A remote robot-assisted laparoscopic hysterectomy across 1200 km was successfully completed by using the Edge Multi-Port Endoscopic Surgical Robot MP1000 (Edge MP1000) and 5G communication technology.

In the aesthetic-concerning maxillary alveolar basal bone, which requires quantifying a total of 9 indices from length and width dimensional, this study collected a total of 4,000 cone-beam computed tomography (CBCT) sagittal images, and developed a deep learning model composed of a backbone and multiple regression heads with fully shared parameters to intelligently predict these quantitative metrics. This work validates that the demographic parity strategy enables the AI algorithm with greater model generalization ability, even for the highly variable traits, which benefits for the appearance-concerning maxillofacial surgery.

Metamaterials are artificial materials that do not occur in nature. Their components function like atoms in conventional materials but have special optical, electrical and magnetic properties. Interaction between the components is crucial to a metamaterial’s functionality. Previously a component could usually interact only with its immediate neighbors. Researchers at the Karlsruhe Institute of Technology (KIT) have developed a mechanical metamaterial with which these interactions can also be triggered at greater distances within the material. Potential uses of the material include measuring forces and structural monitoring. The findings have been published in Nature Communications. (DOI: 10.1038/s41467-024-52956-5).

In a paper published in SCIENCE CHINA Chemistry, Mn-doped-Cu catalyst was synthesized and employed for electrochemical NO₃^--to-NH₃ conversion. the Mn dopant enhanced the kinetic rate of NO₂^--to-NH₃ and induced a distinct configuration of *NO. This alteration decreased the energy barrier of *NO-to-*NOH, consequently promoting the conversion of NO₃^--to-NH₃.

A research team that focuses on the field of flexible pressure sensing has demonstrated a non-hygroscopic and ultratough ionogel. Based on this ionogel, they have developed iontronic pressure sensor arrays with humidity-insensitivity and broad linear response range. These sensor arrays have been applied for real-time intra-articular pressure monitoring in animal models, showcasing its potential for implanted pressure sensing in humid and high-pressure environments.

Estimating composite material properties can be computationally expensive and time-consuming. Researchers propose a Reduced Basis Homogenization Method (RBHM) to enhance homogenization based on a Finite Element Method (FEM). This RBHM significantly improves computational efficiency while maintaining high accuracy.

The research team led by Dr. Hyung-Suk Oh and Dr. Woong Hee Lee at the Clean Energy Research Center at Korea Institute of Science and Technology (KIST) has developed a silver-silica composite catalyst capable of reversible local pH control through a silica-hydroxide cycle, inspired by Earth’s natural cycles.