Results 251 to 260 of about 602,516 (375)
Objective To identify and summarize existing telerehabilitation interventions for people living with rheumatic and musculoskeletal diseases (RMDs), including the rehabilitation components, the technology used, the type of health care professional (HCP) interaction, and how the effectiveness is evaluated.
Thomas A. Ingram +5 more
wiley +1 more source
StructMAn 2.0 Web: a web server for structural annotation of protein sequences and mutations. [PDF]
Yurtseven A +4 more
europepmc +1 more source
Objectives The aim of this study is to generate hypotheses about unknown drugs associated with the onset or worsening of Raynaud's Phenomenon (RP) and to explore their potential pathophysiological mechanisms through a mixed disproportionality/clustering analysis from the WHO pharmacovigilance database.
Alex Hlavaty +4 more
wiley +1 more source
OLIVE provides rapid visualization and analysis of chromatin tracing experiments. [PDF]
Zhou Y +5 more
europepmc +1 more source
A Cost-Aware Strategy for Query Result Caching in Web Search Engines
İsmail Sengör Altıngövde +2 more
openalex +2 more sources
Objective: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint pain, swelling, and stiffness. While smoking is a well‐established risk factor for RA, the role of occupational inhalants in RA development is less well recognized.
Qianwen Liu +7 more
wiley +1 more source
A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation. [PDF]
Ahmad JM +5 more
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
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. [PDF]
Casmiry E, Mduma N, Sinde R.
europepmc +1 more source

