Results 121 to 130 of about 38,115 (239)

Lower left ventricular ejection time in MYBPC3 variant carriers with overt or subclinical hypertrophic cardiomyopathy

ESC Heart Failure, EarlyView.
Abstract Aims Hypertrophic cardiomyopathy (HCM) is an inherited cardiomyopathy often caused by pathogenic variants in MYBPC3 and MYH7, encoding myosin‐binding protein C3 and myosin heavy chain 7, respectively. These variants can cause increased actin–myosin crossbridge cycling, resulting in ventricular hypercontractility, but mice lacking Mybpc3 ...
Isabell Yan, Zoe Möhring, Daniel Reichart, Fanny Kortüm, Julia Münch, Rixa Woitschach, Paulus Kirchhof, Lucie Carrier, Carolyn Y. Ho, Thomas Eschenhagen, Monica Patten   +10 more
wiley   +1 more source

Mobilizing primary biodiversity records in environmental assessments in Spain. [PDF]

Biodivers Data J
Telletxea M, Miranda R, Ariño AH, Galicia D.   +3 more
europepmc   +1 more source

Controlled vocabularies for health & medicine

, 2015
This presentation, given at the 2015 Health Libraries Australia professional Development Day in Brisbane, aims to provide guidance for health & medical librarians in maximising value in regard to use of controlled vocabularies for health & medicine. Included are discussions around the differences between controlled language and natural language/
openaire   +2 more sources

Clinical endpoints in pragmatic heart failure trials: From data collection to clinical endpoint classification

ESC Heart Failure, EarlyView.
Abstract Clinical endpoint classification (CEC)—that is, evaluation of clinical events using pre‐defined criteria—is commonly conducted in clinical trial operations to ensure systematic and consistent assessment of endpoints needed to assess the intervention's safety and efficacy.
Veraprapas Kittipibul, Harriette G.C. Van Spall, William Schuyler Jones, Marat Fudim, Robert J. Mentz, Kevin Anstrom, Bertram Pitt, Patrice Desvigne‐Nickens, Jerome L. Fleg, Camilla Hage, Stefan James, Claes Held, Lars Lund, Adam DeVore   +13 more
wiley   +1 more source

Learning academic vocabulary with digital flashcards: Comparing the outcomes from computers and smartphones

Social Sciences and Humanities Open
This study systematically evaluates the comparative efficacy of digital flashcards on mobile and computer platforms versus traditional paper-based flashcards in augmenting academic vocabulary knowledge development among Iranian undergraduate university ...
Zahra Zarrati, Mohammad Zohrabi, Hakimeh Abedini, Ismail Xodabande   +3 more
doaj  

Influence of Child-Level Factors and Lexical Characteristics on Vocabulary Knowledge of Children With Cochlear Implants and Hearing Aids. [PDF]

Dev Sci
Lund E, Werfel KL.
europepmc   +1 more source

Quality of life in heart failure. The heart of the matter. A scientific statement of the Heart Failure Association and the European Association of Preventive Cardiology of the European Society of Cardiology

European Journal of Heart Failure, EarlyView.
For most patients with chronic, progressive illnesses, maintaining good quality of life (QoL), with preserved functional capacity, is just as crucial as prolonging survival. Patients with heart failure (HF) experience much worse QoL and effort intolerance than both the general population and people with other chronic conditions, since they present a ...
Maurizio Volterrani, Geza Halasz, Stamatis Adamopoulos, Pier Giuseppe Agostoni, Javed Butler, Andrew J.S. Coats, Alan Cohen‐Solal, Wolfram Doehner, Gerasimos Filippatos, Ewa Jankowska, Carolyn S.P. Lam, Ekaterini Lambrinou, Lars H. Lund, Giuseppe Rosano, Marco Metra, Stefania Paolillo, Pasquale Perrone Filardi, Amina Rakisheva, Gianluigi Savarese, Petar Seferovic, Carlo Gabriele Tocchetti, Massimo Piepoli   +21 more
wiley   +1 more source

Attention and Outcomes Across Learning Conditions in L2 Vocabulary Acquisition: Evidence from Eye-Tracking. [PDF]

J Eye Mov Res
Yang Y, Ren H.
europepmc   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

European Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, Bertram Pitt, John G.F. Cleland, Stefan D. Anker, Carolyn S.P. Lam, Mandeep R. Mehra, Dirk J. van Veldhuisen, Barry Greenberg, Faiez Zannad, Nicolas Girerd   +11 more
wiley   +1 more source

Examining Neurodiversity in Bilingual Development Research: Recent Insights Through an Equity, Diversity, and Inclusion Lens. [PDF]

Int J Lang Commun Disord
Leung KI, Molnar M.
europepmc   +1 more source