In a recently study published in Engineering, researchers from China University of Petroleum (East China) and Fuzhou University introduce a biomimetic enamel-based superhydrophobic coating. This innovative material, designed for wear resistance, offers self-repairing and buffering capabilities. Its strong erosion resistance makes it a valuable tool for advancing offshore oil and gas field operations.

Groundbreaking research in Engineering reveals a unified theory for optical singularities in photonic microstructures with rosette symmetries. The study, by a team of researchers, uncovers the symmetry-protected nature of these singularities and formulates a symmetry matching condition, opening doors to enhanced photonics applications.

In the latest development for data storage technology, researchers have introduced a novel hybrid-layer optical data storage method, as reported in Engineering. This innovative approach utilizes high-orthogonality random meta-channels to encode data into both physical and virtual layers, presenting a potential solution to the ever-growing need for high-capacity storage. The study elaborates on the concept, experimental findings, and future prospects of this cutting-edge technology.

Researchers from the Chinese Academy of Sciences and Nanjing University of Chinese Medicine have engineered a more efficient enzyme for breaking down polyethylene terephthalate (PET), a common plastic in consumer products. By focusing on the β-sheet regions of IsPETase, they developed a variant called DepoPETase β that shows enhanced performance in depolymerizing PET waste, offering a potential solution to the growing plastic pollution problem.

A recent study has revealed the genetic factors responsible for sterol metabolism in rapeseed, a plant renowned for its health-boosting compounds.

A pioneering study conducted by Professor Fangyin Dai's team at Southwest University introduces a novel strategy for bone defect repair using flat silkworm cocoon (FSC) fiber scaffolds functionalized with magnesium ions (Mg²⁺). This innovative material not only addresses the limitations of traditional silk-based scaffolds but also exhibits superior immunomodulatory and osteogenic properties, thereby opening new avenues for cost-effective, sustainable, and highly efficient solutions in orthopedic regenerative medicine.

The findings reveal that the lattice constants of these compounds decrease with increasing pressure, with more significant changes observed when anions are substituted from Cl to I.

This paper introduces WisdomBot, a novel Large Language Model (LLMs) designed specifically for education. By incorporating educational theories and specialized knowledge, WisdomBot aims to overcome the limitations of general LLMs in educational domain. The model utilizes self-instructed knowledge concepts and instructions guided by Bloom’s Taxonomy for training. Additionally, during inference, it employs local knowledge base retrieval augmentation and search engine retrieval augmentation to enhance accuracy and professionalism of its responses. Experiments demonstrate the effectiveness of WisdomBot in generating reliable and professional educational content.

Researchers have developed a novel approach to enhance the generative capabilities of Large Language Models (LLMs) through the integration of Retrieval-Augmented Generation (RAG), specifically designed for complex financial tasks.