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.
The successful completion of the Jiangmen Underground Neutrino Observatory (JUNO) and the release of its first physics results were announced by the Institute of High Energy Physics (IHEP) of the Chinese Academy of Sciences (CAS) at a press conference held in Jiangmen City on Nov. 19.
Using high-resolution 1665/1667 MHz OH line and continuum spectrum observational data from the European VLBI Network and the Multi-Element Radio Linked Interferometer Network, Antneh Gashaye, a Ph.D. student from the Xinjiang Astronomical Observatory, has maped the OH MegaMaser emission in the ultraluminous infrared galaxy IRAS 15250+3609, and revealed the nature and structure of the OH MegaMaser emission in the galaxy.
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 Prof. ZHOU Yongjin from the Dalian Institute of Chemical Physics demonstrated that combining lifespan engineering strategies with metabolic pathway optimization in Saccharomyces cerevisiae enables highly efficient sclareol biosynthesis, marking an advance in improving microbial production through lifespan engineering.
A research team led by Profs. XU Tao and HE Shunmin from the Institute of Biophysics of the Chinese Academy of Sciences conducted a comprehensive analysis of mitochondrial variants and nuclear mitochondrial DNA segments from 7,331 individuals by integrating the NyuWa Genome Resource with data from the 1000 Genomes Project.
A research team led by Prof. LI Hongchang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences uncovered a fundamental plasma membrane remodeling mechanism that governs the mitotic cell rounding.
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 research team led by Prof. SHAN Tifeng from the Institute of Oceanology of the Chinese Academy of Sciences has developed a new method for breeding triploid cultivars in kelp species.
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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