Merge pull request 'FOS' (#175) from FOS into beta

Reviewed-on: #175
This commit is contained in:
Miriam Baglioni 2021-12-23 09:06:56 +01:00
commit bf3a9505e0
12 changed files with 333 additions and 216 deletions

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@ -1,5 +1,5 @@
package eu.dnetlib.dhp.actionmanager.bipmodel;
package eu.dnetlib.dhp.actionmanager;
import java.util.Optional;
@ -11,6 +11,9 @@ import org.apache.spark.sql.SparkSession;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
public class Constants {
@ -46,4 +49,36 @@ public class Constants {
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
public static StructuredProperty getSubject(String sbj, String classid, String classname) {
if (sbj.equals(NULL))
return null;
StructuredProperty sp = new StructuredProperty();
sp.setValue(sbj);
sp
.setQualifier(
OafMapperUtils
.qualifier(
classid,
classname,
ModelConstants.DNET_SUBJECT_TYPOLOGIES,
ModelConstants.DNET_SUBJECT_TYPOLOGIES));
sp
.setDataInfo(
OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_SUBJECT_FOS_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
""));
return sp;
}
}

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@ -1,7 +1,7 @@
package eu.dnetlib.dhp.actionmanager.bipfinder;
import static eu.dnetlib.dhp.actionmanager.bipmodel.Constants.*;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;

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@ -21,7 +21,7 @@ public class GetFOSData implements Serializable {
private static final Logger log = LoggerFactory.getLogger(GetFOSData.class);
public static final char DEFAULT_DELIMITER = '\t';
public static final char DEFAULT_DELIMITER = ',';
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(

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@ -1,8 +1,8 @@
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
import static eu.dnetlib.dhp.actionmanager.bipmodel.Constants.*;
import static eu.dnetlib.dhp.actionmanager.bipmodel.Constants.UPDATE_CLASS_NAME;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.actionmanager.Constants.UPDATE_CLASS_NAME;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;

View File

@ -1,7 +1,7 @@
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
import static eu.dnetlib.dhp.actionmanager.bipmodel.Constants.*;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
@ -10,8 +10,8 @@ import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
@ -21,10 +21,8 @@ import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
public class PrepareFOSSparkJob implements Serializable {
@ -67,20 +65,22 @@ public class PrepareFOSSparkJob implements Serializable {
private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
fosDataset.flatMap((FlatMapFunction<FOSDataModel, FOSDataModel>) v -> {
List<FOSDataModel> fosList = new ArrayList<>();
final String level1 = v.getLevel1();
final String level2 = v.getLevel2();
final String level3 = v.getLevel3();
Arrays
.stream(v.getDoi().split("\u0002"))
.forEach(d -> fosList.add(FOSDataModel.newInstance(d, level1, level2, level3)));
return fosList.iterator();
}, Encoders.bean(FOSDataModel.class))
.map((MapFunction<FOSDataModel, Result>) value -> {
fosDataset
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getDoi(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, FOSDataModel, Result>) (k, it) -> {
Result r = new Result();
r.setId(DHPUtils.generateUnresolvedIdentifier(value.getDoi(), DOI));
r.setSubject(getSubjects(value));
FOSDataModel first = it.next();
r.setId(DHPUtils.generateUnresolvedIdentifier(first.getDoi(), DOI));
HashSet<String> level1 = new HashSet<>();
HashSet<String> level2 = new HashSet<>();
HashSet<String> level3 = new HashSet<>();
addLevels(level1, level2, level3, first);
it.forEachRemaining(v -> addLevels(level1, level2, level3, v));
List<StructuredProperty> sbjs = new ArrayList<>();
level1.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME)));
level2.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME)));
level3.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME)));
r.setSubject(sbjs);
return r;
}, Encoders.bean(Result.class))
.write()
@ -89,45 +89,11 @@ public class PrepareFOSSparkJob implements Serializable {
.json(outputPath + "/fos");
}
private static List<StructuredProperty> getSubjects(FOSDataModel fos) {
return Arrays
.asList(getSubject(fos.getLevel1()), getSubject(fos.getLevel2()), getSubject(fos.getLevel3()))
.stream()
.filter(Objects::nonNull)
.collect(Collectors.toList());
}
private static StructuredProperty getSubject(String sbj) {
if (sbj.equals(NULL))
return null;
StructuredProperty sp = new StructuredProperty();
sp.setValue(sbj);
sp
.setQualifier(
OafMapperUtils
.qualifier(
FOS_CLASS_ID,
FOS_CLASS_NAME,
ModelConstants.DNET_SUBJECT_TYPOLOGIES,
ModelConstants.DNET_SUBJECT_TYPOLOGIES));
sp
.setDataInfo(
OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_SUBJECT_FOS_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
""));
return sp;
private static void addLevels(HashSet<String> level1, HashSet<String> level2, HashSet<String> level3,
FOSDataModel first) {
level1.add(first.getLevel1());
level2.add(first.getLevel2());
level3.add(first.getLevel3());
}
}

