Article Highlights
Updates every hour. Last Updated: 20-Jun-2025 06:10 ET (20-Jun-2025 10:10 GMT/UTC)
National study evaluates the electricity cost burden of in-home medical equipment
Regenstrief InstituteIn a novel study evaluating the electricity costs of running common in-home durable medical equipment, a team of electricity, energy market, economics and health services researchers found that Americans who rely on equipment such as oxygen concentrators, CPAP machines, ventilators and peritoneal kidney dialysis machines face increased household monthly energy bills by up to 40 percent and even higher in states with elevated electricity rates. People whose health is very compromised tend also to face strained financial circumstances, and electricity costs to power this equipment is often a significant burden, notes study senior author Kosali Simon, PhD, M.A., of Regenstrief Institute and Indiana University. Use of this equipment is growing with a projected market increase from $43.3 billion in 2022 to $64.8 billion in 2027.
- Journal
- Scientific Reports
Local learning, global thinking: the power of digital dialogic teaching
Higher Education PressThis study highlights how an online dialogic teaching approach in a university media literacy class fostered students’ global awareness, critical solidarity, and a sense of community when the media provided conflicting narratives of us versus them during the COVID-19 pandemic.
- Journal
- Frontiers of Digital Education
Metformin could treat health conditions of old people, particularly those with functional disability, study finds
University of SharjahMetformin, one of the most used drugs on the planet, has the potential to improve old age ailments like physical disability, muscle weakness and poor handgrip.
- Journal
- Archives of Gerontology and Geriatrics
New strategy to prevent explosions in industrial polymerization: TEMPO inhibits thermal runaway of TBPB
Maximum Academic Press- Journal
- Emergency Management Science and Technology
Humpback whales’ use of memory to time their migration could prove less effective amid climate change
McGill University- Journal
- Scientific Reports
Tracking contaminant accumulation in Arctic marine mammals
McGill UniversityA new method of tracking the dietary habits and contaminant exposure of animals in Arctic marine ecosystems is providing critical insights as climate change reshapes the region's food web. A team of researchers led by Adam Pedersen, a recent PhD graduate from McGill University’s Department of Natural Resource Sciences, outline the approach in a new study. Their method uses carbon isotopes of fatty acids to better understand what migratory species, such as killer whales, and Arctic predators, such as polar bears, eat and how they accumulate harmful contaminants.
- Journal
- Science of The Total Environment
A global network of researchers pools sound data on biodiversity
INRAE - National Research Institute for Agriculture, Food and EnvironmentFor the first time passive acoustic monitoring data from all ecological realms have been catalogued on a global scale in a collective effort uniting 350 collaborators working in 57 different countries, coordinated by an INRAE team with French involvement from the Centre National de la Recherche Scientifique (CNRS), the Institut de Recherche pour le Développement (IRD) and the Muséum National d’Histoire Naturelle (MNHN). A summary published in Global Ecology & Biogeography highlights the importance of international collaboration on high-stakes issues such as climate change and the decline in biodiversity.
- Journal
- Global Ecology and Biogeography
Research warns of the hurdles facing the EU's energy and digital transition
Universitat Oberta de Catalunya (UOC)The study shows that digitalization is not contributing to achieving the energy transition
- Journal
- Environmental Science & Policy
A smarter way to check battery health—fast, easy, and accurate
KeAi Communications Co., Ltd.As lithium-ion batteries (LIBs) continue to power electric vehicles and energy storage systems, their long-term health remains a critical challenge. A groundbreaking new method combines deep learning with physical modeling to deliver rapid, accurate degradation diagnosis at the electrode level. This innovative approach requires only 11 data points from a charging cycle, achieving reliable predictions in just 2.5 minutes. By simplifying the data needed and eliminating the need for specialized equipment, this technique offers a faster, more accessible solution to battery health monitoring—paving the way for safer, more efficient battery management in large-scale applications.
- Journal
- eScience
- Funder
- National Key Research and Development Program of China, Beijing Natural Science Foundation, National Natural Science Foundation of China