A research team led by Prof. WAN Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a dual-functional reverse osmosis (RO) membrane with enhanced antibacterial and antiadhesion properties. The membrane demonstrates broad-spectrum, sustained antibacterial activity, as well as resistance to various foulants. These properties make it suitable for water purification, seawater desalination, and high-salinity wastewater treatment, among other applications.

Researchers investigated the microwave heating characteristics in a single-mode microwave system by using Multiphysics numerical simulations. The key findings provided a theoretical basis for comprehending microwave-heating processes in single-mode reactors and clarify the common microwave-specific effects encountered in laboratory settings.

Imagine controlling apps with your feet while you walk. This concept is the focus of new research which explores using gait gestures – intentional variations in how you walk – as controls for augmented reality (AR) devices. 

In the research, they proposed the concept of Graph Foundation Model (GFM), encapsulating the vision of harmoniously merging the capabilities of graph models and large language models.

In a paper published in SCIENCE CHINA Life Science, an international team of scientists provided a comprehensive overview of single-cell and spatial genomics. They review breakthroughs in single-cell multi-omics technologies, spatial genomics methods, and the computational strategies employed toward the analyses of single-cell atlas data. Additionally, they emphasize the progress in constructing cellular atlases and their clinical applications, particularly in the context of disease. Lastly, they discuss emerging trends, challenges, and opportunities in this rapidly evolving field.

A research team led by Professor Ming Cai from Florida State University, in collaboration with researchers from Sun Yat-sen University, Peking University, and the Massachusetts Institute of Technology, recently published a groundbreaking paper in National Science Review. Titled “Principles-Based Adept Predictions of Global Warming from Climate Mean States”, the study introduces a novel framework that accurately predicts the magnitude and spatial pattern of global warming caused by greenhouse gas emissions, without relying on complex climate models or statistical analysis. For the first time, this study confirms that observed global warming is driven by human-caused greenhouse gas emissions, independently of these conventional approaches.