diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication
index 901b34abc0..08d45a8865 100644
--- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication
+++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump/publication
@@ -9,4 +9,5 @@
 {"author":[{"fullname":"K.P. Moustris","name":"K. P.","rank":1,"surname":"Moustris"},{"fullname":"D. Zafirakis","name":"D.","rank":2,"surname":"Zafirakis"},{"fullname":"K.A. Kavvadias","name":"K. A.","rank":3,"surname":"Kavvadias"},{"fullname":"J.K. Kaldellis","name":"J. K.","rank":4,"surname":"Kaldellis"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}],"container":{"name":"Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016)"},"context":[{"code":"sdsn-gr","label":"SDSN - Greece","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.9"}]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"2020-02-01T05:10:47Z","description":["One of the main parameters affecting the reliability of the renewable energy sources (RES) system, compared to the local conventional power station, is the ability to forecast the RES availability for a few hours ahead. To this end, the main objective of this work is the prognosis of the mean, maximum and minimum hourly wind power (WP) 8hours ahead. For this purpose, Artificial Neural Networks (ANN) modeling is applied. For the appropriate training of the developed ANN models hourly meteorological data are used. These data have been recorded by a meteorological mast in Tilos Island, Greece.\n\nFor the evaluation of the developed ANN forecasting models proper statistical evaluation indices are used. According to the results, the coefficient of the determination ranges from 0.285 up to 0.768 (mean hourly WP), from 0.227 up to 0.798 (maximum hourly WP) and from 0.025 up to 0.398 (minimum hourly WP). Furthermore, the proposed forecasting methodology shows that is able to give sufficient and adequate prognosis of WP by a wind turbine in a specific location 8 hours ahead. This will be a useful tool for the operator of a RES system in order to achieve a better monitoring and a better management of the whole system."],"format":[],"id":"50|dedup_wf_001::0a6525f420fd1f922125c3a1a280c8df","instance":[{"accessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"publicationdate":"2017-02-23T20:11:53Z","refereed":"UNKNOWN","type":"Conference object","url":["http://digital-library.theiet.org/content/conferences/10.1049/cp.2016.1094?crawler=true","http://dx.doi.org/10.1049/cp.2016.1094"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"license":"cc-by","refereed":"UNKNOWN","type":"Conference object","url":["https://zenodo.org/record/887339/files/Wind%20power%20forecasting%20using%20historical%20data%20and%20artificial%20neural%20networks%20modeling.pdf"]},{"collectedfrom":{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"refereed":"UNKNOWN","type":"Conference object","url":["http://digital-library.theiet.org/content/conferences/10.1049/cp.2016.1094","https://core.ac.uk/display/144851191","http://jglobal.jst.go.jp/public/20090422/201702260673071390","https://academic.microsoft.com/#/detail/2590295725"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"hostedby":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"license":"http://creativecommons.org/licenses/by/4.0/legalcode","publicationdate":"2016-11-07","refereed":"UNKNOWN","type":"Conference object","url":["https://zenodo.org/record/887339"]}],"language":{"code":"und","label":"Undetermined"},"lastupdatetimestamp":1603727328518,"maintitle":"Wind power forecasting using historical data and artificial neural networks modeling","originalId":["10.1049/cp.2016.1094","2590295725","oai:zenodo.org:887339"],"pid":[{"scheme":"doi","value":"10.1049/cp.2016.1094"}],"projects":[{"acronym":"TILOS","code":"646529","funder":{"fundingStream":"H2020","jurisdiction":"EU","name":"European Commission","shortName":"EC"},"id":"40|corda__h2020::64c901e621f90b9a38badb1d78902205","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"Technology Innovation for the Local Scale, Optimum Integration of Battery Energy Storage"}],"publicationdate":"2016-11-07","publisher":"Institution of Engineering and Technology","subjects":[{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"Wind Power, Forecasting, Artificial Neural Networks"}}],"type":"publication"}
