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 ...
Background The ‘right to request’ flexible working policy has been gradually extended and, by 2014, extended to cover all ...
Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.
The textile industry is increasingly recognized as a key pillar in achieving Kenya’s Big Four Agenda and Vision 2030. However ...
AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.
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 ...
A big new study suggests that certain genetic traits—like insomnia risk and neuroticism—may make depression harder to treat, ...
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