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 led by Profs. WU Zhikun and ZHUANG Shengli from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Professor LU Zhou from Anhui Normal University, has proposed an instant "anti-galvanic reduction" alloying strategy for the synthesis of large silver nanoclusters.
A team of physicists from the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences, together with collaborators, has identified the dominant physical mechanism responsible for energy release in the nuclear isomer molybdenum-93m (Mo-93m).
Researchers from the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences, in collaboration with international partners, have engineered a thin two-dimensional perovskite phase at the buried interface of three-dimensional perovskite solar cells (PSCs) to boost device performance and operational stability.
A research team led by Prof. PAN Shilie at the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has developed the fluorooxoborate crystal NH4B4O6F (ABF)—offering aneffective solution to the practical challenges of VUV NLO materials.
Researchers from the Institute of Genetics and Developmental Biology have uncovered a previously unrecognized mechanism by which mitochondrial redox signaling preserves nuclear envelope structure and delays aging.
Researchers from the Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences identified a rare natural compound derived from the Teak tree (Tectona grandis) which works in two distinct ways to combat diabetes and lipid disorders.
A new study led by Prof. XIAO Wenjiao from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences sheds light on the ore-forming process and key mechanisms of the gold deposit in the South Tianshan of northwest China.
A research team led by Prof. WANG Kelin from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences has uncovered microbial mechanisms that restrict phosphorus (P) cycling in farmland soils, revealing that high-intensity farming increases phosphorus limitation.
A research team led by Prof. LI Xiangxian from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new deep learning model that significantly enhances both the accuracy and interpretability of roadside air pollutant forecasts.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new method combining deep learning with physical radiative transfer modeling to improve the retrieval of atmospheric aerosol properties from complex satellite observations, supporting high-resolution, near-real-time monitoring of haze and dust events.
A novel type of 3D polar topological structure, termed the "polar chiral bobber," has been discovered in ferroelectric oxide thin films by a collaborative research team from the Institute of Metal Research and the Songshan Lake Materials Laboratory, demonstrating promising potential for high-density multistate non-volatile memory and logic devices.
A research team led by Professor WANG Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with synergistic training for sparse-view computed tomography reconstruction.
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