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.
Researchers working on China' s fully superconducting Experimental Advanced Superconducting Tokamak (EAST) have experimentally accessed a theorized "density-free regime" for fusion plasmas, achieving stable operation at densities well beyond conventional limits.
Prof. LIU Cong from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with collaborators, revealed the high-resolution structures of amyloid fibrils directly extracted from biopsy samples of living patients with systemic light chain (AL) amyloidosis, providing new molecular insights into how patient-specific protein sequences and tissue environments shape amyloid architecture.
A research team led by Profs. WANG Song and ZHU Yongping from the Institute of Process Engineering of the Chinese Academy of Sciences has developed a new approach to suppressing the shuttle effect in transition metal fluoride cathodes. The team's study focused on thermal batteries—a type of battery that operates at 350–550 °C.
Dr. DONG Peng's team from the Shenzhen Institute of Advanced Technology and the collaborators from Sun Yat-sen University discovered that TMZ treatment induces the formation of HDAC1-CTCF condensates in GBM cells, and they identified the small-molecule compound Resminostat as a therapeutic agent capable of targeting these condensates.
Led by Prof. ZHAO Ruilin from the Institute of Microbiology of the Chinese Academy of Sciences, researchers showed how climate dynamics and a key gene for adaptive evolution and domestication jointly shaped the button mushroom's diversity.
A research team led by Prof. FU Zheng at the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Sciences, in collaboration with international partners, has developed a global isoscape of leaf carbon isotope discrimination for C₃ plants spanning 2001 to 2020.
A research team led by Prof. PANG Shaojun from the Institute of Oceanology of the Chinese Academy of Sciences has demonstrated that wakame (Undaria pinnatifida)—a kelp traditionally cultivated in temperate waters—can be grown to market size in subtropical Fujian Province using clonal sporophyte seedlings and a winter cultivation strategy.
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.
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without the need for model retraining.
Researchers at the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences have made an important breakthrough by developing a three-dimensional electrical imaging technique that directly reveals how defect passivation treatments work in perovskite films.
A joint research team from the Institute of Metal Research of the Chinese Academy of Sciences and the Songshan Lake Materials Laboratory has achieved precise control and real-time observation of atomic-scale structural transformations, a fundamental scientific challenge in atomic-scale manufacturing.
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