Chinese PLA General Hospital study shows smarter brain surgery improves survival
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 20:16 ET (30-Oct-2026 00:16 GMT/UTC)
Researchers from Chinese People’s Liberation Army General Hospital, China, explored the use of techniques such as ‘intraoperative MRI (iMRI)’, ‘neuronavigation’, and ‘neuromonitoring’ to remove a rare and difficult-to-treat brain tumor subtype called ‘IDH-mutant low-grade corpus callosum glioma’. These techniques enabled safer and more complete tumor removal by helping surgeons delineate the tumor in real time and avoid damage to surrounding tissue, thereby improving survival by more than three years compared to conventional surgery.
A new study developed a perception-driven display method that dynamically balances the visibility of real and virtual content in optical see-through augmented reality glasses. By combining polarization blending with real-time analysis of human visual perception, the system enhances real-scene brightness while preserving virtual object appearance. User studies and a benchtop prototype demonstrated improved performance under changing lighting conditions. The findings may support safer, more practical, and photorealistic AR applications across multiple industries.
A new study demonstrates that ramped pyrolysis/oxidation (RPO) can directly distinguish the sources of organic carbon transported by rivers after earthquakes and extreme rainstorms. By tracing carbon from vegetation, soils, and sedimentary rocks, the technique reveals how different natural hazards reshape carbon cycling and provides a powerful new tool for investigating climate-carbon feedbacks in rapidly changing mountain landscapes. The study was recently published in Science China Earth Sciences.
How can the long-term restoration effects of China’s Shan-Shui Initiative, recognized by the United Nations as one of the first World Restoration Flagships, be scientifically assessed? A research team from Chang’an University used long-term remote sensing and climate datasets from 2011 to 2024 to conduct a quantitative assessment of 25 early Shan-Shui Initiative across China. By developing an improved Remote Sensing Ecological Index, or kRSEI, the study found that vegetation greening does not always translate into broader improvements in satellite-observed ecological conditions. It also identified region-specific restoration pathways for forests, grasslands and croplands, and highlighted soil moisture as a key factor associated with the long-term stability of restoration outcomes. The findings provide a remote-sensing-based assessment framework that may support the Beautiful China initiative and offer a quantitative reference for evaluating large-scale ecological restoration projects.
A new study by Queen Mary University of London mathematician Professor Ginestra Bianconi proposes a new perspective on one of the deepest questions in modern physics: how can the Universe become increasingly structured and complex while still obeying the second law of thermodynamics?
Extreme heat is not only making cities less liveable; it is also reshaping who can afford to live where. The highest levels of vulnerability to climate gentrification are no longer found in the urban core, but in the metropolitan periphery. To help anticipate this process, researchers at the Institute of Environmental Science and Technology of the Universitat Autònoma de Barcelona (ICTA-UAB) have developed the first metropolitan climate and housing vulnerability index for Barcelona, with data that can be explored street by street across 36 municipalities.
Researchers have developed prototype thin-film electronic modules that can move, dock, and undock with other devices. The module is composed of an actuator layer—that bends when heated—layered onto a circuit. The prototype can be arranged and manipulated to establish a mechanical and electrical connection simultaneously.
MIT researchers have found that when salt levels rise, aquatic microbial populations maintain their overall growth rate, but they lose diversity as faster-growing strains tend to take over the community.
Seoul National University College of Engineering announced that a research team led by Prof. Jun Won Choi of the Department of Electrical and Computer Engineering has independently developed SafeDrive, an end-to-end (E2E) autonomous driving AI model aligned with the latest global trends in autonomous driving technology. The work has been selected as a Highlight Paper at the prestigious Conference on Computer Vision and Pattern Recognition (CVPR) 2026.