Results 181 to 190 of about 263,982 (261)
ABSTRACT Objective behavioral assessments for autism spectrum disorder (ASD) are often time‐intensive and require substantial clinical expertise. Eye‐tracking–based paradigms offer quantifiable measures of social attention that can complement traditional tools.
Fouad Al Shaban +4 more
wiley +1 more source
Cognitive linguistics approach to the representation of knowledge contents in college English textbooks. [PDF]
Zhang L, Mo Z.
europepmc +1 more source
ABSTRACT A recent “hierarchical” reinterpretation of the neurological basis of autism suggests that in autism with early language delay, perceptual processing may be favored over the integration of transmodal information. This model is largely based on neuroimaging findings relating to visual processing, but predicts a corresponding reorganization in ...
Luodi Yu +3 more
wiley +1 more source
Transforming scholarly landscapes: The influence of large language models on academic fields beyond computer science. [PDF]
Pramanick A +3 more
europepmc +1 more source
ABSTRACT Auditory mismatch responses—mismatch negativity (MMN) and mismatch fields (MMF)—are well established electrophysiological markers of automatic auditory discrimination supported by short‐term sensory memory. These responses, typically elicited using passive oddball paradigms, are increasingly used to investigate sensory and language processing ...
Sara Cacciato‐Salcedo +4 more
wiley +1 more source
How to crip your sign language linguistic theory. [PDF]
Hou L, Namboodiripad S.
europepmc +1 more source
Atypical Predictive Processing Is Associated With Sensory Over‐Responsivity in Autism
ABSTRACT Autism is characterized by sensory processing atypicalities including sensory over‐responsivity (SOR), a heightened negative response to sensory stimuli. Although the neural mechanisms underlying SOR are not fully understood, SOR has been associated with sensory‐limbic hyper‐reactivity during sensory stimulation.
Bar Yosef +5 more
wiley +1 more source
BioTriplex: a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks. [PDF]
Collins C +6 more
europepmc +1 more source
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard +11 more
wiley +1 more source
Aims To determine the prevalence of non‐adherence to antihypertensive medicines and to identify demographic and behavioral factors associated with non‐adherence in subjects enrolled in the May Measurement Month (MMM) 2023, as part of the permanent public health action Hunting the silent killer.
Valerija Bralić Lang +12 more
wiley +1 more source

