diff --git a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
index 1645e2b109e5533191e286b2cecb4f14ffc57f15..5ae293d408b93c4da883206a8c8a952f5dca26cc 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,10 +1,10 @@
 client,count,name,year,url
-cern.zenodo,744,Zenodo,2013,https://zenodo.org/
+cern.zenodo,749,Zenodo,2013,https://zenodo.org/
 inist.sshade,479,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
-figshare.ars,261,figshare Academic Research System,2016,http://figshare.com/
+figshare.ars,352,figshare Academic Research System,2016,http://figshare.com/
 inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
 dryad.dryad,162,DRYAD,2018,https://datadryad.org
-inist.resif,91,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
+inist.resif,92,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
 inist.humanum,58,NAKALA,2020,https://nakala.fr
 rdg.prod,57,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.persyval,56,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
@@ -16,21 +16,23 @@ tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
 tib.repod,3,RepOD,2015,https://repod.icm.edu.pl/
 vqpf.dris,3,Direction des ressources et de l'information scientifique,2021,
 ugraz.unipub,2,unipub,2019,http://unipub.uni-graz.at
+ethz.sed,2,"Swiss Seismological Service, national earthquake monitoring and hazard center",2013,http://www.seismo.ethz.ch
+cnic.sciencedb,2,ScienceDB,2022,https://www.scidb.cn/en
 bl.nerc,2,NERC Environmental Data Service,2011,https://eds.ukri.org
 tug.openlib,1,TU Graz OPEN Library,2020,https://openlib.tugraz.at/
+inist.ird,1,IRD,2016,
+estdoi.ttu,1,TalTech,2019,https://digikogu.taltech.ee
 crui.ingv,1,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2013,http://data.ingv.it/
 repod.dbuw,1,University of Warsaw Research Data Repository,2023,https://danebadawcze.uw.edu.pl/
-estdoi.ttu,1,TalTech,2019,https://digikogu.taltech.ee
-inist.ird,1,IRD,2016,
-inist.eost,1,Ecole et Observatoire des Sciences de la Terre,2017,https://eost.unistra.fr/en/
-ethz.zora,1,"Universität Zürich, ZORA",2013,https://www.zora.uzh.ch/
 inist.opgc,1,Observatoire de Physique du Globe de Clermont-Ferrand,2017,
 ethz.da-rd,1,ETHZ Data Archive - Research Data,2013,http://data-archive.ethz.ch
-bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
+inist.eost,1,Ecole et Observatoire des Sciences de la Terre,2017,https://eost.unistra.fr/en/
+ethz.zora,1,"Universität Zürich, ZORA",2013,https://www.zora.uzh.ch/
 ihumi.pub,1,IHU Méditerranée Infection,2020,
+bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
 inist.omp,1,Observatoire Midi-Pyrénées,2011,
 ardcx.nci,1,National Computational Infrastructure,2020,
-tib.gfz,1,GFZ Data Services,2011,https://dataservices.gfz-potsdam.de/portal/
 bl.iita,1,International Institute of Tropical Agriculture datasets,2017,http://data.iita.org/
-edi.edi,1,Environmental Data Initiative,2017,https://portal.edirepository.org/nis/home.jsp
+tib.gfz,1,GFZ Data Services,2011,https://dataservices.gfz-potsdam.de/portal/
 umass.uma,1,University of Massachusetts (UMass) Amherst,2018,https://scholarworks.umass.edu/
+edi.edi,1,Environmental Data Initiative,2017,https://portal.edirepository.org/nis/home.jsp
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index ee99c5c77321869efa58e4386553b7e1e9513fbb..896f46ec43a6da68f355c223f0d72ed1e12dbf21 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2227
\ No newline at end of file
+2328
\ No newline at end of file
diff --git a/2-produce-graph/hist-evol-datasets-per-repo.png b/2-produce-graph/hist-evol-datasets-per-repo.png
index d1bbe1ed8f8480f86a24c4595a6bf63780d3957e..d8f458df2c59c9efd786277ad813bb37c8a19fa3 100644
Binary files a/2-produce-graph/hist-evol-datasets-per-repo.png and b/2-produce-graph/hist-evol-datasets-per-repo.png differ
diff --git a/2-produce-graph/hist-last-datasets-by-client.png b/2-produce-graph/hist-last-datasets-by-client.png
index 1e2489499d4c9fe93671b650dd92c8025e4f4ca4..f4ab7694a43d32df38f373a386159730ed7aee25 100644
Binary files a/2-produce-graph/hist-last-datasets-by-client.png and b/2-produce-graph/hist-last-datasets-by-client.png differ
diff --git a/2-produce-graph/hist-quantity-year-type.png b/2-produce-graph/hist-quantity-year-type.png
index 69ab3dc020031ddf6d9c492beb6d3cfc681a62b1..aa168d6db6a50509396a49e52bf351b0dba9937d 100644
Binary files a/2-produce-graph/hist-quantity-year-type.png and b/2-produce-graph/hist-quantity-year-type.png differ
diff --git a/2-produce-graph/pie--datacite-client.png b/2-produce-graph/pie--datacite-client.png
index d71162e34fe665bd400be588b5bb37f2bd3476b0..1ab24bed5d75290b7f0ce429184a0052cb0f3fbf 100644
Binary files a/2-produce-graph/pie--datacite-client.png and b/2-produce-graph/pie--datacite-client.png differ
diff --git a/2-produce-graph/pie--datacite-type.png b/2-produce-graph/pie--datacite-type.png
index 90a87da4bf79754177805f3c749e45bf9aeb0c5e..3aef685f8e38f5903aa12c8564a1bacec1ded1ce 100644
Binary files a/2-produce-graph/pie--datacite-type.png and b/2-produce-graph/pie--datacite-type.png differ
diff --git a/dois-uga.csv b/dois-uga.csv
index 910118bcdcd980399001f0de99cbf63c9f73517a..5f1d75a3d87c587fbad76b8e6c502094e2441328 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -10274,3 +10274,157 @@ Two studies of two-dimensional models of flows influenced by stratification and
  observations per year, when long term studies with Landsat observations
  are undertaken.",mds,True,findable,0,0,0,2,0,2024-08-08T07:38:13.000Z,2024-08-08T07:38:14.000Z,dryad.dryad,dryad,"Landsat,greening,Bias,Tundra,alpine,observations,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Landsat'}, {'subject': 'greening'}, {'subject': 'Bias'}, {'subject': 'Tundra', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'alpine'}, {'subject': 'observations'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['3185889071 bytes'],,,,"['IsCitedBy', 'IsCitedBy']",
 10.6084/m9.figshare.26531028,Additional file 1 of Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,75,0,0,2024-08-10T03:40:07.000Z,2024-08-10T03:40:08.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",['2445850 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26585832,Additional file 4 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 4: Table S3. Delphi round III results.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:32.000Z,2024-08-13T15:17:32.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['200785 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26664607,Additional file 4 of Bone marrow graft versus peripheral blood graft in haploidentical hematopoietic stem cells transplantation: a retrospective analysis in1344 patients of SFGM-TC registry,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Supplementary figures.,mds,True,findable,0,0,0,0,0,2024-08-14T17:32:47.000Z,2024-08-14T17:32:47.000Z,figshare.ars,otjm,"Cell Biology,Molecular Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Cell Biology'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",['13394 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26713777,Additional file 2 of Plasma ALS and Gal-3BP differentiate early from advanced liver fibrosis in MASLD patients,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 2.,mds,True,findable,0,0,0,0,0,2024-08-15T08:19:50.000Z,2024-08-15T08:19:50.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Cancer,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['553168 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26648475,Additional file 2 of Dysnatremia at ICU admission and functional outcome of cardiac arrest: insights from four randomised controlled trials,figshare,2024,,Audiovisual,Creative Commons Attribution 4.0 International,Additional file 2: eFigure 1. Receiver operating characteristic curve for the modified Cardiac Arrest Hospital Prognosis score as a predictor of a favourable functional outcome (Cerebral Performance Category 1 or 2 on day 180).,mds,True,findable,0,0,0,0,0,2024-08-14T09:00:23.000Z,2024-08-14T09:00:24.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Information Systems not elsewhere classified,Cancer,Mental Health,Virology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",['150664 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26648475']]"
+10.6084/m9.figshare.c.6914121,Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The comorbidity burden has a negative impact on lung-cancer survival. Several comorbidity scores have been described and are currently used. The current challenge is to select the comorbidity score that best reflects their impact on survival. Here, we compared seven usable comorbidity scores (Charlson Comorbidity Index, Age adjusted Charlson Comorbidity Index, Charlson Comorbidity Index adapted to lung cancer, National Cancer Institute combined index, National Cancer Institute combined index adapted to lung cancer, Elixhauser score, and Elixhauser adapted to lung cancer) with coded administrative data according to the tenth revision of the International Statistical Classification of Diseases and Related Health Problems to select the best prognostic index for predicting four-month survival. Materials and methods This cohort included every patient with a diagnosis of lung cancer hospitalized for the first time in the thoracic oncology unit of our institution between 2011 and 2015. The seven scores were calculated and used in a Cox regression method to model their association with four-month survival. Then, parameters to compare the relative goodness-of-fit among different models (Akaike Information Criteria, Bayesian Information Criteria), and discrimination parameters (the C-statistic and Harrell’s c-statistic) were calculated. A sensitivity analysis of these parameters was finally performed using a bootstrap method based on 1,000 samples. Results In total, 633 patients were included. Male sex, histological type, metastatic status, CCI, CCI-lung, Elixhauser score, and Elixhauser-lung were associated with poorer four-month survival. The Elixhauser score had the lowest AIC and BIC and the highest c-statistic and Harrell’s c-statistic. These results were confirmed in the sensitivity analysis, in which these discrimination parameters for the Elixhauser score were significantly different from the other scores. Conclusions Based on this cohort, the Elixhauser score is the best prognostic comorbidity score for predicting four-month survival for hospitalized lung cancer patients.",mds,True,findable,0,0,0,0,0,2024-08-14T05:18:59.000Z,2024-08-14T05:19:00.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,,,,,
+10.6084/m9.figshare.26633925,"Additional file 1 of Mortality, incidence, and microbiological documentation of ventilated acquired pneumonia (VAP) in critically ill patients with COVID-19 or influenza",figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Table S1. Microbiological characteristics of early and late VAP in patients with COVID and influenza. Table S2. Comparison between Influenza and COVID patients depending on the occurrence of the first episode of VAP. Table S3. Risk factors of day-60 mortality in the whole cohort—Univariate analyses—Survival Cox models. Table S4. Association between VAP and day-60 mortality—multivariate survival Cox models. Table S5. Factors associated with day-60 death, multivariate cox model, section of the covariates with DAG. Figure S1. Directed Acyclic Graph—A Unadjusted and B adjusted",mds,True,findable,0,0,54,0,0,2024-08-14T04:51:13.000Z,2024-08-14T04:51:14.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['557382 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26691916,Additional file 1 of An efficient protocol for extracting thylakoid membranes and total leaf proteins from Posidonia oceanica and other polyphenol-rich plants,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Additional file 1. Data set 1: Leaf chlorophyll and polyphenols content determination. Summary table data set 1: Summary of computed and normalized data from data set 1. Data Set 2 : Determination of the yield of extracted thylakoids chlorophyll.,mds,True,findable,0,0,0,0,0,2024-08-15T01:44:31.000Z,2024-08-15T01:44:32.000Z,figshare.ars,otjm,"Plant Biology,FOS: Biological sciences","[{'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['37228 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26691916']]"
+10.12686/eshm20-output,The 2020 Update of the European Seismic Hazard Model (ESHM20): Output Datasets,EFEHR (European Facilities of Earthquake Hazard and Risk),2021,en,Dataset,Creative Commons Attribution 4.0 International,"ESHM20 results are distributed online via the EFEHR hazard web platform (hazard.efehr.org). 
