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.
The BESIII experiment at BEPCII performed the first measurements of the quantum numbers of the X(2370) particle, along with its mass, production, and decay properties. The experiment results are consistent with the features of a glueball.
Recently, an international team led by Prof. GE Jian from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences conducted a search for rare weak signals in quasar spectral data released by the Sloan Digital Sky Survey III (SDSS-III) program using deep learning neural networks.
Researchers led by Prof. ZHANG Zairong from the Shanghai Institute of Organic Chemistry have identified a post-translational topogenesis pathway for the folding and assembly of multi-spanning membrane proteins.
Researchers led by Prof. CHEN Tao at the Ningbo Institute of Materials Technology and Engineering, in collaboration with researchers at the Max Planck Institute of Microstructure Physics, has developed entangled mesh hydrogels via cryogelation, achieving rapid atmospheric water harvesting.
Researchers led by Prof. XIAO Jun from the Institute of Genetics and Developmental Biology have shown how TabHLH27 enhances wheat's drought tolerance and water use efficiency by balancing stress and growth.
WANG Xiujie's group at the Institute of Genetics and Developmental Biology, in collaboration with SONG Jiangping's group at Fuwai Hospital, used single-cell RNA sequencing to elucidate the cell type composition and gene expression profiles of ITA, RA and RGA.
In a major step towards understanding climate change, researchers from the Institute of Atmospheric Physics, the Beijing Meteorological Data Center and the Beijing Municipal Climate Center have homogenized and analyzed over a century's worth of daily temperature data from the Beijing Observatory, spanning from 1915 to 2021.
A research team from the Northwest Institute of Eco-Environment and Resources investigated three sub-basins in the Urumqi River Basin, with glacier ratios ranging from 4% to 46%, to assess glacier ice melt runoff characteristics within a single basin.
A research team from the University of Science and Technology of China of the Chinese Academy of Sciences proposed a novel design methodology for Gaussian random number (GRN) generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
A research team led by Dr. LI Yingtian from the Shenzhen Institute of Advanced Technology has proposed a novel type of soft gripper based on reprogrammable bistable actuator, which allows precise control over diverse sensitivities, and offers multiple gripping modes and adjustable response speeds through straightforward reprogramming.
Led by Prof. LIU Yong from the Hefei lnstitutes of Physical Science, researchers proposed a novel framework, called Clip-based Knowledge Transfer and Relational Context Mining, to address the long-tail distribution problem in computer vision.
Researchers led by Prof. CHEN Chilai from the Hefei Institutes of Physical Science has increased the detection sensitivity of dissolved methane in water by more than 500 times, reaching the baseline level of methane detection in oceans and lakes.
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