This study analyzes 30 surface-water metagenomes from four functionally distinct waterbody types in Beijing, revealing starkly differentiated antibiotic resistance gene (ARG) landscapes. Urban rivers sustained the highest ARG burden, while relatively isolated urban lakes exhibited the lowest. Notably, receiving waters linked to the South-to-North Water Diversion Project maintained an intermediate load yet displayed the strongest coupling between ARGs and mobile genetic elements (R²=0.965), signaling elevated mobilization potential at these hydrological interfaces. The findings provide a foundational ecological framework for tracking resistance transport and informing risk-oriented management of megacity aquatic networks.

Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.

Most reservoir computers are built with fixed connections. Researchers have developed a 16-kb self-rectifying memristor array that can physically reconfigure those connections as dynamics change. The hardware predicts Lorenz chaos and improves 30-day atmospheric cloud-thickness forecasting by 7.6% over a fixed-topology reservoir.

In a paper published in SCIENCE CHINA Earth Sciences, researchers quantified the cumulative heatwave exposure of different birth cohorts and regions in China over their lifetimes. The study reveals that younger generations face substantially higher lifetime heatwave exposure, while regions with lower economic development experience a mismatch between increasing climate hazards and limited adaptive capacity. These findings help reveal how lifetime heatwave exposure is distributed across generations and regions and provide a basis for designing targeted adaptation strategies.