Sleep isn't just a time for rest. Growing evidence suggests it may be one of the most powerful factors influencing how well we age, affecting everything from brain health and memory to hospital recovery and long-term independence. For more than two decades, Katie Stone, Ph.D., a sleep researcher at the Center for Aging Science of Sutter Health Research Institute has helped advance understanding of how sleep affects dementia, heart health, falls, fractures and healthy aging. Her research is helping to reshape how scientists think about sleep as a driver of long-term health.

The University of Tennessee Herbert College of Agriculture is now offering traditional and nontraditional students an opportunity to earn a bachelor's degree in agricultural business totally online.

When sudden rainstorms roll across Texas, flooding can erupt in a matter of minutes. From coastal bends facing storm surges to low-water crossings in San Antonio, flood risks often spike block by block long before regional alerts sound. That means some people could have ankle-deep water in their yard by the time a flash flood warning notification sounds on their phone.

But a better monitoring system could get the word out more swiftly — and also more accurately. Researchers at The University of Texas at San Antonio have developed a self-sustaining, artificial intelligence-powered flood warning system designed to spot dangerous water accumulation at the street level.

Led by Chen Pan, PhD, assistant professor of electrical engineering in the Margie and Bill Klesse College of Engineering and Integrated Design, the team engineered a field-ready prototype that combines solar energy harvesting, multi-sensor environmental tracking, long-range wireless radios and on-device machine learning.