- home
- Advanced Search
- Digital Humanities and Cultural Heritage
- Publications
- Research data
- Other research products
- FR
- Europe PubMed Central
- Digital Humanities and Cultural Heritage
- Publications
- Research data
- Other research products
- FR
- Europe PubMed Central
Loading
description Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 France, United StatesPublisher:Cold Spring Harbor Laboratory Funded by:EC | SHARE-COHESION, ANR | FrontCog, ANR | NeurATRIS +13 projectsEC| SHARE-COHESION ,ANR| FrontCog ,ANR| NeurATRIS ,EC| SSHOC ,NIH| English Longitudinal Study of Ageing ,NIH| Advancing Psychosocial and Biobehavioral Stress Measurement to Understanding Aging ,EC| DASISH ,EC| SHARE-DEV3 ,EC| SHARE_LEAP ,EC| SERISS ,NIH| Mega Meta Data Set of the Health and Retirement Surveys Around the World ,EC| SHARE_M4 ,EC| SHARE-PREP ,NIH| Integrating Information about Aging Surveys ,NIH| FINANCIAL STATUS--RETIREMENT SAVING PROGRAMS ,NIH| Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaAmin Gharbi-Meliani; François Husson; Henri Vandendriessche; Eleonore Bayen; Kristine Yaffe; Anne-Catherine Bachoud-Lévi; Laurent Cleret de Langavant;pmc: PMC9980227 , PMC10688099
Abstract Background Dementia is defined as a cognitive decline that affects functional status. Longitudinal ageing surveys often lack a clinical diagnosis of dementia though measure cognition and daily function over time. We used unsupervised machine learning and longitudinal data to identify transition to probable dementia. Methods Multiple Factor Analysis was applied to longitudinal function and cognitive data of 15,278 baseline participants (aged 50 years and more) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) (waves 1, 2 and 4–7, between 2004 and 2017). Hierarchical Clustering on Principal Components discriminated three clusters at each wave. We estimated probable or “Likely Dementia” prevalence by sex and age, and assessed whether dementia risk factors increased the risk of being assigned probable dementia status using multistate models. Next, we compared the “Likely Dementia” cluster with self-reported dementia status and replicated our findings in the English Longitudinal Study of Ageing (ELSA) cohort (waves 1–9, between 2002 and 2019, 7840 participants at baseline). Results Our algorithm identified a higher number of probable dementia cases compared with self-reported cases and showed good discriminative power across all waves (AUC ranged from 0.754 [0.722–0.787] to 0.830 [0.800–0.861]). “Likely Dementia” status was more prevalent in older people, displayed a 2:1 female/male ratio, and was associated with nine factors that increased risk of transition to dementia: low education, hearing loss, hypertension, drinking, smoking, depression, social isolation, physical inactivity, diabetes, and obesity. Results were replicated in ELSA cohort with good accuracy. Conclusions Machine learning clustering can be used to study dementia determinants and outcomes in longitudinal population ageing surveys in which dementia clinical diagnosis is lacking. International audience
eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaAlzheimer’s Research & TherapyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2023.02.17.23286078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaAlzheimer’s Research & TherapyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2023.02.17.23286078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Elsevier BV Funded by:NIH | Cost Effective, Synergist...NIH| Cost Effective, Synergistic Macromolecular Structure Determination, Analysis & SimulationAuthors: John P. A. Ioannidis; Francesco Zonta; Michael Levitt;John P. A. Ioannidis; Francesco Zonta; Michael Levitt;AbstractSeveral teams have been publishing global estimates of excess deaths during the COVID‐19 pandemic. Here, we examine potential flaws and underappreciated sources of uncertainty in global excess death calculations. Adjusting for changing population age structure is essential. Otherwise, excess deaths are markedly overestimated in countries with increasingly aging populations. Adjusting for changes in other high‐risk indicators, such as residence in long‐term facilities, may also make a difference. Death registration is highly incomplete in most countries; completeness corrections should allow for substantial uncertainty and consider that completeness may have changed during pandemic years. Excess death estimates have high sensitivity to modelling choice. Therefore different options should be considered and the full range of results should be shown for different choices of pre‐pandemic reference periods and imposed models. Any post‐modelling corrections in specific countries should be guided by pre‐specified rules. Modelling of all‐cause mortality (ACM) in countries that have ACM data and extrapolating these models to other countries is precarious; models may lack transportability. Existing global excess death estimates underestimate the overall uncertainty that is multiplicative across diverse sources of uncertainty. Informative excess death estimates require risk stratification, including age groups and ethnic/racial strata. Data to‐date suggest a death deficit among children during the pandemic and marked socioeconomic differences in deaths, widening inequalities. Finally, causal explanations require great caution in disentangling SARS‐CoV‐2 deaths, indirect pandemic effects and effects from measures taken. We conclude that excess deaths have many uncertainties, but globally deaths from SARS‐CoV‐2 may be the minority of calculated excess deaths.
Europe PubMed Centra... arrow_drop_down European Journal of Clinical InvestigationArticle . 2023 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4342889&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down European Journal of Clinical InvestigationArticle . 2023 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4342889&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:Oxford University Press (OUP) Pierre J Chambon; Christopher Wu; Jackson M Steinkamp; Jason Adleberg; Tessa S Cook; Curtis P Langlotz;Abstract Objective To develop an automated deidentification pipeline for radiology reports that detect protected health information (PHI) entities and replaces them with realistic surrogates “hiding in plain sight.” Materials and Methods In this retrospective study, 999 chest X-ray and CT reports collected between November 2019 and November 2020 were annotated for PHI at the token level and combined with 3001 X-rays and 2193 medical notes previously labeled, forming a large multi-institutional and cross-domain dataset of 6193 documents. Two radiology test sets, from a known and a new institution, as well as i2b2 2006 and 2014 test sets, served as an evaluation set to estimate model performance and to compare it with previously released deidentification tools. Several PHI detection models were developed based on different training datasets, fine-tuning approaches and data augmentation techniques, and a synthetic PHI generation algorithm. These models were compared using metrics such as precision, recall and F1 score, as well as paired samples Wilcoxon tests. Results Our best PHI detection model achieves 97.9 F1 score on radiology reports from a known institution, 99.6 from a new institution, 99.5 on i2b2 2006, and 98.9 on i2b2 2014. On reports from a known institution, it achieves 99.1 recall of detecting the core of each PHI span. Discussion Our model outperforms all deidentifiers it was compared to on all test sets as well as human labelers on i2b2 2014 data. It enables accurate and automatic deidentification of radiology reports. Conclusions A transformer-based deidentification pipeline can achieve state-of-the-art performance for deidentifying radiology reports and other medical documents.
