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 team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley, and reveals the double-magic nature of Tin-100 and the disappearance of the magic number 20 in Oxygen-28.
Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus method that harnesses the power of deep learning to dynamically select regions of interest in grayscale images.
A group led by Prof. SUN Jian from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences developed a facile strategy to establish Mo carbide catalysts for efficient CO2 conversion, bypassing the complicated carburization process of traditional methods.
A research team led by Prof. TAN Weihong and Prof. WU Qin from the Hangzhou Institute of Medicine of the Chinese Academy of Sciences has identified protein arginine methyltransferases (PRMTs), crucial regulators of RNA splicing and chromatin stability, as a new therapeutic target for overcoming paclitaxel resistance in triple-negative breast cancer (TNBC).
In a recent study, led by Professor ZHANG Yongqing from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences (CAS), in collaboration with Professor HU Li from the Institute of Psychology of CAS, employed a Shank3 mutant dog model to investigate ASD-associated abnormalities in somatosensory processing.
A research group led by Prof. WU Aiguo and Prof. LI Juan at the Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), developed a novel method for idiopathic pulmonary fibrosis (IPF) therapy by transplanting mesenchymal stem cells (MSCs), which improved the therapeutic efficacy and realized the real-time treatment visualization. The study was published in Science Advances.
A new study by the Institute of Atmospheric Physics underscores the significant role that soil moisture plays in influencing temperature extremes, especially in such a sensitive and unique region as the Qinghai Tibetan Plateau. The study’s findings enhance our understanding of heatwaves in high-altitude, cold regions.
A group of scientists led by Prof. WANG Kelin from the Institute of Subtropical Agriculture (ISA) of Chinese Academy of Sciences are trying to distinguish the sensitivity of vegetation to meteorological drought under different geological conditions and determine the precipitation thresholds for vegetation sensitivity, both crucial for the sustainable greening of Southwest China.
A research team led by Prof. LIU Lizhuang from the Shanghai Advanced Research Institute of the Chinese Academy of Sciences proposed a deep learning model named TransLNP based on self-attention mechanisms, which maps the three-dimensional microstructure and biochemical properties of mRNA-LNPs to enable high-precision automated screening of LNPs.
Researchers from USTC proposed a novel design methodology for Gaussian random number generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
A research group led by Prof. CHEN Xueyuan from Fujian Institute of Research on the Structure of Matter developed a novel NIR-CP light-responsive hybrid CuInSe2@ZnS quantum dots (CISe@ZnS QDs) hydrogel (QDs@L/D-Gel) for achieving distinctly enhanced therapeutic efficacy in vitro and in vivo upon exposure to 808-nm CP light.
A team of researchers led by Prof. LIU Chi, Prof. SUN Dongming and Prof. CHENG Huiming from the Institute of Metal Research (IMR) proposed a novel hot-carrier generation mechanism named as the “stimulated emission of heated carriers (SEHC)” and developed an innovative hot-emitter transistor (HOET), achieving an ultralow sub-threshold swing less than 1 mV/dec and a peak-to-valley current ratio exceeding 100, provide a prototype of low power and multifunctional device for the post-Moore era .
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