+The main results are: hazard maps,hazard curves,uniform hazard spectra and disaggregation of ground shaking hazard levels 
+The following services are available for displaying and accessing these results:
+
+- Hazard Maps (OGC compliant for WMS)
+- Hazard Curves (RESTful API service)
+- Uniform Hazard Spectra (RESTful API service)",fabricaForm,True,findable,0,0,0,0,0,2024-08-12T14:00:35.000Z,2024-08-13T07:48:08.000Z,ethz.sed,stdp,"2020 European Seismic Hazard Model (ESHM20),FOS: Natural sciences,Probabilistic Seismic Hazard Models,Ground Shaking Hazard Maps,Uniform Hazard Spectra,Ground Shaking Hazard Curves,European Facilities of Earthquake Hazard and Risk","[{'subject': '2020 European Seismic Hazard Model (ESHM20)'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)', 'classificationCode': '1'}, {'subject': 'Probabilistic Seismic Hazard Models'}, {'subject': 'Ground Shaking Hazard Maps'}, {'subject': 'Uniform Hazard Spectra'}, {'subject': 'Ground Shaking Hazard Curves'}, {'subject': 'European Facilities of Earthquake Hazard and Risk'}]",['529MB'],"['application/gml+xml', 'application/geo+json', 'application/xml']",,,['IsDocumentedBy'],
+10.6084/m9.figshare.c.6905671,"Mortality, incidence, and microbiological documentation of ventilated acquired pneumonia (VAP) in critically ill patients with COVID-19 or influenza",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Data on ventilator associated pneumonia (VAP) in COVID-19 and influenza patients admitted to intensive care units (ICU) are scarce. This study aimed to estimate day-60 mortality related to VAP in ICU patients ventilated for at least 48 h, either for COVID-19 or for influenza, and to describe the epidemiological characteristics in each group of VAP. Design Multicentre retrospective observational study. Setting Eleven ICUs of the French OutcomeRea™ network. Patients Patients treated with invasive mechanical ventilation (IMV) for at least 48 h for either COVID-19 or for flu. Results Of the 585 patients included, 503 had COVID-19 and 82 had influenza between January 2008 and June 2021. A total of 232 patients, 209 (41.6%) with COVID-19 and 23 (28%) with influenza, developed 375 VAP episodes. Among the COVID-19 and flu patients, VAP incidences for the first VAP episode were, respectively, 99.2 and 56.4 per 1000 IMV days (p < 0.01), and incidences for all VAP episodes were 32.8 and 17.8 per 1000 IMV days (p < 0.01). Microorganisms of VAP were Gram-positive cocci in 29.6% and 23.5% of episodes of VAP (p < 0.01), respectively, including Staphylococcus aureus in 19.9% and 11.8% (p = 0.25), and Gram-negative bacilli in 84.2% and 79.4% (p = 0.47). In the overall cohort, VAP was associated with an increased risk of day-60 mortality (aHR = 1.77 [1.36; 2.30], p < 0.01), and COVID-19 had a higher mortality risk than influenza (aHR = 2.22 [CI 95%, 1.34; 3.66], p < 0.01). VAP was associated with increased day-60 mortality among COVID-19 patients (aHR = 1.75 [CI 95%, 1.32; 2.33], p < 0.01), but not among influenza patients (aHR = 1.75 [CI 95%, 0.48; 6.33], p = 0.35). Conclusion The incidence of VAP was higher in patients ventilated for at least 48 h for COVID-19 than for influenza. In both groups, Gram-negative bacilli were the most frequently detected microorganisms. In patients ventilated for either COVID-19 or influenza VAP and COVID-19 were associated with a higher risk of mortality.",mds,True,findable,0,0,0,0,0,2024-08-14T04:51:14.000Z,2024-08-14T04:51:15.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.26682622,Additional file 2 of The administration of four-factor prothrombin complex concentrate exacerbates thrombin generation in trauma patients at risk of massive transfusion: an ancillary study of the PROCOAG trial,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2: eTable 1: Patient characteristics by treatment group. eFigure 1. Flowchart of the study. eFigure 2. Median thrombin generation curves of patients from placebo and PCC groups. eFigure 3. Thrombomodulin-mediated inhibition of thrombin generation. eFigure 4. Levels of fibrinolysis activator and inhibitors.,mds,True,findable,0,0,0,0,0,2024-08-14T22:52:41.000Z,2024-08-14T22:52:41.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['583266 Bytes'],,,,"['References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26585838,Additional file 6 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 6: Table S5. Summary of all Delphi rounds results.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:35.000Z,2024-08-13T15:17:35.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['474787 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26585838']]"
+10.6084/m9.figshare.c.7116481,An efficient protocol for extracting thylakoid membranes and total leaf proteins from Posidonia oceanica and other polyphenol-rich plants,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The extraction of thylakoids is an essential step in studying the structure of photosynthetic complexes and several other aspects of the photosynthetic process in plants. Conventional protocols have been developed for selected land plants grown in controlled conditions. Plants accumulate defensive chemical compounds such as polyphenols to cope with environmental stresses. When the polyphenol levels are high, their oxidation and cross-linking properties prevent thylakoid extraction. Results In this study, we developed a method to counteract the hindering effects of polyphenols by modifying the grinding buffer with the addition of both vitamin C (VitC) and polyethylene glycol (PEG4000). This protocol was first applied to the marine plant Posidonia oceanica and then extended to other plants synthesizing substantial amounts of polyphenols, such as Quercus pubescens (oak) and Vitis vinifera (grapevine). Native gel analysis showed that photosynthetic complexes (PSII, PSI, and LHCII) can be extracted from purified membranes and fractionated comparably to those extracted from the model plant Arabidopsis thaliana. Moreover, total protein extraction from frozen P. oceanica leaves was also efficiently carried out using a denaturing buffer containing PEG and VitC. Conclusions Our work shows that the use of PEG and VitC significantly improves the isolation of native thylakoids, native photosynthetic complexes, and total proteins from plants containing high amounts of polyphenols and thus enables studies on photosynthesis in various plant species grown in natural conditions.",mds,True,findable,0,0,0,0,0,2024-08-15T01:44:40.000Z,2024-08-15T01:44:40.000Z,figshare.ars,otjm,"Plant Biology,FOS: Biological sciences","[{'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7116481']]"
+10.6084/m9.figshare.c.7012865,Bone marrow graft versus peripheral blood graft in haploidentical hematopoietic stem cells transplantation: a retrospective analysis in1344 patients of SFGM-TC registry,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract The use of peripheral blood (PB) or bone marrow (BM) stem cells graft in haploidentical hematopoietic stem cell transplantation with post-transplant cyclophosphamide (PTCy) for graft-versus-host disease (GVHD) prophylaxis remains controversial. Moreover, the value of adding anti-thymoglobulin (ATG) to PTCy is unknown. A total of 1344 adult patients received an unmanipulated haploidentical transplant at 37 centers from 2012 to 2019 for hematologic malignancy. We compared the outcomes of patients according to the type of graft, using a propensity score analysis. In total population, grade II–IV and III–IV acute GVHD (aGVHD) were lower with BM than with PB. Grade III–IV aGVHD was lower with BM than with PB + ATG. All outcomes were similar in PB and PB + ATG groups. Then, in total population, adding ATG does not benefit the procedure. In acute leukemia, myelodysplastic syndrome and myeloproliferative syndrome (AL-MDS-MPS) subgroup receiving non-myeloablative conditioning, risk of relapse was twice greater with BM than with PB (51 vs. 22%, respectively). Conversely, risk of aGVHD was greater with PB (38% for aGVHD II–IV; 16% for aGVHD III–IV) than with BM (28% for aGVHD II–IV; 8% for aGVHD III–IV). In this subgroup with intensified conditioning regimen, risk of relapse became similar with PB and BM but risk of aGVHD III–IV remained higher with PB than with BM graft (HR = 2.0; range [1.17–3.43], p = 0.012).",mds,True,findable,0,0,0,0,0,2024-08-14T17:32:48.000Z,2024-08-14T17:32:49.000Z,figshare.ars,otjm,"Cell Biology,Molecular Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Cell Biology'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",,,,,,
+10.6084/m9.figshare.25711209,Additional file 1 of Plasma ALS and Gal-3BP differentiate early from advanced liver fibrosis in MASLD patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1.,mds,True,findable,0,0,0,0,0,2024-08-15T08:19:48.000Z,2024-08-15T08:19:48.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Cancer,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['33449 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644303,Additional file 7 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 7. Fig. S7: Impact of perinatal exposure to foodborne TiO2 on cytokines mRNA expression in context of colitis. Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. At 14 weeks of age, colitis has been orally induced by introducing Dextran Sulfate Sodium (DSS) into drinking water at 2% for 7 days followed by 7 days of regular water then 7 days of DSS. Then, at the end of the DSS procedure, mice have been sacrificed and cytokine mRNA expression have been monitored. Data are expressed as mean ± SEM and were analysed by Student’s t-test. **p < 0.01; ***p < 0.001 and ****p < 0.0001 vs. control group. At least n = 5 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:46.000Z,2024-08-14T07:48:47.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['243025 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644291,Additional file 3 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 3. Fig. S3: Impact of perinatal exposure to foodborne TiO2 on colonic microbiota at day 50. (A-E) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. Weaning pups were also exposed to TiO2 (9 mg/Kg of BW/Day) until day 50 after birth (A). Then at day 50 after birth, pups have been sacrificed and the structure of the colonic mucosa-associated microbiota has been monitored by 16S rRNA gene sequencing (B-D). (B) Alpha diversity of colonic mucosal microbiota from exposed or non-exposed mice to foodborne TiO2 at day 50 after birth. (C-D) Composition of colonic microbiota at phyla level (C) and Fold changes 2 for bacterial genera significantly perturbed (D) from exposed or non-exposed mice to foodborne TiO2 at day and 50 after birth. Data are expressed as median ± SEM and were analysed by Mann and Whitney test. At least n = 8 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:39.000Z,2024-08-14T07:48:40.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['268606 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26594573,"Additional file 1 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1. List of the investigators and centers participating in the HOPExt study.,mds,True,findable,0,0,23,0,0,2024-08-13T17:26:39.000Z,2024-08-13T17:26:40.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['555418 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.6683920,"End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Given the scarce donor supply, an increasing number of so-called marginal or extended criteria donor (ECD) organs are used for liver transplantation. These ECD liver grafts are however known to be associated with a higher rate of early allograft dysfunction and primary non-function because of a greater vulnerability to ischemia–reperfusion injury. The end-ischemic hypothermic oxygenated machine perfusion (HOPE) technique may improve outcomes of liver transplantation with ECD grafts by decreasing reperfusion injury. Methods HOPExt trial is a comparative open-label, multicenter, national, prospective, randomized, controlled study, in two parallel groups, using static cold storage, the gold standard procedure, as control. The trial will enroll adult patients on the transplant waiting list for liver failure or liver cirrhosis and/or liver malignancy requiring liver transplantation and receiving an ECD liver graft from a brain-dead donor. In the experimental group, ECD liver grafts will first undergo a classical static cold (4 °C) storage followed by a hypothermic oxygenated perfusion (HOPE) for a period of 1 to 4 h. The control group will consist of the classic static cold storage which is the gold standard procedure in liver transplantation. The primary objective of this trial is to study the efficacy of HOPE used before transplantation of ECD liver grafts from brain-dead donors in reducing postoperative early allograft dysfunction within the first 7 postoperative days compared to simple cold static storage. Discussion We present in this protocol all study procedures in regard to the achievement of the HOPExt trial, to prevent biased analysis of trial outcomes and improve the transparency of the trial results. Enrollment of patients in the HOPExt trial has started on September 10, 2019, and is ongoing. Trial registration ClinicalTrials.gov NCT03929523. Registered on April 29, 2019, before the start of inclusion.",mds,True,findable,0,0,0,0,0,2024-08-13T17:26:43.000Z,2024-08-13T17:26:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,,
+10.6084/m9.figshare.26644306,Additional file 8 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 8. Fig. S8: Impact of gut microbiota dysbiosis induced by perinatal exposure to TiO2 on the cytokines mRNA expression in context of colitis. Germ free mice female have been exposed to gut microbiota dysbiosis induced by perinatal foodborne until the weaning i.e. postnatal day 30. At 14 weeks of age, colitis has been orally induced by introducing Dextran Sulfate Sodium (DSS) into drinking water at 2% for 7 days followed by 7 days of regular water then 7 days of DSS. Then, at the end of the DSS procedure, mice have been sacrificed and cytokines mRNA expression have been monitored. Data are expressed as mean ± SEM and were analysed by Student’s t-test. *p < 0.05; **p < 0.01; ***p < 0.001 and ****p < 0.0001 vs. control group. At least n = 5 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:48.000Z,2024-08-14T07:48:49.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['228261 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.24953248,"Additional file 2 of Vitamin E-enriched medium cross-linked polyethylene in total knee arthroplasty (VIKEP): clinical outcome, oxidation profile, and wear analysis in comparison to standard polyethylene—study protocol for a randomized controlled trial",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Patient information.,mds,True,findable,0,0,0,0,0,2024-08-14T17:21:17.000Z,2024-08-14T17:21:18.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,Cancer,Hematology,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Virology'}]",['59231 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.57760/sciencedb.11915,Tomographs of aragonite samples reacted in cadmium chloride solution at 200°C,Science Data Bank,2024,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"This dataset contains the tomographs of 6 aragonite samples reacted in 0.4M or 2M CdCl2 solution at 200°C for 16, 32 or 64 days. Each sample has been scanned full size and some zoom scans have been acquired in some samples. The voxel size used for each sample is indicated in the table provided with the scans.The detailed method and analysis of the data is available in the following publication: ""Porosity and fluid pathway development during cadmium sequestration by calcium carbonate replacement"", submitted to Environmental Science: Advances, Royal Society of Chemistry.",api,True,findable,0,0,0,0,0,2024-08-15T01:13:05.000Z,2024-08-15T01:13:05.000Z,cnic.sciencedb,cnic,"Environmental science and resources science and technology,Natural science related engineering and technology,Materials science,dissolution-reprecipitation,cadmium,remediation","[{'subject': 'Environmental science and resources science and technology', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '610'}, {'subject': 'Natural science related engineering and technology', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '416'}, {'subject': 'Materials science', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '430'}, {'subject': 'dissolution-reprecipitation'}, {'subject': 'cadmium'}, {'subject': 'remediation'}]","['10258988483 bytes', '2 files']",,,,,