Europe PubMed Centra... arrow_drop_down Journal of the American Medical Informatics AssociationArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jamia/ocac219&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Journal of the American Medical Informatics AssociationArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jamia/ocac219&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Bulgaria, Turkey, Italy, CroatiaPublisher:American Association for the Advancement of Science (AAAS) Funded by:UKRI | RootDetect: Remote Detect..., NIH | Advanced tools for using ..., NIH | Population mixture in evo...UKRI| RootDetect: Remote Detection and Precision Management of Root Health ,NIH| Advanced tools for using ancient DNA to study biology and history ,NIH| Population mixture in evolutionary and medical geneticsIosif Lazaridis; Songül Alpaslan-Roodenberg; Ayşe Acar; Ayşen Açıkkol; Anagnostis Agelarakis; Levon Aghikyan; Uğur Akyüz; Desislava Andreeva; Gojko Andrijašević; Dragana Antonović; Ian Armit; Alper Atmaca; Pavel Avetisyan; Ahmet İhsan Aytek; Krum Bacvarov; Ruben Badalyan; Stefan Bakardzhiev; Jacqueline Balen; Lorenc Bejko; Rebecca Bernardos; Andreas Bertsatos; Hanifi Biber; Ahmet Bilir; Mario Bodružić; Michelle Bonogofsky; Clive Bonsall; Dušan Borić; Nikola Borovinić; Guillermo Bravo Morante; Katharina Buttinger; Kim Callan; Francesca Candilio; Mario Carić; Olivia Cheronet; Stefan Chohadzhiev; Maria-Eleni Chovalopoulou; Stella Chryssoulaki; Ion Ciobanu; Natalija Čondić; Mihai Constantinescu; Emanuela Cristiani; Brendan J. Culleton; Elizabeth Curtis; Jack Davis; Ruben Davtyan; Tatiana I. Demcenco; Valentin Dergachev; Zafer Derin; Sylvia Deskaj; Seda Devejyan; Vojislav Djordjević; Kellie Sara Duffett Carlson; Laurie R. Eccles; Nedko Elenski; Atilla Engin; Nihat Erdoğan; Sabiha Erir-Pazarcı; Daniel M. Fernandes; Matthew Ferry; Suzanne Freilich; Alin Frînculeasa; Michael L. Galaty; Beatriz Gamarra; Boris Gasparyan; Bisserka Gaydarska; Elif Genç; Timur Gültekin; Serkan Gündüz; Tamás Hajdu; Volker Heyd; Suren Hobosyan; Nelli Hovhannisyan; Iliya Iliev; Lora Iliev; Stanislav Iliev; İlkay İvgin; Ivor Janković; Lence Jovanova; Panagiotis Karkanas; Berna Kavaz-Kındığılı; Esra Hilal Kaya; Denise Keating; Douglas J. Kennett; Seda Deniz Kesici; Anahit Khudaverdyan; Krisztián Kiss; Sinan Kılıç; Paul Klostermann; Sinem Kostak Boca Negra Valdes; Saša Kovačević; Marta Krenz-Niedbała; Maja Krznarić Škrivanko; Rovena Kurti; Pasko Kuzman; Ann Marie Lawson; Catalin Lazar; Krassimir Leshtakov; Thomas E. Levy; Ioannis Liritzis; Kirsi O. Lorentz; Sylwia Łukasik; Matthew Mah; Swapan Mallick; Kirsten Mandl; Kristine Martirosyan-Olshansky; Roger Matthews; Wendy Matthews; Kathleen McSweeney; Varduhi Melikyan; Adam Micco; Megan Michel; Lidija Milašinović; Alissa Mittnik; Janet M. Monge; Georgi Nekhrizov; Rebecca Nicholls; Alexey G. Nikitin; Vassil Nikolov; Mario Novak; Iñigo Olalde; Jonas Oppenheimer; Anna Osterholtz; Celal Özdemir; Kadir Toykan Özdoğan; Nurettin Öztürk; Nikos Papadimitriou; Niki Papakonstantinou; Anastasia Papathanasiou; Lujana Paraman; Evgeny G. Paskary; Nick Patterson; Ilian Petrakiev; Levon Petrosyan; Vanya Petrova; Anna Philippa-Touchais; Ashot Piliposyan; Nada Pocuca Kuzman; Hrvoje Potrebica; Bianca Preda-Bălănică; Zrinka Premužić; T. Douglas Price; Lijun Qiu; Siniša Radović; Kamal Raeuf Aziz; Petra Rajić Šikanjić; Kamal Rasheed Raheem; Sergei Razumov; Amy Richardson; Jacob Roodenberg; Rudenc Ruka; Victoria Russeva; Mustafa Şahin; Ayşegül Şarbak; Emre Savaş; Constanze Schattke; Lynne Schepartz; Tayfun Selçuk; Ayla Sevim-Erol; Michel Shamoon-Pour; Henry M. Shephard; Athanasios Sideris; Angela Simalcsik; Hakob Simonyan; Vitalij Sinika; Kendra Sirak; Ghenadie Sirbu; Mario Šlaus; Andrei Soficaru; Bilal Söğüt; Arkadiusz Sołtysiak; Çilem Sönmez-Sözer; Maria Stathi; Martin Steskal; Kristin Stewardson; Sharon Stocker; Fadime Suata-Alpaslan; Alexander Suvorov; Anna Szécsényi-Nagy; Tamás Szeniczey; Nikolai Telnov; Strahil Temov; Nadezhda Todorova; Ulsi Tota; Gilles Touchais; Sevi Triantaphyllou; Atila Türker; Marina Ugarković; Todor Valchev; Fanica Veljanovska; Zlatko Videvski; Cristian Virag; Anna Wagner; Sam Walsh; Piotr Włodarczak; J. Noah Workman; Aram Yardumian; Evgenii Yarovoy; Alper Yener Yavuz; Hakan Yılmaz; Fatma Zalzala; Anna Zettl; Zhao Zhang; Rafet Çavuşoğlu; Ron Pinhasi; David Reich;We present the first ancient DNA data from the Pre-Pottery Neolithic of Mesopotamia (Southeastern Turkey and Northern Iraq), Cyprus, and the Northwestern Zagros, along with the first data from Neolithic Armenia. We show that these and neighboring populations were formed through admixture of pre-Neolithic sources related to Anatolian, Caucasus, and Levantine hunter-gatherers, forming a Neolithic continuum of ancestry mirroring the geography of West Asia. By analyzing Pre-Pottery and Pottery Neolithic populations of Anatolia, we show that the former were derived from admixture between Mesopotamian-related and local Epipaleolithic-related sources, but the latter experienced additional Levantine-related gene flow, thus documenting at least two pulses of migration from the Fertile Crescent heartland to the early farmers of Anatolia. The newly reported dataset is described in detail in an accompanying Research Article, where we also acknowledge the funders who supported dataset generation (12). Analysis of data was supported by the National Institutes of Health (GM100233 and HG012287), the John Templeton Foundation (grant 61220), a private gift from Jean-Francois Clin, the Allen Discovery Center program, a Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation, and the Howard Hughes Medical Institute (D.R.). National Institutes of Health [GM100233, HG012287]; John Templeton Foundation [61220]; Allen Discovery Center program; Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation; Howard Hughes Medical Institute
Europe PubMed Centra... arrow_drop_down Ege University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0762&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Ege University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0762&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Bulgaria, Croatia, Italy, TurkeyPublisher:American Association for the Advancement of Science (AAAS) Funded by:UKRI | RootDetect: Remote Detect..., NIH | Population mixture in evo...UKRI| RootDetect: Remote Detection and Precision Management of Root Health ,NIH| Population mixture in evolutionary and medical geneticsIosif Lazaridis; Songül Alpaslan-Roodenberg; Ayşe Acar; Ayşen Açıkkol; Anagnostis Agelarakis; Levon Aghikyan; Uğur Akyüz; Desislava Andreeva; Gojko Andrijašević; Dragana Antonović; Ian Armit; Alper Atmaca; Pavel Avetisyan; Ahmet İhsan Aytek; Krum Bacvarov; Ruben Badalyan; Stefan Bakardzhiev; Jacqueline Balen; Lorenc Bejko; Rebecca Bernardos; Andreas Bertsatos; Hanifi Biber; Ahmet Bilir; Mario Bodružić; Michelle Bonogofsky; Clive Bonsall; Dušan Borić; Nikola Borovinić; Guillermo Bravo Morante; Katharina Buttinger; Kim Callan; Francesca Candilio; Mario Carić; Olivia Cheronet; Stefan Chohadzhiev; Maria-Eleni Chovalopoulou; Stella Chryssoulaki; Ion Ciobanu; Natalija Čondić; Mihai Constantinescu; Emanuela Cristiani; Brendan J. Culleton; Elizabeth Curtis; Jack Davis; Ruben Davtyan; Tatiana I. Demcenco; Valentin Dergachev; Zafer Derin; Sylvia Deskaj; Seda Devejyan; Vojislav Djordjević; Kellie Sara Duffett Carlson; Laurie R. Eccles; Nedko Elenski; Atilla Engin; Nihat Erdoğan; Sabiha Erir-Pazarcı; Daniel M. Fernandes; Matthew Ferry; Suzanne Freilich; Alin Frînculeasa; Michael L. Galaty; Beatriz Gamarra; Boris Gasparyan; Bisserka Gaydarska; Elif Genç; Timur Gültekin; Serkan Gündüz; Tamás Hajdu; Volker Heyd; Suren Hobosyan; Nelli Hovhannisyan; Iliya Iliev; Lora Iliev; Stanislav Iliev; İlkay İvgin; Ivor Janković; Lence Jovanova; Panagiotis Karkanas; Berna Kavaz-Kındığılı; Esra Hilal Kaya; Denise Keating; Douglas J. Kennett; Seda Deniz Kesici; Anahit Khudaverdyan; Krisztián Kiss; Sinan Kılıç; Paul Klostermann; Sinem Kostak Boca Negra Valdes; Saša Kovačević; Marta