A smarter way to measure how streams clean themselves
Peer-Reviewed Publication
Updates every hour. Last Updated: 17-May-2026 19:15 ET (17-May-2026 23:15 GMT/UTC)
A widely used method for measuring how well streams absorb excess nutrients has a hidden flaw: it systematically overestimates uptake length under high-nutrient conditions. Researchers at Duke Kunshan University have derived a corrected zero-order analytical approach that better captures stream nutrient processing when nutrients are abundant, improving the accuracy of tools used to assess river health and guide restoration decisions.
A new review published in the journal Addiction confirms drinking causes substantial harm to health. Some of those harms may be reversible if the person reduces or stops drinking.
A new study published in Research describes a deep-learning system designed to assist lumbar spine MRI at the point of image acquisition rather than only after scanning. The system, named Lumbar VNet Pro (LVP), was embedded directly into the MRI workflow and evaluated in a multicenter clinical setting. According to the study, the platform supports automated anatomical localization, scan-plane optimization, and real-time structural analysis during MRI scanning, offering a possible route toward more standardized and intelligent imaging workflows.
A weekly dose of semaglutide (2.4 mg) leads to a clinically significant reduction in body mass index (BMI) and related health outcomes in young adults with severe obesity who are treatment resistant following hospital-based non-pharmacological obesity care during childhood, according to a randomised controlled trial being presented at this year’s European Congress on Obesity (ECO) in Istanbul, Turkey (12-15 May).
New research presented at this year’s European Congress on Obesity (ECO 2026) in Istanbul, Turkey (12-15 May) shows that people who gain the highest amount of weight across adulthood are at greatly increased risk of certain obesity related cancers. The study is by Associate Professor Anton Nilsson and Associate Professor Tanja Stocks, Department of Translational Medicine, Lund University, Malmö, Sweden, and colleagues.