This important study uses a tripartite transdiagnostic computational framework to distinguish depression-specific, anxiety-specific, and shared psychopathology dimensions, in their relationships to ...
Detection decisions (red for absence, blue for presence) are based on the disjunctive integration rule (disjunction and negation of disjunction). Confidence decisions (dashed line for not sure, full ...
Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...
As employers reset priorities for spring planning and performance reviews, data from EdAssist by Bright Horizons shows that skills gaps, particularly around artificial intelligence, are emerging as ...
For founders, this logical fallacy might be relevant in a variety of scenarios, including hiring, understanding your customer ...
Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...
SEED-SET enhances ethical evaluation of autonomous systems through a hierarchical Bayesian framework, optimizing alignment ...
Khaberni - For years, scientists assumed that the most famous and widely cultivated magic mushroom globally, Psilocybe ...
A paper appearing in Proceedings of the National Academy of Sciences offers a strikingly simple answer to a longstanding ...
The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
This first evidence of nirsevimab's effectiveness in China validates its value in a novel geographical and implementation ...
Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...
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