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 Guangzhou Institute of Energy Conversion of the Chinese Academy of Sciences, in collaboration with partners, has developed a lithium cycle computable general equilibrium (LCCGE) model. The framework bridges micro-level recycling data with macroeconomic trends to inform robust decarbonization strategies.
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 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 new study of gibbons has resolved key debates about their evolutionary history, providing critical insights for conservation efforts and presenting extensive genomic resources. These include chromosome-level reference genomes for all four genera, as well as whole-genome resequencing of 18 extant species.
A new study led by Prof. WANG Guodong from the Kunming Institute of Zoology provides insights into the parallel migration patterns of dogs and humans across Eastern Eurasia during the Holocene. By analyzing 73 ancient dog genomes, including 17 newly sequenced samples, researchers found that shifts in canine ancestry tracked major human migrations over the past 10,000 years.
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. 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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