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@ -1,7 +1,7 @@
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
import static eu.dnetlib.dhp.actionmanager.bipmodel.Constants.*;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;

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@ -6,19 +6,19 @@ import java.io.Serializable;
import com.opencsv.bean.CsvBindByPosition;
public class FOSDataModel implements Serializable {
@CsvBindByPosition(position = 1)
@CsvBindByPosition(position = 0)
// @CsvBindByName(column = "doi")
private String doi;
@CsvBindByPosition(position = 2)
@CsvBindByPosition(position = 1)
// @CsvBindByName(column = "level1")
private String level1;
@CsvBindByPosition(position = 3)
@CsvBindByPosition(position = 2)
// @CsvBindByName(column = "level2")
private String level2;
@CsvBindByPosition(position = 4)
@CsvBindByPosition(position = 3)
// @CsvBindByName(column = "level3")
private String level3;

View File

@ -155,14 +155,14 @@ public class PrepareTest {
void getFOSFileTest() throws IOException, ClassNotFoundException {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/h2020_fos_sbs.csv")
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs.csv")
.getPath();
final String outputPath = workingDir.toString() + "/fos.json";
new GetFOSData()
.doRewrite(
sourcePath, outputPath, "eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel",
'\t', fs);
',', fs);
BufferedReader in = new BufferedReader(
new InputStreamReader(fs.open(new org.apache.hadoop.fs.Path(outputPath))));
@ -176,7 +176,7 @@ public class PrepareTest {
count += 1;
}
assertEquals(38, count);
assertEquals(39, count);
}

