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 ...

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 ...

LASSO regression will use 10-fold cross-validation to identify the most predictive features, further optimising model performance. The data analysis process will iteratively refine the model to ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

This summer, UL Verification Solutions was chosen to conduct a third-party review of the College’s carbon-neutral status for ...