A research team led by Prof. WAN Yinhua from the Institute of Process Engineering has developed a machine learning framework to analysis virus filtration processes in therapeutic protein purification. The new method enables intelligent identification of critical parameters affecting virus retention efficiency and provides predictive guidance for process optimization.
A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
A recent study by a researcher from the Xinjiang Astronomical Observatory has provided new insights into the phenomenon of "pulse nulling"—a sudden cessation of the entire radio pulsed emission observed in over 200 pulsars manifests. This event, which can last from a few rotations to several minutes, is suggested to be random, but its statistical distribution may hint at deeper patterns in pulsar emission behavior.
In a recent breakthrough, Dr. HUO Zhipeng and his student CHEN Zuoyang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a new class of PbWO4 filler-reinforced B4C/HDPE composites with tunable microstructures.
A research team led by Prof. LI Xianfeng from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences developed a novel interfacial polymer cross-linking strategy to fabricate ultra-thin polymeric membranes with nanoscale separation layers.
Chinese scientists at the Technical Institute of Physics and Chemistry have developed a breakthrough process that significantly improves the efficiency and environmental friendliness of beta-blocker production—with a focus on the widely used compound propranolol, which plays a vital role in managing cardiovascular conditions such as hypertension, arrhythmia, and angina.
A new study led by Prof. LIU Ning from the Institute of Biophysics and Prof. YU Shan from the Institute of Automation has revealed compelling evidence that brain criticality—a dynamic balance between neural excitation and inhibition—has a strong genetic foundation and is associated with cognitive performance.
Chinese scientists have developed a novel nanotherapy known as biomimetic extracellular vesicle spherical nucleic acids (BEV-SNAs), which has shown efficacy in treating idiopathic pulmonary fibrosis.
An international team led by Prof. CHEN Jitao from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences studied ancient sedimentary rocks in Naqing, South China, to analyze their chemical compositions.
Researchers from the Institute of Oceanology of the Chinese Academy of Sciences, alongside collaborators from China, Germany, and France, analyzed the pyrogenic carbon record in a 300,000-year-old sediment core from the East China Sea.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has released Africa's first high-resolution rice distribution map, featuring a resolution of 20 meters. This dataset provides comprehensive coverage of African countries where national-level rice cultivation areas exceed 5,000 hectares.
Researchers from the Institute of Computing Technology of the Chinese Academy of Sciences, along with collaborators, have developed a food-oriented large language model (LLM)—FoodSky, a domain-specific large LLM designed for culinary and nutritional applications.
On June 18, the Lower Hybrid Current Drive system — a critical subsystem of the Comprehensive Research Facility for Fusion Technology — successfully passed expert testing and was officially accepted, marking a significant milestone for the project.
A research group led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has developed an innovative strategy to alleviate NiOx corrosion, enabling more efficient and stable all-perovskite tandem solar cells.
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