Results 211 to 220 of about 4,472,659 (361)
Abstract This paper reports on findings from 15 semi‐structured interviews with LGBTQIA+ individuals within the United States who have experienced the loss of one or more LGBTQIA+ information spaces. The paper specifically focuses on how such losses occurred and the information transitions experienced by the participants in response to this loss ...
Travis L. Wagner, Vanessa L. Kitzie
wiley +1 more source
Hearing Loss: Why Does It Matter for Nursing Homes?
Ellen McCreedy +3 more
openalex +1 more source
Abstract Language is a major source of systemic inequities in science, particularly among scholars whose first language is not English. Studies have examined scientists' linguistic practices in specific contexts; few, however, have provided a global analysis of multilingualism in science. Using two major bibliometric databases (OpenAlex and Dimensions),
Carolina Pradier +2 more
wiley +1 more source
Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić +4 more
wiley +1 more source
Study Models for Non-Syndromic Hearing Loss. [PDF]
Hoyau V, Leclère JC, Moisan S.
europepmc +1 more source
Activism as education in and through the youth climate justice movement
Abstract Young people worldwide are increasingly participating in a global movement for climate justice, yet to date, little research has examined how youth climate justice activists conceive of and experience activism as education. The present study used in‐depth, semi‐structured interviews with 16 US climate justice activists (aged 15–17) to address ...
Carlie D. Trott
wiley +1 more source
Downstream of hearing loss: a population-based multistate analysis of lifetime risk and years lived with hearing loss, dementia and their comorbidity in Finland. [PDF]
Stonkute D +4 more
europepmc +1 more source
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran +2 more
wiley +1 more source

