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Art. 1 records from Donn\u00e9es naturalistes de Damien AVRIL. 2 records from Donn\u00e9es naturalistes de Laurent PONCET. 33 records from SIRFF - FNE Centre-Val de Loire - Donn\u00e9es 2016. 107 records from Donn\u00e9es photographiques valid\u00e9es de la galerie du forum \"Le Monde des Insectes\". 4 records from AGIR_Ecologique_2017_12_18. 14194 records from Suivi de l'expansion du Frelon asiatique (Vespa velutina) : donn\u00e9es Frelon. 31 records from ZFMK Hymenoptera collection. 1 records from Hymenoptera collection of National Museum of Nature and Science. 11637 records from Suivi de l'expansion du Frelon asiatique (Vespa velutina) : donn\u00e9es Frelon. 11 records from NMNH Extant Specimen Records. 1 records from Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection. 1 records from Donn\u00e9es naturalistes de Monsieur CSUTOROS Antoine. 1 records from Parc_Naturel_R\u00e9gional_du_Verdon_2017_12_18. 2 records from Parc_National_des_Calanques_2017_12_18. 2 records from DREAL Auvergne - Insectes - 2015. 5 records from Donn\u00e9es naturalistes de Lo\u00efc SALAUN. 2 records from The vespid fauna of Pakistan. 1 records from Donn\u00e9es naturalistes de Philippe GOURDAIN. 193 records from Suivi Photographique des Insectes Pollinisateurs (SPIPOLL). 4 records from RNF - Donn\u00e9es du CEN Centre. 1 records from Natural History Museum (London) Collection Specimens. 1 records from Donn\u00e9es RNN LPO. 5 records from Naturalis Biodiversity Center (NL) - Hymenoptera. 1298 records from Taiwan Forestry Research Institute. 2 records from Amis_des_Marais_du_Vigueirat_2017_12_18. 1 records from Donn\u00e9es acquises dans le cadre de l'activit\u00e9 du bureau d'\u00e9tude BIOTOPE (1994 - 2013). 2 records from Donn\u00e9es naturalistes de Willy CHENEAU. 1 records from Donn\u00e9es naturalistes de Stephan DUBEZ. 10 records from Naturalis Biodiversity Center (NL) - Museum collection digitized at storage unit level. 2 records from Natural History Museum Rotterdam (NL) - Insecta collection. 5 records from Donn\u00e9es naturalistes d'Adrien CHOREIN. 72 records from Inventaire hivernal des nids de frelon asiatique. 14 records from Natusfera Citizen Science Observation Dataset. 25 records from Observation.org, Nature data from the Netherlands. 35 records from SIRFF - FNE Centre-Val de Loire - Donn\u00e9es 2015. 5 records from Tour_du_Valat_2017_12_18. 13 records from Donn\u00e9es issues de Clicnat (Base de donn\u00e9es naturaliste picarde g\u00e9r\u00e9e par Picardie Nature). 168 records from The Hymenoptera collection (EY) of the Mus\u00e9um national d'Histoire naturelle (MNHN - Paris). 4 records from Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data. 1 records from Donn\u00e9es naturalistes de St\u00e9phane VASSEL. 2 records from Groupe_Lamo_Naturae_2017_12_18. 19 records from Parc_National_de_Port_Cros_2017_12_18. 15 records from Biologiezentrum Linz. 1 records from Donn\u00e9es naturalistes de Pierre FRAPA. 36 records from Observations naturalistes et collection entomologique de Julien TOUROULT. 1 records from Donn\u00e9es naturalistes de Benoit FONTAINE. 12 records from Donn\u00e9es naturalistes de CERCOPE (Jean-Louis PRATZ). 1 records from Inventaire et suivis d'esp\u00e8ces dans le Parc national des C\u00e9vennes. 1 records from Donn\u00e9es naturalistes d'Olivier ESCUDER. 103 records from Donn\u00e9es naturalistes de Pierre HUGUENY. 1 records from Mesures compensatoires A65 (CDC Biodivsersit\u00e9). 1 records from Donn\u00e9es d'occurrences Esp\u00e8ces issues de l'inventaire des ZNIEFF. 8 records from naturgucker. 1 records from Natural History Museum, University of Tartu. 101 records from RNF - Donn\u00e9es de l'association Vivarmor Nature. 3 records from Donn\u00e9es RNN Marais de M\u00fcllembourg. 2 records from Donn\u00e9es naturalistes de Marie-France LECCIA. 4 records from Parc_National_du_Mercantour_2017_12_18. 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The dataset includes 15226 records from 108 constituent datasets: \n 6 records from Observations occasionnelles Parc national des Pyr\u00e9n\u00e9es. \n 1 records from Donn\u00e9es ONF Faune-Flore-Fonge. \n 1 records from Collection zoologique Dr. Arnault (BOUM). \n 9 records from CRBPO : STOC, Baguage. \n 8 records from ORN. \n 1 records from Bird specimens of Toyota City Nature Sanctuary. \n 97 records from Bernice P. Bishop Museum. \n 3 records from Geographically tagged INSDC sequences. \n 14 records from LACM Vertebrate Collection. \n 3 records from LSUMZ Bird Tissues. \n 7 records from UWBM Ornithology Collection. \n 1 records from Field Museum of Natural History (Zoology) Bird Egg Collection. \n 2 records from UCLA Donald R. Dickey Bird and Mammal Collection. \n 4 records from UAZ Bird Collection. \n 704 records from Anillamiento SEO_Bird ringing. \n 18 records from LSUMZ Birds Collection. \n 2 records from Museo Provincial de Ciencias Naturales \u201cFlorentino Ameghino\u201d, Santa Fe, Argentina - Colecci\u00f3n Aves (MFA-ZV-Or). \n 5 records from Collection Ornithologie - SNSD. \n 2 records from Ministerio de Medio Ambiente, y Medio Rural y Marino. Direcci\u00f3n General de Medio Natural y Pol\u00edtica Forestal. Inventario Nacional de Biodiversidad 2007, Aves Reproductoras. \n 1 records from Aves Collection of Institute of Systematics and Evolution of Animals. \n 34 records from Collection Aves (bird skeletons) SMF. \n 4 records from Literature based species occurrence data of birds of North-East India. \n 1 records from DMNH Birds. \n 1 records from NYSM Birds. \n 3 records from Inventario Espa\u00f1ol de Especies Terrestres (MAGRAMA). \n 8 records from RBINS DaRWIN. \n 1 records from Bird specimens of Kawasaki Municipal Science Museum. \n 171 records from Natural History Museum (London) Collection Specimens. \n 5 records from The avian collection at the Natural History Museum, Oslo, Norway. \n 1 records from HSU Wildlife Birds. \n 90 records from Liste des esp\u00e8ces de la faune sauvage (Amphibiens, Mammif\u00e8res hors Chiropt\u00e8res, Oiseaux, Orthopt\u00e8res, Reptiles & Rhopaloc\u00e8res) observ\u00e9es selon le maillage communal fran\u00e7ais de la base de donn\u00e9es naturalistes Faune-France .. \n 12 records from Ornitho.eus. \n 15 records from CAS Ornithology (ORN). \n 3 records from Biodiversity Research and Teaching Collections - TCWC Vertebrates. \n 1 records from Aves MZS. \n 23 records from Observation.org, Nature data from the Netherlands. \n 23 records from Bird specimens of the Yamashina Institute for Ornithology. \n 2 records from Bird specimens of Saitama Museum of Natural History. \n 9 records from EPA_Var_2017_12_18. \n 49 records from The birds collection (ZO) of the Mus\u00e9um national d'Histoire Naturelle (MNHN - Paris). \n 10708 records from EOD - eBird Observation Dataset. \n 56 records from Museum of Comparative Zoology, Harvard University. \n 1 records from DMNS Bird Collection (Arctos). \n 13 records from Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium. \n 4 records from Collection ornithologique A. Ma\u00ebs. \n 14 records from Vertebrates of the Gothenburg Natural History Museum (GNM). \n 2 records from Zoological specimens of Gifu Prefectural Museum. \n 2 records from Bird Collection of Helsingborg Museums. \n 6 records from MVZ Egg and Nest Collection (Arctos). \n 2 records from MMNH Museum Bird Collection. \n 21 records from Naturalis Biodiversity Center (NL) - Aves. \n 12 records from naturgucker. \n 12 records from Animal Sound Archive. \n 17 records from KUBI Ornithology Collection. \n 4 records from Ibaraki Nature Museum, Birds collection. \n 79 records from iNaturalist Research-grade Observations. \n 18 records from SBMNH Vertebrate Zoology. \n 1 records from Natural History Museum Rotterdam (NL) - Chordata collection. \n 14 records from Collection Aves (spirit preserved) SMF. \n 21 records from CM Birds Collection. \n 3 records from Bird Specimens in the Museum of Nature and Human Activities, Hyogo, Japan. \n 4 records from Provincial Museum of Alberta, Edmonton, AB, Canada. Birds (Aves). \n 22 records from WFVZ Bird Collections. \n 16 records from Great Backyard Bird Count. \n 1 records from Donn\u00e9es du CEN Picardie concernant la Faune, Flore, Fonge. \n 12 records from Collection Aves (bird skins) SMF. \n 21 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification probable. \n 9 records from Bird collection of National Museum of Nature and Science. \n 1 records from Birds collection of Abiko City Museum of Birds. \n 12 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification possible. \n 3 records from PSM Vertebrates Collection. \n 2 records from MVZ Bird Observations (Arctos). \n 1 records from Donn\u00e9es de J\u00e9r\u00f4me FOUERT pour la r\u00e9alisation des DOCOB des zones N2000 g\u00e9r\u00e9es par le PNRLG (hors Rhopaloc\u00e8res). \n 148 records from VerteCAT: Banco de datos de vertebrados de Catalu\u00f1a. \n 144 records from NMNH Extant Specimen Records. \n 46 records from Macaulay Library Audio and Video Collection. \n 153 records from AMNH Bird Collection. \n 2 records from vertebrate specimens of Kumamoto City Museum. \n 6 records from MVZ Bird Collection (Arctos). \n 17 records from Vertebrate Zoology Division - Ornithology, Yale Peabody Museum. \n 194 records from Monitoring Sites 1000 Satoyama Birds. \n 1 records from Mus\u00e9e Vert ornithology collection. \n 1 records from Bird specimens of Miyazaki Prefecture Museum of Nature and History. \n 2 records from Palaeobiology - Vertebrate Comparative Osteology Collection - Royal Ontario Museum. \n 20 records from Donn\u00e9es acquises dans le cadre de l'activit\u00e9 du bureau d'\u00e9tude BIOTOPE (1994 - 2013). \n 164 records from Field Museum of Natural History (Zoology) Bird Collection. \n 11 records from Cowan Tetrapod Collection - Birds. \n 28 records from Ornithology Collection Passeriformes - Royal Ontario Museum. \n 420 records from Acoustic monitoring data of avian species inside and outside the evacuation zone of the Fukushima Daiichi power plant accident. \n 5 records from Bird specimen database of Kanagawa Prefectural Museum of Natural History. \n 1 records from MSU Mammalogy, Ornithology and Vertebrate Paleontology Collections. \n 2 records from DREAL_PACA_-_N2000_-_Conseil_G\u00e9n\u00e9ral_06_2017_12_18. \n 26 records from Oiseaux de France m\u00e9tropolitaine 2009-2013 en p\u00e9riode hivernale. \n 5 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Cord. \n 2 records from Donn\u00e9es naturalistes de Patrick HAFFNER. \n 1049 records from Aranzadi Ringing Scheme (bird ring-recovery data). \n 3 records from Vogeltrekstation (NL) - Historical Data on Timing of Ringing of Nestling Birds. \n 4 records from Donn\u00e9es issues de Clicnat (Base de donn\u00e9es naturaliste picarde g\u00e9r\u00e9e par Picardie Nature). \n 5 records from Bird Collection of Museum and Institute of Zoology PAS. \n 99 records from University of Michigan Museum of Zoology, Division of Birds. \n 5 records from SDNHM Birds Collection. \n 1 records from Donn\u00e9es de Luc BARBARO. \n 1 records from Museu de Ci\u00e8ncies Naturals de Barcelona: MCNB-Tissue. \n 130 records from Data collected on scitizen science web portal www.ornitho.cat. \n 2 records from Lund Museum of Zoology (MZLU). \n 49 records from Mesures compensatoires A65 (CDC Biodivsersit\u00e9). \n 20 records from Oiseaux nicheurs de France m\u00e9tropolitaine 2009-2012 - Nidification certaine. \n 1 records from Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Ornithology National Collection (MACNOr). Data from some individual datasets included in this download may be licensed under less restrictive terms."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Darwin Core Archive"}], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2019-01-01"}, "coverage": [], "device": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, 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Photograph of the type locality. The holotype was collected ca. 4 m above the ground from the trunk of the strangling fig in the center of the photo, just to the right of the road. Note the Monstera sp. vines (left foreground) and the epiphytic Asplenium sp. ferns (center and right center) which were common in the forest. Photo by A. 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These cells can be irreversibly differentiated into NT-neurons in the presence of retinoic acid and non-dividing cultures NT-neurons can be maintained for up to several months without retinoic acid. HSV is capable of infecting and replicating in differentiated NT-neurons and thus differentiated NT-neurons provide a ready source of human post-mitotic cells which can be useful to study certain aspects of the interaction of HSV and the neuron. Microarray analysis was used to examine how HSV-1 infection modulates cellular transcription in human NT-neurons, focusing on changes that take place during the first 24 hours following infection and compared to changes resulting from infection with inactivated virus. In addition, the transcriptional changes resulting from virus infection of neurons were compared to those observed in primary human fibroblasts. At early times after HSV infection a small number of cellular transcripts in NT-Neurons appear to be increased in abundance. Most of these transcripts that are up-regulated after infection are not unique to neuronal cells, and possibly represent a common cellular response to HSV infection. A few transcripts were not detected in infected human fibroblasts and may represent part of a transcriptional profile specific to this type of human neuronal cell. In contrast to the situation at early times after infection, analysis of cellular transcripts in NT-neurons at late times after infection is complicated by the overall profound decrease in cellular transcription. Thus, microarray analysis appeared to be most useful as a screening method for transcription changes following infection at early times after virus infection of NT-neurons. Two-condition experiment, NTNeurons infected with inactivated HSV-1 versus uninfected NTNeurons, 4 independent biological replicate sets (uninfected/infected) in dual channel array setup (Cy3/Cy5)."}], "format": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2010-10-15"}, "coverage": [], "device": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "language": {"classid": "", "classname": 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[], "rank": 1802, "affiliation": [], "fullname": "Nakamura, Tomoaki"}, {"surname": "Nakano", "name": "Itsuo", "pid": [], "rank": 1803, "affiliation": [], "fullname": "Nakano, Itsuo"}, {"surname": "Namasivayam", "name": "Harisankar", "pid": [], "rank": 1804, "affiliation": [], "fullname": "Namasivayam, Harisankar"}, {"surname": "Nanava", "name": "Gizo", "pid": [], "rank": 1805, "affiliation": [], "fullname": "Nanava, Gizo"}, {"surname": "Napier", "name": "Austin", "pid": [], "rank": 1806, "affiliation": [], "fullname": "Napier, Austin"}, {"surname": "Narayan", "name": "Rohin", "pid": [], "rank": 1807, "affiliation": [], "fullname": "Narayan, Rohin"}, {"surname": "Nash", "name": "Michael", "pid": [], "rank": 1808, "affiliation": [], "fullname": "Nash, Michael"}, {"surname": "Nattermann", "name": "Till", "pid": [], "rank": 1809, "affiliation": [], "fullname": "Nattermann, Till"}, {"surname": "Naumann", "name": "Thomas", "pid": [], "rank": 1810, "affiliation": [], "fullname": "Naumann, Thomas"}, {"surname": "Navarro", "name": "Gabriela", "pid": [], "rank": 1811, "affiliation": [], "fullname": "Navarro, Gabriela"}, {"surname": "Neal", "name": "Homer", "pid": [], "rank": 1812, "affiliation": [], "fullname": "Neal, Homer"}, {"surname": "Nechaeva", "name": "Polina", "pid": [], "rank": 1813, "affiliation": [], "fullname": "Nechaeva, Polina"}, {"surname": "Neep", "name": "Thomas James", "pid": [], "rank": 1814, "affiliation": [], "fullname": "Neep, Thomas James"}, {"surname": "Negri", "name": "Andrea", "pid": [], "rank": 1815, "affiliation": [], "fullname": "Negri, Andrea"}, {"surname": "Negri", "name": "Guido", "pid": [], "rank": 1816, "affiliation": [], "fullname": "Negri, Guido"}, {"surname": "Negrini", "name": "Matteo", "pid": [], "rank": 1817, "affiliation": [], "fullname": "Negrini, Matteo"}, {"surname": "Nektarijevic", "name": "Snezana", "pid": [], "rank": 1818, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1819, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Timothy Knight", "pid": [], "rank": 1820, "affiliation": [], "fullname": "Nelson, Timothy Knight"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1821, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1822, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nepomuceno", "name": "Andre Asevedo", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Nepomuceno, Andre Asevedo"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neumann", "name": "Manuel", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Neumann, Manuel"}, {"surname": "Neusiedl", "name": "Andrea", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Neusiedl, Andrea"}, {"surname": "Neves", "name": "Ricardo", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newcomer", "name": "Mitchel", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Newcomer, Mitchel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Nguyen", "name": "Duong Hai", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nguyen, Duong Hai"}, {"surname": "", "name": "", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nguyen Thi Hong, Van"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikiforou", "name": "Nikiforos", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nikiforou, Nikiforos"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolics", "name": "Katalin", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nikolics, Katalin"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Norberg", "name": "Scarlet", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Norberg, Scarlet"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1862, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1863, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1864, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakes", "name": "Louise Beth", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Oakes, Louise Beth"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Okamura", "name": "Wataru", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Okamura, Wataru"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Oropeza Barrera", "name": "Cristina", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Oropeza Barrera, Cristina"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Ottersbach", "name": "John", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ottersbach, John"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ouellette", "name": "Eric", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Ouellette, Eric"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Ovcharova", "name": "Ana", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Ovcharova, Ana"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Simon", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Owen, Simon"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganis", "name": "Efstathios", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Paganis, Efstathios"}, {"surname": "Pahl", "name": "Christoph", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pahl, Christoph"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Pais", "name": "Preema", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pais, Preema"}, {"surname": "Pajchel", "name": "Katarina", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Pajchel, Katarina"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Paleari", "name": "Chiara", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paleari, Chiara"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Palma", "name": "Alberto", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Palma, Alberto"}, {"surname": "Palmer", "name": "Jody", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Palmer, Jody"}, {"surname": "Pan", "name": "Yibin", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Pan, Yibin"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panikashvili", "name": "Natalia", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Panikashvili, Natalia"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Papadelis", "name": "Aras", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Papadelis, Aras"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Park", "name": "Woochun", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Park, Woochun"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pashapour", "name": "Shabnaz", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Pashapour, Shabnaz"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Passeri", "name": "Antonio", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Passeri, Antonio"}, {"surname": "Pastore", "name": "Fernanda", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Pastore, Fernanda"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pa\u0301sztor", "name": "Gabriella", "pid": [], "rank": 1953, "affiliation": [], "fullname": "P\u00e1sztor, Gabriella"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Patel", "name": "Nikhul", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Patel, Nikhul"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Patricelli", "name": "Sergio", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Patricelli, Sergio"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearce", "name": "James", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Pearce, James"}, {"surname": "Pedersen", "name": "Maiken", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Pedersen, Maiken"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedraza Morales", "name": "Maria Isabel", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Pedraza Morales, Maria Isabel"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Pelikan", "name": "Daniel", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Pelikan, Daniel"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penning", "name": "Bjoern", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Penning, Bjoern"}, {"surname": "Penson", "name": "Alexander", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Penson, Alexander"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Perez Cavalcanti", "name": "Tiago", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Perez Cavalcanti, Tiago"}, {"surname": "Perez Codina", "name": "Estel", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Perez Codina, Estel"}, {"surname": "Pe\u0301rez Garci\u0301a-Estan\u0303", "name": "Mari\u0301a Teresa", "pid": [], "rank": 1971, "affiliation": [], "fullname": "P\u00e9rez Garc\u00eda-Esta\u00f1, Mar\u00eda Teresa"}, {"surname": "Perez Reale", "name": "Valeria", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Perez Reale, Valeria"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrino", "name": "Roberto", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Perrino, Roberto"}, {"surname": "Perrodo", "name": "Pascal", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Perrodo, Pascal"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Jorgen", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Petersen, Jorgen"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Petersen, Troels"}, {"surname": "Petit", "name": "Elisabeth", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Petit, Elisabeth"}, {"surname": "Petridis", "name": "Andreas", "pid": [], 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"Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Piccinini", "name": "Maurizio", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Piccinini, Maurizio"}, {"surname": "Piec", "name": "Sebastian Marcin", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Piec, Sebastian Marcin"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pignotti", "name": "David", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Pignotti, 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A measurement of the cross section for the production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The results are based on an integrated luminosity of 4.6 fb-1 collected with the ATLAS detector at the LHC. The cross section is measured as a function of photon pseudorapidity and transverse energy in the kinematic range between 100 GeV and 1000 GeV and in the regions of pseudorapidity less than 1.37 and between 1.52 and 2.37. The results are compared to leading-order parton-shower Monte Carlo models and next-to-leading-order perturbative QCD calculations. Next-to-leading-order perturbative QCD calculations agree well with the measured cross sections as a function of transverse energy and pseudorapidity\n\nUPDATE (27 FEB 2015): The detailed information on bin-to-bin correlated and uncorrelated uncertainties has been made available as additional text file under the link below."}], "format": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2015-01-01"}, "coverage": [], "device": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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A measurement of the cross section for the production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The results are based on an integrated luminosity of 4.6 fb-1 collected with the ATLAS detector at the LHC. The cross section is measured as a function of photon pseudorapidity and transverse energy in the kinematic range between 100 GeV and 1000 GeV and in the regions of pseudorapidity less than 1.37 and between 1.52 and 2.37. The results are compared to leading-order parton-shower Monte Carlo models and next-to-leading-order perturbative QCD calculations. 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The dataset includes 44852 records from 405 constituent datasets: 3 records from Bioimages. 4 records from CBDC: Cumbria Wildlife Trust: survey records from 1970 - 2007 of County Wildlife Sites.. 1 records from Merseyside BioBank (unverified). 2 records from NBIS Records to December 2016. 142 records from Marie-Victorin Herbarium (MT) - Plantes vasculaires. 1 records from OEH Atlas of NSW Wildlife. 76 records from University of British Columbia Herbarium (UBC) - Vascular Plant Collection. 376 records from Phanerogamic Botanical Collections (S). 71 records from Jordal. 3 records from University of Vienna, Institute for Botany - Herbarium WU. 11 records from Database of Vascular Plants of Himalaya. 4 records from Isle of Man wildlife records from 01/01/2000 to 13/02/2017. 217 records from Vascular Plants, Field notes, Agder naturmuseum (KMN). 5 records from IAC - Herb\u00e1rio do Instituto Agron\u00f4mico de Campinas. 568 records from Naturalis Biodiversity Center (NL) - Botany. 3 records from PlutoF platform observations. 2 records from SP - Herb\u00e1rio do Estado \"Maria Eneyda P. Kaufmann Fidalgo\" - Cole\u00e7\u00e3o de Faner\u00f3gamas. 57 records from Plant Specimen from Herbarium (HIB) in China, Wuhan Botanical Garden, Chinese Academy of Sciences. 17 records from Plant Specimen in Yunnan, China from Herbarium (PE),Institute of Botany, Chinese Academy of Sciences. 18 records from SANT Herbarium vascular plants collection. 8 records from Harriet Irving Botanical Gardens (HIBG). 5 records from Species plots from the Norwegian Vegetation Mapping Programme. 1 records from Sistematizaci\u00f3n de la colecci\u00f3n entomol\u00f3gica y actualizaci\u00f3n de la colecci\u00f3n del herbario CHIP del Instituto de Historia Natural y Ecolog\u00eda (IHNE), Chiapas. 316 records from Vascular plants in Denmark recorded under the The Nationwide Monitoring and Assessment Programme for the Aquatic and Terrestrial Environments (NOVANA). 45 records from Karplanter i vernet barskog og edell\u00f8vskog. 10 records from University of Alberta Vascular Plant Herbarium (ALTA-VP). 125 records from Some Plant Specimens from KUN, IBSC, NAS Herbarium in China from 1900 to 1950. 204 records from Plant Specimen from Herbarium (CDBI) in China, Chengdu Institute of Botany, Chinese Academy of Sciences. 845 records from Florabank1 - A grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region). 74 records from RECORD Vascular Plant Data. 100 records from The digitization of plant specimens of NTU. 1 records from Local Wildlife Site Surveys Berkshire. 37 records from Phytochorologie des d\u00e9partements fran\u00e7ais. 107 records from BioFokus. 155 records from Herbier Louis-Marie (QFA) - Collection de plantes vasculaires. 17 records from Vascular plant herbarium, Agder naturmuseum og botaniske hage. 8 records from Cat\u00e1logo electr\u00f3nico de espec\u00edmenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV. 32 records from Inventaire National du Patrimoine Naturel : CBN Aquitaine-Poitou-Charentes. 105 records from Dutch Foundation for Applied Water Research (STOWA) - Limnodata Neerlandica. 3407 records from Artportalen (Swedish Species Observation System). 135 records from Plant Specimen Database of Tama Forest Science Garden, Forestry and Forest Products Research Institute, Japan. 3 records from Flora of S\u0142owi\u0144ski National Park, Poland. 6 records from MBM - Herb\u00e1rio do Museu Bot\u00e2nico Municipal. 6 records from Stabbetorp - Floristiske registreringer 2016. 6 records from Herbario Museo de La Salle Bogot\u00e1 (BOG). 3 records from Miscellaneous records held on the Cofnod database. 1 records from River Macrophytes Database. 3 records from Gothenburg Herbarium - Types (GBIF:IH:GB:Herbarium). 6 records from Inventaire National du Patrimoine Naturel : Flore du Limousin. 38 records from Oskarshamn herbarium (OHN). 311 records from Donn\u00e9es ONF Faune-Flore-Fonge. 2 records from Tallinn Botanic Garden. 15 records from Norwegian Biodiversity Information Centre - Other datasets. 14 records from Australia's Virtual Herbarium. 467 records from CSIC-Real Jard\u00edn Bot\u00e1nico-Anthos. Sistema de Informaci\u00f3n de las Plantas de Espa\u00f1a. 3 records from Herbier de Strasbourg. 207 records from Vascular Plant Herbarium, UiB. 29 records from DBG Kathryn Kalmbach Herbarium. 27 records from Banco de Germoplasma del Jard\u00edn Bot\u00e1nico Atl\u00e1ntico. 2 records from Hertfordshire Flora Survey Records 1987-2005. 3 records from Natural History Museum Maastricht (NL) - Herbarium. 659 records from Consortium of California Herbaria. 34 records from NRW Regional Data: all taxa (excluding sensitive species), West Wales. 504 records from iNaturalist Research-grade Observations. 17 records from UCBG TAPIR Provider. 1 records from Commissioned surveys and staff surveys and reports for Scottish Wildlife Trust reserves - Unassessed data. 55 records from ARKO strandeng. 68 records from CONN. 2 records from HUCS - Herb\u00e1rio da Universidade de Caxias do Sul. 39 records from Other BSBI Scottish data up to 2012. 21 records from Butler University Friesner Herbarium (BUT). 1 records from Merseyside BioBank Active Naturalists (unverified). 7 records from McGill University Herbarium Database. 59 records from University of Lethbridge Herbarium (LEA). 7 records from LSU Shirley C. Tucker Herbarium at Louisiana State University - Vascular Plants. 16 records from Estonian Museum of Natural History. 1 records from Cat\u00e1logo electr\u00f3nico de espec\u00edmenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV. 1 records from Collection botanique Le Grand A. (BOUM). 13 records from NINA botanical collection. 4 records from National Trust Species Records. 321 records from UAM Herbarium (ALA), Vascular Plant Collection (Arctos). 10 records from Finnish Floristic Database (Small Collections). 101 records from Estonian University of Life Sciences. 536 records from Plant Specimen from Herbarium (NAS) in China, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences. 1 records from Hochschulgel\u00e4nde (Bremen). 3 records from Fungus Collections at Staatliches Museum f\u00fcr Naturkunde Karlsruhe (Herbarium KR). 2 records from Paul-Gerhardt-Schule Dassel. 1 records from Urwald 3 (Bad Waldsee). 1 records from Warnowtal (Rostock). 1 records from Sudeniederung (Amt Neuhaus). 1 records from Kaltenkirchen Brache. 1 records from Tiere und Pflanzen am Pfannenbach. 1 records from Schulgel\u00e4nde Paul-Gerhardt-Schule. 1 records from VFD-RP: Taunus: Kirchenweide K\u00f6pplers. 1 records from Weinberg Reichersdorf. 19 records from Inventaire National du Patrimoine Naturel : CBN Brest. 1 records from Tag der Artenvielfalt in Heidelberg. 24 records from Herbarium specimens of Soci\u00e9t\u00e9 des Sciences Naturelles et Math\u00e9matiques de Cherbourg (CHE). 1 records from VFD-RP: Taunus: M\u00e4hweide Dehe. 735 records from Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria. 2 records from Sammlung altes Gartenherbar Herbarium Hamburgense HBG. 30 records from OAC-BIO Herbarium. 24 records from Yorkshire Wildlife Trust - Non-sensitive records from all taxonomic groups. 7 records from Naturhistorisches Museum Mainz, Feldbeobachtungsdaten Pflanzen. 12 records from SEWBReC Vascular Plants (South East Wales). 331 records from naturgucker. 3 records from Standing Waters Database - Scotland. 1 records from Schulaktion des Dienzenhofer-Gymnasiums. 1 records from Donauinsel des BN bei Entau. 2 records from Vascular Plants Collection of National Museum of Nature and Science. 2428 records from Dutch Vegetation Database (LVD). 1392 records from INPN - Donn\u00e9es flore des CBN agr\u00e9g\u00e9es par la FCBN. 17 records from NZ National Vegetation Survey occurrence data. 7 records from The Fungal Collection at the Senckenberg Museum f\u00fcr Naturkunde G\u00f6rlitz. 19 records from Herbario XAL del Instituto de Ecolog\u00eda, A.C., M\u00e9xico (IE-XAL). 9 records from Herbario IEB del Instituto de Ecolog\u00eda, A.C., M\u00e9xico (IE-BAJ\u00edO). 3 records from CeDoc de Biodiversitat Vegetal: BCN-Seeds. 120 records from Vascular plant specimens of Akita Prefectural Museum. 13 records from Jardin botanique de Montr\u00e9al (JBM). 86 records from FKSE-Herbarium specimens of Faculty of Symbiotic Systems Science, Fukushima University, Japan. 68 records from Royal Botanic Garden Edinburgh Living Plant Collections (E). 170 records from Angiospermatatophytina Collection of Saitama Museum of Natural History. 10 records from Plant (KIWE-PL). 20 records from Plant (JNHM-PL). 1 records from Plant (MNHM-PL). 3 records from Plant (NHMC-PL). 6 records from Plant (GFEI-PL). 42 records from Plant (NSMK-PL). 1 records from Plant (NHMK-PL). 2 records from Herbaria of the University and ETH Z\u00fcrich. 8 records from Tiroler Landesmuseum Ferdinandeum. 12 records from The Vascular Plant Collection at the Botanische Staatssammlung M\u00fcnchen. 70 records from IBF Monitoring of Vascular Plants. 1 records from Inventario flor\u00edstico de los cerros San Mart\u00ed y El Patol en el semidesierto queretano. 1 records from Vascular plant specimens of Iida City Museum. 183 records from Tropicos Specimen Data. 3 records from BRERC species records recorded over 15 years ago. 1 records from Naturhistorisches Museum Mainz, Botanical Collection. 1 records from Botanical Research Intitute of Texas. 24 records from Natural History Museum (London) Collection Specimens. 18 records from Cat\u00e1logo Flor\u00edstico Hist\u00f3rico de Navarra. Gobierno de Navarra. 6 records from Natural History Museum, Vienna - Herbarium W. 384 records from Waarnemingen.be - Non-native plant occurrences in Flanders and the Brussels Capital Region, Belgium. 270 records from NatureServe Network Species Occurrence Data. 3 records from An\u00e1lisis de la heterogeneidad ambiental y conectividad de las \u00e1reas naturales del sur del Valle de M\u00e9xico. 2 records from Base de datos del Herbario de la Unidad Acad\u00e9mica de Agronom\u00eda de la Universidad Aut\u00f3noma de Zacatecas. 5 records from Flora-On: occurrence data of the flora of mainland Portugal. 3 records from An\u00e1lisis de la heterogeneidad ambiental y conectividad de las \u00e1reas naturales del sur del Valle de M\u00e9xico_1. 6 records from Colecci\u00f3n cient\u00edfica del Museo de Historia Natural Alfredo Dug\u00e9s. 3 records from Plant Specimens of Oiso Municipal Museum. 50 records from Plant specimens of Hokkaido University Museum. 20 records from Vascular Plant Collection of Natural History Museum and Institute, Chiba. 127 records from Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan. 11 records from Universidad de Barcelona. Grup dInvestigaci\u00f3 Geobot\u00e1nica i Cartografia de la Vegetaci\u00f3. 2 records from KNWR Herbarium Collection. 11 records from Botanical specimens database of Mr. Jiro Ito collection, Shizuoka Prefecture Museum of Natural History. 7 records from Dataflos. 173 records from Ibaraki Nature Museum, Vascular Plants collection. 4 records from Leiner-Herbar Konstanz. 16 records from Survey and monitoring records for Scottish Wildlife Trust reserves from reserve convenors and Trust volunteers - Unassessed data. 130 records from NMNH Extant Specimen Records. 50 records from The Himalayan Uplands Plant database (HUP Version 1). 5 records from Botanical Garden Collection. 4 records from Korean Ethnobotany Database. 4 records from Factual Database of Native Flora Seeds in Korea. 21 records from Canadian Museum of Nature Herbarium. 253 records from Vascular Plant Collection - University of Washington Herbarium (WTU). 5 records from Fairchild Tropical Botanic Garden Virtual Herbarium Darwin Core format. 74 records from Herbarium (ICEL). 17 records from Herbarium (AMNH). 787 records from Observational database of Icelandic plants. 20 records from Colecci\u00f3n de plantas vasculares del herbario de la Universitat de Val\u00e8ncia (VAL).. 33 records from Herbario de Plantas Vasculares de la Universidad de Salamanca: SALA. 114 records from CSIC-Real Jard\u00edn Bot\u00e1nico-Colecci\u00f3n de Plantas Vasculares (MA). 2 records from Universidad del Pa\u00ed\u00ads Vasco/EHU, Bilbao: Herbario BIO. 20 records from Universidad de Oviedo. Departamento de Biolog\u00eda de Organismos y Sistemas: FCO. 5 records from Herbario EMMA. Herbario de la Escuela T\u00e9cnica Superior de Ingenieros de Montes. UPM. 15 records from Herbario de la Universidad de Sevilla. 3 records from Herbario de la Universidad de Sevilla, SEV-Historico. 3 records from Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Gobierno de Extremadura. 13 records from Institut Botanic de Barcelona, BC. 22 records from Auckland Museum Botany Collection. 6 records from Botanic Garden of the Finnish Museum of Natural History. 9 records from Herbarium of Jyv\u00e4skyl\u00e4 University Museum. 2 records from Plant in Baekdu Mountain (KIDR-PL). 7 records from Royal Botanical Gardens Herbarium. 78 records from New Zealand Virtual Herbarium. 6 records from DAO Herbarium Type Specimens. 2 records from herbario. 1 records from Vascular Plants Collection of National Museum of Nature and Science. 300 records from Plant Specimens of Kurashiki Museum of Natural History. 44 records from Herbarium Specimens of Tokushima Prefectural Museum, Japan. 9 records from Herbarium of Kitakyushu Museum of Natural History and Human History. 288 records from Vascular Plant Collection. 3 records from Arizona State University Vascular Plant Herbarium. 2 records from University of Copenhagen Arboretum. 2 records from Botany registration database by Danish botanists. 36 records from Herbarium Faeroense. 11 records from Botanical Museum, Copenhagen. Database of type specimens. 180 records from DAV UC Davis Center for Plant Diversity. 14 records from Herbarium (UNA). 3 records from MEXU/Tipos de plantas vasculares. 20 records from Actualizaci\u00f3n de las bases de datos del Herbario XAL. Fase III. 1 records from Flora exsiccata Bavarica. 1 records from GEO Biodiversity Day. 50 records from Herbarium Berolinense. 33 records from Staatliches Museum f\u00fcr Naturkunde Stuttgart, Herbarium. 18 records from Observations du Conservatoire botanique national du Bassin parisien.. 1 records from Biologiezentrum Linz. 5 records from Herbarium Senckenbergianum G\u00f6rlitz (GLM). 52 records from United States National Plant Germplasm System Collection. 1 records from The System-wide Information Network for Genetic Resources (SINGER). 2 records from The Erysiphales Collection at the Botanische Staatssammlung M\u00fcnchen. 1 records from The Erysiphales Collection at the University Halle-Wittenberg. 105 records from Nordic Genetic Resources. 40 records from USU-UTC Specimen Database. 7 records from Universidad Polit\u00e9cnica de Madrid, Dpto. Biolog\u00eda Vegetal, Banco de Germoplasma. 4 records from Institut Botanic de Barcelona, BC-Hist\u00f3rico. 3 records from Herbarium de Geo. B. Hinton, M\u00e9xico. 6 records from Plant Specimens of Lake Biwa Museum. 82 records from Angiosperm specimens of Iwate Prefectural Museum. 77 records from Vascular Plants Collection of Sagamihara City Museum. 204 records from Harvard University Herbaria. 5 records from Vascular plants of south-central China. 124 records from Specimen Database of Colorado Vascular Plants. 10 records from Visual Plants (144.41.33.158) - Botanical garden, University of Hohenheim, Germany. 1 records from Herbarium BSG Vascular Plants. 3 records from inatura - Erlebnis Naturschau Dornbirn. 2 records from Inventaire National du Patrimoine Naturel : Programme national esp\u00e8ces v\u00e9g\u00e9tales de la Directive Habitat. 109 records from EURISCO, The European Genetic Resources Search Catalogue. 184 records from Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Prefecture, Japan. 7 records from Plant Specimens of Taga Town Museum, Shiga Pref., Japan. 259 records from Plant specimens depodited in Osaka Museum of Natural History, Japan.. 39 records from Kochi Prefectural Makino Botanical Garden. 20 records from Plant Specimens of The Shimane Nature Museum of Mt. Sanbe. 2 records from PlantBank Records. 1 records from SER Site-based Surveys. 2 records from Biodiversit\u00e4tsdatenbank des Landes Salzburg. 2 records from Repatriaci\u00f3n de datos del Herbario de Arizona (ARIZ). 2 records from Vascular Plants, Observations, Oslo (O). 25 records from Oklahoma Vascular Plants Database Provider. 1 records from Schlichemquelle (Tieringen/Me\u00dfstetten). 1 records from Zuk\u00fcnftiges NSG H\u00f6ftland/Bockholmwik. 1 records from NSG H\u00fclenbuch H\u00f6rnle (Tieringen/Me\u00dfstetten). 1 records from Neckartals\u00fcdhang (Horb). 1 records from GEO-Hauptveranstaltung (Insel Vilm). 1 records from BUND - Dassower See (L\u00fcbeck/Dassow). 1 records from Sudeniederung (Amt Neuhaus), Landkreis L\u00fcneburg. 1 records from 20 Jahre Naturschutzgebiet Dreienberg. 1 records from Heinersdorfer Sumpfwiese. 1 records from Wismar Bucht coast-watching. 1 records from Stadtgebiet (Dannenberg). 1 records from Bergkamen- Bergehalde Gro\u00dfes Holz. 1 records from Tiergarten Straubing. 1 records from Wupperaue bei Kemna (Wuppertal). 2 records from Naturerlebnisraum Koppelsberg. 126 records from Plantae, TAIF (Taiwan e-Learning and Digital Archives Program, TELDAP). 775 records from Atlas Flora Danica. 18 records from Scottish SNH-funded BSBI records. 18 records from Herbarium of Namur. 35 records from Natural History Museum, University of Tartu. 19 records from Herbarium of Ume\u00e5 University (UME). 86 records from Base de datos de plantas vasculares del Pa\u00eds Vasco: ARAN-EH. 31 records from Field Museum of Natural History (Botany) Seed Plant Collection. 10 records from NRW Regional Data: North Wales. 41 records from MPM Milwaukee Public Museum Herbarium. 8 records from Polish gene bank \u2013 passport data of plants accessions which are important in human life. 3 records from Belgian IFBL Flora Checklists (1939-1971). 59 records from Inventaire National du Patrimoine Naturel : Flore Franco-Belge. 1 records from Sp\u00e9cimens d'herbiers de G. Fenoul (FEN). 1 records from Westerw\u00e4lder Umwelt- und Naturschutztag an der Fuchskaute im Westerwald. 1 records from Auenwiesen und Trockenrasen. 73 records from Colorado State University Herbarium. 15 records from EKY_Darwincore. 16 records from MISS_DC_01MAR2006. 37 records from NCSU_Darwincore. 73 records from R. L. McGregor Herbarium Vascular Plants Collection. 1 records from Herbario de la Universidad P\u00fablica de Navarra, Pamplona: UPNA-H. 629 records from Vascular Plant Specimen Database of Kanagawa Prefectural Museum of Natural History. 160 records from Gunma Museum of Natural History, Vascular Plant Specimen. 1273 records from Plant. 1 records from Jard\u00edn Bot\u00e1nico Atl\u00e1ntico, Gij\u00f3n: JBAG. 2 records from MGC Herbarium of University of Malaga (Spain): MGC-Cormof dataset. 11 records from Biological and palaeontological collection and observation data MNHNL. 64 records from Botany Division, Yale Peabody Museum. 1 records from VFD-RP, Taunus: Bergweide Dehe. 10 records from Herbarium Senckenbergianum (FR). 19 records from Universidad de Oviedo. Departamento de Biolog\u00eda de Organismos y Sistemas: FCO-Briof. 52 records from Database of Native Plants in Taiwan. 4 records from Flora (vascular) y fauna (aves) de los Parques Nacionales del estado de Baja California: Constituci\u00f3n de 1857 y Sierra San Pedro M\u00e1rtir. 8 records from Plant of Folklore (KIDR-PL). 38 records from Herbarium of Taiwan Forestry Research Institute. 11 records from Herbarium specimens of the Mus\u00e9um d'Histoire Naturelle of Aix-en-Provence (AIX). 9 records from Etapa final de la captura y catalogaci\u00f3n del Herbario del Instituto de Ecolog\u00eda, AC, Centro Regional del Baj\u00edo. 4 records from Plant - Seed (KIDR-PL). 5 records from Banco de datos flor\u00edsticos del Herbario CHAP. 25 records from Monitoring records of plant species in the Hakone region of Fuji-Hakone-Izu National Park, Japan, 2001-2010. 1 records from WII Herbarium Dataset. 24 records from National vegetation diversity inventory and mapping plan. 13 records from VIT Herbarium - Vascular Plants (The Natural History Museum of Alava). 1 records from Vascular Herbarium, NMBU. 67 records from National Wetland Inventory (NV). 1002 records from FloraCAT: Banco de datos de los corm\u00f3fitos de Catalu\u00f1a. 1 records from Herbarium specimens, Harmas J.H. Fabre (FABR - S\u00e9rignan-du-Comtat) of the Mus\u00e9um national d'Histoire naturelle (MNHN - Paris). 1329 records from Flora d'Andorra. 4 records from National System of Protected Areas in Poland - Plants. 4 records from Rotherham Biological Records Centre - Non-sensitive Records from all taxonomic groups. 1 records from ArtenFinder. 262 records from Lund Botanical Museum (LD). 48 records from Natural Resources Wales Regional Data : Mid-Wales. 3 records from VegetWeb - Repositorium von Vegetationsaufnahmen a. 2 records from University of South Florida Herbarium (USF). 13 records from Plant Specimen from Herbarium (LBG) in China, Lushan Botanical Garden, Jiangxi and Chinese Academy of Sciences. 1530 records from Norwegian Species Observation Service. 5 records from Vascular Plants, Museum of Archaeology, University of Stavanger. 37 records from Plant Specimen from Herbarium (IBK) in China, Guangxi Institute of Botany, Chinese Academy of Sciences. 1349 records from The vascular plants collection (P) at the Herbarium of the Mus\u00e9um national d'Histoire Naturelle (MNHN - Paris). 12 records from LERN Records. 5 records from SBT-Living. 87 records from Hatikka Observation Database. 2 records from The Vascular Plants Collection of the University of Goettingen. 1 records from University of Florida Herbarium (FLAS). 12 records from Bernice P. Bishop Museum. 35 records from Carnet en Ligne. 3 records from ENDEMIC SPECIES RESEARCH INSTITUTE\uff08Herbarium\uff09. 11 records from Seed collection \u2013 Dead seeds for evaluation and observation purposes. 8 records from ARKO kulturmarkseng. 102 records from Royal Botanic Garden Edinburgh Herbarium (E). 1 records from All observations extracted from the Flora of Northumberland and Durham 1831. 121 records from Waarnemingen.be - Plant occurrences in Flanders and the Brussels Capital Region, Belgium. 52 records from Michigan State University Herbarium Vascular Plants. 2 records from Estudio flor\u00edstico de la Sierra de Pachuca, Hidalgo, M\u00e9xico. 250 records from Botany (UPS). 6 records from Museu de Ci\u00e8ncies Naturals de Barcelona: BGJBB. 17 records from Merseyside BioBank (verified). 2 records from Type herbarium, G\u00f6ttingen (GOET). 39 records from Herbier du Qu\u00e9bec (QUE) - Collection de plantes vasculaires. 51 records from Herbarium Specimens of Bonin and Ryukyu Islands. 5 records from Flora of Worcestershire. 7 records from Computarizaci\u00f3n del Herbario ENCB. Fase I (Base de datos de los ejemplares del Valle de M\u00e9xico). 4 records from University of British Columbia Botanical Garden Collections (UBCBG). 3 records from PlutoF platform reference-based occurrences. 54 records from Herbarium specimens of Universit\u00e9 de Montpellier 2, Institut de Botanique (MPU)). 937 records from Finnish Floristic Database (Literature Sources). 1 records from Base de datos computarizada del herbario CIB, Instituto de Investigaciones Biol\u00f3gicas, Universidad Veracruzana. 3 records from Institut Menorqu\u00ed d'Estudis. Colecci\u00f3n Hist\u00f3rica de Rodr\u00edguez Femen\u00edas, Herbarium Generale Minoricae: HGM-Femenias. 50 records from Royal Botanic Gardens, Kew - Herbarium Specimens. 3 records from Verneplan Hjerkinn karplanter. 128 records from Vascular plant herbarium, Troms\u00f8 Museum. 178 records from Vascular plant herbarium, NTNU University Museum. 311 records from Donn\u00e9es ONF Faune-Flore-FOnge. 96 records from Institute of Ecology and Evolutionary Biology, National Taiwan University. 1563 records from Vascular Plants, Field notes, Oslo (O). 211 records from The New York Botanical Garden Herbarium (NY) - Vascular Plant Collection. 822 records from Sistema de Informaci\u00f3n de la vegetaci\u00f3n Ib\u00e9rica y Macaron\u00e9sica. 12 records from Distribution of Higher Plants in Greater Manchester. 283 records from Vegetation data from protected areas in Denmark (\u00a7 3 in the Danish Nature Protection Act). 311 records from Donn\u00e9es ONF Faune-Flore-FOnge. 2 records from Wilson Botanical Garden - Las Cruces Biological Station. 25 records from Ecofact. 11 records from Green Plant Herbarium (TRT). 7 records from Inventaire National du Patrimoine Naturel : Flore du Massif Armoricain. 121 records from Gothenburg Herbarium - General (GBIF:IH:GB:Herbarium). 3 records from Plant Observation Records of Japan. 645 records from Floristic Databases of Mecklenburg-Pomerania - Higher Plants. 40 records from Herbarium specimens of Herbiers Universitaires de Clermont-Ferrand (CLF). 39 records from Allan Herbarium (CHR). 1 records from IRAI - Herb\u00e1rio do Parque da Ci\u00eancia Newton Freire Maia. 90 records from SysTax - Botanical Gardens. 1 records from Herbarium specimens of CBNA (GAP). 2 records from Korean Peninsula Flora. 1 records from Gipuzkoako Foru Aldundiaren Landareen Germoplama Bankua / Banco de Germoplasma Vegetal de la Diputaci\u00f3n Foral de Gipuzkoa. 1 records from CZE National PGR Inventory. 13 records from Tracheophyta collection of Biodiversity Center of Japan, Ministry of Environment. 2 records from Digitization of plant specimens from Rhoen and Vogelsberg (FULD). 356 records from Vascular Plant Herbarium, Oslo (O). 5 records from Herbarium specimens of Jardins botaniques and Conservatoire Botanique of Nancy (NCY). 2 records from Natural History Museum Rotterdam (NL) - Plantae collection. 3 records from Environmental Monitoring Database Species data 1987 to 2015. 2429 records from Flora von Deutschland (Phanerogamen). 5 records from Suffolk Biodiversity Information Service (SBIS) Dataset. 3 records from WTSWW Data: All Taxa (West Wales). 38 records from E. C. Smith Herbarium (ACAD). 1 records from Propuesta para sistematizar la colecci\u00f3n palinol\u00f3gica de polen reciente y f\u00f3sil del IGLUNAM. 21 records from BUT Friesner Herbarium. 2 records from Natagriwal ; Observations made from operations within Natura 2000 habitats and other semi-natural areas. 1 records from Sistematizaci\u00f3n del Herbario Nacional Forestal Bi\u00f3l Luciano Vela G\u00e1lvez. 1 records from SWECO. 5 records from Herbario de Plantas Vasculares de la Asociaci\u00f3n BIGA para el estudio del patrimonio natural de Galicia: FBIGA. 2 records from Herbarium Erlangense. 1 records from Fusi\u00f3n y actualizaci\u00f3n de las bases de datos del Herbario de la Facultad de Ciencias, UNAM (FCME), Guerrero. 2 records from National Trust for Scotland Species Records. 516 records from Vascular plant field notes, NTNU University Museum. 1 records from Vascular plants in Danish coastal meadows. 2768 records from Finnish Floristic Database (Finnish Museum of Natural History Collections). 25 records from Geneva Herbarium \u2013 General Collection (G). 3 records from Welsh BSBI data (ex-VPDB dataset) at hectad resolution. 3 records from Nijmegen Natural History Museum (NL) - Herbarium. 5 records from BRERC species records within last 15 years. 130 records from Some Plant Specimens from PE Herbarium in China from 1900 to 1950. 115 records from CAS Botany (BOT). 1 records from University of Graz, Institute of Plant Sciences - Herbarium GZU. 3 records from National Museum of Natural Science. 2 records from Herbarium specimens of Limoges university (LIMO). 4 records from PACA-AGP - Herbarium Anchieta. 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"name": "Henrik", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Ohman, Henrik"}, {"surname": "Oide", "name": "Hideyuki", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Oide, Hideyuki"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Oleiro Seabra", "name": "Luis Filipe", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Oleiro Seabra, Luis Filipe"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onogi", "name": "Kouta", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Onogi, Kouta"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oppen", "name": "Henrik", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oppen, Henrik"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Otono", "name": "Hidetoshi", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Otono, Hidetoshi"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Oussoren", "name": "Koen Pieter", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Oussoren, Koen Pieter"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Rhys Edward", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Owen, Rhys Edward"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Pacheco Rodriguez", "name": "Laura", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Pacheco Rodriguez, Laura"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganini", "name": "Michela", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Paganini, Michela"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Palazzo", "name": "Serena", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Palazzo, Serena"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Palka", "name": "Marek", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Palka, Marek"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panagoulias", "name": "Ilias", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Panagoulias, Ilias"}, {"surname": "Pandini", "name": "Carlo Enrico", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pandini, Carlo Enrico"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Paolozzi", "name": "Lorenzo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paolozzi, Lorenzo"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Parker", "name": "Adam Jackson", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Parker, Adam Jackson"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parker", "name": "Kerry Ann", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Parker, Kerry Ann"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pascuzzi", "name": "Vincent", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pascuzzi, Vincent"}, {"surname": "Pasner", "name": "Jacob Martin", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Pasner, Jacob Martin"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearson", "name": "Benjamin", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Pearson, Benjamin"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedro", "name": "Rute", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Pedro, Rute"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Penc", "name": "Ondrej", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Penc, Ondrej"}, {"surname": "Peng", "name": "Cong", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Peng, Cong"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Peralva", "name": "Bernardo", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Peralva, Bernardo"}, {"surname": "Perego", "name": "Marta Maria", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Perego, Marta Maria"}, {"surname": "Perepelitsa", "name": "Dennis", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Perepelitsa, Dennis"}, {"surname": "Peri", "name": "Francesco", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Peri, Francesco"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrella", "name": "Sabrina", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Perrella, Sabrina"}, {"surname": "Peschke", "name": "Richard", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Peschke, Richard"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Petersen, Troels"}, {"surname": "Petit", "name": "Elisabeth", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Petit, Elisabeth"}, {"surname": "Petridis", "name": "Andreas", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Petridis, Andreas"}, {"surname": "Petridou", "name": "Chariclia", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Petridou, Chariclia"}, {"surname": "Petroff", "name": "Pierre", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Petroff, Pierre"}, {"surname": "Petrolo", "name": "Emilio", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Petrolo, Emilio"}, {"surname": "Petrov", "name": "Mariyan", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Petrov, Mariyan"}, {"surname": "Petrucci", "name": "Fabrizio", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Petrucci, Fabrizio"}, {"surname": "Pettersson", "name": "Nora Emilia", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Pettersson, Nora Emilia"}, {"surname": "Peyaud", "name": "Alan", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Peyaud, Alan"}, {"surname": "Pezoa", "name": "Raquel", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pezoa, Raquel"}, {"surname": "Phillips", "name": "Forrest Hays", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Phillips, Forrest Hays"}, {"surname": "Phillips", "name": "Peter William", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Pickering", "name": "Mark Andrew", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Pickering, Mark Andrew"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pilcher", "name": "James", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Pilcher, James"}, {"surname": "Pilkington", "name": "Andrew", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Pilkington, Andrew"}, {"surname": "Pin", "name": "Arnaud Willy J.", "pid": [], "rank": 1985, "affiliation": [], "fullname": "Pin, Arnaud Willy J"}, {"surname": "Pinamonti", "name": "Michele", "pid": [], "rank": 1986, "affiliation": [], "fullname": "Pinamonti, Michele"}, {"surname": "Pinfold", "name": "James", "pid": [], "rank": 1987, "affiliation": [], "fullname": "Pinfold, James"}, {"surname": "Pirumov", "name": "Hayk", "pid": [], "rank": 1988, "affiliation": [], "fullname": "Pirumov, Hayk"}, {"surname": "Pitt", "name": "Michael", "pid": [], "rank": 1989, "affiliation": [], "fullname": "Pitt, Michael"}, {"surname": "Plazak", "name": "Lukas", "pid": [], "rank": 1990, "affiliation": [], "fullname": "Plazak, Lukas"}, {"surname": "Pleier", "name": "Marc-Andre", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Pleier, Marc-Andre"}, {"surname": "Pleskot", "name": "Vojtech", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Pleskot, Vojtech"}, {"surname": "Plotnikova", "name": "Elena", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Plotnikova, Elena"}, {"surname": "Pluth", "name": "Daniel", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Pluth, Daniel"}, {"surname": "Podberezko", "name": "Pavel", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Podberezko, Pavel"}, {"surname": "Poettgen", "name": "Ruth", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Poettgen, Ruth"}, {"surname": "Poggi", "name": "Riccardo", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Poggi, Riccardo"}, {"surname": "Poggioli", "name": "Luc", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Poggioli, Luc"}, {"surname": "Pohl", "name": "David-Leon", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Pohl, David-Leon"}, {"surname": "Polesello", "name": "Giacomo", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Polesello, Giacomo"}, {"surname": "Poley", "name": "Anne-Luise", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Poley, Anne-Luise"}, {"surname": "Policicchio", "name": "Antonio", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Policicchio, Antonio"}, {"surname": "Polifka", "name": "Richard", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Polifka, Richard"}, {"surname": "Polini", "name": "Alessandro", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Polini, Alessandro"}, {"surname": "Pollard", "name": "Christopher Samuel", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Pollard, Christopher Samuel"}, {"surname": "Polychronakos", "name": "Venetios", "pid": [], "rank": 2006, "affiliation": [], "fullname": "Polychronakos, Venetios"}, {"surname": "Pomme\u0300s", "name": "Kathy", "pid": [], "rank": 2007, "affiliation": [], "fullname": "Pomm\u00e8s, Kathy"}, {"surname": "Ponomarenko", "name": "Daniil", "pid": [], "rank": 2008, "affiliation": [], "fullname": "Ponomarenko, Daniil"}, {"surname": "Pontecorvo", "name": "Ludovico", "pid": [], "rank": 2009, "affiliation": [], "fullname": "Pontecorvo, Ludovico"}, {"surname": "Popeneciu", "name": "Gabriel Alexandru", "pid": [], "rank": 2010, "affiliation": [], "fullname": "Popeneciu, Gabriel Alexandru"}, {"surname": "Poppleton", "name": "Alan", "pid": [], "rank": 2011, "affiliation": [], "fullname": "Poppleton, Alan"}, {"surname": "Pospisil", "name": "Stanislav", "pid": [], "rank": 2012, "affiliation": [], "fullname": "Pospisil, Stanislav"}, {"surname": "Potamianos", "name": "Karolos", "pid": [], "rank": 2013, "affiliation": [], "fullname": "Potamianos, Karolos"}, {"surname": "Potrap", "name": "Igor", "pid": [], "rank": 2014, "affiliation": [], "fullname": "Potrap, Igor"}, {"surname": "Potter", "name": "Christina", "pid": [], "rank": 2015, "affiliation": [], "fullname": "Potter, Christina"}, {"surname": "Poulard", "name": "Gilbert", "pid": [], "rank": 2016, "affiliation": [], "fullname": "Poulard, Gilbert"}, {"surname": "Poulsen", "name": "Trine", "pid": [], "rank": 2017, "affiliation": [], "fullname": "Poulsen, Trine"}, {"surname": "Poveda", "name": "Joaquin", "pid": [], "rank": 2018, "affiliation": [], "fullname": "Poveda, Joaquin"}, {"surname": "Pozo Astigarraga", "name": "Mikel Eukeni", "pid": [], "rank": 2019, "affiliation": [], "fullname": "Pozo Astigarraga, Mikel Eukeni"}, {"surname": "Pralavorio", "name": "Pascal", "pid": [], "rank": 2020, "affiliation": [], "fullname": "Pralavorio, Pascal"}, 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[], "rank": 1822, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neumann", "name": "Manuel", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Neumann, Manuel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Ng", "name": "Tsz Yu", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Ng, Tsz Yu"}, {"surname": "Nguyen Manh", "name": "Tuan", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Nguyen Manh, Tuan"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Jon Kerr", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nilsen, Jon Kerr"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishu", "name": "Nishu", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nishu, Nishu"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nitsche", "name": "Isabel", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nitsche, Isabel"}, {"surname": "Nitta", "name": "Tatsumi", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nitta, Tatsumi"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Noguchi", "name": "Yohei", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Noguchi, Yohei"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nomura", "name": "Marcelo Ayumu", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nomura, Marcelo Ayumu"}, {"surname": "Nooney", "name": "Tamsin", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nooney, Tamsin"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Norjoharuddeen", "name": "Nurfikri", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Norjoharuddeen, Nurfikri"}, {"surname": "Novgorodova", "name": "Olga", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Novgorodova, Olga"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Ntekas", "name": "Konstantinos", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Ntekas, Konstantinos"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nuti", "name": "Francesco", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nuti, Francesco"}, {"surname": "O Connor", "name": "Kelsey", "pid": [], "rank": 1857, "affiliation": [], "fullname": "O'connor, Kelsey"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1858, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Rourke", "name": "Abigail Alexandra", "pid": [], "rank": 1859, "affiliation": [], "fullname": "O'Rourke, Abigail Alexandra"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1860, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Obermann", "name": "Theresa", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Obermann, Theresa"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Ochoa-Ricoux", "name": "Juan Pedro", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Ochoa-Ricoux, Juan Pedro"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohman", "name": "Henrik", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Ohman, Henrik"}, {"surname": "Oide", "name": "Hideyuki", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Oide, Hideyuki"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Oleiro Seabra", "name": "Luis Filipe", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Oleiro Seabra, Luis Filipe"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onogi", "name": "Kouta", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Onogi, Kouta"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oppen", "name": "Henrik", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oppen, Henrik"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Otono", "name": "Hidetoshi", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Otono, Hidetoshi"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Oussoren", "name": "Koen Pieter", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Oussoren, Koen Pieter"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Rhys Edward", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Owen, Rhys Edward"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Pacheco Rodriguez", "name": "Laura", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Pacheco Rodriguez, Laura"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganini", "name": "Michela", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Paganini, Michela"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Palazzo", "name": "Serena", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Palazzo, Serena"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Palka", "name": "Marek", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Palka, Marek"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panagoulias", "name": "Ilias", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Panagoulias, Ilias"}, {"surname": "Pandini", "name": "Carlo Enrico", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pandini, Carlo Enrico"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Paolozzi", "name": "Lorenzo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paolozzi, Lorenzo"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Parker", "name": "Adam Jackson", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Parker, Adam Jackson"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parker", "name": "Kerry Ann", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Parker, Kerry Ann"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pascuzzi", "name": "Vincent", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pascuzzi, Vincent"}, {"surname": "Pasner", "name": "Jacob Martin", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Pasner, Jacob Martin"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearson", "name": "Benjamin", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Pearson, Benjamin"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedro", "name": "Rute", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Pedro, Rute"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Penc", "name": "Ondrej", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Penc, Ondrej"}, {"surname": "Peng", "name": "Cong", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Peng, Cong"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Peralva", "name": "Bernardo", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Peralva, Bernardo"}, {"surname": "Perego", "name": "Marta Maria", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Perego, Marta Maria"}, {"surname": "Perepelitsa", "name": "Dennis", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Perepelitsa, Dennis"}, {"surname": "Peri", "name": "Francesco", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Peri, Francesco"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrella", "name": "Sabrina", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Perrella, Sabrina"}, {"surname": "Peschke", "name": "Richard", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Peschke, Richard"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Petersen, Troels"}, {"surname": "Petit", "name": "Elisabeth", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Petit, Elisabeth"}, {"surname": "Petridis", "name": "Andreas", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Petridis, Andreas"}, {"surname": "Petridou", "name": "Chariclia", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Petridou, Chariclia"}, {"surname": "Petroff", "name": "Pierre", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Petroff, Pierre"}, {"surname": "Petrolo", "name": "Emilio", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Petrolo, Emilio"}, {"surname": "Petrov", "name": "Mariyan", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Petrov, Mariyan"}, {"surname": "Petrucci", "name": "Fabrizio", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Petrucci, Fabrizio"}, {"surname": "Pettersson", "name": "Nora Emilia", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Pettersson, Nora Emilia"}, {"surname": "Peyaud", "name": "Alan", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Peyaud, Alan"}, {"surname": "Pezoa", "name": "Raquel", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pezoa, Raquel"}, {"surname": "Phillips", "name": "Forrest Hays", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Phillips, Forrest Hays"}, {"surname": "Phillips", "name": "Peter William", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Pickering", "name": "Mark Andrew", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Pickering, Mark Andrew"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pilcher", "name": "James", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Pilcher, James"}, {"surname": "Pilkington", "name": "Andrew", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Pilkington, Andrew"}, {"surname": "Pin", "name": "Arnaud Willy J.", "pid": [], "rank": 1985, "affiliation": [], "fullname": "Pin, Arnaud Willy J"}, {"surname": "Pinamonti", "name": "Michele", "pid": [], "rank": 1986, "affiliation": [], "fullname": "Pinamonti, Michele"}, {"surname": "Pinfold", "name": "James", "pid": [], "rank": 1987, "affiliation": [], "fullname": "Pinfold, James"}, {"surname": "Pirumov", "name": "Hayk", "pid": 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[], "rank": 1822, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neumann", "name": "Manuel", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Neumann, Manuel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Ng", "name": "Tsz Yu", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Ng, Tsz Yu"}, {"surname": "Nguyen Manh", "name": "Tuan", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Nguyen Manh, Tuan"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Jon Kerr", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nilsen, Jon Kerr"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishu", "name": "Nishu", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nishu, Nishu"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nitsche", "name": "Isabel", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nitsche, Isabel"}, {"surname": "Nitta", "name": "Tatsumi", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nitta, Tatsumi"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Noguchi", "name": "Yohei", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Noguchi, Yohei"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nomura", "name": "Marcelo Ayumu", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nomura, Marcelo Ayumu"}, {"surname": "Nooney", "name": "Tamsin", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nooney, Tamsin"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Norjoharuddeen", "name": "Nurfikri", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Norjoharuddeen, Nurfikri"}, {"surname": "Novgorodova", "name": "Olga", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Novgorodova, Olga"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Ntekas", "name": "Konstantinos", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Ntekas, Konstantinos"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nuti", "name": "Francesco", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nuti, Francesco"}, {"surname": "O Connor", "name": "Kelsey", "pid": [], "rank": 1857, "affiliation": [], "fullname": "O'connor, Kelsey"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1858, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Rourke", "name": "Abigail Alexandra", "pid": [], "rank": 1859, "affiliation": [], "fullname": "O'Rourke, Abigail Alexandra"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1860, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Obermann", "name": "Theresa", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Obermann, Theresa"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Ochoa-Ricoux", "name": "Juan Pedro", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Ochoa-Ricoux, Juan Pedro"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohman", "name": "Henrik", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Ohman, Henrik"}, {"surname": "Oide", "name": "Hideyuki", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Oide, Hideyuki"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Oleiro Seabra", "name": "Luis Filipe", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Oleiro Seabra, Luis Filipe"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onogi", "name": "Kouta", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Onogi, Kouta"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oppen", "name": "Henrik", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oppen, Henrik"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Otono", "name": "Hidetoshi", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Otono, Hidetoshi"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Oussoren", "name": "Koen Pieter", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Oussoren, Koen Pieter"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Rhys Edward", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Owen, Rhys Edward"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Pacheco Rodriguez", "name": "Laura", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Pacheco Rodriguez, Laura"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganini", "name": "Michela", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Paganini, Michela"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Palazzo", "name": "Serena", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Palazzo, Serena"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Palka", "name": "Marek", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Palka, Marek"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panagoulias", "name": "Ilias", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Panagoulias, Ilias"}, {"surname": "Pandini", "name": "Carlo Enrico", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pandini, Carlo Enrico"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Paolozzi", "name": "Lorenzo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paolozzi, Lorenzo"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Parker", "name": "Adam Jackson", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Parker, Adam Jackson"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parker", "name": "Kerry Ann", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Parker, Kerry Ann"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pascuzzi", "name": "Vincent", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pascuzzi, Vincent"}, {"surname": "Pasner", "name": "Jacob Martin", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Pasner, Jacob Martin"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearson", "name": "Benjamin", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Pearson, Benjamin"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedro", "name": "Rute", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Pedro, Rute"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Penc", "name": "Ondrej", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Penc, Ondrej"}, {"surname": "Peng", "name": "Cong", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Peng, Cong"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Peralva", "name": "Bernardo", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Peralva, Bernardo"}, {"surname": "Perego", "name": "Marta Maria", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Perego, Marta Maria"}, {"surname": "Perepelitsa", "name": "Dennis", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Perepelitsa, Dennis"}, {"surname": "Peri", "name": "Francesco", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Peri, Francesco"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrella", "name": "Sabrina", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Perrella, Sabrina"}, {"surname": "Peschke", "name": "Richard", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Peschke, Richard"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Petersen, Troels"}, {"surname": "Petit", "name": "Elisabeth", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Petit, Elisabeth"}, {"surname": "Petridis", "name": "Andreas", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Petridis, Andreas"}, {"surname": "Petridou", "name": "Chariclia", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Petridou, Chariclia"}, {"surname": "Petroff", "name": "Pierre", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Petroff, Pierre"}, {"surname": "Petrolo", "name": "Emilio", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Petrolo, Emilio"}, {"surname": "Petrov", "name": "Mariyan", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Petrov, Mariyan"}, {"surname": "Petrucci", "name": "Fabrizio", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Petrucci, Fabrizio"}, {"surname": "Pettersson", "name": "Nora Emilia", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Pettersson, Nora Emilia"}, {"surname": "Peyaud", "name": "Alan", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Peyaud, Alan"}, {"surname": "Pezoa", "name": "Raquel", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pezoa, Raquel"}, {"surname": "Phillips", "name": "Forrest Hays", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Phillips, Forrest Hays"}, {"surname": "Phillips", "name": "Peter William", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Pickering", "name": "Mark Andrew", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Pickering, Mark Andrew"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pilcher", "name": "James", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Pilcher, James"}, {"surname": "Pilkington", "name": "Andrew", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Pilkington, Andrew"}, {"surname": "Pin", "name": "Arnaud Willy J.", "pid": [], "rank": 1985, "affiliation": [], "fullname": "Pin, Arnaud Willy J"}, {"surname": "Pinamonti", "name": "Michele", "pid": [], "rank": 1986, "affiliation": [], "fullname": "Pinamonti, Michele"}, {"surname": "Pinfold", "name": "James", "pid": [], "rank": 1987, "affiliation": [], "fullname": "Pinfold, James"}, {"surname": "Pirumov", "name": "Hayk", "pid": 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We have satellite images of disaster stricken areas such as refugee camps taken\u00a0at different times. We want to analyse or compare these images to see the progress of disaster relief operations or to measure level of severity in that particular area over a period of time. For example, if we have satellite images of refugee camps, we want to count shelters to see\u00a0if the number is\u00a0increasing or decreasing. In these days, UNOSAT has\u00a0staff dedicated to analyse and then classify objects in these images manually. This is an arduous task, takes a lot of time, inhibiting quick reaction from relief organizations.