View File

@ -67,72 +67,12 @@ public class ProduceTest {
}
@Test
void produceTest() throws Exception {
void produceTestSubjects() throws Exception {
final String bipPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
.getPath();
PrepareBipFinder
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", bipPath,
"--outputPath", workingDir.toString() + "/work"
});
final String fosPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", fosPath,
"-outputPath", workingDir.toString() + "/work"
});
SparkSaveUnresolved.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", workingDir.toString() + "/work",
"-outputPath", workingDir.toString() + "/unresolved"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/unresolved")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
Assertions.assertEquals(135, tmp.count());
Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi")).count());
Assertions
.assertEquals(
3, tmp
.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertEquals(
3, tmp
.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
.collect()
.get(0)
.getInstance()
.get(0)
.getMeasures()
.size());
JavaRDD<Result> tmp = getResultJavaRDD();
List<StructuredProperty> sbjs = tmp
.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
.filter(row -> row.getSubject() != null && row.getSubject().size() > 0)
.flatMap(row -> row.getSubject().iterator())
.collect();
@ -174,13 +114,100 @@ public class ProduceTest {
.assertEquals(
ModelConstants.DNET_PROVENANCE_ACTIONS,
sbj.getDataInfo().getProvenanceaction().getSchemename()));
}
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("engineering and technology"));
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nano-technology"));
sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("nanoscience & nanotechnology"));
@Test
void produceTestMeasuress() throws Exception {
JavaRDD<Result> tmp = getResultJavaRDD();
List<KeyValue> mes = tmp
.filter(row -> row.getInstance() != null && row.getInstance().size() > 0)
.flatMap(row -> row.getInstance().iterator())
.flatMap(i -> i.getMeasures().iterator())
.flatMap(m -> m.getUnit().iterator())
.collect();
mes.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getDeletedbyinference()));
mes.forEach(sbj -> Assertions.assertEquals(true, sbj.getDataInfo().getInferred()));
mes.forEach(sbj -> Assertions.assertEquals(false, sbj.getDataInfo().getInvisible()));
mes.forEach(sbj -> Assertions.assertEquals("", sbj.getDataInfo().getTrust()));
mes.forEach(sbj -> Assertions.assertEquals("update", sbj.getDataInfo().getInferenceprovenance()));
mes
.forEach(
sbj -> Assertions.assertEquals("measure:bip", sbj.getDataInfo().getProvenanceaction().getClassid()));
mes
.forEach(
sbj -> Assertions
.assertEquals("Inferred by OpenAIRE", sbj.getDataInfo().getProvenanceaction().getClassname()));
mes
.forEach(
sbj -> Assertions
.assertEquals(
ModelConstants.DNET_PROVENANCE_ACTIONS, sbj.getDataInfo().getProvenanceaction().getSchemeid()));
mes
.forEach(
sbj -> Assertions
.assertEquals(
ModelConstants.DNET_PROVENANCE_ACTIONS,
sbj.getDataInfo().getProvenanceaction().getSchemename()));
}
@Test
void produceTest6Subjects() throws Exception {
final String doi = "unresolved::10.3390/s18072310::doi";
JavaRDD<Result> tmp = getResultJavaRDD();
Assertions
.assertEquals(
6, tmp
.filter(row -> row.getId().equals(doi))
.collect()
.get(0)
.getSubject()
.size());
List<StructuredProperty> sbjs = tmp
.filter(row -> row.getId().equals(doi))
.flatMap(row -> row.getSubject().iterator())
.collect();
Assertions
.assertEquals(
true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("04 agricultural and veterinary sciences")));
