Results 311 to 320 of about 3,004,284 (392)
Evidence of strong and mode-selective electron-phonon coupling in the topological superconductor candidate 2M-WS2. [PDF]
Li Y+15 more
europepmc +1 more source
Abstract The first experience of medical students in the dissecting room (DR) likely influences professional identity formation (PIF). Sparse data exist exploring how exposure to the DR and body donors without undertaking dissection influences PIF, or how culture may influence this experience.
Jacob Madgwick+2 more
wiley +1 more source
Applying Integrated Enhanced Cognitive Behaviour Therapy (I-CBTE) to Severe and Longstanding Eating Disorders (SEED) Paper 1: I am no longer a SEED patient. [PDF]
Collins L.
europepmc +1 more source
“Lives and times”: The case for qualitative longitudinal research in anatomical sciences education
Abstract Qualitative longitudinal research (QLR) focuses on changes in perceptions, interpretations, or practices through time. Despite longstanding traditions in social science, QLR has only recently appeared in anatomical sciences education (ASE).
Charlotte E. Rees, Ella Ottrey
wiley +1 more source
What are they all doing in that restaurant? Perspectives on the use of theory of mind. [PDF]
Gabbatore I, Bosco FM, Tirassa M.
europepmc +1 more source
Abstract This paper reports on findings from 15 semi‐structured interviews with LGBTQIA+ individuals within the United States who have experienced the loss of one or more LGBTQIA+ information spaces. The paper specifically focuses on how such losses occurred and the information transitions experienced by the participants in response to this loss ...
Travis L. Wagner, Vanessa L. Kitzie
wiley +1 more source
Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
ABSTRACT Simulation‐based digital twins must provide accurate, robust, and reliable digital representations of their physical counterparts. Therefore, quantifying the uncertainty in their predictions plays a key role in making better‐informed decisions that impact the actual system.
Daniel Andrés Arcones+3 more
wiley +1 more source
ABSTRACT Classification of galaxies, stars, and quasars using spectral data is fundamental to astronomy, but often relies heavily on redshift. This study evaluates the performance of 10 machine learning algorithms on SDSS data to classify these objects, with a particular focus on scenarios where redshift information is unavailable.
Debashis Chatterjee, Prithwish Ghosh
wiley +1 more source