Results 191 to 200 of about 9,057 (292)
Abstract Background Non‐motor symptoms, especially autonomic dysfunction, are major contributors to disability and decreased quality of life in Parkinson's disease (PD). Despite being common and having a wide range of clinical facets, exocrine gland dysfunction is still not well recognized and managed.
Renato P. Munhoz +2 more
wiley +1 more source
Spanish Readers Skip Articles Regardless of Gender and Number Agreement. [PDF]
Serrano-Carot M, Angele B.
europepmc +1 more source
High Prevalence and Clinical Impact of Fibromyalgia in Functional Motor Disorder
Abstract Background Fibromyalgia is characterized by widespread pain, fatigue, sleep and cognitive symptoms. It overlaps clinically with functional motor disorder (FMD), yet its prevalence and impact in FMD remain uncertain. Objective To determine the prevalence of fibromyalgia in FMD using the current criteria and evaluate its effects on motor ...
Tereza Serranová +6 more
wiley +1 more source
FRMD: fast robot motion diffusion via trajectory-level consistency distillation. [PDF]
Shi X, Hu Y, Jin J.
europepmc +1 more source
Living with the Unknown: Intolerance of Uncertainty in Parkinson's Disease
Abstract Background Parkinson's disease (PD) is marked by pervasive uncertainty due to fluctuating motor and non‐motor symptoms, variable treatment response, and an unpredictable clinical course. Intolerance of uncertainty (IU), a tendency to perceive ambiguity as threatening and respond with worry, avoidance, or decisional paralysis, may be ...
Bradley McDaniels +3 more
wiley +1 more source
Real-time detection of rare roadside obstacles using YOLOv8-n in autonomous vehicles. [PDF]
Tanveer AB, Kamal MA, Alam MM, Su'ud MM.
europepmc +1 more source
Understanding the impact of natural disasters on post-traumatic stress disorder and depression symptoms: An examination of counterfactual displacement scenarios. [PDF]
Abba-Aji M +6 more
europepmc +1 more source
Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia +7 more
wiley +1 more source

