A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...

HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Earlier this month, Applied Digital announced that its subsidiary priced a US$2.35 billion private offering of 9.250% senior secured notes due 2030 to fund construction and expansion of two major data ...