\n\n

Conventionally, objects in images are identified by using color or shape features. But in our case, all objects such as shelters are arbitrary in shapes and color. Sometimes the background surface has the same color as the shelter. So, it is not possible to employ any conventional color or shape based image segmentation method.

\n\n

The solution we are proposing is \"Automated Feature Classification using Machine Learning\". My team at CERN openlab with UNOSAT are evaluating different machine learning based feature extraction algorithms.\u00a0Currently, we have evaluated Facebook's\u00a0DeepMask\u00a0and\u00a0SharpMask\u00a0object proposal techniques.

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"Neep", "name": "Thomas James", "pid": [], "rank": 1814, "affiliation": [], "fullname": "Neep, Thomas James"}, {"surname": "Negri", "name": "Andrea", "pid": [], "rank": 1815, "affiliation": [], "fullname": "Negri, Andrea"}, {"surname": "Negrini", "name": "Matteo", "pid": [], "rank": 1816, "affiliation": [], "fullname": "Negrini, Matteo"}, {"surname": "Nektarijevic", "name": "Snezana", "pid": [], "rank": 1817, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nellist", "name": "Clara", "pid": [], "rank": 1818, "affiliation": [], "fullname": "Nellist, Clara"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1819, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Michael Edward", "pid": [], "rank": 1820, "affiliation": [], "fullname": "Nelson, Michael Edward"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1821, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1822, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neumann", "name": "Manuel", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Neumann, Manuel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Ng", "name": "Tsz Yu", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Ng, Tsz Yu"}, {"surname": "Nguyen Manh", "name": "Tuan", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Nguyen Manh, Tuan"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Jon Kerr", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Nilsen, Jon Kerr"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishu", "name": "Nishu", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Nishu, Nishu"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nitsche", "name": "Isabel", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Nitsche, Isabel"}, {"surname": "Nitta", "name": "Tatsumi", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Nitta, Tatsumi"}, {"surname": "Nobe", "name": "Takuya", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Nobe, Takuya"}, {"surname": "Noguchi", "name": "Yohei", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Noguchi, Yohei"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nomura", "name": "Marcelo Ayumu", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Nomura, Marcelo Ayumu"}, {"surname": "Nooney", "name": "Tamsin", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Nooney, Tamsin"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Norjoharuddeen", "name": "Nurfikri", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Norjoharuddeen, Nurfikri"}, {"surname": "Novgorodova", "name": "Olga", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Novgorodova, Olga"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Ntekas", "name": "Konstantinos", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Ntekas, Konstantinos"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nuti", "name": "Francesco", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Nuti, Francesco"}, {"surname": "O Connor", "name": "Kelsey", "pid": [], "rank": 1857, "affiliation": [], "fullname": "O'connor, Kelsey"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1858, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Rourke", "name": "Abigail Alexandra", "pid": [], "rank": 1859, "affiliation": [], "fullname": "O'Rourke, Abigail Alexandra"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1860, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Obermann", "name": "Theresa", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Obermann, Theresa"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Ochoa", "name": "Ines", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Ochoa, Ines"}, {"surname": "Ochoa-Ricoux", "name": "Juan Pedro", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Ochoa-Ricoux, Juan Pedro"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohman", "name": "Henrik", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Ohman, Henrik"}, {"surname": "Oide", "name": "Hideyuki", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Oide, Hideyuki"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olariu", "name": "Albert", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Olariu, Albert"}, {"surname": "Oleiro Seabra", "name": "Luis Filipe", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Oleiro Seabra, Luis Filipe"}, {"surname": "Olivares Pino", "name": "Sebastian Andres", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Olivares Pino, Sebastian Andres"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Onofre", "name": "Anto\u0301nio", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Onofre, Ant\u00f3nio"}, {"surname": "Onogi", "name": "Kouta", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Onogi, Kouta"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oppen", "name": "Henrik", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Oppen, Henrik"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlando", "name": "Nicola", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Orlando, Nicola"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Otono", "name": "Hidetoshi", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Otono, Hidetoshi"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": "Ahmimed", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Ouraou, Ahmimed"}, {"surname": "Oussoren", "name": "Koen Pieter", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Oussoren, Koen Pieter"}, {"surname": "Ouyang", "name": "Qun", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Ouyang, Qun"}, {"surname": "Owen", "name": "Mark", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Owen, Mark"}, {"surname": "Owen", "name": "Rhys Edward", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Owen, Rhys Edward"}, {"surname": "Ozcan", "name": "Veysi Erkcan", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Ozcan, Veysi Erkcan"}, {"surname": "Ozturk", "name": "Nurcan", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Ozturk, Nurcan"}, {"surname": "Pachal", "name": "Katherine", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Pachal, Katherine"}, {"surname": "Pacheco Pages", "name": "Andres", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Pacheco Pages, Andres"}, {"surname": "Pacheco Rodriguez", "name": "Laura", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Pacheco Rodriguez, Laura"}, {"surname": "Padilla Aranda", "name": "Cristobal", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Padilla Aranda, Cristobal"}, {"surname": "Pagan Griso", "name": "Simone", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Pagan Griso, Simone"}, {"surname": "Paganini", "name": "Michela", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Paganini, Michela"}, {"surname": "Paige", "name": "Frank", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Paige, Frank"}, {"surname": "Palacino", "name": "Gabriel", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Palacino, Gabriel"}, {"surname": "Palazzo", "name": "Serena", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Palazzo, Serena"}, {"surname": "Palestini", "name": "Sandro", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Palestini, Sandro"}, {"surname": "Palka", "name": "Marek", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Palka, Marek"}, {"surname": "Pallin", "name": "Dominique", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Pallin, Dominique"}, {"surname": "Panagiotopoulou", "name": "Evgenia", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Panagiotopoulou, Evgenia"}, {"surname": "Panagoulias", "name": "Ilias", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Panagoulias, Ilias"}, {"surname": "Pandini", "name": "Carlo Enrico", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Pandini, Carlo Enrico"}, {"surname": "Panduro Vazquez", "name": "William", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Panduro Vazquez, William"}, {"surname": "Pani", "name": "Priscilla", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Pani, Priscilla"}, {"surname": "Panitkin", "name": "Sergey", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Panitkin, Sergey"}, {"surname": "Pantea", "name": "Dan", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Pantea, Dan"}, {"surname": "Paolozzi", "name": "Lorenzo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Paolozzi, Lorenzo"}, {"surname": "Papadopoulou", "name": "Theodora", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Papadopoulou, Theodora"}, {"surname": "Papageorgiou", "name": "Konstantinos", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Papageorgiou, Konstantinos"}, {"surname": "Paramonov", "name": "Alexander", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Paramonov, Alexander"}, {"surname": "Paredes Hernandez", "name": "Daniela", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Paredes Hernandez, Daniela"}, {"surname": "Parker", "name": "Adam Jackson", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Parker, Adam Jackson"}, {"surname": "Parker", "name": "Michael Andrew", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Parker, Michael Andrew"}, {"surname": "Parker", "name": "Kerry Ann", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Parker, Kerry Ann"}, {"surname": "Parodi", "name": "Fabrizio", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Parodi, Fabrizio"}, {"surname": "Parsons", "name": "John", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Parsons, John"}, {"surname": "Parzefall", "name": "Ulrich", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Parzefall, Ulrich"}, {"surname": "Pascuzzi", "name": "Vincent", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Pascuzzi, Vincent"}, {"surname": "Pasner", "name": "Jacob Martin", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Pasner, Jacob Martin"}, {"surname": "Pasqualucci", "name": "Enrico", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Pasqualucci, Enrico"}, {"surname": "Passaggio", "name": "Stefano", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Passaggio, Stefano"}, {"surname": "Pastore", "name": "Francesca", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Pastore, Francesca"}, {"surname": "Pataraia", "name": "Sophio", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Pataraia, Sophio"}, {"surname": "Pater", "name": "Joleen", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Pater, Joleen"}, {"surname": "Pauly", "name": "Thilo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Pauly, Thilo"}, {"surname": "Pearson", "name": "Benjamin", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Pearson, Benjamin"}, {"surname": "Pedraza Lopez", "name": "Sebastian", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Pedraza Lopez, Sebastian"}, {"surname": "Pedro", "name": "Rute", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Pedro, Rute"}, {"surname": "Peleganchuk", "name": "Sergey", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Peleganchuk, Sergey"}, {"surname": "Penc", "name": "Ondrej", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Penc, Ondrej"}, {"surname": "Peng", "name": "Cong", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Peng, Cong"}, {"surname": "Peng", "name": "Haiping", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Peng, Haiping"}, {"surname": "Penwell", "name": "John", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Penwell, John"}, {"surname": "Peralva", "name": "Bernardo", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Peralva, Bernardo"}, {"surname": "Perego", "name": "Marta Maria", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Perego, Marta Maria"}, {"surname": "Perepelitsa", "name": "Dennis", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Perepelitsa, Dennis"}, {"surname": "Peri", "name": "Francesco", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Peri, Francesco"}, {"surname": "Perini", "name": "Laura", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Perini, Laura"}, {"surname": "Pernegger", "name": "Heinz", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Pernegger, Heinz"}, {"surname": "Perrella", "name": "Sabrina", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Perrella, Sabrina"}, {"surname": "Peschke", "name": "Richard", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Peschke, Richard"}, {"surname": "Peshekhonov", "name": "Vladimir", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Peshekhonov, Vladimir"}, {"surname": "Peters", "name": "Krisztian", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Peters, Krisztian"}, {"surname": "Peters", "name": "Yvonne", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Peters, Yvonne"}, {"surname": "Petersen", "name": "Brian", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Petersen, Brian"}, {"surname": "Petersen", "name": "Troels", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Petersen, Troels"}, {"surname": "Petit", "name": "Elisabeth", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Petit, Elisabeth"}, {"surname": "Petridis", "name": "Andreas", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Petridis, Andreas"}, {"surname": "Petridou", "name": "Chariclia", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Petridou, Chariclia"}, {"surname": "Petroff", "name": "Pierre", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Petroff, Pierre"}, {"surname": "Petrolo", "name": "Emilio", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Petrolo, Emilio"}, {"surname": "Petrov", "name": "Mariyan", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Petrov, Mariyan"}, {"surname": "Petrucci", "name": "Fabrizio", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Petrucci, Fabrizio"}, {"surname": "Pettersson", "name": "Nora Emilia", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Pettersson, Nora Emilia"}, {"surname": "Peyaud", "name": "Alan", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Peyaud, Alan"}, {"surname": "Pezoa", "name": "Raquel", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Pezoa, Raquel"}, {"surname": "Phillips", "name": "Forrest Hays", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Phillips, Forrest Hays"}, {"surname": "Phillips", "name": "Peter William", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Phillips, Peter William"}, {"surname": "Piacquadio", "name": "Giacinto", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Piacquadio, Giacinto"}, {"surname": "Pianori", "name": "Elisabetta", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Pianori, Elisabetta"}, {"surname": "Picazio", "name": "Attilio", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Picazio, Attilio"}, {"surname": "Piccaro", "name": "Elisa", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Piccaro, Elisa"}, {"surname": "Pickering", "name": "Mark Andrew", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Pickering, Mark Andrew"}, {"surname": "Piegaia", "name": "Ricardo", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Piegaia, Ricardo"}, {"surname": "Pilcher", "name": "James", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Pilcher, James"}, {"surname": "Pilkington", "name": "Andrew", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Pilkington, Andrew"}, {"surname": "Pin", "name": "Arnaud Willy J.", "pid": [], "rank": 1985, "affiliation": [], "fullname": "Pin, Arnaud Willy J"}, {"surname": "Pinamonti", "name": "Michele", "pid": [], "rank": 1986, "affiliation": [], "fullname": "Pinamonti, Michele"}, {"surname": "Pinfold", "name": "James", "pid": [], "rank": 1987, "affiliation": [], "fullname": "Pinfold, James"}, {"surname": "Pirumov", "name": "Hayk", "pid": [], "rank": 1988, "affiliation": [], "fullname": "Pirumov, Hayk"}, {"surname": "Pitt", "name": "Michael", "pid": [], "rank": 1989, "affiliation": [], "fullname": "Pitt, Michael"}, {"surname": "Plazak", "name": "Lukas", "pid": [], "rank": 1990, "affiliation": [], "fullname": "Plazak, Lukas"}, {"surname": "Pleier", "name": "Marc-Andre", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Pleier, Marc-Andre"}, {"surname": "Pleskot", "name": "Vojtech", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Pleskot, Vojtech"}, {"surname": "Plotnikova", "name": "Elena", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Plotnikova, Elena"}, {"surname": "Pluth", "name": "Daniel", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Pluth, Daniel"}, {"surname": "Podberezko", "name": "Pavel", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Podberezko, Pavel"}, {"surname": "Poettgen", "name": "Ruth", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Poettgen, Ruth"}, {"surname": "Poggi", "name": "Riccardo", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Poggi, Riccardo"}, {"surname": "Poggioli", "name": "Luc", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Poggioli, Luc"}, {"surname": "Pohl", "name": "David-Leon", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Pohl, David-Leon"}, {"surname": "Polesello", "name": "Giacomo", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Polesello, Giacomo"}, {"surname": "Poley", "name": "Anne-Luise", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Poley, Anne-Luise"}, {"surname": "Policicchio", "name": "Antonio", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Policicchio, Antonio"}, {"surname": "Polifka", "name": "Richard", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Polifka, Richard"}, {"surname": "Polini", "name": "Alessandro", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Polini, Alessandro"}, {"surname": "Pollard", "name": "Christopher Samuel", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Pollard, Christopher Samuel"}, {"surname": "Polychronakos", "name": "Venetios", "pid": [], "rank": 2006, "affiliation": [], "fullname": "Polychronakos, Venetios"}, {"surname": "Pomme\u0300s", "name": "Kathy", "pid": [], "rank": 2007, "affiliation": [], "fullname": "Pomm\u00e8s, Kathy"}, {"surname": "Ponomarenko", "name": "Daniil", "pid": [], "rank": 2008, "affiliation": [], "fullname": "Ponomarenko, Daniil"}, {"surname": "Pontecorvo", "name": "Ludovico", "pid": [], "rank": 2009, "affiliation": [], "fullname": "Pontecorvo, Ludovico"}, {"surname": "Popeneciu", "name": "Gabriel Alexandru", "pid": [], "rank": 2010, "affiliation": [], "fullname": "Popeneciu, Gabriel Alexandru"}, {"surname": "Poppleton", "name": "Alan", "pid": [], "rank": 2011, "affiliation": [], "fullname": "Poppleton, Alan"}, {"surname": "Pospisil", "name": "Stanislav", "pid": [], "rank": 2012, "affiliation": [], "fullname": "Pospisil, 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These data are those presented in Forrester and Pinfield 2015 Scientific Reports paper on soft acoustic metamaterials. The data are the results of simulations based on multiple scattering models. These were carried out in MATLAB using code based on the ultrasound scattering models described in the paper.

The zip file contains 22 Excel spreadsheets relating to the figures in the paper. Some are labelled by figure number, and others by the system simulated.

