A team from Shanghai Ninth People’s Hospital reviewed 216 foot and ankle cases managed through a medical–engineering collaboration workflow powered by 3D printing and digital planning. Rather than treating 3D printing as a standalone tool, the researchers built an integrated system that connects imaging, virtual surgical planning, personalized guides, rehabilitation devices, and even patient-specific implants.

The results highlight a shift from “one-size-fits-all” surgery toward truly individualized treatment.

Despite the ultra-high theoretical capacity of silicon (Si) anodes, their practical application is severely hindered by drastic volume effect and an unstable solid-electrolyte interphase (SEI). Atomic/molecular layer deposition (ALD/MLD) technology exhibits unique advantages in mitigating these challenges by constructing a stable and functionalized interface on Si anodes. This review summarizes recent advances and presents perspectives on ALD/MLD for Si anode interface engineering. Firstly, the existing interfacial challenges are analyzed: mechanical failure and structural degradation, complex/unstable SEI, and insufficient interfacial charge transfer. Subsequently, the key role and mechanism of ALD/MLD in enhancing the performance of Si anodes are elucidated from an atomic/molecular-scale interface engineering perspective. Crucially, three key aspects are emphasized: enhancing structural stability through mechanical confinement and stress dissipation, inducing the formation of stable SEI via ingenious interface chemical design, and constructing efficient ion/electron transport channels to optimize interfacial charge transfer kinetics. Finally, future research directions on ALD/MLD for Si anode interface engineering are proposed.

AI4S in Educational Research, edited by Professor Chen Xiangdong from the Department of Education Information Technology at the Faculty of Education, East China Normal University, presents a core research finding of the Chinese Association for Artificial Intelligence (CAAI). The book systematically constructs a theoretical and practical framework for AI4S-empowered educational research, providing essential academic guidance and actionable references for educational researchers and administrators.

A research team has developed a data-driven framework to distinguish the flavors and varieties of Minnan oolong teas by combining electronic sensory technologies with high-resolution metabolomics. 

Reported in Science Bulletin, a new study presents the design and fabrication of an ultra-robust and multifunctional ionic biogel with multiscale architecture via a synergistic structural engineering strategy, and demonstrates its application in self-powered human interaction.

This work introduces a self-cleaning lamination technique for two-dimensional (2D) materials, using an elastic bevel stamp-assisted thermal lamination (EBTL) approach. By actively expelling interlayer impurities such as water and oxygen during lamination, the method eliminates bubbles, wrinkles, and interface defects, achieving ultra-clean van der Waals interfaces. The technique enables large-area, damage-free stacking of monolayers, twisted bilayers, and complex superlattices, as well as fully vdW-laminated transistor arrays with high performance and low device-to-device variability.

A new study published in Chem Catalysis has revealed how dynamic Cu and Ti active sites in single-atom Cu-TiO₂ catalysts cooperate under light to reduce CO₂ to CO. The researchers from the Lanzhou Institute of Chemical Physics of the Chinese Academy of Sciences, conducted an experimental study of the dynamic interactions of CO₂ and H₂O molecules at the surface active sites of single-atom Cu-TiO₂ catalysts by integrating in-situ X-ray photoelectron spectroscopy with infrared spectroscopy.