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 team led by Prof. PAN Jianwei, Prof. WAN Zhensheng and Prof. DENG Youjin from the University of Science and Technology of China of the Chinese Academy of Sciences observed counterflow superfluidity in two-component Mott insulator for the first time.
A collaborated team led by researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has successfully developed advanced semiconductor-based radiation detectors, significantly improving their performance for use in extreme environments.
DICP researchers have achieved highly efficient photo-driven carbonylation of methane with carbonic oxide and oxygen to acetic acid using a nano-heterostructure catalyst.
Prof. LIN Zhenyang at Hongkong University of Science and Technology and Prof. LIU Guosheng at Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences described how a copper-bound tert-butoxy radical intermediate facilitates site- and enantio-selectively oxidation of C(sp3)-H on a range of alkenes and alkynes.
Researchers from the Wuhan Botanical Garden of the Chinese Academy of Sciences (CAS) and the Royal Botanic Gardens, Kew, UK, collected acorns from 20 Fagaceae species in the UK, Spain, and China during 2020 and 2021. They simulated the effects of animal feeding by carefully removing up to 96% of the acorns' nutrient reserves without harming the embryo. The affected seeds were then planted, and their development was monitored from germination to seedling growth.
An international team led by Prof. John Speakman from the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences derived a predictive model by combining classical statistics and machine learning for total energy expenditure, providing a more objective way to assess the validity of food intake records.
A research team led by Prof. WANG Fan from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS) has recently made advancements in understanding the generation mechanisms of deep near-inertial kinetic energy.
Recently, Dr. HUANG Pu from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences, in collaboration with other researchers, reported a new species of Zosterophyllum, Z. baoyangense, from the Lower Devonian of Guizhou Province. They also compiled a multi-morphological-character dataset of zosterophyllopsids from the late Silurian to Early Devonian and revealed divergent life-history strategies within this group.
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences leveraged the advanced capabilities of SDGSAT-1's Glimmer Imager and Thermal Infrared Spectrometer to monitor gas flaring activities in the South China Sea.
A research team from the Xinjiang Institute of Physics and Chemistry of CAS proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data type but also detects the most representative network paths involved in regulating genes that drive cancer formation and progression.
A joint research team from Hefei Institutes of Physical Science of the Chinese Academy of Sciences has successfully developed a continuous cryogenic pellet injection system for tokamak fueling. This innovative system addresses key technical challenges associated with cryogenic ice formation, pellet cutting, and launching.
A team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an innovative green pesticide formulation that promises to enhance pest control while prioritizing safety for both crops and the environment.
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