+10.6084/m9.figshare.26691922,Additional file 3 of An efficient protocol for extracting thylakoid membranes and total leaf proteins from Posidonia oceanica and other polyphenol-rich plants,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Method S1. Detailed protocol for the extraction of the thylakoid membranes from P. oceanica and various plant species.,mds,True,findable,0,0,0,0,0,2024-08-15T01:44:36.000Z,2024-08-15T01:44:36.000Z,figshare.ars,otjm,"Plant Biology,FOS: Biological sciences","[{'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['173284 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26691922']]"
+10.6084/m9.figshare.26585823,Additional file 1 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Material S1. List of main emergency surgical diseases.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:27.000Z,2024-08-13T15:17:27.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['11099 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.6623191,The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Timely access to the operating room for emergency general surgery (EGS) indications remains a challenge across the globe, largely driven by operating room availability and staffing constraints. The “timing in acute care surgery” (TACS) classification was previously published to introduce a new tool to triage the timely and appropriate access of EGS patients to the operating room. However, the clinical and operational effectiveness of the TACS classification has not been investigated in subsequent validation studies. This study aimed to improve the TACS classification and provide further consensus around the appropriate use of the new TACS classification through a standardized Delphi approach with international experts. Methods This is a validation study of the new TACS by a selected international panel of experts using the Delphi method. The TACS questionnaire was designed as a web-based survey. The consensus agreement level was established to be ≥ 75%. The collective consensus agreement was defined as the sum of the percentage of the highest Likert scale levels (4–5) out of all participants. Surgical emergency diseases and correlated clinical scenarios were defined for each of the proposed classes. Subsequent rounds were carried out until a definitive level of consensus was reached. Frequencies and percentages were calculated to determine the degree of agreement for each surgical disease. Results Four polling rounds were carried out. The new TACS classification provides 6 colour-code classes correlated to a precise timing to surgery, defined scenarios and surgical condition. The WHITE colour-code class was introduced to rapidly (within a week) reschedule cancelled or postponed surgical procedures. Haemodynamic stability is the main tool to stratify patients for immediate surgery or not in the presence of sepsis/septic shock. Fifty-one surgical diseases were included in the different colour-code classes of priority. Conclusion The new TACS classification is a comprehensive, simple, clear and reproducible triage system which can be used to assess the severity of the patient and the surgical disease, to reduce the time to access to the operating room, and to manage the emergency surgical patients within a “safe” timeframe. By including well-defined surgical diseases in the different colour-code classes of priority, validated through a Delphi consensus, the new TACS improves communication among surgeons, between surgeons and anaesthesiologists and decreases conflicts and waste and waiting time in accessing the operating room for emergency surgical patients. Graphical Abstract",mds,True,findable,0,0,0,0,0,2024-08-13T15:17:37.000Z,2024-08-13T15:17:38.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.6623191']]"
+10.6084/m9.figshare.26644312,Additional file 10 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 10. Fig. S10: Beta diversity analysis of colonic microbiota. Beta diversity of the colonic bacterial community (all bacterial taxa considered) was analyzed using multidimensional non-metric scaling (NMDS) plots generated by Bray–Curtis dissimilarity index. The four mouse groups are represented by different colors: pink for mice non-exposed at TiO2 at days 30, green for mice non-exposed at TiO2 at days 50, blue mice exposed at TiO2 at days 30 and purple for exposed at TiO2 at days 50.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:52.000Z,2024-08-14T07:48:52.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['56252 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.7241443,Development and validation of the tic score for early detection of traumatic coagulopathy upon hospital admission: a cohort study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Critically injured patients need rapid and appropriate hemostatic treatment, which requires prompt identification of trauma-induced coagulopathy (TIC) upon hospital admission. We developed and validated the performance of a clinical score based on prehospital resuscitation parameters and vital signs at hospital admission for early diagnosis of TIC. Methods The score was derived from a level-1 trauma center registry (training set). It was then validated on data from two other level-1 trauma centers: first on a trauma registry (retrospective validation set), and then on a prospective cohort (prospective validation set). TIC was defined as a PTratio > 1.2 at hospital admission. Prehospital (vital signs and resuscitation care) and admission data (vital signs and laboratory parameters) were collected. We considered parameters independently associated with TIC in the score (binomial logistic regression). We estimated the score’s performance for the prediction of TIC. Results A total of 3489 patients were included, and among these a TIC was observed in 22% (95% CI 21–24%) of cases. Five criteria were identified and included in the TIC Score: Glasgow coma scale < 9, Shock Index > 0.9, hemoglobin < 11 g.dL−1, prehospital fluid volume > 1000 ml, and prehospital use of norepinephrine (yes/no). The score, ranging from 0 and 9 points, had good performance for the identification of TIC (AUC: 0.82, 95% CI: 0.81–0.84) without differences between the three sets used. A score value < 2 had a negative predictive value of 93% and was selected to rule-out TIC. Conversely, a score value ≥ 6 had a positive predictive value of 92% and was selected to indicate TIC. Conclusion The TIC Score is quick and easy to calculate and can accurately identify patients with TIC upon hospital admission.",mds,True,findable,0,0,0,0,0,2024-08-18T19:31:30.000Z,2024-08-18T19:31:30.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biotechnology,Cancer,Science Policy,Mental Health,Hematology,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",,,,,,
+10.6084/m9.figshare.c.6586928,SpliceAI-visual: a free online tool to improve SpliceAI splicing variant interpretation,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract SpliceAI is an open-source deep learning splicing prediction algorithm that has demonstrated in the past few years its high ability to predict splicing defects caused by DNA variations. However, its outputs present several drawbacks: (1) although the numerical values are very convenient for batch filtering, their precise interpretation can be difficult, (2) the outputs are delta scores which can sometimes mask a severe consequence, and (3) complex delins are most often not handled. We present here SpliceAI-visual, a free online tool based on the SpliceAI algorithm, and show how it complements the traditional SpliceAI analysis. First, SpliceAI-visual manipulates raw scores and not delta scores, as the latter can be misleading in certain circumstances. Second, the outcome of SpliceAI-visual is user-friendly thanks to the graphical presentation. Third, SpliceAI-visual is currently one of the only SpliceAI-derived implementations able to annotate complex variants (e.g., complex delins). We report here the benefits of using SpliceAI-visual and demonstrate its relevance in the assessment/modulation of the PVS1 classification criteria. We also show how SpliceAI-visual can elucidate several complex splicing defects taken from the literature but also from unpublished cases. SpliceAI-visual is available as a Google Colab notebook and has also been fully integrated in a free online variant interpretation tool, MobiDetails ( https://mobidetails.iurc.montp.inserm.fr/MD ). Graphical abstract",mds,True,findable,0,0,0,0,0,2024-08-13T10:58:33.000Z,2024-08-13T10:58:34.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mental Health","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mental Health'}]",,,,,,
+10.6084/m9.figshare.26685150,Additional file 3 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 3,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:47.000Z,2024-08-14T23:35:47.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['60080 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26685150']]"
+10.6084/m9.figshare.26635410,Additional file 1 of Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1: Table S1,mds,True,findable,0,0,23,0,0,2024-08-14T05:18:52.000Z,2024-08-14T05:18:53.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['39961 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26635410']]"
+10.6084/m9.figshare.26637147,Additional file 1 of Effects of a healthcare students’ prevention intervention for school children on their own substance use: a before-after study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplemental file 1. Expanded responses to the close questions of the questionnaire.,mds,True,findable,0,0,38,0,0,2024-08-14T05:50:48.000Z,2024-08-14T05:50:49.000Z,figshare.ars,otjm,"Biotechnology,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['18912 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26758970,Additional file 3 of Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 3,mds,True,findable,0,0,75,0,0,2024-08-15T21:28:29.000Z,2024-08-15T21:28:30.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",['21408 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26577821,"Additional file 1 of A new cure model that corrects for increased risk of non-cancer death: analysis of reliability and robustness, and application to real-life data",figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 1: Supplemetary file Fig. 1. Probability density according to different θ parameters representing different distribution of the uncured function.Two figures representing Lung and Breast scenario. Supplemetary file Table 1. Performance indicators using grouped data of Model(1) in situations when there was very small or no cure at all and a persisting long-term cancer mortality (g=1). The Model(1) was used with a logistic age effect on cured (as proposed all along the manuscript), a linear age effect on cured and without cure. 1,000 estimates each composed by 10,000 cases and 15 years of follow-up. Supplementary file Table 2. Robustness analysis using Maximum likelihood on individual data. a) The times to cancer death of uncured patients do not follow a Weibull distribution; b) The extra non-cancer death risk is dependent of age at diagnosis; c) The extra non-cancer death risk randomly varies among the patients. Supplementary file Table 3. Performance indicators for a and p using individual data according to sample size and length of follow-up. 1,000 estimates each composed by different sample size and follow-up length in years.",mds,True,findable,0,0,32,0,0,2024-08-13T13:16:16.000Z,2024-08-13T13:16:16.000Z,figshare.ars,otjm,"Medicine,Physiology,FOS: Biological sciences,Biotechnology,Ecology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Ecology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['56397 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.6889784,TrisOxine abiotic siderophores for technetium complexation: radiolabeling and biodistribution studies,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Despite the development of positron emission tomography (PET), single photon emission computed tomography (SPECT) still accounts for around 80% of all examinations performed in nuclear medicine departments. The search for new radiotracers or chelating agents for Technetium-99m is therefore still ongoing. O-TRENSOX and O-TRENOX two synthetic siderophores would be good candidates for this purpose as they are hexadentate ligands based on the very versatile and efficient 8-hydroxyquinoline chelating subunit. First, the radiolabeling of O-TRENOX and O-TRENSOX with 99mTc was investigated. Different parameters such as the quantity of chelating agent, type of reducing agent, pH and temperature of the reaction mixture were adjusted in order to find the best radiolabeling conditions. Then an assessment of the partition coefficient by measuring the distribution of each radiosynthesized complex between octanol and phosphate-buffered saline was realized. The complex’s charge was evaluated on three different celluloses (neutral, negatively charged P81 and positively charged DE81), and finally in vivo studies with biodistribution and SPECT imaging of [99mTc]Tc-O-TRENOX and [99mTc]Tc-O-TRENSOX were performed. Results The radiolabeling studies showed a rapid and efficient complexation of 99mTc with both chelating agents. Using tin pyrophosphate as the reducing agent and a minimum of 100 nmol of ligand, we obtained the [99mTc]Tc-O-TRENOX complex with a radiochemical purity of more than 98% and the [99mTc]Tc-O-TRENSOX complex with one above 97% at room temperature within 5 min. [99mTc]Tc-O-TRENOX complex was lipophilic and neutral, leading to a hepatobiliary elimination in mice. On the contrary, the [99mTc]Tc-O-TRENSOX complex was found to be hydrophilic and negatively charged. This was confirmed by a predominantly renal elimination in mice. Conclusions These encouraging results allow us to consider the O-TRENOX/99mTc and O-TRENSOX/99mTc complexes as serious candidates for SPECT imaging chelators. This study should be continued by conjugating these tris-oxine ligands to peptides or antibodies and comparing them with the other bifunctional agents used with Tc.",mds,True,findable,0,0,0,0,0,2024-08-14T03:33:49.000Z,2024-08-14T03:33:50.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Cell Biology,Environmental Sciences not elsewhere classified,Chemical Sciences not elsewhere classified","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Chemical Sciences not elsewhere classified'}]",,,,,,
