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 at IMP have achieved the first precise mass measurements of several exotic atomic nuclei. Using this mass data, they have determined the proton dripline for aluminum, phosphorus, sulfur, and argon elements, and proposed a new approach to uncover proton halo structures.
A research group from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences developed a novel type of hand-held surgical forceps equipped with a force-holding function. This innovative design aims to improve clamping accuracy while reducing surgeon fatigue during lengthy procedures.
Polarization photodetectors (pol-PDs) have widespread applications in geological remote sensing, machine vision, and biological medicine. However, commercial pol-PDs usually require bulky and complicated optical components and are difficult to miniaturize and integrate. Chinese researchers have recently made important progress in this area by developing an on-chip integrated polarization photodetector.
Researchers from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences have developed molecularly tailored liquid/liquid interfacial ultramicro iontronics (L/L UIs) for in vivo dynamic tracking of cerebral chloride (Cl-) regulation. This is the first time L/L UIs have been used to achieve highly sensitive, anti-interference, reversible, real-time dynamic tracking of non-electrochemically active Cl- under physiological conditions.
A research team led by Prof. ZHENG Mingyue from the Shanghai Institute of Materia Medica of the Chinese Academy of Sciences introduced a new deep learning method, SurfDock, which demonstrates good performance in both retrospective and prospective virtual screening tasks.
Dr. TIAN Ye's group from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences, identified eight genera of bacterial isolates from Arabidopsis root bacterial isolates that could extend lifespan in C. elegans, and found that Mycobacterium sp. Root265 displayed the most pronounced extension effect.
Recently, a new variety of edible lily, the "Zhongbai No. 1", bred by the Northwest Institute of Eco-Environment and Resources (NIEER) of the Chinese Academy of Sciences, was granted with plant variety rights by China's Ministry of Agriculture and Rural Affairs.
An international team of scientists recently published a study highlighting the potential role of iron sulfides in the formation of life in early Earth’s terrestrial hot springs. According to the researchers, the sulfides may have catalyzed the reduction of gaseous carbon dioxide into prebiotic organic molecules via nonenzymatic pathways.
A research team led by Prof. ZHANG Ze from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences developed a Hyper-sampling Imaging (HSI) technology that enhances the image quality and resolution of digital imaging system.
A research group led by Prof. CAI Xinxia from the Aerospace Information Research Institute of the Chinese Academy of Sciences developed a new method for fabricating high-precision, low-curvature microelectrode arrays which are designed for recording neuronal activities in the brain's deep, small volume region.
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a point cloud 3D object detection method based on attention mechanism and data augmentation.
Prof. HU Benlin’s team at the Ningbo Institute of Materials Technology and Engineering has developed an intrinsic ferroelectric elastomer with a high dielectric constant and a low dielectric loss, which can effectively improve the performance and stability of smart wearables.
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