Shorter leukocyte telomere length may serve as a useful biomarker for identifying patients at increased risk of developing pSS.

Abstract: While machine learning methods have significantly improved model performance over traditional methods, their black-box structure makes it difficult for researchers to interpret results. For ...

Introduction: Machine performance has surpassed human capabilities in various tasks, yet the opacity of complex models limits their adoption in critical fields such as healthcare. Explainable AI (XAI) ...

Abstract: Spectrum sensing in cognitive radio presents a challenge in overcoming the spectrum scarcity caused by the rapid growth of wireless devices. Deep learning (DL) and machine learning (ML) are ...

Representing soil organic carbon (SOC) dynamics in Earth system models (ESMs) is a key source of uncertainty in predicting carbon–climate feedbacks. Machine learning models can help identify dominant ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

ABSTRACT: The UK’s economic growth has witnessed instability over these years. While some sectors recorded positive performances, some recorded negative performances, and these unstable economic ...

1 Coastal Studies Institute, Department of Biology, East Carolina University, Wanchese, NC, United States 2 Department of Environmental Sciences, University of North Carolina Wilmington, Wilmington, ...

Melt pool scale models of laser powder bed fusion (LPBF) offer insights into the process-structure-property relationships in additive manufacturing (AM). These models often neglect physical phenomena ...

Bhatia HS, Wandel S, Willeit P, et al. A participant-level meta-analysis of 27,658 participants enrolled in six placebo-controlled statin trials was performed to assess the association of LDL-C and Lp ...