New Bayesian Model Extracts Shared Microbial Signals Across Heterogeneous Studies
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
A new computational framework claims the best mean predictive performance across four English learner corpora, forecasting writing scores and speaking-proficiency ...
Researchers in Egypt report that replacing reconstruction-based pre-training with hierarchical supervised contrastive learning and a per-access-point attention gate improves Wi-Fi ...
A new study finds hierarchical reconciliation sharply improves forecast coherence while topology-aware conformal calibration fails a matched-null test.
A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.
A hierarchical Pd@CoAl-LDH/Ti3C2 nanosheet array catalyst achieved 99.2% yield in a model Heck coupling within 50 minutes and was reused ...
A lean-oriented Kano–QFD framework assigned 13 engineering characteristics to three resource-priority tiers for a multisensory aromatherapy wearable accessory, highlighting four ...
A geometry-aware mesh network achieved 80.46% accuracy across five dental occlusion classifications in a 200-scan proof-of-concept study using simulated quantum ...
A hierarchical deep-learning framework classified five lung and colon tissue classes with 98.50% accuracy on LC25000 and 82.01% on the ...
A study summarized in its abstract estimates that BRICS-5 and the expanded BRICS group converged technologically toward the United States ...
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© 2025 Scienmag - Science Magazine