Existing methods often struggle to identify relatively critical road segments in local areas with lower traffic flow in large-scale road networks. Researchers from Fuzhou University proposed a new two-stage feature learning method based on the dynamic and static embeddings of road segments. This method can effectively identify critical road segments in large-scale networks and relatively critical segments in local areas, outperforming traditional methods in various evaluation metrics. Their findings were recently published in Journal of Geo-information Science.

A new study published in Engineering explores the significance of mixing intensification in advanced materials manufacturing. Scientists from the Chinese Academy of Sciences and Beijing University of Chemical Technology investigated its role in chemical reactors. Their research covers multiphase mixing, macromixing, and micromixing, and shows how mixing intensification benefits industries like lithium battery, optical materials, and agriculture. The study also offers insights into future research directions for better industrial applications.

As urbanization and climate change bring more coupled risks to cities, a new study in Engineering offers practical perspectives. It focuses on a complex systems approach, emphasizes the role of human factors, and presents methods like a standardized taxonomy and people-centric strategies to better understand and manage these risks.

On March 11, 2025, at the China Collective Stand of the London Book Fair, Tsinghua University Press (TUP) and the University of Toronto Press (UTP) sign a licensing agreement for the English version of Harnessing Data for Improved Productivity: Managing the Full Life Cycle of Data.