Krenz-Niedbała; Maja Krznarić Škrivanko; Rovena Kurti; Pasko Kuzman; Ann Marie Lawson; Catalin Lazar; Krassimir Leshtakov; Thomas E. Levy; Ioannis Liritzis; Kirsi O. Lorentz; Sylwia Łukasik; Matthew Mah; Swapan Mallick; Kirsten Mandl; Kristine Martirosyan-Olshansky; Roger Matthews; Wendy Matthews; Kathleen McSweeney; Varduhi Melikyan; Adam Micco; Megan Michel; Lidija Milašinović; Alissa Mittnik; Janet M. Monge; Georgi Nekhrizov; Rebecca Nicholls; Alexey G. Nikitin; Vassil Nikolov; Mario Novak; Iñigo Olalde; Jonas Oppenheimer; Anna Osterholtz; Celal Özdemir; Kadir Toykan Özdoğan; Nurettin Öztürk; Nikos Papadimitriou; Niki Papakonstantinou; Anastasia Papathanasiou; Lujana Paraman; Evgeny G. Paskary; Nick Patterson; Ilian Petrakiev; Levon Petrosyan; Vanya Petrova; Anna Philippa-Touchais; Ashot Piliposyan; Nada Pocuca Kuzman; Hrvoje Potrebica; Bianca Preda-Bălănică; Zrinka Premužić; T. Douglas Price; Lijun Qiu; Siniša Radović; Kamal Raeuf Aziz; Petra Rajić Šikanjić; Kamal Rasheed Raheem; Sergei Razumov; Amy Richardson; Jacob Roodenberg; Rudenc Ruka; Victoria Russeva; Mustafa Şahin; Ayşegül Şarbak; Emre Savaş; Constanze Schattke; Lynne Schepartz; Tayfun Selçuk; Ayla Sevim-Erol; Michel Shamoon-Pour; Henry M. Shephard; Athanasios Sideris; Angela Simalcsik; Hakob Simonyan; Vitalij Sinika; Kendra Sirak; Ghenadie Sirbu; Mario Šlaus; Andrei Soficaru; Bilal Söğüt; Arkadiusz Sołtysiak; Çilem Sönmez-Sözer; Maria Stathi; Martin Steskal; Kristin Stewardson; Sharon Stocker; Fadime Suata-Alpaslan; Alexander Suvorov; Anna Szécsényi-Nagy; Tamás Szeniczey; Nikolai Telnov; Strahil Temov; Nadezhda Todorova; Ulsi Tota; Gilles Touchais; Sevi Triantaphyllou; Atila Türker; Marina Ugarković; Todor Valchev; Fanica Veljanovska; Zlatko Videvski; Cristian Virag; Anna Wagner; Sam Walsh; Piotr Włodarczak; J. Noah Workman; Aram Yardumian; Evgenii Yarovoy; Alper Yener Yavuz; Hakan Yılmaz; Fatma Zalzala; Anna Zettl; Zhao Zhang; Rafet Çavuşoğlu; Ron Pinhasi; David Reich;pmc: PMC10019558
handle: 11499/46933 , 11454/77626 , 11573/1681329
Literary and archaeological sources have preserved a rich history of Southern Europe and West Asia since the Bronze Age that can be complemented by genetics. Mycenaean period elites in Greece did not differ from the general population and included both people with some steppe ancestry and others, like the Griffin Warrior, without it. Similarly, people in the central area of the Urartian Kingdom around Lake Van lacked the steppe ancestry characteristic of the kingdom's northern provinces. Anatolia exhibited extraordinary continuity down to the Roman and Byzantine periods, with its people serving as the demographic core of much of the Roman Empire, including the city of Rome itself. During medieval times, migrations associated with Slavic and Turkic speakers profoundly affected the region. The newly reported dataset is described in detail in an accompanying manuscript, where we also acknowledge the funders who supported dataset generation (1). Analysis of data was supported by the National Institutes of Health (GM100233 and HG012287), the John Templeton Foundation (grant 61220), a private gift from Jean-Francois Clin, the Allen Discovery Center program, a Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation, and the Howard Hughes Medical Institute (to D.R.). National Institutes of Health [GM100233, HG012287]; John Templeton Foundation [61220]; Allen Discovery Center program; Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation; Howard Hughes Medical Institute
Pamukkale GCRIS Data... arrow_drop_down Ege University Institutional RepositoryArticle . 2023 . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2022Data sources: Croatian Scientific Bibliography - CROSBIVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Pamukkale GCRIS Data... arrow_drop_down Ege University Institutional RepositoryArticle . 2023 . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2022Data sources: Croatian Scientific Bibliography - CROSBIVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:American Society of Clinical Oncology (ASCO) Renaud Schiappa; Sara Contu; Dorian Culie; Brice Thamphya; Yann Chateau; Jocelyn Gal; Caroline Bailleux; Juliette Haudebourg; Jean-Marc Ferrero; Emmanuel Barranger; Emmanuel Chamorey;PURPOSE Electronic medical records are a valuable source of information about patients' clinical status but are often free-text documents that require laborious manual review to be exploited. Techniques from computer science have been investigated, but the literature has marginally focused on non-English language texts. We developed RUBY, a tool designed in collaboration with IBM—France to automatically structure clinical information from French medical records of patients with breast cancer. MATERIALS AND METHODS RUBY, which exploits state-of-the-art Named Entity Recognition models combined with keyword extraction and postprocessing rules, was applied on clinical texts. We investigated the precision of RUBY in extracting the target information. RESULTS RUBY has an average precision of 92.8% for the Surgery report, 92.7% for the Pathology report, 98.1% for the Biopsy report, and 81.8% for the Consultation report. CONCLUSION These results show that the automatic approach has the potential to effectively extract clinical knowledge from an extensive set of electronic medical records, reducing the manual effort required and saving a significant amount of time. A deeper semantic analysis and further understanding of the context in the text, as well as training on a larger and more recent set of reports, including those containing highly variable entities and the use of ontologies, could further improve the results.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1200/cci.21.00199&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1200/cci.21.00199&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022 NorwayPublisher:Oxford University Press (OUP) Funded by:NIH | Modeling Anhedonia in Sch...NIH| Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems ApproachAlex S Cohen; Zachary Rodriguez; Kiara K Warren; Tovah Cowan; Michael D Masucci; Ole Edvard Granrud; Terje B Holmlund; Chelsea Chandler; Peter W Foltz; Gregory P Strauss;Abstract Background and Hypothesis Despite decades of “proof of concept” findings supporting the use of Natural Language Processing (NLP) in psychosis research, clinical implementation has been slow. One obstacle reflects the lack of comprehensive psychometric evaluation of these measures. There is overwhelming evidence that criterion and content validity can be achieved for many purposes, particularly using machine learning procedures. However, there has been very little evaluation of test-retest reliability, divergent validity (sufficient to address concerns of a “generalized deficit”), and potential biases from demographics and other individual differences. Study Design This article highlights these concerns in development of an NLP measure for tracking clinically rated paranoia from video “selfies” recorded from smartphone devices. Patients with schizophrenia or bipolar disorder were recruited and tracked over a week-long epoch. A small NLP-based feature set from 499 language samples were modeled on clinically rated paranoia using regularized regression. Study Results While test–retest reliability was high, criterion, and convergent/divergent validity were only achieved when considering moderating variables, notably whether a patient was away from home, around strangers, or alone at the time of the recording. Moreover, there were systematic racial and sex biases in the model, in part, reflecting whether patients submitted videos when they were away from home, around strangers, or alone. Conclusions Advancing NLP measures for psychosis will require deliberate consideration of test-retest reliability, divergent validity, systematic biases and the potential role of moderators. In our example, a comprehensive psychometric evaluation revealed clear strengths and weaknesses that can be systematically addressed in future research.
