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Obesity is caused by a long-term excess of energy intake over expenditure which leads to the storage of excess energy as fat in adipose tissue or other tissues. The activation of adipose tissue dependent adaptive thermogenesis could increase energy expenditure and improve glucose and lipid metabolism, which is promising target for obesity. Both brown adipocytes and beige adipocytes participate in thermogenesis. Thermogenic adipocytes in adults are more close to beige adipocytes which have the capability to switch between an energy storage and energy dissipation phenotype, and could be activated by cold or adrenegic stimuli. Mitochondrial protein uncoupling protein 1 in thermogenic adipocytes could dissipate energy as heat. Recent studies have found that mitochondrial dynamics, quality control, metabolites and itself as the signaling organelles play vital roles in regulating beige biogenesis and function. This review will discuss the characteristics of mitochondrial and how mitochondrial regulate beige adipose tissue. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Southeast University / Dongnan Daxue Xuebao is the property of Journal of Southeast University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Hubei Open Vocational College is the property of Journal of Hubei Open Vocational College Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In view of the fact that the images taken in rainy days will be disturbed by noise such as rain stripes, which will affect the processing results of the visual algorithm, an information distillation rain removal network based on discrete attention mechanism is proposed to remove rain from a single image. In this model, the pooled network composed of hole convolution is used for data extraction, and the characteristics of particles of various sizes are integrated to obtain the maximum receptive field and reduce the loss of resolution. The cyclic network is used for selective feature extraction to increase the weight of important features. Through the discrete attention distillation module, the details of the image are gradually refined. After some detail features are obtained, the remaining features are further refined. The algorithm is trained in common data sets rain100 h, rain100 l and self built data set RS1000. The peak signal-to-noise ratio and structure similarityreach 30.06/0.913, 38.61/0.983 and 33.86/0.950 respectively. Experimental data show that the algorithm is superior to the comparison algorithm in both indicators, and the details are preserved more completely. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)