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 research team from the Yunnan Observatories of the Chinese Academy of Sciences, in collaboration with domestic and international partners, has carried out observational studies on SN 2024gy—a high-velocity Type Ia supernova (SN Ia)—using the Lijiang 2.4-meter telescope.
A research group led by Prof. SUN Youwen from the Hefei Institutes of Physical Science, in collaboration Prof. YE Minyou from the University of Science and Technology of China, has achieved a new plasma confinement regime using small 3D magnetic perturbations that simultaneously suppress edge instabilities and enhance core plasma confinement in EAST.
A research team led by Prof. BAI Shuo from the Institute of Process Engineering has pioneered a fully biodegradable, self-powered implantable electrical stimulation system designed to enhance muscle repair. The device operates independent of external power sources and does not compromise patient comfort.
Prof. ZHOU Yongjin's team from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences and Prof. Martin Grininger's team from Goethe University Frankfurt developed a modular and programmable fatty acid synthesis platform which enables high specificity production of medium-chain fatty acids in yeast.
Research teams led by Profs. WANG Qianfei and LIU Zhaoqi from the China National Center for Bioinformation, a research center affiliated to the Chinese Academy of Sciences, in collaboration with researchers from the Children's Hospital of Soochow University, analyzed transcriptome sequencing data from 702 pediatric AML patients. The team identified sequence-dependent ribonucleic acid (RNA) splicing abnormalities in roughly 36% of the cases.
Researchers from the Center for Excellence in Molecular Cell Science (Shanghai Institute of Biochemistry and Cell Biology) and Tongji University identified a fibrous-layer resident subpopulation of P-SSCs labeled by Angptl7. They found that these cells are crucial for bone fracture repair by mediating endochondral ossification, but exhibit minimal osteogenic capacity during postnatal bone development and maintenance.
Researchers led by Prof. XUE Xian from the Northwest Institute of Eco-Environment and Resources have shown that increasing soil salinity is systematically reshaping the storage and distribution of soil inorganic carbon, providing the first comprehensive global assessment of how soil salinization influences inorganic carbon storage and highlight its implications for the global carbon cycle.
A research team from the Institute of Oceanology of the Chinese Academy of Sciences has identified a critical feedback loop involving rainfall and ocean salinity that helps maintain multiyear La Niña conditions.
A research team led by Profs. LI Jing and LIU Qinhuo from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed the world's first global, high-resolution map of leaf chlorophyll content (LCC), providing a new method for closely tracking plant health and ecosystem productivity worldwide.
A research team led by Prof. WANG Zhenyou at the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a microscopic time-gated Raman spectrometer capable of non-destructive, micrometer-scale chemical analysis of fragile archaeological ivory—even when strong fluorescence would normally obscure the signal.
Researchers from the Institute of Metal Research have developed a new class of high-performance materials for micro-electromechanical system switch chips, achieving an ultra-long fatigue life critical for 5G/6G communications, aerospace, industrial control and medical applications.
Drawing inspiration from the remarkable adaptability of the human eye, researchers from the Institute of Metal Research have developed a novel phototransistor with tunable sensitivity. This breakthrough provides an efficient solution for detecting low-contrast targets in complex visual environments, which is a critical challenge for advanced machine vision systems in applications such as precision guidance and smart surveillance.
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