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 ...

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 ...

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 ...

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...

The base rate fallacy is a silent killer of great startups. Learn how this common statistical trap leads to bad hires, failed ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

High blood pressure is the main modifiable risk factor for preventing cardiovascular events in people who have had a stroke or transient ischaemic attack; however, only approximately one in three ...

Introduction Mindfulness-based interventions are widely used, yet concerns about potential negative effects—particularly those related to mindfulness meditation practice—have gained increasing ...

Abstract: This work presents a Bayesian framework for generalized wideband Direction-of-Arrival (DOA) estimation that simultaneously exploits block sparsity in spatial and spectral domains to resolve ...