+10.6084/m9.figshare.26635419,Additional file 4 of Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 4: Table S3,mds,True,findable,0,0,23,0,0,2024-08-14T05:18:56.000Z,2024-08-14T05:18:57.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['21338 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26635419']]"
+10.6084/m9.figshare.26585835,Additional file 5 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 5: Table S4. Delphi round IV results.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:33.000Z,2024-08-13T15:17:34.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['52360 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26594576,"Additional file 2 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Health economic analysis.,mds,True,findable,0,0,23,0,0,2024-08-13T17:26:41.000Z,2024-08-13T17:26:41.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['541717 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26594576']]"
+10.6084/m9.figshare.26691919,Additional file 2 of An efficient protocol for extracting thylakoid membranes and total leaf proteins from Posidonia oceanica and other polyphenol-rich plants,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 2: Figure S1. Chlorophyll extraction yield using conventional and PVC protocols from selected plant species. Figure S2. 2D Urea-PAGE for the identification of P. oceanica supercomplexes isolated by CN-PAGE. Figure S3. Oxygen production rate from A. thaliana thylakoids (PVC protocol) and P. oceanica (2 m) thylakoids (conventional protocol, conventional protocol + 5% VitC and PVC protocol). Figure S4. 2D Urea-PAGE for the identification of peptides of supercomplexes isolated by BN-PAGE from various plant species. Figure S5. Organization and ultrastructure of leaf tissues from A. thaliana and Q. pubescens. Figure S6. Leaf chlorophyll content from various plant species.",mds,True,findable,0,0,0,0,0,2024-08-15T01:44:34.000Z,2024-08-15T01:44:34.000Z,figshare.ars,otjm,"Plant Biology,FOS: Biological sciences","[{'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1191648 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26722614,Additional file 3 of Development and validation of the tic score for early detection of traumatic coagulopathy upon hospital admission: a cohort study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary file 3 (DOCX 12 kb),mds,True,findable,0,0,32,0,0,2024-08-15T10:57:17.000Z,2024-08-15T10:57:18.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biotechnology,Cancer,Science Policy,Mental Health,Hematology,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['12341 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26722614']]"
+10.6084/m9.figshare.26644315,Additional file 11 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 11. Table S1: Sequence of oligonucleotides used for RT-qPCR experiments.,mds,True,findable,0,0,0,0,0,2024-08-14T07:48:54.000Z,2024-08-14T07:48:54.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['75485 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26758973,Additional file 4 of Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 4,mds,True,findable,0,0,75,0,0,2024-08-15T21:28:31.000Z,2024-08-15T21:28:32.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",['9570 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26758973']]"
+10.6084/m9.figshare.c.7113041,Diaphragm thickness modifications and associated factors during VA-ECMO for a cardiogenic shock: a cohort study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The incidence, causes and impact of diaphragm thickness evolution in veno-arterial extracorporeal membrane oxygenation (VA-ECMO) for cardiogenic shock are unknown. Our study investigates its evolution during the first week of VA-ECMO and its relationship with sweep gas flow settings. Methods We conducted a prospective monocentric observational study in a 12-bed ICU in France, enrolling patients on the day of the VA-ECMO implantation. The diaphragm thickness and the diaphragm thickening fraction (as index of contractile activity, dTF; dTF < 20% defined a low contractile activity) were daily measured for one week using ultrasound. Factors associated with diaphragm thickness evolution (categorized as increased, stable, or atrophic based on > 10% modification from baseline to the last measurement), early extubation role (< day4), and patients outcome at 60 days were investigated. Changes in diaphragm thickness, the primary endpoint, was analysed using a mixed-effect linear model (MLM). Results Of the 29 included patients, seven (23%) presented diaphragm atrophy, 18 remained stable (60%) and 4 exhibited an increase (17%). None of the 13 early-extubated patients experienced diaphragm atrophy, while 7 (46%) presented a decrease when extubated later (p-value = 0.008). Diaphragm thickness changes were not associated with the dTF (p-value = 0.13) but with sweep gas flow (Beta = − 3; Confidence Interval at 95% (CI) [− 4.8; − 1.2]. p-value = 0.001) and pH (Beta = − 2; CI [− 2.9; − 1]. p-value < 0.001) in MLM. The dTF remained low (< 20%) in 20 patients (69%) at the study’s end and was associated with sweep gas flow evolution in MLM (Beta = − 2.8; 95% CI [− 5.2; − 0.5], p-value = 0.017). Odds ratio of death at 60 days in case of diaphragm atrophy by day 7 was 8.50 ([1.4–74], p = 0.029). Conclusion In our study, diaphragm thickness evolution was frequent and not associated with the diaphragm thickening fraction. Diaphragm was preserved from atrophy in case of early extubation with ongoing VA-ECMO assistance. Metabolic disorders resulting from organ failures and sweep gas flow were linked with diaphragm thickness evolution. Preserved diaphragm thickness in VA-ECMO survivors emphasizes the importance of diaphragm-protective strategies, including meticulous sweep gas flow titration.",mds,True,findable,0,0,0,0,0,2024-08-15T01:28:36.000Z,2024-08-15T01:28:36.000Z,figshare.ars,otjm,"Cell Biology,Ecology,FOS: Biological sciences,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Cell Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,,
+10.6084/m9.figshare.26685162,Additional file 7 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 7,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:54.000Z,2024-08-14T23:35:54.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['189101 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26690905,Additional file 1 of Diaphragm thickness modifications and associated factors during VA-ECMO for a cardiogenic shock: a cohort study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1:Table 1. Included cardiopathy, type of surgery procedures and septic status in the studied population. Table 2. Patients characteristics according to their liberation from mechanical ventilation status at day 3. Table 3. Patients characteristics according to their diaphragm evolution status at the end of patient follow-up. Table 4. Diaphragm thickness at end expiration evolution in cardiogenic shock treated with VA-ECMO: mixed-linear model and sensitivity analysis. Table 5. Diaphragm thickening fraction (dTF %) evolution in patient extubated before day 4 or not. Table 6. Patients characteristics according to the diaphragm contractile activity. Table 7. Diaphragm thickening fraction evolution in cardiogenic shock treated with VA-ECMO: calculation of a mixed-effect linear model (MLM) of diaphragm thickness over time, with subjects treated as random effects. Table 8. Patients outcome according to their liberation from mechanical ventilation status at day 3 Table 9. Outcome of the studied population according to the contractile activity status. Table 10. Univariate analysis of death at 60 days. Logistic regression model of the risk of death at 60 days adjusted for age, body mass index, cardiac arrest, SAPS2 and the presence of diaphragm atrophy by day 7. Table 11. Characteristics of patients deceased during the 60 days follow-up after the implantation of a VA-ECMO. Figure 1. Study flowchart. Figure 2. Graphic representations of the individual values of thickness evolution. Figure 3. Graphic representations of repeated measure correlation. Figure 4. pH values in VA-ECMO in intubated or extubated patients by day three. Figure 5.Sweep gas flow values in VA-ECMO in intubated or extubated patients by day three. Figure 6. PaCO2 (mmHg) values in intubated or extubated patients by day three. Figure 7.VA-ECMO flow values in intubated or extubated patients by day three. Figure 8.pH evolution according the sweep gas flow according the three groups of thickness classification. Additional file 1: Figure 9.visual abstract",mds,True,findable,0,0,0,0,0,2024-08-15T01:28:35.000Z,2024-08-15T01:28:35.000Z,figshare.ars,otjm,"Cell Biology,Ecology,FOS: Biological sciences,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Cell Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1177228 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26639262,Additional file 1 of Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1.,mds,True,findable,0,0,33,0,0,2024-08-14T06:29:17.000Z,2024-08-14T06:29:18.000Z,figshare.ars,otjm,"Medicine,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['1437994 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26635416,Additional file 3 of Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 3: Table S2,mds,True,findable,0,0,23,0,0,2024-08-14T05:18:55.000Z,2024-08-14T05:18:57.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['21027 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26635416']]"
+10.6084/m9.figshare.c.6946290,Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Perinatal exposure to titanium dioxide (TiO2), as a foodborne particle, may influence the intestinal barrier function and the susceptibility to develop inflammatory bowel diseases (IBD) later in life. Here, we investigate the impact of perinatal foodborne TiO2 exposure on the intestinal mucosal function and the susceptibility to develop IBD-associated colitis. Pregnant and lactating mother mice were exposed to TiO2 until pups weaning and the gut microbiota and intestinal barrier function of their offspring was assessed at day 30 post-birth (weaning) and at adult age (50 days). Epigenetic marks was studied by DNA methylation profile measuring the level of 5-methyl-2′-deoxycytosine (5-Me-dC) in DNA from colic epithelial cells. The susceptibility to develop IBD has been monitored using dextran-sulfate sodium (DSS)-induced colitis model. Germ-free mice were used to define whether microbial transfer influence the mucosal homeostasis and subsequent exacerbation of DSS-induced colitis. Results In pregnant and lactating mice, foodborne TiO2 was able to translocate across the host barriers including gut, placenta and mammary gland to reach embryos and pups, respectively. This passage modified the chemical element composition of foetus, and spleen and liver of mothers and their offspring. We showed that perinatal exposure to TiO2 early in life alters the gut microbiota composition, increases the intestinal epithelial permeability and enhances the colonic cytokines and myosin light chain kinase expression. Moreover, perinatal exposure to TiO2 also modifies the abilities of intestinal stem cells to survive, grow and generate a functional epithelium. Maternal TiO2 exposure increases the susceptibility of offspring mice to develop severe DSS-induced colitis later in life. Finally, transfer of TiO2-induced microbiota dysbiosis to pregnant germ-free mice affects the homeostasis of the intestinal mucosal barrier early in life and confers an increased susceptibility to develop colitis in adult offspring. Conclusions Our findings indicate that foodborne TiO2 consumption during the perinatal period has negative long-lasting consequences on the development of the intestinal mucosal barrier toward higher colitis susceptibility. This demonstrates to which extent environmental factors influence the microbial-host interplay and impact the long-term mucosal homeostasis.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:58.000Z,2024-08-14T07:48:58.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.6946290']]"
+10.15778/resif.z42022,Krafla temporary nodes experiment deployed for imaging and monitoring the Krafla volcano in Iceland in 2022 (RESIF-SISMOB),RESIF - Réseau Sismologique et géodésique Français,2022,,Dataset,,99 Fairfield 3-C sensors deployed along the Krafla Volcano in Iceland for imaging and monitoring purposes for one month.,fabrica,True,findable,0,0,0,1,0,2024-08-12T15:46:20.000Z,2024-08-12T15:46:43.000Z,inist.resif,vcob,"Seismicity,LET Tomography,Seismic noise","[{'subject': 'Seismicity'}, {'subject': 'LET Tomography'}, {'subject': 'Seismic noise'}]","['98 stations, 280Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.6084/m9.figshare.26567603,Additional file 1 of SpliceAI-visual: a free online tool to improve SpliceAI splicing variant interpretation,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplementary Methods and Patients, contains: Patients clinical description, supplemental laboratory methods, Supplemental Figure 1, Supplemental Figure 2, Supplemental table 1.",mds,True,findable,0,0,38,0,0,2024-08-13T10:58:33.000Z,2024-08-13T10:58:33.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mental Health","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mental Health'}]",['360541 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26691925,Additional file 4 of An efficient protocol for extracting thylakoid membranes and total leaf proteins from Posidonia oceanica and other polyphenol-rich plants,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 4.,mds,True,findable,0,0,0,0,0,2024-08-15T01:44:38.000Z,2024-08-15T01:44:38.000Z,figshare.ars,otjm,"Plant Biology,FOS: Biological sciences","[{'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['2061125 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26691925']]"
+10.6084/m9.figshare.26664595,Additional file 2 of Bone marrow graft versus peripheral blood graft in haploidentical hematopoietic stem cells transplantation: a retrospective analysis in1344 patients of SFGM-TC registry,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Supplementary discussion.,mds,True,findable,0,0,0,0,0,2024-08-14T17:32:44.000Z,2024-08-14T17:32:44.000Z,figshare.ars,otjm,"Cell Biology,Molecular Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Cell Biology'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",['18205 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26585829,Additional file 3 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S2. Delphi round II results.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:30.000Z,2024-08-13T15:17:30.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['279842 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.5281/zenodo.13270420,m2lines/L96_demo: Final version for JOSE,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Final version of repo for JOSE acceptance.,api,True,findable,0,0,0,1,0,2024-08-16T01:47:42.000Z,2024-08-16T01:47:43.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13270420']]"
