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Objective To explore the effect of Yunnan specialty rice products on blood sugar by measuring the glycemic index of 5 Yunnan special rice foods: rice noodles, rice cakes, rice rolls, sour rice noodles and dry rice noodles. Methods　 Following the national standard method to determine the carbohydrate content of 5 Yunnan specialty rice products， and the target amount of the test substance was calculated. Food Glycemic Index Determination Method was used to determine the glycemic index of 5 Yunnan specialty rice products and observe their impact on blood sugar. Results　 The GI value of Yunnan specialty food rice noodle is 63，rice cake is 64， rice roll is 46，sour rice noodles is 38，and dry rice noodles is 33. Conclusion　Yunnan specialty foods rice noodle and rice cake belong to medium GI foods, and diabetes patients should reduce consumption; rice roll, sour rice noodles, and dry rice noodles belong to low GI foods and can be a better staple food source for diabetes patients. [ABSTRACT FROM AUTHOR]

With the supervised deep learning algorithms, it is prone to generate artifacts when restoring the blurred solar speckle images taken by Yunnan Observatories, and it has a long training time and over-reliance on reference images, this paper proposed a weakly supervised method based on structural reparameterization combined with multi-branch module to reconstruct solar speckle images. First, deblurring model combined single-scale and multi-scale network to design, with constructing multi-branch modules to extract features of different scales, enhance detailed information, and reduce the generation of artifacts; second, each branch structure re-parameterized to make the reuse of structure parameters runs through the entire feature extraction process; after that, the deblurring model embedded in the weakly supervised training, the blurred image assorted firstly, then the degradation model used to learn different levels of degradation. Constituted paired dataset of corresponding levels, and the deblurring model used to inversely degenerate the dataset to reconstruct solar speckle images. Experimental results show that compared with the existing deblurring method, the proposed method has higher model training efficiency and less dependence on reference images, which can meet the high-resolution reconstruction requirements of solar speckle images. [ABSTRACT FROM AUTHOR]