 {"author":[{"fullname":"Juan M. Traverso","name":"Juan M.","rank":1,"surname":"Traverso"},{"fullname":"Julien Bobe","name":"Julien","rank":2,"surname":"Bobe"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|opendoar____::88855547570f7ff053fff7c54e5148cc","value":"HAL Descartes"},{"key":"10|opendoar____::1534b76d325a8f591b52d302e7181331","value":"Mémoires en Sciences de l'Information et de la Communication"},{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"}],"context":[{"code":"fam","label":"Fisheries and Aquaculture Management","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.9"}]},{"code":"mes","label":"European Marine Science","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.9"}]}],"contributor":["Station commune de Recherches en Ichtyophysiologie, Biodiversité et Environnement (SCRIBE) ; Institut National de la Recherche Agronomique (INRA)","Institut Fédératif de Recherche - Génétique Fonctionnelle Agronomie et Santé (IFR 140 GFAS)","European Project: 222719,EC:FP7:KBBE,FP7-KBBE-2007-2A,LIFECYCLE(2009)","Station commune de Recherches en Ichtyophysiologie, Biodiversité et Environnement (SCRIBE) ; Institut National de la Recherche Agronomique (INRA)-IFR140"],"country":[{"code":"FR","label":"France","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2020-10-17T09:56:33.515Z","description":[],"format":[],"id":"50|dedup_wf_001::0b9078b1d22faeab00e52a2796dbbad0","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::88855547570f7ff053fff7c54e5148cc","value":"HAL Descartes"},"hostedby":{"key":"10|opendoar____::88855547570f7ff053fff7c54e5148cc","value":"HAL Descartes"},"publicationdate":"2009-07-18","refereed":"UNKNOWN","type":"Conference object","url":["https://hal.inrae.fr/hal-02754267"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::1534b76d325a8f591b52d302e7181331","value":"Mémoires en Sciences de l'Information et de la Communication"},"hostedby":{"key":"10|opendoar____::1534b76d325a8f591b52d302e7181331","value":"Mémoires en Sciences de l'Information et de la Communication"},"publicationdate":"2009-07-18","refereed":"UNKNOWN","type":"Conference object","url":["https://hal.inrae.fr/hal-02754267"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},"hostedby":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},"publicationdate":"2009-07-18","refereed":"UNKNOWN","type":"Conference object","url":["https://hal.inrae.fr/hal-02754267"]},{"accessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"hostedby":{"key":"10|issn___print::e7b4be4856b6d6d7c3484bf403b44634","value":"Biology of Reproduction"},"publicationdate":"2009-07-01","refereed":"UNKNOWN","type":"Article","url":["http://academic.oup.com/biolreprod/article-pdf/81/Suppl_1/285/","http://dx.doi.org/10.1093/biolreprod/81.s1.285"]},{"collectedfrom":{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},"hostedby":{"key":"10|issn___print::e7b4be4856b6d6d7c3484bf403b44634","value":"Biology of Reproduction"},"refereed":"UNKNOWN","type":"Article","url":["https://academic.oup.com/biolreprod/article/2955191/The","https://academic.microsoft.com/#/detail/2594950426"]}],"language":{"code":"eng","label":"English"},"lastupdatetimestamp":1603727328518,"maintitle":"The maternal contribution of oocyte-specific genes to embryo development in zebrafish: analysis by real-time PCR and knock-down using morpholino oligos","originalId":["oai:HAL:hal-02754267v1","10.1093/biolreprod/81.s1.285","2594950426"],"pid":[{"scheme":"doi","value":"10.1093/biolreprod/81.s1.285"}],"projects":[{"acronym":"LIFECYCLE","code":"222719","funder":{"fundingStream":"FP7","jurisdiction":"EU","name":"European Commission","shortName":"EC"},"id":"40|corda_______::f3b07b1c9d0afbdb983a9b5820f4e34b","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"Building a biological knowledge-base on fish lifecycles for competitive, sustainable European aquaculture"}],"publicationdate":"2009-07-18","publisher":"HAL CCSD","subjects":[{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"[SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology"}}],"type":"publication"}
