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. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.
A research group from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has proposed a new strategy to precisely manipulate interlayer stacking orders and related properties in two-dimensional (2D) van der Waals layered materials via mechanical bending, enabling efficient electric polarization switching.
Using observations from the Atacama Large Millimeter/submillimeter Array, an international research team led by Dr. ZHANG Suinan from the Shanghai Astronomical Observatory has uncovered the unique mechanisms governing star formation in the Central Molecular Zone of the Milky Way.
A research team led by Prof. ZHANG Tierui from the Technical Institute of Physics and Chemistry has developed a new catalyst that significantly enhances the efficiency and durability of methanol oxidation reactions. Composed of ultrafine platinum-based high-entropy alloy octahedra, the catalyst marks a promising advance in DMFC efficiency and resistance to catalytic poisoning.
A research team from the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences, along with collaborators, has introduced a novel membrane design that mimics biological protein channels to enhance proton transport for efficient energy harvesting.
A new study led by Prof. ZHANG Yongqing from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences and Prof. HAN Shihui from Peking University revealed that Beagle dogs carrying mutations in the Shank3 gene exhibit face processing abnormalities similar to those observed in human ASD patients.
A research team led by the Guangzhou Institutes of Biomedicine and Health of the Chinese Academy of Sciences has constructed a comprehensive spatiotemporal atlas of developing mouse lungs, revealing new molecular and cellular mechanisms underlying pulmonary organogenesis.
A research team led by Prof. WANG Fan from the Institute of Oceanology of the Chinese Academy of Sciences, along with collaborators, explored the subsurface ocean mixing's effect on ENSO. Their findings reveal a key diabatic feedback mechanism that amplifies CP ENSO events while suppressing EP ENSO development.
A multidisciplinary study led by researchers from the Institute of Tibetan Plateau Research of the Chinese Academy of Sciences (CAS) has uncovered the first definitive evidence of Middle Paleolithic Quina technology in East Asia.
A recent study highlights how China's FengYun-3 (FY-3) meteorological satellites have improved global tracking of land surface temperature throughout daily cycles. Led by Prof. ZHAO Tianjie from the Aerospace Information Research Institute of the Chinese Academy of Sciences, the study utilizes the unique capabilities of the FY-3's Microwave Radiation Imagers (MWRI) to overcome the limitations of traditional satellite-based LST retrieval methods.
A research team, led by Prof. MENG Qingyan from the Aerospace Information Research Institute of the Chinese Academy of Sciences, has successfully developed the Global Spatiotemporal Fusion Model (GLOSTFM), a high-efficiency spatiotemporal fusion model that utilizes multi-source satellite data. By integrating thermal infrared and microwave observations from the Fengyun-3D satellite, GLOSTFM enhances the spatiotemporal resolution of land surface temperature data.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has achieved real-time atmospheric temperature measurements at altitudes of up to 5,200 meters using a new acoustic thermometer mounted on a tethered aerostat.
A research team led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering from the Chinese Academy of Sciences has developed a low-crystallinity guest acceptor, D-IDT, using a tin-free direct C–H activation method, which was incorporated as a third component into binary organic solar cells (OSCs). This finding resulted in a stable OSC with a power conversion efficiency of 19.92%.
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