Researchers from Tsinghua University have developed a new angle-resolved analysis method for ultrafast liquid electron diffraction, offering a route to retrieve more complete three-dimensional structural dynamics from time-resolved diffraction data. The study, titled “Pair Distribution Function Beyond Isotropy: Angle-Resolved Analysis for Ultrafast Liquid Diffraction,” has been accepted by Ultrafast Science.

Researchers from Donghua University and Yanshan University have developed an enhanced neural network called EF-YOLO, which significantly improves the automated detection of colorectal polyps—a key precursor to colorectal cancer. By integrating advanced modules such as transformer, deformable convolution, coordinate attention, and a newly designed multi-scale aggregation mechanism, the model achieves a mean average precision (mAP) of 96.60% on standard medical datasets. This represents a major step forward in reducing missed detections during colonoscopy and supporting early clinical intervention.

Underwater landslides are a destructive force, putting vital submarine infrastructure at serious risk and can even generate damaging tsunamis. By analyzing research completed from 2000 to 2025, scientists tracked this phenomenon to better understand what triggers the landslides, how they move and generate tsunamis, and the dangers they pose.

Modern large-scale warfare imposes extreme psychological stress on soldiers at the front. Ukrainian soldiers are being trained in Norway to help better protect them from this trauma.

Researchers at the University of Tennessee, Knoxville have uncovered how a molecular “lock” helps ATP synthase—the enzyme that powers nearly all life—efficiently produce cellular energy. By revealing how the enzyme’s structure controls proton flow and energy conversion, the work offers new insight into one of biology’s most fundamental and essential processes.

Inspired by the multimodal perception characteristics of insect antennae (for force, temperature and gas), the ECUST interdisciplinary team developed the Electronic Multifunctional Sensing Antenna (EMSA)—a flexible thin-film self-decoupling multimodal sensor fabricated via a maskless laser direct writing process. The sensor realizes intrinsic decoupling of temperature and strain, as well as simultaneous thermo-mechanical-gas trimodal monitoring, with four core technological breakthroughs.