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 Innovation Academy for Precision Measurement Science and Technology has made significant progress in precisely measuring the vibrational-rotational spectra of hydrogen molecular ions (HD⁺).
A research group led by Prof. SUN Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences investigated the impact of multiangular polarimetry on the quantification of marine aerosol remote sensing applications.
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences adopted a synergistic optimization strategy to successfully synthesize three novel rare-earth metal borate fluorides.
A research team led by Prof. FANG Yanshan from the Shanghai Institute of Organic Chemistry identified FBXO21 as the F-box protein and key factor mediating the ubiquitination and degradation of NMNAT2 in neurons, and found that the knockdown of Fbxo21 in mouse dorsal root ganglion neurons increases NMNAT2 levels and significantly delays Wallerian degeneration.
A team of researchers from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences has demonstrated that designed synthetic microbial communities (SynComs) can significantly boost crop growth and curb soil-borne diseases, revealing a promising biocontrol strategy.
A research team led by Prof. ZOU Zhen from the Institute of Zoology of the Chinese Academy of Sciences, in collaboration with Prof. Alexander S. Raikhel from the University of California, Riverside, has identified a key gene: E93. This gene plays a central role in maintaining metabolic balance throughout the mosquito's reproductive cycle.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences, in collaboration with Argentina's Center for Advanced Studies in Earth Sciences and Biodiversity, has identified critical blind spots in current Antarctic vegetation mapping caused by the poor detectability of dark-colored lichens.
A new review has revealed the potential of desert ecosystems in the global fight against climate change. The review, led by Prof. ZENG Fanjiang from the Xinjiang Institute of Ecology and Geography, synthesizes evidence showing that deserts can function as vital carbon sinks through innovative management and technology.
A team led by Dr. WANG Jiahong from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences developed an artificial sensory neuron based on a vanadium carbide/oxide heterostructure via topochemical conversion, enabling multi-color near-infrared response and high-precision object recognition in complex scenarios.
A new study led by Prof. LI Xiaosong from the Aerospace Information Research Institute of the Chinese Academy of Sciences has evaluated land productivity dynamics (LPD) across the African Great Green Wall (GGW) between 2013 and 2022.
A research team led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, in collaboration with Prof. QU Bo from Peking University, has developed a novel passivator soluble in low-polarity solvents, achieving a stable perovskite solar cell (PSC) with a power conversion efficiency (PCE) of up to 26.07%.
Researchers from the Shenzhen Institute of Advanced Technology and City University of Hong Kong developed a universal in-situ cross-linking conformational reinforcement strategy for self-assembled monolayer molecules, effectively addressing operational stability issues caused by buried interface degradation in high-efficiency inverted perovskite solar cells.
86-10-68597521 (day)
86-10-68597289 (night)
52 Sanlihe Rd., Xicheng District,
Beijing, China (100864)
Copyright © 2002 - Chinese Academy of Sciences
