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.
Profs. SHEN Laiquan, BAI Haiyang, et al. from Prof. WANG Weihua's group at the Institute of Physics have clarified the respective effects of irradiation and impacts on the formation of metallic iron nanoparticles (npFe0).
Recently, a research team led by Associate Prof. PAN An from Xi’an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences reported a feature-domain Fourier ptychographic microscopy scheme, realizing artifact-free full field of view reconstruction in the presence of various systematic errors. Furthermore, FPM was firstly applied to a whole slide imaging (WSI) platform, providing inspirations for low-cost implementation of pathological screening.
Researchers from the Institute of Mechanics of the Chinese Academy of Sciences (CAS), and the Suzhou Institute of Nano-Tech and Nano-Bionics of CAS, and their collaborators, reveal a strategy to fabricate carbon nanotube fibers with dynamic strength up to 14 GPa.
Researchers from ShanghaiTech University, the Shanghai Institute of Materia Medica, and China State Institute of Pharmaceutical Industry, revealed that ApoA-1 can transport drugs encapsulated within lipid nanoparticles to myeloid cells, leading to myelopenia and consequently lymphopenia, and demonstrated that these side effects can largely be avoided simply by conjugating drugs to the nanoparticles without reducing antitumor activity of drugs.
Researchers from the Xishuangbanna Tropical Botanical Garden have provided strong support for this central prediction by examining phytochemical diversity and herbivory in 60 tree communities ranging from species-rich tropical rainforests to species-poor subalpine forests.
A research team led by Prof. CHEN Yan and Prof. YANG Lifeng from the Shanghai Institute of Nutrition and Health of the Chinese Academy of Sciences has revealed a physiological function of monocarboxylate transporter 1 (MCT1), which is coded by Slc16a1, in mediating intracellular and extracellular lactate transport in skeletal muscle.
A recent study by Prof. HUANG Gang from the Institute of Atmospheric Physics highlights the challenges facing the Amazon under a CO2 removal scenario.
The Chang'e-6 lander successfully touched down in the South Pole-Aitken Basin on the far side of the Moon. The lunar penetrating radar effective payload, developed by the Aerospace Information Research Institute of the Chinese Academy of Sciences, undertakes the task of subsurface detection before drilling and sampling.
A research team led by Prof. LIU Lizhuang from the Shanghai Advanced Research Institute of the Chinese Academy of Sciences proposed a deep learning model named TransLNP based on self-attention mechanisms, which maps the three-dimensional microstructure and biochemical properties of mRNA-LNPs to enable high-precision automated screening of LNPs.
A research team from the University of Science and Technology of China of the Chinese Academy of Sciences proposed a novel design methodology for Gaussian random number (GRN) generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
Prof. ZHANG Guangping and his research team from Institute of Metal Research have revealed the vacancy-dominated fatigue mechanism at smaller scales through quantitative analysis of fatigue damage.
Researchers led by Prof. WANG Rujing and WANG Liusan from the Hefei Institutes of Physical Science have established a learnable full-frequency transformer dual generative adversarial network to address the problem of underwater image quality degradation caused by various interferences.
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