Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

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 ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to epidemiological and behavioural factors; however, the biological effects of forced ...

Megan Barnet receives funding from Boehringer Ingelheim, Takeda Pharmaceuticals, and government-funded grants including the NHMRC. Sarah Sasson does not work for, consult, own shares in or receive ...

Western New York has gotten an early taste of winter this season, with two lake effect systems and one Nor’easter in late November and early December. Snow, ice and high winds have battered the area ...

Like its predecessor, “Wicked: For Good” more than doubles the runtime of Act II of the Broadway musical that inspired it. But unlike the first “Wicked” film, the sequel makes big additions to the ...

Frankenstein was first published over 200 years ago, but Mary Shelley's Gothic novel has more than stood the test of time. Many adaptations have been made for stage and screen in the two centuries ...

ABSTRACT: This research aims to explore changes in Land Use and Land Cover (LULC) and how LULC have an influence on the Land Surface Temperature (LST) in Rupandehi district. Multiple Landsat imagery ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...