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The dataset includes 44852 records from 405 constituent datasets: \n 3 records from Bioimages. \n 4 records from CBDC: Cumbria Wildlife Trust: survey records from 1970 - 2007 of County Wildlife Sites.. \n 1 records from Merseyside BioBank (unverified). \n 2 records from NBIS Records to December 2016. \n 142 records from Marie-Victorin Herbarium (MT) - Plantes vasculaires. \n 1 records from OEH Atlas of NSW Wildlife. \n 76 records from University of British Columbia Herbarium (UBC) - Vascular Plant Collection. \n 376 records from Phanerogamic Botanical Collections (S). \n 71 records from Jordal. \n 3 records from University of Vienna, Institute for Botany - Herbarium WU. \n 11 records from Database of Vascular Plants of Himalaya. \n 4 records from Isle of Man wildlife records from 01/01/2000 to 13/02/2017. \n 217 records from Vascular Plants, Field notes, Agder naturmuseum (KMN). \n 5 records from IAC - Herb\u00e1rio do Instituto Agron\u00f4mico de Campinas. \n 568 records from Naturalis Biodiversity Center (NL) - Botany. \n 3 records from PlutoF platform observations. \n 2 records from SP - Herb\u00e1rio do Estado \"Maria Eneyda P. Kaufmann Fidalgo\" - Cole\u00e7\u00e3o de Faner\u00f3gamas. \n 57 records from Plant Specimen from Herbarium (HIB) in China, Wuhan Botanical Garden, Chinese Academy of Sciences. \n 17 records from Plant Specimen in Yunnan, China from Herbarium (PE),Institute of Botany, Chinese Academy of Sciences. \n 18 records from SANT Herbarium vascular plants collection. \n 8 records from Harriet Irving Botanical Gardens (HIBG). \n 5 records from Species plots from the Norwegian Vegetation Mapping Programme. \n 1 records from Sistematizaci\u00f3n de la colecci\u00f3n entomol\u00f3gica y actualizaci\u00f3n de la colecci\u00f3n del herbario CHIP del Instituto de Historia Natural y Ecolog\u00eda (IHNE), Chiapas. \n 316 records from Vascular plants in Denmark recorded under the The Nationwide Monitoring and Assessment Programme for the Aquatic and Terrestrial Environments (NOVANA). \n 45 records from Karplanter i vernet barskog og edell\u00f8vskog. \n 10 records from University of Alberta Vascular Plant Herbarium (ALTA-VP). \n 125 records from Some Plant Specimens from KUN, IBSC, NAS Herbarium in China from 1900 to 1950. \n 204 records from Plant Specimen from Herbarium (CDBI) in China, Chengdu Institute of Botany, Chinese Academy of Sciences. \n 845 records from Florabank1 - A grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region). \n 74 records from RECORD Vascular Plant Data. \n 100 records from The digitization of plant specimens of NTU. \n 1 records from Local Wildlife Site Surveys Berkshire. \n 37 records from Phytochorologie des d\u00e9partements fran\u00e7ais. \n 107 records from BioFokus. \n 155 records from Herbier Louis-Marie (QFA) - Collection de plantes vasculaires. \n 17 records from Vascular plant herbarium, Agder naturmuseum og botaniske hage. \n 8 records from Cat\u00e1logo electr\u00f3nico de espec\u00edmenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV. \n 32 records from Inventaire National du Patrimoine Naturel : CBN Aquitaine-Poitou-Charentes. \n 105 records from Dutch Foundation for Applied Water Research (STOWA) - Limnodata Neerlandica. \n 3407 records from Artportalen (Swedish Species Observation System). \n 135 records from Plant Specimen Database of Tama Forest Science Garden, Forestry and Forest Products Research Institute, Japan. \n 3 records from Flora of S\u0142owi\u0144ski National Park, Poland. \n 6 records from MBM - Herb\u00e1rio do Museu Bot\u00e2nico Municipal. \n 6 records from Stabbetorp - Floristiske registreringer 2016. \n 6 records from Herbario Museo de La Salle Bogot\u00e1 (BOG). \n 3 records from Miscellaneous records held on the Cofnod database. \n 1 records from River Macrophytes Database. \n 3 records from Gothenburg Herbarium - Types (GBIF:IH:GB:Herbarium). \n 6 records from Inventaire National du Patrimoine Naturel : Flore du Limousin. \n 38 records from Oskarshamn herbarium (OHN). \n 311 records from Donn\u00e9es ONF Faune-Flore-Fonge. \n 2 records from Tallinn Botanic Garden. \n 15 records from Norwegian Biodiversity Information Centre - Other datasets. \n 14 records from Australia's Virtual Herbarium. \n 467 records from CSIC-Real Jard\u00edn Bot\u00e1nico-Anthos. Sistema de Informaci\u00f3n de las Plantas de Espa\u00f1a. \n 3 records from Herbier de Strasbourg. \n 207 records from Vascular Plant Herbarium, UiB. \n 29 records from DBG Kathryn Kalmbach Herbarium. \n 27 records from Banco de Germoplasma del Jard\u00edn Bot\u00e1nico Atl\u00e1ntico. \n 2 records from Hertfordshire Flora Survey Records 1987-2005. \n 3 records from Natural History Museum Maastricht (NL) - Herbarium. \n 659 records from Consortium of California Herbaria. \n 34 records from NRW Regional Data: all taxa (excluding sensitive species), West Wales. \n 504 records from iNaturalist Research-grade Observations. \n 17 records from UCBG TAPIR Provider. \n 1 records from Commissioned surveys and staff surveys and reports for Scottish Wildlife Trust reserves - Unassessed data. \n 55 records from ARKO strandeng. \n 68 records from CONN. \n 2 records from HUCS - Herb\u00e1rio da Universidade de Caxias do Sul. \n 39 records from Other BSBI Scottish data up to 2012. \n 21 records from Butler University Friesner Herbarium (BUT). \n 1 records from Merseyside BioBank Active Naturalists (unverified). \n 7 records from McGill University Herbarium Database. \n 59 records from University of Lethbridge Herbarium (LEA). \n 7 records from LSU Shirley C. Tucker Herbarium at Louisiana State University - Vascular Plants. \n 16 records from Estonian Museum of Natural History. \n 1 records from Cat\u00e1logo electr\u00f3nico de espec\u00edmenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV. \n 1 records from Collection botanique Le Grand A. (BOUM). \n 13 records from NINA botanical collection. \n 4 records from National Trust Species Records. \n 321 records from UAM Herbarium (ALA), Vascular Plant Collection (Arctos). \n 10 records from Finnish Floristic Database (Small Collections). \n 101 records from Estonian University of Life Sciences. \n 536 records from Plant Specimen from Herbarium (NAS) in China, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences. \n 1 records from Hochschulgel\u00e4nde (Bremen). \n 3 records from Fungus Collections at Staatliches Museum f\u00fcr Naturkunde Karlsruhe (Herbarium KR). \n 2 records from Paul-Gerhardt-Schule Dassel. \n 1 records from Urwald 3 (Bad Waldsee). \n 1 records from Warnowtal (Rostock). \n 1 records from Sudeniederung (Amt Neuhaus). \n 1 records from Kaltenkirchen Brache. \n 1 records from Tiere und Pflanzen am Pfannenbach. \n 1 records from Schulgel\u00e4nde Paul-Gerhardt-Schule. \n 1 records from VFD-RP: Taunus: Kirchenweide K\u00f6pplers. \n 1 records from Weinberg Reichersdorf. \n 19 records from Inventaire National du Patrimoine Naturel : CBN Brest. \n 1 records from Tag der Artenvielfalt in Heidelberg. \n 24 records from Herbarium specimens of Soci\u00e9t\u00e9 des Sciences Naturelles et Math\u00e9matiques de Cherbourg (CHE). \n 1 records from VFD-RP: Taunus: M\u00e4hweide Dehe. \n 735 records from Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria. \n 2 records from Sammlung altes Gartenherbar Herbarium Hamburgense HBG. \n 30 records from OAC-BIO Herbarium. \n 24 records from Yorkshire Wildlife Trust - Non-sensitive records from all taxonomic groups. \n 7 records from Naturhistorisches Museum Mainz, Feldbeobachtungsdaten Pflanzen. \n 12 records from SEWBReC Vascular Plants (South East Wales). \n 331 records from naturgucker. \n 3 records from Standing Waters Database - Scotland. \n 1 records from Schulaktion des Dienzenhofer-Gymnasiums. \n 1 records from Donauinsel des BN bei Entau. \n 2 records from Vascular Plants Collection of National Museum of Nature and Science. \n 2428 records from Dutch Vegetation Database (LVD). \n 1392 records from INPN - Donn\u00e9es flore des CBN agr\u00e9g\u00e9es par la FCBN. \n 17 records from NZ National Vegetation Survey occurrence data. \n 7 records from The Fungal Collection at the Senckenberg Museum f\u00fcr Naturkunde G\u00f6rlitz. \n 19 records from Herbario XAL del Instituto de Ecolog\u00eda, A.C., M\u00e9xico (IE-XAL). \n 9 records from Herbario IEB del Instituto de Ecolog\u00eda, A.C., M\u00e9xico (IE-BAJ\u00edO). \n 3 records from CeDoc de Biodiversitat Vegetal: BCN-Seeds. \n 120 records from Vascular plant specimens of Akita Prefectural Museum. \n 13 records from Jardin botanique de Montr\u00e9al (JBM). \n 86 records from FKSE-Herbarium specimens of Faculty of Symbiotic Systems Science, Fukushima University, Japan. \n 68 records from Royal Botanic Garden Edinburgh Living Plant Collections (E). \n 170 records from Angiospermatatophytina Collection of Saitama Museum of Natural History. \n 10 records from Plant (KIWE-PL). \n 20 records from Plant (JNHM-PL). \n 1 records from Plant (MNHM-PL). \n 3 records from Plant (NHMC-PL). \n 6 records from Plant (GFEI-PL). \n 42 records from Plant (NSMK-PL). \n 1 records from Plant (NHMK-PL). \n 2 records from Herbaria of the University and ETH Z\u00fcrich. \n 8 records from Tiroler Landesmuseum Ferdinandeum. \n 12 records from The Vascular Plant Collection at the Botanische Staatssammlung M\u00fcnchen. \n 70 records from IBF Monitoring of Vascular Plants. \n 1 records from Inventario flor\u00edstico de los cerros San Mart\u00ed y El Patol en el semidesierto queretano. \n 1 records from Vascular plant specimens of Iida City Museum. \n 183 records from Tropicos Specimen Data. \n 3 records from BRERC species records recorded over 15 years ago. \n 1 records from Naturhistorisches Museum Mainz, Botanical Collection. \n 1 records from Botanical Research Intitute of Texas. \n 24 records from Natural History Museum (London) Collection Specimens. \n 18 records from Cat\u00e1logo Flor\u00edstico Hist\u00f3rico de Navarra. Gobierno de Navarra. \n 6 records from Natural History Museum, Vienna - Herbarium W. \n 384 records from Waarnemingen.be - Non-native plant occurrences in Flanders and the Brussels Capital Region, Belgium. \n 270 records from NatureServe Network Species Occurrence Data. \n 3 records from An\u00e1lisis de la heterogeneidad ambiental y conectividad de las \u00e1reas naturales del sur del Valle de M\u00e9xico. \n 2 records from Base de datos del Herbario de la Unidad Acad\u00e9mica de Agronom\u00eda de la Universidad Aut\u00f3noma de Zacatecas. \n 5 records from Flora-On: occurrence data of the flora of mainland Portugal. \n 3 records from An\u00e1lisis de la heterogeneidad ambiental y conectividad de las \u00e1reas naturales del sur del Valle de M\u00e9xico_1. \n 6 records from Colecci\u00f3n cient\u00edfica del Museo de Historia Natural Alfredo Dug\u00e9s. \n 3 records from Plant Specimens of Oiso Municipal Museum. \n 50 records from Plant specimens of Hokkaido University Museum. \n 20 records from Vascular Plant Collection of Natural History Museum and Institute, Chiba. \n 127 records from Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan. \n 11 records from Universidad de Barcelona. Grup dInvestigaci\u00f3 Geobot\u00e1nica i Cartografia de la Vegetaci\u00f3. \n 2 records from KNWR Herbarium Collection. \n 11 records from Botanical specimens database of Mr. Jiro Ito collection, Shizuoka Prefecture Museum of Natural History. \n 7 records from Dataflos. \n 173 records from Ibaraki Nature Museum, Vascular Plants collection. \n 4 records from Leiner-Herbar Konstanz. \n 16 records from Survey and monitoring records for Scottish Wildlife Trust reserves from reserve convenors and Trust volunteers - Unassessed data. \n 130 records from NMNH Extant Specimen Records. \n 50 records from The Himalayan Uplands Plant database (HUP Version 1). \n 5 records from Botanical Garden Collection. \n 4 records from Korean Ethnobotany Database. \n 4 records from Factual Database of Native Flora Seeds in Korea. \n 21 records from Canadian Museum of Nature Herbarium. \n 253 records from Vascular Plant Collection - University of Washington Herbarium (WTU). \n 5 records from Fairchild Tropical Botanic Garden Virtual Herbarium Darwin Core format. \n 74 records from Herbarium (ICEL). \n 17 records from Herbarium (AMNH). \n 787 records from Observational database of Icelandic plants. \n 20 records from Colecci\u00f3n de plantas vasculares del herbario de la Universitat de Val\u00e8ncia (VAL).. \n 33 records from Herbario de Plantas Vasculares de la Universidad de Salamanca: SALA. \n 114 records from CSIC-Real Jard\u00edn Bot\u00e1nico-Colecci\u00f3n de Plantas Vasculares (MA). \n 2 records from Universidad del Pa\u00ed\u00ads Vasco/EHU, Bilbao: Herbario BIO. \n 20 records from Universidad de Oviedo. Departamento de Biolog\u00eda de Organismos y Sistemas: FCO. \n 5 records from Herbario EMMA. Herbario de la Escuela T\u00e9cnica Superior de Ingenieros de Montes. UPM. \n 15 records from Herbario de la Universidad de Sevilla. \n 3 records from Herbario de la Universidad de Sevilla, SEV-Historico. \n 3 records from Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Gobierno de Extremadura. \n 13 records from Institut Botanic de Barcelona, BC. \n 22 records from Auckland Museum Botany Collection. \n 6 records from Botanic Garden of the Finnish Museum of Natural History. \n 9 records from Herbarium of Jyv\u00e4skyl\u00e4 University Museum. \n 2 records from Plant in Baekdu Mountain (KIDR-PL). \n 7 records from Royal Botanical Gardens Herbarium. \n 78 records from New Zealand Virtual Herbarium. \n 6 records from DAO Herbarium Type Specimens. \n 2 records from herbario. \n 1 records from Vascular Plants Collection of National Museum of Nature and Science. \n 300 records from Plant Specimens of Kurashiki Museum of Natural History. \n 44 records from Herbarium Specimens of Tokushima Prefectural Museum, Japan. \n 9 records from Herbarium of Kitakyushu Museum of Natural History and Human History. \n 288 records from Vascular Plant Collection. \n 3 records from Arizona State University Vascular Plant Herbarium. \n 2 records from University of Copenhagen Arboretum. \n 2 records from Botany registration database by Danish botanists. \n 36 records from Herbarium Faeroense. \n 11 records from Botanical Museum, Copenhagen. Database of type specimens. \n 180 records from DAV UC Davis Center for Plant Diversity. \n 14 records from Herbarium (UNA). \n 3 records from MEXU/Tipos de plantas vasculares. \n 20 records from Actualizaci\u00f3n de las bases de datos del Herbario XAL. Fase III. \n 1 records from Flora exsiccata Bavarica. \n 1 records from GEO Biodiversity Day. \n 50 records from Herbarium Berolinense. \n 33 records from Staatliches Museum f\u00fcr Naturkunde Stuttgart, Herbarium. \n 18 records from Observations du Conservatoire botanique national du Bassin parisien.. \n 1 records from Biologiezentrum Linz. \n 5 records from Herbarium Senckenbergianum G\u00f6rlitz (GLM). \n 52 records from United States National Plant Germplasm System Collection. \n 1 records from The System-wide Information Network for Genetic Resources (SINGER). \n 2 records from The Erysiphales Collection at the Botanische Staatssammlung M\u00fcnchen. \n 1 records from The Erysiphales Collection at the University Halle-Wittenberg. \n 105 records from Nordic Genetic Resources. \n 40 records from USU-UTC Specimen Database. \n 7 records from Universidad Polit\u00e9cnica de Madrid, Dpto. Biolog\u00eda Vegetal, Banco de Germoplasma. \n 4 records from Institut Botanic de Barcelona, BC-Hist\u00f3rico. \n 3 records from Herbarium de Geo. B. Hinton, M\u00e9xico. \n 6 records from Plant Specimens of Lake Biwa Museum. \n 82 records from Angiosperm specimens of Iwate Prefectural Museum. \n 77 records from Vascular Plants Collection of Sagamihara City Museum. \n 204 records from Harvard University Herbaria. \n 5 records from Vascular plants of south-central China. \n 124 records from Specimen Database of Colorado Vascular Plants. \n 10 records from Visual Plants (144.41.33.158) - Botanical garden, University of Hohenheim, Germany. \n 1 records from Herbarium BSG Vascular Plants. \n 3 records from inatura - Erlebnis Naturschau Dornbirn. \n 2 records from Inventaire National du Patrimoine Naturel : Programme national esp\u00e8ces v\u00e9g\u00e9tales de la Directive Habitat. \n 109 records from EURISCO, The European Genetic Resources Search Catalogue. \n 184 records from Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Prefecture, Japan. \n 7 records from Plant Specimens of Taga Town Museum, Shiga Pref., Japan. \n 259 records from Plant specimens depodited in Osaka Museum of Natural History, Japan.. \n 39 records from Kochi Prefectural Makino Botanical Garden. \n 20 records from Plant Specimens of The Shimane Nature Museum of Mt. Sanbe. \n 2 records from PlantBank Records. \n 1 records from SER Site-based Surveys. \n 2 records from Biodiversit\u00e4tsdatenbank des Landes Salzburg. \n 2 records from Repatriaci\u00f3n de datos del Herbario de Arizona (ARIZ). \n 2 records from Vascular Plants, Observations, Oslo (O). \n 25 records from Oklahoma Vascular Plants Database Provider. \n 1 records from Schlichemquelle (Tieringen/Me\u00dfstetten). \n 1 records from Zuk\u00fcnftiges NSG H\u00f6ftland/Bockholmwik. \n 1 records from NSG H\u00fclenbuch H\u00f6rnle (Tieringen/Me\u00dfstetten). \n 1 records from Neckartals\u00fcdhang (Horb). \n 1 records from GEO-Hauptveranstaltung (Insel Vilm). \n 1 records from BUND - Dassower See (L\u00fcbeck/Dassow). \n 1 records from Sudeniederung (Amt Neuhaus), Landkreis L\u00fcneburg. \n 1 records from 20 Jahre Naturschutzgebiet Dreienberg. \n 1 records from Heinersdorfer Sumpfwiese. \n 1 records from Wismar Bucht coast-watching. \n 1 records from Stadtgebiet (Dannenberg). \n 1 records from Bergkamen- Bergehalde Gro\u00dfes Holz. \n 1 records from Tiergarten Straubing. \n 1 records from Wupperaue bei Kemna (Wuppertal). \n 2 records from Naturerlebnisraum Koppelsberg. \n 126 records from Plantae, TAIF (Taiwan e-Learning and Digital Archives Program, TELDAP). \n 775 records from Atlas Flora Danica. \n 18 records from Scottish SNH-funded BSBI records. \n 18 records from Herbarium of Namur. \n 35 records from Natural History Museum, University of Tartu. \n 19 records from Herbarium of Ume\u00e5 University (UME). \n 86 records from Base de datos de plantas vasculares del Pa\u00eds Vasco: ARAN-EH. \n 31 records from Field Museum of Natural History (Botany) Seed Plant Collection. \n 10 records from NRW Regional Data: North Wales. \n 41 records from MPM Milwaukee Public Museum Herbarium. \n 8 records from Polish gene bank \u2013 passport data of plants accessions which are important in human life. \n 3 records from Belgian IFBL Flora Checklists (1939-1971). \n 59 records from Inventaire National du Patrimoine Naturel : Flore Franco-Belge. \n 1 records from Sp\u00e9cimens d'herbiers de G. Fenoul (FEN). \n 1 records from Westerw\u00e4lder Umwelt- und Naturschutztag an der Fuchskaute im Westerwald. \n 1 records from Auenwiesen und Trockenrasen. \n 73 records from Colorado State University Herbarium. \n 15 records from EKY_Darwincore. \n 16 records from MISS_DC_01MAR2006. \n 37 records from NCSU_Darwincore. \n 73 records from R. L. McGregor Herbarium Vascular Plants Collection. \n 1 records from Herbario de la Universidad P\u00fablica de Navarra, Pamplona: UPNA-H. \n 629 records from Vascular Plant Specimen Database of Kanagawa Prefectural Museum of Natural History. \n 160 records from Gunma Museum of Natural History, Vascular Plant Specimen. \n 1273 records from Plant. \n 1 records from Jard\u00edn Bot\u00e1nico Atl\u00e1ntico, Gij\u00f3n: JBAG. \n 2 records from MGC Herbarium of University of Malaga (Spain): MGC-Cormof dataset. \n 11 records from Biological and palaeontological collection and observation data MNHNL. \n 64 records from Botany Division, Yale Peabody Museum. \n 1 records from VFD-RP, Taunus: Bergweide Dehe. \n 10 records from Herbarium Senckenbergianum (FR). \n 19 records from Universidad de Oviedo. Departamento de Biolog\u00eda de Organismos y Sistemas: FCO-Briof. \n 52 records from Database of Native Plants in Taiwan. \n 4 records from Flora (vascular) y fauna (aves) de los Parques Nacionales del estado de Baja California: Constituci\u00f3n de 1857 y Sierra San Pedro M\u00e1rtir. \n 8 records from Plant of Folklore (KIDR-PL). \n 38 records from Herbarium of Taiwan Forestry Research Institute. \n 11 records from Herbarium specimens of the Mus\u00e9um d'Histoire Naturelle of Aix-en-Provence (AIX). \n 9 records from Etapa final de la captura y catalogaci\u00f3n del Herbario del Instituto de Ecolog\u00eda, AC, Centro Regional del Baj\u00edo. \n 4 records from Plant - Seed (KIDR-PL). \n 5 records from Banco de datos flor\u00edsticos del Herbario CHAP. \n 25 records from Monitoring records of plant species in the Hakone region of Fuji-Hakone-Izu National Park, Japan, 2001-2010. \n 1 records from WII Herbarium Dataset. \n 24 records from National vegetation diversity inventory and mapping plan. \n 13 records from VIT Herbarium - Vascular Plants (The Natural History Museum of Alava). \n 1 records from Vascular Herbarium, NMBU. \n 67 records from National Wetland Inventory (NV). \n 1002 records from FloraCAT: Banco de datos de los corm\u00f3fitos de Catalu\u00f1a. \n 1 records from Herbarium specimens, Harmas J.H. Fabre (FABR - S\u00e9rignan-du-Comtat) of the Mus\u00e9um national d'Histoire naturelle (MNHN - Paris). \n 1329 records from Flora d'Andorra. \n 4 records from National System of Protected Areas in Poland - Plants. \n 4 records from Rotherham Biological Records Centre - Non-sensitive Records from all taxonomic groups. \n 1 records from ArtenFinder. \n 262 records from Lund Botanical Museum (LD). \n 48 records from Natural Resources Wales Regional Data : Mid-Wales. \n 3 records from VegetWeb - Repositorium von Vegetationsaufnahmen a. \n 2 records from University of South Florida Herbarium (USF). \n 13 records from Plant Specimen from Herbarium (LBG) in China, Lushan Botanical Garden, Jiangxi and Chinese Academy of Sciences. \n 1530 records from Norwegian Species Observation Service. \n 5 records from Vascular Plants, Museum of Archaeology, University of Stavanger. \n 37 records from Plant Specimen from Herbarium (IBK) in China, Guangxi Institute of Botany, Chinese Academy of Sciences. \n 1349 records from The vascular plants collection (P) at the Herbarium of the Mus\u00e9um national d'Histoire Naturelle (MNHN - Paris). \n 12 records from LERN Records. \n 5 records from SBT-Living. \n 87 records from Hatikka Observation Database. \n 2 records from The Vascular Plants Collection of the University of Goettingen. \n 1 records from University of Florida Herbarium (FLAS). \n 12 records from Bernice P. Bishop Museum. \n 35 records from Carnet en Ligne. \n 3 records from ENDEMIC SPECIES RESEARCH INSTITUTE\uff08Herbarium\uff09. \n 11 records from Seed collection \u2013 Dead seeds for evaluation and observation purposes. \n 8 records from ARKO kulturmarkseng. \n 102 records from Royal Botanic Garden Edinburgh Herbarium (E). \n 1 records from All observations extracted from the Flora of Northumberland and Durham 1831. \n 121 records from Waarnemingen.be - Plant occurrences in Flanders and the Brussels Capital Region, Belgium. \n 52 records from Michigan State University Herbarium Vascular Plants. \n 2 records from Estudio flor\u00edstico de la Sierra de Pachuca, Hidalgo, M\u00e9xico. \n 250 records from Botany (UPS). \n 6 records from Museu de Ci\u00e8ncies Naturals de Barcelona: BGJBB. \n 17 records from Merseyside BioBank (verified). \n 2 records from Type herbarium, G\u00f6ttingen (GOET). \n 39 records from Herbier du Qu\u00e9bec (QUE) - Collection de plantes vasculaires. \n 51 records from Herbarium Specimens of Bonin and Ryukyu Islands. \n 5 records from Flora of Worcestershire. \n 7 records from Computarizaci\u00f3n del Herbario ENCB. Fase I (Base de datos de los ejemplares del Valle de M\u00e9xico). \n 4 records from University of British Columbia Botanical Garden Collections (UBCBG). \n 3 records from PlutoF platform reference-based occurrences. \n 54 records from Herbarium specimens of Universit\u00e9 de Montpellier 2, Institut de Botanique (MPU)). \n 937 records from Finnish Floristic Database (Literature Sources). \n 1 records from Base de datos computarizada del herbario CIB, Instituto de Investigaciones Biol\u00f3gicas, Universidad Veracruzana. \n 3 records from Institut Menorqu\u00ed d'Estudis. Colecci\u00f3n Hist\u00f3rica de Rodr\u00edguez Femen\u00edas, Herbarium Generale Minoricae: HGM-Femenias. \n 50 records from Royal Botanic Gardens, Kew - Herbarium Specimens. \n 3 records from Verneplan Hjerkinn karplanter. \n 128 records from Vascular plant herbarium, Troms\u00f8 Museum. \n 178 records from Vascular plant herbarium, NTNU University Museum. \n 311 records from Donn\u00e9es ONF Faune-Flore-FOnge. \n 96 records from Institute of Ecology and Evolutionary Biology, National Taiwan University. \n 1563 records from Vascular Plants, Field notes, Oslo (O). \n 211 records from The New York Botanical Garden Herbarium (NY) - Vascular Plant Collection. \n 822 records from Sistema de Informaci\u00f3n de la vegetaci\u00f3n Ib\u00e9rica y Macaron\u00e9sica. \n 12 records from Distribution of Higher Plants in Greater Manchester. \n 283 records from Vegetation data from protected areas in Denmark (\u00a7 3 in the Danish Nature Protection Act). \n 311 records from Donn\u00e9es ONF Faune-Flore-FOnge. \n 2 records from Wilson Botanical Garden - Las Cruces Biological Station. \n 25 records from Ecofact. \n 11 records from Green Plant Herbarium (TRT). \n 7 records from Inventaire National du Patrimoine Naturel : Flore du Massif Armoricain. \n 121 records from Gothenburg Herbarium - General (GBIF:IH:GB:Herbarium). \n 3 records from Plant Observation Records of Japan. \n 645 records from Floristic Databases of Mecklenburg-Pomerania - Higher Plants. \n 40 records from Herbarium specimens of Herbiers Universitaires de Clermont-Ferrand (CLF). \n 39 records from Allan Herbarium (CHR). \n 1 records from IRAI - Herb\u00e1rio do Parque da Ci\u00eancia Newton Freire Maia. \n 90 records from SysTax - Botanical Gardens. \n 1 records from Herbarium specimens of CBNA (GAP). \n 2 records from Korean Peninsula Flora. \n 1 records from Gipuzkoako Foru Aldundiaren Landareen Germoplama Bankua / Banco de Germoplasma Vegetal de la Diputaci\u00f3n Foral de Gipuzkoa. \n 1 records from CZE National PGR Inventory. \n 13 records from Tracheophyta collection of Biodiversity Center of Japan, Ministry of Environment. \n 2 records from Digitization of plant specimens from Rhoen and Vogelsberg (FULD). \n 356 records from Vascular Plant Herbarium, Oslo (O). \n 5 records from Herbarium specimens of Jardins botaniques and Conservatoire Botanique of Nancy (NCY). \n 2 records from Natural History Museum Rotterdam (NL) - Plantae collection. \n 3 records from Environmental Monitoring Database Species data 1987 to 2015. \n 2429 records from Flora von Deutschland (Phanerogamen). \n 5 records from Suffolk Biodiversity Information Service (SBIS) Dataset. \n 3 records from WTSWW Data: All Taxa (West Wales). \n 38 records from E. C. Smith Herbarium (ACAD). \n 1 records from Propuesta para sistematizar la colecci\u00f3n palinol\u00f3gica de polen reciente y f\u00f3sil del IGLUNAM. \n 21 records from BUT Friesner Herbarium. \n 2 records from Natagriwal ; Observations made from operations within Natura 2000 habitats and other semi-natural areas. \n 1 records from Sistematizaci\u00f3n del Herbario Nacional Forestal Bi\u00f3l Luciano Vela G\u00e1lvez. \n 1 records from SWECO. \n 5 records from Herbario de Plantas Vasculares de la Asociaci\u00f3n BIGA para el estudio del patrimonio natural de Galicia: FBIGA. \n 2 records from Herbarium Erlangense. \n 1 records from Fusi\u00f3n y actualizaci\u00f3n de las bases de datos del Herbario de la Facultad de Ciencias, UNAM (FCME), Guerrero. \n 2 records from National Trust for Scotland Species Records. \n 516 records from Vascular plant field notes, NTNU University Museum. \n 1 records from Vascular plants in Danish coastal meadows. \n 2768 records from Finnish Floristic Database (Finnish Museum of Natural History Collections). \n 25 records from Geneva Herbarium \u2013 General Collection (G). \n 3 records from Welsh BSBI data (ex-VPDB dataset) at hectad resolution. \n 3 records from Nijmegen Natural History Museum (NL) - Herbarium. \n 5 records from BRERC species records within last 15 years. \n 130 records from Some Plant Specimens from PE Herbarium in China from 1900 to 1950. \n 115 records from CAS Botany (BOT). \n 1 records from University of Graz, Institute of Plant Sciences - Herbarium GZU. \n 3 records from National Museum of Natural Science. \n 2 records from Herbarium specimens of Limoges university (LIMO). \n 4 records from PACA-AGP - Herbarium Anchieta. 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Semi-quantitative qPCR data of the titration study to assess the degree of miRNA expression after various dosages of miR-mimic oligonucleotide (n =\u20092 per dose). For each miRNA the level of overexpression was determined either 1 week after receiving a 150, 75 or 15 pmol dose (green dots), or after 48 h (blue squares) when receiving either a 15 pmol dose (miR-142a-5, miR-146a-5p), or a 1.5\u20130.0015 pmol dose (all others). As expected, overexpression levels of miR-142a-5p and miR-146a-5p are higher 48 h than 1 week after infusion. Fold changes per dose are expressed in comparison to the expression levels of the miRNA in negative control infused mice (see Methods). 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A measurement of the cross section for the production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The results are based on an integrated luminosity of 4.6 fb-1 collected with the ATLAS detector at the LHC. The cross section is measured as a function of photon pseudorapidity and transverse energy in the kinematic range between 100 GeV and 1000 GeV and in the regions of pseudorapidity less than 1.37 and between 1.52 and 2.37. The results are compared to leading-order parton-shower Monte Carlo models and next-to-leading-order perturbative QCD calculations. 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Het aangetroffen materiaal is namelijk vrij beperkt ten opzichte van nederzettingskernen als bekend uit andere donkopgravingen in de regio. Wel toont het aangetroffen materiaal duidelijk aan dat er bewoning van de donk heeft plaatsgevonden ten tijde van de neolithische Swifterbant-cultuur, en wel meer specifiek in de fase Hazendonk 2 (ca. 4000-3700 cal BC). Het grotendeels verbrande botafval en de aardewerkscherven met aankoeksel kunnen eenduidig als keukenafval worden geïnterpreteerd, terwijl de (micro)debitage en de aanwezigheid van een kern op lokale vuursteenbewerking\nwijst. De vondst van een pijlspits wijst erop dat er jacht zal hebben plaatsgevonden en de vondst van enkele krabbers wijst mogelijk op de bewerking van huiden, e.d.\nDe vindplaats is met name interessant omdat juist de Hazendonk 2-fase nog weinig onderzocht is. 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De verspreiding van vondsten beperkt zich tot 5-6 m uit het zuiden van de put. Dit betekent dat de diepere delen van de donkflank archeologisch niet interessant blijken. 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cultuur","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Oral history","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Temporal coverage: 1934-2010","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Social sciences","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Humanities","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}}],"title":[{"value":"Javanen in Diaspora, interview met Samingat","qualifier":{"classid":"main title","classname":"main 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Ik kom uit een gezin van drie. Van het ouderlijk gezin ben ik alleen naar Indonesië gekomen, omdat ik ben meegenomen door degene die mij heeft opgevoed: een 'jaji' (scheepsgenoot) van mijn ouders. \n \n
Ik ben tot en met de derde klas van de lagere school naar school geweest. Mijn ouders stuurden mij niet van harte naar school. Waarom zou je naar school gaan, 'namat' (districtshoofd) wordt je toch niet, zo werd er gedacht.  De overheid in Suriname dwingt je om naar school te gaan, de politie kon op je af worden gestuurd. Dat was een donkere man, ik was bang voor hem. \n \n

