New research conducted at the state level provides evidence that exposure to extreme heat is linked to a higher prevalence of ...

The authors identify artificial intelligence as a turning point for food safety research. High-throughput sequencing, ...

Yaki, R.N., Kigen, E. and Mutweleli, S.M. (2025) Study Time Management as a Predictor of Academic Achievement of Secondary School Students in Mombasa County, Kenya. Open Access Library Journal, 12, ...

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

Learn about the negative correlation coefficient, its significance, comparison with other coefficients, and real-world ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

Tao, J. and Ke, Y. (2026) Facilitating or Inhibiting: A Cross-Level Study of the Impact of Artificial Intelligence Usage on Employees’ Thriving at Work. Open Journal of Business and Management, 14, ...

This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...

The product moment correlation coefficient is often used even for ordinal data with only a few scale steps. This procedure may lead to biased results, where the bias depends on the number of scale ...

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 ...