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 Institute of Modern Physics has directly measured the masses of two highly unstable atomic nuclei, phosphorus-26 and sulfur-27. These precise measurements provide crucial information for determining the nuclear reaction rate during X-ray bursts, advancing our understanding of how elements are synthesized under such extreme conditions.
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 team led by Prof. ZHOU Yongjin from the Dalian Institute of Chemical Physics, along with Prof. FEI Qiang from Xi'an Jiaotong University, developed a yeast cell factory to produce L-lactate from methanol as the sole carbon source, and evaluated the commercial potential and environmental impacts of this bioprocess.
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.
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 research team led by Prof. SUN Chaomin from the Institute of Oceanology of the Chinese Academy of Sciences has unveiled the crucial role of viruses in deep-sea carbon cycling and microbial community structure.
A new study study led by Prof. CHEN Yaning from the Xinjiang Institute of Ecology and Geography presents the first quantitative framework for transitioning to sustainable agriculture through integrated Water-Energy-Food nexus management. This framework has broad relevance for semi-arid regions worldwide.
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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