A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has systematically mapped and analyzed the cultural landscape of historic folk fortresses in Tianshui, a city in northwest China's Gansu Province, uncovering new insights into a long-neglected form of grassroots cultural heritage.
A team led by Prof. LI Yang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences developed and validated a label-free, non-invasive method combining atomic force microscopy with deep learning for accurate profiling of human macrophage mechanophenotypes and rapid identification of their polarization states.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new method for evaluating urban sustainability, leveraging high-resolution data from the SDGSAT-1 satellite.
A new study led by researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences has for the first time mapped the long-term, large-scale transport pathways of PM2.5 pollution across China spanning from 2000 to 2021, providing scientific support for refining national air quality management strategies.
A new study has revealed that tiny organisms called snow algae are significantly contributing to the surface melting on Antarctic ice shelves. The discovery could have far-reaching implications for global sea level rise.
Researchers from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and the Peking Union Medical College Hospital developed a deep learning-based multimodal prognostic prediction model, CerviPro, which provides a comprehensive approach for risk stratification, enabling personalized treatment strategies.
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