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.
At the 59th "Rencontres de Moriond EW", the LHCb collaboration announced a historic breakthrough in particle physics: the first observation of Charge-Parity (CP) violation in baryon decays. This breakthrough shed new light on one of the universe's most profound mysteries—why matter dominates over antimatter.
A research team led by Prof. HU Bingliang and Prof. YU Tao from the Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences has developed the physicochemical-informed spectral Transformer (PIST) model combined with ultraviolet-visible-shortwave near-infrared (UV-vis-SWNIR) spectroscopy for water quality sensing.
A study by HE Zhuohao’s team from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with collaborators, has revealed the critical role of the “fuzzy coat” of α-synuclein—the flexible, disordered regions that extend from the fibril core—in prion-like pathological transmission in synucleinopathies.
A research team led by Prof. LIU Gang from the Institute of Metal Research (IMR) has achieved a breakthrough in photocatalytic water splitting by developing a scandium-doped titanium dioxide semiconductor in the rutile crystal phase.
Huanglongbing (HLB) is a devastating citrus disease. Prof. YE Jian's team at the Institute of Microbiology has identified the first citrus resistance mechanism to HLB and developed antimicrobial peptides effective against the disease using artificial intelligence technology.
Researchers from the Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences, along with the collaborators, systematically reviewed contemporary breakthroughs in Lauraceae systematics.
Researchers reveal that compositional rock anomalies within oceanic plates—formed by ancient tectonic activity—can alter the speed and trajectory of these plates as they plunge into Earth's mantle at subduction zones.
A recent study led by Prof. CHEN Yaning from the Xinjiang Institute of Ecology and Geography has found that climate warming is increasing flood risks from rain-on-snow events in High Mountain Asia. The researchers reveal that High Mountain Asia experiences an average of 22.4 ROS days per year.
A recent study highlights how China's FengYun-3 (FY-3) meteorological satellites have improved global tracking of land surface temperature throughout daily cycles. Led by Prof. ZHAO Tianjie from the Aerospace Information Research Institute of the Chinese Academy of Sciences, the study utilizes the unique capabilities of the FY-3's Microwave Radiation Imagers (MWRI) to overcome the limitations of traditional satellite-based LST retrieval methods.
A research team, led by Prof. MENG Qingyan from the Aerospace Information Research Institute of the Chinese Academy of Sciences, has successfully developed the Global Spatiotemporal Fusion Model (GLOSTFM), a high-efficiency spatiotemporal fusion model that utilizes multi-source satellite data. By integrating thermal infrared and microwave observations from the Fengyun-3D satellite, GLOSTFM enhances the spatiotemporal resolution of land surface temperature data.
A new study has revealed that current satellite systems underestimate total CO₂ emissions from U.S. thermal power plants by 70% (±12%). The research, led by scientists from the Aerospace Information Research Institute of the Chinese Academy of Sciences, highlights important gaps in remote sensing technology.
A collaborative research team has improved visual localization and topographic mapping techniques that enable China's Zhurong rover to navigate and conduct scientific investigations on Mars. These techniques played a crucial role in the success of the Tianwen-1 mission, which is China's first independent interplanetary exploration effort.
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