This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

Step inside the strange world of a superfluid, a liquid that can flow endlessly without friction, defying the common-sense ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

Abstract: This article principally presents the adaptive fuzzy dynamic event-triggered output-feedback consensus tracking control problem for constrained nonlinear multiagent systems encountering ...

This advancement has the potential to transform conventional 'flat' clinical trial data into detailed quantum-resolved biological mapsTel Aviv, ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Learn how convexity adjustments in bonds affect interest rates and prices using key formulas. Understand their importance in accurately predicting bond price changes.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...

Modern careers can progress in all directions, with lateral moves, internal mobility and upskilling redefining how workers ...