Background/aim Frequent premature ventricular complexes (PVCs) have historically been regarded as benign in structurally ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling ...

Exploring the Psychological Links Between Self-Esteem, Relationship Quality, and Mental Health in Educational Contexts Eric Paddy Boso Southern New Hampshire University, Department of Psychology ...

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Heart rate variability is one of the main things your smartwatch or fitness tracker measures. Here's what it means.

Abstract: We tackle covariance estimation in low-sample scenarios, employing a structured covariance matrix with shrinkage methods. These involve convexly combining a low-biaslhigh-variance empirical ...