+10.6084/m9.figshare.26664589,Additional file 1 of Bone marrow graft versus peripheral blood graft in haploidentical hematopoietic stem cells transplantation: a retrospective analysis in1344 patients of SFGM-TC registry,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Supplementary materials and methods.,mds,True,findable,0,0,0,0,0,2024-08-14T17:32:42.000Z,2024-08-14T17:32:43.000Z,figshare.ars,otjm,"Cell Biology,Molecular Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Cell Biology'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",['17203 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26664589']]"
+10.6084/m9.figshare.c.6929067,Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patients at high risk of dying in hospital is essential. Methods We used de-identified routine patient data available in the first 2 days of hospitalization in a French University Hospital (between 2016 and 2018) to build models predicting in-hospital mortality (at ≥ 2 and ≤ 30 days after admission). We tested nine different machine learning algorithms with repeated 10-fold cross-validation. Models were trained with 283 variables including age, sex, socio-determinants of health, laboratory test results, procedures (Classification of Medical Acts), medications (Anatomical Therapeutic Chemical code), hospital department/unit and home address (urban, rural etc.). The models were evaluated using various performance metrics. The dataset contained 123,729 admissions, of which the outcome for 3542 was all-cause in-hospital mortality and 120,187 admissions (no death reported within 30 days) were controls. Results The support vector machine, logistic regression and Xgboost algorithms demonstrated high discrimination with a balanced accuracy of 0.81 (95%CI 0.80–0.82), 0.82 (95%CI 0.80–0.83) and 0.83 (95%CI 0.80–0.83) and AUC of 0.90 (95%CI 0.88–0.91), 0.90 (95%CI 0.89–0.91) and 0.90 (95%CI 0.89–0.91) respectively. The most predictive variables for in-hospital mortality in all three models were older age (greater risk), and admission with a confirmed appointment (reduced risk). Conclusion We propose three highly discriminating machine-learning models that could improve clinical and organizational decision making for adult patients at hospital admission.",mds,True,findable,0,0,0,0,0,2024-08-14T06:29:18.000Z,2024-08-14T06:29:18.000Z,figshare.ars,otjm,"Medicine,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.26664601,Additional file 3 of Bone marrow graft versus peripheral blood graft in haploidentical hematopoietic stem cells transplantation: a retrospective analysis in1344 patients of SFGM-TC registry,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Supplementary tables.,mds,True,findable,0,0,0,0,0,2024-08-14T17:32:45.000Z,2024-08-14T17:32:46.000Z,figshare.ars,otjm,"Cell Biology,Molecular Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Cell Biology'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",['33263 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26635422,Additional file 5 of Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 5: Figure S2,mds,True,findable,0,0,23,0,0,2024-08-14T05:18:58.000Z,2024-08-14T05:18:58.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['35781 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26669103,Additional file 1 of Early management of adult traumatic spinal cord injury in patients with polytrauma: a consensus and clinical recommendations jointly developed by the World Society of Emergency Surgery (WSES) & the European Association of Neurosurgical Societies (EANS),figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Appendix 1.,mds,True,findable,0,0,0,0,0,2024-08-14T18:42:48.000Z,2024-08-14T18:42:49.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Molecular Biology,Neuroscience,Environmental Sciences not elsewhere classified,Ecology,Information Systems not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Information Systems not elsewhere classified'}]",['20507 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.7267360,“Let’s put it this way: you can’t really live without it” - digital technologies in routine palliative care delivery: an explorative qualitative study with patients and their family caregivers in Germany,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Despite ongoing efforts to integrate palliative care into the German healthcare system, challenges persist, particularly in areas where infrastructure does not fully support digital technologies (DT). The increasing importance of digital technology (DT) in palliative care delivery presents both opportunities and challenges. Objective This study aimed to explore the perspectives and preferences of palliative care patients and their family caregivers regarding the use of DT in care delivery. Methods An exploratory qualitative study was conducted using semi-structured interviews with palliative care patients and their family caregivers across various settings. Participants were selected through gatekeeper-supported purposive sampling. Interviews were analysed using structured qualitative content analysis. Results Nineteen interviews were conducted.Three themes emerged: (1) Application of DTs in palliative care; (2) Potential of DTs; (3) Barriers to the use of DTs. Key findings highlighted the preference for real-time communication using DTs that participants are familiar with. Participants reported limited perceived value for digital transformation in the presence of in-person care. The study identified requirements for DT development and use in palliative care, including the need for direct and immediate functionality, efficiency in healthcare professional (HCP) work, and continuous access to services. Conclusion The findings highlight a demonstrate the importance of familiarity with DTs and real-time access for patients and their families. While DT can enhance palliative care efficiency and accessibility, its integration must complement, not replace, in-person interaction in palliative care. As DTs continue to grow in scope and use in palliative care, maintaining continued user engagement is essential to optimise their adoption and ensure they benefit patients and their caregivers.",mds,True,findable,0,0,0,0,0,2024-08-15T13:02:41.000Z,2024-08-15T13:02:42.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Cancer,Mental Health","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7267360']]"
+10.57760/sciencedb.11705,Tomographs of Carrara marble samples reacted in cadmium chloride solution at 200°C,Science Data Bank,2024,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"This dataset contains the tomographs of 6 Carrara marble samples reacted in 0.4M or 2M CdCl2 solution at 200°C for 16, 32 or 64 days. Each sample has been scanned full size with a voxel size of 2.3 micrometers and a zoom scan with a voxel size of 0.36 micrometers.The detailed method and analysis of the data is available in the following publication: ""Porosity and fluid pathway development during cadmium sequestration by calcium carbonate replacement"", submitted to Environmental Science: Advances, Royal Society of Chemistry.",api,True,findable,0,0,0,0,0,2024-08-15T11:32:53.000Z,2024-08-15T11:32:53.000Z,cnic.sciencedb,cnic,"Natural science related engineering and technology,Materials science,Environmental science and resources science and technology,dissolution-reprecipitation,cadmium,remediation","[{'subject': 'Natural science related engineering and technology', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '416'}, {'subject': 'Materials science', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '430'}, {'subject': 'Environmental science and resources science and technology', 'subjectScheme': 'GB/T 13745-2009', 'classificationCode': '610'}, {'subject': 'dissolution-reprecipitation'}, {'subject': 'cadmium'}, {'subject': 'remediation'}]","['99398887984 bytes', '14 files']",,,,,
+10.6084/m9.figshare.26635413,Additional file 2 of Comparison of seven comorbidity scores on four-month survival of lung cancer patients,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2: Figure S1,mds,True,findable,0,0,23,0,0,2024-08-14T05:18:54.000Z,2024-08-14T05:18:54.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['93281 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26635413']]"
+10.6084/m9.figshare.26682619,Additional file 1 of The administration of four-factor prothrombin complex concentrate exacerbates thrombin generation in trauma patients at risk of massive transfusion: an ancillary study of the PROCOAG trial,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Study protocol with blood sampling and assays.,mds,True,findable,0,0,0,0,0,2024-08-14T22:52:40.000Z,2024-08-14T22:52:40.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['18254 Bytes'],,,,"['References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.6596504,"A new cure model that corrects for increased risk of non-cancer death: analysis of reliability and robustness, and application to real-life data",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Non-cancer mortality in cancer patients may be higher than overall mortality in the general population due to a combination of factors, such as long-term adverse effects of treatments, and genetic, environmental or lifestyle-related factors. If so, conventional indicators may underestimate net survival and cure fraction. Our aim was to propose and evaluate a mixture cure survival model that takes into account the increased risk of non-cancer death for cancer patients. Methods We assessed the performance of a corrected mixture cure survival model derived from a conventional mixture cure model to estimate the cure fraction, the survival of uncured patients, and the increased risk of non-cancer death in two settings of net survival estimation, grouped life-table data and individual patients’ data. We measured the model’s performance in terms of bias, standard deviation of the estimates and coverage rate, using an extensive simulation study. This study included reliability assessments through violation of some of the model’s assumptions. We also applied the models to colon cancer data from the FRANCIM network. Results When the assumptions were satisfied, the corrected cure model provided unbiased estimates of parameters expressing the increased risk of non-cancer death, the cure fraction, and net survival in uncured patients. No major difference was found when the model was applied to individual or grouped data. The absolute bias was < 1% for all parameters, while coverage ranged from 89 to 97%. When some of the assumptions were violated, parameter estimates appeared more robust when obtained from grouped than from individual data. As expected, the uncorrected cure model performed poorly and underestimated net survival and cure fractions in the simulation study. When applied to colon cancer real-life data, cure fractions estimated using the proposed model were higher than those in the conventional model, e.g. 5% higher in males at age 60 (57% vs. 52%). Conclusions The present analysis supports the use of the corrected mixture cure model, with the inclusion of increased risk of non-cancer death for cancer patients to provide better estimates of indicators based on cancer survival. These are important to public health decision-making; they improve patients’ awareness and facilitate their return to normal life.",mds,True,findable,0,0,0,0,0,2024-08-13T13:16:16.000Z,2024-08-13T13:16:16.000Z,figshare.ars,otjm,"Medicine,Physiology,FOS: Biological sciences,Biotechnology,Ecology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Ecology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.6596504']]"
+10.6084/m9.figshare.26585826,Additional file 2 of The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Table S1. Delphi round I results.,mds,True,findable,0,0,14,0,0,2024-08-13T15:17:28.000Z,2024-08-13T15:17:29.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,Environmental Sciences not elsewhere classified,Ecology,FOS: Biological sciences,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['105007 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26729365,Additional file 2 of “Let’s put it this way: you can’t really live without it” - digital technologies in routine palliative care delivery: an explorative qualitative study with patients and their family caregivers in Germany,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,0,0,2024-08-15T13:02:40.000Z,2024-08-15T13:02:40.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Cancer,Mental Health","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}]",['492407 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.6880688,Prognosis of critically ill immunocompromised patients with virus-detected acute respiratory failure,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Acute respiratory failure (ARF) is the leading cause of ICU admission. Viruses are increasingly recognized as a cause of pneumonia in immunocompromised patients, but epidemiologic data are scarce. We used the Groupe de Recherche en Réanimation Respiratoire en Onco-Hématologie’s database (2003–2017, 72 intensive care units) to describe the spectrum of critically ill immunocompromised patients with virus-detected ARF and to report their outcomes. Then, patients with virus-detected ARF were matched based on clinical characteristics and severity (1:3 ratio) with patients with ARF from other origins. Results Of the 4038 immunocompromised patients in the whole cohort, 370 (9.2%) had a diagnosis of virus-detected ARF and were included in the study. Influenza was the most common virus (59%), followed by respiratory syncytial virus (14%), with significant seasonal variation. An associated bacterial infection was identified in 79 patients (21%) and an invasive pulmonary aspergillosis in 23 patients (6%). The crude in-hospital mortality rate was 37.8%. Factors associated with mortality were: neutropenia (OR = 1.74, 95% confidence interval, CI [1.05–2.89]), poor performance status (OR = 1.84, CI [1.12–3.03]), and the need for invasive mechanical ventilation on the day of admission (OR = 1.97, CI [1.14–3.40]). The type of virus was not associated with mortality. After matching, patients with virus-detected ARF had lower mortality (OR = 0.77, CI [0.60–0.98]) than patients with ARF from other causes. This result was mostly driven by influenza-like viruses, namely, respiratory syncytial virus, parainfluenza virus, and human metapneumovirus (OR = 0.54, CI [0.33–0.88]). Conclusions In immunocompromised patients with virus-detected ARF, mortality is high, whatever the species, mainly influenced by clinical severity and poor general status. However, compared to non-viral ARF, in-hospital mortality was lower, especially for patients with detected viruses other than influenza.",mds,True,findable,0,0,0,0,0,2024-08-14T02:57:50.000Z,2024-08-14T02:57:50.000Z,figshare.ars,otjm,"Space Science,Medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.26685159,Additional file 6 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 6,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:52.000Z,2024-08-14T23:35:52.