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. LIU Fanglin from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel generative model-based method for ecological soundscape analysis.
A new study led by the Yunnan Observatories of the Chinese Academy of Sciences has detected quasi-periodic oscillation (QPO) signals in an unusual gamma-ray burst (GRB) event.
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has revealed that a one-time nitrogen application, a labor-saving practice favored by many farmers, increases both soil and canopy ammonia emissions in maize fields, while reducing grain yield and nitrogen use efficiency.
Prof. HAN Buxing and LIN Longfei’s group from the Institute of Chemistry of the Chinese Academy of Sciences, and collaborators from Beijing Normal University and Peking University, developed a kinetic decoupling-recoupling (KDRC) strategy that enables the conversion of polyethylene (PE) to ethylene and propylene with a yield of 79%.
Researchers led by Prof. ZHAO Yan from the Institute of Biophysics of the Chinese Academy of Sciences reported high-resolution cryo-EM structures of GlyT2 in three major conformational states. These structures illuminate the transporter's molecular mechanisms and provide critical insights into how analgesic compounds are recognized.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences constructed comprehensive epigenetic regulatory landscapes for lncRNAs across diverse plant species, and developed a novel, specialized, open-access platform named Plant Epigenetic Regulation of lncRNAs Database.
A new study led by researchers from the Institute of Atmospheric Physics of the Chinese Academy of Sciences has uncovered the first observational evidence of lateral negative re-discharges occurring on negative leader channels. The finding offers new insights into how lightning channels remain electrically active, and how their structures evolve before and after a return stroke.
A new study led by Prof. DUAN Weili from the Xinjiang Institute of Ecology and Geography (XIEG) of the Chinese Academy of Sciences emphasizes the importance of selecting appropriate datasets for global soil moisture research.
A new study led by the Aerospace Information Research Institute of the Chinese Academy of Sciences, along with their collaborators, has demonstrated that high pressure can significantly enhance and precisely tune terahertz (THz) radiation from the two-dimensional semiconductor gallium telluride (GaTe).
A research team led by Prof. NIE Sheng from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new bathymetric mapping framework. This framework integrates the indirect inversion of land Elevation Satellite-2 (ICESat-2) LiDAR data with multi-source remote sensing observations. By combining wave-based indirect bathymetry, multi-source feature fusion, and a temporal sample-transfer strategy, it achieves high-accuracy, wide-coverage mapping in optically complex shallow waters.
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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