Researchers at Queen Mary University of London have discovered that tiny photosynthetic bacteria band together into protective "herds" when attacked by predators – a survival strategy that could also influence how carbon is stored in the world's waters. 

New study reveals that two widely studied ultrathin superconducting materials are more sophisticated than they appear. Although they seem to behave like simple superconductors with a single energy gap, they actually contain two strongly interacting superconducting states that work together and disguise themselves as one. This finding resolves a long-standing mystery about how these materials behave, providing new insight into superconductivity that could help scientists design better superconducting materials for future technologies such as quantum computers, ultra-efficient electronics, and advanced sensors.

This review synthesizes the evolution of aquatic ecosystem health assessment and proposes a paradigm shift from descriptive monitoring to predictive, intelligent governance. Led by Yong Liu from Peking University, the research team introduces a gene-to-landscape framework that integrates multi-omics, environmental DNA, ecological observation, and AI-enabled remote sensing to enable early warning, causal attribution, and anticipatory decision support for freshwater ecosystems under global change.

A Harbin Institute of Technology team proposes a mixed-frequency heterodyne demodulation architecture for dual-gas LITES sensing using a single quartz tuning fork. The sensor achieves low-crosstalk simultaneous detection of methane and acetylene, simplifying system design for cost-effective industrial safety and environmental monitoring.

This review summarizes flexible electromagnetic induction-type tactile sensors that convert touch-induced magnetic-flux variation into electrical signals. It establishes an integrated framework linking magnets, coils, soft materials, signal processing and circuits, and discusses their relevance to wearable electronics, medical monitoring, human-machine interfaces and intelligent robotics.