In a paper published in SCIENCE CHINA Earth Sciences, a team led by Professor Chuanfeng Zhao from Peking University presents a comprehensive review of global sea-land breeze research. The study systematically synthesizes recent advances in identification methods, key observational benchmarks, and the complex meteorological and non-meteorological factors that govern these coastal wind systems. The authors highlight that future breakthroughs will depend on improving spatiotemporal precision and clarifying how aerosols influence sea-land breeze dynamics through micro-physical mechanisms.

The high annotation costs in medical detection tasks make semi-supervised object detection (SSOD) methods particularly promising. However, current research has paid little attention to medical image SSOD, and conventional SSOD approaches struggle with the unique challenges of medical imaging—scarce annotations and difficult-to-learn features.

Sequential recommendation is an important research task in the field of recommendation systems. The goal of the sequential recommendation task can be defined as follows: given a user’s interaction sequence and the associated timestamp sequence, predict the next item that the user is likely to interact with at the next time step. The existing methods have limitations in capturing the diversity of long-term interests, the dynamics of short-term user interest, and the hierarchical relationship between them.

Sub-headline: Zhejiang University researchers introduce K-SELinux, leveraging the K framework to automate the verification of complex security policies

Three-dimensional computer vision is becoming more prevalent in everyday lives as advances in technology and its accessibility to the general population increase. This type of tech is seen in autonomous driving vehicles, augmented reality (AR), virtual reality (VR) and robotics, to name a few. However, historically, these types of technologies have been limited by their methods employed: LiDAR (light detection and ranging, a remote sensing tech used to measure distances) is limited by its cost and low-resolution to be as useful as it once was in the burgeoning field that is 3D computer vision. Researchers are looking towards something else: vision-based methods using depth foundation models.