Researchers have developed a novel ratiometric SERS platform utilizing dual functionalized bioprobes (TiO₂-CV-rBSA-FA and IO-AR-PDA-EpCAM), addressing the critical challenge of signal instability in SERS-based detection of rare circulating tumor cells (CTCs). This platform establishes a stable and reliable approach for sensitive CTC detection.

Many hydrogen strategies for energy-intensive industries do not adequately address geopolitical risks. Instead, they often assume stable trading relationships and reliable alliances – assumptions which are increasingly questionable in light of recent conflicts and sanctions. Policymakers and businesses should therefore give greater consideration to alternative future scenarios. This is the key finding of a new study published in Nature Reviews Clean Technology.

In short, we report an inverse phase enhancement (IPE) strategy to fabricate high-performance graphene paper (IPE-GP) exhibiting high strength (63.3 MPa) and high thermal conductivity (1325 W/m·K) at a minimal polymer loading of 5.9%. Using this conspicuous IPE-GP, we fabricated graphene composites that attained a record in-plane thermal conductivity of 802 W/m·K of polymer bulk composites.

Researchers have developed an artificial intelligence model that learns from real match data to evaluate and improve football attacking strategies against compact "low block" defenses. By modeling both on-ball decisions and off-ball movements, the model generates more coordinated and creative attacking solutions, offering practical decision support for coaches and analysts.

A recent study has constructed a disaster picture of the "April 27" tornado that struck Guangzhou, China in 2024 by integrating Unmanned Aerial Vehicle (UAV) imagery, detailed ground-based post-disaster surveys, and high-precision meteorological simulations. The research analyzed the tornado's trajectory, intensity, and its impact on building structures, providing a reference for tornado disaster assessment and the wind-resistant design of engineering structures in South China.

Artificial intelligence can dramatically speed up the painstaking work of tracking wildlife with remote cameras, cutting analysis time from months or even a year to just days while producing nearly the same scientific conclusions as humans. That’s according to a new study led by researchers at Washington State University and Google, published in the Journal of Applied Ecology. The team tested whether a fully automated AI system could replace humans in processing hundreds of thousands to millions of camera trap images collected in Washington, Montana’s Glacier National Park, and Guatemala’s Maya Biosphere Reserve.

High concentrations of free fatty acid (FFA) in ketotic dairy cows activate endoplasmic reticulum (ER) stress pathways, contributing to mammary epithelial cell apoptosis and reduced milk yield. The study sets the stage for in vivo trials to validate ER stress inhibitors like Tauroursodeoxycholate (TUDCA) as practical solutions for managing ketosis and enhancing dairy cows health.

The University of Hong Kong (HKU) has spearheaded an international research collaboration to develop a pioneering theoretical framework that deciphers the predictability of complex networks. A research team including Professor Qingpeng ZHANG’s group at the HKU Musketeers Foundation Institute of Data Science (HKU IDS) and the HKU Li Ka Shing Faculty of Medicine, together with researchers from Zhejiang University and Sapienza University of Rome, has developed a new theoretical framework to understand the predictability of complex networks.