Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A nonlinear regression model is proposed as an alternative to the Box-Cox regression model for nonnegative variables. The functional form contains linear, exponential, and reciprocal models as special ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Warmer weather and longer days increase Salmonella infections, linking climate, humidity, and food safety risks.

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...