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 ...
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 ...
Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...
Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.
AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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 ...
Active LN and the presence of U1-RNP antibodies were linked to low BMD and osteoporosis among patients with SLE.
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
A research team demonstrates that unmanned aerial vehicles (UAVs) equipped with multispectral sensors can rapidly and ...
Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...
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