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 NI Guohua and SUN Hongmei from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, together with Associate Professor WANG Dong from Anhui Medical University, have developed a new two-step plasma strategy that enhances the antibacterial performance of mesoporous silica–supported silver nanoparticles and accelerates wound healing.
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. 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 research group led by Prof. ZHANG Peng from the Institute of Biophysics of the Chinese Academy of Sciences has revealed how the human brain resolves perceptual conflicts and generates conscious perception through local inhibition in the sensory cortex and feedback integration from the parietal cortex.
Researchers from Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and Fudan University developed a label-free intraoperative navigation system based on surface-enhanced Raman scattering, which enables real-time, in situ grading of prostate tumor malignancy by simultaneously detecting tissue acidity and prostate-specific antigen activity.
Climate change is accelerating the reorganization of river-lake systems on the Qinghai-Tibet Plateau, reshaping hydrological and ecological processes in the "Asian Water Tower". A new study led by Prof. LU Shanlong from the Aerospace Information Research Institute of the Chinese Academy of Sciences reveals the Zonag-Yanhu drainage basin, once isolated, has undergone rapid transformation since 2019, when it connected to the headwaters of the Yangtze River.
A research team led by Prof. WANG Kelin from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences, has uncovered how multitrophic organisms adapt to phosphorus (P) limitation in subtropical ecosystems. Their findings shed light on strategies to alleviate P limitation in fragile subtropical ecosystems.
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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