The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Ohio University

Learning to be 'comfortably uncomfortable': How pedagogy trips transform students

The most impactful lessons aren’t always learned in a lecture hall. Two hands-on study away programs in OHIO’s Patton College ...
IEEE

Reconceptualizing Active Learning: A Refined Framework for Methods, Frontiers, and Applications

Abstract: A refined methodological framework for active learning (AL) techniques is proposed through a systematic review of conventional categorization and recent developments. The proposed framework ...
IEEE

Active Suspension Hydraulic Systems With Noise and Disturbances: A Novel Finite Time Variable Gain Control Method

Abstract: In this paper, a finite-time variable gain control method is proposed to address noise and disturbances in active suspension hydraulic systems (ASHS). The proposed method integrates ...