Toen wij aankwamen in Tongar was dit allemaal rimboe. Ik was 26, dus heb ik meegeholpen aan het openkappen van het bos. Mijn ouders wilden huilen, maar hielden zich in. Ze geneerden zich ervoor. Ik kon niet huilen. Er waren mensen die helemaal in de war raakten. Pak Samingoen bijvoorbeeld  en Pak Wongso ook. Pak Wongso was een rijke handelaar geweest in Suriname, hij hoorde tot de ervaren mensen. Je zou kunnen zeggen dat de stress toesloeg. \n \nDe eerste maand kregen wij rantsoen van de Stichting en begonnen we aan het openmaken van het bos. Toen wij konden beginnen met planten, probeerden wij rijst. Niet op een 'sawa' (rijstveld), maar op droge grond. De 'bibit' (plantjes) kochten wij in Pasaman. Het planten ging niet met de ploeg, maar met de 'cangkul'  (houweelachtig gereedschap om de grond om te woelen). Hoeveel kon je uit een oogst halen? Niet veel, maar het was beter dan niets. Zij die ervaring hadden, zochten hun geluk ergens anders, maar mensen zoals ik die niets konden laten zien, waren gedoemd om in Tongar te blijven. \n \n
Volgens de belofte zouden wij per gezin 5 hectare grond krijgen. Die grond hebben wij van de voorouders van de mensen van dit gebied gehad. Ze hebben ons goed ontvangen. Ze hebben een 'kersouw' voor ons geslacht . Sutan Laut Api was het hoofd van hier en Pak Hatta was gekomen voor de plechtigheid. Ik heb 2 hectare gehad. Wat er met de rest van de grond is gebeurd, weet ik niet. Er is wel 1500 hectare Stichtingsgrond hier in Tongar. Of het verkocht, verhuurd of weggegeven is, weet niemand. Ik heb mijn grond verdeeld onder de kinderen om er een huis op te bouwen. Dat laat ik voor hen achter en voor mijn kleinkinderen. \n \n
Ik heb geen contact meer met mijn ouders en broers in Suriname. Het contact was eigenlijk al voor mijn vertrek vanuit Suriname verbroken, omdat zij zich hadden aangesloten bij de andere partij, de KTPI. De partijpolitiek was erg confronterend in die tijd. Men maakte zich kwaad over dingen die over en weer van elkaar werden gezegd. Zo zei men: ‘Als het de PBIS lukt om naar Indonesië te gaan, dan zal ik naakt op straat lopen’. Als ik er aan denk, voel ik me droevig dat het zo is gegaan met de familie, maar er is geen weg terug. Wat heeft het voor zin om spijt te hebben, terwijl je het niet meer goed kunt maken. Je kunt het vergelijken met een vogel die zijn vleugels niet meer heeft, maar nog graag wil vliegen. 
 \n \nIk was vroeger een 'pelawak' (clown, grappenmaker) en speelde ook de rol van Semar bij 'wajang wong' (toneel met spelers en dansers).  Ik leerde het van de ouderen die hun kennis hadden meegenomen uit Java. Het Javaans wordt nog gesproken in Suriname, er zijn mensen die het ook 'halus' (verfijnd, beleefd) kunnen spreken. \n \n
In Suriname was destijds de Javaanse cultuur niet verloren gegaan. Je had veel 'kumpulan kesenian' (kunstgezelschappen). Er is daar nog 'wajang', hier niet. 'Ludruk'-groepen (volkstoneel) waren er ook. Vroeger oefenden wij niet elke dag, maar een keer per week of een keer in de maand. 'Orang negro' (Creolen) waren er ook die meededen en die ook van 'wajang' hielden. Er waren zelfs 'orang belanda' (Nederlanders) die 'wajang' konden spelen.  Tot de jaren ’70 van de vorige eeuw was er hier in Tongar ook nog 'ludruk', maar dat is er nu niet meer. Hier speelde ik ook, de mensen vonden het leuk als ik op het toneel verscheen als 'lawaai' (clown, grappenmaker). \n \n
Ik heb 11 kinderen en volgens mij heb ik bij elkaar 20 kleinkinderen. Mijn kinderen kunnen allemaal Javaans spreken, enkelen zelfs ook het fijne Javaans (hoog-Javaans), maar de kleinkinderen niet meer. Die leren al van kleinsaf 'Bahasa Indonesia' (het 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E.M. ten","name":"E. M. Ten","surname":"Broeke","rank":1,"pid":[],"affiliation":[]}],"resulttype":{"classid":"dataset","classname":"dataset","schemeid":"dnet:result_typologies","schemename":"dnet:result_typologies"},"language":{"classid":"nl","classname":"nl","schemeid":"dnet:languages","schemename":"dnet:languages"},"country":[],"subject":[{"value":"Infrastructuur - Kanaal/vaarweg (IKAN)","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Nieuwe tijd: 1500 - heden (NT)","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Archaeology","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}}],"title":[{"value":"Archeologisch bureauonderzoek en gecombineerd verkennend en karterend booronderzoek Hoofdstraat 79 te Apeldoorn in de gemeente Apeldoorn","qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}}],"relevantdate":[],"description":[{"value":"Gespecificeerde archeologische verwachting\nUit het bureauonderzoek blijkt dat het plangebied een landschappelijke ligging heeft op een relatief hooggelegen en van west naar oost (flauw) hellende daluitspoelingswaaier. In de omgeving van het plangebied komen van zuidwest naar noordoost lopende dalvormige laagten voor, met daarin beekdalen zoals het ten zuiden/zuidoosten van het plangebied gelegen beekdal van De Grift. De van nature voldoende gedraineerde gronden van de daluitspoelingswaaier zullen in principe al voor Jagers-Verzamelaars (Laat-Paleolithicum en Mesolithicum) een gunstige ligging hebben gehad als tijdelijke nederzettingslocatie (jachtkampementen). Vanaf het Neolithicum zal het plangebied ook geschikt zijn geweest als nederzettingslocatie voor Landbouwers. Met het ontstaan van Apeldoorn gaat het plangebied deel uitmaken van deze (laat)middeleeuwse dorpskern. Geraadpleegd historisch kaartmateriaal geeft aan dat door het noordwestelijke deel de blusbeek de Leigraaf heeft gelopen. Tijdens de bouw van de direct ten westen van het plangebied gelegen Oranjerie is een deel van de gedempte blusbeek de Leigraaf aangetroffen, met in het dempingsmateriaal vooral Nieuwe tijd resten.\n\nHet plangebied heeft een middelhoge verwachting voor het aantreffen van archeologische resten van Jagers-Verzamelaars en laatprehistorische Landbouwers (Laat-Paleolithicum t/m Romeinse tijd), maar verwacht wordt dat eventueel aanwezige resten uit deze perioden reeds verstoord/vergraven zijn tijdens bewerking van de bodem in de Middeleeuwen/Nieuwe tijd. Juist vanwege de ligging van het plangebied binnen de (laat)middeleeuwse dorpskern van Apeldoorn is de kans hoog op het voor-komen van resten uit de (Late-)Middeleeuwen en Nieuwe tijd. Archeologische resten uit deze perioden werden verwacht in de bewerkte grond/oude woongrond. Voor het uiterst noordwestelijke deel van het plangebied werd specifiek dempingsmateriaal verwacht. Te verwachten archeologische resten zijn voornamelijk aardewerkfragmenten. \n\nResultaten inventariserend veldonderzoek\nUit de resultaten van het inventariserend veldonderzoek (IVO, verkennende fase direct gecombineerd met de karterende fase) blijkt dat binnen het plangebied de bodemopbouw, onder de aanwezige klin-kerverharding en cunet-/stabilisatiezand, tussen gemiddeld 40 en 150 cm -mv uit geroerde/verstoorde lagen bestaat. Mogelijk betreft het deels gestort humeus zand of plaggendek als ophogingslaag. De samenstelling van de geroerde/verstoorde lagen kunnen in het algemeen beschreven worden als donkerzwartgrijs tot beigebruin gekleurd, zwak tot sterk humeus, zwak grindig, zwak tot sterk siltig, matig grof zand. De onverstoorde bodem betreft direct de C-horizont, bestaande uit witbeige gekleurd, zwak grindig, zwak siltig, matig fijn tot matig grof zand. Het oorspronkelijke moedermateriaal betreft daluitspoelingswaaierafzettingen (sneeuwsmeltwaterafzettingen). De slechte sortering en het voorkomen van grind en zijn hiervoor kenmerkend. Het bevestigt de ligging van het plangebied binnen een daluitspoelingswaaier. Wat de oorspronkelijke bodemopbouw binnen het plangebied is geweest wordt op basis van de boringen niet duidelijk, aangezien restanten hiervan niet zijn aangetroffen.\n\nDoor de ligging van het plangebied binnen de historische kern van Apeldoorn zullen bodemverstoringen ingrepen ook hebben plaatsgevonden mogelijk al vanaf het einde van de Late-Middeleeuwen en zeker in de Nieuwe tijd. (Sub)recentelijk zijn ook bodemverstorende ingrepen uitgevoerd, vanwege de vele aangetroffen resten baksteen en bouwpuin van (sub)recente ouderdom (19e/20e eeuw). \n\nVoor het noordwestelijke deel van het plangebied, daar waar de blusbeek de Leigraaf heeft gelegen, betreft het geroerde/verstoorde deel van de bodem waarschijnlijk dempingsmateriaal. In het onderste deel van het dempingsmateriaal zijn een fragment roodbakkend geglazuurd aardewerk en een pij-pensteeltje aangetroffen, daterend uit de 18e/19e eeuw. Deze resten zijn vergelijkbaar met eerder aangetroffen resten door de AWA tijdens de bouw van de Oranjerie. De voormalige loop van de blus-beek de Leigraaf, door het noordwestelijke deel van het plangebied, lijkt hiermee te worden bevestigd. Verder zijn er geen archeologische resten aangetroffen die duiden op de aanwezigheid van een archeologische vindplaats ouder dan Nieuwe tijd.\n\nConclusie\nIn principe kan geconcludeerd worden dat er sprake is van een archeologische vindplaats in het noordwestelijke deel van het plangebied, daar waar een deel van de gedempte sloot/watergang van de blusbeek de Leigraaf ligt. De gespecificeerde archeologische verwachting, zoals die is weergegeven tijdens het bureauonderzoek, wordt voor dit deel van het plangebied door het booronderzoek dan ook bevestigd. Indien er door de voorgenomen ingreep (uitbreiding van een winkelpand) graafwerkzaamheden worden uitgevoerd tot in/op het gele zand (top van de C-horizont), dan zal de gedempte sloot/watergang (het dempingsmateriaal en bodem van de sloot/watergang) worden ver-stoord/weggegraven. Hierbij dient opgemerkt worden dat het oppervlak van het terreindeel waar een deel van de voormalige sloot/watergang van de Leigraaf ligt, naar verwachting vrij beperkt zal zijn. Tevens is de slootdemping (en daarmee ook de contouren van de Leigraaf) op een hoger niveau aanwezig. Aanvullend onderzoek is al noodzakelijk indien de graafwerkzaamheden dieper reiken dan onderkant bouwvoor.\n \nVoor het overige deel/merendeel van het plangebied wordt geconcludeerd dat er, vanwege de recent verstoorde bodemopbouw (op basis van de bijmenging van recent bouwpuin en baksteen) en het verder ontbreken van archeologisch relevante indicatoren, geen aanleiding meer is voor de aanwezigheid van een archeologische vindplaats.\n\nSelectieadvies\nOp grond van de resultaten van het inventariserend veldonderzoek geldt in principe het advies om voor het noordwestelijke deel van het plangebied een vervolgonderzoek te laten uitvoeren. Behoud van de vermoedelijk aanwezige archeologische vindplaats, in de vorm een restant van een deel van de loop van de blusbeek de Leigraaf, zal niet mogelijk zijn bij een niet aangepaste uitvoering van de huidige plannen (graafwerkzaamheden tot aan de huidige top van de C-horizont/verwijderen van de humeuze bovenlaag, ten behoeve van de aanleg van de fundering en nutsvoorzieningen). Vanwege de naar verwachting beperkte oppervlakte waar een deel van de voormalige loop van de blusbeek zal liggen, en de huidige situatie van het plangebied en de directe omgeving, kan als alternatief beter gekozen worden voor een archeologische begeleiding van de 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ArcheoProjecten","name":"Archeoprojecten","surname":"Adc","rank":1,"pid":[],"affiliation":[]},{"fullname":"Lil, R. van","name":"R.","surname":"Lil","rank":2,"pid":[],"affiliation":[]}],"resulttype":{"classid":"dataset","classname":"dataset","schemeid":"dnet:result_typologies","schemename":"dnet:result_typologies"},"language":{"classid":"nl","classname":"nl","schemeid":"dnet:languages","schemename":"dnet:languages"},"country":[],"subject":[{"value":"Archeologisch: bureauonderzoek","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}},{"value":"Archaeology","qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}}],"title":[{"value":"Roermond Steenweg 14 BO","qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"","inferenceprovenance":"","provenanceaction":{"classid":"","classname":"","schemeid":"","schemename":""}}}],"relevantdate":[],"description":[{"value":"In opdracht van de heer F. Curvers heeft ADC ArcheoProjecten een bureauonderzoek uitgevoerd voor het plangebied Steenweg 14 in Roermond. In het plangebied zal een aanbouw bij een winkelpand worden gerealiseerd. Het onderzoek is uitgevoerd om te bepalen of de nieuwbouw een bedreiging kan vormen voor archeologische resten in de ondergrond.\n\nHet onderzoek heeft uitgewezen dat in het plangebied behoudenswaardige bewoningsresten uit de late Middeleeuwen en de Nieuwe tijd verwacht kunnen worden. De verwachte resten bestaan uit grondsporen van laatmiddeleeuwse houtbouw, afvalkuilen, water- en beerputten, gemetselde muurtjes, greppels en overblijfselen van ambachtelijke activiteiten. Deze resten kunnen in het hele plangebied worden aangetroffen in en onder ophogingslagen. De dikte van deze lagen en daarmee de diepteligging van de archeologische resten is in dit stadium nog niet bekend. Naast laatmiddeleeuwse en nieuwetijdse bewoningresten is ook de aanwezigheid van bewonings- of resten van begravingen uit pre- of protohistorische perioden niet uitgesloten.\n\nADC ArcheoProjecten adviseert om een inventariserend veldonderzoek uit te voeren door middel van het aanleggen van proefsleuven (IVO-P), teneinde de aanwezigheid, gaafheid, omvang, datering en conservering van archeologische resten te onderzoeken. Gezien de beperkte omvang van het plangebied kan de proefsleuf het gehele oppervlak van het plangebied beslaan. Na een evaluatie van de resten die tijdens dit onderzoek worden aangetroffen kan het bevoegd gezag besluit nemen omtrent de vervolgstappen. Deze kunnen bestaan uit behoud van de resten in de bodem (behoud in situ) of het opgraven van de aanwezige resten. Voorafgaand aan een dergelijk onderzoek moet een Programma van Eisen worden geschreven waarin de exacte invulling van de werkzaamheden is omschreven. Ten behoeve van het PvE is het raadzaam om in eerste instantie een booronderzoek uit te voeren om de dikte en opbouw van het vrijwel zeker aanwezige pakket aan ophogingslagen vast te 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set up a data archive in which old, current and future data can be brought together, and to set new standards for future data collection. This will broaden and redefine the research agenda in language and speech pathology and the emphasis on a multitude of data will trigger multidisciplinary studies. The research groups involved have agreed to continue their efforts to create the VALID data archive and are supported by their research institutes. All data sets will be available for other researchers and additional research.;\n ;\n ;\n ;Frog story - The children were asked to flip through all pictures in the book before starting their narration. This was done to give them an overall idea of what was coming in order not to overload working memory when actually performing the narrative task itself. The experimenter then labeled the boy, the dog and the frog, and pointed at them. She then asked the children to look at the pictures again in sequence and while so doing to tell the story in their own words. She pretended to not know the story and made it clear that she could not see the pictures in the book herself. Feedback was given as little as possible. To be sure that the story had been well understood by the children, some comprehension questions were asked afterwards. All children were able to answer these questions. ;Aim data collection: Finding out whether there is a link between executive function and language, both in children with ADHD and in children with SLI. All tests are performed by 26 children diagonosed with ADHD (combined and mainly hyperactive impulsive subtypes) and two control groups, consisting of 22 normal developing children, 19 children with SLI. All children in the age range 7;0-8;11, 81% male and 19% female. Two types of test are distinguished, language tasks and neuro-psychological tasks. LANGUAGE TASKS: (1) NARRATIVE TASK: written scriptlog accounts of frog story (2) REPETITION TASK: Sentence imitation task (ZIT) and non-word repetition task. (3) LANGUAGE QUESTIONNAIRE: children communication checklist-II (Bishop (2003)) NEURO-PSYCHOLOGICAL TASKS: 6 tests from the CANTAB testing battery: (1) MOT (control test), (2) BLC (control test), (3) SST, (4) SWM, (5) SOC, (6) IED and one non-verbal fluency test: 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The construction is symmetric with respect to the throat. We present a general formalism for the study of the mechanical stability under perturbations preserving the circular symmetry of the configurations, adopting a linearized equation of state for the exotic matter at the throat. 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Signaling by HAE/HSL2 leads to expression of genes encoding secreted cell wall remodeling and hydrolase enzymes. hae hsl2 mutants fail to induce expression of these genes and retain floral organs indefinitely. Mutants in the gene NEVERSHED (NEV) also fail to abscise floral organs and phenotypically resemble hae hsl2. NEV encodes an ADP-ribosylation factor GTPase-activating protein that localizes to the trans-Golgi network and early endosome. nev displays altered Golgi morphology and aberrations in vesicular trafficking. The mechanism by which nev fails to abscise is presently unknown. It has been hypothesized that nev fails to activate HAE/HSL2 signaling. In this study we use RNA-Sequencing to test this hypothesis. Results We show that the transcriptional alterations in hae hsl2 and nev are highly divergent. hae hsl2 displays a clear reduction in expression of genes associated with cell wall remodeling and pectin degradation, while nev displays vast transcriptional changes associated with response to pathogens. These results suggest that the mechanism of the defect between hae hsl2 and nev are distinct."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["10.6084/m9.figshare.c.4277162"], "contactperson": [], "source": [], "context": [], 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However, the ways in which condom use peer norms and self-efficacy play a role in the association between community engagement and condom use is unclear. This study examines the potential mediating roles of peer norms and self-efficacy in this association. Methods A nationwide cross-sectional online survey was conducted among Chinese MSM in 2015. Recruitment criteria included being born biologically male, being older than 16 years, having had anal sex with a man at least once during their lifetime, and having had condomless anal or vaginal sex in the past three months. Mplus 6.11 was used to conduct confirmatory factor analysis and path modeling analysis to examine the structural relationships between HIV/sexual health community engagement (e.g., joining social media and community events related to HIV and sexual health services), condom use peer norms, condom use self-efficacy, and frequency of condom use. Results The study found that HIV/sexual health community engagement, condom use peer norms, condom use self-efficacy, and frequency of condom use were mutually correlated. A good data model was achieved with fit index: CFI = 0.988, TLI = 0.987, RMSEA = 0.032, 90% CI (0.028, 0.036). HIV/sexual health community engagement was associated with frequency of condom use, which was directly mediated by condom use peer norms and indirectly through self-efficacy. Conclusion The study suggests that condom use peer norms and self-efficacy may be mediators in the pathway between community engagement and condom use, and suggests the importance of peer-based interventions to improve condom use."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, 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However, the ways in which condom use peer norms and self-efficacy play a role in the association between community engagement and condom use is unclear. This study examines the potential mediating roles of peer norms and self-efficacy in this association. Methods A nationwide cross-sectional online survey was conducted among Chinese MSM in 2015. Recruitment criteria included being born biologically male, being older than 16 years, having had anal sex with a man at least once during their lifetime, and having had condomless anal or vaginal sex in the past three months. Mplus 6.11 was used to conduct confirmatory factor analysis and path modeling analysis to examine the structural relationships between HIV/sexual health community engagement (e.g., joining social media and community events related to HIV and sexual health services), condom use peer norms, condom use self-efficacy, and frequency of condom use. Results The study found that HIV/sexual health community engagement, condom use peer norms, condom use self-efficacy, and frequency of condom use were mutually correlated. A good data model was achieved with fit index: CFI = 0.988, TLI = 0.987, RMSEA = 0.032, 90% CI (0.028, 0.036). HIV/sexual health community engagement was associated with frequency of condom use, which was directly mediated by condom use peer norms and indirectly through self-efficacy. Conclusion The study suggests that condom use peer norms and self-efficacy may be mediators in the pathway between community engagement and condom use, and suggests the importance of peer-based interventions to improve condom use."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, 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"2018-07-31T04:46:36.445Z", "fulltext": [], "dateoftransformation": "2020-03-11T05:07:06.916Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "\"In diesem Discussion Paper wird im ersten Teil das Forschungsprogramm der Abteilung 'Kulturelle Quellen von Neuheit' entwickelt, im zweiten Teil folgen kurze Beschreibungen von insgesamt neun Projekten. Neuheit, so die zugrundeliegende Annahme des Forschungsprogramms, bildet den Kern von Innovationen und entsteht aus kulturellen Quellen, die als kulturelle Konfigurationen analysiert werden. Die Relevanz dieser kulturellen Konstellationen f\u00fcr das Innovationsgeschehen - im Unterschied zu technischen oder politischen Aspekten - ist der Gegenstand der Forschung. Dabei gelten drei Prozesse als entscheidend f\u00fcr die Qualit\u00e4t und Anschlussf\u00e4higkeit von Innovationen: 1) die st\u00e4ndige Variation kultureller Selbstverst\u00e4ndlichkeiten, 2) Prozesse der Bewertung als Neuheit und 3) Spannungszust\u00e4nde, die in und zwischen Kulturen auftreten. Das Zusammenspiel dieser drei Prozesse, so die These, bestimmt das Spektrum und die Reichweite der Innovationen. Die empirischen Felder des Forschungsprogramms sind aus der r\u00e4umlichen, interaktiven und zeitlichen Dimensionierung kultureller Konfigurationen hergeleitet. In jedem der Felder untersuchen die Projekte Ph\u00e4nomene unterschiedlicher Gr\u00f6\u00dfenordnung.\" (Autorenreferat)\n\"The discussion paper develops, in its first part, the research program of the unit. The second\npart of the paper presents six projects, as well as two dissertations linked to the program.\nIt is assumed that newness is at the core of innovations and emerges in cultural configurations\nwhich are identified as cultural sources. The relevance of such cultural factors, as\nopposed to the influence of technical or political aspects, is the focus of research. Three\nkinds of processes determine the quality and the connectivity of innovations: 1) the\ncontinuous variation of shared cultural semantics and practices, 2) processes of evaluating\nnewness and 2) states of tension in and between cultures. The interplay of these three\nprocesses, it is argued, determines the spectrum and the spread of successful innovations.\nThe empirical streams of the research program are deduced from the spatial, interactive and\ntemporal dimension of cultural configurations. 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"value": "Abstract Background Perfect and low cost of fungal amylolytic and cellulolytic enzymes are prerequisite for the industrialization of plant biomass biorefinergy to biofuels. Genetic engineering of fungal strains based on regulatory network of transcriptional factors (TFs) and their targets is an efficient strategy to achieve the above described aim. Talaromyces pinophilus produces integrative amylolytic and cellulolytic enzymes; however, the regulatory mechanism associated with the expression of amylase and cellulase genes in T. pinophilus remains unclear. In this study, we screened for and identified novel TFs regulating amylase and/or cellulase gene expression in T. pinophilus 1-95 through comparative transcriptomic and genetic analyses. Results Comparative analysis of the transcriptomes from T. pinophilus 1-95 grown on media in the presence and absence of glucose or soluble starch as the sole carbon source screened 33 candidate TF-encoding genes that regulate amylase gene expression. Thirty of the 33 genes were successfully knocked out in the parental strain T. pinophilus \u2206TpKu70, with seven of the deletion mutants firstly displaying significant changes in amylase production as compared with the parental strain. Among these, \u2206TpRfx1 (TpRfx1: Talaromyces pinophilus Rfx1) showed the most significant decrease (81.5%) in amylase production, as well as a 57.7% reduction in filter paper cellulase production. Real-time quantitative reverse transcription PCR showed that TpRfx1 dynamically regulated the expression of major amylase and cellulase genes during cell growth, and in vitro electrophoretic mobility shift assay revealed that TpRfx1 bound the promoter regions of genes encoding \u03b1-amylase (TP04014/Amy13A), glucoamylase (TP09267/Amy15A), cellobiohydrolase (TP09412/cbh1), \u03b2-glucosidase (TP05820/bgl1), and endo-\u03b2-1,4-glucanase (TP08514/eg1). TpRfx1 protein containing a regulatory factor X (RFX) DNA-binding domain belongs to RFX family. Conclusion We identified a novel RFX protein TpRFX1 that directly regulates the expression of amylase and cellulase genes in T. pinophilus, which provides new insights into the regulatory mechanism of fungal amylase and cellulase gene expression."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": 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Methods: The nomogram was developed on a set of 320 Italian patients and validated on two independent sets (295 Italian and 172 Korean patients). Putative prognostic variables were selected using a random forest model and included in the multivariable Cox model. The nomogram\u2019s performance was evaluated by calibration plot and C index. Results: ECOG performance status, neutrophils to lymphocytes ratio, and peritoneal involvement were selected and included into the multivariable model. The C index was 0.72 (95% CI 0.68\u20130.75) in the development set, 0.69 (95% CI 0.65\u20130.73) in the Italian validation set, but only 0.57 (95% CI 0.52\u20130.62) in the Korean set. While Italian calibrations were quite good, the Korean one was poor. Regarding 6-month OS predictions, calibration was best in both Caucasian cohorts and worst the in Asian one. Conclusions: Our nomogram may be a useful tool to predict 3- or 6-month OS in Caucasian gastric cancer patients eligible for second-line therapy. 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"value": "Abstract Background Perfect and low cost of fungal amylolytic and cellulolytic enzymes are prerequisite for the industrialization of plant biomass biorefinergy to biofuels. Genetic engineering of fungal strains based on regulatory network of transcriptional factors (TFs) and their targets is an efficient strategy to achieve the above described aim. Talaromyces pinophilus produces integrative amylolytic and cellulolytic enzymes; however, the regulatory mechanism associated with the expression of amylase and cellulase genes in T. pinophilus remains unclear. In this study, we screened for and identified novel TFs regulating amylase and/or cellulase gene expression in T. pinophilus 1-95 through comparative transcriptomic and genetic analyses. Results Comparative analysis of the transcriptomes from T. pinophilus 1-95 grown on media in the presence and absence of glucose or soluble starch as the sole carbon source screened 33 candidate TF-encoding genes that regulate amylase gene expression. Thirty of the 33 genes were successfully knocked out in the parental strain T. pinophilus \u2206TpKu70, with seven of the deletion mutants firstly displaying significant changes in amylase production as compared with the parental strain. Among these, \u2206TpRfx1 (TpRfx1: Talaromyces pinophilus Rfx1) showed the most significant decrease (81.5%) in amylase production, as well as a 57.7% reduction in filter paper cellulase production. Real-time quantitative reverse transcription PCR showed that TpRfx1 dynamically regulated the expression of major amylase and cellulase genes during cell growth, and in vitro electrophoretic mobility shift assay revealed that TpRfx1 bound the promoter regions of genes encoding \u03b1-amylase (TP04014/Amy13A), glucoamylase (TP09267/Amy15A), cellobiohydrolase (TP09412/cbh1), \u03b2-glucosidase (TP05820/bgl1), and endo-\u03b2-1,4-glucanase (TP08514/eg1). TpRfx1 protein containing a regulatory factor X (RFX) DNA-binding domain belongs to RFX family. Conclusion We identified a novel RFX protein TpRFX1 that directly regulates the expression of amylase and cellulase genes in T. pinophilus, which provides new insights into the regulatory mechanism of fungal amylase and cellulase gene expression."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": 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"", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2019-01-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::9e3be59865b2c1c335d32dae2fe7b254", "value": "Datacite"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0022", "classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract We applied the epidemic type aftershock sequence (ETAS) model, the two-stage ETAS model and the non-stationary ETAS model to investigate the detailed features of the series of earthquake occurrences before and after the M6.7 Hokkaido Eastern Iburi earthquake on 6 September 2018, based on earthquake data from October 1997. First, after the 2003 M8.0 Tokachi-Oki earthquake, seismic activity in the Eastern Iburi region reduced relative to the ETAS model. During this period, the depth ranges of the seismicity were migrating towards shallow depths, where a swarm cluster, including a M5.1 earthquake, finally occurred in the deepest part of the range. This swarm activity was well described by the non-stationary ETAS model until the M6.7 main shock. The aftershocks of the M6.7 earthquake obeyed the ETAS model until the M5.8 largest aftershock, except for a period of several days when small, swarm-like activity was found at the southern end of the aftershock region. However, when we focus on the medium and larger aftershocks, we observed quiescence relative to the ETAS model from 8.6\u00c2 days after the main shock until the M5.8 largest aftershock. For micro-earthquakes, we further studied the separated aftershock sequences in the naturally divided aftershock volumes. We found that the temporal changes in the background rate and triggering coefficient (aftershock productivity) in respective sub-volumes were in contrast with each other. In particular, relative quiescence was seen in the northern deep zones that includes the M5.8 largest aftershock. Furthermore, changes in the b-values of the whole aftershock activity showed an increasing trend with respect to the logarithm of elapsed time during the entire aftershock period, which is ultimately explained by the spatially different characteristics of the aftershocks."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2019-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": 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A possible option to improve the autonomic control is the inspiratory muscle training (IMT). The aim of this study was to systematically review the available literature about the effects of this training modality on autonomic control. A search was performed for controlled and randomized clinical trials on database MEDLINE, PEDro, SciELO and LILACS by two independent reviewers, who also evaluated the methodologic quality (PEDro scale). 181 articles were found and, after elegibility criteria analysis, four studies were included. The included studies showed good methodological quality and assessed the effect of IMT on the autonomic control of participants with risk factors for cardiovascular disease. The autonomic control was evaluated by heart rate variability (HRV) analysis and by noradrenaline plasma levels. The IMT improved autonomic control in 3 studies, reducing the sympathetic nervous system (noradrenaline plasma levels; LF nu - HRV) and increasing the vagal nervous system (HF un - HRV). 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[{"surname": "Moskalev", "name": "Alexey", "pid": [], "rank": 1, "affiliation": [], "fullname": "Moskalev, Alexey"}, {"surname": "Shaposhnikov", "name": "Mikhail", "pid": [], "rank": 2, "affiliation": [], "fullname": "Shaposhnikov, Mikhail"}, {"surname": "Zemskaya", "name": "Nadezhda", "pid": [], "rank": 3, "affiliation": [], "fullname": "Zemskaya, Nadezhda"}, {"surname": "Belyi", "name": "Alexey", "pid": [], "rank": 4, "affiliation": [], "fullname": "Belyi, Alexey"}, {"surname": "Dobrovolskaya", "name": "Eugenia", "pid": [], "rank": 5, "affiliation": [], "fullname": "Dobrovolskaya, Eugenia"}, {"surname": "Patova", "name": "Anna", "pid": [], "rank": 6, "affiliation": [], "fullname": "Patova, Anna"}, {"surname": "Guvatova", "name": "Zulfiya", "pid": [], "rank": 7, "affiliation": [], "fullname": "Guvatova, Zulfiya"}, {"surname": "Lukyanova", "name": "Elena", "pid": [], "rank": 8, "affiliation": [], "fullname": "Lukyanova, Elena"}, {"surname": "Snezhkina", "name": "Anastasiya", "pid": [], "rank": 9, "affiliation": [], "fullname": "Snezhkina, Anastasiya"}, {"surname": "Kudryavtseva", "name": "Anna", "pid": [], "rank": 10, "affiliation": [], "fullname": "Kudryavtseva, Anna"}], "contactgroup": [], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::55045bd2a65019fd8e6741a755395c8c", "value": "Unknown Repository"}, "accessright": {"classid": "UNKNOWN", "classname": "UNKNOWN", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://creativecommons.org/licenses/by/4.0"}, "url": ["http://dx.doi.org/10.6084/m9.figshare.c.4001994.v1"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::9e3be59865b2c1c335d32dae2fe7b254", "value": "Datacite"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0022", "classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Background We have previously showed that the carotenoid fucoxanthin can increase the lifespan in Drosophila melanogaster and Caenorhabditis elegans. However, the molecular mechanisms of the geroprotective effect of fucoxanthin have not been studied so far. Results Here, we studied the effects of fucoxanthin on the Drosophila aging process at the molecular and the whole organism levels. At the organismal level, fucoxanthin increased the median lifespan and had a positive effect on fecundity, fertility, intestinal barrier function, and nighttime sleep. Transcriptome analysis revealed 57 differentially expressed genes involved in 17 KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways. Among the most represented molecular pathways induced by fucoxanthin, a significant portion is related to longevity, including MAPK, mTOR, Wnt, Notch, and Hippo signaling pathways, autophagy, translation, glycolysis, oxidative phosphorylation, apoptosis, immune response, neurogenesis, sleep, and response to DNA damage. 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"schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0022", "classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Background Population based epigenetic association studies of disease and exposures are becoming more common with the availability of economical genome-wide technologies for interrogation of the methylome, such as the Illumina 450K Human Methylation Array (450K). Often, the expected small number of differentially methylated cytosine-guanine pairs (CpGs) in studies of the human methylome presents a statistical challenge, as the large number of CpGs measured on the 450K necessitates careful multiple test correction. While the 450K is a highly useful tool for population epigenetic studies, many of the CpGs tested are not variable and thus of limited information content in the context of the study and tissue. CpGs with observed lack of variability in the tissue under study could be removed to reduce the data dimensionality, limit the severity of multiple test correction and allow for improved detection of differential DNA methylation. Methods Here, we performed a meta-analysis of 450K data from three commonly studied human tissues, namely blood (605 samples), buccal epithelial cells (121 samples) and placenta (157 samples). We developed lists of CpGs that are non-variable in each tissue. Results These lists are surprisingly large (blood 114,204 CpGs, buccal epithelial cells 120,009 CpGs and placenta 101,367 CpGs) and thus will be valuable filters for epigenetic association studies, considerably reducing the dimensionality of the 450K and subsequently the multiple testing correction severity. Conclusions We propose this empirically derived method for data reduction to allow for more power in detecting differential DNA methylation associated with exposures in studies on the human methylome."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], 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{"classid": "0022", "classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Background The relationship between medication non-compliance in patients with schizophrenia and related disorders, and increased psychiatric service utilization and costs are well documented; however, non-psychiatric service utilization and costs are not. Therefore, we investigated the association of non-compliance with psychiatric treatment and the utilization and costs of non-psychiatric services. Methods Data on South Korean individuals with a lifetime diagnosis of schizophrenia or a related disorder, who were treated in a psychiatric clinic at least twice during 2011, were selected among national data collected for the Health Insurance Review and Assessment Service-National Patients Sample between January 1, 2011 and December 31, 2011. The sample was divided into two overlapping groups with two different classifications of patterns of medication prescription refills: (1) adherent versus non-adherent group, and (2) persistent versus non-persistent group. A matching method was used to remove the effects of different follow-up durations and insurance system on medical service utilization and costs. The final sample for analysis consisted of data from 5,548 individuals in the adherent versus non-adherent group and 3,912 in the persistent versus non-persistent group. Comparisons of the psychiatric and non-psychiatric service utilizations were made between the groups. Results The number of psychiatric service utilizations were significantly lower in the non-adherent than the adherent group. They were also significantly lower in the non-persistent group than the persistent group. The number of non-psychiatric service utilizations was significantly higher in the non-adherent group. They were also significantly higher in the non-persistent group than the persistent group. All psychiatric costs per person during the study period were lower in the non-adherent than the adherent group, and lower in the non-persistent than the persistent group. All non-psychiatric costs per person were higher in the non-adherent than the adherent group, and higher in the non-persistent than the persistent group. Conclusion Non-adherence to psychiatric treatment by patients with schizophrenia and related disorders was associated with higher medical service utilization and increased personal and societal medical costs."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], 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{"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0022", "classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Background The relationship between medication non-compliance in patients with schizophrenia and related disorders, and increased psychiatric service utilization and costs are well documented; however, non-psychiatric service utilization and costs are not. Therefore, we investigated the association of non-compliance with psychiatric treatment and the utilization and costs of non-psychiatric services. Methods Data on South Korean individuals with a lifetime diagnosis of schizophrenia or a related disorder, who were treated in a psychiatric clinic at least twice during 2011, were selected among national data collected for the Health Insurance Review and Assessment Service-National Patients Sample between January 1, 2011 and December 31, 2011. The sample was divided into two overlapping groups with two different classifications of patterns of medication prescription refills: (1) adherent versus non-adherent group, and (2) persistent versus non-persistent group. A matching method was used to remove the effects of different follow-up durations and insurance system on medical service utilization and costs. The final sample for analysis consisted of data from 5,548 individuals in the adherent versus non-adherent group and 3,912 in the persistent versus non-persistent group. Comparisons of the psychiatric and non-psychiatric service utilizations were made between the groups. Results The number of psychiatric service utilizations were significantly lower in the non-adherent than the adherent group. They were also significantly lower in the non-persistent group than the persistent group. The number of non-psychiatric service utilizations was significantly higher in the non-adherent group. They were also significantly higher in the non-persistent group than the persistent group. All psychiatric costs per person during the study period were lower in the non-adherent than the adherent group, and lower in the non-persistent than the persistent group. All non-psychiatric costs per person were higher in the non-adherent than the adherent group, and higher in the non-persistent than the persistent group. Conclusion Non-adherence to psychiatric treatment by patients with schizophrenia and related disorders was associated with higher medical service utilization and increased personal and societal medical costs."}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Figshare"}, "language": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "bestaccessright": {"classid": "UNKNOWN", "classname": "not available", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], 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"Gianfranco", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Morello, Gianfranco"}, {"surname": "Moreno", "name": "Deywis", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Moreno, Deywis"}, {"surname": "Moreno Lla\u0301cer", "name": "Mari\u0301a", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Moreno Ll\u00e1cer, Mar\u00eda"}, {"surname": "Morettini", "name": "Paolo", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Morettini, Paolo"}, {"surname": "Morii", "name": "Masahiro", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Morii, Masahiro"}, {"surname": "Morin", "name": "Jerome", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Morin, Jerome"}, {"surname": "Morita", "name": "Youhei", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Morita, Youhei"}, {"surname": "Morley", "name": "Anthony Keith", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Morley, Anthony Keith"}, {"surname": "Mornacchi", "name": "Giuseppe", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Mornacchi, Giuseppe"}, {"surname": "Morozov", "name": "Sergey", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Morozov, Sergey"}, {"surname": "Morris", "name": "John", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Morris, John"}, {"surname": "Morvaj", "name": "Ljiljana", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Morvaj, Ljiljana"}, {"surname": "Moser", "name": "Hans-Guenther", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Moser, Hans-Guenther"}, {"surname": "Mosidze", "name": "Maia", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Mosidze, Maia"}, {"surname": "Moss", "name": "Josh", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Moss, Josh"}, {"surname": "Mount", "name": "Richard", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Mount, Richard"}, {"surname": "Mountricha", "name": "Eleni", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Mountricha, 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[], "rank": 1880, "affiliation": [], "fullname": "Muir, Alex"}, {"surname": "Munwes", "name": "Yonathan", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Munwes, Yonathan"}, {"surname": "Murray", "name": "Bill", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Murray, Bill"}, {"surname": "Mussche", "name": "Ido", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Mussche, Ido"}, {"surname": "Musto", "name": "Elisa", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Musto, Elisa"}, {"surname": "Myagkov", "name": "Alexey", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Myagkov, Alexey"}, {"surname": "Myska", "name": "Miroslav", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Myska, Miroslav"}, {"surname": "Nadal", "name": "Jordi", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Nadal, Jordi"}, {"surname": "Nagai", "name": "Koichi", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Nagai, Koichi"}, {"surname": "Nagano", "name": "Kunihiro", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Nagano, Kunihiro"}, {"surname": "Nagasaka", "name": "Yasushi", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Nagasaka, Yasushi"}, {"surname": "Nairz", "name": "Armin Michael", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Nairz, Armin Michael"}, {"surname": "Nakahama", "name": "Yu", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Nakahama, Yu"}, {"surname": "Nakamura", "name": "Koji", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Nakamura, Koji"}, {"surname": "Nakano", "name": "Itsuo", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Nakano, Itsuo"}, {"surname": "Nanava", "name": "Gizo", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Nanava, Gizo"}, {"surname": "Napier", "name": "Austin", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Napier, Austin"}, {"surname": "Nash", "name": "Michael", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Nash, Michael"}, {"surname": "Nation", "name": "Nigel", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Nation, Nigel"}, {"surname": "Nattermann", "name": "Till", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Nattermann, Till"}, {"surname": "Naumann", "name": "Thomas", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Naumann, Thomas"}, {"surname": "Navarro", "name": "Gabriela", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Navarro, Gabriela"}, {"surname": "Neal", "name": "Homer", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Neal, Homer"}, {"surname": "Nebot", "name": "Eduardo", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Nebot, Eduardo"}, {"surname": "Nechaeva", "name": "Polina", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Nechaeva, Polina"}, {"surname": "Negri", "name": "Andrea", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Negri, Andrea"}, {"surname": "Negri", "name": "Guido", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Negri, Guido"}, {"surname": "Nektarijevic", "name": "Snezana", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Silke", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Nelson, Silke"}, {"surname": "Nelson", "name": "Timothy Knight", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Nelson, Timothy Knight"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nepomuceno", "name": "Andre Asevedo", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Nepomuceno, Andre Asevedo"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Nesterov", "name": "Stanislav", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Nesterov, Stanislav"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neusiedl", "name": "Andrea", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Neusiedl, Andrea"}, {"surname": "Neves", "name": "Ricardo", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Hong", "name": "Nguyen Thi", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Hong, Van Nguyen Thi"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicolas", "name": "Ludovic", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Nicolas, Ludovic"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Niinikoski", "name": "Tapio", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Niinikoski, Tapio"}, {"surname": "Nikiforou", "name": "Nikiforos", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Nikiforou, Nikiforos"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolaev", "name": "Kirill", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Nikolaev, Kirill"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolics", "name": "Katalin", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Nikolics, Katalin"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Henrik", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Nilsen, Henrik"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishiyama", "name": "Tomonori", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Nishiyama, Tomonori"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Nordkvist", "name": "Bjoern", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Nordkvist, Bjoern"}, {"surname": "Norton", "name": "Peter", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Norton, Peter"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozicka", "name": "Miroslav", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Nozicka, Miroslav"}, {"surname": "Nozka", "name": "Libor", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Nozka, Libor"}, {"surname": "Nugent", "name": "Ian Michael", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Nugent, Ian Michael"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nyman", "name": "Tommi", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Nyman, Tommi"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1958, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neale", "name": "Steve", "pid": [], "rank": 1959, "affiliation": [], "fullname": "O'Neale, Steve"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1960, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1961, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Ohshita", "name": "Hidetoshi", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Ohshita, Hidetoshi"}, {"surname": "Ohska", "name": "Tokio Kenneth", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Ohska, Tokio Kenneth"}, {"surname": "Ohsugi", "name": "Takashi", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Ohsugi, Takashi"}, {"surname": "Okada", "name": "Shogo", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Okada, Shogo"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olcese", "name": "Marco", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Olcese, Marco"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 1985, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 1986, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 1987, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 1988, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Omachi", "name": "Chihiro", "pid": [], "rank": 1989, "affiliation": [], "fullname": "Omachi, Chihiro"}, {"surname": "Onofre", "name": "Antonio", "pid": [], "rank": 1990, "affiliation": [], "fullname": "Onofre, Antonio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlov", "name": "Iliya", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Orlov, Iliya"}, {"surname": "Oropeza Barrera", "name": "Cristina", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Oropeza Barrera, Cristina"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Ospanov, Rustem"}, {"surname": "Osuna", "name": "Carlos", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Osuna, Carlos"}, {"surname": "Otero Y Garzon", "name": "Gustavo", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Otero Y Garzon, Gustavo"}, {"surname": "Ottersbach", "name": "John", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Ottersbach, John"}, {"surname": "Ouchrif", "name": "Mohamed", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Ouchrif, Mohamed"}, {"surname": "Ould-Saada", "name": "Farid", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Ould-Saada, Farid"}, {"surname": "Ouraou", "name": 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"Carsten", "pid": [], "rank": 1815, "affiliation": [], "fullname": "Meyer, Carsten"}, {"surname": "Meyer", "name": "Jean-Pierre", "pid": [], "rank": 1816, "affiliation": [], "fullname": "Meyer, Jean-Pierre"}, {"surname": "Meyer", "name": "Jochen", "pid": [], "rank": 1817, "affiliation": [], "fullname": "Meyer, Jochen"}, {"surname": "Meyer", "name": "Joerg", "pid": [], "rank": 1818, "affiliation": [], "fullname": "Meyer, Joerg"}, {"surname": "Meyer", "name": "Thomas Christian", "pid": [], "rank": 1819, "affiliation": [], "fullname": "Meyer, Thomas Christian"}, {"surname": "Meyer", "name": "W. 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1837, "affiliation": [], "fullname": "Milstead, David"}, {"surname": "Milstein", "name": "Dmitry", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Milstein, Dmitry"}, {"surname": "Minaenko", "name": "Andrey", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Minaenko, Andrey"}, {"surname": "Minano", "name": "Mercedes", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Minano, Mercedes"}, {"surname": "Minashvili", "name": "Irakli", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Minashvili, Irakli"}, {"surname": "Mincer", "name": "Allen", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Mincer, Allen"}, {"surname": "Mindur", "name": "Bartosz", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Mindur, Bartosz"}, {"surname": "Mineev", "name": "Mikhail", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Mineev, Mikhail"}, {"surname": "Ming", "name": "Yao", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Ming, Yao"}, {"surname": "Mir", "name": "Lluisa-Maria", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Mir, Lluisa-Maria"}, {"surname": "Mirabelli", "name": "Giovanni", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Mirabelli, Giovanni"}, {"surname": "Miralles Verge", "name": "Lluis", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Miralles Verge, Lluis"}, {"surname": "Misiejuk", "name": "Andrzej", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Misiejuk, Andrzej"}, {"surname": "Mitrevski", "name": "Jovan", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Mitrevski, Jovan"}, {"surname": "Mitrofanov", "name": "Gennady", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Mitrofanov, Gennady"}, {"surname": "Mitsou", "name": "Vasiliki A.", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Mitsou, Vasiliki A."}, {"surname": "Mitsui", "name": "Shingo", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Mitsui, Shingo"}, {"surname": "Miyagawa", "name": "Paul", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Miyagawa, Paul"}, {"surname": "Miyazaki", "name": "Kazuki", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Miyazaki, Kazuki"}, {"surname": "Mjornmark", "name": "Jan-Ulf", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Mjornmark, Jan-Ulf"}, {"surname": "Moa", "name": "Torbjoern", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Moa, Torbjoern"}, {"surname": "Mockett", "name": "Paul", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Mockett, Paul"}, {"surname": "Moed", "name": "Shulamit", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Moed, Shulamit"}, {"surname": "Moeller", "name": "Victoria", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Moeller, Victoria"}, {"surname": "Monig", "name": "Klaus", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Monig, Klaus"}, {"surname": "Moser", "name": "Nicolas", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Moser, Nicolas"}, {"surname": "Mohapatra", "name": "Soumya", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Mohapatra, Soumya"}, {"surname": "Mohn", "name": "Bjarte", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Mohn, Bjarte"}, {"surname": "Mohr", "name": "Wolfgang", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Mohr, Wolfgang"}, {"surname": "Mohrdieck-Mock", "name": "Susanne", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Mohrdieck-Mock, Susanne"}, {"surname": "Moisseev", "name": "Artemy", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Moisseev, Artemy"}, {"surname": "Moles-Valls", "name": "Regina", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Moles-Valls, Regina"}, {"surname": "Molina-Perez", "name": "Jorge", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Molina-Perez, Jorge"}, {"surname": "Moneta", "name": "Lorenzo", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Moneta, Lorenzo"}, {"surname": "Monk", "name": "James", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Monk, James"}, {"surname": "Monnier", "name": "Emmanuel", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Monnier, Emmanuel"}, {"surname": "Montesano", "name": "Simone", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Montesano, Simone"}, {"surname": "Monticelli", "name": "Fernando", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Monticelli, Fernando"}, {"surname": "Monzani", "name": "Simone", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Monzani, Simone"}, {"surname": "Moore", "name": "Roger", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Moore, Roger"}, {"surname": "Moorhead", "name": "Gareth", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Moorhead, Gareth"}, {"surname": "Mora Herrera", "name": "Clemencia", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Mora Herrera, Clemencia"}, {"surname": "Moraes", "name": "Arthur", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Moraes, Arthur"}, {"surname": "Morais", "name": "Antonio", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Morais, Antonio"}, {"surname": "Morange", "name": "Nicolas", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Morange, Nicolas"}, {"surname": "Morel", "name": "Julien", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Morel, Julien"}, {"surname": "Morello", "name": "Gianfranco", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Morello, Gianfranco"}, {"surname": "Moreno", "name": "Deywis", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Moreno, Deywis"}, {"surname": "Moreno Lla\u0301cer", "name": "Mari\u0301a", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Moreno Ll\u00e1cer, Mar\u00eda"}, {"surname": "Morettini", "name": "Paolo", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Morettini, Paolo"}, {"surname": "Morii", "name": "Masahiro", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Morii, Masahiro"}, {"surname": "Morin", "name": "Jerome", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Morin, Jerome"}, {"surname": "Morita", "name": "Youhei", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Morita, Youhei"}, {"surname": "Morley", "name": "Anthony Keith", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Morley, Anthony Keith"}, {"surname": "Mornacchi", "name": "Giuseppe", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Mornacchi, Giuseppe"}, {"surname": "Morone", "name": "Maria-Christina", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Morone, Maria-Christina"}, {"surname": "Morozov", "name": "Sergey", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Morozov, Sergey"}, {"surname": "Morris", "name": "John", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Morris, John"}, {"surname": "Moser", "name": "Hans-Guenther", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Moser, Hans-Guenther"}, {"surname": "Mosidze", "name": "Maia", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Mosidze, Maia"}, {"surname": "Moss", "name": "Josh", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Moss, Josh"}, {"surname": "Mount", "name": "Richard", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Mount, Richard"}, {"surname": "Mountricha", "name": "Eleni", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Mountricha, Eleni"}, {"surname": "Mouraviev", "name": "Sergei", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Mouraviev, Sergei"}, {"surname": "Moyse", "name": "Edward", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Moyse, Edward"}, {"surname": "Mudrinic", "name": "Mihajlo", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Mudrinic, Mihajlo"}, {"surname": "Mueller", "name": "Felix", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Mueller, Felix"}, {"surname": "Mueller", "name": "James", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Mueller, James"}, {"surname": "Mueller", "name": "Klemens", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Mueller, Klemens"}, {"surname": "Muller", "name": "Thomas", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Muller, Thomas"}, {"surname": "Muenstermann", "name": "Daniel", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Muenstermann, Daniel"}, {"surname": "Muijs", "name": "Sandra", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Muijs, Sandra"}, {"surname": "Muir", "name": "Alex", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Muir, Alex"}, {"surname": "Munwes", "name": "Yonathan", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Munwes, Yonathan"}, {"surname": "Murakami", "name": "Koichi", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Murakami, Koichi"}, {"surname": "Murray", "name": "Bill", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Murray, Bill"}, {"surname": "Mussche", "name": "Ido", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Mussche, Ido"}, {"surname": "Musto", "name": "Elisa", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Musto, Elisa"}, {"surname": "Myagkov", "name": "Alexey", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Myagkov, Alexey"}, {"surname": "Myska", "name": "Miroslav", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Myska, Miroslav"}, {"surname": "Nadal", "name": "Jordi", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Nadal, Jordi"}, {"surname": "Nagai", "name": "Koichi", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Nagai, Koichi"}, {"surname": "Nagano", "name": "Kunihiro", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Nagano, Kunihiro"}, {"surname": "Nagasaka", "name": "Yasushi", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Nagasaka, Yasushi"}, {"surname": "Nairz", "name": "Armin Michael", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Nairz, Armin Michael"}, {"surname": "Nakahama", "name": "Yu", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Nakahama, Yu"}, {"surname": "Nakamura", "name": "Koji", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Nakamura, Koji"}, {"surname": "Nakano", "name": "Itsuo", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Nakano, Itsuo"}, {"surname": "Nanava", "name": "Gizo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Nanava, Gizo"}, {"surname": "Napier", "name": "Austin", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Napier, Austin"}, {"surname": "Nash", "name": "Michael", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Nash, Michael"}, {"surname": "Nation", "name": "Nigel", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Nation, Nigel"}, {"surname": "Nattermann", "name": "Till", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Nattermann, Till"}, {"surname": "Naumann", "name": "Thomas", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Naumann, Thomas"}, {"surname": "Navarro", "name": "Gabriela", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Navarro, Gabriela"}, {"surname": "Neal", "name": "Homer", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Neal, Homer"}, {"surname": "Nebot", "name": "Eduardo", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Nebot, Eduardo"}, {"surname": "Nechaeva", "name": "Polina", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Nechaeva, Polina"}, {"surname": "Negri", "name": "Andrea", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Negri, Andrea"}, {"surname": "Negri", "name": "Guido", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Negri, Guido"}, {"surname": "Nektarijevic", "name": "Snezana", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Silke", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Nelson, Silke"}, {"surname": "Nelson", "name": "Timothy Knight", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Nelson, Timothy Knight"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nepomuceno", "name": "Andre Asevedo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Nepomuceno, Andre Asevedo"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Nesterov", "name": "Stanislav", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Nesterov, Stanislav"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neusiedl", "name": "Andrea", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Neusiedl, Andrea"}, {"surname": "Neves", "name": "Ricardo", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicolas", "name": "Ludovic", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Nicolas, Ludovic"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Niinikoski", "name": "Tapio", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Niinikoski, Tapio"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolaev", "name": "Kirill", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Nikolaev, Kirill"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Henrik", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Nilsen, Henrik"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishiyama", "name": "Tomonori", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Nishiyama, Tomonori"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nomoto", "name": "Hiroshi", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Nomoto, Hiroshi"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Nordkvist", "name": "Bjoern", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Nordkvist, Bjoern"}, {"surname": "Norton", "name": "Peter", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Norton, Peter"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozicka", "name": "Miroslav", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Nozicka, Miroslav"}, {"surname": "Nugent", "name": "Ian Michael", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Nugent, Ian Michael"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nyman", "name": "Tommi", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Nyman, Tommi"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1985, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neale", "name": "Steve", "pid": [], "rank": 1986, "affiliation": [], "fullname": "O'Neale, Steve"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1987, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1988, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1989, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1990, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Ohshita", "name": "Hidetoshi", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Ohshita, Hidetoshi"}, {"surname": "Ohska", "name": "Tokio Kenneth", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Ohska, Tokio Kenneth"}, {"surname": "Ohsugi", "name": "Takashi", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Ohsugi, Takashi"}, {"surname": "Okada", "name": "Shogo", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Okada, Shogo"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 2006, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 2007, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olcese", "name": "Marco", "pid": [], "rank": 2008, "affiliation": [], "fullname": "Olcese, Marco"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 2009, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 2010, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 2011, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 2012, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 2013, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 2014, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 2015, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Omachi", "name": "Chihiro", "pid": [], "rank": 2016, "affiliation": [], "fullname": "Omachi, Chihiro"}, {"surname": "Onofre", "name": "Antonio", "pid": [], "rank": 2017, "affiliation": [], "fullname": "Onofre, Antonio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 2018, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 2019, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Ordonez", "name": "Gustavo", "pid": [], "rank": 2020, "affiliation": [], "fullname": "Ordonez, Gustavo"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 2021, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": "Orellana", "name": "Frederik", "pid": [], "rank": 2022, "affiliation": [], "fullname": "Orellana, Frederik"}, {"surname": "Oren", "name": "Yona", "pid": [], "rank": 2023, "affiliation": [], "fullname": "Oren, Yona"}, {"surname": "Orestano", "name": "Domizia", "pid": [], "rank": 2024, "affiliation": [], "fullname": "Orestano, Domizia"}, {"surname": "Orlov", "name": "Iliya", "pid": [], "rank": 2025, "affiliation": [], "fullname": "Orlov, Iliya"}, {"surname": "Oropeza Barrera", "name": "Cristina", "pid": [], "rank": 2026, "affiliation": [], "fullname": "Oropeza Barrera, Cristina"}, {"surname": "Orr", "name": "Robert", "pid": [], "rank": 2027, "affiliation": [], "fullname": "Orr, Robert"}, {"surname": "Ortega", "name": "Eduardo", "pid": [], "rank": 2028, "affiliation": [], "fullname": "Ortega, Eduardo"}, {"surname": "Osculati", "name": "Bianca", "pid": [], "rank": 2029, "affiliation": [], "fullname": "Osculati, Bianca"}, {"surname": "Ospanov", "name": "Rustem", "pid": [], "rank": 2030, 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On a un pommier en fruit et un dattier qui porte ses r\u00e9gimes. Une personne ramasse d'ailleurs des dattes sur le palmier, repr\u00e9sent\u00e9 avec deux gourmands. Une autre grimpe au pommier. Une charrette est dessin\u00e9e (avec son \u00e2ne et un drapeau \u00e9gyptien \u00e0 l'arri\u00e8re) et une automobile \u00e9galement. Un homme semble juch\u00e9 sur son toit, mais il n'est que qu'\u00e0 c\u00f4t\u00e9. Un oiseau (g\u00e9n\u00e9rique) vole dans le ciel. \u00c0 gauche, ce sont des d\u00e9corations de couleur et une plante ornementale en pot.
[Ateliers avec les enfants berb\u00e9rophones de l'oasis de Siwa (\u00c9gypte), gar\u00e7ons et fillettes de 8 \u00e0 12 ans, r\u00e9alis\u00e9s le 21 f\u00e9vrier 2006 pr\u00e8s de l'\u00e9cole du village d'Aghurmi (proche de Siwa) et le 22 f\u00e9vrier 2006 pr\u00e8s du souk Siwa m\u00eame. Une seule demande leur a \u00e9t\u00e9 faite (en leur fournissant le mat\u00e9riel de dessin)\u00a0: dessinez la nature. Objectif\u00a0: voir ce que repr\u00e9sente la nature pour eux et ce qu'ils en repr\u00e9sentent.]"}], "format": [], "tool": [], "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2006-02-22"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "und", "classname": "Undetermined", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:medihal-00572588v1"], "contactperson": [], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://medihal.archives-ouvertes.fr/medihal-00572588"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Drawing. 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This zircon U\u2013Pb dating and Hf isotopic study documents multiple Neoarchaean to Palaeoproterozoic tectonothermal events from the meta-igneous complex in the Machollyong \u2018Group\u2019 of the Rangnim Massif. Two tonalitic-trondjemitic gneiss samples record a crystallization age of meta-igneous protoliths at ca. 2.56 Ga and multiple migmatization and metamorphism from 2.52 to 1.85 Ga. A meta-dolerite sample yields a magmatic emplacement age of ca. 1.83 Ga. In situ zircon Hf isotopic data indicate that most zircons from the gneiss samples have \u03b5Hf(t) values from \u201316.9 to + 3.1 and crustal model ages from 2.84 to 3.73 Ga, whereas magmatic zircons from the meta-dolerite dike record \u03b5Hf(t) values from \u20135.2 to + 5.2 and model ages of 2.05\u20132.44 Ga. 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"classname": "Collection", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}}], "dateofcollection": "2018-10-28T00:39:04.337Z", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Background Molecular characterization is important for efficient utilization of germplasm and development of improved varieties. In the present study, we investigated the genetic purity, relatedness and population structure of 265 maize inbred lines from the Ethiopian Institute of Agricultural Research (EIAR), the International Maize and Wheat Improvement Centre (CIMMYT) and the International Institute of Tropical Agriculture (IITA) using 220,878 single nucleotide polymorphic (SNP) markers obtained using genotyping by sequencing (GBS). Results Only 22% of the inbred lines were considered pure with <5% heterogeneity, while the remaining 78% of the inbred lines had a heterogeneity ranging from 5.1 to 31.5%. Pairwise genetic distances among the 265 inbred lines varied from 0.011 to 0.345, with 89% of the pairs falling between 0.301 and 0.345. Only <1% of the pairs had a genetic distance lower than 0.200, which included 14 pairs of sister lines that were nearly identical. Relative kinship analysis showed that the kinship coefficients for 59% of the pairs of lines was close to zero, which agrees with the genetic distance estimates. Principal coordinate analysis, discriminant analysis of principal components (DAPC) and the model-based population structure analysis consistently suggested the presence of three groups, which generally agreed with pedigree information (genetic background). Although not distinct enough, the SNP markers showed some level of separation between the two CIMMYT heterotic groups A and B established based on pedigree and combining ability information. Conclusions The high level of heterogeneity detected in most of the inbred lines suggested the requirement for purification or further inbreeding except those deliberately maintained at early inbreeding level. The genetic distance and relative kinship analysis clearly indicated the uniqueness of most of the inbred lines in the maize germplasm available for breeders in the mid-altitude maize breeding program of Ethiopia. Results from the present study facilitate the maize breeding work in Ethiopia and germplasm exchange among breeding programs in Africa. 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{"surname": "Mastroberardino", "name": "Anna", "pid": [], "rank": 1757, "affiliation": [], "fullname": "Mastroberardino, Anna"}, {"surname": "Masubuchi", "name": "Tatsuya", "pid": [], "rank": 1758, "affiliation": [], "fullname": "Masubuchi, Tatsuya"}, {"surname": "Mathes", "name": "Markus", "pid": [], "rank": 1759, "affiliation": [], "fullname": "Mathes, Markus"}, {"surname": "Matricon", "name": "Pierre", "pid": [], "rank": 1760, "affiliation": [], "fullname": "Matricon, Pierre"}, {"surname": "Matsumoto", "name": "Hiroshi", "pid": [], "rank": 1761, "affiliation": [], "fullname": "Matsumoto, Hiroshi"}, {"surname": "Matsunaga", "name": "Hiroyuki", "pid": [], "rank": 1762, "affiliation": [], "fullname": "Matsunaga, Hiroyuki"}, {"surname": "Matsushita", "name": "Takashi", "pid": [], "rank": 1763, "affiliation": [], "fullname": "Matsushita, Takashi"}, {"surname": "Mattravers", "name": "Carly", "pid": [], "rank": 1764, "affiliation": [], "fullname": "Mattravers, Carly"}, {"surname": "Maugain", "name": "Jean-Marie", "pid": [], "rank": 1765, "affiliation": [], "fullname": "Maugain, Jean-Marie"}, {"surname": "Maxfield", "name": "Stephen", "pid": [], "rank": 1766, "affiliation": [], "fullname": "Maxfield, Stephen"}, {"surname": "Maximov", "name": "Dmitriy", "pid": [], "rank": 1767, "affiliation": [], "fullname": "Maximov, Dmitriy"}, {"surname": "May", "name": "Edward", "pid": [], "rank": 1768, "affiliation": [], "fullname": "May, Edward"}, {"surname": "Mayne", "name": "Anna", "pid": [], "rank": 1769, "affiliation": [], "fullname": "Mayne, Anna"}, {"surname": "Mazini", "name": "Rachid", "pid": [], "rank": 1770, "affiliation": [], "fullname": "Mazini, Rachid"}, {"surname": "Mazur", "name": "Michael", "pid": [], "rank": 1771, "affiliation": [], "fullname": "Mazur, Michael"}, {"surname": "Mazzanti", "name": "Marcello", "pid": [], "rank": 1772, "affiliation": [], "fullname": "Mazzanti, Marcello"}, {"surname": "Mazzoni", "name": "Enrico", "pid": [], "rank": 1773, "affiliation": [], "fullname": "Mazzoni, Enrico"}, {"surname": "Kee", "name": "Shawn Patrick Mc", "pid": [], "rank": 1774, "affiliation": [], "fullname": "Kee, Shawn Patrick Mc"}, {"surname": "Mccarn", "name": "Allison", "pid": [], "rank": 1775, "affiliation": [], "fullname": "McCarn, Allison"}, {"surname": "Mccarthy", "name": "Robert", "pid": [], "rank": 1776, "affiliation": [], "fullname": "McCarthy, Robert"}, {"surname": "Mccarthy", "name": "Tom", "pid": [], "rank": 1777, "affiliation": [], "fullname": "McCarthy, Tom"}, {"surname": "Mccubbin", "name": "Norman", "pid": [], "rank": 1778, "affiliation": [], "fullname": "McCubbin, Norman"}, {"surname": "Mcfarlane", "name": "Kenneth", "pid": [], "rank": 1779, "affiliation": [], "fullname": "McFarlane, Kenneth"}, {"surname": "Mcfayden", "name": "Josh", "pid": [], "rank": 1780, "affiliation": [], "fullname": "Mcfayden, Josh"}, {"surname": "Mcglone", "name": "Helen", "pid": [], "rank": 1781, "affiliation": [], "fullname": "McGlone, Helen"}, {"surname": "Mchedlidze", "name": "Gvantsa", "pid": [], "rank": 1782, "affiliation": [], "fullname": "Mchedlidze, Gvantsa"}, {"surname": "Mclaren", "name": "Robert Andrew", "pid": [], "rank": 1783, "affiliation": [], "fullname": "McLaren, Robert Andrew"}, {"surname": "Mclaughlan", "name": "Tom", "pid": [], "rank": 1784, "affiliation": [], "fullname": "Mclaughlan, Tom"}, {"surname": "Mcmahon", "name": "Steve", "pid": [], "rank": 1785, "affiliation": [], "fullname": "McMahon, Steve"}, {"surname": "Mcpherson", "name": "Robert", "pid": [], "rank": 1786, "affiliation": [], "fullname": "McPherson, Robert"}, {"surname": "Meade", "name": "Andrew", "pid": [], "rank": 1787, "affiliation": [], "fullname": "Meade, Andrew"}, {"surname": "Mechnich", "name": "Joerg", "pid": [], "rank": 1788, "affiliation": [], "fullname": "Mechnich, Joerg"}, {"surname": "Mechtel", "name": "Markus", "pid": [], "rank": 1789, "affiliation": [], "fullname": "Mechtel, Markus"}, {"surname": "Medinnis", "name": "Mike", "pid": [], "rank": 1790, "affiliation": [], "fullname": "Medinnis, Mike"}, {"surname": "Meera-Lebbai", "name": "Razzak", "pid": [], "rank": 1791, "affiliation": [], "fullname": "Meera-Lebbai, Razzak"}, {"surname": "Meguro", "name": "Tatsuma", "pid": [], "rank": 1792, "affiliation": [], "fullname": "Meguro, Tatsuma"}, {"surname": "Mehdiyev", "name": "Rashid", "pid": [], "rank": 1793, "affiliation": [], "fullname": "Mehdiyev, Rashid"}, {"surname": "Mehlhase", "name": "Sascha", "pid": [], "rank": 1794, "affiliation": [], "fullname": "Mehlhase, Sascha"}, {"surname": "Mehta", "name": "Andrew", "pid": [], "rank": 1795, "affiliation": [], "fullname": "Mehta, Andrew"}, {"surname": "Meier", "name": "Karlheinz", "pid": [], "rank": 1796, "affiliation": [], "fullname": "Meier, Karlheinz"}, {"surname": "Meinhardt", "name": "Jens", "pid": [], "rank": 1797, "affiliation": [], "fullname": "Meinhardt, Jens"}, {"surname": "Meirose", "name": "Bernhard", "pid": [], "rank": 1798, "affiliation": [], "fullname": "Meirose, Bernhard"}, {"surname": "Melachrinos", "name": "Constantinos", "pid": [], "rank": 1799, "affiliation": [], "fullname": "Melachrinos, Constantinos"}, {"surname": "Mellado Garcia", "name": "Bruce Rafael", "pid": [], "rank": 1800, "affiliation": [], "fullname": "Mellado Garcia, Bruce Rafael"}, {"surname": "Mendoza Navas", "name": "Luis", "pid": [], "rank": 1801, "affiliation": [], "fullname": "Mendoza Navas, Luis"}, {"surname": "Meng", "name": "Zhaoxia", "pid": [], "rank": 1802, "affiliation": [], "fullname": "Meng, Zhaoxia"}, {"surname": "Mengarelli", "name": "Alberto", "pid": [], "rank": 1803, "affiliation": [], "fullname": "Mengarelli, Alberto"}, {"surname": "Menke", "name": "Sven", "pid": [], "rank": 1804, "affiliation": [], "fullname": "Menke, Sven"}, {"surname": "Menot", "name": "Claude", "pid": [], "rank": 1805, "affiliation": [], "fullname": "Menot, Claude"}, {"surname": "Meoni", "name": "Evelin", "pid": [], "rank": 1806, "affiliation": [], "fullname": "Meoni, Evelin"}, {"surname": "Mermod", "name": "Philippe", "pid": [], "rank": 1807, "affiliation": [], "fullname": "Mermod, Philippe"}, {"surname": "Merola", "name": "Leonardo", "pid": [], "rank": 1808, "affiliation": [], "fullname": "Merola, Leonardo"}, {"surname": "Meroni", "name": "Chiara", "pid": [], "rank": 1809, "affiliation": [], "fullname": "Meroni, Chiara"}, {"surname": "Merritt", "name": "Frank", "pid": [], "rank": 1810, "affiliation": [], "fullname": "Merritt, Frank"}, {"surname": "Messina", "name": "Andrea", "pid": [], "rank": 1811, "affiliation": [], "fullname": "Messina, Andrea"}, {"surname": "Metcalfe", "name": "Jessica", "pid": [], "rank": 1812, "affiliation": [], "fullname": "Metcalfe, Jessica"}, {"surname": "Mete", "name": "Alaettin Serhan", "pid": [], "rank": 1813, "affiliation": [], "fullname": "Mete, Alaettin Serhan"}, {"surname": "Meuser", "name": "Stefan", "pid": [], "rank": 1814, "affiliation": [], "fullname": "Meuser, Stefan"}, {"surname": "Meyer", "name": "Carsten", "pid": [], "rank": 1815, "affiliation": [], "fullname": "Meyer, Carsten"}, {"surname": "Meyer", "name": "Jean-Pierre", "pid": [], "rank": 1816, "affiliation": [], "fullname": "Meyer, Jean-Pierre"}, {"surname": "Meyer", "name": "Jochen", "pid": [], "rank": 1817, "affiliation": [], "fullname": "Meyer, Jochen"}, {"surname": "Meyer", "name": "Joerg", "pid": [], "rank": 1818, "affiliation": [], "fullname": "Meyer, Joerg"}, {"surname": "Meyer", "name": "Thomas Christian", "pid": [], "rank": 1819, "affiliation": [], "fullname": "Meyer, Thomas Christian"}, {"surname": "Meyer", "name": "W. Thomas", "pid": [], "rank": 1820, "affiliation": [], "fullname": "Meyer, W.Thomas"}, {"surname": "Miao", "name": "Jiayuan", "pid": [], "rank": 1821, "affiliation": [], "fullname": "Miao, Jiayuan"}, {"surname": "Michal", "name": "Sebastien", "pid": [], "rank": 1822, "affiliation": [], "fullname": "Michal, Sebastien"}, {"surname": "Micu", "name": "Liliana", "pid": [], "rank": 1823, "affiliation": [], "fullname": "Micu, Liliana"}, {"surname": "Middleton", "name": "Robin", "pid": [], "rank": 1824, "affiliation": [], "fullname": "Middleton, Robin"}, {"surname": "Miele", "name": "Paola", "pid": [], "rank": 1825, "affiliation": [], "fullname": "Miele, Paola"}, {"surname": "Migas", "name": "Sylwia", "pid": [], "rank": 1826, "affiliation": [], "fullname": "Migas, Sylwia"}, {"surname": "Mijovic", "name": "Liza", "pid": [], "rank": 1827, "affiliation": [], "fullname": "Mijovic, Liza"}, {"surname": "Mikenberg", "name": "Giora", "pid": [], "rank": 1828, "affiliation": [], "fullname": "Mikenberg, Giora"}, {"surname": "Mikestikova", "name": "Marcela", "pid": [], "rank": 1829, "affiliation": [], "fullname": "Mikestikova, Marcela"}, {"surname": "Mikulec", "name": "Bettina", "pid": [], "rank": 1830, "affiliation": [], "fullname": "Mikulec, Bettina"}, {"surname": "Mikuz", "name": "Marko", "pid": [], "rank": 1831, "affiliation": [], "fullname": "Mikuz, Marko"}, {"surname": "Miller", "name": "David", "pid": [], "rank": 1832, "affiliation": [], "fullname": "Miller, David"}, {"surname": "Miller", "name": "Robert", "pid": [], "rank": 1833, "affiliation": [], "fullname": "Miller, Robert"}, {"surname": "Mills", "name": "Bill", "pid": [], "rank": 1834, "affiliation": [], "fullname": "Mills, Bill"}, {"surname": "Mills", "name": "Corrinne", "pid": [], "rank": 1835, "affiliation": [], "fullname": "Mills, Corrinne"}, {"surname": "Milov", "name": "Alexander", "pid": [], "rank": 1836, "affiliation": [], "fullname": "Milov, Alexander"}, {"surname": "Milstead", "name": "David", "pid": [], "rank": 1837, "affiliation": [], "fullname": "Milstead, David"}, {"surname": "Milstein", "name": "Dmitry", "pid": [], "rank": 1838, "affiliation": [], "fullname": "Milstein, Dmitry"}, {"surname": "Minaenko", "name": "Andrey", "pid": [], "rank": 1839, "affiliation": [], "fullname": "Minaenko, Andrey"}, {"surname": "Minano", "name": "Mercedes", "pid": [], "rank": 1840, "affiliation": [], "fullname": "Minano, Mercedes"}, {"surname": "Minashvili", "name": "Irakli", "pid": [], "rank": 1841, "affiliation": [], "fullname": "Minashvili, Irakli"}, {"surname": "Mincer", "name": "Allen", "pid": [], "rank": 1842, "affiliation": [], "fullname": "Mincer, Allen"}, {"surname": "Mindur", "name": "Bartosz", "pid": [], "rank": 1843, "affiliation": [], "fullname": "Mindur, Bartosz"}, {"surname": "Mineev", "name": "Mikhail", "pid": [], "rank": 1844, "affiliation": [], "fullname": "Mineev, Mikhail"}, {"surname": "Ming", "name": "Yao", "pid": [], "rank": 1845, "affiliation": [], "fullname": "Ming, Yao"}, {"surname": "Mir", "name": "Lluisa-Maria", "pid": [], "rank": 1846, "affiliation": [], "fullname": "Mir, Lluisa-Maria"}, {"surname": "Mirabelli", "name": "Giovanni", "pid": [], "rank": 1847, "affiliation": [], "fullname": "Mirabelli, Giovanni"}, {"surname": "Miralles Verge", "name": "Lluis", "pid": [], "rank": 1848, "affiliation": [], "fullname": "Miralles Verge, Lluis"}, {"surname": "Misiejuk", "name": "Andrzej", "pid": [], "rank": 1849, "affiliation": [], "fullname": "Misiejuk, Andrzej"}, {"surname": "Mitrevski", "name": "Jovan", "pid": [], "rank": 1850, "affiliation": [], "fullname": "Mitrevski, Jovan"}, {"surname": "Mitrofanov", "name": "Gennady", "pid": [], "rank": 1851, "affiliation": [], "fullname": "Mitrofanov, Gennady"}, {"surname": "Mitsou", "name": "Vasiliki A.", "pid": [], "rank": 1852, "affiliation": [], "fullname": "Mitsou, Vasiliki A."}, {"surname": "Mitsui", "name": "Shingo", "pid": [], "rank": 1853, "affiliation": [], "fullname": "Mitsui, Shingo"}, {"surname": "Miyagawa", "name": "Paul", "pid": [], "rank": 1854, "affiliation": [], "fullname": "Miyagawa, Paul"}, {"surname": "Miyazaki", "name": "Kazuki", "pid": [], "rank": 1855, "affiliation": [], "fullname": "Miyazaki, Kazuki"}, {"surname": "Mjornmark", "name": "Jan-Ulf", "pid": [], "rank": 1856, "affiliation": [], "fullname": "Mjornmark, Jan-Ulf"}, {"surname": "Moa", "name": "Torbjoern", "pid": [], "rank": 1857, "affiliation": [], "fullname": "Moa, Torbjoern"}, {"surname": "Mockett", "name": "Paul", "pid": [], "rank": 1858, "affiliation": [], "fullname": "Mockett, Paul"}, {"surname": "Moed", "name": "Shulamit", "pid": [], "rank": 1859, "affiliation": [], "fullname": "Moed, Shulamit"}, {"surname": "Moeller", "name": "Victoria", "pid": [], "rank": 1860, "affiliation": [], "fullname": "Moeller, Victoria"}, {"surname": "Monig", "name": "Klaus", "pid": [], "rank": 1861, "affiliation": [], "fullname": "Monig, Klaus"}, {"surname": "Moser", "name": "Nicolas", "pid": [], "rank": 1862, "affiliation": [], "fullname": "Moser, Nicolas"}, {"surname": "Mohapatra", "name": "Soumya", "pid": [], "rank": 1863, "affiliation": [], "fullname": "Mohapatra, Soumya"}, {"surname": "Mohn", "name": "Bjarte", "pid": [], "rank": 1864, "affiliation": [], "fullname": "Mohn, Bjarte"}, {"surname": "Mohr", "name": "Wolfgang", "pid": [], "rank": 1865, "affiliation": [], "fullname": "Mohr, Wolfgang"}, {"surname": "Mohrdieck-Mock", "name": "Susanne", "pid": [], "rank": 1866, "affiliation": [], "fullname": "Mohrdieck-Mock, Susanne"}, {"surname": "Moisseev", "name": "Artemy", "pid": [], "rank": 1867, "affiliation": [], "fullname": "Moisseev, Artemy"}, {"surname": "Moles-Valls", "name": "Regina", "pid": [], "rank": 1868, "affiliation": [], "fullname": "Moles-Valls, Regina"}, {"surname": "Molina-Perez", "name": "Jorge", "pid": [], "rank": 1869, "affiliation": [], "fullname": "Molina-Perez, Jorge"}, {"surname": "Moneta", "name": "Lorenzo", "pid": [], "rank": 1870, "affiliation": [], "fullname": "Moneta, Lorenzo"}, {"surname": "Monk", "name": "James", "pid": [], "rank": 1871, "affiliation": [], "fullname": "Monk, James"}, {"surname": "Monnier", "name": "Emmanuel", "pid": [], "rank": 1872, "affiliation": [], "fullname": "Monnier, Emmanuel"}, {"surname": "Montesano", "name": "Simone", "pid": [], "rank": 1873, "affiliation": [], "fullname": "Montesano, Simone"}, {"surname": "Monticelli", "name": "Fernando", "pid": [], "rank": 1874, "affiliation": [], "fullname": "Monticelli, Fernando"}, {"surname": "Monzani", "name": "Simone", "pid": [], "rank": 1875, "affiliation": [], "fullname": "Monzani, Simone"}, {"surname": "Moore", "name": "Roger", "pid": [], "rank": 1876, "affiliation": [], "fullname": "Moore, Roger"}, {"surname": "Moorhead", "name": "Gareth", "pid": [], "rank": 1877, "affiliation": [], "fullname": "Moorhead, Gareth"}, {"surname": "Mora Herrera", "name": "Clemencia", "pid": [], "rank": 1878, "affiliation": [], "fullname": "Mora Herrera, Clemencia"}, {"surname": "Moraes", "name": "Arthur", "pid": [], "rank": 1879, "affiliation": [], "fullname": "Moraes, Arthur"}, {"surname": "Morais", "name": "Antonio", "pid": [], "rank": 1880, "affiliation": [], "fullname": "Morais, Antonio"}, {"surname": "Morange", "name": "Nicolas", "pid": [], "rank": 1881, "affiliation": [], "fullname": "Morange, Nicolas"}, {"surname": "Morel", "name": "Julien", "pid": [], "rank": 1882, "affiliation": [], "fullname": "Morel, Julien"}, {"surname": "Morello", "name": "Gianfranco", "pid": [], "rank": 1883, "affiliation": [], "fullname": "Morello, Gianfranco"}, {"surname": "Moreno", "name": "Deywis", "pid": [], "rank": 1884, "affiliation": [], "fullname": "Moreno, Deywis"}, {"surname": "Moreno Lla\u0301cer", "name": "Mari\u0301a", "pid": [], "rank": 1885, "affiliation": [], "fullname": "Moreno Ll\u00e1cer, Mar\u00eda"}, {"surname": "Morettini", "name": "Paolo", "pid": [], "rank": 1886, "affiliation": [], "fullname": "Morettini, Paolo"}, {"surname": "Morii", "name": "Masahiro", "pid": [], "rank": 1887, "affiliation": [], "fullname": "Morii, Masahiro"}, {"surname": "Morin", "name": "Jerome", "pid": [], "rank": 1888, "affiliation": [], "fullname": "Morin, Jerome"}, {"surname": "Morita", "name": "Youhei", "pid": [], "rank": 1889, "affiliation": [], "fullname": "Morita, Youhei"}, {"surname": "Morley", "name": "Anthony Keith", "pid": [], "rank": 1890, "affiliation": [], "fullname": "Morley, Anthony Keith"}, {"surname": "Mornacchi", "name": "Giuseppe", "pid": [], "rank": 1891, "affiliation": [], "fullname": "Mornacchi, Giuseppe"}, {"surname": "Morone", "name": "Maria-Christina", "pid": [], "rank": 1892, "affiliation": [], "fullname": "Morone, Maria-Christina"}, {"surname": "Morozov", "name": "Sergey", "pid": [], "rank": 1893, "affiliation": [], "fullname": "Morozov, Sergey"}, {"surname": "Morris", "name": "John", "pid": [], "rank": 1894, "affiliation": [], "fullname": "Morris, John"}, {"surname": "Moser", "name": "Hans-Guenther", "pid": [], "rank": 1895, "affiliation": [], "fullname": "Moser, Hans-Guenther"}, {"surname": "Mosidze", "name": "Maia", "pid": [], "rank": 1896, "affiliation": [], "fullname": "Mosidze, Maia"}, {"surname": "Moss", "name": "Josh", "pid": [], "rank": 1897, "affiliation": [], "fullname": "Moss, Josh"}, {"surname": "Mount", "name": "Richard", "pid": [], "rank": 1898, "affiliation": [], "fullname": "Mount, Richard"}, {"surname": "Mountricha", "name": "Eleni", "pid": [], "rank": 1899, "affiliation": [], "fullname": "Mountricha, Eleni"}, {"surname": "Mouraviev", "name": "Sergei", "pid": [], "rank": 1900, "affiliation": [], "fullname": "Mouraviev, Sergei"}, {"surname": "Moyse", "name": "Edward", "pid": [], "rank": 1901, "affiliation": [], "fullname": "Moyse, Edward"}, {"surname": "Mudrinic", "name": "Mihajlo", "pid": [], "rank": 1902, "affiliation": [], "fullname": "Mudrinic, Mihajlo"}, {"surname": "Mueller", "name": "Felix", "pid": [], "rank": 1903, "affiliation": [], "fullname": "Mueller, Felix"}, {"surname": "Mueller", "name": "James", "pid": [], "rank": 1904, "affiliation": [], "fullname": "Mueller, James"}, {"surname": "Mueller", "name": "Klemens", "pid": [], "rank": 1905, "affiliation": [], "fullname": "Mueller, Klemens"}, {"surname": "Muller", "name": "Thomas", "pid": [], "rank": 1906, "affiliation": [], "fullname": "Muller, Thomas"}, {"surname": "Muenstermann", "name": "Daniel", "pid": [], "rank": 1907, "affiliation": [], "fullname": "Muenstermann, Daniel"}, {"surname": "Muijs", "name": "Sandra", "pid": [], "rank": 1908, "affiliation": [], "fullname": "Muijs, Sandra"}, {"surname": "Muir", "name": "Alex", "pid": [], "rank": 1909, "affiliation": [], "fullname": "Muir, Alex"}, {"surname": "Munwes", "name": "Yonathan", "pid": [], "rank": 1910, "affiliation": [], "fullname": "Munwes, Yonathan"}, {"surname": "Murakami", "name": "Koichi", "pid": [], "rank": 1911, "affiliation": [], "fullname": "Murakami, Koichi"}, {"surname": "Murray", "name": "Bill", "pid": [], "rank": 1912, "affiliation": [], "fullname": "Murray, Bill"}, {"surname": "Mussche", "name": "Ido", "pid": [], "rank": 1913, "affiliation": [], "fullname": "Mussche, Ido"}, {"surname": "Musto", "name": "Elisa", "pid": [], "rank": 1914, "affiliation": [], "fullname": "Musto, Elisa"}, {"surname": "Myagkov", "name": "Alexey", "pid": [], "rank": 1915, "affiliation": [], "fullname": "Myagkov, Alexey"}, {"surname": "Myska", "name": "Miroslav", "pid": [], "rank": 1916, "affiliation": [], "fullname": "Myska, Miroslav"}, {"surname": "Nadal", "name": "Jordi", "pid": [], "rank": 1917, "affiliation": [], "fullname": "Nadal, Jordi"}, {"surname": "Nagai", "name": "Koichi", "pid": [], "rank": 1918, "affiliation": [], "fullname": "Nagai, Koichi"}, {"surname": "Nagano", "name": "Kunihiro", "pid": [], "rank": 1919, "affiliation": [], "fullname": "Nagano, Kunihiro"}, {"surname": "Nagasaka", "name": "Yasushi", "pid": [], "rank": 1920, "affiliation": [], "fullname": "Nagasaka, Yasushi"}, {"surname": "Nairz", "name": "Armin Michael", "pid": [], "rank": 1921, "affiliation": [], "fullname": "Nairz, Armin Michael"}, {"surname": "Nakahama", "name": "Yu", "pid": [], "rank": 1922, "affiliation": [], "fullname": "Nakahama, Yu"}, {"surname": "Nakamura", "name": "Koji", "pid": [], "rank": 1923, "affiliation": [], "fullname": "Nakamura, Koji"}, {"surname": "Nakano", "name": "Itsuo", "pid": [], "rank": 1924, "affiliation": [], "fullname": "Nakano, Itsuo"}, {"surname": "Nanava", "name": "Gizo", "pid": [], "rank": 1925, "affiliation": [], "fullname": "Nanava, Gizo"}, {"surname": "Napier", "name": "Austin", "pid": [], "rank": 1926, "affiliation": [], "fullname": "Napier, Austin"}, {"surname": "Nash", "name": "Michael", "pid": [], "rank": 1927, "affiliation": [], "fullname": "Nash, Michael"}, {"surname": "Nation", "name": "Nigel", "pid": [], "rank": 1928, "affiliation": [], "fullname": "Nation, Nigel"}, {"surname": "Nattermann", "name": "Till", "pid": [], "rank": 1929, "affiliation": [], "fullname": "Nattermann, Till"}, {"surname": "Naumann", "name": "Thomas", "pid": [], "rank": 1930, "affiliation": [], "fullname": "Naumann, Thomas"}, {"surname": "Navarro", "name": "Gabriela", "pid": [], "rank": 1931, "affiliation": [], "fullname": "Navarro, Gabriela"}, {"surname": "Neal", "name": "Homer", "pid": [], "rank": 1932, "affiliation": [], "fullname": "Neal, Homer"}, {"surname": "Nebot", "name": "Eduardo", "pid": [], "rank": 1933, "affiliation": [], "fullname": "Nebot, Eduardo"}, {"surname": "Nechaeva", "name": "Polina", "pid": [], "rank": 1934, "affiliation": [], "fullname": "Nechaeva, Polina"}, {"surname": "Negri", "name": "Andrea", "pid": [], "rank": 1935, "affiliation": [], "fullname": "Negri, Andrea"}, {"surname": "Negri", "name": "Guido", "pid": [], "rank": 1936, "affiliation": [], "fullname": "Negri, Guido"}, {"surname": "Nektarijevic", "name": "Snezana", "pid": [], "rank": 1937, "affiliation": [], "fullname": "Nektarijevic, Snezana"}, {"surname": "Nelson", "name": "Andrew", "pid": [], "rank": 1938, "affiliation": [], "fullname": "Nelson, Andrew"}, {"surname": "Nelson", "name": "Silke", "pid": [], "rank": 1939, "affiliation": [], "fullname": "Nelson, Silke"}, {"surname": "Nelson", "name": "Timothy Knight", "pid": [], "rank": 1940, "affiliation": [], "fullname": "Nelson, Timothy Knight"}, {"surname": "Nemecek", "name": "Stanislav", "pid": [], "rank": 1941, "affiliation": [], "fullname": "Nemecek, Stanislav"}, {"surname": "Nemethy", "name": "Peter", "pid": [], "rank": 1942, "affiliation": [], "fullname": "Nemethy, Peter"}, {"surname": "Nepomuceno", "name": "Andre Asevedo", "pid": [], "rank": 1943, "affiliation": [], "fullname": "Nepomuceno, Andre Asevedo"}, {"surname": "Nessi", "name": "Marzio", "pid": [], "rank": 1944, "affiliation": [], "fullname": "Nessi, Marzio"}, {"surname": "Nesterov", "name": "Stanislav", "pid": [], "rank": 1945, "affiliation": [], "fullname": "Nesterov, Stanislav"}, {"surname": "Neubauer", "name": "Mark", "pid": [], "rank": 1946, "affiliation": [], "fullname": "Neubauer, Mark"}, {"surname": "Neusiedl", "name": "Andrea", "pid": [], "rank": 1947, "affiliation": [], "fullname": "Neusiedl, Andrea"}, {"surname": "Neves", "name": "Ricardo", "pid": [], "rank": 1948, "affiliation": [], "fullname": "Neves, Ricardo"}, {"surname": "Nevski", "name": "Pavel", "pid": [], "rank": 1949, "affiliation": [], "fullname": "Nevski, Pavel"}, {"surname": "Newman", "name": "Paul", "pid": [], "rank": 1950, "affiliation": [], "fullname": "Newman, Paul"}, {"surname": "Nickerson", "name": "Richard", "pid": [], "rank": 1951, "affiliation": [], "fullname": "Nickerson, Richard"}, {"surname": "Nicolaidou", "name": "Rosy", "pid": [], "rank": 1952, "affiliation": [], "fullname": "Nicolaidou, Rosy"}, {"surname": "Nicolas", "name": "Ludovic", "pid": [], "rank": 1953, "affiliation": [], "fullname": "Nicolas, Ludovic"}, {"surname": "Nicquevert", "name": "Bertrand", "pid": [], "rank": 1954, "affiliation": [], "fullname": "Nicquevert, Bertrand"}, {"surname": "Niedercorn", "name": "Francois", "pid": [], "rank": 1955, "affiliation": [], "fullname": "Niedercorn, Francois"}, {"surname": "Nielsen", "name": "Jason", "pid": [], "rank": 1956, "affiliation": [], "fullname": "Nielsen, Jason"}, {"surname": "Niinikoski", "name": "Tapio", "pid": [], "rank": 1957, "affiliation": [], "fullname": "Niinikoski, Tapio"}, {"surname": "Nikiforov", "name": "Andriy", "pid": [], "rank": 1958, "affiliation": [], "fullname": "Nikiforov, Andriy"}, {"surname": "Nikolaenko", "name": "Vladimir", "pid": [], "rank": 1959, "affiliation": [], "fullname": "Nikolaenko, Vladimir"}, {"surname": "Nikolaev", "name": "Kirill", "pid": [], "rank": 1960, "affiliation": [], "fullname": "Nikolaev, Kirill"}, {"surname": "Nikolic-Audit", "name": "Irena", "pid": [], "rank": 1961, "affiliation": [], "fullname": "Nikolic-Audit, Irena"}, {"surname": "Nikolopoulos", "name": "Konstantinos", "pid": [], "rank": 1962, "affiliation": [], "fullname": "Nikolopoulos, Konstantinos"}, {"surname": "Nilsen", "name": "Henrik", "pid": [], "rank": 1963, "affiliation": [], "fullname": "Nilsen, Henrik"}, {"surname": "Nilsson", "name": "Paul", "pid": [], "rank": 1964, "affiliation": [], "fullname": "Nilsson, Paul"}, {"surname": "Ninomiya", "name": "Yoichi", "pid": [], "rank": 1965, "affiliation": [], "fullname": "Ninomiya, Yoichi"}, {"surname": "Nisati", "name": "Aleandro", "pid": [], "rank": 1966, "affiliation": [], "fullname": "Nisati, Aleandro"}, {"surname": "Nishiyama", "name": "Tomonori", "pid": [], "rank": 1967, "affiliation": [], "fullname": "Nishiyama, Tomonori"}, {"surname": "Nisius", "name": "Richard", "pid": [], "rank": 1968, "affiliation": [], "fullname": "Nisius, Richard"}, {"surname": "Nodulman", "name": "Lawrence", "pid": [], "rank": 1969, "affiliation": [], "fullname": "Nodulman, Lawrence"}, {"surname": "Nomachi", "name": "Masaharu", "pid": [], "rank": 1970, "affiliation": [], "fullname": "Nomachi, Masaharu"}, {"surname": "Nomidis", "name": "Ioannis", "pid": [], "rank": 1971, "affiliation": [], "fullname": "Nomidis, Ioannis"}, {"surname": "Nomoto", "name": "Hiroshi", "pid": [], "rank": 1972, "affiliation": [], "fullname": "Nomoto, Hiroshi"}, {"surname": "Nordberg", "name": "Markus", "pid": [], "rank": 1973, "affiliation": [], "fullname": "Nordberg, Markus"}, {"surname": "Nordkvist", "name": "Bjoern", "pid": [], "rank": 1974, "affiliation": [], "fullname": "Nordkvist, Bjoern"}, {"surname": "Norton", "name": "Peter", "pid": [], "rank": 1975, "affiliation": [], "fullname": "Norton, Peter"}, {"surname": "Novakova", "name": "Jana", "pid": [], "rank": 1976, "affiliation": [], "fullname": "Novakova, Jana"}, {"surname": "Nozaki", "name": "Mitsuaki", "pid": [], "rank": 1977, "affiliation": [], "fullname": "Nozaki, Mitsuaki"}, {"surname": "Nozicka", "name": "Miroslav", "pid": [], "rank": 1978, "affiliation": [], "fullname": "Nozicka, Miroslav"}, {"surname": "Nugent", "name": "Ian Michael", "pid": [], "rank": 1979, "affiliation": [], "fullname": "Nugent, Ian Michael"}, {"surname": "Nuncio-Quiroz", "name": "Adriana-Elizabeth", "pid": [], "rank": 1980, "affiliation": [], "fullname": "Nuncio-Quiroz, Adriana-Elizabeth"}, {"surname": "Nunes Hanninger", "name": "Guilherme", "pid": [], "rank": 1981, "affiliation": [], "fullname": "Nunes Hanninger, Guilherme"}, {"surname": "Nunnemann", "name": "Thomas", "pid": [], "rank": 1982, "affiliation": [], "fullname": "Nunnemann, Thomas"}, {"surname": "Nurse", "name": "Emily", "pid": [], "rank": 1983, "affiliation": [], "fullname": "Nurse, Emily"}, {"surname": "Nyman", "name": "Tommi", "pid": [], "rank": 1984, "affiliation": [], "fullname": "Nyman, Tommi"}, {"surname": "O Brien", "name": "Brendan Joseph", "pid": [], "rank": 1985, "affiliation": [], "fullname": "O'Brien, Brendan Joseph"}, {"surname": "O Neale", "name": "Steve", "pid": [], "rank": 1986, "affiliation": [], "fullname": "O'Neale, Steve"}, {"surname": "O Neil", "name": "Dugan", "pid": [], "rank": 1987, "affiliation": [], "fullname": "O'Neil, Dugan"}, {"surname": "O Shea", "name": "Val", "pid": [], "rank": 1988, "affiliation": [], "fullname": "O'Shea, Val"}, {"surname": "Oakham", "name": "Gerald", "pid": [], "rank": 1989, "affiliation": [], "fullname": "Oakham, Gerald"}, {"surname": "Oberlack", "name": "Horst", "pid": [], "rank": 1990, "affiliation": [], "fullname": "Oberlack, Horst"}, {"surname": "Ocariz", "name": "Jose", "pid": [], "rank": 1991, "affiliation": [], "fullname": "Ocariz, Jose"}, {"surname": "Ochi", "name": "Atsuhiko", "pid": [], "rank": 1992, "affiliation": [], "fullname": "Ochi, Atsuhiko"}, {"surname": "Oda", "name": "Susumu", "pid": [], "rank": 1993, "affiliation": [], "fullname": "Oda, Susumu"}, {"surname": "Odaka", "name": "Shigeru", "pid": [], "rank": 1994, "affiliation": [], "fullname": "Odaka, Shigeru"}, {"surname": "Odier", "name": "Jerome", "pid": [], "rank": 1995, "affiliation": [], "fullname": "Odier, Jerome"}, {"surname": "Ogren", "name": "Harold", "pid": [], "rank": 1996, "affiliation": [], "fullname": "Ogren, Harold"}, {"surname": "Oh", "name": "Alexander", "pid": [], "rank": 1997, "affiliation": [], "fullname": "Oh, Alexander"}, {"surname": "Oh", "name": "Seog", "pid": [], "rank": 1998, "affiliation": [], "fullname": "Oh, Seog"}, {"surname": "Ohm", "name": "Christian", "pid": [], "rank": 1999, "affiliation": [], "fullname": "Ohm, Christian"}, {"surname": "Ohshima", "name": "Takayoshi", "pid": [], "rank": 2000, "affiliation": [], "fullname": "Ohshima, Takayoshi"}, {"surname": "Ohshita", "name": "Hidetoshi", "pid": [], "rank": 2001, "affiliation": [], "fullname": "Ohshita, Hidetoshi"}, {"surname": "Ohska", "name": "Tokio Kenneth", "pid": [], "rank": 2002, "affiliation": [], "fullname": "Ohska, Tokio Kenneth"}, {"surname": "Ohsugi", "name": "Takashi", "pid": [], "rank": 2003, "affiliation": [], "fullname": "Ohsugi, Takashi"}, {"surname": "Okada", "name": "Shogo", "pid": [], "rank": 2004, "affiliation": [], "fullname": "Okada, Shogo"}, {"surname": "Okawa", "name": "Hideki", "pid": [], "rank": 2005, "affiliation": [], "fullname": "Okawa, Hideki"}, {"surname": "Okumura", "name": "Yasuyuki", "pid": [], "rank": 2006, "affiliation": [], "fullname": "Okumura, Yasuyuki"}, {"surname": "Okuyama", "name": "Toyonobu", "pid": [], "rank": 2007, "affiliation": [], "fullname": "Okuyama, Toyonobu"}, {"surname": "Olcese", "name": "Marco", "pid": [], "rank": 2008, "affiliation": [], "fullname": "Olcese, Marco"}, {"surname": "Olchevski", "name": "Alexander", "pid": [], "rank": 2009, "affiliation": [], "fullname": "Olchevski, Alexander"}, {"surname": "Oliveira", "name": "Miguel Alfonso", "pid": [], "rank": 2010, "affiliation": [], "fullname": "Oliveira, Miguel Alfonso"}, {"surname": "Oliveira Damazio", "name": "Denis", "pid": [], "rank": 2011, "affiliation": [], "fullname": "Oliveira Damazio, Denis"}, {"surname": "Oliver Garcia", "name": "Elena", "pid": [], "rank": 2012, "affiliation": [], "fullname": "Oliver Garcia, Elena"}, {"surname": "Olivito", "name": "Dominick", "pid": [], "rank": 2013, "affiliation": [], "fullname": "Olivito, Dominick"}, {"surname": "Olszewski", "name": "Andrzej", "pid": [], "rank": 2014, "affiliation": [], "fullname": "Olszewski, Andrzej"}, {"surname": "Olszowska", "name": "Jolanta", "pid": [], "rank": 2015, "affiliation": [], "fullname": "Olszowska, Jolanta"}, {"surname": "Omachi", "name": "Chihiro", "pid": [], "rank": 2016, "affiliation": [], "fullname": "Omachi, Chihiro"}, {"surname": "Onofre", "name": "Antonio", "pid": [], "rank": 2017, "affiliation": [], "fullname": "Onofre, Antonio"}, {"surname": "Onyisi", "name": "Peter", "pid": [], "rank": 2018, "affiliation": [], "fullname": "Onyisi, Peter"}, {"surname": "Oram", "name": "Christopher", "pid": [], "rank": 2019, "affiliation": [], "fullname": "Oram, Christopher"}, {"surname": "Ordonez", "name": "Gustavo", "pid": [], "rank": 2020, "affiliation": [], "fullname": "Ordonez, Gustavo"}, {"surname": "Oreglia", "name": "Mark", "pid": [], "rank": 2021, "affiliation": [], "fullname": "Oreglia, Mark"}, {"surname": 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In this paper, the relations between the mobilisation and use of internal and external resources in innovation processes, and the innovative performance of firms, are explored empirically, using an adapted version of H\\xe5kansson's (1987) economic network model. The main research question was: to what extent do network variables contribute to the innovative performance of firms? To answer this question, we assessed the explanatory power of economic network theory within the empirical study of innovation. Firms were found to engage in various configurations of internal and external resource bases, enabling them to innovate with better results. The relations in the estimated models are strongly influenced by moderating variables such as sector, and type and level of innovations produced. 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The decays of entangled neutral B mesons into definite flavor states (B-0 or (B) over bar (0)), and J/psi K-L(0) or c (c) over barK(S)(0) final states (referred to as B+ or B-), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, (B) over bar (0) -> B- and B- -> (B) over bar (0), as a function of the time difference between the two B decays. Using 468 X 10(6) B (B) over bar pairs produced in Y(4S) decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding Delta S-T(+) = -137 +/- 0.14(stat) +/- 0.06(syst) and Delta S-T(-) = 1.17 +/- 0.18(stat) +/- 0.11(syst). 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Background: Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step. Results: We used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5 to 1.1 % higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4 % lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5 days, while the standard analysis including all sequence-based variants took more than three months. Conclusions: The split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds.