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['188135 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.7090572,Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Intra-breath oscillometry has been proposed as a sensitive means of detecting airway obstruction in young children. We aimed to assess the impact of early life wheezing and lower respiratory tract illness on lung function, using both standard and intra-breath oscillometry in 3 year old children. Methods History of doctor-diagnosed asthma, wheezing, bronchiolitis and bronchitis and hospitalisation for respiratory problems were assessed by questionnaires in 384 population-based children. Association of respiratory history with standard and intra-breath oscillometry parameters, including resistance at 7 Hz (R7), frequency-dependence of resistance (R7 − 19), reactance at 7 Hz (X7), area of the reactance curve (AX), end-inspiratory and end-expiratory R (ReI, ReE) and X (XeI, XeE), and volume-dependence of resistance (ΔR = ReE-ReI) was estimated by linear regression adjusted on confounders. Results Among the 320 children who accepted the oscillometry test, 281 (88%) performed 3 technically acceptable and reproducible standard oscillometry measurements and 251 children also performed one intra-breath oscillometry measurement. Asthma was associated with higher ReI, ReE, ΔR and R7 and wheezing was associated with higher ΔR. Bronchiolitis was associated with higher R7 and AX and lower XeI and bronchitis with higher ReI. No statistically significant association was observed for hospitalisation. Conclusions Our findings confirm the good success rate of oscillometry in 3-year-old children and indicate an association between a history of early-life wheezing and lower respiratory tract illness and lower lung function as assessed by both standard and intra-breath oscillometry. Our study supports the relevance of using intra-breath oscillometry parameters as sensitive outcome measures in preschool children in epidemiological cohorts.",mds,True,findable,0,0,0,0,0,2024-08-18T16:00:39.000Z,2024-08-18T16:00:40.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,,,,,
+10.6084/m9.figshare.26685165,Additional file 8 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 8,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:55.000Z,2024-08-14T23:35:55.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['193545 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26685165']]"
+10.6084/m9.figshare.c.6919467,Effects of a healthcare students’ prevention intervention for school children on their own substance use: a before-after study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Cognitive dissonance theory and research has suggested that engaging in prevention interventions for other students may be a means of reducing one’s own problematic behaviors in order to reduce potential cognitive dissonance. This study assessed the effects of a new mandatory prevention intervention program for healthcare students in France. The aim was to measure the effects of engaging in a prevention program in schools on the usual increase in substance use in student populations. Methods Healthcare students were trained in a French university to develop psychosocial competences as a health promotion means (FEPS training) or more specifically to prevent substance use in teenagers (Unplugged program training). The students (n = 314) who accepted to take part in the study from both groups completed questionnaires before their interventions in schools, and at the end of the year, measuring their representations and behaviors regarding psychoactive substances. Results The results indicated a significant reduction in alcohol consumption in terms of quantity, but no significant reduction in tobacco and marijuana consumption. Conclusions This study showed that, contrary to the usual increase in substance use in students as they advance in their year, the students who took part in this study showed reduced self-reported consumption of alcohol after they had performed the prevention intervention in schools regardless of the type of training they had received (general health promotion vs. specific substance use prevention program). Limitations and future perspectives are discussed.",mds,True,findable,0,0,0,0,0,2024-08-14T05:50:49.000Z,2024-08-14T05:50:49.000Z,figshare.ars,otjm,"Biotechnology,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.6919467']]"
+10.6084/m9.figshare.c.6962078,Dysnatremia at ICU admission and functional outcome of cardiac arrest: insights from four randomised controlled trials,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Purpose To evaluate the potential association between early dysnatremia and 6-month functional outcome after cardiac arrest. Methods We pooled data from four randomised clinical trials in post-cardiac-arrest patients admitted to the ICU with coma after stable return of spontaneous circulation (ROSC). Admission natremia was categorised as normal (135–145 mmol/L), low, or high. We analysed associations between natremia category and Cerebral Performance Category (CPC) 1 or 2 at 6 months, with and without adjustment on the modified Cardiac Arrest Hospital Prognosis Score (mCAHP). Results We included 1163 patients (581 from HYPERION, 352 from TTH48, 120 from COMACARE, and 110 from Xe-HYPOTHECA) with a mean age of 63 ± 13 years and a predominance of males (72.5%). A cardiac cause was identified in 63.6% of cases. Median time from collapse to ROSC was 20 [15–29] minutes. Overall, mean natremia on ICU admission was 137.5 ± 4.7 mmol/L; 211 (18.6%) and 31 (2.7%) patients had hyponatremia and hypernatremia, respectively. By univariate analysis, CPC 1 or 2 at 6 months was significantly less common in the group with hyponatremia (50/211 [24%] vs. 363/893 [41%]; P = 0.001); the mCAHP-adjusted odds ratio was 0.45 (95%CI 0.26–0.79, p = 0.005). The number of patients with hypernatremia was too small for a meaningful multivariable analysis. Conclusions Early hyponatremia was common in patients with ROSC after cardiac arrest and was associated with a poorer 6-month functional outcome. The mechanisms underlying this association remain to be elucidated in order to determine whether interventions targeting hyponatremia are worth investigating. Registration ClinicalTrial.gov, NCT01994772, November 2013, 21.",mds,True,findable,0,0,0,0,0,2024-08-14T09:00:25.000Z,2024-08-14T09:00:26.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Information Systems not elsewhere classified,Cancer,Mental Health,Virology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.25854698,Additional file 2 of Development and validation of the tic score for early detection of traumatic coagulopathy upon hospital admission: a cohort study,figshare,2024,,Image,Creative Commons Attribution 4.0 International,Supplementary file 2 (JPG 453 kb),mds,True,findable,0,0,32,0,0,2024-08-15T10:57:16.000Z,2024-08-15T10:57:16.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biotechnology,Cancer,Science Policy,Mental Health,Hematology,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['464136 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.25854698']]"
+10.6084/m9.figshare.26644300,Additional file 6 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 6. Fig. S6: Impact of perinatal exposure to TiO2 foodborne on intestinal immune system. (A-C) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. Weaning pups were also exposed to TiO2 (9 mg/Kg of BW/Day) until day 50 after birth. Then, at days 30 or 50 after birth, pups have been sacrificed and several parameters including mRNA expression have been monitored. (A–C) On Peyer’s patches (A) and scrapped ileal (B) and colon (C)), mRNA expression of Il1b, Il6, Il10, Il12, Il22, Il23, TNFa, IFNg, was monitored at days 30 and 50 after birth. Data are expressed as mean ± SEM and were analysed by Student’s t-test. *p < 0.05 and **p < 0.01 vs. control group. At least n = 8 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:45.000Z,2024-08-14T07:48:45.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['256114 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644297,Additional file 5 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 5. Fig. S5: Impact of perinatal exposure to foodborne TiO2 on mucus, antimicrobial peptides and immunoglobulins. (A-D) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. Then, at days 30 or 50 after birth, pups have been sacrificed and several parameters including colonic mRNA expression of mucin 2 (Muc2), mucin 3 (Muc3), mucin 4 (Muc4) and Trefoiled factor 3 (Tff3) (A, B), faecal levels of lysozym (C) and IgG (D). Data are expressed as mean ± SEM and were analysed by Student’s t-test. *p < 0.05 and ***p < 0.001 vs. control group. At least n = 5 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:43.000Z,2024-08-14T07:48:43.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['235476 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.25329836,Additional file 2 of Insights of undergraduate health sciences students about a French interprofessional training initiative,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2.,mds,True,findable,0,0,0,0,0,2024-08-15T00:27:06.000Z,2024-08-15T00:27:06.000Z,figshare.ars,otjm,"Pharmacology,Biotechnology,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['18250 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26660299,"Additional file 1 of Occurrences of post-traumatic stress disorder, anxiety, depression, and burnout syndrome in ICU staff workers after two-year of the COVID-19 pandemic: the international PSY-CO in ICU study",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Table S1. Pearson correlation coefficients (between all scales). Table S2. Dispersion and position parameters associated with the assessment scales for psychological disorders.,mds,True,findable,0,0,0,0,0,2024-08-14T12:26:39.000Z,2024-08-14T12:26:40.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['32002 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26660299']]"
+10.6084/m9.figshare.26648472,Additional file 1 of Dysnatremia at ICU admission and functional outcome of cardiac arrest: insights from four randomised controlled trials,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1: eTable 1. Day-180 survival rates in the four trials according to natremia and plasma osmolality,mds,True,findable,0,0,0,0,0,2024-08-14T09:00:21.000Z,2024-08-14T09:00:22.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Information Systems not elsewhere classified,Cancer,Mental Health,Virology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",['15473 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644288,Additional file 2 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Fig. S2: Impact of perinatal exposure to foodborne TiO2 on the number of pups and male/female ratio. (A and B) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods (A). The number of pups as well as the male ratio per litter have been monitored. Data are expressed as mean ± SEM and were analysed by Student’s t-test. At least n = 8 litters per group.,mds,True,findable,0,0,0,0,0,2024-08-14T07:48:37.000Z,2024-08-14T07:48:38.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['52350 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26594582,"Additional file 3 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Informed consent form.,mds,True,findable,0,0,23,0,0,2024-08-13T17:26:42.000Z,2024-08-13T17:26:43.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['808520 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26594582']]"
+10.6084/m9.figshare.26629135,Additional file 1 of TrisOxine abiotic siderophores for technetium complexation: radiolabeling and biodistribution studies,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Fig. S1. [99mTc]Tc(O-TRENOX)] chromatographic analysis on Whatman 0.16MM paper in a 4:1 Chloroform – Ethanol mixture. Fig. S2. HPLC radiochromatogramm of [99mTc]Tc(O-TRENOX)] (radioactive signal on the top and UV signal on the bottom). Fig. S3. ([99mTc]Tc(O-TRENSOX)] chromatographic analysis on iTLC SG paper with sodium chloride 0.9% (top) and in a 3:2 ethyl-acetate – Methyl ethyl ketone (bottom). Fig. S4. Comparative biodistribution of [99mTc]Tc-O-TRENOX and [99mTc]Tc-O-TRENSOX at each times (30, 60 and 240 minutes) (4 mice per chelate per times) formulated in %ID/g. *: p<0.05; ** p<0.01 and *** p<0.001 [99mTc]Tc-O-TRENOX vs and [99mTc]Tc-O-TRENSOX. Fig. S5. Representative SPECT-CT whole body imaging (sagittal, coronal and transversal views) with [99mTc]Tc-O-TRENOX at 240 min after injection (A) and [99mTc]Tc-O-TRENOX pulmonary uptake function of time from radiolabeling (B). White arrow: small spot in lungs, yellow arrow: liver, green arrow: intestine.",mds,True,findable,0,0,28,0,0,2024-08-14T03:33:49.000Z,2024-08-14T03:33:49.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Cell Biology,Environmental Sciences not elsewhere classified,Chemical Sciences not elsewhere classified","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Chemical Sciences not elsewhere classified'}]",['792543 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26685153,Additional file 4 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 4,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:48.000Z,2024-08-14T23:35:49.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['189796 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.7007054,"Occurrences of post-traumatic stress disorder, anxiety, depression, and burnout syndrome in ICU staff workers after two-year of the COVID-19 pandemic: the international PSY-CO in ICU study",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Purpose The present study aimed at assessing the prevalences of post-traumatic stress disorder (PTSD) (main objective), anxiety, depression, and burnout syndrome (BOS) and their associated factors in intensive care unit (ICU) staff workers in the second year of the COVID-19 pandemic. Materials and methods An international cross-sectional multicenter ICU-based online survey was carried out among the ICU staff workers in 20 ICUs across 3 continents. ICUs staff workers (both caregivers and non-caregivers) were invited to complete PCL-5, HADS, and MBI questionnaires for assessing PTSD, anxiety, depression, and the different components of BOS, respectively. A personal questionnaire was used to isolate independent associated factors with these disorders. Results PCL-5, HADS, and MBI questionnaires were completed by 585, 570, and 539 responders, respectively (525 completed all questionnaires). PTSD was diagnosed in 98/585 responders (16.8%). Changing familial environment, being a non-caregiver staff worker, having not being involved in a COVID-19 patient admission, having not been provided with COVID-19-related information were associated with PTSD. Anxiety was reported in 130/570 responders (22.8%). Working in a public hospital, being a woman, being financially impacted, being a non-clinical healthcare staff member, having no theoretical or practical training on individual preventive measures, and fear of managing COVID-19 patients were associated with anxiety. Depression was reported in 50/570 responders (8.8%). Comorbidity at risk of severe COVID-19, working in a public hospital, looking after a child, being a non-caregiver staff member, having no information, and a request for moving from the unit were associated with depression. Having received no information and no adequate training for COVID-19 patient management were associated with all 3 dimensions of BOS. Conclusion The present study confirmed that ICU staff workers, whether they treated COVID-19 patients or not, have a substantial prevalence of psychological disorders.",mds,True,findable,0,0,0,0,0,2024-08-14T12:26:40.000Z,2024-08-14T12:26:41.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7007054']]"
