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Studies on the Hereditary Properties of SSR Marker in Silkworm (Bombyx mori L.)
( Mu Wang Li ),( Ming Hui Li ),( Xue Xia Miao ),( Cheng Lu ),( Yong Ping Huang ) 한국잠사학회 2005 International Journal of Industrial Entomology Vol.11 No.1
Two BC1 group, c108×(p50×c108) and p50×(p50×c108), one group of F2 progeny, (p50×c108) F2, and 3 SSR markers, F10539, F10626 and F10618 were used to test the hereditary properties of SSR markers in silkworm. F10539, F10626 were proved to be linkage, and F10618 was proved to be independent to those two markers. According to Mendel`s law, the recombinant value between F10539, F10626 was calculated in all of these groups, and they were 8.55% (c108BC1), 8.02% (p50BC1) and 7.81% (F2) respectively. There was dominant difference among the crossing-over value using paired-samples tests by SPSS 10.0 software. This research proved that SSR markers were co-dominant in B. mori too, and F2 progeny could be used to construct SSR linkage map although B. mori lacked of crossing over in females.
Insect-specific microRNA involved in the development of the silkworm Bombyx mori
Yong Zhang,Xue Zhou,Xie Ge,Jiang-Hao Jiang,Mu-Wang Li,Shi-Hai Jia,Xiao-Nan Yang,Yun-Chao Kan,Xue-Xia Miao,Guo-Ping Zhao,Fei Li,Yong-Ping Huang 한국응용곤충학회 2009 한국응용곤충학회 학술대회논문집 Vol.2009 No.10
MicroRNAs (miRNAs) are endogenous non-coding genes that participate in post-transcription regulation by either degrading mRNA or blocking its translation. It is considered to be very important in regulating insect development and metamorphosis. Insects are the largest group of animals and are extremely valuable in biological and agriculture research. Insects are also important pests to human health and agriculture, and efforts are necessary protect both humans and plants from disease and damage. Despite their importance, insects lag behind mammals, nematodes, and plants in miRNA research. At present, only 279 insect miRNAs have been identified from Drosophila melanogaster, Anopheles gambiae, Apis mellifera, Bombyx mori, and D. pseudoobscura in miRBase, and most of these miRNAs were computationally predicted without experimental validation. Functional analysis of insect miRNAs has only been conducted in D. melanogaster.
Li Wang,Yuanchuan He,Yanlin Mu,Bo Wu,Mengjiao Liu,Yan Zhao,Xin Lai,Jian Bi,Daojiang Gao 대한금속·재료학회 2019 ELECTRONIC MATERIALS LETTERS Vol.15 No.2
LiFe(MoO 4 ) 2 microcrystals have been fabricated via a facile sol–gel driving process. The obtained LiFe(MoO 4 ) 2 microcrystalsare characterized through X-ray diff raction, thermal analysis, scanning electron microscope, transmission electronmicroscope and high resolution transmission electron microscope. The results demonstrate that the as-synthesized microcrystalspossess triclinic structure and exhibit uniform particle size of 1–2 μm. When served as anode material for lithiumion batteries, LiFe(MoO 4 ) 2 microcrystals display a very high specifi c capacity of 925 mAh g −1 at a current rate of 1 C after500 cycles and a high retention rate of 88%, showing superior electrochemical performance.
Li Zhao,Xiao-Nan Zhang,Hong-Yan Gu,Jia Wang,Lei Tao,Rong Mu,Qing-Long Guo 한국식품과학회 2009 Food Science and Biotechnology Vol.18 No.1
Three traditional Chinese medicines, Agrimonia pilosa Ledeb, Grifola umbellata (pers.) Pilat, and Gambogia, are combined to form a compound extract, AGC. In this study, the in vitro and in vivo inhibitory effects of AGC on human gastric carcinoma MGC-803 cells were demonstrated, and the molecular mechanisms underlying these effects are investigated. Our results indicate that AGC inhibited MGC-803 cell growth in a dose-dependent manner as measured by a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay, with an IC?? of about 6.045±0.69 ㎍/㎖. In vivo, AGC inhibited growth of human gastric carcinoma in xenograft tumors in nude mice, and the inhibitory rate reached 55.2% at 300 ㎎/㎏. The pro-apoptotic activity of AGC was attributed to its ability to decrease the expression of Bcl-2 and Pro-caspase3 and increase the expression of Bax. These results demonstrate that AGC can effectively induce programmed cell death and may be a promising anti-tumor drug in human gastric carcinoma.
