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 research group led by Prof. YAO Baoli and Dr. XU Xiaohao from Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences revealed a full-gray optical trap in structured light, which is able to capture nanoparticles but appears at the region where the intensity is neither maximized nor minimized.
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.
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.
A research team led by Prof. NIE Guangjun from the National Center for Nanoscience and Technology (NCNST) of the Chinese Academy of Sciences and collaborators have demonstrated a tumor membrane antigens-based nanovaccine derived from liposomal doxorubicin treated tumor tissues, which is efficacious in inducing a potent immunological defense against tumors.
A group of Chinese scientists have recently reported that XYLAN O-ACETYLTRANSFERASE 6 (XOAT6) enhances xylan polymerization and folding by forming a complex with IRREGULAR XYLEM10 (IRX10), thus regulating wall strength and recalcitrance in rice.
An international research team has made a notable discovery of fossil embryos belonging to Ecdysozoa, a diverse group of animals including roundworms, velvet worms, insects, and crabs. These fossils, dated to approximately 535 million years ago, were found in the early Cambrian Kuanchuanpu biota in southern Shaanxi Province, China.
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).
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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