Metabolic dysfunction, rather than steatotic liver disease (SLD), seems to be the main driver of chronic kidney disease (CKD) ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Discover how standard deviation calculates investment risk and market volatility, helping investors make informed decisions.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Introduction Burnout among healthcare professionals remains a critical public health issue linked to impaired cognition, emotional exhaustion and diminished clinical performance. Structured breathing ...

This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating ...