Early fruit ripening is a valuable trait for grape cultivation, but the underlying epigenetic mechanisms have remained elusive. 

Fruit firmness plays a critical role in apple quality, influencing both shelf life and consumer preference. 

Rechargeable magnesium batteries (RMBs) have been considered a promising “post lithium-ion battery” system to meet the rapidly increasing demand of the emerging electric vehicle and grid energy storage market. However, the sluggish diffusion kinetics of bivalent Mg²⁺ in the host material, related to the strong Coulomb effect between Mg²⁺ and host anion lattices, hinders their further development toward practical applications. Defect engineering, regarded as an effective strategy to break through the slow migration puzzle, has been validated in various cathode materials for RMBs. In this review, we first thoroughly understand the intrinsic mechanism of Mg²⁺ diffusion in cathode materials, from which the key factors affecting ion diffusion are further presented. Then, the positive effects of purposely introduced defects, including vacancy and doping, and the corresponding strategies for introducing various defects are discussed. The applications of defect engineering in cathode materials for RMBs with advanced electrochemical properties are also summarized. Finally, the existing challenges and future perspectives of defect engineering in cathode materials for the overall high-performance RMBs are described.

The S-scheme heterojunction of CdS-In₂O₃ was fabricated by growing CdS quantum dots on the surface of In₂O₃ nanotubes through an electrostatic self-assembly method. The hollow nanotube structure endows the composites with a larger specific surface area and abundant H₂ generation sites. Moreover, the formation of the S-scheme heterostructure effectively facilitates the separation and transfer of photogenerated carriers in CdS-In₂O₃ composites. Consequently, compared to pure CdS, the photocatalytic performance of CdS-In₂O₃ composites is significantly enhanced.

Esophageal cancer is a prevalent and aggressive malignancy associated with a poor prognosis. Metabolomics and microbiomics have emerged as promising approaches for investigating the tumor microenvironment and monitoring dynamic changes throughout the treatment process. These methodologies facilitate the direct observation of phenotypic alterations with high sensitivity, throughput, and adaptability across diverse sample types. Microbial genomic data play a crucial role in predicting the metabolic potential of microorganisms, whereas metabolomics offers direct evidence of active metabolic pathways under specific conditions. This review presents novel insights into the pathogenesis, diagnosis, and treatment of esophageal cancer through the application of metabolomics and microbiomics. Future advancements in the integration of multi-omics data are expected to further elucidate the metabolic mechanisms and pathophysiological processes underlying esophageal cancer, thereby laying a robust scientific foundation for early diagnosis, prognostic assessment, and personalized treatment strategies.