Wang Limin,Zhang Li,Han Xuming,Ji Qiang,Mu Guangyu,Liu Ying 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.6
Traditional affinity propagation algorithm has inefficient results when conducting clustering analysis of high dimensional data because "dimension effect" lead to difficult find the proper class structure .In view of this, the author proposes an improved algorithm on the basis of Entropy Weight Method and Principal Component Analysis (EWPCA-AP). EWPCA-AP algorithm empowers the sample data by Entropy Weight Method, eliminate data irrelevant attributes by Principal Component Analysis, and travel with neighbor clustering algorithm, realization of high-dimensional data clustering in low dimension space. The numerical result of simulation experiment shows that the new EWPCA-AP algorithm can effectively eliminate the redundancy and irrelevant attributes of data and improve the performance of clustering. In addition, the proposed algorithm is applied in the area of the economy in our country and the clustering result is consistent with the real one. This algorithm provides a new intelligent evaluation method for Chinese economy.
An Intelligent MAC Protocol Selection Method based on Machine Learning in Wireless Sensor Networks
( Mu Qiao ),( Haitao Zhao ),( Shengchun Huang ),( Li Zhou ),( Shan Wang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11
Wireless sensor network has been widely used in Internet of Things (IoT) applications to support large and dense networks. As sensor nodes are usually tiny and provided with limited hardware resources, the existing multiple access methods, which involve high computational complexity to preserve the protocol performance, is not available under such a scenario. In this paper, we propose an intelligent Medium Access Control (MAC) protocol selection scheme based on machine learning in wireless sensor networks. We jointly consider the impact of inherent behavior and external environments to deal with the application limitation problem of the single type MAC protocol. This scheme can benefit from the combination of the competitive protocols and non-competitive protocols, and help the network nodes to select the MAC protocol that best suits the current network condition. Extensive simulation results validate our work, and it also proven that the accuracy of the proposed MAC protocol selection strategy is higher than the existing work.
Li-Jing Zhong,Ming-Wang Zhang,Yong-Fang Yao,Qing-Yong Ni,Jun Mu,Chong-Qing Li,Huai-Liang Xu 한국유전학회 2013 Genes & Genomics Vol.35 No.2
Tibetan macaque (Macaca thibetana), an endangered species endemic to China, is categorized as a Category II species under the Chinese Wild Animal Protection Law and listed in Appendix II of the Convention on International Trade in Endangered Species. To further assess genetic diversity and population structure within this species,populations, revealing that variations occured among populations mainly. Further analysis demonstrated that significant genetic differentiation (Fst = 0.83628, P\0.01) and poor gene flow (Nm\1) had occurred among these four populations. On the phylogenetic tree and haplotype network plot, 22 haplotypes cluster together according to their geographical origins, exhibiting an obvious phylogeographic pattern. We speculate that the significant genetic differentiation among these macaque populations might result from long-term geographic barrier and human activity. In particular,Yangtze River probably play a vital role in population differentiation of Tibetan macaques. we sequenced 477 bp of mitochondrial DNA control region in 30 Tibetan macaques from the Guizhou (GZ) and Yunnan (YN) of China and conducted population genetic analysis, along with 15 previously described haplotype sequences representing 55 individuals from Sichuan (SC)and Anhui (AH). 87 polymorphic sites were detected in the alignment of 45 sequences and defined 22 haplotypes, of which 9 were newly identified. Haplotype diversity (h),nucleotide diversity (p) and average number of nucleotide differences (K) is 0.911 ± 0.015, 0.06090 ± 0.00126 and 28.32, respectively, indicating higher genetic diversity in the whole Tibetan macaque population. Analysis of molecular variance (AMOVA) partitioned the total variation into 83.63 % among populations and 16.37 % within populations, revealing that variations occured among populationsmainly. Further analysis demonstrated that significantgenetic differentiation (Fst = 0.83628, P\0.01) andpoor gene flow (Nm\1) had occurred among these fourpopulations. On the phylogenetic tree and haplotype networkplot, 22 haplotypes cluster together according to their geographicalorigins, exhibiting an obvious phylogeographicpattern. We speculate that the significant genetic differentiationamong these macaque populations might result fromlong-term geographic barrier and human activity. In particular,Yangtze River probably play a vital role in populationdifferentiation of Tibetan macaques.