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 ...

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

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

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 ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

S&P 500's forward 10-year returns are often misrepresented as tightly & negatively correlated with trailing P/E ratios. Read more on SP500 stock here.

Learn how HML impacts stock returns within the Fama-French model, highlighting value stocks' advantage over growth stocks for strategic investment insights.

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

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as perceptrons or ...

Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...