Europe PubMed Centra... arrow_drop_down Schizophrenia BulletinArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/schbul/sbac051&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Schizophrenia BulletinArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/schbul/sbac051&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:The Royal Society Funded by:UKRI | ARiVRUKRI| ARiVRColline Brassard; Adrian Bălăşescu; Rose-Marie Arbogast; Vianney Forest; Céline Bemilli; Adina Boroneanţ; Fabien Convertini; Muriel Gandelin; Valentin Radu; Patricia A. Fleming; Claude Guintard; Tracey L. Kreplins; Cécile Callou; Andréa Filippo; Anne Tresset; Raphaël Cornette; Anthony Herrel; Stéphanie Bréhard;International audience; Dogs are among the most variable species today, but little is known about the morphological variability in the early phases of their history. The Neolithic transition to farming may have resulted in an early morphological diversification as a result of changes in the anthropic environment or intentional selection on specific morphologies. Here, we describe the variability and modularity in mandible form by comparing 525 dog mandibles from European archaeological sites ranging from 8100 to 3000 cal. BC to a reference sample of modern dogs, wolves, and dingoes. We use three-dimensional geometric morphometrics to quantify the form of complete and fragmented mandibles. We demonstrate that an important morphological variability already existed before the Bronze Age in Europe, yet the largest, smallest, most brachycephalic or dolichocephalic extant dogs have no equivalent in the archaeological sample, resulting in a lower variation compared to modern relatives. The covariation between the anterior and posterior parts of the mandible is lower in archaeological dogs, suggesting a low degree of intentional human selection in early periods. The mandible of modern and ancient dogs differs in functionally important areas, possibly reflecting differences in diet, competition, or the implication of ancient dogs in hunting or defence.
Europe PubMed Centra... arrow_drop_down Proceedings of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03784704/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rspb.2022.0147&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Proceedings of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03784704/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rspb.2022.0147&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Cambridge University Press (CUP) Authors: Baylac-Paouly, Baptiste; Caballero, María-Victoria; Porras, María-Isabel;Baylac-Paouly, Baptiste; Caballero, María-Victoria; Porras, María-Isabel;doi: 10.1017/mdh.2022.3
pmc: PMC9272537
AbstractPoliomyelitis is a disease whose incidence steadily increased during the second half of the twentieth century on both sides of the Atlantic. If in the United States the epidemics which afflicted young children each summer became a major public health issue, in France, polio was considered less pressing than other diseases. This article, based on original archives from the Pasteur and Mérieux institutes, analyses the polio control strategies and policies implemented by France from the mid-1950s to the end of the 1960s. The article examines the role of two key actors and institutions that mobilised the French health authorities against the disease: Pierre Lépine and the Institut Pasteur as well as Charles Mérieux and the Institut Mérieux. Lépine developed an effective injected polio vaccine which was first used before being supplemented with the oral polio vaccine. If the two main protagonists and their institutions worked together, they each implemented different actions and manoeuvres, at different times with the aim to raise awareness of the fight against the disease. The national and international relations of the key French actors were decisive in the development and production of the polio vaccines and their application. This work contributes to understanding processes of polio vaccines choice at the level of national institutions and analyses the political and scientific networks built in support of polio vaccination, to finally move towards compulsory vaccination. Ultimately, this study describes the historical processes by which this disease became conflated with a biotechnology of collective protection in France.
Europe PubMed Centra... arrow_drop_down Medical HistoryArticle . 2022 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/mdh.2022.3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Medical HistoryArticle . 2022 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/mdh.2022.3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 NetherlandsPublisher:The Royal Society Funded by:NWO | Past El Niño variability:..., EC | HOPE, EC | ALPHA +1 projectsNWO| Past El Niño variability: linking annual resolution records of vegetation dynamics to climate forcing ,EC| HOPE ,EC| ALPHA ,ANR| VULPESAuthors: Rachel K. Sales; Crystal N. H. McMichael; Suzette G. A. Flantua; Kimberley Hagemans; +4 AuthorsRachel K. Sales; Crystal N. H. McMichael; Suzette G. A. Flantua; Kimberley Hagemans; Jesse R. Zondervan; Catalina González-Arango; Warren B. Church; Mark B. Bush;pmid: 35249384
pmc: PMC8899625
Much has yet to be learned of the spatial patterning of pre-Columbian people across the Tropical Andes. Using compiled archaeological data and a suite of environmental variables, we generate an ensemble species distribution model (SDM) that incorporates general additive models, random forest models and Maxent models to reconstruct spatial patterns of pre-Columbian people that inhabited the Tropical Andes east of the continental divide, within the modern countries of Bolivia, Peru and Ecuador. Within this region, here referred to as the eastern Andean flank, elevation, mean annual cloud frequency, distance to rivers and precipitation of the driest quarter are the environmental variables most closely related to human occupancy. Our model indicates that 11.04% of our study area (65 368 km 2 ) was likely occupied by pre-Columbian people. Our model shows that 30 of 351 forest inventory plots, which are used to generate ecological understanding of Andean ecosystems, were likely occupied in the pre-Columbian period. In previously occupied sites, successional trajectories may still be shaping forest dynamics, and those forests may still be recovering from the ecological legacy of pre-Columbian impacts. Our ensemble SDM links palaeo- and neo-ecology and can also be used to guide both future archaeological and ecological studies. This article is part of the theme issue ‘Tropical forests in the deep human past’.