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The increase of private health care plans and the implementation of the \"Smiling Brazil\" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S\\xe3o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. \\n__Method:__ Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. 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A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of beta-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with beta-lactam antibiotics, especially for beta-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of beta-lactam antibiotics, which are often prescribed to treat H. influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when beta-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for beta-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}], "format": [], "journal": {"issnPrinted": "2379-5042", "conferencedate": "", "vol": "2", "conferenceplace": "", "name": "Msphere", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": 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"dnet:dataCite_title"}, "value": "Bacterial Lysis through Interference with Peptidoglycan Synthesis Increases Biofilm Formation by Nontypeable Haemophilus influenzae"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:datasetarchive", "classname": "sysimport:crosswalk:datasetarchive", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:dataCite_resource", "schemename": "dnet:dataCite_resource"}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "urn", "classname": "urn", "schemeid": "dnet:pid_types", "schemename": 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Warmer and relatively arid conditions prevailed during the Medieval Climate Anomaly (MCA, ca. 900-1300 AD), with a significant development of xerophytes and Mediterranean vegetation and limited deciduous tree formations (mesophytes). The Little Ice Age (LIA, 1300-1800 AD) was generally colder and moister, with an expansion of deciduous taxa and cold-adapted montane conifers. Two major phases occurred within this period: (i) a transition MCA-LIA, characterized by fluctuating, moist conditions and relatively cold temperatures (ca. 1300 and 1600 AD); and (ii) a second period, characterized by the coldest and most humid conditions, coinciding with maximum (recent) glacier advances (ca. 1600-1800 AD). Glaciers retreated after the LIA when warmer and more arid conditions dominated, interrupted by a short-living cooling episode during the late 19th to early 20th centuries. Some records suggest a response to solar activity with colder and slightly moister conditions during solar minima. Centennial-scale hydrological fluctuations are in phase with reconstructions of NAO variability, which appears to be one of the main climate mechanisms influencing rainfall variations in the region during the last millennium. \\xa9 2012 Author(s)."}], "format": [], "journal": {"issnPrinted": "1814-9324", "conferencedate": "", "vol": "8", "conferenceplace": "", "name": "Climate of the Past", "iss": "2 special issue", "sp": "683", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "700", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-03-30"}, "coverage": [], "publisher": 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String iteration is a variation on the original binary version of the Kleene star operation $p^* q$ obtained by restricting the first argument to be a non-empty sequence of atomic actions. We show that, for every positive integer $k$, bisimulation equivalence over the set of processes in this language with loops of length at most $k$ is finitely axiomatizable, provided that the set of actions is finite. We also offer an infinite equational theory that completely axiomatizes bisimulation equivalence over the whole language. 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In this study we not only aim to investigate if children's advertising exposure indeed affects their materialism, but also how it affects their materialism (i.e., by studying the mediating effects of advertised product desire and perceived reality of advertising). The study investigates 8- to 11-year-olds, because these children are in the midst of consumer development. Unlike previous studies, it focuses on the longitudinal rather than the cross-sectional relations. A sample of 466 children (ages 8-11 years; 55% girls) participated in a two-wave online survey with a one-year interval. We asked children questions about advertising and material possessions. We used structural equation modeling to study the relationship between these variables. Results indicated that children's advertising exposure increases materialism. 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In this study we not only aim to investigate if children's advertising exposure indeed affects their materialism, but also how it affects their materialism (i.e., by studying the mediating effects of advertised product desire and perceived reality of advertising). The study investigates 8- to 11-year-olds, because these children are in the midst of consumer development. Unlike previous studies, it focuses on the longitudinal rather than the cross-sectional relations. A sample of 466 children (ages 8-11 years; 55% girls) participated in a two-wave online survey with a one-year interval. We asked children questions about advertising and material possessions. We used structural equation modeling to study the relationship between these variables. Results indicated that children's advertising exposure increases materialism. 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Warmer\\nand relatively arid conditions prevailed during the Medieval Climate Anomaly\\n(MCA, ca. 900\\u20131300 AD), with a significant development of xerophytes and\\nMediterranean vegetation and limited deciduous tree formations (mesophytes).\\nThe Little Ice Age (LIA, 1300\\u20131800 AD) was generally colder and moister,\\nwith an expansion of deciduous taxa and cold-adapted montane conifers. Two\\nmajor phases occurred within this period: (i) a transition MCA\\u2013LIA,\\ncharacterized by fluctuating, moist conditions and relatively cold\\ntemperatures (ca. 1300 and 1600 AD); and (ii) a second period, characterized\\nby the coldest and most humid conditions, coinciding with maximum (recent)\\nglacier advances (ca. 1600\\u20131800 AD). Glaciers retreated after the LIA when\\nwarmer and more arid conditions dominated, interrupted by a short-living\\ncooling episode during the late 19th to early 20th centuries. 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{"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://researchonline.lshtm.ac.uk/id/eprint/11161/1/Buprenorphine%20maintenance%20versus%20placebo%20or%20methadone%20maintenance%20for%20opioid%20dependence_GREEN%20VoR.pdf"}], "dateoftransformation": "2020-03-05T20:28:44.964Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"BACKGROUND: Buprenorphine has recently been reported to be an alternative to methadone and LAAM for maintenance treatment of opioid dependent individuals, differing results are reported concerning its relative effectiveness indicating the need for an integrative review. OBJECTIVES: To evaluate the effects of buprenorphine maintenance against placebo and methadone maintenance in retaining patients in treatment and in suppressing illicit drug use. SEARCH STRATEGY: We searched the following databases up to 2001, inclusive: Cochrane Drugs and Alcohol Review Group Register, the Cochrane Controlled Trials Register, MEDLINE, EMBASE, Current Contents, Psychlit, CORK [www. state.vt.su/adap/cork], Alcohol and Drug Council of Australia (ADCA) [www.adca.org.au], Australian Drug Foundation (ADF -VIC) [www.adf.org.au], Centre for Education and Information on Drugs and Alcohol (CEIDA) [www.ceida.net.au], Australian Bibliographic Network (ABN), and Library of Congress databases, available NIDA monographs and the College on Problems of Drug Dependence Inc. proceedings, the reference lists of all identified studies and published reviews and authors of identified RCT's were asked about any other published or unpublished relevant RCT. SELECTION CRITERIA: Randomised clinical trials of buprenorphine maintenance compared with either placebo or methadone maintenance for opioid dependence. DATA COLLECTION AND ANALYSIS: Reviewers evaluated the papers separately and independently, rating methodological quality of concealment of allocation; data were extracted independently for meta-analysis and double-entered. MAIN RESULTS: Thirteen studies met the inclusion criteria, all were randomised clinical trials, all but one were double-blind. The method of concealment of allocation was not clearly described in 11 of the studies, otherwise methodological quality was good. Buprenorphine given in flexible doses appeared statistically significantly less effective than methadone in retaining patient in treatment (RR= 0.82; 95% CI: 0.69-0.96). Low dose buprenorphine is not superior to low dose methadone. High dose buprenorphine does not retain more patients than low dose methadone, but may suppress heroin use better. There was no advantage for high dose buprenorphine over high dose methadone in retention (RR=0.79; 95% CI:0.62-1.01), and high dose buprenorphine was inferior in suppression of heroin use. Buprenorphine was statistically significantly superior to placebo medication in retention of patients in treatment at low doses (RR=1.24; 95% CI: 1.06-1.45), high doses (RR=1.21; 95% CI: 1.02-1.44), and very high doses (RR=1.52; 95% CI: 1.23-1.88). However, only high and very high dose buprenorphine suppressed heroin use significantly above placebo. REVIEWERS' CONCLUSIONS: Buprenorphine is an effective intervention for use in the maintenance treatment of heroin dependence, but it is not more effective than methadone at adequate dosages."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "application/pdf"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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"value":"AbstractWe study equational axiomatizations of bisimulation equivalence for the language obtained by extending Milner's basic CCS with string iteration. String iteration is a variation on the original binary version of the Kleene star operation p\\u2217q obtained by restricting the first argument to be a non-empty sequence of atomic actions. We show that, for every positive integer k, bisimulation equivalence over the set of processes in this language with loops of length at most k is finitely axiomatizable, provided that the set of actions is finite. We also offer an infinite equational theory that completely axiomatizes bisimulation equivalence over the whole language. We prove that this result cannot be improved upon by showing that no finite equational axiomatization of bisimulation equivalence over basic CCS with string iteration can exist, unless the set of actions is empty."}], "format": [], "journal": {"issnPrinted": "03043975", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Theoretical Computer Science", "iss": "1-2", "sp": "339", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "374", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", 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"dateofcollection": "2018-11-10T05:10:17.902Z", "fulltext": [], "dateoftransformation": "2020-02-27T19:29:46.391Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "SummarySIRT1 is a NAD+-dependent enzyme that affects metabolism by deacetylating key transcriptional regulators of energy expenditure. Here, we tested whether deletion of PARP-2, an alternative NAD+-consuming enzyme, impacts on NAD+ bioavailability and SIRT1 activity. Our results indicate that PARP-2 deficiency increases SIRT1 activity in cultured myotubes. However, this increase was not due to changes in NAD+ levels, but to an increase in SIRT1 expression, as PARP-2 acts as a direct negative regulator of the SIRT1 promoter. PARP-2 deletion in mice increases SIRT1 levels, promotes energy expenditure, and increases mitochondrial content. Furthermore, PARP-2\\u2212/\\u2212 mice were protected against diet-induced obesity. Despite being insulin sensitized, PARP-2\\u2212/\\u2212 mice were glucose intolerant due to a defective pancreatic function. 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Buprenorphine has recently been reported to be an alternative to methadone and LAAM for maintenance treatment of opioid dependent individuals, differing results are reported concerning its relative effectiveness indicating the need for an integrative review. OBJECTIVES: To evaluate the effects of buprenorphine maintenance against placebo and methadone maintenance in retaining patients in treatment and in suppressing illicit drug use. SEARCH STRATEGY: We searched the following databases up to 2001, inclusive: Cochrane Drugs and Alcohol Review Group Register, the Cochrane Controlled Trials Register, MEDLINE, EMBASE, Current Contents, Psychlit, CORK [www. state.vt.su/adap/cork], Alcohol and Drug Council of Australia (ADCA) [www.adca.org.au], Australian Drug Foundation (ADF -VIC) [www.adf.org.au], Centre for Education and Information on Drugs and Alcohol (CEIDA) [www.ceida.net.au], Australian Bibliographic Network (ABN), and Library of Congress databases, available NIDA monographs and the College on Problems of Drug Dependence Inc. proceedings, the reference lists of all identified studies and published reviews and authors of identified RCT's were asked about any other published or unpublished relevant RCT. SELECTION CRITERIA: Randomised clinical trials of buprenorphine maintenance compared with either placebo or methadone maintenance for opioid dependence. DATA COLLECTION AND ANALYSIS: Reviewers evaluated the papers separately and independently, rating methodological quality of concealment of allocation; data were extracted independently for meta-analysis and double-entered. MAIN RESULTS: Thirteen studies met the inclusion criteria, all were randomised clinical trials, all but one were double-blind. The method of concealment of allocation was not clearly described in 11 of the studies, otherwise methodological quality was good. Buprenorphine given in flexible doses appeared statistically significantly less effective than methadone in retaining patient in treatment (RR= 0.82; 95% CI: 0.69-0.96). Low dose buprenorphine is not superior to low dose methadone. High dose buprenorphine does not retain more patients than low dose methadone, but may suppress heroin use better. There was no advantage for high dose buprenorphine over high dose methadone in retention (RR=0.79; 95% CI:0.62-1.01), and high dose buprenorphine was inferior in suppression of heroin use. Buprenorphine was statistically significantly superior to placebo medication in retention of patients in treatment at low doses (RR=1.24; 95% CI: 1.06-1.45), high doses (RR=1.21; 95% CI: 1.02-1.44), and very high doses (RR=1.52; 95% CI: 1.23-1.88). However, only high and very high dose buprenorphine suppressed heroin use significantly above placebo. REVIEWER'S CONCLUSIONS: Buprenorphine is an effective intervention for use in the maintenance treatment of heroin dependence, but it is not more effective than methadone at adequate dosages."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "application/pdf"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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"dateofcollection": "2020-03-03T12:35:37.548Z", "fulltext": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "http://eprints.whiterose.ac.uk/98102/1/Angew.%20Chem.%202016%2C%20128%2C%204816-4820.pdf"}], "dateoftransformation": "2020-03-05T21:40:55.294Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "A highly efficient cap-exchange approach for preparing compact, dense polyvalent mannose-capped quantum dots (QDs) has been developed. The resulting QDs have been successfully used to probe multivalent interactions of HIV/Ebola receptors DC-SIGN and DC-SIGNR (collectively termed as DC-SIGN/R) using a sensitive, ratiometric F\\xf6rster resonance energy transfer (FRET) assay. The QD probes specifically bind DC-SIGN, but not its closely related receptor DC-SIGNR, which is further confirmed by its specific blocking of DC-SIGN engagement with the Ebola virus glycoprotein. Tuning the QD surface mannose valency reveals that DC-SIGN binds more efficiently to densely packed mannosides. A FRET-based thermodynamic study reveals that the binding is enthalpy-driven. This work establishes QD FRET as a rapid, sensitive technique for probing structure and thermodynamics of multivalent protein\\u2013ligand interactions."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "application/pdf"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", 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"trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Anthelmintics"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Macrocyclic lactones"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": 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"deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Molecular docking"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "David", "name": "Marion A.", "pid": [], "rank": 1, "affiliation": [], "fullname": "David, Marion A."}, {"surname": "Orlowski", "name": "Ste\\u0301phane", "pid": [], "rank": 2, "affiliation": [], "fullname": "Orlowski, St\\xe9phane"}, {"surname": "Prichard", "name": "Roger K.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Prichard, Roger K."}, {"surname": "Hashem", "name": "Shaima", "pid": [], "rank": 4, "affiliation": [], "fullname": "Hashem, Shaima"}, {"surname": "Andre\\u0301", "name": "Franc\\u0327ois", "pid": [], "rank": 5, "affiliation": [], "fullname": "Andr\\xe9, Fran\\xe7ois"}, {"surname": "Lespine", "name": "Anne", "pid": [], "rank": 6, "affiliation": [], "fullname": "Lespine, Anne"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::8f87e10869299a5fe80b315695296b88", "value": "Elsevier"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": 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"inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::437f4b072b1aa198adcbc35910ff3b98", "value": "CORE"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-11-09T09:48:56.28Z", "fulltext": [], "dateoftransformation": "2020-02-27T19:44:40.709Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "AbstractMacrocyclic lactones (ML) are important anthelmintics used in animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "22113207", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "International Journal for Parasitology: Drugs and Drug Resistance", "iss": "3", "sp": "299", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "313", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": 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{"surname": "Tosounidis", "name": "Ioannis", "pid": [], "rank": 9, "affiliation": [], "fullname": "Tosounidis, Ioannis"}, {"surname": "Mohan", "name": "Meyyammai", "pid": [], "rank": 10, "affiliation": [], "fullname": "Mohan, Meyyammai"}, {"surname": "Madden", "name": "Colm", "pid": [], "rank": 11, "affiliation": [], "fullname": "Madden, Colm"}, {"surname": "Dodds", "name": "Annabel", "pid": [], "rank": 12, "affiliation": [], "fullname": "Dodds, Annabel"}, {"surname": "Chandler", "name": "Kate\\xa0e", "pid": [], "rank": 13, "affiliation": [], "fullname": "Chandler, Kate\\xa0E."}, {"surname": "Banka", "name": "Siddharth", "pid": [], "rank": 14, "affiliation": [], "fullname": "Banka, Siddharth"}, {"surname": "A", "name": "Leon", "pid": [], "rank": 15, "affiliation": [], "fullname": "Au, Leon"}, {"surname": "Clayton-Smith", "name": "Jill", "pid": [], "rank": 16, "affiliation": [], "fullname": "Clayton-Smith, Jill"}, {"surname": "Khan", "name": "Naz", "pid": [], "rank": 17, "affiliation": 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"dateoftransformation": "2020-03-05T22:53:48.852Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"BACKGROUND: Buprenorphine has recently been reported to be an alternative to methadone and LAAM for maintenance treatment of opioid dependent individuals, differing results are reported concerning its relative effectiveness indicating the need for an integrative review. OBJECTIVES: To evaluate the effects of buprenorphine maintenance against placebo and methadone maintenance in retaining patients in treatment and in suppressing illicit drug use. SEARCH STRATEGY: We searched the following databases up to 2001, inclusive: Cochrane Drugs and Alcohol Review Group Register, the Cochrane Controlled Trials Register, MEDLINE, EMBASE, Current Contents, Psychlit, CORK [www. state.vt.su/adap/cork], Alcohol and Drug Council of Australia (ADCA) [www.adca.org.au], Australian Drug Foundation (ADF -VIC) [www.adf.org.au], Centre for Education and Information on Drugs and Alcohol (CEIDA) [www.ceida.net.au], Australian Bibliographic Network (ABN), and Library of Congress databases, available NIDA monographs and the College on Problems of Drug Dependence Inc. proceedings, the reference lists of all identified studies and published reviews and authors of identified RCT's were asked about any other published or unpublished relevant RCT. SELECTION CRITERIA: Randomised clinical trials of buprenorphine maintenance compared with either placebo or methadone maintenance for opioid dependence. DATA COLLECTION AND ANALYSIS: Reviewers evaluated the papers separately and independently, rating methodological quality of concealment of allocation; data were extracted independently for meta-analysis and double-entered. MAIN RESULTS: Thirteen studies met the inclusion criteria, all were randomised clinical trials, all but one were double-blind. The method of concealment of allocation was not clearly described in 11 of the studies, otherwise methodological quality was good. Buprenorphine given in flexible doses appeared statistically significantly less effective than methadone in retaining patient in treatment (RR= 0.82; 95% CI: 0.69-0.96). Low dose buprenorphine is not superior to low dose methadone. High dose buprenorphine does not retain more patients than low dose methadone, but may suppress heroin use better. There was no advantage for high dose buprenorphine over high dose methadone in retention (RR=0.79; 95% CI:0.62-1.01), and high dose buprenorphine was inferior in suppression of heroin use. Buprenorphine was statistically significantly superior to placebo medication in retention of patients in treatment at low doses (RR=1.24; 95% CI: 1.06-1.45), high doses (RR=1.21; 95% CI: 1.02-1.44), and very high doses (RR=1.52; 95% CI: 1.23-1.88). However, only high and very high dose buprenorphine suppressed heroin use significantly above placebo. REVIEWER'S CONCLUSIONS: Buprenorphine is an effective intervention for use in the maintenance treatment of heroin dependence, but it is not more effective than methadone at adequate dosages."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "application/pdf"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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They are usually maintained with 10% fetal bovine serum (FBS) in vitro. Modified platelet-rich plasma (mPRP) would be a safe alternative to 10% FBS during SHEDs culture. Therefore, our study aimed to compare the proliferation and differentiation of SHEDs cultured in mPRP and FBS medium to explore an optimal concentration of mPRP for SHEDs maintenance. Platelets were harvested by automatic blood cell analyzer and activated by repeated liquid nitrogen freezing and thawing. The platelet-related cytokines were examined and analyzed by ELISA. SHEDs were extracted and cultured with different concentrations of mPRP or 10% FBS medium. Alkaline phosphatase (ALP) activity was measured. Mineralization factors, RUNX2 and OCN, were measured by real-time PCR. SHEDs were characterized with mesenchymal stem cells (MSCs) markers including vimentin, CD44, and CD105. mPRP at different concentrations (2, 5, 10, and 20%) enhanced the growth of SHEDs. Moreover, mPRP significantly stimulated ALP activity and promoted expression of RUNX2 and OCN compared with 10% FBS. mPRP could efficiently facilitate proliferation and differentiation of SHEDs, and 2% mPRP would be an optimal substitute for 10% FBS during SHEDs expansion and differentiation in clinical scale manufacturing."}], "format": [], "journal": {"issnPrinted": "1414-431X", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Brazilian Journal of Medical and Biological Research", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", 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The performance of both methods was analyzed based on two datasets: 1) a complete site x species matrix compiled from two studies in different land uses in the Amazon using direct analysis of field samples and trap cultures. 2) Total number of AMF morphotypes detected by both methods in published manuscripts across several ecosystems. From dataset 1, direct analysis of field samples revealed 57 morphotypes, whereas only 21 of these were detected by trap culture. Community variation (beta diversity) analysis revealed that field samples are far more sensitive in detecting shifts in AMF community composition among land uses than trap cultures in the Amazon region, with the combined results of both methods being not better than that obtained only by direct analysis of field samples. Analysis of dataset 2 showed that the relative performance of trap cultures, using direct analysis of field sample as reference, was inversely related to the total observed AMF species richness."}], "format": [], "journal": {"issnPrinted": "1678-2690", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Anais da Academia Brasileira de Ci\\xeancias", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824", "value": "DOAJ-Articles"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-15T08:56:22.261Z", "fulltext": [], "dateoftransformation": "2020-03-15T12:41:38.508Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Objective This study analyzed the maintenance of lateral incisors in the dental rehabilitation of individuals with cleft lip and palate. Material and Methods The study was conducted on a tertiary craniofacial center and comprised retrospective analysis of panoramic and periapical radiographs of Caucasoid individuals with non-syndromic complete unilateral cleft lip and palate, analyzing all radiographs available on the records of each individual, from the first to the last up to 12 years of age. Overall, 2,826 records were reviewed to achieve a sample of 1,000 individuals. Among these, 487 individuals presented the permanent lateral incisors on both cleft and non-cleft sides, which were included in this study. Results The results were evaluated in percentages and by descriptive statistics. The association between maintenance of the lateral incisor and timing of alveolar bone graft were analyzed by the t test. Among the 487 individuals, 265 had not completed treatment, 62 presented insufficient information, and 44 concluded the treatment elsewhere. Among the remaining 116 individuals, the lateral incisor was extracted from 88 (75.86%) of them on the cleft side (CS) and from 23 (19.83%) people on the non-cleft side (NCS). The age at accomplishment of alveolar bone graft was significantly associated with maintenance of the lateral incisor on the cleft side (p<0.01). Most extractions were indicated because of the inadequate positioning on the CS and for midline correction on the NCS. Rehabilitation was primarily completed by orthodontic movement (53 individuals on the CS and 13 individuals on the NCS). Conclusion In conclusion, the lateral incisor on the cleft side was not maintained in most individuals. Positive relationship was observed between extraction of the lateral incisor and age at accomplishment of the alveolar bone graft, suggesting the need to anticipate the initial radiographic evaluation to enhance its maintenance and reduce the procedures required for rehabilitation."}], "format": [], "journal": {"issnPrinted": "1678-7765", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Journal of Applied Oral Science", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-05-01"}, "coverage": 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MATERIAL AND METHODS: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. RESULTS: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. CONCLUSION: The aqueous extract showed biocompatible properties similar to those of saline."}], "format": [], "journal": {"issnPrinted": "1678-7757", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Journal of Applied Oral Science", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1678-7765", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-08-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Evaluation of tissue reaction to Aroeira (Myracrodruon urundeuva) extracts: a histologic and edemogenic study"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", 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Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "2211-3207", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "International Journal for Parasitology: Drugs and Drug Resistance", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, 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Abstract

Background

Mental health problems are a worldwide public health burden. The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later.

