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 Prof. JIANG Minqiang from the Institute of Mechanics of the Chinese Academy of Sciences proposed a unified theory of phonon in solids to show when the Debye model breaks down as Van Hove singularities in crystals, the boson peaks in glasses, or their coexistence.
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 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.
In a new study, researchers from the South China Botanical Garden of the Chinese Academy of Sciences conducted a global-scale assessment of methane emissions from mangrove tree stems. They also developed a comprehensive database of these emissions to date.
A research group led by Prof. LIU Zhenfeng from the Institute of Biophysics has now resolved high-resolution three-dimensional structures of the wild-type Arabidopsis thaliana DGAT1 (AtDGAT1) and a low-activity mutant (H447A) using single-particle cryo-electron microscopy.
A research team led by Profs. ZHANG Yunlin and SHI Kun from the Nanjing Institute of Geography and Limnology of the Chinese Academy of Sciences has completed its first global assessment of lake water clarity, uncovering widespread shifts driven by both climate change and human activities.
A research team from the Northwest Institute of Eco-Environment and Resources, together with collaborators from Beijing Normal University and the University of Chinese Academy of Sciences, found that summer rainfall in the Arctic would increase by about 17% under 2 °C global warming, approximately 16% of which is attributed to sea ice retreat.
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. ZOU Xudong from the Aerospace Information Research Institute of the Chinese Academy of Sciences has proposed a solution to address two longstanding challenges in Micro-Electro-Mechanical Systems resonant accelerometers: temperature drift and measurement dead zones.
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%.
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