+10.5281/zenodo.12727358,Quantifying live bacteria in the human skin microbiome reveals reduced interpersonal variability,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Using flow-cytometry and metagenomics, coupled with an upstream pre-processing step to remove relic-DNA (DNA left behind from dead or dying cells) to determine the live population of the skin microbiome. Repository contains important feature tables, counts tables, sequencing preprocessing scripts and feature table analysis scripts.",api,True,findable,0,0,0,0,0,2024-08-14T14:53:09.000Z,2024-08-14T14:53:09.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.12727358']]"
+10.6084/m9.figshare.26685156,Additional file 5 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 5,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:50.000Z,2024-08-14T23:35:51.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['196963 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644309,Additional file 9 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 9. Fig. S9: Physico-chemical characteristics of TiO2 particles. (A) Transmission electron microscopy images of TiO2 particles, recorded on a JEOL 1200EX TEM operating at 80 kV (Grenoble Institut des Neurosciences, Grenoble, France). (B) Size distribution of TiO2 particles in the drinking water, measured via dynamic light scattering on a Malvern nanoZS zetasizer.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:50.000Z,2024-08-14T07:48:50.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['210790 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26531087,Additional file 2 of Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,75,0,0,2024-08-15T21:28:27.000Z,2024-08-15T21:28:27.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",['21969 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26531087']]"
+10.6084/m9.figshare.c.7204785,Plasma ALS and Gal-3BP differentiate early from advanced liver fibrosis in MASLD patients,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is estimated to affect 30% of the world’s population, and its prevalence is increasing in line with obesity. Liver fibrosis is closely related to mortality, making it the most important clinical parameter for MASLD. It is currently assessed by liver biopsy – an invasive procedure that has some limitations. There is thus an urgent need for a reliable non-invasive means to diagnose earlier MASLD stages. Methods A discovery study was performed on 158 plasma samples from histologically-characterised MASLD patients using mass spectrometry (MS)-based quantitative proteomics. Differentially abundant proteins were selected for verification by ELISA in the same cohort. They were subsequently validated in an independent MASLD cohort (n = 200). Results From the 72 proteins differentially abundant between patients with early (F0-2) and advanced fibrosis (F3-4), we selected Insulin-like growth factor-binding protein complex acid labile subunit (ALS) and Galectin-3-binding protein (Gal-3BP) for further study. In our validation cohort, AUROCs with 95% CIs of 0.744 [0.673 – 0.816] and 0.735 [0.661 – 0.81] were obtained for ALS and Gal-3BP, respectively. Combining ALS and Gal-3BP improved the assessment of advanced liver fibrosis, giving an AUROC of 0.796 [0.731. 0.862]. The {ALS; Gal-3BP} model surpassed classic fibrosis panels in predicting advanced liver fibrosis. Conclusions Further investigations with complementary cohorts will be needed to confirm the usefulness of ALS and Gal-3BP individually and in combination with other biomarkers for diagnosis of liver fibrosis. With the availability of ELISA assays, these findings could be rapidly clinically translated, providing direct benefits for patients. Graphical Abstract",mds,True,findable,0,0,0,0,0,2024-08-15T08:19:50.000Z,2024-08-15T08:19:51.000Z,figshare.ars,otjm,"Biochemistry,Space Science,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Cancer,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Biochemistry'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.c.7101349,Insights of undergraduate health sciences students about a French interprofessional training initiative,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Incorporating interprofessional collaboration within healthcare is critical to delivery of patient-centered care. Interprofessional Education (IPE) programs are key to promoting such collaboration. The ‘Public Health Service' (PHS) in France is a mandatory IPE initiative that embodies this collaborative spirit, bringing together students from varied health undergraduate training programs—nursing, physiotherapy, pharmacy, midwifery, and medicine— in a common training program focused on primary prevention. The aim of the study was to assess the experience and attitudes of students in the five health training programs regarding the interest of IPEs in the PHS. Methods A cross-sectional survey was administered to 823 students from the 2022–2023 cohort at a French university. The questionnaire was designed with 12 Likert-scale questions specifically created to evaluate the students' experiences, knowledge, and attitudes focused on IPE during the practical seminars, school interventions, and the overall PHS. Additionally, an open-ended question was utilized to gather qualitative data. Statistical analyses assessed satisfaction levels across undergraduate training programs, while thematic analysis was applied to the qualitative responses. Results Within the surveyed cohort, 344 students responded to the survey. The findings showed that students were satisfied with the interprofessional collaboration, both in practical teaching sessions (75% satisfaction) and in primary prevention projects conducted in schools (70% satisfaction), despite their having faced challenges with coordination. Pharmacy students, in particular, highlighted the need for adjustments in program scheduling. The qualitative feedback underscored the positive value of IPE, notwithstanding the organizational difficulties stemming from different academic timetables. Conclusion The student feedback indicated a high level of satisfaction with the interprofessional work carried out in both the practical teaching and the primary prevention projects. To further enhance the educational impact and address the scheduling complexities, it is recommended that program refinements be made based on student feedback and pedagogical best practices.",mds,True,findable,0,0,0,0,0,2024-08-18T16:15:41.000Z,2024-08-18T16:15:41.000Z,figshare.ars,otjm,"Pharmacology,Biotechnology,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,,,,,
+10.6084/m9.figshare.25284847,Additional file 2 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,0,0,2024-08-14T23:35:45.000Z,2024-08-14T23:35:46.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['114949 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.c.7033012,Early management of adult traumatic spinal cord injury in patients with polytrauma: a consensus and clinical recommendations jointly developed by the World Society of Emergency Surgery (WSES) & the European Association of Neurosurgical Societies (EANS),figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The early management of polytrauma patients with traumatic spinal cord injury (tSCI) is a major challenge. Sparse data is available to provide optimal care in this scenario and worldwide variability in clinical practice has been documented in recent studies. Methods A multidisciplinary consensus panel of physicians selected for their established clinical and scientific expertise in the acute management of tSCI polytrauma patients with different specializations was established. The World Society of Emergency Surgery (WSES) and the European Association of Neurosurgical Societies (EANS) endorsed the consensus, and a modified Delphi approach was adopted. Results A total of 17 statements were proposed and discussed. A consensus was reached generating 17 recommendations (16 strong and 1 weak). Conclusions This consensus provides practical recommendations to support a clinician’s decision making in the management of tSCI polytrauma patients.",mds,True,findable,0,0,0,0,0,2024-08-14T18:42:49.000Z,2024-08-14T18:42:50.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Molecular Biology,Neuroscience,Environmental Sciences not elsewhere classified,Ecology,Information Systems not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Information Systems not elsewhere classified'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7033012']]"
+10.6084/m9.figshare.c.7396296,Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Subsurface microorganisms contribute to important ecosystem services, yet little is known about how the composition of these communities is affected by small scale heterogeneity such as in preferential flow paths including biopores and fractures. This study aimed to provide a more complete characterization of microbial communities from preferential flow paths and matrix sediments of a clayey till to a depth of 400 cm by using 16S rRNA gene and fungal ITS2 amplicon sequencing of environmental DNA. Moreover, shotgun metagenomics was applied to samples from fractures located 150 cm below ground surface (bgs) to investigate the bacterial genomic adaptations resulting from fluctuating exposure to nutrients, oxygen and water. Results The microbial communities changed significantly with depth. In addition, the bacterial/archaeal communities in preferential flow paths were significantly different from those in the adjacent matrix sediments, which was not the case for fungal communities. Preferential flow paths contained higher abundances of 16S rRNA and ITS gene copies than the corresponding matrix sediments and more aerobic bacterial taxa than adjacent matrix sediments at 75 and 150 cm bgs. These findings were linked to higher organic carbon and the connectivity of the flow paths to the topsoil as demonstrated by previous dye tracer experiments. Moreover, bacteria, which were differentially more abundant in the fractures than in the matrix sediment at 150 cm bgs, had higher abundances of carbohydrate active enzymes, and a greater potential for mixotrophic growth. Conclusions Our results demonstrate that the preferential flow paths in the subsurface are unique niches that are closely connected to water flow and the fluctuating ground water table. Although no difference in fungal communities were observed between these two niches, hydraulically active flow paths contained a significantly higher abundance in fungal, archaeal and bacterial taxa. Metagenomic analysis suggests that bacteria in tectonic fractures have the genetic potential to respond to fluctuating oxygen levels and can degrade organic carbon, which should result in their increased participation in subsurface carbon cycling. This increased microbial abundance and activity needs to be considered in future research and modelling efforts of the soil subsurface.",mds,True,findable,0,0,0,0,0,2024-08-18T22:41:29.000Z,2024-08-18T22:41:29.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",,,,,,
+10.6084/m9.figshare.c.7081942,The administration of four-factor prothrombin complex concentrate exacerbates thrombin generation in trauma patients at risk of massive transfusion: an ancillary study of the PROCOAG trial,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,Additional files from The administration of four-factor prothrombin complex concentrate exacerbates thrombin generation in trauma patients at risk of massive transfusion: an ancillary study of the PROCOAG trial,mds,True,findable,0,0,0,0,0,2024-08-14T22:52:42.000Z,2024-08-14T22:52:42.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,,
+10.6084/m9.figshare.26758976,Additional file 5 of Microbial life in preferential flow paths in subsurface clayey till revealed by metataxonomy and metagenomics,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 5,mds,True,findable,0,0,75,0,0,2024-08-15T21:28:34.000Z,2024-08-15T21:28:34.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Genetics","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}]",['25794 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26758976']]"
+10.5281/zenodo.7447726,"Numerical simulations of the latest caldera-forming eruption of Okmok volcano, Alaska",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Raw outputs of the numerical simulations of an explosive volcanic eruption.
+
+The file ""source.zip"" includes all the source files modified compared to the defaultMFIX 2016-1 files (www.mfix.netl.doe.gov, v.2016). It also includes an example of the input file mfix.dat (run 3). Theseare raw file intended for enabling result reproductibility. They contain unused optional variables and are not intented (and commented) to serve as tutorials. Thesubfolder ""postmfix"" includes the source file for option 6 of the post processingprogram. Some options are user-defined, and others are hard coded.
+
+The file ""AllRuns.zip"" inculde all the Okmok runs. All runs were generated with MFIX 2016-1 in TFM mode. They are organized in folders corresponding to the namingconvention of Table 1. Some runs were generated in several sequences (e.g., 0-300 s,then 300-700 s) that were stitched into a single output bundle. Other sequences werekept separated.
+
+The files OK.RES can be openend with Paraview >5.6 and selecting the MFIXReader.
+
+The variables are:
+
+EP_g = Gas volume fractionGas Velocity = Gas velocity vector (m/s)P_g = Pressure (Pa)P_star = Solid pressure (Pa)ROP_s_m = Solid density times particle volume fraction of solid phase m (kg/m3)RRates_1 = Gas density (kg/m3)RRates_2 = Gas viscosity (Pa s)Solids_Velocity_x = Velocity vector of solid phase x (m/s)T_g = Gas temperature (K)T_s_x = Temperature of solid phase x (K)Theta_m_x = Granular temperature of solid phase x (m2/s2)U_g = Horizontal component of gas velocity (m/s)V_g = Vertical component of gas velocity (m/s)W_g = Z component of gas velocity (0 because axisymmetric domain)U_s_x = Horizontal component of velocity of solid phase x (m/s)V_s_x = Vertical component of velocity of solid phase x (m/s)W_s_x = Z component of velocity of solid phase x (0 because axisymmetric domain)X_g_x, X_s_x = unusedk_turb_g (not always recorded) = Turbulent kinetic energy (J/kg)e_turb_g = duplicate of k_turb_g
+
+Refer to the MFIX documentation for more details on the format and on the model itself.