 {"author":[{"fullname":"Pasquale Nino","name":"Pasquale","pid":{"id":{"scheme":"orcid","value":"0000-0002-7070-4586"}},"rank":1,"surname":"Nino"},{"fullname":"Guido D'Urso","name":"Guido","pid":{"id":{"scheme":"orcid","value":"0000-0002-0251-4668"}},"rank":2,"surname":"D'Urso"},{"fullname":"Salvatore Falanga Bolognesi","name":"Salvatore","pid":{"id":{"scheme":"orcid","value":"0000-0003-0134-2574"}},"rank":3,"surname":"Falanga Bolognesi"},{"fullname":"Giuseppe Pulighe","name":"Giuseppe","pid":{"id":{"scheme":"orcid","value":"0000-0002-6470-0984"}},"rank":4,"surname":"Pulighe"},{"fullname":"Carlo De Michele","name":"Carlo","pid":{"id":{"scheme":"orcid","value":"0000-0002-3797-850X"}},"rank":5,"surname":"De Michele"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::a8db6f6b2ce4fe72e8b2314a9a93e7d9","value":"Sygma"},{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},{"key":"10|openaire____::806360c771262b4d6770e7cdf04b5c5a","value":"ORCID"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},{"key":"10|openaire____::c2cdfa5866e03cdd07d313cbc8fb8311","value":"Multidisciplinary Digital Publishing Institute"},{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"},{"key":"10|opendoar____::d8c24ca8f23c562a5600876ca2a550ce","value":"Archivio della ricerca - Università degli studi di Napoli Federico II"}],"container":{"edition":"","ep":"14730","iss":"11","issnLinking":"","issnOnline":"2072-4292","issnPrinted":"","name":"Remote Sensing","sp":"14708","vol":"7"},"context":[{"code":"sdsn-gr","label":"SDSN - Greece","provenance":[{"provenance":"Inferred by OpenAIRE","trust":"0.9"}]}],"contributor":[],"country":[{"code":"IT","label":"Italy","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"","description":["The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead “tendone” systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the “direct” methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm·d−1, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013,  and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers."],"format":["application/pdf"],"id":"50|dedup_wf_001::0bc332de35b4eb0cc3d0c54b3ff22dd3","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::a8db6f6b2ce4fe72e8b2314a9a93e7d9","value":"Sygma"},"hostedby":{"key":"10|openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"license":"https://creativecommons.org/licenses/by/4.0/","refereed":"UNKNOWN","type":"Article","url":["http://dx.doi.org/10.3390/rs71114708"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"hostedby":{"key":"10|doajarticles::f7180a75ef642fcf5309759e0d2c431a","value":"Remote Sensing"},"license":"https://creativecommons.org/licenses/by/4.0/","publicationdate":"2015-11-05","refereed":"UNKNOWN","type":"Article","url":["http://www.mdpi.com/2072-4292/7/11/14708/pdf","http://dx.doi.org/10.3390/rs71114708"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::8ac8380272269217cb09a928c8caa993","value":"UnpayWall"},"hostedby":{"key":"10|doajarticles::f7180a75ef642fcf5309759e0d2c431a","value":"Remote Sensing"},"license":"cc-by","refereed":"UNKNOWN","type":"Article","url":["https://www.mdpi.com/2072-4292/7/11/14708/pdf"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"},"hostedby":{"key":"10|doajarticles::f7180a75ef642fcf5309759e0d2c431a","value":"Remote Sensing"},"refereed":"UNKNOWN","type":"Article","url":["https://dblp.uni-trier.de/db/journals/remotesensing/remotesensing7.html#VaninoPNMBD15","https://doi.org/10.3390/rs71114708","https://core.ac.uk/display/55147144","http://doi.org/10.3390/rs71114708","https://academic.microsoft.com/#/detail/2149946514"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::c2cdfa5866e03cdd07d313cbc8fb8311","value":"Multidisciplinary Digital Publishing Institute"},"hostedby":{"key":"10|doajarticles::f7180a75ef642fcf5309759e0d2c431a","value":"Remote Sensing"},"license":"http://creativecommons.org/licenses/by/3.0/","publicationdate":"2015-11-05","refereed":"UNKNOWN","type":"Other literature type","url":["http://dx.doi.org/10.3390/rs71114708"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"},"hostedby":{"key":"10|doajarticles::f7180a75ef642fcf5309759e0d2c431a","value":"Remote Sensing"},"publicationdate":"2015-11-01","refereed":"UNKNOWN","type":"Article","url":["http://www.mdpi.com/2072-4292/7/11/14708","https://doaj.org/toc/2072-4292"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::d8c24ca8f23c562a5600876ca2a550ce","value":"Archivio della ricerca - 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Vertical velocities can be estimated indirectly from in situ observations by theoretical frameworks like the-equation. Direct measures of vertical exchanges are challenging due to their typically ephemeral spatiotemporal scales. In this study we address this problem with an adaptive sampling strategy coupling various biophysical instruments. We analyze the 3-D organization of a cyclonic mesoscale structure finely sampled during the Observing Submesoscale Coupling At High Resolution cruise in the Ligurian Sea during fall 2015. The