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 Yunnan Observatories of the Chinese Academy of Sciences simulated the evolution of massive stars with masses ranging from 50 to 150 solar masses during the nitrogen sequence Wolf-Rayet (WNL) star phase. They employed a newly developed k−ω model to handle the convective overshooting processes within the stellar interior, offering a more precise understanding of this complex phenomena in massive stars.
A collaborated team led by researchers from Hefei Institutes of Physical Science of the Chinese Academy of Sciences, enables efficient construction of gold microsphere array-based anisotropic conductive adhesives film (ACF) for advanced packaging.
The question as shifting or advancing paradigms in science, and tackling global challenges such as SDGs, climate change and human health have puzzled scientists for decades, and Professor LI Jingha summarized his four-decade study on the questions and outlined future directions for the study.
A research team led by Prof. ZHU Qingshan from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences, developed a precursor hydrolysis method (PHM) to achieve mass production of SiO2 MHSs. The study was published in Advanced Materials.
Researchers from the Single-Cell Center at the Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences, together with collaborators, developed an artificial intelligence-assisted Raman-activated cell sorting (AI-RACS) system. This system automated the isolation and functional analysis of aluminum-tolerant microorganisms (ATMs) from acidic soil, marking a shift from manual, labor-intensive procedures to high-throughput automated workflows.
Visual systems of both humans and animals can detect life motion from the environment at the earliest stage of visual processing, a recent joint research by scientists from the Chinese Academy of Sciences (CAS) uncovered. Results of the study were published in Nature Communications on Nov. 7, entitled "Detecting biological motion signals in human and monkey superior colliculus: a subcortical-cortical pathway for biological motion perception".
A research team led by Prof. Jilili Abuduwaili from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences investigated the health risks of PTEs in surface water in the Tarim River Basin, China.
The Moon has a global dichotomy, with its near and far sides having different geomorphology, topography, chemical composition, crustal thickness, and evidence of volcanism. To better understand this dichotomy, Professor XU Yigang's team from the Guangzhou Institute of Geochemistry of the Chinese Academy of Sciences investigated lunar soil samples from the far side South Pole-Aitken (SPA) Basin of the Moon returned by the Chang'e-6 mission.
A research team led by Prof. WANG Shanshan at the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, together with collaborators, has developed a chest X-ray vision-language foundation model, MaCo, reducing the dependency on annotations while improving both clinical efficiency and diagnostic accuracy.
A team led by Dr. XU Jinping from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, together with collaborators, proposed a multiscale transformer-based model for the end-to-end segmentation of FCD lesion from multi-channel MR images, enhancing the feature representation of lesions in global field of view.
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.
Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a high-tech drowning prevention and rescue system and introduced it to a scenic water area in Central China's Henan Province on Oct. 25.
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