A comprehensive perspective article, authored by over 40 experts across China, delineates this trajectory, presenting an integrated roadmap that intertwines standardization, pioneering research, personalized health management, and industrial innovation.

A study from Shandong Technology and Business University uses game theory to explore rural distributed photovoltaic (PV) development from a prosumer lens. It identifies village-PV enterprise collaboration as key to scaling adoption, highlights the need to balance self-consumption and grid capacity to avoid curtailment, and provides targeted policy guidance for rural energy transitions.

Chronic lung infections pose a disproportionate threat to older adults, yet the biological mechanisms behind age-specific vulnerability remain poorly understood. A major barrier has been the lack of experimental models that allow long-term infection without overwhelming mortality. This study establishes a stable and survivable model of chronic Pseudomonas aeruginosa lung infection in aged mice by delivering bacteria through agar bead encapsulation. The approach enables persistent bacterial colonization while avoiding the lethal outcomes seen with conventional methods. By recreating key features of chronic infection in aging lungs, the model opens new opportunities to explore host–pathogen interactions, immune decline, and disease progression in later life.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter interactions. To address this, this study integrates first-principles calculations with machine learning (ML) for rapid gas sensitivity prediction. Using black phosphorus (BP) as a model, this study analyzes adsorption-induced changes in electronic and structural properties across 21 gases. Key descriptors derived from first-principles calculations train six ML models, with the Extra Trees (ET) model achieving 96% accuracy and top F1-scores in validation. SHAP analysis identifies adsorption energy, p-orbital center, valence/conduction band edges, and Fermi level as dominant descriptors. Morover, a lightweight Python-based system enables real-time response prediction using these five features, demonstrating strong potential for guided sensor design.