Results 141 to 150 of about 403,874 (208)
Antidepressant Use and Risk of Reoperation After Distal Radius Open Reduction and Internal Fixation: A Propensity Score-Matched Cohort Study. [PDF]
Kurbanov F +5 more
europepmc +1 more source
Objectives This study aimed to investigate hand function trajectories over 5 years in primary hand osteoarthritis. Additionally, determinants of baseline and longitudinal hand function were assessed. Methods 538 patients with both baseline and 5‐year study visits were analyzed.
Annemiek V.E.M. Olde Meule +4 more
wiley +1 more source
Advanced Consumer Behaviour Analysis: Integrating Eye Tracking, Machine Learning, and Facial Recognition. [PDF]
Rodrigues JA +2 more
europepmc +1 more source
Caledonia-Mumford Central School District and Caledonia-Mumford Support Staff, NYSUT, American Federation of Teachers (AFT), AFL-CIO (2001) [PDF]
core +1 more source
Purpose The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögrens International Collaborative Clinical Alliance (SICCA) cohort. Methods Retrospective analysis examining 16 ocular symptoms (most graded 0‐4) and artificial tear (AT) use (graded 0‐3) as predictors of DED signs [abnormal ocular surface staining ...
Pragnya R Donthineni +7 more
wiley +1 more source
Enhancing anomaly detection in plant disease recognition with knowledge ensemble. [PDF]
Dong J +4 more
europepmc +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
HiCoBERT: a hierarchical transformer-based framework for Pakistan legal judgment section segmentation with multi-level XAI insights. [PDF]
Bibi M, Rehman ZU, Awan KM, Kamal S.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source

