Y. Feng

This study examines the link between patient portal engagement and weight loss success post-bariatric surgery.

Research focuses on managing plasma instability during nuclear fusion experiments.

Millisecond pulsars are key to detecting gravitational waves and understanding physics.

Module-0 showcases innovative detection technology for studying challenging neutrino particles.

BBATProt uses deep learning to improve protein function prediction accuracy.

This study examines how positively charged kaons interact with argon in high-energy experiments.

Research shows DNMT3AR882H mutations are key in early leukemia but less critical later.

High blood pressure may lead to weaker bones and increased osteoporosis risk.

Study explores how language models can predict patient discharge using EHR logs.

New methods improve energy measurement in liquid argon time projection chambers for particle physics.