Results 91 to 100 of about 1,490 (299)

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti, Sheena Waters, Adil Harroud, Pernilla Stridh, Ruth Dobson, Benjamin M. Jacobs   +5 more
wiley   +1 more source

Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient‐Centered Intervention Network Cohort Study

Arthritis Care &Research, EarlyView.
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu, Marie‐Eve Carrier, Marie‐Claude Geoffroy, Meira Golberg, Linda Kwakkenbos, Susan J. Bartlett, Catherine Fortuné, Amy Gietzen, Karen Gottesman, Geneviève Guillot, Laura K. Hummers, Amanda Lawrie‐Jones, Vanessa L. Malcarne, Michelle Richard, Maureen Sauvé, Luc Mouthon, Andrea Benedetti, Brett D. Thombs, on behalf of the SPIN Investigators, Claire E. Adams, Marie Hudson, Maureen D. Mayes, James Stempel, Robyn K. Wojeck, Christian Agard, Laurent Alric, Marc André, Floryan Beaslay, Elana J. Bernstein, Sabine Berthier, Lyne Bissonnette, Sophie Blaise, Eva Bories, Alessandra Bruns, Carlotta Cacciatore, Patricia Carreira, Marion Casadevall, Benjamin Chaigne, Lorinda Chung, Benjamin Crichi, Thylbert Deltombe, Christopher P. Denton, Tannvir Desroche, Robyn Domsic, James V. Dunne, Bertrand Dunogue, Regina Fare, Dominique Farge‐Bancel, Paul R. Fortin, Tracy Frech, Loraine Gauzère, Anne Gerber, Jessica K. Gordon, Brigitte Granel‐Rey, Aurélien Guffroy, Geneviève Gyger, Eric Hachulla, Daphna Harel, Monique Hinchcliff, Sabrina Hoa, Michael Hugues, Alena Ikic, Sindhu R. Johnson, Nader Khalidi, Kimberly S. Lakin, Marc Lambert, Maggie Larche, David Launay, Yvonne C. Lee, Paul Legendre, Catarina Leite, Hélène Maillard, Nancy Maltez, Joanne Manning, Isabelle Marie, Maria Martin Lopez, Thierry Martin, Ariel Masetto, Arsène Mekinian, Sheila Melchor Díaz, Morgane Mourguet, Christelle Nguyen, Karen Nielsen, Mandana Nikpour, Louis Olagne, Vincent Poindron, Janet Pope, Susanna Proudman, Grégory Pugnet, Loïc Raffray, François Rannou, Alexis Régent, Frederic Renou, Sébastien Rivière, David Robinson, Esther Rodríguez Almazar, Tatiana Sofia Rodríguez‐Reyna, Sophie Roux, Perrine Smets, Vincent Sobanski, Robert F. Spiera, Virginia Steen, Evelyn Sutton, Carter Thorne, Damien Vagner, John Varga, Pearce Wilcox, Vanessa Cook, Cassidy Dal Santo, Monica D'Onofrio, Elsa‐Lynn Nassar   +110 more
wiley   +1 more source

Hypernymy Relation in NLP: Tasks, Approaches, Resources, and Future Directions—A Systematic Literature Review

IEEE Access
Hypernymy is a semantic relation between two terms, where a more specific term is entailed by a more general term—that is, the meaning of the more specific term is encompassed by the meaning of the more general term.
Randah Alharbi, Husni Al-Muhtaseb, Tarek Helmy   +2 more
doaj   +1 more source

Recognizing Textual Entailment with Statistical Methods [PDF]

, 2010
In this paper we propose a new cause-effect non-symmetric measure applied to the task of Recognizing Textual Entailment. First we searched over a big corpus for sentences which contains the discourse marker "because" and collected cause-effect pairs.
Miguel Ángel Ríos-Gaona, Alexander F. Gelbukh, Sivaji Bandyopadhyay   +2 more
openaire   +1 more source

Recognizing Textual Entailment Using Description Logic And Semantic Relatedness [PDF]

, 2014
Textual entailment (TE) is a relation that holds between two pieces of text where one reading the first piece can conclude that the second is most likely true.
Siblini, Reda
core  

Effect of Implementing a Dashboard With or Without a Best Practice Alert on HLA‐B*58:01 Testing Rates Among Allopurinol Users at VA Medical Centers

Arthritis Care &Research, EarlyView.
Objective The American College of Rheumatology recommends HLA‐B*58:01 allele testing before the initiation of allopurinol, specifically among Asian and African American/Black patients, due to their increased risk for severe hypersensitivity reactions. However, testing rates remain low at many health care facilities.
Abimbola Fadairo‐Azinge, Gabriela Schmajuk, Sristi Sharma, Colleen P. Flanagan, Sara Faghihi‐Kashani, Ning Zhang, Mary A. Whooley   +6 more
wiley   +1 more source

AlBERTo: Modeling Italian Social Media Language with BERT

IJCoL, 2019
Natural Language Processing tasks recently achieved considerable interest and progresses following the development of numerous innovative artificial intelligence models released in recent years. The increase in available computing power has made possible
Marco Polignano, Valerio Basile, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro   +4 more
doaj   +1 more source

Textual Entailment with Structured Attentions and Composition

CoRR, 2017
Deep learning techniques are increasingly popular in the textual entailment task, overcoming the fragility of traditional discrete models with hard alignments and logics. In particular, the recently proposed attention models (Rocktäschel et al., 2015; Wang and Jiang, 2015) achieves state-of-the-art accuracy by computing soft word alignments between the
Kai Zhao 0003, Liang Huang 0001, Mingbo Ma   +2 more
openaire   +3 more sources

SciTaiL: A Textual Entailment Dataset from Science Question Answering

, 2018
We present a new dataset and model for textual entailment, derived from treating multiple-choice question-answering as an entailment problem. SciTail is the first entailment set that is created solely from natural sentences that already exist ...
Sabharwal, Ashish, Khot, Tushar, Clark, Peter   +2 more
core   +1 more source