observations, acquired with a moving vessel profiler, highlight a subsurface low-salinity layer (≃50 m), as well as rising isopycnals, generated by geostrophic cyclonic circulation, in the structure's center. Reconstructed 3-D fields of density and horizontal velocities are used to estimate the vertical velocity field down to 250 m by applying the adiabatic QG-equation, for the first time in this region. The vertical motions are characterized by multipolar patterns of downward and upward velocities on the edges of the structure and significantly smaller vertical velocities in its center. Both the 3-D distribution of particles (size ≥100 μm), measured with a laser optical plankton counter, and the Synechococcus and Prochlorococcus abundances (cell per cubic meter) measured by flow cytometry are consistent with the 3-D velocity field. In particular, a secondary vertical recirculation is identified that upwells particles (from 250 to 100 m) along isohalines to the structure's center. Besides demonstrating the effect of vertical patterns on biogeochemical distributions, this case study suggests to use particle matter as a tracer to assess physical dynamics."],"format":["application/pdf"],"id":"50|dedup_wf_001::0d16b1714ab3077df73893a8ea57d776","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},"hostedby":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en 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Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Aix Marseille Université (AMU)-Institut de Recherche pour le Développement (IRD)","New York University [Abu Dhabi] ; NYU System (NYU)","Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) ; Muséum National d'Histoire Naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers  (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)","University of Washington [Seattle]","Université Libre de Bruxelles [Bruxelles] (ULB)","ANR-09-CEXC-0006,FOCEA,Excellence pour une synergie observation-modèle et l'évaluation de l'état écologique de la Méditerranée Nord Occidentale(2009)","ANR: 11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011)","ANR: 11-LABX-0061,OTMed,Objectif Terre : Bassin Méditerranéen(2011)","European Project: 624170,EC:FP7:PEOPLE,FP7-PEOPLE-2013-IEF,SEAQUEST(2015)","Institut méditerranéen d'océanologie (MIO) ; Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)","Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) ; Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)","Université libre de Bruxelles (ULB)","Processus et interactions de fine échelle océanique (PROTEO) ; Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) ; Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)","ANR-11-IDEX-0001-02/11-IDEX-0001,AMIDEX,AMIDEX(2011)"],"country":[{"code":"FR","label":"France","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2019-10-11T09:44:42.348Z","description":["International audience; Vertical velocities can be estimated indirectly from in situ observations by theoretical frameworks like the-equation. Direct measures of vertical exchanges are challenging due to their typically ephemeral spatiotemporal scales. In this study we address this problem with an adaptive sampling strategy coupling various biophysical instruments. We analyze the 3-D organization of a cyclonic mesoscale structure finely sampled during the Observing Submesoscale Coupling At High Resolution cruise in the Ligurian Sea during fall 2015. The observations, acquired with a moving vessel profiler, highlight a subsurface low-salinity layer (≃50 m), as well as rising isopycnals, generated by geostrophic cyclonic circulation, in the structure's center. Reconstructed 3-D fields of density and horizontal velocities are used to estimate the vertical velocity field down to 250 m by applying the adiabatic QG-equation, for the first time in this region. The vertical motions are characterized by multipolar patterns of downward and upward velocities on the edges of the structure and significantly smaller vertical velocities in its center. Both the 3-D distribution of particles (size ≥100 μm), measured with a laser optical plankton counter, and the Synechococcus and Prochlorococcus abundances (cell per cubic meter) measured by flow cytometry are consistent with the 3-D velocity field. In particular, a secondary vertical recirculation is identified that upwells particles (from 250 to 100 m) along isohalines to the structure's center. Besides demonstrating the effect of vertical