Background Few studies have investigated the prevalence of chronic wounds and the clinical and sociodemographic characteristics of hospitalised patients affected by them. Understanding these ...

Introduction Healthcare systems around the world exhibit inherent systemic inequities that disproportionately impact marginalised populations. Digital health technologies (DHTs) hold promising ...

This study used deep neural networks (DNN) to reconstruct voice information (viz., speaker identity), from fMRI responses in the auditory cortex and temporal voice areas, and assessed the ...

Objective: To investigate the mechanisms through which team cohesion, social support, and self-identity influence athletes’ mental toughness, grounded in Conservation of Resources (COR) theory.

Neurointervention has seen significant advancements in recent decades with the adoption of myriad new technologies and techniques. Initially reliant on case reports and small case series, we now ...

This study quantifies the accuracy of vote counting in a collection of highly contested and consequential electoral contests. We compiled every available audit of votes cast in the 2020 United States ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

Live-fire ranges must deliberately measure marksmanship if they are to achieve their purpose of training Soldiers and junior leaders in the skills needed to win close combat engagements. Training ...