Methods

Longitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline.

Results

In boys, the number of hours spent on physical activity per week at age 15\\u201316 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18\\u201319 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18\\u201319 according to weekly hours of physical activity at age 15\\u201316 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15\\u201316 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18\\u201319, but the differences were not statistically significant after adjustments.

Conclusion

Weekly hours of physical activity at age 15\\u201316 years was weakly associated with mental health at three-year follow-up in boys. Results encourage a search for further knowledge about physical activity as a possible protective factor in relation to mental health problems in adolescence.

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R.", "pid": [], "rank": 1, "affiliation": [], "fullname": "Nelson J.R. Fagundes"}, {"surname": "", "name": "", "pid": [], "rank": 2, "affiliation": [], "fullname": "Alice Tagliani-Ribeiro"}, {"surname": "", "name": "", "pid": [], "rank": 3, "affiliation": [], "fullname": "Rohina Rubicz"}, {"surname": "", "name": "", "pid": [], "rank": 4, "affiliation": [], "fullname": "Larissa Tarskaia"}, {"surname": "Crawford", "name": "Michael H.", "pid": [], "rank": 5, "affiliation": [], "fullname": "Michael H. Crawford"}, {"surname": "Salzano", "name": "Francisco M.", "pid": [], "rank": 6, "affiliation": [], "fullname": "Francisco M. Salzano"}, {"surname": "Bonatto", "name": "Sandro L.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Sandro L. 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Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. Recognizing the size of the genetic bottleneck during the peopling of the Americas is important for determining the extent of genetic markers needed to characterize Native American populations in genome-wide studies and to evaluate the adaptive potential of genetic variants in this population."}], "format": [], "journal": {"issnPrinted": "1678-4685", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Genetics and Molecular Biology", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Sociedade Brasileira de Gen\\xe9tica"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:doaj.org/article:890de7eabf9b4658b8ce208d6641178c"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Genetics and Molecular Biology, Vol 41, Iss 1 suppl 1, Pp 206-214"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "How strong was the bottleneck associated to the peopling of the Americas? 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"name": "", "pid": [], "rank": 3, "affiliation": [], "fullname": "Marise Ventura Coutinho"}, {"surname": "", "name": "", "pid": [], "rank": 4, "affiliation": [], "fullname": "Daniel John Rigden"}, {"surname": "", "name": "", "pid": [], "rank": 5, "affiliation": [], "fullname": "Goran Neshich"}, {"surname": "", "name": "", "pid": [], "rank": 6, "affiliation": [], "fullname": "Maarten John Chrispeels"}, {"surname": "", "name": "", "pid": [], "rank": 7, "affiliation": [], "fullname": "Maria F\\xe1tima Grossi-de-S\\xe1"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|doajarticles::1c6d69b7645cde261d6e598085f9020d", "value": "Pesquisa Agropecu\\xe1ria Brasileira"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2004000300001", "https://doaj.org/toc/0100-204X", "https://doaj.org/toc/1678-3921"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": 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"description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Despite the presence of a family of defense proteins, Phaseolus vulgaris can be attacked by bruchid insects resulting in serious damage to stored grains. The two distinct active forms of a-amylase inhibitors, a-AI1 and a-AI2, in P. vulgaris show different specificity toward a-amylases. Zabrotes subfasciatus a-amylase is inhibited by a-AI2 but not by a-AI1. In contrast, porcine a-amylase is inhibited by a-AI1 but not by a-AI2. The objective of this work was to understand the molecular basis of the specificity of two inhibitors in P. vulgaris (a-AI1 and a-AI2) in relation to a-amylases. Mutants of a-AI2 were made and expressed in tobacco plants. The results showed that all the a-AI2 mutant inhibitors lost their activity against the insect a-amylases but none exhibited activity toward the mammalian a-amylase. The replacement of His33 of a-AI2 with the a-AI1-like sequence Ser-Tyr-Asn abolished inhibition of Z. subfasciatus a-amylase. From structural modeling, the conclusion is that the size and complexity of the amylase-inhibitor interface explain why mutation of the N-terminal loop and resultant abolition of Z. subfasciatus a-amylase inhibition are not accompanied by gain of inhibitory activity against porcine a-amylase.
Apesar de possuir uma fam\\xedlia de prote\\xednas de defesa, o feij\\xe3o-comum (Phaseolus vulgaris L.) pode ser atacado por insetos bruqu\\xeddeos causando s\\xe9rios danos aos gr\\xe3os armazenados. O P. vulgaris possui duas formas ativas de inibidores de a-amilases, denominadas a-AI1 e a-AI2, que apresentam diferentes especificidades em rela\\xe7\\xe3o \\xe0s a-amilases. A a-amilase de Zabrotes subfasciatus \\xe9 inibida por a-AI2 mas n\\xe3o por a-AI1. Em contraste, a a-amilase pancre\\xe1tica de porco \\xe9 inibida por a-AI1 mas n\\xe3o \\xe9 por a-AI2. O objetivo deste trabalho foi entender as bases moleculares da especificidade desses inibidores em rela\\xe7\\xe3o \\xe0s a-amilases. Para tanto, foram constru\\xeddos mutantes do a-AI2, os quais foram expressados em plantas de fumo. Todos os inibidores mutantes deixaram de inibir a a-amilase de inseto sem, contudo, passar a exibir atividade contra a a-amilase de mam\\xedfero. Os modelos estruturais explicam por que a substitui\\xe7\\xe3o de His33 do a-AI2 pela seq\\xfc\\xeancia correspondente do a-AI1 (Ser-Tyr-Asn) aboliu a inibi\\xe7\\xe3o da a-amilase de Z. subfasciatus. Dos estudos de modelagem molecular pode-se concluir que o tamanho e a complexidade da interface a-amilase-inibidor explicam por que a muta\\xe7\\xe3o da al\\xe7a N-terminal e a quebra da atividade inibit\\xf3ria para a-amilase de Z. subfasciatus n\\xe3o levam ao ganho de atividade inibit\\xf3ria do mutante em rela\\xe7\\xe3o \\xe0 a-amilase de porco."}], "format": [], "journal": {"issnPrinted": "0100-204X", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Pesquisa Agropecu\\xe1ria Brasileira", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1678-3921", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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The high resolution allows an accurate representation of the submarine canyons that presides in the region. The model is one-way coupled to a large scale model of the Mediterranean Sea through open boundaries and uses the atmospheric forcing fields provided in terms of HIRLAM outputs by the Spanish National Institute of Meteorology. Results show that the model can successfully reproduce the complex general circulation characteristics of the area, including the modifications induced by canyons in their vicinity and other phenomena observed such as instabilities and coastal trapped waves. The sea surface temperature is similar to satellite observations except that simulated temperatures are slightly warmer near the coast than observations and colder near the open boundaries. An important topic of this work is the computation of the shelf-slope exchanges, which are able to renew shelf waters in a few months."}], "format": [], "journal": {"issnPrinted": "1812-0784", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Ocean Science", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1812-0792", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2006-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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"dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-10-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|driver______::bee53aa31dc2cbb538c10c2b65fa5824", "value": "DOAJ-Articles"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-15T07:28:17.941Z", "fulltext": [], "dateoftransformation": "2020-03-15T22:18:49.506Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BACKGROUND The first dengue cases in Brazil with laboratory confirmation occurred in the northern region of the country, with the isolation of two serotypes, dengue virus 1 (DENV-1) and DENV-4. In Cear\\xe1, the introduction of DENV-4 was reported during a DENV-1 epidemic in 2011, with only two isolations. OBJECTIVES The aim of this study was to characterise the first DENV-4 epidemic in the state of Cear\\xe1, Brazil. METHODS The study population was composed of patients with suspected dengue that were reported to health care units from January to December 2012. The laboratory confirmation of infection was made by viral isolation, reverse transcription polymerase chain reaction (RT-PCR), AgNS1, immunohistochemistry and IgM enzyme-linked immunosorbent assay (ELISA). MAIN CONCLUSIONS In the study year, 72,211 suspected dengue cases were reported and 51,865 of these cases (71.8%) were confirmed to be positive. Co-circulation of three serotypes, DENV-1, DENV-3 and DENV-4, was detected with a predominance of DENV-4 (95.3%). Most cases were not severe, but there were 44 fatal outcomes. 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"inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2019-02-15", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "<p><strong>Abstract.</strong> This paper reviews multi-proxy paleoclimatic reconstructions with robust age-control derived from lacustrine, dendrochronological and geomorphological records and characterizes the main environmental changes that occurred in the Southern Pyrenees during the last millennium. Warmer and relatively arid conditions prevailed during the Medieval Climate Anomaly (MCA, ca. 900\\u20131300 AD), with a significant development of xerophytes and Mediterranean vegetation and limited deciduous tree formations (mesophytes). The Little Ice Age (LIA, 1300\\u20131800 AD) was generally colder and moister, with an expansion of deciduous taxa and cold-adapted montane conifers. Two major phases occurred within this period: (i) a transition MCA\\u2013LIA, characterized by fluctuating, moist conditions and relatively cold temperatures (ca. 1300 and 1600 AD); and (ii) a second period, characterized by the coldest and most humid conditions, coinciding with maximum (recent) glacier advances (ca. 1600\\u20131800 AD). Glaciers retreated after the LIA when warmer and more arid conditions dominated, interrupted by a short-living cooling episode during the late 19th to early 20th centuries. Some records suggest a response to solar activity with colder and slightly moister conditions during solar minima. Centennial-scale hydrological fluctuations are in phase with reconstructions of NAO variability, which appears to be one of the main climate mechanisms influencing rainfall variations in the region during the last millennium.</p>"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "This paper reviews multi-proxy paleoclimatic reconstructions with robust age-control derived from lacustrine, dendrochronological and geomorphological records and characterizes the main environmental changes that occurred in the Southern Pyrenees during the last millennium. Warmer and relatively arid conditions prevailed during the Medieval Climate Anomaly (MCA, ca. 900\\u20131300 AD), with a significant development of xerophytes and Mediterranean vegetation and limited deciduous tree formations (mesophytes). The Little Ice Age (LIA, 1300\\u20131800 AD) was generally colder and moister, with an expansion of deciduous taxa and cold-adapted montane conifers. Two major phases occurred within this period: (i) a transition MCA\\u2013LIA, characterized by fluctuating, moist conditions and relatively cold temperatures (ca. 1300 and 1600 AD); and (ii) a second period, characterized by the coldest and most humid conditions, coinciding with maximum (recent) glacier advances (ca. 1600\\u20131800 AD). Glaciers retreated after the LIA when warmer and more arid conditions dominated, interrupted by a short-living cooling episode during the late 19th to early 20th centuries. Some records suggest a response to solar activity with colder and slightly moister conditions during solar minima. Centennial-scale hydrological fluctuations are in phase with reconstructions of NAO variability, which appears to be one of the main climate mechanisms influencing rainfall variations in the region during the last millennium."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Copernicus GmbH", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1814-9332", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-3-30"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", 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String iteration is a variation on the original binary version of the Kleene star operation p*q obtained by restricting the first argument to be a non-empty sequence of atomic actions. We show that, for every positive integer k, bisimulation equivalence over the set of processes in this language with loops of length at most k is finitely axiomatizable. We also offer a countably infinite equational theory that completely axiomatizes bisimulation equivalence over the whole language. We prove that this result cannot be improved upon by showing that no finite equational axiomatization of bisimulation equivalence over basic CCS with string iteration can exist, unless the set of actions is empty."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"We study equational axiomatizations of bisimulation equivalence for the language obtained by extending Milner's basic CCS with string iteration. String iteration is a variation on the original binary version of the Kleene star operation p*q obtained by restricting the first argument to be a non-empty sequence of atomic actions. We show that, for every positive integer k, bisimulation equivalence over the set of processes in this language with loops of length at most k is finitely axiomatizable. We also offer a countably infinite equational theory that completely axiomatizes bisimulation equivalence over the whole language. 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The increase of private health care plans and the implementation of the \\u201cSmiling Brazil\\u201d Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in Sao Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Springer Nature", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1472-6963", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-1"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "language": {"classid": "und", "classname": "Undetermined", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["10.1186/s12913-016-1928-y"], "source": [], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003\\u20132008"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:actionset", "classname": "sysimport:actionset", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1055/sos-sd-012-00797"}], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "published-online", "classname": "published-online", "schemeid": "dnet:dataCite_date", "schemename": "dnet:dataCite_date"}, "value": "2002-1-1"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "published-print", "classname": "published-print", "schemeid": "dnet:dataCite_date", "schemename": "dnet:dataCite_date"}, "value": "2002-1-1"}], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::081b82f96300b6a6e3d282bad31cb6e2", "value": "Crossref"}], "id": "50|doiboost____::0ec386b46d4571b066dd00d889c70bb4", "subject": [], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Hajos", "name": "G.", "pid": [], "rank": 1, "affiliation": [], "fullname": "G. 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Here, we tested whether deletion of PARP-2, an alternative NAD+-consuming enzyme, impacts on NAD+ bioavailability and SIRT1 activity. Our results indicate that PARP-2 deficiency increases SIRT1 activity in cultured myotubes. However, this increase was not due to changes in NAD+ levels, but to an increase in SIRT1 expression, as PARP-2 acts as a direct negative regulator of the SIRT1 promoter. PARP-2 deletion in mice increases SIRT1 levels, promotes energy expenditure, and increases mitochondrial content. Furthermore, PARP-2\\u2212/\\u2212 mice were protected against diet-induced obesity. Despite being insulin sensitized, PARP-2\\u2212/\\u2212 mice were glucose intolerant due to a defective pancreatic function. 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I would like to suggest three additional impeding factors. The first is that there are too many different kinds of providers' trying to address the same problem in sometimes incompatible ways. It is clearly essential to define health care in terms of what people actually need, but endeavors to do so have moved under a variety of banners\\u2014family medicine, holistic treatment, practices sponsored by hospitals and private corporations, and now community-oriented primary care. As a family physician, I see this as constantly reinventing the wheel, each time using new words that confuse people and creating new and overlapping constituencies. 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The MSV-MIDAS model is estimated via maximum likelihood (ML) methods. The estimation relies on a slightly modified version of Hamilton's recursive filter. We use Monte Carlo simulations to assess the robustness of the estimation procedure and related test statistics. The results show that ML provides accurate estimates, but they suggest some caution in interpreting the tests of the parameters involved in the transition probabilities. We apply this new model to the detection and forecasting of business cycle turning points in the United States. We properly detect recessions by exploiting the link between GDP growth and higher frequency variables from financial and energy markets. The spread term is a particularly useful indicator to predict recessions in the United States. 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The resulting QDs have been successfully used to probe multivalent interactions of HIV/Ebola receptors DC-SIGN and DC-SIGNR (collectively termed as DC-SIGN/R) using a sensitive, ratiometric Forster resonance energy transfer (FRET) assay. The QD probes specifically bind DC-SIGN, but not its closely related receptor DC-SIGNR, which is further confirmed by its specific blocking of DC-SIGN engagement with the Ebola virus glycoprotein. Tuning the QD surface mannose valency reveals that DC-SIGN binds more efficiently to densely packed mannosides. A FRET-based thermodynamic study reveals that the binding is enthalpy-driven. 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"trust": ""}, "value": "Macrocyclic lactones (ML) are important anthelmintics used in animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "2211-3207", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Elsevier BV", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-1"}, "coverage": [], 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Recently it has received a lot of attention as a substrate to grow and isolate graphene as well as for its intrinsic UV lasing response. Similar to carbon, one-dimensional boron nitride nanotubes (BNNTs) have been theoretically predicted and later synthesised. Here we use first principles simulations to unambiguously demonstrate that i) BN nanotubes inherit the highly efficient UV luminescence of hexagonal BN; ii) the application of an external perpendicular field closes the electronic gap keeping the UV lasing with lower yield; iii) defects in BNNTS are responsible for tunable light emission from the UV to the visible controlled by a transverse electric field (TEF). 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"inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "ABSTRACTThis paper introduces a Markov-switching model in which transition probabilities depend on higher frequency indicators and their lags through polynomial weighting schemes. The MSV-MIDAS model is estimated through maximum likelihood (ML) methods with a slightly modified version of Hamilton\\u2019s filter. Monte Carlo simulations show that ML provides accurate estimates, but they suggest some caution in interpreting the tests of the parameters in the transition probabilities. We apply this new model to forecast business cycle turning points in the United States. 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Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. 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The high resolution al- lows an accurate representation of the submarine canyons that presides in the region. The model is one-way coupled to a large scale model of the Mediterranean Sea through open boundaries and uses the atmospheric forcing fields provided in terms of HIRLAM outputs by the Spanish National Insti- tute of Meteorology. Results show that the model can suc- cessfully reproduce the complex general circulation charac- teristics of the area, including the modifications induced by canyons in their vicinity and other phenomena observed such as instabilities and coastal trapped waves. The sea surface temperature is similar to satellite observations except that simulated temperatures are slightly warmer near the coast than observations and colder near the open boundaries. 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Material and Methods The study was conducted on a tertiary craniofacial center and comprised retrospective analysis of panoramic and periapical radiographs of Caucasoid individuals with non-syndromic complete unilateral cleft lip and palate, analyzing all radiographs available on the records of each individual, from the first to the last up to 12 years of age. Overall, 2,826 records were reviewed to achieve a sample of 1,000 individuals. Among these, 487 individuals presented the permanent lateral incisors on both cleft and non-cleft sides, which were included in this study. Results The results were evaluated in percentages and by descriptive statistics. The association between maintenance of the lateral incisor and timing of alveolar bone graft were analyzed by the t test. Among the 487 individuals, 265 had not completed treatment, 62 presented insufficient information, and 44 concluded the treatment elsewhere. Among the remaining 116 individuals, the lateral incisor was extracted from 88 (75.86%) of them on the cleft side (CS) and from 23 (19.83%) people on the non-cleft side (NCS). The age at accomplishment of alveolar bone graft was significantly associated with maintenance of the lateral incisor on the cleft side (p<0.01). Most extractions were indicated because of the inadequate positioning on the CS and for midline correction on the NCS. Rehabilitation was primarily completed by orthodontic movement (53 individuals on the CS and 13 individuals on the NCS). Conclusion In conclusion, the lateral incisor on the cleft side was not maintained in most individuals. Positive relationship was observed between extraction of the lateral incisor and age at accomplishment of the alveolar bone graft, suggesting the need to anticipate the initial radiographic evaluation to enhance its maintenance and reduce the procedures required for rehabilitation."}], "format": [], "journal": {"issnPrinted": "1678-7757", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "FapUNIFESP (SciELO)", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1678-7765", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-5-7"}, "coverage": [], 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In Ceara, the introduction of DENV-4 was reported during a DENV-1 epidemic in 2011, with only two isolations. OBJECTIVES The aim of this study was to characterise the first DENV-4 epidemic in the state of Ceara, Brazil. METHODS The study population was composed of patients with suspected dengue that were reported to health care units from January to December 2012. The laboratory confirmation of infection was made by viral isolation, reverse transcription polymerase chain reaction (RT-PCR), AgNS1, immunohistochemistry and IgM enzyme-linked immunosorbent assay (ELISA). MAIN CONCLUSIONS In the study year, 72,211 suspected dengue cases were reported and 51,865 of these cases (71.8%) were confirmed to be positive. Co-circulation of three serotypes, DENV-1, DENV-3 and DENV-4, was detected with a predominance of DENV-4 (95.3%). Most cases were not severe, but there were 44 fatal outcomes. 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"dateofcollection": "2019-02-15", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "ABSTRACT\\n \\n Nontypeable\\n Haemophilus influenzae\\n (NTHi) is an opportunistic pathogen that mainly causes otitis media in children and community-acquired pneumonia or exacerbations of chronic obstructive pulmonary disease in adults. A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in\\n in vitro\\n experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of \\u03b2-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with \\u03b2-lactam antibiotics, especially for \\u03b2-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation.\\n \\n \\n IMPORTANCE\\n Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for\\n Haemophilus influenzae\\n biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of \\u03b2-lactam antibiotics, which are often prescribed to treat\\n H.\\xa0influenzae\\n infections, increase biofilm formation through a similar mechanism. Therefore, when \\u03b2-lactam antibiotics do not reach their MIC\\n in vivo\\n , they might not only drive selection for \\u03b2-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds.\\n "}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "American Society for Microbiology", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "2379-5042", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-1-18"}, "coverage": [], "publisher": {"dataInfo": 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No thoughtful person can argue with the logic of this approach. How can one believe that improvements in health can occur without thorough epidemiologic knowledge of health problems that exist in a community or a society? How can preventive, rehabilitative, or curative services be fully effective if one knows little or nothing about the cultural, educational, economic, or psychological factors that can create barriers to care, isolate groups, and increase personal health risks for community inhabitants? No one in modern society can believe that a physician working in isolation, and simply treating those who come to him on a one-on-one basis, can produce a healthy society. 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Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. 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Material and methods: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For groups consisted of aqueous and ethanolic Aroeira extracts and saline Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p > 0.05). Ethanolic solution resulted in more edema independently of the experimental period (p < 0.05). 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No. of bitstreams: 5\\nMutants of common bean alpha_amylase inhibitor_2.PDF: 128607 bytes, checksum: ea73a49dc66da14a08f402c9d8cfe551 (MD5)\\nlicense_url: 52 bytes, checksum: 2f32edb9c19a57e928372a33fd08dba5 (MD5)\\nlicense_text: 24372 bytes, checksum: 94b0a37ff5ec51de8c55507bff4a7ff9 (MD5)\\nlicense_rdf: 24623 bytes, checksum: 378d22d8fe50e084ee2f354be78cbe62 (MD5)\\nlicense.txt: 1887 bytes, checksum: 445d1980f282ec865917de35a4c622f6 (MD5)\\n Previous issue date: 2004-03\\nDespite the presence of a family of defense proteins, Phaseolus vulgaris can be attacked by bruchid\\ninsects resulting in serious damage to stored grains. The two distinct active forms of \\u03b1-amylase inhibitors, \\u03b1-AI1\\nand \\u03b1-AI2, in P. vulgaris show different specificity toward \\u03b1-amylases. Zabrotes subfasciatus \\u03b1-amylase is\\ninhibited by \\u03b1-AI2 but not by \\u03b1-AI1. In contrast, porcine \\u03b1-amylase is inhibited by \\u03b1-AI1 but not by \\u03b1-AI2. The\\nobjective of this work was to understand the molecular basis of the specificity of two inhibitors in P. vulgaris\\n(\\u03b1-AI1 and \\u03b1-AI2) in relation to \\u03b1-amylases. Mutants of \\u03b1-AI2 were made and expressed in tobacco plants. The\\nresults showed that all the \\u03b1-AI2 mutant inhibitors lost their activity against the insect \\u03b1-amylases but none\\nexhibited activity toward the mammalian \\u03b1-amylase. The replacement of His33 of \\u03b1-AI2 with the \\u03b1-AI1-like\\nsequence Ser-Tyr-Asn abolished inhibition of Z. subfasciatus \\u03b1-amylase. 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No. of bitstreams: 0\\n Previous issue date: 2012-07-01\\nMade available in DSpace on 2013-09-30T18:30:31Z (GMT). No. of bitstreams: 0\\n Previous issue date: 2012-07-01\\nSubmitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-20T13:44:11Z\\nNo. of bitstreams: 0\\nMade available in DSpace on 2014-05-20T13:44:11Z (GMT). No. of bitstreams: 0\\n Previous issue date: 2012-07-01\\nCoordena\\xe7\\xe3o de Aperfei\\xe7oamento de Pessoal de N\\xedvel Superior (CAPES)\\nObjectives: This study evaluated subcutaneous tissue response to Aroeira (Myracrodruon urundeuva) extract employing edemogenic and histological analyses. Material and methods: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For groups consisted of aqueous and ethanolic Aroeira extracts and saline Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p > 0.05). Ethanolic solution resulted in more edema independently of the experimental period (p < 0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. 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The performance of both methods was analyzed based on two datasets: 1) a complete site x species matrix compiled from two studies in different land uses in the Amazon using direct analysis of field samples and trap cultures. 2) Total number of AMF morphotypes detected by both methods in published manuscripts across several ecosystems. From dataset 1, direct analysis of field samples revealed 57 morphotypes, whereas only 21 of these were detected by trap culture. Community variation (beta diversity) analysis revealed that field samples are far more sensitive in detecting shifts in AMF community composition among land uses than trap cultures in the Amazon region, with the combined results of both methods being not better than that obtained only by direct analysis of field samples. Analysis of dataset 2 showed that the relative performance of trap cultures, using direct analysis of field sample as reference, was inversely related to the total observed AMF species richness."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Academia Brasileira de Ci\\xeancias"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:scielo:S0001-37652017005017105"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Anais da Academia Brasileira de Ci\\xeancias n.ahead 2017"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "reponame:Anais da Academia Brasileira de Ci\\xeancias"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "instname:ABC"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "instacron:ABC"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Assessment of the occurrence and richness of arbuscular mycorrhizal fungal spores by direct analysis of field samples and trap culture - 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No. of bitstreams: 0\\n Previous issue date: 2009-12-01\\nMade available in DSpace on 2015-11-25T19:19:41Z (GMT). No. of bitstreams: 2\\nS1517-83822009000400019.pdf: 200940 bytes, checksum: 1777d3b67ffff6a12f7fd5e5d25fe530 (MD5)\\nS1517-83822009000400019.pdf.txt: 20125 bytes, checksum: 44e81b8448679e3abad7b2470dd24899 (MD5)\\n Previous issue date: 2009-12-01\\nThis study aimed at isolating and characterizing of microorganisms able to use linamarin as sole carbon source. Thirty one microbial strains were isolated from manipueira, a liquid effluent of cassava processing factories. 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{"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-06T22:08:30.467Z", "fulltext": [], "dateoftransformation": "2020-03-08T23:25:38.587Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BACKGROUND The first dengue cases in Brazil with laboratory confirmation occurred in the northern region of the country, with the isolation of two serotypes, dengue virus 1 (DENV-1) and DENV-4. In Cear\\xe1, the introduction of DENV-4 was reported during a DENV-1 epidemic in 2011, with only two isolations. OBJECTIVES The aim of this study was to characterise the first DENV-4 epidemic in the state of Cear\\xe1, Brazil. METHODS The study population was composed of patients with suspected dengue that were reported to health care units from January to December 2012. The laboratory confirmation of infection was made by viral isolation, reverse transcription polymerase chain reaction (RT-PCR), AgNS1, immunohistochemistry and IgM enzyme-linked immunosorbent assay (ELISA). MAIN CONCLUSIONS In the study year, 72,211 suspected dengue cases were reported and 51,865 of these cases (71.8%) were confirmed to be positive. Co-circulation of three serotypes, DENV-1, DENV-3 and DENV-4, was detected with a predominance of DENV-4 (95.3%). Most cases were not severe, but there were 44 fatal outcomes. DENV-4 Genotype II was identified for the first time in Cear\\xe1."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "coverage": [], "publisher": 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"Inequalities in health care services"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Health surveys"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Monteiro", "name": "Camila Nascimento", "pid": [], "rank": 1, "affiliation": [], "fullname": "Monteiro, Camila Nascimento"}, {"surname": "Beenackers", "name": "Marie\\u0308lle A.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Beenackers, Mari\\xeblle A."}, {"surname": "Goldbaum", "name": "Moises", "pid": [], "rank": 3, "affiliation": [], "fullname": "Goldbaum, Moises"}, {"surname": "Barros", "name": "Marilisa Berti Azevedo", "pid": [], "rank": 4, "affiliation": [], "fullname": "Barros, Marilisa Berti de Azevedo"}, {"surname": "Gianini", "name": "Reinaldo Jose\\u0301", "pid": [], "rank": 5, "affiliation": [], "fullname": "Gianini, Reinaldo Jos\\xe9"}, {"surname": "Cesar", "name": "Chester Luiz Galvao", "pid": [], "rank": 6, "affiliation": [], "fullname": "Cesar, Chester Luiz Galvao"}, {"surname": "Mackenbach", "name": "Johan P.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Mackenbach, Johan P."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::dc6e224a8d74ce03bf301152d6e33e97", "value": "LA Referencia"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://www.producao.usp.br/handle/BDPI/51184"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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"description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract\\n \\n Background\\n Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the \\u201cSmiling Brazil\\u201d Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S\\xe3o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003.\\n \\n \\n Method\\n Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored.\\n \\n \\n Results\\n Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups.\\n \\n \\n Conclusions\\n The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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{"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "instname:USP"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003\\u20132008"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": 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C. M. Da", "pid": [], "rank": 1, "affiliation": [], "fullname": "SILVA, M.C.M. da"}, {"surname": "Mello", "name": "L. V.", "pid": [], "rank": 2, "affiliation": [], "fullname": "MELLO, L.V."}, {"surname": "Coutinho", "name": "M. V.", "pid": [], "rank": 3, "affiliation": [], "fullname": "COUTINHO, M.V."}, {"surname": "Rigden", "name": "D. J.", "pid": [], "rank": 4, "affiliation": [], "fullname": "RIGDEN, D.J."}, {"surname": "Neshich", "name": "G.", "pid": [], "rank": 5, "affiliation": [], "fullname": "NESHICH, G."}, {"surname": "Chrispeels", "name": "M. J.", "pid": [], "rank": 6, "affiliation": [], "fullname": "CHRISPEELS, M.J."}, {"surname": "Grossi-De-Sa\\u0301", "name": "M. F.", "pid": [], "rank": 7, "affiliation": [], "fullname": "GROSSI-DE-S\\xc1, M.F."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::dc6e224a8d74ce03bf301152d6e33e97", "value": "LA Referencia"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://www.alice.cnptia.embrapa.br/handle/doc/110087", "http://ainfo.cnptia.embrapa.br/digital/bitstream/AI-SEDE/26490/1/v39n03a01.pdf"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2004-01-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::dc6e224a8d74ce03bf301152d6e33e97", "value": "LA Referencia"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-06T19:06:28.786Z", "fulltext": [], "dateoftransformation": "2020-03-09T11:05:49.071Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Despite the presence of a family of defense proteins, Phaseolus vulgaris can be attacked by bruchid insects resulting in serious damage to stored grains. The two distinct active forms of a-amylase inhibitors, a-AI1 and a-AI2, in P. vulgaris show different specificity toward a-amylases. Zabrotes subfasciatus a-amylase is inhibited by a-AI2 but not by a-AI1. In contrast, porcine a-amylase is inhibited by a-AI1 but not by a-AI2. The objective of this work was to understand the molecular basis of the specificity of two inhibitors in P. vulgaris (a-AI1 and a-AI2) in relation to a-amylases. Mutants of a-AI2 were made and expressed in tobacco plants. The results showed that all the a-AI2 mutant inhibitors lost their activity against the insect a-amylases but none exhibited activity toward the mammalian a-amylase. The replacement of His33 of a-AI2 with the a-AI1-like sequence Ser-Tyr-Asn abolished inhibition of Z. subfasciatus a-amylase. From structural modeling, the conclusion is that the size and complexity of the amylase-inhibitor interface explain why mutation of the N-terminal loop and resultant abolition of Z. subfasciatus a-amylase inhibition are not accompanied by gain of inhibitory activity against porcine a-amylase.\\nMade available in DSpace on 2011-04-09T12:30:48Z (GMT). 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Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. 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No. of bitstreams: 1\\nwos2012-2315_en.pdf: 1140692 bytes, checksum: 5d0dfabfd91477f637f156297db56f46 (MD5)\\n Previous issue date: 2012\\nCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)\\nCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)\\nObjectives: This study evaluated subcutaneous tissue response to Aroeira (Myracrodruon urundeuva) extract employing edemogenic and histological analyses. Material and methods: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For groups consisted of aqueous and ethanolic Aroeira extracts and saline Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p > 0.05). Ethanolic solution resulted in more edema independently of the experimental period (p < 0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. 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No. of bitstreams: 0\\n Previous issue date: 1998\\nMade available in DSpace on 2015-11-26T15:21:42Z (GMT). No. of bitstreams: 0\\n Previous issue date: 1998\\nWe show that pulsar velocities may arise from anisotropic neutrino emission induced by resonant conversions of massless neutrinos in the presence of a strong magnetic field. The main ingredient is a small weak universality violation and neither neutrino masses nor magnetic moments are required.\\n81\\n12\\n2412\\n2415\\nLyne, A.G., Lorimer, D.R., (1994) Nature (London), 369, p. 127\\nChugai, N.N., (1984) Sov. Astron. Lett., 10, p. 87\\nVilenkin, A., (1995) Astrophys. J., 451, p. 700. , Dong Lai and Y.-Z. Qian, astro-ph/9712043\\nKusenko, A., Segre, G., (1996) Phys. Rev. Lett., 77, p. 4872\\nMikheyev, M., Smirnov, A., (1986) Sov. J. Nucl. Phys., 42, p. 913\\nWolfenstein, L., (1978) Phys. Rev. D, 17, p. 2369\\n(1979) Phys. Rev. D, 20, p. 2634\\nD'Olivo, J.C., Nieves, J.F., Pal, P.B., (1989) Phys. Rev. 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Phys., 26, p. 91\\nSchechter, J., Valle, J.W.F., (1980) Phys. Rev. D, 22, p. 2227\\nGronau, M., Leung, C.N., Rosner, J.L., (1984) Phys. Rev. D, 29, p. 2539\\nLangacker, P., London, D., (1988) Phys. Rev. D, 38, p. 886\\n(1988) Phys. Rev. D, 38, p. 907\\nIlakovac, A., Pilaftsis, A., (1995) Nucl. Phys., B437, p. 491\\nNardi, E., Roulet, E., Tommasini, D., (1995) Phys. Lett. B, 344, p. 225\\nSuzuki, H., (1994) Physics and Astrophysics of Neutrinos, p. 763. , edited by M. Fukugita and A. Suzuki Springer-Verlag, Tokyo\\nWilson, J.R., Mayle, R., (1989) Advanced Study Institute on the Nuclear Equation of State, 216 A, p. 731. , edited by Walter Greiner and Horst St\\xf6cker, NATO ASI, Ser. B, Plenum Press, New York, H.-Th. Janka and W. Keil, astro-ph/9709210\\nSusuki, H., private communicationNunokawa, H., Semikoz, V.B., Smirnov, A.Yu., Valle, J.W.F., (1997) Nucl. Phys., B501, p. 17\\nThompson, C., Duncan, R., (1993) Astrophys. 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Material and methods: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For groups consisted of aqueous and ethanolic Aroeira extracts and saline Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p > 0.05). Ethanolic solution resulted in more edema independently of the experimental period (p < 0.05). 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No. of bitstreams: 1\\n12913_2016_Article_1928.pdf: 448641 bytes, checksum: 476068e13972398a4cf2ac850756e91e (MD5)\\n Previous issue date: 2016-12-07\\nS\\xe3o Paulo Research Foundation-FAPESP. Process 2012/214153-0 and\\n2013/26687-2.\\nNational Council for Scientific and Technological Development (CNPq).\\nThe surveys were financed by the Municipal Health Secretary of S\\xe3o Paulo.\\nResearchers from three universities in S\\xe3o Paulo state (University of Sao\\nPaulo, University of Campinas and University of the State of S\\xe3o Paulo)\\nparticipated in administering the surveys.\\nAbstract\\n \\n Background\\n Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the \\u201cSmiling Brazil\\u201d Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S\\xe3o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003.\\n \\n \\n Method\\n Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored.\\n \\n \\n Results\\n Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups.\\n \\n \\n Conclusions\\n The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. 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"instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-06T19:32:24.281Z", "fulltext": [], "dateoftransformation": "2020-03-10T13:01:30.394Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Sao Paulo Research Foundation-FAPESP [2012/214153-0, 2013/26687-2]\\nNational Council for Scientific and Technological Development (CNPq)\\nMade available in DSpace on 2017-11-13T13:21:11Z (GMT). No. of bitstreams: 1\\n000391882500001.pdf: 441415 bytes, checksum: f66ad4c53af317f4f6cec06ac56dfea6 (MD5)\\n Previous issue date: 2016\\nAccess to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the \"Smiling Brazil\" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in Sao Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Method: Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Results: Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. Conclusions: The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. 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The two distinct active forms of a-amylase inhibitors, a-AI1 and a-AI2, in P. vulgaris show different specificity toward a-amylases. Zabrotes subfasciatus a-amylase is inhibited by a-AI2 but not by a-AI1. In contrast, porcine a-amylase is inhibited by a-AI1 but not by a-AI2. The objective of this work was to understand the molecular basis of the specificity of two inhibitors in P. vulgaris (a-AI1 and a-AI2) in relation to a-amylases. Mutants of a-AI2 were made and expressed in tobacco plants. The results showed that all the a-AI2 mutant inhibitors lost their activity against the insect a-amylases but none exhibited activity toward the mammalian a-amylase. The replacement of His33 of a-AI2 with the a-AI1-like sequence Ser-Tyr-Asn abolished inhibition of Z. subfasciatus a-amylase. 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urundeuva) extract employing edemogenic and histological analyses. MATERIAL AND METHODS: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. RESULTS: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). 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They are usually maintained with 10% fetal bovine serum (FBS) in vitro. Modified platelet-rich plasma (mPRP) would be a safe alternative to 10% FBS during SHEDs culture. Therefore, our study aimed to compare the proliferation and differentiation of SHEDs cultured in mPRP and FBS medium to explore an optimal concentration of mPRP for SHEDs maintenance. Platelets were harvested by automatic blood cell analyzer and activated by repeated liquid nitrogen freezing and thawing. The platelet-related cytokines were examined and analyzed by ELISA. SHEDs were extracted and cultured with different concentrations of mPRP or 10% FBS medium. Alkaline phosphatase (ALP) activity was measured. Mineralization factors, RUNX2 and OCN, were measured by real-time PCR. SHEDs were characterized with mesenchymal stem cells (MSCs) markers including vimentin, CD44, and CD105. mPRP at different concentrations (2, 5, 10, and 20%) enhanced the growth of SHEDs. Moreover, mPRP significantly stimulated ALP activity and promoted expression of RUNX2 and OCN compared with 10% FBS. mPRP could efficiently facilitate proliferation and differentiation of SHEDs, and 2% mPRP would be an optimal substitute for 10% FBS during SHEDs expansion and differentiation in clinical scale manufacturing."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": 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[{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Investigation of modified platelet-rich plasma (mPRP) in promoting the proliferation and differentiation of dental pulp stem cells from deciduous teeth"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": 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"value": "Cleft palate"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Oral rehabilitation"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Tereza", "name": "Guida Paola Genovez", "pid": [], "rank": 1, "affiliation": [], "fullname": "Tereza,Guida Paola Genovez"}, {"surname": "Santos", "name": "Marcos Anto\\u0302nio Corre\\u0302a Dos", "pid": [], "rank": 2, "affiliation": [], "fullname": "Santos,Marcos Ant\\xf4nio Corr\\xeaa dos"}, 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Referencia"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572018000100438"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|openaire____::dc6e224a8d74ce03bf301152d6e33e97", "value": "LA Referencia"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2020-03-06T20:13:49.905Z", "fulltext": [], "dateoftransformation": "2020-03-10T21:25:42.582Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Objective This study analyzed the maintenance of lateral incisors in the dental rehabilitation of individuals with cleft lip and palate. Material and Methods The study was conducted on a tertiary craniofacial center and comprised retrospective analysis of panoramic and periapical radiographs of Caucasoid individuals with non-syndromic complete unilateral cleft lip and palate, analyzing all radiographs available on the records of each individual, from the first to the last up to 12 years of age. Overall, 2,826 records were reviewed to achieve a sample of 1,000 individuals. Among these, 487 individuals presented the permanent lateral incisors on both cleft and non-cleft sides, which were included in this study. Results The results were evaluated in percentages and by descriptive statistics. The association between maintenance of the lateral incisor and timing of alveolar bone graft were analyzed by the t test. Among the 487 individuals, 265 had not completed treatment, 62 presented insufficient information, and 44 concluded the treatment elsewhere. Among the remaining 116 individuals, the lateral incisor was extracted from 88 (75.86%) of them on the cleft side (CS) and from 23 (19.83%) people on the non-cleft side (NCS). The age at accomplishment of alveolar bone graft was significantly associated with maintenance of the lateral incisor on the cleft side (p<0.01). Most extractions were indicated because of the inadequate positioning on the CS and for midline correction on the NCS. Rehabilitation was primarily completed by orthodontic movement (53 individuals on the CS and 13 individuals on the NCS). Conclusion In conclusion, the lateral incisor on the cleft side was not maintained in most individuals. Positive relationship was observed between extraction of the lateral incisor and age at accomplishment of the alveolar bone graft, suggesting the need to anticipate the initial radiographic evaluation to enhance its maintenance and reduce the procedures required for rehabilitation."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", 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"inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Journal of Applied Oral Science v.26 2018"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "reponame:Journal of Applied Oral Science"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "instname:Universidade de S\\xe3o Paulo"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "instacron:USP"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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MATERIAL AND METHODS: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. RESULTS: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). 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The increase of private health care plans and the implementation of the \"Smiling Brazil\" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S\\xe3o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. __Method:__ Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. 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The decays of entangled neutral B mesons into definite flavor states (B-0 or (B) over bar (0)), and J/psi K-L(0) or c (c) over barK(S)(0) final states (referred to as B+ or B-), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, (B) over bar (0) -> B- and B- -> (B) over bar (0), as a function of the time difference between the two B decays. Using 468 X 10(6) B (B) over bar pairs produced in Y(4S) decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding Delta S-T(+) = -137 +/- 0.14(stat) +/- 0.06(syst) and Delta S-T(-) = 1.17 +/- 0.18(stat) +/- 0.11(syst). 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A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of beta-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with beta-lactam antibiotics, especially for beta-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of beta-lactam antibiotics, which are often prescribed to treat H. influenzae infections, increase biofilm formation through a similar mechanism. 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Background: Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step. Results: We used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5 to 1.1 % higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4 % lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5 days, while the standard analysis including all sequence-based variants took more than three months. Conclusions: The split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds.