patterns on biogeochemical distributions, this case study suggests to use particle matter as a tracer to assess physical dynamics."],"format":["application/pdf"],"id":"50|dedup_wf_001::0d16b1714ab3077df73893a8ea57d776","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en Ligne"},"hostedby":{"key":"10|opendoar____::7e7757b1e12abcb736ab9a754ffb617a","value":"Hyper Article en 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+{"author":[{"fullname":"Sanda Pletikosic","rank":1},{"fullname":"Mladenka Tkalčić","rank":2}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|opendoar____::2e3d2c4f33a7a1f58bc6c81cacd21e9c","value":"Repository of the University of Rijeka, Faculty of Humanities and Social Sciences"},{"key":"10|opendoar____::1c1d4df596d01da60385f0bb17a4a9e0","value":"HRČAK - Portal of scientific journals of Croatia"},{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"contributor":[],"country":[{"code":"HR","label":"Croatia","provenance":{"provenance":"Propagation of country to result collected from datasources of type institutional repositories","trust":"0.85"}}],"coverage":[],"dateofcollection":"2020-05-09T12:33:14.336Z","description":["Irritable bowel syndrome is regarded as a biopsychosocial disorder, the result of a complex combination of predisposing, precipitating and perpetuating factors. Personality traits, affective status and stress are some of the relevant factors contributing to lower quality of life and symptom exacerbation in IBS patients. In order to examine the role of stress in IBS symptom exacerbation, the aims of this study were to explore the relationship of daily stressful events and symptom severity in a prospective manner and to explore the roles of neuroticism, anxiety, depression and stress in the vicious circle of symptom perpetuation. A total of 49 patients with IBS reported their symptom severity and daily stressful events intensity each day for 14 consecutive days. They also completed the Big five personality inventory, the Beck Depression Inventory and the State-trait anxiety inventory. Cross-correlation analyses were performed on the time series data for daily stress and symptom severity for each participant separately. Four different patterns of relationships were found in different subgroups of participants: positive cross-correlations of symptom severity and stress intensity on the same day; higher symptom severity on days following stressful days; lower symptom severity on days following stressful days; and lower stress intensity on days following severe symptoms. Using average scores for daily stress and symptom severity, as well as scores for neuroticism, anxiety and depression, we performed a path analysis to test a model of symptom exacerbation. It showed that, on the group level, average stress intensity predicts average symptom severity. Neuroticism and anxiety were not significant predictors of symptom severity, while depression showed a marginally significant relationship with symptom severity, mediated by stress intensity. In conclusion, depression and daily stress seem to be important contributors to the vicious circle of IBS symptom perpetuation.","Síndrome del intestino irritable se considera un trastorno biopsicosocial, el resultado de la combinación compleja de factores predisponentes, precipitantes y perpetuos. Rasgos de personalidad, estado afectivo y estrés son algunos de los factores relevantes que contribuyen a la calidad de vida más baja y la exacerbación sintomática de los pacientes con SII. Para examinar el papel del estrés en la exacerbación sintomática de SII, el objetivo de este estudio era explorar la relación entre los acontecimientos cotidianos estresantes y la intensidad de los síntomas de forma prospectiva, tanto como explorar los papeles del neuroticismo, ansiedad, depresión y estrés en el círculo vicioso de perpetuación de los síntomas. Todos los 49 pacientes con SII informaron sobre la intensidad de los síntomas y la intensidad de los acontecimientos cotidianos estresantes cada día durante 14 días consecutivos. Además, completaron el Test de personalidad de los cinco grandes, Inventario de depresión de Beck e Inventario de ansiedad estado-rasgo. En los datos de series temporales se hizo el análisis de correlación cruzada para la intensidad del estrés diario y de los síntomas para cada participante por separado. Se encontraron cuatro patrones de relación diferentes en diferentes subgrupos de participantes: correlación cruzada