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.
Prof. ZHANG Ying's group from the Institute of Physics, in collaboration with domestic universities and the Alamos National Laboratory in the United States, has experimentally discovered current-driven antiskyrmion sliding.
A research team from the University of Science and Technology of China presented a detailed analysis of a tidal disruption event (TDE) with unique characteristics, providing new insights into the behavior of TDEs and their multiwavelength emissions.
A research group led by Prof. GE Ziyi at the Ningbo Institute of Materials Technology and Engineering has proposed a key strategy for optimizing guest components to minimize non-radiative voltage losses and thus achieve high-efficiency ternary organic solar cells.
Researchers from the Dalian Institute of Chemical Physics, and Stanford University, have realized hydrogen formation by contact electrification at oil-water microdroplet interfaces and its regulation.
LI Xiaowei from the Wuhan Botanical Garden investigated how polystyrene microplastics pollution affected the invasion process of exotic submerged macrophytes, as well as the mechanism of the influence of the soil physicochemical property, the microbial structural function, and plant functional traits therein.
Researchers led by YANG Hongbo from the Suzhou Institute of Biomedical Engineering and Technology and CHENG Huanyu of Pennsylvania State University proposed a sparse sensor network with soft wireless inertial motion unit devices for automatic early evaluation of general movements in infants, which will facilitate immediate evaluation of potential development disorders and timely rehabilitation.
To gain insights into the evolution and diversity of this intricate biomineralized columnar architecture, researchers led by Dr. ZHANG Zhiliang from the Nanjing Institute of Geology and Palaeontology examined exquisitely well-preserved fossils of some of the oldest families of linguliform brachiopods, providing new fossil evidence for understanding the biomineralization process and adaptive evolution of the ancestral brachiopod taxa of the Early Cambrian.
A recent study shows that western Central Asia has experienced a long-term drying trend over the past 7,800 years. This discovery, based on the analysis of a stalagmite from the Fergana Valley in Kyrgyzstan, adds a critical piece to the understanding of westerly-influenced hydroclimatic patterns in Central Asia.
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.
A research team led by Prof. LI Zhicheng from the Shenzhen Institute of Advanced Technology has proposed an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images without requiring molecular test.
Researchers led by Prof. WANG Rujing and Assoc. Prof. CHEN Xiangyu from the Hefei Institutes of Physical Science, together with Prof. HONG Yan's research group from Anhui University of Science and Technology, have developed a novel microfluidic chip with capacitively coupled contactless conductivity detection integrated 3D microelectrodes to rapidly and quantitatively determine abundant nutrient ions in soil.
Researchers led by Prof. LI Dacheng from the Hefei Institutes of Physical Science have developed a high-spectral device capable of meeting high-precision continuous measurements - the Ground-based Infrared Hyperspectral Spectrometer. This device is designed to continuously and accurately assess the radiation characteristics of both the atmosphere and the Earth's surface, providing critical data to better understand changes in our environment.
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