A clearer view of change: advanced electron microscopy reveals battery phase shifts
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Dec-2025 05:11 ET (26-Dec-2025 10:11 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.
Kyoto, Japan -- Down here on Earth we don't usually notice, but the Sun is frequently ejecting huge masses of plasma into space. These are called coronal mass ejections (CMEs). They often occur together with sudden brightenings called flares, and sometimes extend far enough to disturb Earth's magnetosphere, generating space weather phenomena including auroras or geomagnetic storms, and even damaging power grids on occasion.
Scientists believe that when the Sun and the Earth were young, the Sun was so active that these CMEs may have even affected the emergence and evolution of life on the Earth. In fact, previous studies have revealed that young Sun-like stars, proxies of our Sun in its youth, frequently produce powerful flares that far exceed the largest solar flares in modern history.
Huge CMEs from the early Sun may have severely impacted the early environments of Earth, Mars, and Venus. However, to what extent explosions on these young stars exhibit solar-like CMEs remains unclear. In recent years, the cool plasma of CMEs has been detected by optical observations on the ground. However, the high velocity and expected frequent occurrence of strong CMEs in the past have remained elusive.
Researchers at Fujita Health University and collaborators identified "hyper-maturity" in the hippocampus, excessive cellular aging, as a shared abnormality in mouse models of anxiety and other psychiatric disorders. By screening public transcriptomics datasets, they found hyper-mature signatures linked to increased anxiety. This study, published in Neuropsychopharmacology, extends beyond the authors’ previous findings on immature brain phenotypes, suggesting that both under- and over-maturation can disrupt emotional regulation, offering a new paradigm for psychiatric and aging research.