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Study of compensatory growth based on different nutrition conditions of Bombyx mori
Dai Minli,Feng Piao,Mao Tingting,Gu Haoyi,Bian Dandan,Sun Haina,Li Fanchi,Wei Jing,Li Bing 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.3
Organisms achieve compensatory growth after a period of nutrient restriction followed by recovering the nutrient status. However, the underlying mechanisms associated with such growth acceleration remain unclear. The silkworm Bombyx mori is a lepidopteran model insect. This study aimed to investigate the physiological characteristics and the underlying mechanisms in B. mori fed on mulberry leaves (MG), artificial diet (AG), and artificial diet + mulberry leaves (AG-MG), respectively. Silkworms in AG-MG which fed on artificial diet from 1st to 3rd instars followed by feeding on mulberry leaves from 4th to 5th instars exhibited a higher weight gain rate than that in MG and AG, indicating that compensatory growth occurred as a result of the switch in the silkworm food regime. Trypsin and lipase activities of silkworms in AG-MG were shown to be up-regulated at 72 h after changing food. Digital gene expression profiling (DGE) analysis revealed that genes related to metabolism and development in silkworm midguts were differentially expressed. The quantitative real-time PCR (qRT-PCR) re sults showed that the expression levels of IIS/PI3K-AKT pathway genes including INR, IRS, AKT, PI3K60 and PI3K110 of silkworms in AG were down-regulated compared with that in MG at 0 h. Whereas AKT, PI3K and PI3K60 of silkworms were significantly increased by 1.68-, 1.49-, 1.67-fold, respectively, at 72 h after switched to mulberry leaves than the same instar fed on artificial diet. PDK’s expression of silkworms in AG was higher than that in other two groups at each timepoint. Compared with MG and AG, PTEN and IRS were down-regulated at 48 and 72 h in AG-MG. Collectively, these results indicate that compensatory growth in B. mori is regulated by IIS/ PI3K-AKT signaling pathway.
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Health Status Evaluation of Catenary Based on Normal Fuzzy Matter-Element and Game Theory
Lingzhi Yi,Jian Zhao,Wenxin Yu,Guzong Long,Haoyi Sun,Wang Li 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.5
At present, there is no unifi ed standard for the health status evaluation of electrifi ed railway catenary in China. The current catenary evaluation model only considers quantitative detection indicators, without qualitative indicators such as weather, which is one-sided to some extent. Thus, an improved catenary status evaluation model is constructed with both quantitative indicators and qualitative indicators. In this evaluation model, the normal fuzzy matter-element method is used to determine the correlation value of each grade, and the weighted average principle is used to re-determine the status grade of catenary when the maximum correlation principle fails. Meanwhile, entropy weight method and particle swarm optimization algorithm to optimize analytic hierarchy process method are combined to improve the shortcomings of single weight method, and game theory is used to determine the subjective and objective weight coeffi cients, so as to reduce the infl uence of subjective experience. Select a Chinese railway catenary in 2018 as an example for verifi cation analysis, the results show that the model constructed in this paper can eff ectively help professionals to make correct judgments on the health status of catenary, and provide a new idea and method for the comprehensive evaluation of the catenary operation status, which has certain practicability
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