Japanese Cross-Sectional Study Links Nocturia With Higher Sleep Dissatisfaction
A cross-sectional survey of 2,148 residents in Tsukuba City, Japan, found that each additional nocturnal void was independently associated with ...
A cross-sectional survey of 2,148 residents in Tsukuba City, Japan, found that each additional nocturnal void was independently associated with ...
Researchers developed an interpretable XGBoost-SHAP framework to prioritize noncoding variants and identify nonlinear regulatory interactions affecting HNF4A binding in pancreatic ...
Researchers have developed an explainable multi-target machine learning framework to accurately predict critical seismic demands on nuclear reactor containment buildings ...
An explainable XGBoost model using eight routine clinical parameters predicted sepsis-associated acute kidney injury in 3,437 children across five Chinese ...
A study across 22 countries found small pooled differences in self-rated physical health associated with annual temperature metrics alongside variations ...
An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class rockburst intensity prediction and passed preliminary validation ...
A data-centric framework that prioritizes clinical training observations using aggregated feature-level SHAP values improved classification performance across multiple benchmark datasets ...
Researchers have developed an image-driven deep learning framework that couples plant classification and segmentation with proxy indicators to quantify weed ...
A new panel study of 50 European and African countries finds green finance is the most consistent financial correlate of ...
Colorectal cancer prognosis has long been judged mainly by tumor stage and spread, but the immune cells living inside and ...
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© 2026 Scienmag - Science Magazine