Observing Eurolects: Corpus analysis of linguistic variation in EU law
Heikki E. S. Mattila
openalex +2 more sources
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
Feature attention and accent recognition: human listeners' responses to five Northern English accents. [PDF]
Montgomery C, Vriesendorp H, Walker G.
europepmc +1 more source
Aims To assess the utility of the artificial intelligence (AI) chatbot ChatGPT (openly available version 3.5) in responding to real‐world pharmacotherapeutic queries from healthcare professionals. Methods Three independent and blinded evaluators with different levels of medical expertise and professional experience (beginner, advanced, and expert ...
Benjamin Krichevsky +9 more
wiley +1 more source
How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis
Shravan Vasishth, Andrew Gelman
openalex +1 more source
Clinical pharmacology consultations and their implementation in clinical decision making
Aims One of the key roles of clinical pharmacologists is to work as consultants for other medical specialties. We wanted to investigate the characteristics of clinical pharmacology consultations, compare the types of consultations from different specialties, and evaluate how well the recommendations given were followed.
Mirjam Kauppila +2 more
wiley +1 more source
Tracing Human Diversity in South America's Southern Cone: Linguistic, Morphometric, and Genetic Perspectives. [PDF]
Menéndez LP, Urban M.
europepmc +1 more source
Linguistic variation in mediated diplomatic communication: a full multi-dimensional analysis of interpreted language in Chinese Regular Press Conferences [PDF]
Yao Yao +3 more
openalex +1 more source
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
europepmc +1 more source

