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Probiotics were found to be effective in ameliorating the microbial dysbiosis and inflammation caused by intestinal pathogens. However, biological challenges encountered during oral delivery have greatly limited their potential health benefits. Here, a model probiotic (Lactobacillus rhamnosus) was encapsulated in an intestinal-targeted hydrogel to alleviate bacterial enteritis in a novel mode. The hydrogel was prepared simply by the self-cross-linking of thiolated hyaluronic acid. Upon exposure to H 2 S which were excreted by surrounding intestinal pathogens, the hydrogel can locally degrade and rapidly release cargos to compete with source pathogens in turn for binding to the host. The mechanical properties of hydrogel were studied by rheological analysis, and the ideal stability was achieved at a polymer concentration of 4% (w/v). The morphology of the optimal encapsulation system was further measured by a scanning electron microscope, exhibiting uniform payload of probiotics. Endurance experiments indicated that the encapsulation of L. rhamnosus significantly enhanced their viability under gastrointestinal tract insults. Compared with free cells, encapsulated L. rhamnosus exerted better therapeutic effect against Salmonella-induced enteritis with negligible toxicity in vivo. These results demonstrate that this redox-responsive hydrogel may be a promising encapsulation and delivery system for improving the efficacy of orally administered probiotics.

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In the context of uneven development studies of China, urban built-up area changes are the index of the impact of power, as the local government is the only party that is able to acquire agricultural land and convert it to construction urban land. Existing studies generally use statistical data to describe the built-up area changes and struggle to meet the requirement of an updated and inexpensive monitoring of uneven development, especially for western cities with tight budgets. Open access NPP-VIIRS (Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite), NDVI (Normalized Difference Vegetation Index), and nighttime LST (Land Surface Temperature) data ranging from 2015 to 2019 were analyzed with a stratified SVM (Support Vector Machine) method in this study to track urban built-up area changes in Chengdu, one of the biggest cities in Western China. The SDE (Standard Deviation Ellipse) and Moran’s I were then applied to evaluate the spatial variations of the built-up area changes. It was revealed that the spatial evolution of built-up area change in Chengdu over the period 2015–2019 demonstrated a “northwest-southeast” spatial expansion pattern, and the change distance in the center of gravity in 2018 and 2019 was greater than that from 2015 to 2017, which reflected the faster uneven development in 2018 and 2019 in Chengdu. The results were verified with finer resolution Landsat-8 OLI images; the high OA (all larger than 92%) and KAPPA (all larger than 0.6) values showed the accuracy of the method. The methodology proposed in this study offers a practical way for cities with tight budgets to monitor uneven development, and this study suggests a further adaption using higher-resolution remote sensing images and field experiments.