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 team of researchers led by Prof. SHAO Dingfu from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Prof. XIAO Ruichun and Prof. LI Hui from Anhui University, have identified a unique phenomenon, known as the "skin effect," in the nonlinear optical responses of antiferromagnetic materials.
The Low Energy high intensity heavy ion Accelerator Facility (LEAF), independently developed by the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences (CAS), passed the expert panel acceptance inspection organized by the National Natural Science Foundation of China on December 9.
A team of Chinese researchers has recently elucidated the characteristics of human eyelashes. Their study reveals that eyelashes consist of a hydrophobic, curved, flexible fiber array, featuring surface micro-ratchets and a macro-curvature approximating the Brachistochrone curve. This structure enables eyelashes to rapidly and directionally expel incoming liquid, thereby preserving clear vision.
A research team led by Prof. KANG Yanbiao from the University of Science and Technology of China reported a discovery in the field of environmental chemistry. The team developed a novel photocatalyst named KQGZ which can photocatalytically defluorinate polyfluoroalkyl and perfluoroalkyl substances (PFASs) at a low temperature range of 40–60°C.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences and collaborators examined how biotic factors and abiotic factors affect the aboveground biomass at two spatial scales in a tropical seasonal rainforest in southwestern China.
A recent collaborative study has deciphered the cryo-EM structure of the spinach type I PSII-LHCII megacomplex, providing insights into the principles of higher-order assembly and the potential regulatory mechanisms of plant PSII under low-light conditions.
The evolution of the lunar dynamo is crucial for understanding the Moon's deep interior structure, thermal history, and surface environment. A recent study by Chinese scientists conducted paleomagnetic analyses on basalts returned by the Chang'e-6 mission and revealed a significant reinforcement of the lunar dynamo approximately 2.8 billion years ago (Ga).
A research team at the Northwest Institute of Eco-Environment and Resources of the Chinese Academy of Sciences (CAS) has quantitatively assessed the hydrological connections between soil water in the permafrost active layer, water above the frozen layer, and surface runoff, utilizing long-term data collected from multiple sites across the Qinghai-Xizang Plateau.
In many Asian regions, especially in China, agricultural fields are typically small, scattered, and lack of clear boundaries, which complicates effective crop distribution and agricultural analysis using remote sensing technology. Now, a research group from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, addressed this challenge with a novel dual-branch deep learning model (DBL) they developed.
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 team led by Professors WU Yuejin and WANG Qi from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new way to quickly assess the sensory quality of pumpkins using high-tech tools.
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.
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