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.
Researchers from the South China Botanical Garden of the Chinese Academy of Sciences and Shandong University of Technology have recently published a study analyzing the tetraploid species Schizomussaenda henryi (Rubiaceae). The study discovered that its heterostyly remains intact and fully functional despite polyploidization.
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 new study led by researchers from the Institute of Atmospheric Physics of the Chinese Academy of Sciences has revealed that warming of about 2°C could actually enhance the GHG sink in Arctic permafrost. However, that gain is largely canceled out by a weakening of the carbon sink in alpine permafrost regions.
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.
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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