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.
Researchers from Tsinghua University, the Beijing Institute of Technology, the University of Wollongong (Australia), and the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have achieved an ultrahigh electrostrain of 1.9% in (K,Na)NbO₃ (KNN) lead-free piezoelectric ceramics.
Researchers from the Institute of Physics of the Chinese Academy of Sciences have developed a convenient, universal, atomic-level manufacturing technique—called vdW squeezing—for the production of 2D metals at the angstrom thickness limit.
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.
In a recent study, researchers led by Prof. LI Xinjian from the Institute of Biophysics have uncovered a novel immunoregulatory function of isocyanic acid (ICA), a reactive metabolite synthesized by the enzyme laccase domain containing 1 (LACC1).
A recent study by Chinese scientists has revealed the intricate molecular machinery driving energy exchange within chloroplasts, shedding light on a key event in the evolution of plant life. Led by FAN Minrui from the Center for Excellence in Molecular Plant Sciences of the Chinese Academy of Sciences, the research elucidates the structure and function of the ATP/ADP translocator—a crucial member of the nucleotide transporter (NTT) family of proteins—which facilitates the transfer of energy across chloroplast membranes.
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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