A machine learning model adjusts toxin readings for water-quality variability, enabling faster, lower-cost on-site testing without repeated recalibration CHUNGCHEONG PROVINCE, South Korea, July 10, ...

Orlando practitioner Dr. Ariel Casillas secures a 2026 Global Recognition Award, with judges citing his bilingual client ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely ...

Veteran-owned Ocala agency expands across Central Florida to help home service pros, and attorneys turn local search ...

Florida Gov. DeSantis signs 15 more laws, vetoes 3 others. Here’s the full list Florida Gov. Ron DeSantis has been a vocal ...

Explore Florida's largest fabric destinations with thousands of fabrics, sewing machines, expert classes, repairs, and ...

Knights’ football coach Scott Frost and basketball coach Johnny Dawkins believe the new legislation could have an instant ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

A team of scientists from Oak Ridge National Laboratory, Cleveland Clinic and IBM has calculated nine molecular ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...