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 collaborative research team from Peking University and the Aerospace Information Research Institute of the Chinese Academy of Sciences has made progress in ultra-fast computing and communication technologies with the development of a novel photonic clock chip.
A research group led by Prof. WANG Zhenyang and ZHANG Shudong from the Hefei Institutes of Physical Science has developed a new type of ceramic fiber aerogel, SiC@SiO₂, which exhibits highly anisotropic thermal conductivity and exceptional thermal stability through directional bio-inspired design.
Researchers from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences, have developed an innovative zinc(II)-enhanced excimer fluorescence probe. Utilizing a conjugation modulation and metal-bridging strategy, the probe achieves highly specific recognition of MDMB-CA series synthetic cannabinoids through multiple non-covalent interactions.
A research team led by Prof. DOU Xincun from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has developed a novel molecular probe strategy to enhance detection sensitivity and selectivity for α-Methyltryptamine AMT.
A research team led by Dr. Raymond Chan from the Institute of Psychology, together with collaborators, has uncovered key differences in how individuals with high social anhedonia—a reduced ability to experience pleasure in social interactions—predict and experience emotions in real-life situations.
A research team led by Prof. SUN Cheng from the University of Science and Technology of China, along with collaborators from the Agency for Science, Technology, and Research and the Chinese Academy of Agricultural Sciences, has developed a novel spatial immune-based prediction system for assessing the risk of hepatocellular carcinoma (HCC) recurrence.
A groundbreaking study led by Prof. CHEN Hongsong from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences has unveiled the mechanistic influence of soil thickness (as a representative litho-structural factor) on water movement dynamics.
A recent study led by Prof. LI Xiaofeng from the Institute of Oceanology of the Chinese Academy of Sciences has shed new light on this issue by examining how ENSO affects both linear and nonlinear predictability of Antarctic sea ice across varying lead times.
A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has introduced a novel feature selection method by removing noise entropy within mutual information.
A groundbreaking multi-task learning framework, DEMENTIA, has been developed by Prof. LI Hai and his team at the Hefei Institutes of Physical Science, to improve the early detection and assessment of Alzheimer's disease.
A research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has improved residual neural network to accurately classify and identify microplastics using low-quality Raman spectra, even under non-ideal experimental conditions.
A research team led by Prof. HU Weijin from the Institute of Metal Research has discovered that single-domain ferroelectric thin films can be efficiently achieved by simply elevating the growth temperature.
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