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 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.
Using high-precision astrometry from the Gaia satellite and applying uniform, stringent selection criteria, researchers from the Xinjiang Astronomical Observatory have identified 400 candidate binary open clusters in the Milky Way; 268 of these were newly reported. The findings provide a unified, structured scheme for identifying and classifying galactic binary clusters.
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.
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.
Researchers from Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences reported a new species named Begonia chunxiuensis, which was collected in southwestern Guangxi, China.
A new study published in Nature has shed light on the origins, population structures, and kinship systems of the people of Shimao—one of China's most significant late Neolithic settlements. Analyses of ancient DNA from individuals who inhabited the site reveal genetic links to southern settlements, while also providing evidence of male mass burials associated with human sacrifice.
Researchers from the Institute of Applied Ecology of the Chinese Academy of Sciences and the University of California, Riverside, have investigated how the loss of forest soil gaseous nitrogen is affected by climate warming, highlighting the critical role of these gases in regulating forest nutrient cycling and ecosystem functioning.
In a new study, Prof. ZENG Fanjiang's team from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences has identified the key pathway driving the soil carbon sinks in arid regions.
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 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 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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