Results 141 to 150 of about 155,560 (284)
ABSTRACT Employees routinely experience work‐related positive events. In the wake of these events, employees sometimes share the good news with coworkers—a phenomenon known as workplace interpersonal capitalization. Research shows that such capitalization matters for how employees feel and act.
Trevor Watkins +3 more
wiley +1 more source
Prognostic role of functional syntax score based on quantitative flow ratio [PDF]
K P Gkini +7 more
openalex +1 more source
Abstract The integration of electronic health record systems has transformed healthcare by enhancing workflow efficiency, improving data accessibility, and enhancing patient safety. King Fahad Medical City transitioned from a fragmented, paper‐based parenteral nutrition management system to a fully integrated Epic electronic health record system ...
Nora Albanyan +8 more
wiley +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
Movement Disorders Associated with 22q11.2 Microdeletion: A Scoping Review
Abstract Background Movement disorders have recently emerged as important neurologic manifestations of the 22q11.2 microdeletion that affects nearly one in every 2000 live births. Objective We aimed to map the existing evidence regarding the spectrum, diagnosis and treatment, and etiopathogenesis of movement disorders associated with 22q11.2 ...
Nikolai Gil D. Reyes +6 more
wiley +1 more source
Background Insulin resistance (IR) is linked to both the complexity of coronary artery lesions and the prognosis of acute coronary syndrome (ACS). However, the precise extent of this correlation and its impact on adverse cardiovascular outcomes in ACS ...
Qiang Chen +11 more
doaj +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source