Assertions
.assertEquals(
true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0404 agricultural biotechnology")));
Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("040502 food science")));
Assertions
.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("03 medical and health sciences")));
Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0303 health sciences")));
Assertions
.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("030309 nutrition & dietetics")));
}
@Test
void produceTest3Measures() throws Exception {
final String doi = "unresolved::10.3390/s18072310::doi";
JavaRDD<Result> tmp = getResultJavaRDD();
Assertions
.assertEquals(
3, tmp
.filter(row -> row.getId().equals(doi))
.collect()
.get(0)
.getInstance()
.get(0)
.getMeasures()
.size());
List<Measure> measures = tmp
.filter(row -> row.getId().equals("unresolved::10.3390/s18072310::doi"))
.filter(row -> row.getId().equals(doi))
.flatMap(row -> row.getInstance().iterator())
.flatMap(inst -> inst.getMeasures().iterator())
.collect();
@ -217,10 +244,22 @@ public class ProduceTest {
.get(0)
.getValue());
}
@Test
void produceTestSomeNumbers() throws Exception {
final String doi = "unresolved::10.3390/s18072310::doi";
JavaRDD<Result> tmp = getResultJavaRDD();
Assertions.assertEquals(105, tmp.count());
Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
Assertions
.assertEquals(
49, tmp
.filter(row -> !row.getId().equals("unresolved::10.3390/s18072310::doi"))
19, tmp
.filter(row -> !row.getId().equals(doi))
.filter(row -> row.getSubject() != null)
.count());
@ -228,10 +267,85 @@ public class ProduceTest {
.assertEquals(
85,
tmp
.filter(row -> !row.getId().equals("unresolved::10.3390/s18072310::doi"))
.filter(r -> r.getInstance() != null)
.filter(row -> !row.getId().equals(doi))
.filter(r -> r.getInstance() != null && r.getInstance().size() > 0)
.count());
}
private JavaRDD<Result> getResultJavaRDD() throws Exception {
final String bipPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
.getPath();
PrepareBipFinder
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", bipPath,
"--outputPath", workingDir.toString() + "/work"
});
final String fosPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", fosPath,
"-outputPath", workingDir.toString() + "/work"
});
SparkSaveUnresolved.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", workingDir.toString() + "/work",
"-outputPath", workingDir.toString() + "/unresolved"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
return sc
.textFile(workingDir.toString() + "/unresolved")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
}
@Test
void prepareTest5Subjects() throws Exception {
final String doi = "unresolved::10.1063/5.0032658::doi";
JavaRDD<Result> tmp = getResultJavaRDD();
Assertions.assertEquals(1, tmp.filter(row -> row.getId().equals(doi)).count());
Assertions
.assertEquals(
5, tmp
.filter(row -> row.getId().equals(doi))
.collect()
.get(0)
.getSubject()
.size());
List<StructuredProperty> sbjs = tmp
.filter(row -> row.getId().equals(doi))
.flatMap(row -> row.getSubject().iterator())
.collect();
Assertions
.assertEquals(
true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("01 natural sciences")));
Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0103 physical sciences")));
Assertions
.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("010304 chemical physics")));
Assertions.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("0104 chemical sciences")));
Assertions
.assertEquals(true, sbjs.stream().anyMatch(sbj -> sbj.getValue().equals("010402 general chemistry")));
}
}

