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.
Researchers from the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences have reported new experimental results that advances our understanding of reaction dynamics and exotic nuclear structures of weakly bound nuclei.
A research team led by Prof. WANG Peng from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, together with international researchers, has engineered liquid-liquid phase separation (LLPS)-driven membraneless organelles (MLOs) within the food-grade industrial strain Corynebacterium glutamicum.
A research team led by Prof. GAO Dunfeng and Prof. ZHOU Xukai from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences proposed a metal-phase protection strategy, and achieved durable acidic CO2 electroreduction to formic acid.
A research team led by Prof. CHEN Lingxin from the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed edged-satellite AuAg nanoparticles (ES-AuAgNPs). These nanoparticles boast several characteristics, including alloyed Ag/Au composition, an edge-satellite structural design, and integrated antimicrobial components. Collectively, these properties equip ES-AuAgNPs with enhanced peroxidase-like catalytic activity, surface-enhanced Raman scattering performance, and antibacterial capabilities.
A team led by WU Beili from the Shanghai Institute of Materia Medica of the Chinese Academy of Sciences, along with the collaborators, determined the structures of GPR1 bound to chemerin and β-arrestin 1 or β-arrestin 2, as well as the structure of GPR1– β-arrestin 1 complex in the absence of chemerin. They elucidated a picture of arrestin-mediated modulations of GPR1.
A joint research team from the Institute of Biophysics and Tsinghua University has developed a novel live-cell DNA imaging technology called CRISPR PRO-LiveFISH (Pooled gRNAs with Orthogonal bases LiveFISH), a novel live-cell DNA imaging technology that integrates CRISPR technology with expanded genetic alphabet technology.
Researchers from the Institute of Applied Ecology of the Chinese Academy of Sciences have uncovered how soil food webs promote the transformation and storage of photosynthetic carbon in farmlands, offering new insights into farmland carbon sequestration.
A research team from the Institute of Atmospheric Physics of the Chinese Academy of Sciences has developed an "All Flow Directions" (AFD) scheme. This innovation allows weather models to calculate the shape and steepness of mountain terrain continuously for any wind direction, eliminating the "jump" of traditional models and providing a far more realistic simulation of how wind interacts with the ground.
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. HU Weijin from the Institute of Metal Research has developed a one-second fabrication method for wafer-scale energy storage capacitors that achieves astonishing heating and cooling rates of up to 1,000 °C per second.
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.
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