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Molecular cloning and characterization of the putative Halloween gene Phantom from the small brown planthopper Laodelphax striatellus

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Insect Science 2015年第6期22卷 707-718页

作者： Shuang Jia Pin-Jun Wan Guo-Qing Li Education Ministry Key Laboratory of Integrated Management of Crop Diseases and Pests College of Plant Protection Nanjing AgriculturalUniversity Nanjing 210095 China

Ecdysteroid hormone 20-hydroxyecdysone plays fundamental roles in in- sect postembryonic development and reproduction. Several cytochrome P450 mono- oxygenases （CYPs）, encoded by the Halloween genes, have been documented to be involved in ecdysteroidogenesis in representative insects in Diptera, Lepidoptera and Orthoptera. Here the putative Halloween gene Phantom （Phm, cyp306al） from a hemipteran insect species, the small brown planthopper Laodelphax striatellus, was cloned. LsPHM shows five insect conserved P450 motifs, that is, Helix-C, Helix-I, Helix-K, PERF and heme- binding motifs. Temporal and spatial expression patterns of LsPhm were evaluated by quantitative polymerase chain reaction. Through the fourth-instar and the early fifth-instar stages, LsPhm showed two expression peaks in day 2 and days 4-5 fourth-instar nymphs, and three troughs in day 1 and 3 fourth instars and day 1 fifth instars. On day 5 of the fourth-instar nymphs, LsPhm clearly had a high transcript level in the thorax where the prothoracic glands were located. Dietary introduction of double-stranded RNA （dsRNA） of LsPhm at the nymph stage successfully knocked down the target gene, decreased expres- sion level ofecdysone receptor （LsEcR） gene and caused a higher nymphal mortality rate and delayed development. Ingestion of 20-hydroxyecdysone on LsPhm-dsRNA-exposed nymphs did not increase LsPhm expression level, but almost completely rescued the LsEcR mRNA level, and relieved the negative effects on survival and development. Thus, our data suggest that the putative LsPhm encodes a ftmctional 25-hydroxylase that catalyzes the biosynthesis of ecdysteroids in L. striatellus.

关键词： double-stranded RNA ecdysteroidogenesis Laodelphax striatellus perfor-mance Phantom

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WEAR performance AND MECHANISM OF ZINC-ALUMINUM（ZA27）ALLOY

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Journal of Southeast University(English Edition) 1995年第2期11卷 1-8页

作者：苏华钦施忠良朱鸣芳

ZA27 alloy has the best performance and the widest applications in high aluminum zinc based die casting alloy series. One of its main applica-tions is used as abrasion resistant alloy,instead of nonferrous alloys such... 详细信息

关键词： high aluminum zinc based alloy friction and wear perfor-mance dry friction oil lubrication wear mechanism

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A Short-Term Stock Exchange Prediction Model Using Box-Jenkins Approach

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Journal of Applied Mathematics and Physics 2020年第5期8卷 766-779页

作者： Paul Boye Yao Yevenyo Ziggah Mathematical Sciences Department University of Mines and Technology (UMaT) Tarkwa Ghana Geomatic Engineering Department University of Mines and Technology (UMaT) Tarkwa Ghana

This paper developed a short-term stock exchange prediction model using the Box-Jenkins approach. In this study, monthly data from Ghana Stock Exchange market report that spans from March 2013 to February 2018 were used to develop the model. ARIMA (0, 2, 1) model was fitted to the data based on the Bayesian Information Criterion (BIC) for model selection. Diagnostic checks showed that the residuals of the fitted model were uncorrelated. The developed model was used for forecasting for a period of six months. The trend of the forecasted values showed a significant increase in the Ghana Stock Exchange performance for the next six months.

关键词： ARIMA Bayesian Information Criterion Ghana Stock Exchange perfor-mance Indicator

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A Novel Statistical Power Model for Integrated GPU with Optimization

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国际计算机前沿大会会议论文集 2017年第2期 74-76页

作者： Qiong Wang Ning Li Li Shen Zhiying Wang College of Computer National University of Defense TechnologyChangsha China

GPUs are of increasing interests in the multi-core era due to their high computing power. However, the power consumption caused by the rising performance of GPUs has been a general concern. As a consequence, it is becoming an imperative demand to optimize the GPU power consumption, among which the power consumption estimation is one of the important and useful solutions. In this work, we present a novel statistical model that is capable of dynamically estimating the power consumption of the AMD's integrated GPU (iGPU). Precisely, we adopt the linear regression for power consumption modeling and propose a mechanism called kernel extension to lengthen the kernel execution time so that we can sample system data for model evaluation. The results show that the median absolute error of our model is less than 3%. Furthermore,to reduce the latency of power consumption estimation, we conduct a study to explore the possibility to simplify our statistical model. The results suggest that the accuracy and stability is still acceptable in the simplified model. This provides a desirable option to reduce our model latency when it is applied to the iGPU power consumption optimization in the real world.

关键词： Regression model Integrated GPU architecture perfor-mance Power estimation

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