Scientists at the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, have captured real-time images showing how a key brain enzyme organizes itself to help memory formation. Their study, published in Nature Communications, reveals that the enzyme CaMKII forms mixed α/β subunit structures whose interactions stabilize learning-related signals in neurons.

Published in ACS Catalysis on December 21, 2025, the article introduces ChemOntology, a new artificial intelligence system that rapidly explores and analyzes chemical reactions using human-like intuition.

WashU Medicine researchers find stimulant medications don’t affect attention-controlling regions of the brain, as previously thought. Brain scans show the drugs affect brain areas involved in wakefulness and reward.

Artificial intelligence (AI) is rapidly advancing across modern healthcare, yet its role in pediatric surgery remains limited and ethically complex. 

Due to the unique conditions of the space environment and abundant resources, the field investigation and study of the Moon, Earth’s sole natural satellite, represent a crucial milestone in China’s forthcoming deep space endeavors. The successful collection of lunar soil by the Chang’E-5 mission signifies the next phase of the lunar exploration program, which aims to establish a preliminary research station on the lunar south pole. Highly adhesive fine dust particles with an adhesion strength of 0.1 to 1.0 kN/m², which originate from the regolith, disperse throughout the lunar surface. These particles exhibit a lasting attraction and subsequent persistent adhesion to the surface of spacecraft or spacesuits. The accumulation of highly adhesive dust on spacecraft presents a serious issue to hinder long-term extravehicular activity and the establishment of a permanent station on lunar surface. In contrast to the immediate physical damage caused by hypervelocity (> 1.0 km/s) impacts, this adhesion observed at low- velocity (0.01 to 100 m/s) collisions can more unobtrusively and mortally degenerate the performance of equipment. In recent years, many interaction models have been developed to forecast the adhesion and ejection dynamics of lunar dust on various surfaces. Most researches on the electrostatic force applied on dust particles near the surface use point-charge approximation. Although this simplification makes the simulation easier, the error can be large due to the polarization of dust induced by the image charge.