positiva de la intensidad de los síntomas y del estrés el mismo día; intensidad de los síntomas más alta en los días después de los días estresantes; intensidad de los síntomas más baja en los días después de los días estresantes e intensidad del estrés más baja en los días después de los síntomas graves. Usando resultados promedios para el estrés diario y la intensidad de los síntomas, tanto como resultados para el neuroticismo, ansiedad y depresión, realizamos un análisis del camino para examinar el modelo de la exacerbación de los síntomas. Mostró que, al nivel de grupo, la intensidad del estrés promedia predice la intensidad de los síntomas promedia. Neuroticismo y ansiedad no eran predictores significativos de la intensidad de los síntomas, mientras que la depresión demostró una relación marginalmente significante con la intensidad de los síntomas, mediada por la intensidad del estrés. En conclusión, la depresión y el estrés diario parecen ser contribuidores importantes al círculo vicioso de la perpetuación de los síntomas SII."],"format":["application/pdf"],"id":"50|dedup_wf_001::054ea3bc3ccc386d150d900776e1070d","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::2e3d2c4f33a7a1f58bc6c81cacd21e9c","value":"Repository of the University of Rijeka, Faculty of Humanities and Social Sciences"},"hostedby":{"key":"10|opendoar____::2e3d2c4f33a7a1f58bc6c81cacd21e9c","value":"Repository of the University of Rijeka, Faculty of Humanities and Social Sciences"},"license":"http://creativecommons.org/licenses/by/4.0/","publicationdate":"2016-04-01","refereed":"UNKNOWN","type":"Article","url":["https://repository.ffri.uniri.hr/islandora/object/ffri:1182","https://urn.nsk.hr/urn:nbn:hr:186:701987","https://repository.ffri.uniri.hr/islandora/object/ffri:1182/datastream/FILE0"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::1c1d4df596d01da60385f0bb17a4a9e0","value":"HRČAK - Portal of scientific journals of Croatia"},"hostedby":{"key":"10|opendoar____::1c1d4df596d01da60385f0bb17a4a9e0","value":"HRČAK - Portal of scientific journals of Croatia"},"publicationdate":"2016-01-01","refereed":"UNKNOWN","type":"Other literature type","url":["https://hrcak.srce.hr/156331","https://hrcak.srce.hr/file/230444"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"},"hostedby":{"key":"10|doajarticles::23738aeeb586d9f9b652c75aaff54dd4","value":"Psychological Topics"},"publicationdate":"2016-04-01","refereed":"UNKNOWN","type":"Article","url":["http://pt.ffri.hr/index.php/pt/article/view/317","https://doaj.org/toc/1332-0742"]}],"language":{"code":"eng","label":"English"},"lastupdatetimestamp":1603727328518,"maintitle":"The role of stress in IBS symptom severity","originalId":["oai:repository.ffri.uniri.hr:ffri_1182","oai:hrcak.srce.hr:156331","oai:doaj.org/article:4394c5a4f62849ffac7ea485a91540a3"],"pid":[],"projects":[{"code":"009-0092660-2655","funder":{"jurisdiction":"HR","name":"Ministry of Science, Education and Sports of the Republic of Croatia (MSES)","shortName":"MZOS"},"id":"40|irb_hr______::ad496254144c27606e4058841e060fa0","provenance":{"provenance":"Harvested","trust":"0.900000000000000022"},"title":"Psychosomatic aspects of chronic functional and inflammatory bowel diseases"}],"publicationdate":"2016-04-01","subjects":[{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"irritable bowel syndrome"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"symptom severity"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"daily stress"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"depression"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"DRUŠTVENE ZNANOSTI. Psihologija."}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"keyword","value":"SOCIAL SCIENCES. Psychology."}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"irritable bowel syndrome; symptom severity; daily stress; depression"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"síndrome del intestino irritable; intensidad de los síntomas; estrés diario; depresión"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"Psychology"}},{"provenance":{"provenance":"Harvested","trust":"0.9"},"subject":{"scheme":"UNKNOWN","value":"BF1-990"}},{"provenance":{"provenance":"Inferred by OpenAIRE","trust":"0.7632"},"subject":{"scheme":"mesheuropmc","value":"macromolecular substances"}}],"type":"publication"}
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index 3ed91f4513..f886784376 100644
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