+
+ ",api,True,findable,0,0,0,0,0,2024-08-12T12:09:17.000Z,2024-08-12T12:09:18.000Z,cern.zenodo,cern,Volcanology,"[{'subject': 'Volcanology', 'subjectScheme': 'EuroSciVoc'}]",,,,,"['IsPublishedIn', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.7447726']]"
+10.6084/m9.figshare.c.7011735,"Vitamin E-enriched medium cross-linked polyethylene in total knee arthroplasty (VIKEP): clinical outcome, oxidation profile, and wear analysis in comparison to standard polyethylene—study protocol for a randomized controlled trial",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The gliding surface of total knee endoprostheses is exposed to high loads due to patient weight and activity. These implant components are typically manufactured from ultra-high molecular weight polyethylene (UHMWPE). Crosslinking of UHMWPE by ionizing radiation results in higher wear resistance but induces the formation of free radicals which impair mechanical properties after contact with oxygen. Medium-crosslinked UHMWPE enriched with vitamin E (MXE) provides a balance between the parameters for a sustainable gliding surface, i.e., mechanical strength, wear resistance, particle size, and oxidation stability. Therefore, a gliding surface for knee endoprostheses made up from this material was developed, certified, and launched. The aim of this study is to compare this new gliding surface to the established predecessor in a non-inferiority design. Methods This multicenter, binational randomized controlled trial will enroll patients with knee osteoarthritis eligible for knee arthroplasty with the index device. Patients will be treated with a knee endoprosthesis with either MXE or a standard gliding surface. Patients will be blinded regarding their treatment. After implantation of the devices, patients will be followed up for 10 years. Besides clinical and patient-related outcomes, radiological data will be collected. In case of revision, the gliding surface will be analyzed biomechanically and regarding the oxidative profile. Discussion The comparison between MXE and the standard gliding surface in this study will provide clinical data to confirm preceding biomechanical results in vivo. It is assumed that material-related differences will be identified, i.e., that the new material will be less sensitive to wear and creep. This may become obvious in biomechanical analyses of retrieved implants from revised patients and in radiologic analyses. Trial registration ClinicalTrials.gov, NCT04618016. Registered 27 October 2020, https://clinicaltrials.gov/study/NCT04618016?term=vikep&checkSpell=false&rank=1 . All items from the World Health Organization Trial Registration Data Set can be found in Additional file 1.",mds,True,findable,0,0,0,0,0,2024-08-18T15:48:54.000Z,2024-08-18T15:48:55.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,Cancer,Hematology,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Virology'}]",,,,,,
+10.6084/m9.figshare.26626966,Additional file 1 of Prognosis of critically ill immunocompromised patients with virus-detected acute respiratory failure,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Figure S1. Center effect study on hospital mortality rate (panel A), bronchoalveolar lavage (panel B), and nasopharyngeal aspiration (panel C) procedure; Figure S2. Temporal changes in mortality (Panel A), first-line oxygenation/ventilation strategy (Panel B), and virus detection (Panel C) across years; Figure S3. Distribution of virus species according to immunosuppression; Figure S4. Crude mortality rate according to virus species; Figure S5. Absolute standardized mean difference between patients with and without virus-associated acute respiratory failure, before and after matching. Table S1. Overview of investigational procedures performed in the whole cohort and the respiratory-virus cohort; Table S2. Description of radiological pattern in critically-ill patients with virus-associated acute respiratory failure; Table S3. Clinical characteristics and outcomes comparisons across patients with respiratory syncytial virus or Influenza infection; Table S4. Description of documented bacterial co-infections; Table S5. Clinical characteristics, risk factors, and results from investigational procedures in 23 patients with virus-detected respiratory failure and documented invasive pulmonary aspergillosis; Table S6. Pair matched odds ratio for hospital mortality according to diagnosis category, taking into account co-infections; Table S7. Pair matched odds ratio for hospital mortality according to diagnosis category after excluding patients with bacterial pneumonia; Table S8. Factors associated with in-hospital mortality in 370 critically ill immunocompromised patients with virus-detected acute respiratory failure taking into account co-infections",mds,True,findable,0,0,41,0,0,2024-08-14T02:57:49.000Z,2024-08-14T02:57:50.000Z,figshare.ars,otjm,"Space Science,Medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['4519412 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26626966']]"
+10.5281/zenodo.11562538,Feasibility of peak temperature targets in light of institutional constraints,Zenodo,2024,en,Dataset,IAMC-License,"Download information: Please do not request a data download here.
+
+Rather, the data is available for download at the ENGAGE Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/engage/#/downloads. In order to download click on Guest login. You will be forwarded to the downloads page. At the bottom of the downloads page you can download the data under the name: ENGAGE Feasibility of peak temperature targets in light of institutional constraints (DOI: 10.5281/zenodo.11562539).
+
+The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.
+
+Data set description
+
+This data set includes global climate change mitigation scenarios as summarized by Bertram et al., 2024. The scenarios are developed as part of the ENGAGE project, and explore a wide set of dedicated feasibility assumptions along the institutional, technological, geophysical, and socio-cultural dimensions. In terms of mitigation ambition, the study follows the ""net-zero budget"" approach from Riahi et al. 2021 and contrasts both a below 2°C scenario (defined as 1000 Gt CO2 from 2018 until reaching net-zero CO2 emissions globally), and a scenario exploring the lowest possible peak temperature (aiming for a 550 Gt CO2 net-zero budget). 
+
+Author Contributions
+
+C.B., E.B. and K.R. designed the study with input by L.D., E.K., G.L., B.v.R., R.S., D.v.V. and Z.V.; E.B. and C.B. prepared the governance input data for the IAMs; C.B., E.B., L.D., B.v.R., L.A.R., L.B.B., H.-S.d.B., V.D., F.F., D.F., O.F., S.F., K.K., V.K., R.M., P.R., R.S., D.S., I.T. and Z.V. produced the IAM scenario results; R.C., G.I. and N.H. provided a review of results and framing; R.D.L. and J.R. provided temperature probabilities as a function of carbon budgets; C.B. performed the data analysis and produced the plots with input by E.B. and L.D.; C.B. wrote the first draft and all authors contributed to writing the paper.
+
+Acknowledgments
+
+This research received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 821471 (ENGAGE) (C.B., E.B., L.D., G.L., B.v.R., L.A.R., L.B.B., H.-S.d.B., R.C., V.D., F.F., D.F., O.F., S.F., N.H., G.I., K.K., V.K., E.K., R.D.L., R.M., P.R., J.R., R.S., D.S., I.T., D.v.V., Z.V., K.R.). We thank A. Cherp for permission to use Figure 2 , the entire modelling teams for the development of the used IAMs and participants of the IAMC 2023 conference for helpful feedback. S.F. and D.S. are supported by the Environment Research and Technology Development Fund (JPMEERF20241001) of the Environmental Restoration and Conservation Agency of Japan and JST ASPIRE project grant number JPMJAP2331.",api,True,findable,0,0,0,0,0,2024-08-12T10:01:25.000Z,2024-08-12T10:01:26.000Z,cern.zenodo,cern,,,,,,,"['IsDescribedBy', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.11562538']]"
+10.6084/m9.figshare.26644285,Additional file 1 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Fig. S1: Impact of perinatal exposure to foodborne TiO2 on the composition of chemical element of fœtus, spleen and liver from females and pups. (A-C) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. Then pregnant and lactating females exposed to TiO2 or not, have been sacrificed and elemental concentrations have been monitored by ICP-MS in spleen and liver from females (A; end of the weaning days 30), in embryos (B; gestational days 20), and in liver from pup (C; postnatal day 12). Data are expressed as mean ± SEM and were analysed by Student’s t-test. *p < 0.05 vs. control group. At least n = 5 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:36.000Z,2024-08-14T07:48:36.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['141772 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.6084/m9.figshare.26644294,Additional file 4 of Perinatal foodborne titanium dioxide exposure-mediated dysbiosis predisposes mice to develop colitis through life,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 4. Fig. S4: Impact of perinatal exposure to foodborne TiO2 on colonic epithelium at day 50. (A-D) Wild type female mice have been exposed to TiO2 (9 mg/Kg of BW/Day) during the perinatal period including gestational and lactating periods. Weaning pups were also exposed to TiO2 (9 mg/Kg of BW/Day) until day 50 after birth (A-D). Then at day 50 after birth, pups have been sacrificed and several parameters including permeability (A and B), mRNA expression (C and D), abilities of intestinal stem cells to survive (E) and proliferate (F), oxidative stress (G) and DNA methylation (H) were assessed. (A) In vivo permeability was determined by measuring the level of plasmatic FITC-dextran 4 kDa, 3 h following oral administration. (B) Colonic permeability was monitored by measuring the flux of FITC-dextran 4 kDa across colonic biopsies mounted in Ussing chamber for 1 h. (C) mRNA expression of Occludin (Ocl), Claudin 2 (Cldn 2) Tight junction protein 1 (Tpj1) and myosin light chain kinase (Mlck) was studied at day 50 after birth. (D) Colonic mRNA expression of CD44, Leucine-rich repeat-containing G-protein coupled receptor 5 (Lgr5), Olfactome-din 4 (Olfm4), SPARC-related modular calcium-binding protein 2 (Smoc2), Achaete-scute complex homolog 2 (Ascl2), Musashi RNA-binding protein 1 (Musashi), Telomerase reverse transcriptase (Tert) and B lymphoma Mo-MLV insertion region 1 homolog (Bmi1), homeodomain-only protein homeobox (Hopx), canonical (Wnt3a) and non-canonical (Wnt5a). (E) The organoid survival has been monitored by measuring the percentage of viable organoids according to the time culture. (F) The organoid growth has been studied by measuring the organoid surface according to the time culture. (G) Oxidative stress has been monitored into the epithelial cells from the colonic based crypt of mice perinatally exposed or not to TiO2. (H) The quantity of cytosine methylated of DNA from the epithelial cells from the colonic based crypt of mice perinatally exposed or not to TiO2. Data are expressed as mean ± SEM and were analysed by Student’s t-test. *p < 0.05; **p < 0.01 and ***p < 0.001 vs control group. At least n = 8 per group.",mds,True,findable,0,0,0,0,0,2024-08-14T07:48:41.000Z,2024-08-14T07:48:42.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Chemical Sciences not elsewhere classified,Science Policy,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}]",['275601 Bytes'],,,,"['IsIdenticalTo', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']","[['IsIdenticalTo', '10.6084/m9.figshare.26644294']]"
+10.5281/zenodo.13318559,Kinematic and neuromuscular characterization of cognitive involvement in gait control in healthy young adults,Zenodo,2024,,Other,Creative Commons Attribution 4.0 International,"The signature of cognitive involvement in gait control has rarely been studied using both kinematic and neuromuscular features. The present study aimed to address this gap. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudorandom oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). Subjective mental workload (raw NASA-TLX), cognitive performance (mean reaction time and d-prime), kinematic (steadiness, variability and complexity in the mediolateral and anteroposterior directions) and neuromuscular (duration and variability of motor primitives) control of gait were assessed. The cognitive performance and the number and composition of motor modules were unaffected by simultaneous walking, regardless of the optic flow condition. Kinematic and neuromuscular variability was greater under POF compared to NOF conditions. Young adults sought to counteract POF by rapidly correcting task-relevant gait fluctuations. The depletion of cognitive resources through dual-tasking led to reduced kinematic and neuromuscular variability and this occurred to the same extent regardless of simultaneous working memory (WM) load. Increasing WM load led to a prioritization of gait control in the mediolateral direction over the anteroposterior direction. The impact of POF on kinematic variability (step velocity) was reduced when a cognitive task was performed simultaneously, but this phenomenon was no modulated by WM load. Collectively, these results shed important light on how young adults adjust the processes involved in goal-directed locomotion when exposed to varying levels of task and environmental constraints.",api,True,findable,0,0,0,1,0,2024-08-16T13:23:51.000Z,2024-08-16T13:23:51.000Z,cern.zenodo,cern,"gait,lateral balance,muscle activity,variability,Nonlinear dynamics,executive function","[{'subject': 'gait'}, {'subject': 'lateral balance'}, {'subject': 'muscle activity'}, {'subject': 'variability'}, {'subject': 'Nonlinear dynamics'}, {'subject': 'executive function'}]",,,,,"['IsCitedBy', 'IsDerivedFrom', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13318559']]"
+10.6084/m9.figshare.26729362,Additional file 1 of “Let’s put it this way: you can’t really live without it” - digital technologies in routine palliative care delivery: an explorative qualitative study with patients and their family caregivers in Germany,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2024-08-15T13:02:37.000Z,2024-08-15T13:02:38.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Cancer,Mental Health","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}]",['22341 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",
+10.12686/eshm20-main-datasets,Main Datasets of the 2020 Update of the European Seismic Hazard Model (ESHM20),EFEHR European Facilities of Earthquake Hazard and Risk,2021,en,Dataset,Creative Commons Attribution 4.0 International,"This folder contains the main components of the ESHM20. Data format is ESRI shapefiles, and the main attributes are described in
+Appendix A of the ESHM20 report (Danciu et al 2021):
+
+- unified earthquake catalog
+- the completeness zones (used to determine the magnitude of completeness M<sub>c</sub>) 
+- tectonic source zones for the shallow crust model
+
+- area source zones for the shallow crust model
+- shallow crust fault model
+- subduction source models
+- smoothed seismicity model
+- polygons that define regions used to split the smoothed seismicity grid for the calculations. 
+- buffer that surrounds the fault models, used to determine which smoothed-seismicity grid-points are impacted by each fault
+- tectonic source zones for the deep model
+- area source zones for the deep model
+- area source zones for the shallow volcanic model
+- tectonic source zones for the Iceland model
+- area source zones for the Iceland model",fabricaForm,True,findable,0,0,1,0,0,2024-08-08T14:26:26.000Z,2024-08-12T14:30:08.000Z,ethz.sed,stdp,"European Seismic Hazard Models,Probabilistic Seismic Hazard Models,Ground Shaking Hazard,Active Faults,Earthquake Catalogue,European Facilities of Earthquake Hazard and Risk,Seismogenic Sources,Earthquake Rate Forecast","[{'subject': 'European Seismic Hazard Models'}, {'subject': 'Probabilistic Seismic Hazard Models'}, {'subject': 'Ground Shaking Hazard'}, {'subject': 'Active Faults'}, {'subject': 'Earthquake Catalogue'}, {'subject': 'European Facilities of Earthquake Hazard and Risk'}, {'subject': 'Seismogenic Sources'}, {'subject': 'Earthquake Rate Forecast'}]",['529MB'],['application/x-shapefile'],,,['IsDocumentedBy'],