In a study published in Chem Eng J, the research group led by Prof. WU Lixin from Fujian Institute of Research on the Structure of Matter of the Chinese Academy of Sciences reported a self-cleaning slippery surface with ultra-long service.
Researchers from the Shenzhen Institute of Advanced Technology and their collaborators imaged the atomic structure of perovskite CH3NH3PbI3 and discovered its degradation pathway.
Recently, a research team led by Prof. Cao Jianzhong from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed an image fusion network based on variational auto-encoder, which outperformed other traditional and deep learning methods under different evaluation metrics.
Thegroup led by Prof. DAI Houde from Fujian Institute of Research on the Structure of Matter of the Chinese Academy of Sciences reported a simplified MPA to calculate an AGV' 2-D position based on the analytical method of a single tri-axis magnetometer and data fusion strategy based on confidence criterion between positioning results of multiple tri-axis magnetometers.
Researchers from the Hefei Institutes of Physical Science (HFIPS) reported that they have developed a pain-free, non-invasive and fast way to make early warning for diabetes. It is all down to a non-invasive scan equipment that checks the Advanced Glycation End Products (AGEs) level concentrating in a person's skin tissue.
A research team led by Prof. LU Xiaoqiang from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed a novel mutual attention inception network (MAIN) and a dataset named RSIVQA for remote sensing visual question answering.
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