Results 151 to 160 of about 45,041 (216)

Measuring central charge on a universal quantum processor. [PDF]

open access: yesNat Commun
Köylüoğlu NU   +7 more
europepmc   +1 more source

Teacher Research in TESOL

open access: yesTESOL Quarterly, Volume 60, Issue 2, Page 767-786, June 2026.
Abstract This article offers a state‐of‐the‐art, critical discussion of teacher research as characterized in TESOL, applied linguistics, and wider educational literatures. We offer a reconceptualization of teacher research that recognizes teacher priorities and perspectives as distinct from academic ones.
Jason Anderson, Richard Smith
wiley   +1 more source

What Difference Does Language Make? Comparing Systematic Evidence Reviews of Vietnamese and English Language Literatures on Climate Change and the Health of Outdoor Workers

open access: yesArea, Volume 58, Issue 2, June 2026.
Short Abstract This paper compares two systematic literature reviews—one in English and one in Vietnamese—to examine how language shapes the production and framing of knowledge on climate change and health. It highlights significant differences in methods, assumptions and policy framings, and argues that linguistic boundaries are not just technical ...
Anh Ngoc Vu   +4 more
wiley   +1 more source

GRKs and arrestins: Nomenclature and functions in GPCR‐dependent and ‐independent signalling

open access: yesBritish Journal of Pharmacology, Volume 183, Issue 11, Page 2619-2633, June 2026.
G protein‐coupled receptor (GPCR) kinases (GRKs) and arrestins play a critical role in the regulation of GPCR signalling. Historic names of mammalian GRKs were replaced by systematic ones in the 1990s; however, both kinds of names are currently in use for mammalian arrestins.
Vsevolod V. Gurevich
wiley   +1 more source

Fairness at Risk: Where Bias Emerges in Machine Learning

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque   +2 more
wiley   +1 more source

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