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Mental health problems are a worldwide public health burden. Among adults some evidence suggests that physical activity is a protective factor in relation to mental health problems. The same body of literature is not present among adolescents. With regard to prevention of mental health problems it is important to identify vulnerable groups that need special attention. If physical activity can be a preventive strategy,\\nknowledge of physical activity in subgroups of adolescents is important. With an increasing influx of immigrants to the Western parts of the world, cultural/ethnic background has become an important factor when studying health and health behaviour in a public health perspective. 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The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later. \\n\\nMethods:\\n\\nLongitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline. \\n\\nResults:\\n\\nIn boys, the number of hours spent on physical activity per week at age 15\\u201316 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18\\u201319 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18\\u201319 according to weekly hours of physical activity at age 15\\u201316 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15\\u201316 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18\\u201319, but the differences were not statistically significant after adjustments. \\n\\nConclusion:\\n\\nWeekly hours of physical activity at age 15\\u201316 years was weakly associated with mental health at three-year follow-up in boys. 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The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later. \\n\\nMethods:\\n\\nLongitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". 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The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later.\\n \\n \\n Methods\\n Longitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline.\\n \\n \\n Results\\n In boys, the number of hours spent on physical activity per week at age 15\\u201316 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18\\u201319 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18\\u201319 according to weekly hours of physical activity at age 15\\u201316 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15\\u201316 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18\\u201319, but the differences were not statistically significant after adjustments.\\n \\n \\n Conclusion\\n Weekly hours of physical activity at age 15\\u201316 years was weakly associated with mental health at three-year follow-up in boys. 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The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later. \\n\\nMethods:\\n\\nLongitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline. \\n\\nResults:\\n\\nIn boys, the number of hours spent on physical activity per week at age 15\\u201316 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18\\u201319 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18\\u201319 according to weekly hours of physical activity at age 15\\u201316 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15\\u201316 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18\\u201319, but the differences were not statistically significant after adjustments. \\n\\nConclusion:\\n\\nWeekly hours of physical activity at age 15\\u201316 years was weakly associated with mental health at three-year follow-up in boys. Results encourage a search for further knowledge about physical activity as a possible protective factor in relation to mental health problems in adolescence."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2007-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": 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"inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "In this paper, we present the results from a high horizontal resolution numerical simulation of the northwestern Mediterranean using a z-level, non-hydrostatic, primitive equation ocean model (DieCAST). The high resolution allows an accurate representation of the submarine canyons that presides in the region. The model is one-way coupled to a large scale model of the Mediterranean Sea through open boundaries and uses the atmospheric forcing fields provided in terms of HIRLAM outputs by the Spanish National Institute of Meteorology. Results show that the model can successfully reproduce the complex general circulation characteristics of the area, including the modifications induced by canyons in their vicinity and other phenomena observed such as instabilities and coastal trapped waves. The sea surface temperature is similar to satellite observations except that simulated temperatures are slightly warmer near the coast than observations and colder near the open boundaries. An important topic of this work is the computation of the shelf-slope exchanges, which are able to renew shelf waters in a few months."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Peer Reviewed"}], "format": [], "journal": {"issnPrinted": "1812-0784", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "Ocean Science", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1812-0792", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "This work is licensed under a Creative Commons Attribution 3.0 Unported license."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Boron nitride is a promising material for nanotechnology applications due to its two-dimensional graphene-like, insulating, and highly-resistant structure. Recently it has received a lot of attention as a substrate to grow and isolate graphene as well as for its intrinsic UV lasing response. Similar to carbon, one-dimensional boron nitride nanotubes (BNNTs) have been theoretically predicted and later synthesised. Here we use first principles simulations to unambiguously demonstrate that i) BN nanotubes inherit the highly efficient UV luminescence of hexagonal BN; ii) the application of an external perpendicular field closes the electronic gap keeping the UV lasing with lower yield; iii) defects in BNNTS are responsible for tunable light emission from the UV to the visible controlled by a transverse electric field (TEF). Our present findings pave the road towards optoelectronic applications of BN-nanotube-based devices that are simple to implement because they do not require any special doping or complex growth."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "We acknowledge financial support also from the European Research Council Advanced Grant DYNamo (ERC-2010-AdG-267374), Spanish Grant (FIS2010-21282-C02-01), Grupos Consolidados UPV/EHU del Gobierno Vasco (IT578-13), Ikerbasque and the European Commission project CRONOS (Grant number 280879-2). Computational time was granted by i2basque and BSC Red Espanola de Supercomputacion and GENCI-IDRIS (Nos. 100063 and No. 091827). A. M. acknowledges funding by MIUR FIRB Grant No. RBFR12SW0J."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Peer Reviewed"}], "format": [], "journal": {"issnPrinted": "2045-2322", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2013-01-01"}, "coverage": [], "publisher": 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We analyse two variants of such an extension and carry out a phenomenological study of regions of the parameter space satisfying current direct and indirect constraints, employing state-of-the-art two-loop RGE evolution and GMSB boundary conditions. We find that due to the appearance of non-decoupled D-terms it is possible to obtain a 125.5\\xa0GeV Higgs with stops below 2\\xa0TeV, while the uncoloured sparticles could still lie within reach of the LHC. We compare the contributions of the stop sector and the non-decoupled D-terms to the Higgs mass, and study their effect on the Higgs couplings. 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animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as P-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp1) has been crystallized, and its drug-modulated ATPase function characterized in vitro revealed Cel-Pgp1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:prodinra.inra.fr:387545"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "International Journal for Parasitology: Drugs and Drug Resistance 3 (6), 299-313. 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Our present findings pave the road towards optoelectronic applications of BN-nanotube-based devices that are simple to implement because they do not require any special doping or complex growth\\nWe acknowledge financial support also from the European Research Council Advanced Grant DYNamo (ERC-2010-AdG-267374), Spanish Grant (FIS2010-21282-C02-01), Grupos Consolidados UPV/EHU del Gobierno Vasco (IT578-13), Ikerbasque and the European Commission project CRONOS (Grant number 280879-2). Computational time was granted by i2basque and BSC Red Espanola de Supercomputacion and GENCI-IDRIS (Nos. 100063 and No. 091827). A. 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"schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "International audience; The present paper describes the features and implementation of SmartVox an application designed to help vocal ensembles learn and perform polyphonic music.Technically, SmartVox is a distributed web application that delivers audiovisual scores through the performer\\u2019s mobile devices. From a singer\\u2019s point of view, this setup allows for the synergy between visual and acoustic stimuli, which facilitates the interpretive and performative processes, particularly in polyphonic passages. It also enables spatial separation of the performers (cori spezzati), and speeds up the learning process of unfamiliar musical materials (e.g. microtonal tuning, texts in a foreign language).The ubiquity of smartphones makes such a distributed system affordable and allows the use of SmartVox in multiple contexts, from professional ensembles to pedagogical and recreational practices."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-05-24"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01660184v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "TENOR 2017"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://hal.archives-ouvertes.fr/hal-01660184"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "TENOR 2017, May 2017, Coru\\xf1a, Spain. 2017"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "SMARTVOX - A Web-Based Distributed Media Player as Notation Tool For Choral Practices"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1016/S0370-2693(01)00807-3"}], "contributor": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Institut de Physique Nucl\\xe9aire de Lyon\\n (\\nIPNL\\n)\\n\\n ; 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Recently it has received a lot of attention as a substrate to grow and isolate graphene as well as for its intrinsic UV lasing response. Similar to carbon, one-dimensional boron nitride nanotubes (BNNTs) have been theoretically predicted and later synthesised. Here we use first principles simulations to unambiguously demonstrate that i) BN nanotubes inherit the highly efficient UV luminescence of hexagonal BN; ii) the application of an external perpendicular field closes the electronic gap keeping the UV lasing with lower yield; iii) defects in BNNTS are responsible for tunable light emission from the UV to the visible controlled by a transverse electric field (TEF). 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\\nConsejo Superior de Investigaciones Cient\\xedficas [Spain]\\n (\\nCSIC\\n)\\n-Universidad de las Islas Baleares\\n (\\nUIB\\n)\\n"}], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::9766527f2b5d3e95d4a733fcfb77bd7e", "value": "INRIA a CCSD electronic archive server"}], "id": "50|od_______165::22ada9a6f80dad93f03b97f72543d8b4", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "[ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Jordi", "name": "A.", "pid": [], "rank": 1, "affiliation": [], "fullname": "Jordi , A."}, {"surname": "Basterretxea", "name": "G.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Basterretxea , G."}, {"surname": "Orfila", "name": "A.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Orfila , A."}, {"surname": "Tintore\\u0301", "name": "J.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Tintor\\xe9 , J."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::9766527f2b5d3e95d4a733fcfb77bd7e", "value": "INRIA a CCSD electronic archive server"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["https://hal.archives-ouvertes.fr/hal-00298576", "https://hal.archives-ouvertes.fr/hal-00298576/document", "https://hal.archives-ouvertes.fr/hal-00298576/file/os-2-173-2006.pdf"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2006-10-17"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::9766527f2b5d3e95d4a733fcfb77bd7e", "value": "INRIA a CCSD electronic archive server"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-04-05T09:14:20.078Z", "fulltext": [], "dateoftransformation": "2020-03-05T18:16:37.315Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "\\nInternational audience\\n\\nIn this paper, we present the results from a high horizontal resolution numerical simulation of the northwestern Mediterranean using a z-level, non-hydrostatic, primitive equation ocean model (DieCAST). The high resolution allows an accurate representation of the submarine canyons that presides in the region. The model is one-way coupled to a large scale model of the Mediterranean Sea through open boundaries and uses the atmospheric forcing fields provided in terms of HIRLAM outputs by the Spanish National Institute of Meteorology. Results show that the model can successfully reproduce the complex general circulation characteristics of the area, including the modifications induced by canyons in their vicinity and other phenomena observed such as instabilities and coastal trapped waves. The sea surface temperature is similar to satellite observations except that simulated temperatures are slightly warmer near the coast than observations and colder near the open boundaries. An important topic of this work is the computation of the shelf-slope exchanges, which are able to renew shelf waters in a few months."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2006-10-17"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"lastupdatetimestamp": 0, "author": [{"surname": "David", "name": "Marion A.", "pid": [], "rank": 1, "affiliation": [], "fullname": "David , Marion A."}, {"surname": "Orlowski", "name": "Ste\\u0301phane", "pid": [], "rank": 2, "affiliation": [], "fullname": "Orlowski , St\\xe9phane"}, {"surname": "Prichard", "name": "Roger K.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Prichard , Roger K."}, {"surname": "Hashem", "name": "Shaima", "pid": [], "rank": 4, "affiliation": [], "fullname": "Hashem , Shaima"}, {"surname": "Andre\\u0301", "name": "Franc\\u0327ois", "pid": [], "rank": 5, "affiliation": [], "fullname": "Andr\\xe9 , Fran\\xe7ois"}, {"surname": "Lespine", "name": "Anne", "pid": [], "rank": 6, "affiliation": [], "fullname": "Lespine , Anne"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": 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Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01451654v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "International journal for parasitology. 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From a singer\\u2019s point of view, this setup allows for the synergy between visual and acoustic stimuli, which facilitates the interpretive and performative processes, particularly in polyphonic passages. It also enables spatial separation of the performers (cori spezzati), and speeds up the learning process of unfamiliar musical materials (e.g. microtonal tuning, texts in a foreign language).The ubiquity of smartphones makes such a distributed system affordable and allows the use of SmartVox in multiple contexts, from professional ensembles to pedagogical and recreational practices."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-05-24"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01660184v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "TENOR"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://hal.archives-ouvertes.fr/hal-01660184"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "TENOR, May 2017, Coru\\xf1a, Spain"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "SMARTVOX - A Web-Based Distributed Media Player as Notation Tool For Choral Practices"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1063/1.2130751"}], "contributor": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Dipartimento du Fisica ; 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We use data from direct numerical simulations up to Taylor\\\\'s Reynolds number 280 following the evolution of about two million passive tracers advected by the flow over a time span of about three decades. We present data for both the separation distance and the relative velocity statistics. Statistics are measured along the particle pair trajectories both as a function of time and as a function of their separation, i.e. at fixed scales. We compare and contrast both sets of statistics in order to gain an insight into the mechanisms governing the separation process. We find very high levels of intermittency in the early stages, that is, for travel times up to order ten Kolmogorov time scales. The fixed scale statistics allow us to quantify anomalous corrections to Richardson diffusion in the inertial range of scales for those pairs that separate rapidly. 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The MSV-MIDAS model is estimated via maximum likelihood methods.The estimation relies on a slightly modified version of Hamilton\\u2019s recursive filter.We use Monte Carlo simulations to assess the robustness of the estimation procedure and related test-statistics. The results show that ML provides accurateestimates, but they suggest some caution in the tests on the parameters involved inthe transition probabilities. We apply this new model to thedetection and forecastof business cycle turning points. We properly detect recessions in United States and United Kingdom by exploiting the link between GDP growth and higher frequency variables from financial and energy markets. Spread term is aparticularly usefulindicator to predict recessions in the United States, while stock returns have the strongest explanatory power around British turning points."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2015-06-22"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": 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"2018-04-04T15:41:58.595Z", "fulltext": [], "dateoftransformation": "2020-03-05T20:07:35.655Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"This paper introduces a Markov-switching model in which transition probabilities depend on higher frequency indicators and their lags through polynomial weight-ing schemes. The MSV-MIDAS model is estimated via maximum likelihood (ML) methods. The estimation relies on a slightly modified version of Hamilton's recursive filter. We use Monte Carlo simulations to assess the robustness of the estimation procedure and related test statistics. The results show that ML provides accurate estimates, but they suggest some caution in interpreting the tests of the parameters involved in the transition probabilities. We apply this new model to the detection and forecasting of business cycle turning points in the United States. We properly detect recessions by exploiting the link between GDP growth and higher frequency variables from financial and energy markets. The spread term is a particularly useful indicator to predict recessions in the United States. The empirical evidence also supports the use of functional polynomial weights in the MIDAS specification of the transition probabilities."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-09-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01358595v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://hal.archives-ouvertes.fr/hal-01358595"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1016/S0370-2693(01)00807-3"}], "contributor": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Institut de Physique Nucl\\xe9aire de Lyon\\n (\\nIPNL\\n)\\n\\n ; 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Submitted to Phys. Rev. Lett.\\nAlthough CP violation in the B meson system has been well established by the B factories, there has been no direct observation of time reversal violation. The decays of entangled neutral B mesons into definite flavor states ($B^0$ or $\\\\bar{B}^0$), and $J/\\\\psi K_S^0$ or $c\\\\bar{c} K_S^0$ final states (referred to as $B_+$ or $B_-$), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, $\\\\bar{B}^0 \\\\rightarrow B_-$ and $B_- \\\\rightarrow \\\\bar{B}^0$, as a function of the time difference between the two B decays. Using 468 million $B\\\\bar{B}$ pairs produced in $\\\\Upsilon(4S)$ decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding $\\\\Delta S_T^+ = -1.37 \\\\pm 0.14 (stat.) \\\\pm 0.06 (syst.)$ and $\\\\Delta S_T^- = 1.17 \\\\pm 0.18 (stat.) \\\\pm 0.11 (syst.)$. These nonzero results represent the first direct observation of T violation in the B meson system, through the exchange of initial and final states in transitions that can only be connected by a T-symmetry transformation."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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"dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "[ SDV ] Life Sciences [q-bio]"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Calus", "name": "Mario P. L.", "pid": [], "rank": 1, "affiliation": [], "fullname": "Calus , Mario P. L."}, {"surname": "Bouwman", "name": "Aniek C.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Bouwman , Aniek C."}, {"surname": "Schrooten", "name": "Chris", "pid": [], "rank": 3, "affiliation": [], "fullname": "Schrooten , Chris"}, {"surname": "Veerkamp", "name": "Roel F.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Veerkamp , Roel F."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::9766527f2b5d3e95d4a733fcfb77bd7e", "value": "INRIA a CCSD electronic archive server"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["https://hal.archives-ouvertes.fr/hal-01341383", "https://hal.archives-ouvertes.fr/hal-01341383/document", "https://hal.archives-ouvertes.fr/hal-01341383/file/12711_2016_Article_225.pdf"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::9766527f2b5d3e95d4a733fcfb77bd7e", "value": "INRIA a CCSD electronic archive server"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-04-04T15:53:20.027Z", "fulltext": [], "dateoftransformation": "2020-03-05T23:23:59.768Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "\\nInternational audience\\n\\nBackgroundUse of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step.ResultsWe used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5\\xa0to\\xa01.1\\xa0% higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4\\xa0% lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5\\xa0days, while the standard analysis including all sequence-based variants took more than three\\xa0months.ConclusionsThe split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "HAL CCSD"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01341383v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "EISSN: 1297-9686"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Genetics Selection Evolution"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, 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Recently it has received a lot of attention as a substrate to grow and isolate graphene as well as for its intrinsic UV lasing response. Similar to carbon, one-dimensional boron nitride nanotubes (BNNTs) have been theoretically predicted and later synthesised. Here we use first principles simulations to unambiguously demonstrate that i) BN nanotubes inherit the highly efficient UV luminescence of hexagonal BN; ii) the application of an external perpendicular field closes the electronic gap keeping the UV lasing with lower yield; iii) defects in BNNTS are responsible for tunable light emission from the UV to the visible controlled by a transverse electric field (TEF). 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The high resolution allows an accurate representation of the submarine canyons that presides in the region. The model is one-way coupled to a large scale model of the Mediterranean Sea through open boundaries and uses the atmospheric forcing fields provided in terms of HIRLAM outputs by the Spanish National Institute of Meteorology. Results show that the model can successfully reproduce the complex general circulation characteristics of the area, including the modifications induced by canyons in their vicinity and other phenomena observed such as instabilities and coastal trapped waves. The sea surface temperature is similar to satellite observations except that simulated temperatures are slightly warmer near the coast than observations and colder near the open boundaries. An important topic of this work is the computation of the shelf-slope exchanges, which are able to renew shelf waters in a few months."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2006-10-17"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"value": "International audience; Macrocyclic lactones (ML) are important anthelmintics used in animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Elsevier"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:HAL:hal-01451654v1"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "ISSN: 2211-3207"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "International journal for parasitology. 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The discovery of a 125.5 GeV Higgs with standard model-like couplings andnaturalness considerations motivate gauge extensions of the MSSM. We analysetwo variants of such an extension and carry out a phenomenological study ofregions of the parameter space satisfying current direct and indirectconstraints, employing state-of-the art two-loop RGE evolution and GMSBboundary conditions. We find that due to the appearance of non-decoupledD-terms it is possible to obtain a 125.5 GeV Higgs with stops below 2 TeV,while the uncolored sparticles could still lie within reach of the LHC. Wecompare the contributions of the stop sector and the non-decoupled D-terms tothe Higgs mass, and study their effect on the Higgs couplings. 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Submitted to Phys. Rev. Lett.; Although CP violation in the B meson system has been well established by the B factories, there has been no direct observation of time reversal violation. The decays of entangled neutral B mesons into definite flavor states ($B^0$ or $\\\\bar{B}^0$), and $J/\\\\psi K_S^0$ or $c\\\\bar{c} K_S^0$ final states (referred to as $B_+$ or $B_-$), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, $\\\\bar{B}^0 \\\\rightarrow B_-$ and $B_- \\\\rightarrow \\\\bar{B}^0$, as a function of the time difference between the two B decays. Using 468 million $B\\\\bar{B}$ pairs produced in $\\\\Upsilon(4S)$ decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding $\\\\Delta S_T^+ = -1.37 \\\\pm 0.14 (stat.) \\\\pm 0.06 (syst.)$ and $\\\\Delta S_T^- = 1.17 \\\\pm 0.18 (stat.) \\\\pm 0.11 (syst.)$. These nonzero results represent the first direct observation of T violation in the B meson system, through the exchange of initial and final states in transitions that can only be connected by a T-symmetry transformation."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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L."}, {"surname": "Bouwman", "name": "Aniek C.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Bouwman, Aniek C."}, {"surname": "Schrooten", "name": "Chris", "pid": [], "rank": 3, "affiliation": [], "fullname": "Schrooten, Chris"}, {"surname": "Veerkamp", "name": "Roel F.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Veerkamp, Roel F."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a", "value": "Hyper Article en Ligne"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["https://hal.archives-ouvertes.fr/hal-01341383", "https://hal.archives-ouvertes.fr/hal-01341383/document", "https://hal.archives-ouvertes.fr/hal-01341383/file/12711_2016_Article_225.pdf"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a", "value": "Hyper Article en Ligne"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2019-07-27T14:15:08.792Z", "fulltext": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://hal.archives-ouvertes.fr/hal-01341383/document"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "https://hal.archives-ouvertes.fr/hal-01341383/file/12711_2016_Article_225.pdf"}], "dateoftransformation": "2019-07-30T10:15:45.374Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "International audience; BackgroundUse of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step.ResultsWe used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5\\xa0to\\xa01.1\\xa0% higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4\\xa0% lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5\\xa0days, while the standard analysis including all sequence-based variants took more than three\\xa0months.ConclusionsThe split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, 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"instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-11T08:32:15.261Z", "fulltext": [], "dateoftransformation": "2018-08-29T16:51:34.05Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"Objectives This study evaluated subcutaneous tissue response to Aroeira (Myracrodruon urundeuva) extract employing edemogenic and histological analyses. Material and methods Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. 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L."}, {"surname": "Bouwman", "name": "Aniek C.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Bouwman, Aniek C."}, {"surname": "Schrooten", "name": "Chris", "pid": [], "rank": 3, "affiliation": [], "fullname": "Schrooten, Chris"}, {"surname": "Veerkamp", "name": "Roel F.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Veerkamp, Roel F."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://europepmc.org/articles/PMC4926307"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-06-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-13T04:51:09.291Z", "fulltext": [], "dateoftransformation": "2018-08-29T18:39:14.858Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Background Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step. Results We used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5\\xa0to\\xa01.1\\xa0% higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4\\xa0% lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5\\xa0days, while the standard analysis including all sequence-based variants took more than three\\xa0months. Conclusions The split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds. Electronic supplementary material The online version of this article (doi:10.1186/s12711-016-0225-x) contains supplementary material, which is available to authorized users."}], "format": [], "journal": {"issnPrinted": "0999-193X", "conferencedate": "", "vol": "48", "conferenceplace": "", "name": "Genetics, Selection, Evolution : GSE", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1297-9686", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-06-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", 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"Zhang", "name": "Ming", "pid": [], "rank": 3, "affiliation": [], "fullname": "Zhang, Ming"}, {"surname": "Neres", "name": "Joa\\u0303o", "pid": [], "rank": 4, "affiliation": [], "fullname": "Neres, Jo\\xe3o"}, {"surname": "Sar", "name": "Astrid M.", "pid": [], "rank": 5, "affiliation": [], "fullname": "Sar, Astrid M"}, {"surname": "Raadsen", "name": "Susanne A.", "pid": [], "rank": 6, "affiliation": [], "fullname": "Raadsen, Susanne A"}, {"surname": "Hartkoorn", "name": "Ruben C.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Hartkoorn, Ruben C"}, {"surname": "Ryabova", "name": "Olga B.", "pid": [], "rank": 8, "affiliation": [], "fullname": "Ryabova, Olga B"}, {"surname": "Vocat", "name": "Anthony", "pid": [], "rank": 9, "affiliation": [], "fullname": "Vocat, Anthony"}, {"surname": "Decosterd", "name": "Laurent A.", "pid": [], "rank": 10, "affiliation": [], "fullname": "Decosterd, Laurent A"}, {"surname": "Widmer", "name": "Nicolas", "pid": [], "rank": 11, "affiliation": [], "fullname": "Widmer, Nicolas"}, {"surname": "Buclin", "name": "Thierry", "pid": [], "rank": 12, "affiliation": [], "fullname": "Buclin, Thierry"}, {"surname": "Bitter", "name": "Wilbert", "pid": [], "rank": 13, "affiliation": [], "fullname": "Bitter, Wilbert"}, {"surname": "Andries", "name": "Koen", "pid": [], "rank": 14, "affiliation": [], "fullname": "Andries, Koen"}, {"surname": "Pojer", "name": "Florence", "pid": [], "rank": 15, "affiliation": [], "fullname": "Pojer, Florence"}, {"surname": "Dyson", "name": "Paul J.", "pid": [], "rank": 16, "affiliation": [], "fullname": "Dyson, Paul J"}, {"surname": "Cole", "name": "Stewart T.", "pid": [], "rank": 17, "affiliation": [], "fullname": "Cole, Stewart T"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://europepmc.org/articles/PMC3958311"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2014-02-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-11T11:32:00.492Z", "fulltext": [], "dateoftransformation": "2018-08-29T19:41:29.552Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "The benzothiazinone lead compound, BTZ043, kills Mycobacterium tuberculosis by inhibiting the essential flavo-enzyme DprE1, decaprenylphosphoryl-beta-D-ribose 2-epimerase. Here, we synthesized a new series of piperazine-containing benzothiazinones (PBTZ) and show that, like BTZ043, the preclinical candidate PBTZ169 binds covalently to DprE1. The crystal structure of the DprE1-PBTZ169 complex reveals formation of a semimercaptal adduct with Cys387 in the active site and explains the irreversible inactivation of the enzyme. Compared to BTZ043, PBTZ169 has improved potency, safety and efficacy in zebrafish and mouse models of tuberculosis (TB). When combined with other TB drugs, PBTZ169 showed additive activity against M.\\xa0tuberculosis in vitro except with bedaquiline (BDQ) where synergy was observed. A new regimen comprising PBTZ169, BDQ and pyrazinamide was found to be more efficacious than the standard three drug treatment in a murine model of chronic disease. PBTZ169 is thus an attractive drug candidate to treat TB in humans. Subject Categories Microbiology, Virology & Host Pathogen Interaction; Pharmacology & Drug Discovery"}], "format": [], "journal": {"issnPrinted": "1757-4676", "conferencedate": "", "vol": "6", "conferenceplace": "", "name": "EMBO Molecular Medicine", "iss": "3", "sp": "372", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1757-4684", "ep": "383", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2014-02-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Towards a new combination therapy for tuberculosis with next generation benzothiazinones"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmid", "classname": "pmid", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "26990806"}, {"dataInfo": 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The resulting QDs have been successfully used to probe multivalent interactions of HIV/Ebola receptors DC\\u2010SIGN and DC\\u2010SIGNR (collectively termed as DC\\u2010SIGN/R) using a sensitive, ratiometric F\\xf6rster resonance energy transfer (FRET) assay. The QD probes specifically bind DC\\u2010SIGN, but not its closely related receptor DC\\u2010SIGNR, which is further confirmed by its specific blocking of DC\\u2010SIGN engagement with the Ebola virus glycoprotein. Tuning the QD surface mannose valency reveals that DC\\u2010SIGN binds more efficiently to densely packed mannosides. A FRET\\u2010based thermodynamic study reveals that the binding is enthalpy\\u2010driven. This work establishes QD FRET as a rapid, sensitive technique for probing structure and thermodynamics of multivalent protein\\u2013ligand interactions."}], "format": [], "journal": {"issnPrinted": "1433-7851", "conferencedate": "", "vol": "55", "conferenceplace": "", "name": "Angewandte Chemie (International Ed. in English)", "iss": "15", "sp": "4738", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1521-3773", "ep": "4742", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-03-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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"dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2007-07-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-09T13:09:56.823Z", "fulltext": [], "dateoftransformation": "2018-08-30T01:37:41.001Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"Background Mental health problems are a worldwide public health burden. The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15\\u201316 and mental health three years later. Methods Longitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000\\u20132001 (n = 3811). The follow-up in 2003\\u20132004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline. Results In boys, the number of hours spent on physical activity per week at age 15\\u201316 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18\\u201319 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18\\u201319 according to weekly hours of physical activity at age 15\\u201316 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15\\u201316 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18\\u201319, but the differences were not statistically significant after adjustments. Conclusion Weekly hours of physical activity at age 15\\u201316 years was weakly associated with mental health at three-year follow-up in boys. Results encourage a search for further knowledge about physical activity as a possible protective factor in relation to mental health problems in adolescence."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "7", "conferenceplace": "", "name": "BMC Public Health", "iss": "", "sp": "155", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1471-2458", "ep": "155", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2007-07-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BioMed Central"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:pubmedcentral.nih.gov:1955440"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BMC Public Health"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main 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"deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-04-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-15T02:59:16.126Z", "fulltext": [], "dateoftransformation": "2018-08-30T02:39:11.807Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Objective This study analyzed the maintenance of lateral incisors in the dental rehabilitation of individuals with cleft lip and palate. Material and Methods The study was conducted on a tertiary craniofacial center and comprised retrospective analysis of panoramic and periapical radiographs of Caucasoid individuals with non-syndromic complete unilateral cleft lip and palate, analyzing all radiographs available on the records of each individual, from the first to the last up to 12 years of age. Overall, 2,826 records were reviewed to achieve a sample of 1,000 individuals. Among these, 487 individuals presented the permanent lateral incisors on both cleft and non-cleft sides, which were included in this study. Results The results were evaluated in percentages and by descriptive statistics. The association between maintenance of the lateral incisor and timing of alveolar bone graft were analyzed by the t test. Among the 487 individuals, 265 had not completed treatment, 62 presented insufficient information, and 44 concluded the treatment elsewhere. Among the remaining 116 individuals, the lateral incisor was extracted from 88 (75.86%) of them on the cleft side (CS) and from 23 (19.83%) people on the non-cleft side (NCS). The age at accomplishment of alveolar bone graft was significantly associated with maintenance of the lateral incisor on the cleft side (p<0.01). Most extractions were indicated because of the inadequate positioning on the CS and for midline correction on the NCS. Rehabilitation was primarily completed by orthodontic movement (53 individuals on the CS and 13 individuals on the NCS). Conclusion In conclusion, the lateral incisor on the cleft side was not maintained in most individuals. Positive relationship was observed between extraction of the lateral incisor and age at accomplishment of the alveolar bone graft, suggesting the need to anticipate the initial radiographic evaluation to enhance its maintenance and reduce the procedures required for rehabilitation."}], "format": [], "journal": {"issnPrinted": "1678-7757", "conferencedate": "", "vol": "26", "conferenceplace": "", "name": "Journal of Applied Oral Science", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1678-7765", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-04-01"}, 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"dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Dental health services"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Dental care"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Inequalities in health care services"}, {"dataInfo": 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"Moise\\u0301s", "pid": [], "rank": 3, "affiliation": [], "fullname": "Goldbaum, Mois\\xe9s"}, {"surname": "Azevedo Barros", "name": "Marilisa Berti", "pid": [], "rank": 4, "affiliation": [], "fullname": "de Azevedo Barros, Marilisa Berti"}, {"surname": "Gianini", "name": "Reinaldo Jose\\u0301", "pid": [], "rank": 5, "affiliation": [], "fullname": "Gianini, Reinaldo Jos\\xe9"}, {"surname": "Cesar", "name": "Chester Luiz Galva\\u0303o", "pid": [], "rank": 6, "affiliation": [], "fullname": "Cesar, Chester Luiz Galv\\xe3o"}, {"surname": "Mackenbach", "name": "Johan P.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Mackenbach, Johan P."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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"classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-13T14:33:43.886Z", "fulltext": [], "dateoftransformation": "2018-08-30T03:52:36.376Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Background Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the \\u201cSmiling Brazil\\u201d Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S\\xe3o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Method Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Results Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. Conclusions The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them. Electronic supplementary material The online version of this article (doi:10.1186/s12913-016-1928-y) contains supplementary material, which is available to authorized users."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "16", "conferenceplace": "", "name": "BMC Health Services Research", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1472-6963", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of \\u03b2-lactam antibiotics, which are often prescribed to treat H.\\xa0influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when \\u03b2-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for \\u03b2-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "ABSTRACT Nontypeable Haemophilus influenzae (NTHi) is an opportunistic pathogen that mainly causes otitis media in children and community-acquired pneumonia or exacerbations of chronic obstructive pulmonary disease in adults. A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of \\u03b2-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with \\u03b2-lactam antibiotics, especially for \\u03b2-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of \\u03b2-lactam antibiotics, which are often prescribed to treat H.\\xa0influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when \\u03b2-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for \\u03b2-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "2", "conferenceplace": "", "name": "mSphere", "iss": "1", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "2379-5042", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", 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"deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357", "value": "PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-06-13T16:32:55.324Z", "fulltext": [], "dateoftransformation": "2018-08-30T08:27:50.134Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Macrocyclic lactones (ML) are important anthelmintics used in animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in\\xa0vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Graphical abstract Ivermectin (red spheres) binding to Cel-Pgp-1 (blue ribbon: N-term, yellow ribbon: C-term).Image 1"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Highlights \\u2022 Cel-Pgp-1 cristal provides a valuable tool to study anthelmintic interactions. \\u2022 Cel-Pgp-1 recognizes a broad panel of anthelmintics, including macrocyclic lactones. \\u2022 Cel-Pgp-1 is predicted to transport MLs and contribute to anthelmintic resistance. \\u2022 Sugars in avermectins increase the affinity to Cel-Pgp-1 compared with moxidectin. \\u2022 These data provide a basis for modelling ABC homologs in parasitic nematodes."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "6", "conferenceplace": "", "name": "International Journal for Parasitology: Drugs and Drug Resistance", "iss": "3", "sp": "299", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "2211-3207", "ep": "313", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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Recently it has received a lot of attention as a substrate to grow and isolate graphene as well as for its intrinsic UV lasing response. Similar to carbon, one-dimensional boron nitride nanotubes (BNNTs) have been theoretically predicted and later synthesised. Here we use first principles simulations to unambiguously demonstrate that i) BN nanotubes inherit the highly efficient UV luminescence of hexagonal BN; ii) the application of an external perpendicular field closes the electronic gap keeping the UV lasing with lower yield; iii) defects in BNNTS are responsible for tunable light emission from the UV to the visible controlled by a transverse electric field (TEF). 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Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. 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They are usually maintained with 10% fetal bovine serum (FBS) in vitro. Modified platelet-rich plasma (mPRP) would be a safe alternative to 10% FBS during SHEDs culture. Therefore, our study aimed to compare the proliferation and differentiation of SHEDs cultured in mPRP and FBS medium to explore an optimal concentration of mPRP for SHEDs maintenance. Platelets were harvested by automatic blood cell analyzer and activated by repeated liquid nitrogen freezing and thawing. The platelet-related cytokines were examined and analyzed by ELISA. SHEDs were extracted and cultured with different concentrations of mPRP or 10% FBS medium. Alkaline phosphatase (ALP) activity was measured. Mineralization factors, RUNX2 and OCN, were measured by real-time PCR. SHEDs were characterized with mesenchymal stem cells (MSCs) markers including vimentin, CD44, and CD105. mPRP at different concentrations (2, 5, 10, and 20%) enhanced the growth of SHEDs. 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A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of \\u03b2-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with \\u03b2-lactam antibiotics, especially for \\u03b2-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of \\u03b2-lactam antibiotics, which are often prescribed to treat H. influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when \\u03b2-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for \\u03b2-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", 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A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of \\u03b2-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with \\u03b2-lactam antibiotics, especially for \\u03b2-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of \\u03b2-lactam antibiotics, which are often prescribed to treat H. influenzae infections, increase biofilm formation through a similar mechanism. 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Using 468 X 10(6) B (B) over bar pairs produced in Y(4S) decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding Delta S-T(+) = -137 +/- 0.14(stat) +/- 0.06(syst) and Delta S-T(-) = 1.17 +/- 0.18(stat) +/- 0.11(syst). 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Background: Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step. Results: We used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5 to 1.1 % higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4 % lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5 days, while the standard analysis including all sequence-based variants took more than three months. Conclusions: The split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds.

