Results 191 to 200 of about 142,071 (310)

How Do I Measure up? Social Influence and L2 Motivation in the Algorithmic Age

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT Comparative thinking is a fundamental human drive and a hallmark of contemporary life. For social action, such as the learning and use of additional languages, a target for appraisal (an L2 attribute) is evaluated in relation to a comparison standard (an appraiser's standpoint).
Alastair Henry, Meng Liu
wiley   +1 more source

Theoretical prediction for monitoring Jahn-Teller vibrational evolution using real-space tip-enhanced Raman imaging. [PDF]

open access: yesNat Commun
Yu HZ   +10 more
europepmc   +1 more source

A spectral analysis extension to DEMATEL for strategic leverage points identification

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley   +1 more source

Molecule Graph Networks with Many-Body Equivariant Interactions. [PDF]

open access: yesJ Chem Theory Comput
Mao Z   +7 more
europepmc   +1 more source

Smartphone language and resting‐state EEG indicators of self‐focused attention prospectively predict major depressive disorder risk in adolescents

open access: yesJournal of Child Psychology and Psychiatry, EarlyView.
Background Central to major depressive disorder (MDD) onset and maintenance is maladaptive self‐focused attention, which can be reliably indexed by greater: (a) usage of first‐person singular pronouns (e.g., I) in natural language and (b) alpha oscillations in resting‐state EEG.
Lilian Y. Li   +13 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy