Crystal-free mechanoluminescence illuminates new possibilities for next-generation materials
Peer-Reviewed Publication
Updates every hour. Last Updated: 17-Dec-2025 01:11 ET (17-Dec-2025 06:11 GMT/UTC)
Kyoto, Japan -- Forests have been benefitting humanity since long before the health benefits of forest bathing were discovered. They are major carbon sinks that provide a wide range of ecosystem services, including timber and non-timber forest products, recreation, and climate regulation.
Accurately assessing forest biomass is essential for understanding carbon storage and supporting sustainable forest management, but forests are vast three-dimensional structures and therefore difficult to study. Until recently, even measuring the height of a single tree was a challenging task, let alone understanding the size of its canopy. Conventional ground-based tree surveys are labor-intensive and often difficult to conduct in remote or steep terrain, limiting their use in large-scale assessments. This has also restricted researchers' ability to develop accurate biomass estimation formulae.
However, new drone-based technologies such as LiDAR, or Light Detection and Ranging, are becoming increasingly accessible to researchers and have enabled more efficient measurement of tree structures and forest biomass. Emitting hundreds of thousands to millions of laser beams per second, LiDAR obtains three-dimensional information about the objects it scans.
Almost every big life change, from starting a new school to changing jobs or moving towns, elicits the same advice: get involved and make friends. While there’s some truth to that guidance, it takes more than simply participating in activities to grow a social network, according to research by an international team.
Sporadic-E is a phenomenon that occurs in the ionosphere that can disrupt radio communications. Through simulations, researchers have found that rising CO2 levels in our atmosphere could lead to sporadic-E becoming stronger, occur at lower altitudes, and persist longer at night.
A fundamental link between two counterintuitive phenomena in spin glasses— reentrance and temperature chaos—has been mathematically proven for the first time. By extending the Edwards–Anderson model to include correlated disorder, researchers at Science Tokyo and Tohoku University provided the first rigorous proof that reentrance implies temperature chaos. The breakthrough enhances understanding of disordered systems and could advance applications in machine learning and quantum technologies, where controlling disorder and errors is crucial.
Scientists from Shibaura Institute of Technology have developed a power-free acoustic testing system that uses the sound of bursting bubble wrap as an impulse source. The system can detect foreign objects in pipes with a 2% error margin using wavelet-based sound analysis. This eco-friendly, low-cost approach eliminates the need for specialist equipment, making on-site inspections safer and easier, even in flammable environments.