J. Shen

Research explores machine learning models to classify opioid activities and improve predictions.

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

A new method for heart pacing improves patient outcomes and monitoring.

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

New insights into cervical cancer, particularly adenocarcinoma, offer hope for improved treatments.

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