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Carvalho", "pid": [], "rank": 2, "affiliation": [], "fullname": "Ara\\xfajo, Fernanda Montenegro de Carvalho"}, {"surname": "Cavalcanti", "name": "Luciano Pamplona Go\\u0301es", "pid": [], "rank": 3, "affiliation": [], "fullname": "Cavalcanti, Luciano Pamplona de G\\xf3es"}, {"surname": "Braga", "name": "Deborah Nunes Melo", "pid": [], "rank": 4, "affiliation": [], "fullname": "Braga, Deborah Nunes Melo"}, {"surname": "Perdiga\\u0303o", "name": "Anne Carolinne Bezerra", "pid": [], "rank": 5, "affiliation": [], "fullname": "Perdig\\xe3o, Anne Carolinne Bezerra"}, {"surname": "Santos", "name": "Flavia Barreto Dos", "pid": [], "rank": 6, "affiliation": [], "fullname": "Santos, Flavia Barreto dos"}, {"surname": "Nogueira", "name": "Fernanda Bruycker", "pid": [], "rank": 7, "affiliation": [], "fullname": "Nogueira, Fernanda de Bruycker"}, {"surname": "Esco\\u0301ssia", "name": "Kiliana Nogueira Farias Da", "pid": [], "rank": 8, "affiliation": [], "fullname": "Esc\\xf3ssia, Kiliana Nogueira Farias da"}, {"surname": "Guedes", "name": "Maria Izabel Florindo", "pid": [], "rank": 9, "affiliation": [], "fullname": "Guedes, Maria Izabel Florindo"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "http://creativecommons.org/licenses/by/4.0/"}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762018001100300&lng=en&tlng=en"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-10-18"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-10-17T15:29:29.5Z", "fulltext": [], "dateoftransformation": "2020-03-05T17:09:49.618Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BACKGROUND The first dengue cases in Brazil with laboratory confirmation occurred in the northern region of the country, with the isolation of two serotypes, dengue virus 1 (DENV-1) and DENV-4. In Cear\\xe1, the introduction of DENV-4 was reported during a DENV-1 epidemic in 2011, with only two isolations. OBJECTIVES The aim of this study was to characterise the first DENV-4 epidemic in the state of Cear\\xe1, Brazil. METHODS The study population was composed of patients with suspected dengue that were reported to health care units from January to December 2012. The laboratory confirmation of infection was made by viral isolation, reverse transcription polymerase chain reaction (RT-PCR), AgNS1, immunohistochemistry and IgM enzyme-linked immunosorbent assay (ELISA). MAIN CONCLUSIONS In the study year, 72,211 suspected dengue cases were reported and 51,865 of these cases (71.8%) were confirmed to be positive. Co-circulation of three serotypes, DENV-1, DENV-3 and DENV-4, was detected with a predominance of DENV-4 (95.3%). Most cases were not severe, but there were 44 fatal outcomes. DENV-4 Genotype II was identified for the first time in Cear\\xe1."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-10-18"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Instituto Oswaldo Cruz, Minist\\xe9rio da Sa\\xfade"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:scielo:S0074-02762018001100300"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Mem\\xf3rias do Instituto Oswaldo Cruz, Volume: 113, Issue: 11, Article number: e180320, Published: 18 OCT 2018"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Dengue 4 in Cear\\xe1, Brazil: characterisation of epidemiological and laboratorial aspects and causes of death during the first epidemic in the state"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}], "id": "50|od_______608::a09f60767c9565c03a40c6991f3d7c39", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Isolation with Migration model"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "coalescent analysis"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "native Siberians"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Fagundes", "name": "Nelson J. R.", "pid": [], "rank": 1, "affiliation": [], "fullname": "Fagundes, Nelson J.R."}, {"surname": "Tagliani-Ribeiro", "name": "Alice", "pid": [], "rank": 2, "affiliation": [], "fullname": "Tagliani-Ribeiro, Alice"}, {"surname": "Rubicz", "name": "Rohina", "pid": [], "rank": 3, "affiliation": [], "fullname": "Rubicz, Rohina"}, {"surname": "Tarskaia", "name": "Larissa", "pid": [], "rank": 4, "affiliation": [], "fullname": "Tarskaia, Larissa"}, {"surname": "Crawford", "name": "Michael H.", "pid": [], "rank": 5, "affiliation": [], "fullname": "Crawford, Michael H."}, {"surname": "Salzano", "name": "Francisco M.", "pid": [], "rank": 6, "affiliation": [], "fullname": "Salzano, Francisco M."}, {"surname": "Bonatto", "name": "Sandro L.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Bonatto, Sandro L."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "http://creativecommons.org/licenses/by/4.0/"}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000200206&lng=en&tlng=en"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-04-22T15:08:13.708Z", "fulltext": [], "dateoftransformation": "2020-03-05T17:56:15.371Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract In spite of many genetic studies that contributed for a deep knowledge about the peopling of the Americas, no consensus has emerged about important parameters such as the effective size of the Native Americans founder population. Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. Recognizing the size of the genetic bottleneck during the peopling of the Americas is important for determining the extent of genetic markers needed to characterize Native American populations in genome-wide studies and to evaluate the adaptive potential of genetic variants in this population."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Sociedade Brasileira de Gen\\xe9tica"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:scielo:S1415-47572018000200206"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Genetics and Molecular Biology, Volume: 41, Issue: 1 Supplement 1, Pages: 206-214, Published: 2018"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}], "id": "50|od_______608::c18e77bcf6417b170f22ed36a62ef13d", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Bacillus"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "degradation"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "manipueira"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "fertirrigation"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Vasconcellos", "name": "S. P.", "pid": [], "rank": 1, "affiliation": [], "fullname": "Vasconcellos, S. P"}, {"surname": "Cereda", "name": "M. P.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Cereda, M. P."}, {"surname": "Cagnon", "name": "J. R.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Cagnon, J. R."}, {"surname": "Foglio", "name": "M. A.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Foglio, M.A."}, {"surname": "Rodrigues", "name": "R. A.", "pid": [], "rank": 5, "affiliation": [], "fullname": "Rodrigues, R.A."}, {"surname": "Manfio", "name": "G. P.", "pid": [], "rank": 6, "affiliation": [], "fullname": "Manfio, G. P."}, {"surname": "Oliveira", "name": "V. M.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Oliveira, V. 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Thirty one microbial strains were isolated from manipueira, a liquid effluent of cassava processing factories. Among these strains, Bacillus licheniformis (isolate 2_2) and Rhodotorulla glutinis (isolate L1) were able to degrade 71% and 95% of added linamarin, respectively, within 7 days, showing high biodegradation activity and great potential for detoxification of cassava processing wastewaters."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2009-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Sociedade Brasileira de Microbiologia"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:scielo:S1517-83822009000400019"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Brazilian Journal of Microbiology, Volume: 40, Issue: 4, Pages: 879-883, Published: DEC 2009"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "In vitro degradation of linamarin by microorganisms isolated from cassava wastewater treatment lagoons"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - 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The performance of both methods was analyzed based on two datasets: 1) a complete site x species matrix compiled from two studies in different land uses in the Amazon using direct analysis of field samples and trap cultures. 2) Total number of AMF morphotypes detected by both methods in published manuscripts across several ecosystems. From dataset 1, direct analysis of field samples revealed 57 morphotypes, whereas only 21 of these were detected by trap culture. Community variation (beta diversity) analysis revealed that field samples are far more sensitive in detecting shifts in AMF community composition among land uses than trap cultures in the Amazon region, with the combined results of both methods being not better than that obtained only by direct analysis of field samples. 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a comparative study"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}], "id": "50|od_______608::de715689eb8cf69f5c93275d325a152b", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Inflammation"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Edema"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Medicinal plants"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Anacardiaceae"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Machado", "name": "Alessandra Cury", "pid": [], "rank": 1, "affiliation": [], "fullname": "Machado, Alessandra Cury"}, {"surname": "Dezan Junior", "name": "Eloi", "pid": [], "rank": 2, "affiliation": [], "fullname": "Dezan Junior, Eloi"}, {"surname": "Gomes-Filho", "name": "Joa\\u0303o Eduardo", "pid": [], "rank": 3, "affiliation": [], "fullname": "Gomes-Filho, Jo\\xe3o Eduardo"}, {"surname": "Cintra", "name": "Luciano Tavares Angelo", "pid": [], "rank": 4, "affiliation": [], "fullname": "Cintra, Luciano Tavares Angelo"}, {"surname": "Ruvie\\u0301re", "name": "Denise Belucio", "pid": [], "rank": 5, "affiliation": [], "fullname": "Ruvi\\xe9re, Denise Belucio"}, {"surname": "Zoccal", "name": "Renata", "pid": [], "rank": 6, "affiliation": [], "fullname": "Zoccal, Renata"}, {"surname": "Damante", "name": "Carla Andreotti", "pid": [], "rank": 7, "affiliation": [], "fullname": "Damante, Carla Andreotti"}, {"surname": "Jardim Junior", "name": "Elerson Gaetti", "pid": [], "rank": 8, "affiliation": [], "fullname": "Jardim Junior, Elerson Gaetti"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - 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MATERIAL AND METHODS: Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. RESULTS: There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. CONCLUSION: The aqueous extract showed biocompatible properties similar to those of saline."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-08-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Faculdade De Odontologia De Bauru - 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T.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Li, H.T."}, {"surname": "Li", "name": "S. H.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Li, S.H."}, {"surname": "Li", "name": "X.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Li, X."}, {"surname": "Duan", "name": "J. M.", "pid": [], "rank": 5, "affiliation": [], "fullname": "Duan, J.M."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "http://creativecommons.org/licenses/by/4.0/"}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2016001000604&lng=en&tlng=en"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-09-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2017-11-22T20:05:23.65Z", "fulltext": [], "dateoftransformation": "2020-03-05T18:32:46.905Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Stem cells from human exfoliated deciduous teeth (SHEDs) have great potential to treat various dental-related diseases in regenerative medicine. They are usually maintained with 10% fetal bovine serum (FBS) in vitro. Modified platelet-rich plasma (mPRP) would be a safe alternative to 10% FBS during SHEDs culture. Therefore, our study aimed to compare the proliferation and differentiation of SHEDs cultured in mPRP and FBS medium to explore an optimal concentration of mPRP for SHEDs maintenance. Platelets were harvested by automatic blood cell analyzer and activated by repeated liquid nitrogen freezing and thawing. The platelet-related cytokines were examined and analyzed by ELISA. SHEDs were extracted and cultured with different concentrations of mPRP or 10% FBS medium. Alkaline phosphatase (ALP) activity was measured. Mineralization factors, RUNX2 and OCN, were measured by real-time PCR. SHEDs were characterized with mesenchymal stem cells (MSCs) markers including vimentin, CD44, and CD105. mPRP at different concentrations (2, 5, 10, and 20%) enhanced the growth of SHEDs. Moreover, mPRP significantly stimulated ALP activity and promoted expression of RUNX2 and OCN compared with 10% FBS. mPRP could efficiently facilitate proliferation and differentiation of SHEDs, and 2% mPRP would be an optimal substitute for 10% FBS during SHEDs expansion and differentiation in clinical scale manufacturing."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "text/html"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-09-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Associa\\xe7\\xe3o Brasileira de Divulga\\xe7\\xe3o Cient\\xedfica"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:scielo:S0100-879X2016001000604"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Brazilian Journal of Medical and Biological Research, Volume: 49, Issue: 10, Article number: e5373, Published: 01 SEP 2016"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Investigation of modified platelet-rich plasma (mPRP) in promoting the proliferation and differentiation of dental pulp stem cells from deciduous teeth"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}], "id": "50|od_______608::ecbd7f91aa73268b8d3dfb4493862b0c", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Incisor"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Cleft lip"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Cleft palate"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:result_subject", "schemename": "dnet:result_subject"}, "value": "Oral rehabilitation"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Tereza", "name": "Guida Paola Genovez", "pid": [], "rank": 1, "affiliation": [], "fullname": "Tereza, Guida Paola Genovez"}, {"surname": "Santos", "name": "Marcos Anto\\u0302nio Corre\\u0302a Dos", "pid": [], "rank": 2, "affiliation": [], "fullname": "Santos, Marcos Ant\\xf4nio Corr\\xeaa dos"}, {"surname": "Winckler", "name": "Vivian Patricia Saldias Vargas", "pid": [], "rank": 3, "affiliation": [], "fullname": "Winckler, Vivian Patricia Saldias Vargas"}, {"surname": "Almeida", "name": "Ana Lu\\u0301cia Pompeia Fraga", "pid": [], "rank": 4, "affiliation": [], "fullname": "Almeida, Ana L\\xfacia Pompeia Fraga de"}, {"surname": "Dalben", "name": "Gisele Da Silva", "pid": [], "rank": 5, "affiliation": [], "fullname": "Dalben, Gisele da Silva"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "http://creativecommons.org/licenses/by/4.0/"}, "url": ["http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572018000100438&lng=en&tlng=en"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2018-05-07"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::996a7fa078cc36c46d02f9af3bef918b", "value": "Scientific Electronic Library Online - Brazil"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2018-07-07T15:09:37.426Z", "fulltext": [], "dateoftransformation": "2020-03-05T18:38:07.379Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract Objective This study analyzed the maintenance of lateral incisors in the dental rehabilitation of individuals with cleft lip and palate. Material and Methods The study was conducted on a tertiary craniofacial center and comprised retrospective analysis of panoramic and periapical radiographs of Caucasoid individuals with non-syndromic complete unilateral cleft lip and palate, analyzing all radiographs available on the records of each individual, from the first to the last up to 12 years of age. Overall, 2,826 records were reviewed to achieve a sample of 1,000 individuals. Among these, 487 individuals presented the permanent lateral incisors on both cleft and non-cleft sides, which were included in this study. Results The results were evaluated in percentages and by descriptive statistics. The association between maintenance of the lateral incisor and timing of alveolar bone graft were analyzed by the t test. Among the 487 individuals, 265 had not completed treatment, 62 presented insufficient information, and 44 concluded the treatment elsewhere. Among the remaining 116 individuals, the lateral incisor was extracted from 88 (75.86%) of them on the cleft side (CS) and from 23 (19.83%) people on the non-cleft side (NCS). The age at accomplishment of alveolar bone graft was significantly associated with maintenance of the lateral incisor on the cleft side (p<0.01). Most extractions were indicated because of the inadequate positioning on the CS and for midline correction on the NCS. Rehabilitation was primarily completed by orthodontic movement (53 individuals on the CS and 13 individuals on the NCS). Conclusion In conclusion, the lateral incisor on the cleft side was not maintained in most individuals. 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"dnet:publication_resource"}}], "dateofcollection": "2017-09-25T14:02:01.908Z", "fulltext": [], "dateoftransformation": "2019-07-02T09:47:50.826Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value":"Background Mental health problems are a worldwide public health burden. The literature concerning the mental health benefits from physical activity among adults has grown. Adolescents are less studied, and especially longitudinal studies are lacking. This paper investigates the associations between weekly hours of physical activity at age 15?16 and mental health three years later. Methods Longitudinal self-reported health survey. The baseline study consisted of participants from the youth section of the Oslo Health Study, carried out in schools in 2000?2001 (n = 3811). The follow-up in 2003?2004 was conducted partly at school and partly through mail. A total of 2489 (1112 boys and 1377 girls) participated in the follow-up. Mental health was measured by the Strengths and Difficulties Questionnaire with an impact supplement. Physical activity was measured by a question on weekly hours of physical activity outside of school, defined as exertion \"to an extent that made you sweat and/or out of breath\". Adjustments were made for well-documented confounders and mental health at baseline. Results In boys, the number of hours spent on physical activity per week at age 15?16 was negatively associated with emotional symptoms [B (95%CI) = -0.09 (-0.15, -0.03)] and peer problems [B (95%CI) = -0.08 (-0.14, -0.03)] at age 18?19 after adjustments. In girls, there were no significant differences in SDQ subscales at age 18?19 according to weekly hours of physical activity at age 15?16 after adjustments. Boys and girls with five to seven hours of physical activity per week at age 15?16 had the lowest mean scores for total difficulties and the lowest percentage with high impact score at age 18?19, but the differences were not statistically significant after adjustments. Conclusion Weekly hours of physical activity at age 15?16 years was weakly associated with mental health at three-year follow-up in boys. Results encourage a search for further knowledge about physical activity as a possible protective factor in relation to mental health problems in adolescence."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "7", "conferenceplace": "", "name": "BMC Public Health", "iss": "", "sp": "155", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1471-2458", "ep": "155", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2007-07-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, 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Here, we synthesized a new series of piperazine-containing benzothiazinones (PBTZ) and show that, like BTZ043, the preclinical candidate PBTZ169 binds covalently to DprE1. The crystal structure of the DprE1-PBTZ169 complex reveals formation of a semimercaptal adduct with Cys387 in the active site and explains the irreversible inactivation of the enzyme. Compared to BTZ043, PBTZ169 has improved potency, safety and efficacy in zebrafish and mouse models of tuberculosis (TB). When combined with other TB drugs, PBTZ169 showed additive activity against M.\\xa0tuberculosis in vitro except with bedaquiline (BDQ) where synergy was observed. A new regimen comprising PBTZ169, BDQ and pyrazinamide was found to be more efficacious than the standard three drug treatment in a murine model of chronic disease. PBTZ169 is thus an attractive drug candidate to treat TB in humans. 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Material and methods Test groups consisted of aqueous and ethanolic Aroeira extracts and saline (control). For edema quantification, 18 rats received an intravenous injection of Evan's Blue. After 30 min, the extracts and saline were injected on the dorsum of the rats, which were then sacrificed after 3 and 6 h. Readings were performed in a spectrophotometer. For subcutaneous implantation, 30 rats received a polyethylene tube containing the extracts on their dorsum and then they were killed after 7 and 28 days. The samples were processed for histological analysis and evaluated with a light microscope. The inflammatory infiltrate was quantified. Results There were no statistically significant differences between aqueous extract and saline groups in relation to edema quantification in the different periods (p>0.05). Ethanolic solution resulted in more edema independently of the experimental period (p<0.05). Histological analysis showed similar results on the 7-day period for the 3 groups. There was a notable reduction on inflammatory cell number for saline and aqueous extract groups at 28 days. Conclusion The aqueous extract showed biocompatible properties similar to those of saline."}], "format": [], "journal": {"issnPrinted": "1678-7757", "conferencedate": "", "vol": "20", "conferenceplace": "", "name": "Journal of Applied Oral Science", "iss": "4", "sp": "414", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1678-7765", "ep": "418", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, 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"main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Evaluation of tissue reaction to Aroeira (Myracrodruon urundeuva) extracts: a histologic and edemogenic study"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmc", "classname": "pmc", "schemeid": "dnet:pid_types", "schemename": 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"value": "Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of ?-lactam antibiotics, which are often prescribed to treat H.?influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when ?-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for ?-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "ABSTRACT Nontypeable Haemophilus influenzae (NTHi) is an opportunistic pathogen that mainly causes otitis media in children and community-acquired pneumonia or exacerbations of chronic obstructive pulmonary disease in adults. A large variety of studies suggest that biofilm formation by NTHi may be an important step in the pathogenesis of this bacterium. However, the underlying mechanisms involved in this process are poorly elucidated. In this study, we used a transposon mutant library to identify bacterial genes involved in biofilm formation. The growth and biofilm formation of 4,172 transposon mutants were determined, and the involvement of the identified genes in biofilm formation was validated in in vitro experiments. Here, we present experimental data showing that increased bacterial lysis, through interference with peptidoglycan synthesis, results in elevated levels of extracellular DNA, which increased biofilm formation. Interestingly, similar results were obtained with subinhibitory concentrations of ?-lactam antibiotics, known to interfere with peptidoglycan synthesis, but such an effect does not appear with other classes of antibiotics. These results indicate that treatment with ?-lactam antibiotics, especially for ?-lactam-resistant NTHi isolates, might increase resistance to antibiotics by increasing biofilm formation. IMPORTANCE Most, if not all, bacteria form a biofilm, a multicellular structure that protects them from antimicrobial actions of the host immune system and affords resistance to antibiotics. The latter is especially disturbing with the increase in multiresistant bacterial clones worldwide. Bacterial biofilm formation is a multistep process that starts with surface adhesion, after which attached bacteria divide and give rise to biomass. The actual steps required for Haemophilus influenzae biofilm formation are largely not known. We show that interference with peptidoglycan biosynthesis increases biofilm formation because of the release of bacterial genomic DNA. Subinhibitory concentrations of ?-lactam antibiotics, which are often prescribed to treat H.?influenzae infections, increase biofilm formation through a similar mechanism. Therefore, when ?-lactam antibiotics do not reach their MIC in vivo, they might not only drive selection for ?-lactam-resistant clones but also increase biofilm formation and resistance to other antimicrobial compounds."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "2", "conferenceplace": "", "name": "mSphere", "iss": "1", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "2379-5042", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2017-01-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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"rank": 1, "affiliation": [], "fullname": "David, Marion A."}, {"surname": "Orlowski", "name": "St Phane", "pid": [], "rank": 2, "affiliation": [], "fullname": "Orlowski, St?phane"}, {"surname": "Prichard", "name": "Roger K.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Prichard, Roger K."}, {"surname": "Hashem", "name": "Shaima", "pid": [], "rank": 4, "affiliation": [], "fullname": "Hashem, Shaima"}, {"surname": "Andr", "name": "Fran Ois", "pid": [], "rank": 5, "affiliation": [], "fullname": "Andr?, Fran?ois"}, {"surname": "Lespine", "name": "Anne", "pid": [], "rank": 6, "affiliation": [], "fullname": "Lespine, Anne"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": 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"2019-07-02T18:03:05.132Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Macrocyclic lactones (ML) are important anthelmintics used in animals and humans against parasite nematodes, but their therapeutic success is compromised by the spread of ML resistance. Some ABC transporters, such as p-glycoproteins (Pgps), are selected and overexpressed in ML-resistant nematodes, supporting a role for some drug efflux proteins in ML resistance. However, the role of such proteins in ML transport remains to be clarified at the molecular level. Recently, Caenorhabditis elegans Pgp-1 (Cel-Pgp-1) has been crystallized, and its drug-modulated ATPase function characterized in?vitro revealed Cel-Pgp-1 as a multidrug transporter. Using this crystal structure, we have developed an in silico drug docking model in order to study the binding of ML and other anthelmintic drugs to Cel-Pgp-1. All tested ML bound with high affinity in a unique site, within the inner chamber of the protein, supporting that ML may be transported by Cel-Pgp-1. Interestingly, interacting residues delineate a ML specific fingerprint involving H-bonds, including T1028. In particular, benzofurane and spiroketal moieties bound to specific sub-sites. When compared with the aglycone ML, such as moxidectin and ivermectin aglycone, avermectin anthelmintics have significant higher affinity for Cel-Pgp-1, likely due to the sugar substituent(s) that bind to a specific area involving H-bonds at Y771. Triclabendazole, closantel and emodepside bound with good affinities to different sub-sites in the inner chamber, partially overlapping with the ML binding site, suggesting that they could compete for Cel-Pgp-1-mediated ML transport. In conclusion, this work provides novel information on the role of nematode Pgps in transporting anthelmintics, and a valuable tool to predict drug-drug interactions and to rationally design new competitive inhibitors of clinically-relevant nematode Pgps, to improve anthelmintic therapeutics."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Graphical abstract Ivermectin (red spheres) binding to Cel-Pgp-1 (blue ribbon: N-term, yellow ribbon: C-term). Image 1"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Highlights ? Cel-Pgp-1 cristal provides a valuable tool to study anthelmintic interactions. ? Cel-Pgp-1 recognizes a broad panel of anthelmintics, including macrocyclic lactones. ? Cel-Pgp-1 is predicted to transport MLs and contribute to anthelmintic resistance. ? Sugars in avermectins increase the affinity to Cel-Pgp-1 compared with moxidectin. ? 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They are usually maintained with 10% fetal bovine serum (FBS) in vitro. Modified platelet-rich plasma (mPRP) would be a safe alternative to 10% FBS during SHEDs culture. Therefore, our study aimed to compare the proliferation and differentiation of SHEDs cultured in mPRP and FBS medium to explore an optimal concentration of mPRP for SHEDs maintenance. Platelets were harvested by automatic blood cell analyzer and activated by repeated liquid nitrogen freezing and thawing. The platelet-related cytokines were examined and analyzed by ELISA. SHEDs were extracted and cultured with different concentrations of mPRP or 10% FBS medium. Alkaline phosphatase (ALP) activity was measured. Mineralization factors, RUNX2 and OCN, were measured by real-time PCR. SHEDs were characterized with mesenchymal stem cells (MSCs) markers including vimentin, CD44, and CD105. mPRP at different concentrations (2, 5, 10, and 20%) enhanced the growth of SHEDs. 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Bruce"}, {"surname": "Zho", "name": "Dejian", "pid": [{"qualifier": {"classid": "ORCID", "classname": "ORCID"}, "value": "0000-0003-3314-9242"}], "rank": 9, "affiliation": [], "fullname": "Zhou, Dejian"}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://europepmc.org/articles/PMC4979658"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-03-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2017-09-25T16:15:20.935Z", "fulltext": [], "dateoftransformation": "2019-07-02T21:52:19.156Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Abstract A highly efficient cap?exchange approach for preparing compact, dense polyvalent mannose?capped quantum dots (QDs) has been developed. The resulting QDs have been successfully used to probe multivalent interactions of HIV/Ebola receptors DC?SIGN and DC?SIGNR (collectively termed as DC?SIGN/R) using a sensitive, ratiometric F?rster resonance energy transfer (FRET) assay. The QD probes specifically bind DC?SIGN, but not its closely related receptor DC?SIGNR, which is further confirmed by its specific blocking of DC?SIGN engagement with the Ebola virus glycoprotein. Tuning the QD surface mannose valency reveals that DC?SIGN binds more efficiently to densely packed mannosides. A FRET?based thermodynamic study reveals that the binding is enthalpy?driven. This work establishes QD FRET as a rapid, sensitive technique for probing structure and thermodynamics of multivalent protein?ligand interactions."}], "format": [], "journal": {"issnPrinted": "1433-7851", "conferencedate": "", "vol": "55", "conferenceplace": "", "name": "Angewandte Chemie (International Ed. in English)", "iss": "15", "sp": "4738", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1521-3773", "ep": "4742", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-03-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "John Wiley and Sons Inc."}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:europepmc.org:3953534"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Angewandte Chemie (International Ed. in English)"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Compact, Polyvalent Mannose Quantum Dots as Sensitive, Ratiometric FRET Probes for Multivalent Protein?Ligand Interactions"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmc", "classname": "pmc", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "PMC5142432"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1186/s12913-016-1928-y"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmid", "classname": "pmid", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "27927241"}], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], 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false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Dental health services"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Dental care"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Inequalities in health care services"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Health surveys"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Monteiro", "name": "Camila Nascimento", "pid": [], "rank": 1, "affiliation": [], "fullname": "Monteiro, Camila Nascimento"}, {"surname": "Beenackers", "name": "Mari Lle A.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Beenackers, Mari?lle A."}, {"surname": "Goldbaum", "name": "Mois S.", "pid": [], "rank": 3, "affiliation": [], "fullname": "Goldbaum, Mois?s"}, {"surname": "Azevedo Barros", "name": "Marilisa Berti", "pid": [], "rank": 4, "affiliation": [], "fullname": "de Azevedo Barros, Marilisa Berti"}, {"surname": "Gianini", "name": "Reinaldo Jos", "pid": [], "rank": 5, "affiliation": [], "fullname": "Gianini, Reinaldo Jos?"}, {"surname": "Cesar", "name": "Chester Luiz Galv O.", "pid": [], "rank": 6, "affiliation": [], "fullname": "Cesar, Chester Luiz Galv?o"}, {"surname": "Mackenbach", "name": "Johan P.", "pid": [], "rank": 7, "affiliation": [], "fullname": "Mackenbach, Johan P."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://europepmc.org/articles/PMC5142432"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2017-09-25T16:02:23.936Z", "fulltext": [], "dateoftransformation": "2019-07-02T22:26:52.735Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Background Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the ?Smiling Brazil? Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in S?o Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Method Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Results Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. Conclusions The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them. Electronic supplementary material The online version of this article (doi:10.1186/s12913-016-1928-y) contains supplementary material, which is available to authorized users."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "16", "conferenceplace": "", "name": "BMC Health Services Research", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "1472-6963", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-12-01"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BioMed Central"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:europepmc.org:4095602"], "source": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BMC Health Services Research"}], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003?2008"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmc", "classname": "pmc", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "PMC4926307"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1186/s12711-016-0225-x"}], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}], "id": "50|od_______908::b331440083ff90d987942554a6ef0e60", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Research Article"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Calus", "name": "Mario P. L.", "pid": [{"qualifier": {"classid": "ORCID", "classname": "ORCID"}, "value": "0000-0002-3213-704X"}], "rank": 1, "affiliation": [], "fullname": "Calus, Mario P. L."}, {"surname": "Bouwman", "name": "Aniek C.", "pid": [], "rank": 2, "affiliation": [], "fullname": "Bouwman, Aniek C."}, {"surname": "Schrooten", "name": "Chris", "pid": [], "rank": 3, "affiliation": [], "fullname": "Schrooten, Chris"}, {"surname": "Veerkamp", "name": "Roel F.", "pid": [], "rank": 4, "affiliation": [], "fullname": "Veerkamp, Roel F."}], "instance": [{"refereed": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "hostedby": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "accessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "license": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "url": ["http://europepmc.org/articles/PMC4926307"], "distributionlocation": "", "processingchargecurrency": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2016-06-01"}, "collectedfrom": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c", "value": "Europe PubMed Central"}, "processingchargeamount": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0001", "classname": "Article", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2017-09-25T16:18:06.421Z", "fulltext": [], "dateoftransformation": "2019-07-02T22:46:54.79Z", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Background Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants and then on a merged dataset containing variants selected in the first step. Results We used a dataset that included 4,154,064 variants after editing and de-regressed proofs for 3415 reference and 2138 validation bulls for somatic cell score, protein yield and interval first to last insemination. In the first step, BSSVS was performed on 106 subsets each containing ~39,189 variants. In the second step, 1060 up to 472,492 variants, selected from the first step, were included to estimate the accuracy of genomic prediction. Accuracies were at best equal to those achieved with the commonly used Bovine 50k-SNP chip, although the number of variants within a few well-known quantitative trait loci regions was considerably enriched. When variant selection and the final genomic prediction were performed on the same data, predictions were biased. Predictions computed as the average of the predictions computed for each subset achieved the highest accuracies, i.e. 0.5?to?1.1?% higher than the accuracies obtained with the 50k-SNP chip, and yielded the least biased predictions. Finally, the accuracy of genomic predictions obtained when all sequence-based variants were included was similar or up to 1.4?% lower compared to that based on the average predictions across the subsets. By applying parallelization, the split-and-merge procedure was completed in 5?days, while the standard analysis including all sequence-based variants took more than three?months. Conclusions The split-and-merge approach splits one large computational task into many much smaller ones, which allows the use of parallel processing and thus efficient genomic prediction based on whole-genome sequence data. The split-and-merge approach did not improve prediction accuracy, probably because we used data on a single breed for which relationships between individuals were high. Nevertheless, the split-and-merge approach may have potential for applications on data from multiple breeds. 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Enucleation is frequently the only management option for this condition, resulting in blindness and psychosocial distress. Even when the cornea remains grossly intact, visual function could also be impaired by a high degree of myopia and keratoconus. Deafness is another common feature and results in combined sensory deprivation. Using autozygosity mapping, we identified mutations in PRDM5 in families with BCS. We demonstrate that regulation of expression of extracellular matrix components, particularly fibrillar collagens, by PRDM5 is a key molecular mechanism that underlies corneal fragility in BCS and controls normal corneal development and maintenance. ZNF469, encoding a zinc finger protein of hitherto undefined function, has been identified as a quantitative trait locus for central corneal thickness, and mutations in this gene have been demonstrated in Tunisian Jewish and Palestinian kindreds with BCS. 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The resulting QDs have been successfully used to probe multivalent interactions of HIV/Ebola receptors DC?SIGN and DC?SIGNR (collectively termed as DC?SIGN/R) using a sensitive, ratiometric F?rster resonance energy transfer (FRET) assay. The QD probes specifically bind DC?SIGN, but not its closely related receptor DC?SIGNR, which is further confirmed by its specific blocking of DC?SIGN engagement with the Ebola virus glycoprotein. Tuning the QD surface mannose valency reveals that DC?SIGN binds more efficiently to densely packed mannosides. A FRET?based thermodynamic study reveals that the binding is enthalpy?driven. 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observation of time-reversal violation. The decays of entangled neutral B mesons into definite flavor states ( B 0 or \\xaf\\xaf\\xaf B 0 ), and J / \\u03c8 K 0 L or c \\xaf c K 0 S final states (referred to as B + or B \\u2212 ), allow comparisons between the probabilities of four pairs of T -conjugated transitions, for example, \\xaf\\xaf\\xaf B 0 \\u2192 B \\u2212 and B \\u2212 \\u2192 \\xaf\\xaf\\xaf B 0 , as a function of the time difference between the two B decays. Using 468 \\xd7 10 6 B \\xaf\\xaf\\xaf B pairs produced in \\u03a5 ( 4 S ) decays collected by the BABAR detector at SLAC, we measure T -violating parameters in the time evolution of neutral B mesons, yielding \\u0394 S + T = \\u2212 1.37 \\xb1 0.14 ( stat ) \\xb1 0.06 ( syst ) and \\u0394 S \\u2212 T = 1.17 \\xb1 0.18 ( stat ) \\xb1 0.11 ( syst ) . These nonzero results represent the first direct observation of T violation through the exchange of initial and final states in transitions that can only be connected by a T -symmetry transformation."}], "format": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "8 p."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "application/pdf"}], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "2012-11-19"}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "American Physical Society"}, "language": {"classid": "eng", "classname": "English", "schemeid": "dnet:languages", "schemename": "dnet:languages"}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemeid": "dnet:access_modes", "schemename": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["oai:diposit.ub.edu:2445/133262"], "source": [], "context": [], "title": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "main title", "classname": "main title", "schemeid": "dnet:dataCite_title", "schemename": "dnet:dataCite_title"}, "value": "Observation of Time-Reversal Violation in the B0 Meson System"}]} -{"dataInfo": {"provenanceaction": {"classid": "sysimport:crosswalk:repository", "classname": "sysimport:crosswalk:repository", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "dedup-similarity-result-levenstein", "invisible": false, "trust": "0.9"}, "resourcetype": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "pid": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "doi", "classname": "doi", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "10.1103/PhysRevLett.109.211801"}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "pmid", "classname": "pmid", "schemeid": "dnet:pid_types", "schemename": "dnet:pid_types"}, "value": "23215586"}], "contributor": [], "resulttype": {"classid": "publication", "classname": "publication", "schemeid": "dnet:result_typologies", "schemename": "dnet:result_typologies"}, "relevantdate": [], "collectedfrom": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "key": "10|opendoar____::89fcd07f20b6785b92134bd6c1d0fa42", "value": "Archivio Istituzionale"}], "id": "50|od_______970::4a33e89a1336f15c6c259086b34890ad", "subject": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "keyword", "classname": "keyword", "schemeid": "dnet:subject_classification_typologies", "schemename": "dnet:subject_classification_typologies"}, "value": "Physics and Astronomy (all)"}], "embargoenddate": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "lastupdatetimestamp": 0, "author": [{"surname": "Lees", "name": "J. 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The decays of entangled neutral B mesons into definite flavor states ($B^0$ or $\\\\bar{B}^0$), and $J/\\\\psi K_S^0$ or $c\\\\bar{c} K_S^0$ final states (referred to as $B_+$ or $B_-$), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, $\\\\bar{B}^0 \\\\rightarrow B_-$ and $B_- \\\\rightarrow \\\\bar{B}^0$, as a function of the time difference between the two B decays. Using 468 million $B\\\\bar{B}$ pairs produced in $\\\\Upsilon(4S)$ decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding $\\\\Delta S_T^+ = -1.37 \\\\pm 0.14 (stat.) \\\\pm 0.06 (syst.)$ and $\\\\Delta S_T^- = 1.17 \\\\pm 0.18 (stat.) \\\\pm 0.11 (syst.)$. These nonzero results represent the first direct observation of T violation through the exchange of initial and final states in transitions that can only be connected by a T-symmetry transformation."}, {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Comment: 7 pages, 3 postscript figures, 1 table, appendix with 4 pages containing supplementary material. Accepted by Phys. Rev. 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We use data from direct numerical simulations up to Taylor's Reynolds number 280 following the evolution of about two million passive tracers advected by the flow over a time span of about three decades. We present data for both the separation distance and the relative velocity statistics. Statistics are measured along the particle pair trajectories both as a function of time and as a function of their separation, i.e. at fixed scales. We compare and contrast both sets of statistics in order to gain an insight into the mechanisms governing the separation process. We find very high levels of intermittency in the early stages, that is, for travel times up to order ten Kolmogorov time scales. The fixed scale statistics allow us to quantify anomalous corrections to Richardson diffusion in the inertial range of scales for those pairs that separate rapidly. 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"", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "instancetype": {"classid": "0000", "classname": "Unknown", "schemeid": "dnet:publication_resource", "schemename": "dnet:publication_resource"}}], "dateofcollection": "2019-10-22T14:21:20+00:00", "fulltext": [], "dateoftransformation": "", "description": [{"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "BACKGROUND The first dengue cases in Brazil with laboratory confirmation occurred in the northern region of the country, with the isolation of two serotypes, dengue virus 1 (DENV-1) and DENV-4. In Cear\\xe1, the introduction of DENV-4 was reported during a DENV-1 epidemic in 2011, with only two isolations. OBJECTIVES The aim of this study was to characterise the first DENV-4 epidemic in the state of Cear\\xe1, Brazil. METHODS The study population was composed of patients with suspected dengue that were reported to health care units from January to December 2012. The laboratory confirmation of infection was made by viral isolation, reverse transcription polymerase chain reaction (RT-PCR), AgNS1, immunohistochemistry and IgM enzyme-linked immunosorbent assay (ELISA). MAIN CONCLUSIONS In the study year, 72,211 suspected dengue cases were reported and 51,865 of these cases (71.8%) were confirmed to be positive. Co-circulation of three serotypes, DENV-1, DENV-3 and DENV-4, was detected with a predominance of DENV-4 (95.3%). Most cases were not severe, but there were 44 fatal outcomes. 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The decays of entangled neutral B mesons into definite flavor states (B(0) or B(0)), and J/\\u03c8K(L)(0) or ccK(S)(0) final states (referred to as B(+) or B(-)), allow comparisons between the probabilities of four pairs of T-conjugated transitions, for example, B(0) \\u2192 B(-) and B(-) \\u2192 B(0), as a function of the time difference between the two B decays. Using 468 \\xd7 10(6) BB pairs produced in \\u03a5(4S) decays collected by the BABAR detector at SLAC, we measure T-violating parameters in the time evolution of neutral B mesons, yielding \\u0394S(T)(+) = -1.37 \\xb1 0.14(stat) \\xb1 0.06(syst) and \\u0394S(T)(-) = 1.17 \\xb1 0.18(stat) \\xb1 0.11(syst). These nonzero results represent the first direct observation of T violation through the exchange of initial and final states in transitions that can only be connected by a T-symmetry transformation."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, 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Here, we tested whether deletion of PARP-2, an alternative NAD(+)-consuming enzyme, impacts on NAD(+) bioavailability and SIRT1 activity. Our results indicate that PARP-2 deficiency increases SIRT1 activity in cultured myotubes. However, this increase was not due to changes in NAD(+) levels, but to an increase in SIRT1 expression, as PARP-2 acts as a direct negative regulator of the SIRT1 promoter. PARP-2 deletion in mice increases SIRT1 levels, promotes energy expenditure, and increases mitochondrial content. Furthermore, PARP-2(-/-) mice were protected against diet-induced obesity. Despite being insulin sensitized, PARP-2(-/-) mice were glucose intolerant due to a defective pancreatic function. Hence, while inhibition of PARP activity promotes oxidative metabolism through SIRT1 activation, the use of PARP inhibitors for metabolic purposes will require further understanding of the specific functions of different PARP family members."}], "format": [], "journal": {"issnPrinted": "", "conferencedate": "", "vol": "", "conferenceplace": "", "name": "", "iss": "", "sp": "", "edition": "", "dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "issnOnline": "", "ep": "", "issnLinking": ""}, "dateofacceptance": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", "schemeid": "", "schemename": ""}, "deletedbyinference": false, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": ""}, "coverage": [], "publisher": {"dataInfo": {"provenanceaction": {"classid": "", "classname": "", 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The increase of private health care plans and the implementation of the \\u201cSmiling Brazil\\u201d Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in Sao Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. 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Technically, SmartVox is a distributed web application that delivers audiovisual scores through the performer's mobile devices. From a singer's point of view, this setup allows for the synergy between visual and acoustic stimuli, which facilitates the interpretive and performative processes, particularly in polyphonic passages. It also enables spatial separation of the performers (cori spezzati ), and speeds up the learning process of unfamiliar musical materials (e.g. microtonal tuning, texts in a foreign language). 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QEDS is an educacional simulator that focus in study the Quantum Ambaninis' Algorithm for Element Distinctness.

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Release to create DOI citation for Leasi et al. Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach .

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First release

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We use Ideal Adsorbed Solution Theory (IAST) to predict the loading of the gas mixture on the bundle, based only on the knowledge of the pure adsorption isotherms of the individual components.

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Simulation of long polymer chains under shear flow
\\n--------------------------------------------------
\\n************* by Airidas Korolkovas *************

\\n\\n


\\n--- Overview ---
\\nThis software numerically solves the equation of motion for a network of long (entangled) polymer chains.

\\n\\n

The physics and math were originally described in this publication: (attached here)
\\nAiridas Korolkovas, Philipp Gutfreund, and Jean-Louis Barrat. "Simulation of entangled polymer solutions." The Journal of Chemical Physics 145.12 (2016): 124113.

\\n\\n

The extension for shear flow is described in this article: (also attached)
\\nAiridas Korolkovas, Philipp Gutfreund, and Maximilian Wolff. "Dynamical structure of entangled polymers simulated under shear flow." (in preparation)

\\n\\n


\\n--- System requirements ---
\\nThe code runs in Matlab, and was tested for the Matlab 2016a version. There is both a CPU and a GPU option (about 10-50x faster).
\\nTo run the GPU code effectively, a CUDA-enabled Nvidia card is required. Quadro M5000 model was tested to give acceptable performance.

\\n\\n

 

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Bug fix:

\\n\\n
    \\n
  • When creating the StarModel.samples attribute, there used to be a hard-coded cut on lnprob that only made sense in a very limited circumstance. This has been replaced with a cut to cull the top 99.5% (as ranked by lnprob) samples.
    • \\n
\\n\\n

Feature added:

\\n\\n
    \\n
  • \\nTripleStarModel, along the lines of BinaryStarModel but with three stars.
    • \\n
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    \\n
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    • \\n
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This is a beta release of StaG-mwc v0.3.0.

\\n

Several known issues exist, check or report issues in the issue tracker on Github. \\nKnown issues using the available rules for downloading reference databases.

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"Simulation of long polymer chains under shear flow
\\n--------------------------------------------------
\\n************* by Airidas Korolkovas *************\\n\\n
\\n--- Overview ---
\\nThis software numerically solves the equation of motion for a network of long (entangled) polymer chains.\\n\\nThe physics and math were originally described in this publication: (attached here)
\\nAiridas Korolkovas, Philipp Gutfreund, and Jean-Louis Barrat. \"Simulation of entangled polymer solutions.\" The Journal of Chemical Physics 145.12 (2016): 124113.\\n\\nThe extension for shear flow is described in this article: (also attached)
\\nAiridas Korolkovas, Philipp Gutfreund, and Maximilian Wolff. \"Dynamical structure of entangled polymers simulated under shear flow.\" (in preparation)\\n\\n
\\n--- System requirements ---
\\nThe code runs in Matlab, and was tested for the Matlab 2016a version. There is both a CPU and a GPU option (about 10-50x faster).
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Quadro M5000 model was tested to give acceptable performance."}], "format": [], "coverage": [], "publisher": {"dataInfo": {"deletedbyinference": false, "provenanceaction": {"classid": "", "classname": "", "schemename": "", "schemeid": ""}, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "value": "Zenodo"}, "license": [{"dataInfo": {"deletedbyinference": false, "provenanceaction": {"classid": "", "classname": "", "schemename": "", "schemeid": ""}, "inferred": false, "inferenceprovenance": "", "invisible": false, "trust": ""}, "qualifier": {"classid": "", "classname": "", "schemename": "", "schemeid": ""}, "value": "https://creativecommons.org/licenses/by/4.0"}], "language": {"classid": "", "classname": "", "schemename": "", "schemeid": ""}, "bestaccessright": {"classid": "OPEN", "classname": "Open Access", "schemename": "dnet:access_modes", "schemeid": "dnet:access_modes"}, "country": [], "extraInfo": [], "originalId": ["10.5281/zenodo.439529", 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Simulation of long polymer chains under shear flow
\\n--------------------------------------------------
\\n************* by Airidas Korolkovas *************

\\n\\n


\\n--- Overview ---
\\nThis software numerically solves the equation of motion for a network of long (entangled) polymer chains.

\\n\\n

The physics and math were originally described in this publication: (attached here)
\\nAiridas Korolkovas, Philipp Gutfreund, and Jean-Louis Barrat. \"Simulation of entangled polymer solutions.\" The Journal of Chemical Physics 145.12 (2016): 124113.

\\n\\n

The extension for shear flow is described in this article: (also attached)
\\nAiridas Korolkovas, Philipp Gutfreund, and Maximilian Wolff. \"Dynamical structure of entangled polymers simulated under shear flow.\" (in preparation)

\\n\\n


\\n--- System requirements ---
\\nThe code runs in Matlab, and was tested for the Matlab 2016a version. There is both a CPU and a GPU option (about 10-50x faster).
\\nTo run the GPU code effectively, a CUDA-enabled Nvidia card is required. Quadro M5000 model was tested to give acceptable performance.

\\n\\n

\\xa0

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This is a maintenance release. Python 3.6 and 3.7 are supported.

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2016.2 release of the CppTransport platform for computation of correlation functions generated during an inflationary epoch in the early universe.

\\n\\n

This is a bug-fix release that addresses a specific performance issue when integrating correlation functions with k_t exponentially different to k*. This would cause a significant slowdown and could require unnecessarily tight numerical tolerances.

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This is a python software that looks into the reduction of crime by the Los Angeles Police Department (L.A.P.D). The crimes are those that were reported to the various police divisions from the years 2010 to 2017. The software shows the most occurring crimes, the weapons used in perpetuating the crimes and the victims of the crimes. Also, a map showing the locations with most crimes and the nature of crimes that occurs most is included in the software. Bar charts were used to display various victims of crimes as well as the weapons used. Again, a pie chart was used to show the total number of crimes recorded in the various years. Further more, line graphs portraying the trend of crimes from the various years and a scatter plot displaying the various age ranges of the victims of crimes.

\\n\\n

Last but not least, a heat map of the locations of all the crimes from the years 2010 to 2017, with places that recorded the most crimes having deeper colorization of the map.

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This is a python software that looks into the reduction of crime by the Los Angeles Police Department (L.A.P.D). The crimes are those that were reported to the various police divisions from the years 2010 to 2017. The\\xa0software shows the most occurring crimes, the weapons used in perpetuating the crimes and the victims of the crimes. Also, a map showing the locations\\xa0with most crimes and the nature of crimes that occurs most is included in the\\xa0software. Bar charts\\xa0were\\xa0used to display various victims of crimes as well as the weapons used. Again, a pie chart was used to show the total number of crimes recorded in the various years. Further more, line graphs portraying the trend of crimes from the various years and a scatter plot displaying the various age ranges of the victims of\\xa0crimes.

\\n\\n

Last but not least, a heat map of the locations of all the crimes from the years 2010 to 2017, with places that recorded\\xa0the most crimes having deeper colorization of the map.

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Release 0.12.0-rc1 (April 20, 2016)

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  • ENH: Add nipype_crash_search command (https://github.com/nipy/nipype/pull/1422)
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  • ENH: Created interface for BrainSuite Cortical Surface Extraction command line tools (https://github.com/nipy/nipype/pull/1305)
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  • FIX: job execution on systems/approaches where locale is undefined (https://github.com/nipy/nipype/pull/1401)
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  • FIX: Clean up byte/unicode issues using subprocess (https://github.com/nipy/nipype/pull/1394)
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  • FIX: Prevent crash when tvtk is loaded - ETS_TOOLKIT=null (https://github.com/nipy/nipype/pull/973)
    • \\n\\t
  • ENH: New interfaces in dipy: RESTORE, EstimateResponseSH, CSD and StreamlineTractography (https://github.com/nipy/nipype/pull/1090)
    • \\n\\t
  • ENH: Added interfaces of AFNI (https://github.com/nipy/nipype/pull/1360, https://github.com/nipy/nipype/pull/1361, https://github.com/nipy/nipype/pull/1382)
    • \\n\\t
  • ENH: Provides a Nipype wrapper for antsJointFusion (https://github.com/nipy/nipype/pull/1351)
    • \\n\\t
  • ENH: Added support for PETPVC (https://github.com/nipy/nipype/pull/1335)
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  • ENH: Merge S3DataSink into DataSink, added AWS documentation (https://github.com/nipy/nipype/pull/1316)
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  • TST: Cache APT in CircleCI (https://github.com/nipy/nipype/pull/1333)
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  • ENH: Add new flags to the BRAINSABC for new features (https://github.com/nipy/nipype/pull/1322)
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  • ENH: Provides a Nipype wrapper for ANTs DenoiseImage (https://github.com/nipy/nipype/pull/1291)
    • \\n\\t
  • FIX: Minor bugfix logging hash differences (https://github.com/nipy/nipype/pull/1298)
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  • FIX: Use released Prov python library (https://github.com/nipy/nipype/pull/1279)
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  • ENH: Support for Python 3 (https://github.com/nipy/nipype/pull/1221)
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  • FIX: VTK version check missing when using tvtk (https://github.com/nipy/nipype/pull/1219)
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  • ENH: Added an OAR scheduler plugin (https://github.com/nipy/nipype/pull/1259)
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  • ENH: New ANTs interface: antsBrainExtraction (https://github.com/nipy/nipype/pull/1231)
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  • API: Default model level for the bedpostx workflow has been set to "2" following FSL 5.0.9 lead
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  • ENH: New interfaces for interacting with AWS S3: S3DataSink and S3DataGrabber (https://github.com/nipy/nipype/pull/1201)
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  • ENH: Interfaces for MINC tools (https://github.com/nipy/nipype/pull/1304)
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  • FIX: Use realpath to determine hard link source (https://github.com/nipy/nipype/pull/1388)
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  • FIX: Correct linking/copying fallback behavior (https://github.com/nipy/nipype/pull/1391)
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  • ENH: Nipype workflow and interfaces for FreeSurfer's recon-all (https://github.com/nipy/nipype/pull/1326)
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  • FIX: Permit relative path for concatenated_file input to Concatenate() (https://github.com/nipy/nipype/pull/1411)
    • \\n\\t
  • ENH: Makes ReconAll workflow backwards compatible with FreeSurfer 5.3.0 (https://github.com/nipy/nipype/pull/1434)
    • \\n
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This software is an implementation of the general error model described in the work entitled \"General error model for analysis of laser-induced incandescence
signals\" by T. A. Sipkens and coworkers, which simulates signals according to the described error model (sufficient for generating Figure 1 in the associated work) and demonstrates a fitting procedure to infer the error model parameters from the produced signals.

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Added updated citations and DOI (for PSA paper in PLOS Computational Biology):

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Seyler SL, Kumar A, Thorpe MF, Beckstein O (2015) Path Similarity Analysis: a Method for Quantifying Macromolecular Pathways. PLoS Comput Biol. doi: 10.1371/journal.pcbi.1004568 (also: arXiv:1505.04807 [q-bio.QM])

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.../stats}/oozie_app/scripts/step12_3.sql | 0 .../stats}/oozie_app/scripts/step12_4.sql | 0 .../stats}/oozie_app/scripts/step12_5.sql | 0 .../stats}/oozie_app/scripts/step12_6.sql | 0 .../stats}/oozie_app/scripts/step12_7.sql | 0 .../stats}/oozie_app/scripts/step12_8.sql | 0 .../graph/stats}/oozie_app/scripts/step13.sql | 0 .../graph/stats}/oozie_app/scripts/step14.sql | 0 .../stats}/oozie_app/scripts/step2_1.sql | 0 .../stats}/oozie_app/scripts/step2_2.sql | 0 .../stats}/oozie_app/scripts/step2_3.sql | 0 .../stats}/oozie_app/scripts/step2_4.sql | 0 .../stats}/oozie_app/scripts/step2_5.sql | 0 .../stats}/oozie_app/scripts/step2_6.sql | 0 .../stats}/oozie_app/scripts/step2_7.sql | 0 .../stats}/oozie_app/scripts/step2_8.sql | 0 .../stats}/oozie_app/scripts/step2_9.sql | 0 .../graph/stats}/oozie_app/scripts/step3.sql | 0 .../stats}/oozie_app/scripts/step4_1.sql | 0 .../stats}/oozie_app/scripts/step4_10.sql | 0 .../stats}/oozie_app/scripts/step4_2.sql | 0 .../stats}/oozie_app/scripts/step4_3.sql | 0 .../stats}/oozie_app/scripts/step4_4.sql | 0 .../stats}/oozie_app/scripts/step4_5.sql | 0 .../stats}/oozie_app/scripts/step4_6.sql | 0 .../stats}/oozie_app/scripts/step4_7.sql | 0 .../stats}/oozie_app/scripts/step4_8.sql | 0 .../stats}/oozie_app/scripts/step4_9.sql | 0 .../stats}/oozie_app/scripts/step5_1.sql | 0 .../stats}/oozie_app/scripts/step5_10.sql | 0 .../stats}/oozie_app/scripts/step5_2.sql | 0 .../stats}/oozie_app/scripts/step5_3.sql | 0 .../stats}/oozie_app/scripts/step5_4.sql | 0 .../stats}/oozie_app/scripts/step5_5.sql | 0 .../stats}/oozie_app/scripts/step5_6.sql | 0 .../stats}/oozie_app/scripts/step5_7.sql | 0 .../stats}/oozie_app/scripts/step5_8.sql | 0 .../stats}/oozie_app/scripts/step5_9.sql | 0 .../stats}/oozie_app/scripts/step6_1.sql | 0 .../stats}/oozie_app/scripts/step6_10.sql | 0 .../stats}/oozie_app/scripts/step6_2.sql | 0 .../stats}/oozie_app/scripts/step6_3.sql | 0 .../stats}/oozie_app/scripts/step6_4.sql | 0 .../stats}/oozie_app/scripts/step6_5.sql | 0 .../stats}/oozie_app/scripts/step6_6.sql | 0 .../stats}/oozie_app/scripts/step6_7.sql | 0 .../stats}/oozie_app/scripts/step6_8.sql | 0 .../stats}/oozie_app/scripts/step6_9.sql | 0 .../stats}/oozie_app/scripts/step7_1.sql | 0 .../stats}/oozie_app/scripts/step7_2.sql | 0 .../stats}/oozie_app/scripts/step7_3.sql | 0 .../stats}/oozie_app/scripts/step7_4.sql | 0 .../stats}/oozie_app/scripts/step7_5.sql | 0 .../stats}/oozie_app/scripts/step8_1.sql | 0 .../stats}/oozie_app/scripts/step8_10.sql | 0 .../stats}/oozie_app/scripts/step8_11.sql | 0 .../stats}/oozie_app/scripts/step8_2.sql | 0 .../stats}/oozie_app/scripts/step8_3.sql | 0 .../stats}/oozie_app/scripts/step8_4.sql | 0 .../stats}/oozie_app/scripts/step8_5.sql | 0 .../stats}/oozie_app/scripts/step8_6.sql | 0 .../stats}/oozie_app/scripts/step8_7.sql | 0 .../stats}/oozie_app/scripts/step8_8.sql | 0 .../stats}/oozie_app/scripts/step8_9.sql | 0 .../stats}/oozie_app/scripts/step9_1.sql | 0 .../stats}/oozie_app/scripts/step9_2.sql | 0 .../stats}/oozie_app/scripts/step9_3.sql | 0 .../stats}/oozie_app/scripts/step9_4.sql | 0 .../stats}/oozie_app/scripts/step9_5.sql | 0 .../stats}/oozie_app/scripts/step9_6.sql | 0 .../stats}/oozie_app/scripts/step9_7.sql | 0 .../stats}/oozie_app/scripts/step9_8.sql | 0 .../stats}/oozie_app/scripts/step9_9.sql | 0 .../oa/graph/stats}/oozie_app/workflow.xml | 733 +++--------------- 82 files changed, 89 insertions(+), 644 deletions(-) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/config-default.xml (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step10_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step10_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step10_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step11.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step12_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step13.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step14.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step2_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_10.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step4_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_10.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step5_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_10.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step6_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step7_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step7_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step7_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step7_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step7_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_10.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_11.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step8_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_1.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_2.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_3.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_4.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_5.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_6.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_7.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_8.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/scripts/step9_9.sql (100%) rename dhp-workflows/dhp-stats-update/src/main/resources/{graph => eu/dnetlib/dhp/oa/graph/stats}/oozie_app/workflow.xml (53%) diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/config-default.xml similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/config-default.xml rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/config-default.xml diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step10_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step10_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step11.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step11.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step11.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step12_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step12_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step13.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step13.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step13.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step14.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step14.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step14.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step2_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step2_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_10.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_10.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_10.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step4_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step4_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_10.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_10.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_10.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step5_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_10.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_10.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_10.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step6_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step6_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step7_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step7_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_10.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_10.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_10.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_11.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_11.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_11.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step8_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step8_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_1.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_1.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_1.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_2.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_2.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_2.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_3.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_3.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_3.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_4.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_4.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_4.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_5.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_5.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_5.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_6.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_6.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_6.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_7.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_7.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_7.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_8.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_8.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_8.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_9.sql similarity index 100% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/scripts/step9_9.sql rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step9_9.sql diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml similarity index 53% rename from dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml rename to dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml index 40f4b14ba..1651410c2 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/graph/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml @@ -12,8 +12,27 @@ external_stats_db_name the external stats that should be added since they are not included in the graph database + + hive_metastore_uris + hive server metastore URIs + + + hive_jdbc_url + hive server jdbc url + + + ${jobTracker} + ${nameNode} + + + hive.metastore.uris + ${hive_metastore_uris} + + + + @@ -22,14 +41,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -41,14 +52,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -57,16 +60,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -75,16 +71,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -93,16 +82,9 @@ - + + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -111,16 +93,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -129,16 +104,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -147,16 +115,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -165,16 +126,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -183,16 +137,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -204,14 +151,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -223,14 +162,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -239,16 +170,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -257,16 +181,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -275,16 +192,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -293,16 +203,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -311,16 +214,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -329,16 +225,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -347,16 +236,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -365,16 +247,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -383,16 +258,9 @@ + - - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - + ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -404,14 +272,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -420,16 +280,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -438,16 +291,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -456,16 +302,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -474,16 +313,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -492,16 +324,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -510,16 +335,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -528,16 +346,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -546,16 +357,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -564,16 +368,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -585,14 +382,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -601,16 +390,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -619,16 +401,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -637,16 +412,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -655,16 +423,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -673,16 +434,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -691,16 +445,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -709,16 +456,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -727,16 +467,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -745,16 +478,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -766,14 +492,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -782,16 +500,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -800,16 +511,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -818,16 +522,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -836,16 +533,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -857,14 +547,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -873,16 +555,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -891,16 +566,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -909,16 +577,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -927,16 +588,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -945,16 +599,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -963,16 +610,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -981,16 +621,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -999,16 +632,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1017,16 +643,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1035,16 +654,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1056,14 +668,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1072,16 +676,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1090,16 +687,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1108,16 +698,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1126,16 +709,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1144,16 +720,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1162,16 +731,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1180,16 +742,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1198,16 +753,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1219,14 +767,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1235,16 +775,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1253,16 +786,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1274,14 +800,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1294,14 +812,6 @@ - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1310,16 +820,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1328,16 +831,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1346,16 +842,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1364,16 +853,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1382,16 +864,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1400,16 +875,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1418,16 +886,9 @@ + - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1438,15 +899,7 @@ - - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - + ${hive_jdbc_url} stats_db_name=${stats_db_name} @@ -1457,15 +910,7 @@ - - ${jobTracker} - ${nameNode} - - - hive.metastore.uris - ${hive_metastore_uris} - - + ${hive_jdbc_url} stats_db_name=${stats_db_name} From 8fd81e863d4ba47f29032aef5a50f55ca142f24f Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 29 Apr 2020 15:36:24 +0200 Subject: [PATCH 6/7] added default value for the external_stats_db_name --- .../eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml | 1 + 1 file changed, 1 insertion(+) diff --git a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml index 1651410c2..19f3316d8 100644 --- a/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml +++ b/dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/workflow.xml @@ -10,6 +10,7 @@ external_stats_db_name + stats_ext the external stats that should be added since they are not included in the graph database From 0ab13b703bd6ff62ff98333a1207f3fe09337400 Mon Sep 17 00:00:00 2001 From: Claudio Atzori Date: Wed, 29 Apr 2020 16:11:17 +0200 Subject: [PATCH 7/7] added LICENSE file - AGPL-3.0 --- LICENSE | 661 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 661 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 000000000..2def0e883 --- /dev/null +++ b/LICENSE @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and 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Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. \ No newline at end of file

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