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RISS 인기검색어
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- 저자 : Ru-Xu You (검색결과 4 건)
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Xiu Mei Dai,Ru Hong Xu,Jun Lu,Fang Li,Jia Na Li,You Rong Chai 한국유전학회 2008 Genes & Genomics Vol.30 No.5
In the introgression of the distinguished powdery mildew resistance from Haynaldia villosa to wheat, a focus task is to develop applicable molecular markers for tracing alien genetic substances and breeding selection. In an attempt to breed wheat breeding lines combining powdery mildew resistance of wheat stock 010714 conferred by alien 6V chromosome from H. villosa with thermo- photo-sensitive genic male sterility (TGMS) from wheat line C050S, a molecular marker RM874 was identified in PCR amplification using RAPD primer S2018. Batched sequencing indicated that the band contained large amounts of equal-length homologues amplified from Ty3-gypsy retrotransposon-like repetitive regions. Based on comparative cloning and bioinformatic analysis, it was converted into a more reproducible sequence characterized amplified region (SCAR) marker SM142. In wheat genetic background, the marker is 6V-specific and linked to powdery mildew resistance. The linkage of the marker is further verified in F5 generation. The approach of transforming repetitive regions-derived RAPD band into a specific SCAR marker can be referred for SCAR marker development of other genes. GISH (Genome in situ hybridization) analysis of 010714 and F7 translocation lines indicated that the resistance gene is conferred by the short arm of 6V.
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Identification of flutter derivatives of bridge decks using stochastic search technique
Ai-Rong Chen,Fu-You Xu,Ru-Jin Ma 한국풍공학회 2006 Wind and Structures, An International Journal (WAS Vol.9 No.6
A more applicable optimization model for extracting flutter derivatives of bridge decks is presented, which is suitable for time-varying weights for fitting errors and different lengths of vertical bending and torsional free vibration data. A stochastic search technique for searching the optimal solution of optimization problem is developed, which is more convenient in understanding and programming than the alternate iteration technique, and testified to be a valid and efficient method using two numerical examples. On the basis of the section model test of Sutong Bridge deck, the flutter derivatives are extracted by the stochastic search technique, and compared with the identification results using the modified least-square method. The Empirical Mode Decomposition method is employed to eliminate noise, trends and zero excursion of the collected free vibration data of vertical bending and torsional motion, by which the identification precision of flutter derivatives is improved.
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Identification of flutter derivatives of bridge decks using stochastic search technique
Chen, Ai-Rong,Xu, Fu-You,Ma, Ru-Jin Techno-Press 2006 Wind and Structures, An International Journal (WAS Vol.9 No.6
A more applicable optimization model for extracting flutter derivatives of bridge decks is presented, which is suitable for time-varying weights for fitting errors and different lengths of vertical bending and torsional free vibration data. A stochastic search technique for searching the optimal solution of optimization problem is developed, which is more convenient in understanding and programming than the alternate iteration technique, and testified to be a valid and efficient method using two numerical examples. On the basis of the section model test of Sutong Bridge deck, the flutter derivatives are extracted by the stochastic search technique, and compared with the identification results using the modified least-square method. The Empirical Mode Decomposition method is employed to eliminate noise, trends and zero excursion of the collected free vibration data of vertical bending and torsional motion, by which the identification precision of flutter derivatives is improved.
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Jin-Yu Liu,Yu Zhang,Ru-Xu You,Fang Zeng,Dan Guo,Kai-Ping Wang 한국식품영양과학회 2012 Journal of medicinal food Vol.15 No.10
A novel polysaccharide named Angelica sinensis polysaccharide (ASP) was obtained from the powdered and defatted roots of A. sinensis (Oliv.) Diels. The molecular weight of ASP was determined to be 78 kDa and was 95.0% sugars consisting of mostly arabinose, glucose, and galactose with a molar ratio of 1:5.68:3.91. A previous study indicated that ASP may increase plasma iron levels by suppressing the expression of hepcidin, a negative regulator of body iron metabolism, in the liver. The present study aims to clarify the inhibitory effect of ASP on hepcidin expression in rat models of iron deficiency anemia (IDA), and clarify the mechanisms involved. It was demonstrated that ASP significantly reduced hepcidin expression by inhibiting the expression of mothers against decapentaplegic protein 4 (SMAD4) in liver and stimulating the secretion of erythropoietin, which further downregulated hepcidin by repressing CCAAT/enhancer-binding protein α (C/EBPα) and the phosphorylation of signal transducer and activator of transcription 3/5. The results indicate that ASP can suppress the expression of hepcidin in rats with IDA, and may be useful for the treatment of IDA
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