Researchers at Soochow University have conducted a comprehensive electrokinetic study on cation-coupled electrochemical CO₂ reduction to formic acid or formate. Published in Science Bulletin, the study provides compelling experimental evidence that supports existing computational predictions: the reaction proceeds through sequential electron and proton transfers, rather than a concerted proton-coupled electron transfer pathway.

A research team from Zhengzhou University has systematically sort out the mechanistic frameworks and theoretical underpinnings of triboelectric nanogenerators (TENGs), concurrently introducing four cutting-edge application frontiers: fluid energy harvesting, self-adaptive sensors and systems, high-voltage power sources, and interface probes. Beyond dissecting persistent technological bottlenecks, this review establishes actionable development trajectories to steer next-generation advancements.

In a paper published in National Science Review, a research team proposed a highly sensitive soft smart contact lens, establishing an eye-machine interaction (EMI) system for controlling external coded objects. The lens demonstrates excellent biocompatibility, and its feasibility for practical applications has been successfully validated through drone flight control experiments.

In a paper published on aBIOTECH, the authors introduce a novel method, phosphate affinity tag-switch (PAT-switch), for simultaneous profiling of phosphorylation and S-nitrosylation in plants.

In a paper published on aBIOTECH, the authors integrated multi-trait GWAS (MTAG) and genetic network analysis to decode the genetic architecture of 18 agronomic traits across 2,448 maize inbred lines. This approach uncovered pleiotropic loci missed by single-trait GWAS and revealed interconnected regulatory networks among plant architecture, yield, and flowering traits.

In a paper published on aBIOTECH, the authors systematically summarize the current progress in understanding the regulatory mechanisms of m⁶A in plants and discuss emerging strategies for exploiting m⁶A modification in crop improvement.

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning to predict maximum crown width height (HMCW) in Chinese fir with unprecedented accuracy.