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 from the Xin gian g Astronomical Observatory of the Chinese Academy of Sciences, along with the collaborators, conducted phase-referenced observations using the Very Long Baseline Array (VLBA) at 5 GHz on four confirmed radio-selected dual AGNs in Stripe 82 region.
For the first time, physicists have observed excited states in the very neutron-deficient odd-odd nucleus, lanthanum-120. The study was published inPhysics Letters B,and was conducted by researchers from the Institute of Modern Physics of the Chinese Academy of Sciences, and their collaborators from France, Finland, South Africa and other countries.
Researchers from the Qingdao Institute of Bioenergy and Bioprocess Technology have developed low-cost micro-sized silicon anodes from recycled photovoltaic waste using a novel electrolyte design.
Prof. QU Xiaogang from the Changchun Institute of Applied Chemistry of the Chinese Academy of Sciences and his colleagues presented a novel strategy for achieving DNA G4 stabilization at specific genome loci by combining CRISPR and G4-stabilizing proteins or compounds.
A research team from the Hangzhou Institute of Medicine of the Chinese Academy of Sciences resolved the first high-resolution structure of the sgc8c DNA aptamer that targets protein tyrosine kinase 7 (PTK7), engineered two optimal sgc8c variants for disease theranostics efficiently, and revealed new principles for the sophisticated structural and functional organization of DNA molecules.
The lab of Prof. George Fu Gao at the Institute of Microbiology of the Chinese Academy of Sciences revealed the spike (S) protein structures of the recently emerged BA.2.86, JN.1, EG.5, EG.5.1 and HV.1 variants of SARS-CoV-2, and conducted systematic comparative analysis on these sub-variants.
A new study has revealed that Denisovans survived on the Qinghai-Xizang Plateau as late as 48-32 ka BP, by butchering and consuming a diverse range of animals. It sheds light on Denisovan behaviour, and demonstrates how adaptable Denisovans were to the harsh and variable environment of the Qinghai-Xizang Plateau.
Scientists at the Institute of Applied Ecology have made a breakthrough in understanding why Korean pine trees are struggling to regenerate naturally in certain forests. These broadleaf Korean pine forests are vital for capturing carbon dioxide from the atmosphere and maintaining healthy ecosystems in northeast China.
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.
Researchers from USTC proposed a novel design methodology for Gaussian random number generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
Researchers led by Prof. ZHU Jin at the Ningbo Institute of Materials Technology and Engineering have developed a novel mechano-responsive elastomer, i-DAPU, achieving high-performance iontronic skin that integrates self-healing and synchronous sensing.
A group of researchers from the Hefei Institutes of Physical Science has designed and developed advanced microfluidic sensor arrays that use fluorescent probes to simultaneously visualize and quantitatively detect multiple heavy metal ions in environmental water in real time.
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