View File

@ -1,38 +1,39 @@
{"doi":"10.3390/s18072310","level1":"engineering and technology","level2":"nano-technology","level3":"nanoscience & nanotechnology"}
{"doi":"10.1111/1365-2656.12831\u000210.17863/cam.24369","level1":"social sciences","level2":"psychology and cognitive sciences","level3":"NULL"}
{"doi":"10.3929/ethz-b-000187584\u000210.1002/chem.201701644","level1":"natural sciences","level2":"NULL","level3":"NULL"}
{"doi":"10.1080/01913123.2017.1367361","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
{"doi":"10.1051/e3sconf/20199207011","level1":"natural sciences","level2":"earth and related environmental sciences","level3":"environmental sciences"}
{"doi":"10.1038/onc.2015.333","level1":"medical and health sciences","level2":"clinical medicine","level3":"oncology & carcinogenesis"}
{"doi":"10.1093/mnras/staa256","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
{"doi":"10.1016/j.jclepro.2018.07.166","level1":"engineering and technology","level2":"other engineering and technologies","level3":"building & construction"}
{"doi":"10.1103/physrevlett.125.037403","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
{"doi":"10.1080/03602532.2017.1316285","level1":"natural sciences","level2":"NULL","level3":"NULL"}
{"doi":"10.1001/jamanetworkopen.2019.1868","level1":"medical and health sciences","level2":"other medical science","level3":"health policy & services"}
{"doi":"10.1128/mra.00874-18","level1":"natural sciences","level2":"biological sciences","level3":"plant biology & botany"}
{"doi":"10.1016/j.nancom.2018.03.001","level1":"engineering and technology","level2":"NULL","level3":"NULL"}
{"doi":"10.1112/topo.12174","level1":"natural sciences","level2":"NULL","level3":"NULL"}
{"doi":"10.12688/wellcomeopenres.15846.1","level1":"medical and health sciences","level2":"health sciences","level3":"NULL"}
{"doi":"10.21468/scipostphys.3.1.001","level1":"natural sciences","level2":"physical sciences","level3":"NULL"}
{"doi":"10.1088/1741-4326/ab6c77","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
{"doi":"10.1109/tpwrs.2019.2944747","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"electrical & electronic engineering"}
{"doi":"10.1016/j.expthermflusci.2019.109994\u000210.17863/cam.46212","level1":"engineering and technology","level2":"mechanical engineering","level3":"mechanical engineering & transports"}
{"doi":"10.1109/tc.2018.2860012","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"computer hardware & architecture"}
{"doi":"10.1002/mma.6622","level1":"natural sciences","level2":"mathematics","level3":"numerical & computational mathematics"}
{"doi":"10.1051/radiopro/2020020","level1":"natural sciences","level2":"chemical sciences","level3":"NULL"}
{"doi":"10.1007/s12268-019-1003-4","level1":"medical and health sciences","level2":"basic medicine","level3":"NULL"}
{"doi":"10.3390/cancers12010236","level1":"medical and health sciences","level2":"health sciences","level3":"biochemistry & molecular biology"}
{"doi":"10.6084/m9.figshare.9912614\u000210.6084/m9.figshare.9912614.v1\u000210.1080/00268976.2019.1665199","level1":"natural sciences","level2":"chemical sciences","level3":"physical chemistry"}
{"doi":"10.1175/jpo-d-17-0239.1","level1":"natural sciences","level2":"biological sciences","level3":"marine biology & hydrobiology"}
{"doi":"10.1007/s13218-020-00674-7","level1":"engineering and technology","level2":"industrial biotechnology","level3":"industrial engineering & automation"}
{"doi":"10.1016/j.psyneuen.2016.02.003\u000210.1016/j.psyneuen.2016.02.00310.7892/boris.78886\u000210.7892/boris.78886","level1":"medical and health sciences","level2":"basic medicine","level3":"NULL"}
{"doi":"10.1109/ted.2018.2813542","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"electrical & electronic engineering"}
{"doi":"10.3989/scimar.04739.25a","level1":"natural sciences","level2":"biological sciences","level3":"NULL"}
{"doi":"10.3390/su12187503","level1":"natural sciences","level2":"earth and related environmental sciences","level3":"NULL"}
{"doi":"10.1016/j.ccell.2018.08.017","level1":"medical and health sciences","level2":"basic medicine","level3":"biochemistry & molecular biology"}
{"doi":"10.1103/physrevresearch.2.023322","level1":"natural sciences","level2":"physical sciences","level3":"nuclear & particles physics"}
{"doi":"10.1039/c8cp03234c","level1":"natural sciences","level2":"NULL","level3":"NULL"}
{"doi":"10.5281/zenodo.3696557\u000210.5281/zenodo.3696556\u000210.1109/jsac.2016.2545384","level1":"engineering and technology","level2":"electrical engineering, electronic engineering, information engineering","level3":"networking & telecommunications"}
{"doi":"10.1038/ng.3667\u000210.1038/ng.3667.\u000210.17615/tct6-4m26\u000210.17863/cam.15649","level1":"medical and health sciences","level2":"health sciences","level3":"genetics & heredity"}
{"doi":"10.1016/j.jclepro.2019.119065","level1":"engineering and technology","level2":"other engineering and technologies","level3":"building & construction"}
{"doi":"10.1111/pce.13392","level1":"agricultural and veterinary sciences","level2":"agriculture, forestry, and fisheries","level3":"agronomy & agriculture"}
{"doi":"10.1080/1536383x.2020.1868997","level1":"02 engineering and technology","level2":"0210 nano-technology","level3":"021001 nanoscience & nanotechnology"}
{"doi":"10.1080/1536383x.2020.1868997","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010402 general chemistry"}
{"doi":"10.1186/s40425-019-0732-8","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis"}
{"doi":"10.1186/s40425-019-0732-8","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030304 developmental biology"}
{"doi":"10.1007/s10482-021-01529-3","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030304 developmental biology"}
{"doi":"10.1007/s10482-021-01529-3","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030306 microbiology"}
{"doi":"10.1155/2021/6643273","level1":"01 natural sciences","level2":"0103 physical sciences","level3":"010301 acoustics"}
{"doi":"10.1155/2021/6643273","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation"}
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