Researchers redesigned a superconducting solenoid to significantly reduce spherical aberration and improve electron beam emittance. The new design achieved a 47% reduction in transverse emittance under high-intensity beam conditions.
A new metamaterial design enables real-time stiffness visualization and self-sensing capabilities, paving the way for intelligent systems. The research team created a linear relationship between stiffness and active hinges, allowing for precise tuning and adaptation in mechanical systems.
A team from Chongqing Medical University developed a model that integrates sMRI and fMRI data to predict treatment responders, achieving high accuracy rates. The dual-branch graph attention network (DBGAN) captures coordinated brain changes linked to emotion regulation and memory processing.
A new study from Murdoch University found that 66% of participants with Complex Regional Pain Syndrome (CRPS) experienced migraines that started or worsened after CRPS onset. This research highlights the connection between CRPS and migraine, suggesting a possible common cause for both conditions.
A tiny sensor developed by KAUST researchers can detect hazardous head impacts with 360-degree accuracy, distinguishing minor bumps from severe blows. The device's innovative design allows it to operate without power or routine upkeep, paving the way for next-generation wearable safety systems.
Researchers developed a novel theory that enables precise control of heat conduction in materials with asymmetric microstructures. This innovation has potential applications in energy harvesting and protecting heat-sensitive electronics.
The research team led by DGIST Professor Su-Il In developed a high-performance next-generation betavoltaic battery with an energy conversion efficiency of 10.79%. This is a significant improvement over the previously reported highest efficiency for perovskite-based betavoltaic batteries.
Astronomers have discovered that black holes don't just consume matter — they manage it. Researchers found that black hole binary systems switch between powerful jets and energetic winds—never producing both simultaneously—and both types of outflows carry away comparable amounts of mass and energy.
A new study assesses the EU Energy Performance of Buildings Directive through a social justice lens, highlighting how renovation policies can widen existing social inequalities. The Composite Building and Social Vulnerability Index reveals markedly different levels of vulnerability across EU countries.
A novel deep learning model, LA-TextCNN-BiLSTM, has been developed to improve the accuracy of automatic disease classification using ICD-11 for Chinese Electronic Medical Records (EMRs). The model achieved an 83.86% accuracy rate and demonstrated robust performance in multi-label classification.
Researchers have developed a strategy to enhance the stability of CsPbI3 perovskite nanoplatelets by incorporating formamidinium, which improves bulk thermodynamic stability and surface ligand binding. This approach leads to highly oriented superlattices with improved linear polarization of light emitted.
Researchers detected up to 500 microscopic plastic particles per square meter per day in a rural woodland area, almost twice as much as in an urban location. The study reveals that trees and vegetation capture airborne microplastic particles from the atmosphere.
Veteran male athletes over 50 are more likely to experience abnormal heart rhythms during training if they have scarring in their hearts. Exercise itself is not the cause, but can act as a trigger for dangerous heart rhythms in those with underlying heart issues.
Researchers in Hong Kong will have greater opportunities to share their work with a global audience through an open access agreement between JULAC and Taylor & Francis. The partnership enables OA publishing in over 2,000 journals without payment of an OA article publishing charge.
A research team at KAIST has proposed an AI-driven approach to solve the long-standing mystery of gene function. The team suggests combining computational biology with experimental biology to discover gene functions, leveraging tools like AlphaFold and generative AI.