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 ...

On the benchmark, Anthropic’s Claude Opus 4.5 Agent solved 37.4% whereas OpenAI’s GPT-5.1 Agent scored 43.1% on the full data ...

TL;DR: Microsoft Notepad for Windows 11 now supports table creation with an easy toolbar grid and enhanced AI-powered Write, Rewrite, and Summarize tools for faster text generation. While these ...

New AI models are underperforming on SEO tasks. Discover why accuracy is down and how to adapt before these regressions ...

As expectations of polymer manufacturers increase, TD-NMR offers the right tools to refine quality control procedures.

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

Executive SummaryOn December 8, the Trump administration announced plans to loosen U.S. export controls on artificial intelligence (AI) chips to China by approving the sale of Nvidia H200 chips—the ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Huang, H. (2025) Institutional and Fiscal Determinants of Non-Performing Loans: Empirical Evidence from the Post-COVID-19 ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...