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 team led by Prof. YAO Hongbin, FAN Fengjia, LIN Yue, and HU Wei from the University of Science and Technology of China has resolved a critical challenge in PeLEDs by identifying and addressing the root cause of efficiency loss at high brightness, and enabled record-breaking device performance by introducing a novel material design.
Researchers from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences, have made significant strides in the machine learning (ML)-assisted discovery of infrared functional materials (IRFMs). The research team developed a cohesive framework that integrates interpretable ML techniques to facilitate the targeted synthesis of these materials.
A research team led by Prof. CHEN Chunying from the National Center for Nanoscience and Technology of the Chinese Academy of Sciences revealed the complete biological fate of polylactic acid microplastics in the gut of mice, particularly focusing on their microbial fermentation into endogenous metabolites and their involvement in the carbon cycle.
Researchers from the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences and the Shenzhen University developed a miniaturized, portable bio-battery, which enables the precise control over bioelectrical stimulation and physiological blood pressure signals.
Prof. LI Dong's group from the Institute of Biophysics, together with researchers from Tsinghua University, has provided the first direct evidence that transmembrane fusion proteins enriched in intrinsically disordered regions can dynamically remodel endomembrane systems via liquid-liquid phase separation in living cells using Multi-SIM super-resolution imaging technology.
A study published in Cell and led by Dr. DU Jiulin's lab at the Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology of the Chinese Academy of Sciences uncovered the core regulatory mechanism of brain meningeal lymphatic system development.
A new study reveals that changes in plant life played a crucial role in accelerating major climate shifts during the Late Miocene, a period that lasted from 11.6 to 5.3 million years ago.
A recent study shows that marine oxygen levels were crucial to the evolution of Early Paleozoic trilobite body size, suggesting that oxygen may have influenced the evolution of other animals’ body size as well.
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences have developed a novel method for mapping carbon dioxide (CO₂) emissions across Nanchang, the capital city of Jiangxi province in eastern China. This study provides a clearer picture of the city's carbon footprint
Scientists from the Aerospace Information Research Institute of the Chinese Academy of Sciences, in collaboration with Shihezi University, have developed a new method for grading cotton Verticillium wilt (VW). This method correlates with yield loss and is suitable for remote sensing monitoring to assess the severity of VW.
A research team led by Prof. DI Kaichang from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed an innovative method to enhance the study of lobate scarps—small reverse fault landforms thought to reflect ancient tectonic activity on the Moon.
A research team from the Hefei Institutes of Physical Science has developed a novel large-scale compound cryopump (multi-stage cryopump) capable of separating fuel particles from helium ash—a breakthrough that could significantly advance fuel handling systems in future fusion reactors.
86-10-68597521 (day)
86-10-68597289 (night)
52 Sanlihe Rd., Xicheng District,
Beijing, China (100864)
Copyright © 2002 - Chinese Academy of Sciences
