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 collaborative team from Yunnan University, the Shanghai Astronomical Observatory of the Chinese Academy of Sciences, and the University of Chile, along with other domestic and international institutions, has revealed new observational evidence that sheds light on the mystery of massive star formation.
A research team led by Dr. AN Tao from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences has discovered a wandering black hole in a dwarf galaxy located about 230 million light-years away (redshift z = 0.017).
Prof. CHEN Ping's group from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences developed a novel core-shell hydride ion electrolyte, and constructed the first rechargeable hydride ion prototype battery.
Researchers from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences and Fudan University developed a series of alkaline-earth-metal-doped perovskites to investigate the impact of electronic structure tuning on high-temperature oxygen evolution reaction performance.
A research team led by Prof. KANG Le from the Institute of Zoology of the Chinese Academy of Sciences, has discovered that locusts bypass the classical GPCR pathway entirely. Instead, they rely on inositol 1,4,5-trisphosphate (IP3)—a specific molecule—as the core second messenger in their olfactory signal transduction process.
A research team led by Prof. HAN Shuo from the Center for Excellence in Molecular Cell Science of the Chinese Academy of Sciences developed a novel cell-surface protein engineering strategy called Proximity Amplification and Tagging of Cytotoxic Haptens (PATCH), which applies proximity labeling to immunomodulation for the first time.
A research team led by Prof. WU Qingbai from the Northwest Institute of Eco-Environment and Resources of the Chinese Academy of Sciences has identified important non-temperature environmental factors contributing to permafrost degradation on the Qinghai-Tibet Plateau.
A research team led by Prof. WU Rongchang from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences, in collaboration with international partners, has presented a comprehensive δ¹³Corg sequence spanning the upper Lower to lower Upper Ordovician. Derived from the Hule-1 core in the Jiangnan slope of South China, the study fills a critical knowledge void by documenting the Middle Darriwilian Isotopic Carbon Excursion (MDICE) in the δ¹³Corg record.
Researchers from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and Donghua University reported a soft, movable, long-term implantable fiber electrode called “NeuroWorm,” marking a radical shift for bioelectronic interfaces from static operation to dynamic operation and from passive recording to active, intelligent exploration.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has systematically mapped and analyzed the cultural landscape of historic folk fortresses in Tianshui, a city in northwest China's Gansu Province, uncovering new insights into a long-neglected form of grassroots cultural heritage.
A research team from the Hefei Institutes of Physical Science and the First Affiliated Hospital of Anhui Medical University has developed a microfluidic platform that enables label-free sorting and functional analysis of neutrophils in sepsis patients.
A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has developed a new method to enhance the efficiency of dynamics modeling for industrial robots, tackling long-standing bottlenecks in real-time torque computation.
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