Sleep Emerges as the Strongest Predictor of Math Anxiety in Machine Learning Study of Middle Schoolers
A machine learning analysis of 556 middle school students found that sleep duration was the strongest predictor of mathematics anxiety, ...
A machine learning analysis of 556 middle school students found that sleep duration was the strongest predictor of mathematics anxiety, ...
Researchers used 7-Tesla MRI and a deep learning model to predict Trail-Making Test performance with 0.795 accuracy across psychiatric patients ...
Researchers in India have built a machine-learning framework that predicts lithium-ion battery temperature during discharge with around one degree Celsius ...
A retrospective cohort study of 482 very preterm infants finds that hemodynamically significant patent ductus arteriosus is independently associated with ...
A CT-based radiomic model outperformed the R.E.N.A.L. nephrometry score in predicting which patients with clear cell renal cell carcinoma would ...
Landslides rarely announce themselves, but in the red-bed basins of southern China they have been quietly rewriting the rules of ...
A study of fifteen local European plum varieties from Türkiye's Black Sea region documents wide variation in fruit traits and ...
A new InSAR study of southwestern Cyprus shows that active landslides in weak fine-grained rocks move fastest and that rainfall ...
Researchers have developed a hyperspectral deep learning framework, STAMPformer, that non-destructively predicts continuous frost damage severity in field-grown tea plants ...
Vietnamese researchers combined field trials with machine learning to show that a precisely timed spray of the cytokinin 6-benzyladenine boosts ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine