Results 151 to 160 of about 45,041 (216)
Measuring central charge on a universal quantum processor. [PDF]
Köylüoğlu NU +7 more
europepmc +1 more source
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
Unitarity problems for an effective field theory description of early universe cosmology. [PDF]
Brandenberger R, Kamali V.
europepmc +1 more source
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
Matrix Quantum Mechanics and Entanglement Entropy: A Review. [PDF]
Fliss JR, Frenkel A.
europepmc +1 more source
GRKs and arrestins: Nomenclature and functions in GPCR‐dependent and ‐independent signalling
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
Minimum Spacetime Length and the Thermodynamics of Spacetime. [PDF]
Rossi V, Cacciatori SL, Pesci A.
europepmc +1 more source
C2 generalization of the van Diejen model from the minimal (D5,D5) conformal matter. [PDF]
Nazzal B, Nedelin A.
europepmc +1 more source
Fairness at Risk: Where Bias Emerges in Machine Learning
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