Europe PubMed Centra... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2020.0502&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2020.0502&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
Loading
description Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 France, United StatesPublisher:Cold Spring Harbor Laboratory Funded by:EC | SHARE-COHESION, ANR | FrontCog, ANR | NeurATRIS +13 projectsEC| SHARE-COHESION ,ANR| FrontCog ,ANR| NeurATRIS ,EC| SSHOC ,NIH| English Longitudinal Study of Ageing ,NIH| Advancing Psychosocial and Biobehavioral Stress Measurement to Understanding Aging ,EC| DASISH ,EC| SHARE-DEV3 ,EC| SHARE_LEAP ,EC| SERISS ,NIH| Mega Meta Data Set of the Health and Retirement Surveys Around the World ,EC| SHARE_M4 ,EC| SHARE-PREP ,NIH| Integrating Information about Aging Surveys ,NIH| FINANCIAL STATUS--RETIREMENT SAVING PROGRAMS ,NIH| Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaAmin Gharbi-Meliani; François Husson; Henri Vandendriessche; Eleonore Bayen; Kristine Yaffe; Anne-Catherine Bachoud-Lévi; Laurent Cleret de Langavant;pmc: PMC9980227 , PMC10688099
Abstract Background Dementia is defined as a cognitive decline that affects functional status. Longitudinal ageing surveys often lack a clinical diagnosis of dementia though measure cognition and daily function over time. We used unsupervised machine learning and longitudinal data to identify transition to probable dementia. Methods Multiple Factor Analysis was applied to longitudinal function and cognitive data of 15,278 baseline participants (aged 50 years and more) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) (waves 1, 2 and 4–7, between 2004 and 2017). Hierarchical Clustering on Principal Components discriminated three clusters at each wave. We estimated probable or “Likely Dementia” prevalence by sex and age, and assessed whether dementia risk factors increased the risk of being assigned probable dementia status using multistate models. Next, we compared the “Likely Dementia” cluster with self-reported dementia status and replicated our findings in the English Longitudinal Study of Ageing (ELSA) cohort (waves 1–9, between 2002 and 2019, 7840 participants at baseline). Results Our algorithm identified a higher number of probable dementia cases compared with self-reported cases and showed good discriminative power across all waves (AUC ranged from 0.754 [0.722–0.787] to 0.830 [0.800–0.861]). “Likely Dementia” status was more prevalent in older people, displayed a 2:1 female/male ratio, and was associated with nine factors that increased risk of transition to dementia: low education, hearing loss, hypertension, drinking, smoking, depression, social isolation, physical inactivity, diabetes, and obesity. Results were replicated in ELSA cohort with good accuracy. Conclusions Machine learning clustering can be used to study dementia determinants and outcomes in longitudinal population ageing surveys in which dementia clinical diagnosis is lacking. International audience
eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaAlzheimer’s Research & TherapyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2023.02.17.23286078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaAlzheimer’s Research & TherapyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2023.02.17.23286078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Elsevier BV Funded by:NIH | Cost Effective, Synergist...NIH| Cost Effective, Synergistic Macromolecular Structure Determination, Analysis & SimulationAuthors: John P. A. Ioannidis; Francesco Zonta; Michael Levitt;John P. A. Ioannidis; Francesco Zonta; Michael Levitt;AbstractSeveral teams have been publishing global estimates of excess deaths during the COVID‐19 pandemic. Here, we examine potential flaws and underappreciated sources of uncertainty in global excess death calculations. Adjusting for changing population age structure is essential. Otherwise, excess deaths are markedly overestimated in countries with increasingly aging populations. Adjusting for changes in other high‐risk indicators, such as residence in long‐term facilities, may also make a difference. Death registration is highly incomplete in most countries; completeness corrections should allow for substantial uncertainty and consider that completeness may have changed during pandemic years. Excess death estimates have high sensitivity to modelling choice. Therefore different options should be considered and the full range of results should be shown for different choices of pre‐pandemic reference periods and imposed models. Any post‐modelling corrections in specific countries should be guided by pre‐specified rules. Modelling of all‐cause mortality (ACM) in countries that have ACM data and extrapolating these models to other countries is precarious; models may lack transportability. Existing global excess death estimates underestimate the overall uncertainty that is multiplicative across diverse sources of uncertainty. Informative excess death estimates require risk stratification, including age groups and ethnic/racial strata. Data to‐date suggest a death deficit among children during the pandemic and marked socioeconomic differences in deaths, widening inequalities. Finally, causal explanations require great caution in disentangling SARS‐CoV‐2 deaths, indirect pandemic effects and effects from measures taken. We conclude that excess deaths have many uncertainties, but globally deaths from SARS‐CoV‐2 may be the minority of calculated excess deaths.
Europe PubMed Centra... arrow_drop_down European Journal of Clinical InvestigationArticle . 2023 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4342889&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down European Journal of Clinical InvestigationArticle . 2023 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4342889&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:Oxford University Press (OUP) Pierre J Chambon; Christopher Wu; Jackson M Steinkamp; Jason Adleberg; Tessa S Cook; Curtis P Langlotz;Abstract Objective To develop an automated deidentification pipeline for radiology reports that detect protected health information (PHI) entities and replaces them with realistic surrogates “hiding in plain sight.” Materials and Methods In this retrospective study, 999 chest X-ray and CT reports collected between November 2019 and November 2020 were annotated for PHI at the token level and combined with 3001 X-rays and 2193 medical notes previously labeled, forming a large multi-institutional and cross-domain dataset of 6193 documents. Two radiology test sets, from a known and a new institution, as well as i2b2 2006 and 2014 test sets, served as an evaluation set to estimate model performance and to compare it with previously released deidentification tools. Several PHI detection models were developed based on different training datasets, fine-tuning approaches and data augmentation techniques, and a synthetic PHI generation algorithm. These models were compared using metrics such as precision, recall and F1 score, as well as paired samples Wilcoxon tests. Results Our best PHI detection model achieves 97.9 F1 score on radiology reports from a known institution, 99.6 from a new institution, 99.5 on i2b2 2006, and 98.9 on i2b2 2014. On reports from a known institution, it achieves 99.1 recall of detecting the core of each PHI span. Discussion Our model outperforms all deidentifiers it was compared to on all test sets as well as human labelers on i2b2 2014 data. It enables accurate and automatic deidentification of radiology reports. Conclusions A transformer-based deidentification pipeline can achieve state-of-the-art performance for deidentifying radiology reports and other medical documents.
