A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Researchers discovered unsettling limitations in tsunami warning systems — and this research helps identify where ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

Prince William has taken a "forensic interest" in a new study that questions the charitable value of royal patronages, ...

Prince William has closely examined new research that appeared to validate his longstanding scepticism about the Royal Family ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

BACKGROUND: Vascular aging is an important phenotype characterized by structural and geometric remodeling. Some individuals exhibit supernormal vascular aging, associated with improved cardiovascular ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

Teacher Professional Development, Teaching Quality, Educational Reform Liu, L.M. and Mustakim, S.S.B. (2025) A Study on Performance Evaluation Standards (PES) and Its Impact among Teachers in Jinan’s ...