New research published in the journal Applied Cognitive Psychology identifies specific psychological traits associated with a ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Introduction Like many countries globally, childhood immunisation coverage is below government targets in the Philippines and ...

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 ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Abstract: Checkpoint/Restart (C/R) has been widely deployed in numerous HPC systems, Clouds, and industrial data centers, which are typically operated by system engineers. Nevertheless, there is no ...

Merced police are asking for the public’s help in identifying a man suspected of randomly assaulting another person, causing serious injuries, before fleeing the scene. According to the Merced Police ...

Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...