Europe PubMed Centra... arrow_drop_down Journal of the American Medical Informatics AssociationArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jamia/ocac219&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Journal of the American Medical Informatics AssociationArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jamia/ocac219&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Bulgaria, Turkey, Italy, CroatiaPublisher:American Association for the Advancement of Science (AAAS) Funded by:UKRI | RootDetect: Remote Detect..., NIH | Advanced tools for using ..., NIH | Population mixture in evo...UKRI| RootDetect: Remote Detection and Precision Management of Root Health ,NIH| Advanced tools for using ancient DNA to study biology and history ,NIH| Population mixture in evolutionary and medical geneticsIosif Lazaridis; Songül Alpaslan-Roodenberg; Ayşe Acar; Ayşen Açıkkol; Anagnostis Agelarakis; Levon Aghikyan; Uğur Akyüz; Desislava Andreeva; Gojko Andrijašević; Dragana Antonović; Ian Armit; Alper Atmaca; Pavel Avetisyan; Ahmet İhsan Aytek; Krum Bacvarov; Ruben Badalyan; Stefan Bakardzhiev; Jacqueline Balen; Lorenc Bejko; Rebecca Bernardos; Andreas Bertsatos; Hanifi Biber; Ahmet Bilir; Mario Bodružić; Michelle Bonogofsky; Clive Bonsall; Dušan Borić; Nikola Borovinić; Guillermo Bravo Morante; Katharina Buttinger; Kim Callan; Francesca Candilio; Mario Carić; Olivia Cheronet; Stefan Chohadzhiev; Maria-Eleni Chovalopoulou; Stella Chryssoulaki; Ion Ciobanu; Natalija Čondić; Mihai Constantinescu; Emanuela Cristiani; Brendan J. Culleton; Elizabeth Curtis; Jack Davis; Ruben Davtyan; Tatiana I. Demcenco; Valentin Dergachev; Zafer Derin; Sylvia Deskaj; Seda Devejyan; Vojislav Djordjević; Kellie Sara Duffett Carlson; Laurie R. Eccles; Nedko Elenski; Atilla Engin; Nihat Erdoğan; Sabiha Erir-Pazarcı; Daniel M. Fernandes; Matthew Ferry; Suzanne Freilich; Alin Frînculeasa; Michael L. Galaty; Beatriz Gamarra; Boris Gasparyan; Bisserka Gaydarska; Elif Genç; Timur Gültekin; Serkan Gündüz; Tamás Hajdu; Volker Heyd; Suren Hobosyan; Nelli Hovhannisyan; Iliya Iliev; Lora Iliev; Stanislav Iliev; İlkay İvgin; Ivor Janković; Lence Jovanova; Panagiotis Karkanas; Berna Kavaz-Kındığılı; Esra Hilal Kaya; Denise Keating; Douglas J. Kennett; Seda Deniz Kesici; Anahit Khudaverdyan; Krisztián Kiss; Sinan Kılıç; Paul Klostermann; Sinem Kostak Boca Negra Valdes; Saša Kovačević; Marta Krenz-Niedbała; Maja Krznarić Škrivanko; Rovena Kurti; Pasko Kuzman; Ann Marie Lawson; Catalin Lazar; Krassimir Leshtakov; Thomas E. Levy; Ioannis Liritzis; Kirsi O. Lorentz; Sylwia Łukasik; Matthew Mah; Swapan Mallick; Kirsten Mandl; Kristine Martirosyan-Olshansky; Roger Matthews; Wendy Matthews; Kathleen McSweeney; Varduhi Melikyan; Adam Micco; Megan Michel; Lidija Milašinović; Alissa Mittnik; Janet M. Monge; Georgi Nekhrizov; Rebecca Nicholls; Alexey G. Nikitin; Vassil Nikolov; Mario Novak; Iñigo Olalde; Jonas Oppenheimer; Anna Osterholtz; Celal Özdemir; Kadir Toykan Özdoğan; Nurettin Öztürk; Nikos Papadimitriou; Niki Papakonstantinou; Anastasia Papathanasiou; Lujana Paraman; Evgeny G. Paskary; Nick Patterson; Ilian Petrakiev; Levon Petrosyan; Vanya Petrova; Anna Philippa-Touchais; Ashot Piliposyan; Nada Pocuca Kuzman; Hrvoje Potrebica; Bianca Preda-Bălănică; Zrinka Premužić; T. Douglas Price; Lijun Qiu; Siniša Radović; Kamal Raeuf Aziz; Petra Rajić Šikanjić; Kamal Rasheed Raheem; Sergei Razumov; Amy Richardson; Jacob Roodenberg; Rudenc Ruka; Victoria Russeva; Mustafa Şahin; Ayşegül Şarbak; Emre Savaş; Constanze Schattke; Lynne Schepartz; Tayfun Selçuk; Ayla Sevim-Erol; Michel Shamoon-Pour; Henry M. Shephard; Athanasios Sideris; Angela Simalcsik; Hakob Simonyan; Vitalij Sinika; Kendra Sirak; Ghenadie Sirbu; Mario Šlaus; Andrei Soficaru; Bilal Söğüt; Arkadiusz Sołtysiak; Çilem Sönmez-Sözer; Maria Stathi; Martin Steskal; Kristin Stewardson; Sharon Stocker; Fadime Suata-Alpaslan; Alexander Suvorov; Anna Szécsényi-Nagy; Tamás Szeniczey; Nikolai Telnov; Strahil Temov; Nadezhda Todorova; Ulsi Tota; Gilles Touchais; Sevi Triantaphyllou; Atila Türker; Marina Ugarković; Todor Valchev; Fanica Veljanovska; Zlatko Videvski; Cristian Virag; Anna Wagner; Sam Walsh; Piotr Włodarczak; J. Noah Workman; Aram Yardumian; Evgenii Yarovoy; Alper Yener Yavuz; Hakan Yılmaz; Fatma Zalzala; Anna Zettl; Zhao Zhang; Rafet Çavuşoğlu; Ron Pinhasi; David Reich;We present the first ancient DNA data from the Pre-Pottery Neolithic of Mesopotamia (Southeastern Turkey and Northern Iraq), Cyprus, and the Northwestern Zagros, along with the first data from Neolithic Armenia. We show that these and neighboring populations were formed through admixture of pre-Neolithic sources related to Anatolian, Caucasus, and Levantine hunter-gatherers, forming a Neolithic continuum of ancestry mirroring the geography of West Asia. By analyzing Pre-Pottery and Pottery Neolithic populations of Anatolia, we show that the former were derived from admixture between Mesopotamian-related and local Epipaleolithic-related sources, but the latter experienced additional Levantine-related gene flow, thus documenting at least two pulses of migration from the Fertile Crescent heartland to the early farmers of Anatolia. The newly reported dataset is described in detail in an accompanying Research Article, where we also acknowledge the funders who supported dataset generation (12). Analysis of data was supported by the National Institutes of Health (GM100233 and HG012287), the John Templeton Foundation (grant 61220), a private gift from Jean-Francois Clin, the Allen Discovery Center program, a Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation, and the Howard Hughes Medical Institute (D.R.). National Institutes of Health [GM100233, HG012287]; John Templeton Foundation [61220]; Allen Discovery Center program; Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation; Howard Hughes Medical Institute
Europe PubMed Centra... arrow_drop_down Ege University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0762&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Ege University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0762&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Bulgaria, Croatia, Italy, TurkeyPublisher:American Association for the Advancement of Science (AAAS) Funded by:UKRI | RootDetect: Remote Detect..., NIH | Population mixture in evo...UKRI| RootDetect: Remote Detection and Precision Management of Root Health ,NIH| Population mixture in evolutionary and medical geneticsIosif Lazaridis; Songül Alpaslan-Roodenberg; Ayşe Acar; Ayşen Açıkkol; Anagnostis Agelarakis; Levon Aghikyan; Uğur Akyüz; Desislava Andreeva; Gojko Andrijašević; Dragana Antonović; Ian Armit; Alper Atmaca; Pavel Avetisyan; Ahmet İhsan Aytek; Krum Bacvarov; Ruben Badalyan; Stefan Bakardzhiev; Jacqueline Balen; Lorenc Bejko; Rebecca Bernardos; Andreas Bertsatos; Hanifi Biber; Ahmet Bilir; Mario Bodružić; Michelle Bonogofsky; Clive Bonsall; Dušan Borić; Nikola Borovinić; Guillermo Bravo Morante; Katharina Buttinger; Kim Callan; Francesca Candilio; Mario Carić; Olivia Cheronet; Stefan Chohadzhiev; Maria-Eleni Chovalopoulou; Stella Chryssoulaki; Ion Ciobanu; Natalija Čondić; Mihai Constantinescu; Emanuela Cristiani; Brendan J. Culleton; Elizabeth Curtis; Jack Davis; Ruben Davtyan; Tatiana I. Demcenco; Valentin Dergachev; Zafer Derin; Sylvia Deskaj; Seda Devejyan; Vojislav Djordjević; Kellie Sara Duffett Carlson; Laurie R. Eccles; Nedko Elenski; Atilla Engin; Nihat Erdoğan; Sabiha Erir-Pazarcı; Daniel M. Fernandes; Matthew Ferry; Suzanne Freilich; Alin Frînculeasa; Michael L. Galaty; Beatriz Gamarra; Boris Gasparyan; Bisserka Gaydarska; Elif Genç; Timur Gültekin; Serkan Gündüz; Tamás Hajdu; Volker Heyd; Suren Hobosyan; Nelli Hovhannisyan; Iliya Iliev; Lora Iliev; Stanislav Iliev; İlkay İvgin; Ivor Janković; Lence Jovanova; Panagiotis Karkanas; Berna Kavaz-Kındığılı; Esra Hilal Kaya; Denise Keating; Douglas J. Kennett; Seda Deniz Kesici; Anahit Khudaverdyan; Krisztián Kiss; Sinan Kılıç; Paul Klostermann; Sinem Kostak Boca Negra Valdes; Saša Kovačević; Marta Krenz-Niedbała; Maja Krznarić Škrivanko; Rovena Kurti; Pasko Kuzman; Ann Marie Lawson; Catalin Lazar; Krassimir Leshtakov; Thomas E. Levy; Ioannis Liritzis; Kirsi O. Lorentz; Sylwia Łukasik; Matthew Mah; Swapan Mallick; Kirsten Mandl; Kristine Martirosyan-Olshansky; Roger