A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
News Medical on MSN
Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
Dot Physics on MSN
Python tutorial: Predicting maximum projectile distance when air resistance matters
Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! šā” This step-by-step tutorial teaches you how to model real-world projectile motion using ...
Dot Physics on MSN
Learn how to use Python functions for projectile motion simulations
Master projectile motion simulations using Python functions! šā” This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.
ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this ...
Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.
Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
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