Matthews; Wendy Matthews; Kathleen McSweeney; Varduhi Melikyan; Adam Micco; Megan Michel; Lidija Milašinović; Alissa Mittnik; Janet M. Monge; Georgi Nekhrizov; Rebecca Nicholls; Alexey G. Nikitin; Vassil Nikolov; Mario Novak; Iñigo Olalde; Jonas Oppenheimer; Anna Osterholtz; Celal Özdemir; Kadir Toykan Özdoğan; Nurettin Öztürk; Nikos Papadimitriou; Niki Papakonstantinou; Anastasia Papathanasiou; Lujana Paraman; Evgeny G. Paskary; Nick Patterson; Ilian Petrakiev; Levon Petrosyan; Vanya Petrova; Anna Philippa-Touchais; Ashot Piliposyan; Nada Pocuca Kuzman; Hrvoje Potrebica; Bianca Preda-Bălănică; Zrinka Premužić; T. Douglas Price; Lijun Qiu; Siniša Radović; Kamal Raeuf Aziz; Petra Rajić Šikanjić; Kamal Rasheed Raheem; Sergei Razumov; Amy Richardson; Jacob Roodenberg; Rudenc Ruka; Victoria Russeva; Mustafa Şahin; Ayşegül Şarbak; Emre Savaş; Constanze Schattke; Lynne Schepartz; Tayfun Selçuk; Ayla Sevim-Erol; Michel Shamoon-Pour; Henry M. Shephard; Athanasios Sideris; Angela Simalcsik; Hakob Simonyan; Vitalij Sinika; Kendra Sirak; Ghenadie Sirbu; Mario Šlaus; Andrei Soficaru; Bilal Söğüt; Arkadiusz Sołtysiak; Çilem Sönmez-Sözer; Maria Stathi; Martin Steskal; Kristin Stewardson; Sharon Stocker; Fadime Suata-Alpaslan; Alexander Suvorov; Anna Szécsényi-Nagy; Tamás Szeniczey; Nikolai Telnov; Strahil Temov; Nadezhda Todorova; Ulsi Tota; Gilles Touchais; Sevi Triantaphyllou; Atila Türker; Marina Ugarković; Todor Valchev; Fanica Veljanovska; Zlatko Videvski; Cristian Virag; Anna Wagner; Sam Walsh; Piotr Włodarczak; J. Noah Workman; Aram Yardumian; Evgenii Yarovoy; Alper Yener Yavuz; Hakan Yılmaz; Fatma Zalzala; Anna Zettl; Zhao Zhang; Rafet Çavuşoğlu; Ron Pinhasi; David Reich;pmc: PMC10019558
handle: 11499/46933 , 11454/77626 , 11573/1681329
Literary and archaeological sources have preserved a rich history of Southern Europe and West Asia since the Bronze Age that can be complemented by genetics. Mycenaean period elites in Greece did not differ from the general population and included both people with some steppe ancestry and others, like the Griffin Warrior, without it. Similarly, people in the central area of the Urartian Kingdom around Lake Van lacked the steppe ancestry characteristic of the kingdom's northern provinces. Anatolia exhibited extraordinary continuity down to the Roman and Byzantine periods, with its people serving as the demographic core of much of the Roman Empire, including the city of Rome itself. During medieval times, migrations associated with Slavic and Turkic speakers profoundly affected the region. The newly reported dataset is described in detail in an accompanying manuscript, where we also acknowledge the funders who supported dataset generation (1). Analysis of data was supported by the National Institutes of Health (GM100233 and HG012287), the John Templeton Foundation (grant 61220), a private gift from Jean-Francois Clin, the Allen Discovery Center program, a Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation, and the Howard Hughes Medical Institute (to D.R.). National Institutes of Health [GM100233, HG012287]; John Templeton Foundation [61220]; Allen Discovery Center program; Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation; Howard Hughes Medical Institute
Pamukkale GCRIS Data... arrow_drop_down Ege University Institutional RepositoryArticle . 2023 . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2022Data sources: Croatian Scientific Bibliography - CROSBIVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Pamukkale GCRIS Data... arrow_drop_down Ege University Institutional RepositoryArticle . 2023 . 2022Data sources: Ege University Institutional RepositoryDuzce Üniversitesi Akademik Arşiv SistemiArticle . 2022Data sources: Duzce Üniversitesi Akademik Arşiv SistemiEge University Institutional RepositoryArticle . 2022Data sources: Ege University Institutional RepositoryMardin Artuklu University Institutional RepositoryArticle . 2022Data sources: Mardin Artuklu University Institutional RepositoryCroatian Scientific Bibliography - CROSBIArticle . 2022Data sources: Croatian Scientific Bibliography - CROSBIVan Yüzüncü Yıl University Academic Data Management SystemArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.abq0755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:American Society of Clinical Oncology (ASCO) Renaud Schiappa; Sara Contu; Dorian Culie; Brice Thamphya; Yann Chateau; Jocelyn Gal; Caroline Bailleux; Juliette Haudebourg; Jean-Marc Ferrero; Emmanuel Barranger; Emmanuel Chamorey;PURPOSE Electronic medical records are a valuable source of information about patients' clinical status but are often free-text documents that require laborious manual review to be exploited. Techniques from computer science have been investigated, but the literature has marginally focused on non-English language texts. We developed RUBY, a tool designed in collaboration with IBM—France to automatically structure clinical information from French medical records of patients with breast cancer. MATERIALS AND METHODS RUBY, which exploits state-of-the-art Named Entity Recognition models combined with keyword extraction and postprocessing rules, was applied on clinical texts. We investigated the precision of RUBY in extracting the target information. RESULTS RUBY has an average precision of 92.8% for the Surgery report, 92.7% for the Pathology report, 98.1% for the Biopsy report, and 81.8% for the Consultation report. CONCLUSION These results show that the automatic approach has the potential to effectively extract clinical knowledge from an extensive set of electronic medical records, reducing the manual effort required and saving a significant amount of time. A deeper semantic analysis and further understanding of the context in the text, as well as training on a larger and more recent set of reports, including those containing highly variable entities and the use of ontologies, could further improve the results.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1200/cci.21.00199&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1200/cci.21.00199&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022 NorwayPublisher:Oxford University Press (OUP) Funded by:NIH | Modeling Anhedonia in Sch...NIH| Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems ApproachAlex S Cohen; Zachary Rodriguez; Kiara K Warren; Tovah Cowan; Michael D Masucci; Ole Edvard Granrud; Terje B Holmlund; Chelsea Chandler; Peter W Foltz; Gregory P Strauss;Abstract Background and Hypothesis Despite decades of “proof of concept” findings supporting the use of Natural Language Processing (NLP) in psychosis research, clinical implementation has been slow. One obstacle reflects the lack of comprehensive psychometric evaluation of these measures. There is overwhelming evidence that criterion and content validity can be achieved for many purposes, particularly using machine learning procedures. However, there has been very little evaluation of test-retest reliability, divergent validity (sufficient to address concerns of a “generalized deficit”), and potential biases from demographics and other individual differences. Study Design This article highlights these concerns in development of an NLP measure for tracking clinically rated paranoia from video “selfies” recorded from smartphone devices. Patients with schizophrenia or bipolar disorder were recruited and tracked over a week-long epoch. A small NLP-based feature set from 499 language samples were modeled on clinically rated paranoia using regularized regression. Study Results While test–retest reliability was high, criterion, and convergent/divergent validity were only achieved when considering moderating variables, notably whether a patient was away from home, around strangers, or alone at the time of the recording. Moreover, there were systematic racial and sex biases in the model, in part, reflecting whether patients submitted videos when they were away from home, around strangers, or alone. Conclusions Advancing NLP measures for psychosis will require deliberate consideration of test-retest reliability, divergent validity, systematic biases and the potential role of moderators. In our example, a comprehensive psychometric evaluation revealed clear strengths and weaknesses that can be systematically addressed in future research.
Europe PubMed Centra... arrow_drop_down Schizophrenia BulletinArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/schbul/sbac051&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Schizophrenia BulletinArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/schbul/sbac051&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022Publisher:The Royal Society Funded by:UKRI | ARiVRUKRI| ARiVRColline Brassard; Adrian Bălăşescu; Rose-Marie Arbogast; Vianney Forest; Céline Bemilli; Adina Boroneanţ; Fabien Convertini; Muriel Gandelin; Valentin Radu; Patricia A. Fleming; Claude Guintard; Tracey L. Kreplins; Cécile Callou; Andréa Filippo; Anne Tresset; Raphaël Cornette; Anthony Herrel; Stéphanie Bréhard;International audience; Dogs are among the most variable species today, but little is known about the morphological variability in the early phases of their history. The Neolithic transition to farming may have resulted in an early morphological diversification as a result of changes in the anthropic environment or intentional selection on specific morphologies. Here, we describe the variability and modularity in mandible form by comparing 525 dog mandibles from European archaeological sites ranging from 8100 to 3000 cal. BC to a reference sample of modern dogs, wolves, and dingoes. We use three-dimensional geometric morphometrics to quantify the form of complete and fragmented mandibles. We demonstrate that an important morphological variability already existed before the Bronze Age in Europe, yet the largest, smallest, most brachycephalic or dolichocephalic extant dogs have no equivalent in the archaeological sample, resulting in a lower variation compared to modern relatives. The covariation between the anterior and posterior parts of the mandible is lower in archaeological dogs, suggesting a low degree of intentional human selection in early periods. The mandible of modern and ancient dogs differs in functionally important areas, possibly reflecting differences in diet, competition, or the implication of ancient dogs in hunting or defence.
Europe PubMed Centra... arrow_drop_down Proceedings of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03784704/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rspb.2022.0147&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Proceedings of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03784704/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rspb.2022.0147&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Cambridge University Press (CUP) Authors: Baylac-Paouly, Baptiste; Caballero, María-Victoria; Porras, María-Isabel;Baylac-Paouly, Baptiste; Caballero, María-Victoria; Porras, María-Isabel;doi: 10.1017/mdh.2022.3
pmc: PMC9272537
AbstractPoliomyelitis is a disease whose incidence steadily increased during the second half of the twentieth century on both sides of the Atlantic. If in the United States the epidemics which afflicted young children each summer became a major public health issue, in France, polio was considered less pressing than other diseases. This article, based on original archives from the Pasteur and Mérieux institutes, analyses the polio control strategies and policies implemented by France from the mid-1950s to the end of the 1960s. The article examines the role of two key actors and institutions that mobilised the French health authorities against the disease: Pierre Lépine and the Institut Pasteur as well as Charles Mérieux and the Institut Mérieux. Lépine developed an effective injected polio vaccine which was first used before being supplemented with the oral polio vaccine. If the two main protagonists and their institutions worked together, they each implemented different actions and manoeuvres, at different times with the aim to raise awareness of the fight against the disease. The national and international relations of the key French actors were decisive in the development and production of the polio vaccines and their application. This work contributes to understanding processes of polio vaccines choice at the level of national institutions and analyses the political and scientific networks built in support of polio vaccination, to finally move towards compulsory vaccination. Ultimately, this study describes the historical processes by which this disease became conflated with a biotechnology of collective protection in France.
Europe PubMed Centra... arrow_drop_down Medical HistoryArticle . 2022 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/mdh.2022.3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Medical HistoryArticle . 2022 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/mdh.2022.3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 NetherlandsPublisher:The Royal Society Funded by:NWO | Past El Niño variability:..., EC | HOPE, EC | ALPHA +1 projectsNWO| Past El Niño variability: linking annual resolution records of vegetation dynamics to climate forcing ,EC| HOPE ,EC| ALPHA ,ANR| VULPESAuthors: Rachel K. Sales; Crystal N. H. McMichael; Suzette G. A. Flantua; Kimberley Hagemans; +4 AuthorsRachel K. Sales; Crystal N. H. McMichael; Suzette G. A. Flantua; Kimberley Hagemans; Jesse R. Zondervan; Catalina González-Arango; Warren B. Church; Mark B. Bush;pmid: 35249384
pmc: PMC8899625
Much has yet to be learned of the spatial patterning of pre-Columbian people across the Tropical Andes. Using compiled archaeological data and a suite of environmental variables, we generate an ensemble species distribution model (SDM) that incorporates general additive models, random forest models and Maxent models to reconstruct spatial patterns of pre-Columbian people that inhabited the Tropical Andes east of the continental divide, within the modern countries of Bolivia, Peru and Ecuador. Within this region, here referred to as the eastern Andean flank, elevation, mean annual cloud frequency, distance to rivers and precipitation of the driest quarter are the environmental variables most closely related to human occupancy. Our model indicates that 11.04% of our study area (65 368 km 2 ) was likely occupied by pre-Columbian people. Our model shows that 30 of 351 forest inventory plots, which are used to generate ecological understanding of Andean ecosystems, were likely occupied in the pre-Columbian period. In previously occupied sites, successional trajectories may still be shaping forest dynamics, and those forests may still be recovering from the ecological legacy of pre-Columbian impacts. Our ensemble SDM links palaeo- and neo-ecology and can also be used to guide both future archaeological and ecological studies. This article is part of the theme issue ‘Tropical forests in the deep human past’.
Europe PubMed Centra... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2020.0502&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticle . 2022 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2020.0502&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu