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Poly[[diaqua(μ-4,4′-bipyridine N,N′-dioxide-κ2O:O′)(μ-terephthalato-κ2O1:O4)cobalt(II)] 4,4′-bipyridine N,N′-dioxide monosolvate]
Xin Ge,Shu-Yan Song
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812040056
Abstract: In the title compound, {[Co(C8H4O4)(C10H8N2O2)(H2O)2]·C10H8N2O2}n, the CoII atom, lying on an inversion center, is hexacoordinated in a distorted octahedral geometry defined by two O atoms from two terephthalate (tp) ligands, two O atoms from two 4,4′-bipyridine N,N′-dioxide (bpydo) ligands and two water molecules. The coordinated tp and bpydo ligands and uncoordinated bpydo molecule all have an inversion center. The CoII atoms are connected by the tp and bpydo ligands into a layer parallel to (111). In the crystal, O—H...O hydrogen bonds link the uncoordinated bpydo molecules and the layers into a three-dimensional supramolecular structure. Intralayer O—H...O hydrogen bonds and π–π interactions [centroid-to-centroid distances = 3.6643 (13) and 3.8048 (13) ] are also observed.
LA CRéATION ROMANESQUE DE MONTHERLANT
Shu-yan WANG
Studies in Literature and Language , 2010,
Abstract: Dans ce texte, nous nous proposons de présenter de fa on plus ou moins exhaustive les romans de Montherlant, écrivain fran ais, selon les années d’édition tout en échelonnant les différents ages importants de sa vie. Nous attachons de l’importance au contenu idéologique de sa création, car dans chaque livre il nous donne une le on de morale. Nous mettons en lumière également le caractère autobiographique de sa production surtout à travers l’identification des personnages principaux à l’auteur lui-même. Mots clés: Montherlant; roman; autobiographie; morale; humanité
The Linguistic Attitudes towards Cantonese: the Case of the Hubei Migrants
Shu-yan WANG
Canadian Social Science , 2009,
Abstract: the present text permit of studying the role which can play the linguistic attitudes of Hubei migrants in studying Cantonese, local language, lingua franca in regional scale, constituting one of the linguistic capital and in concurrent distribution and/or supplementary with Putonghua, the prestige being well linked to the native speaker status, it depending on their situation socio-economic. Key words: linguistic attitudes; Cantonese; Hubei migrants; Canton Résumé: Le présent texte se permet d’étudier le r le que peuvent jouer les attitudes linguistiques des migrants du Hubei dans l’apprentissage du cantonais, langue à caractère local, langue véhiculaire à l’ échelle régionale, constituant un des capitaux linguistiques et en distribution concurrente et/ou complémentaire avec le putonghua, le prestige en étant bien lié au statut de ses locuteurs natifs, lui-même dépendant de leur situation socio-économique. Mots-Clés: attitudes linguistiques; cantonais; migrants du Hubei; Canton
Language Attitudes Towards the Hubei Dialect: The Case of Hubei Migrants in Canton
Shu-yan WANG
Canadian Social Science , 2010,
Abstract: In this paper, after describing the organization of linguistic repertoire and linguistic practices of migrants from Hubei, living and / or working in Canton, we try to find out the reason why they are true or not to their original language who assumes notably a vernacular function and has a very limited social profitability in linguistic market. Keywords: language attitudes; Hubei dialect; migrants from Hubei; Canton Résumé: Dans ce texte, après avoir décrit l’organisation du répertoire linguistique et les pratiques linguistiques des migrants du Hubei, vivant et/ou travaillant à Canton, on pose la question de savoir pour quelles raisons ils sont fidèles ou non à leur langue d’origine qui assure notamment une fonction vernaculaire et possède une rentabilité sociale très limitée sur le marché linguistique. Mots-clés: attitudes linguistiques; dialecte du Hubei; migrants du Hubei; Canton
Advances in in vitro Culture of Cucurbitaceae in China
我国葫芦科植物离体培养研究进展

SONG Li-Ying TAN Zheng GAO Feng DENG Shu-Yan,
宋莉英
,谭诤,高峰,邓暑燕

植物学报 , 2004,
Abstract: Abstract Many melon vegetables are included in Cucurbitaceae, and in vitro culture of Cucurbitaceae is very important. This paper reviewed recent research progress on tissue culture,somatic embryogenesis, anther culture, protoplast culture and somatic hybridization, as well as genetic transformation of Cucurbitaceae in China. The prospects of in vitro culture, genetic transformation and breeding of these plants were predicted.
Adaptive genetic algorithm optimized WNN approach for analog circuit soft fault diagnosis
自适应GA优化WNN的模拟电路软故障诊断方法*

XIE Chun,SONG Guo-ming,JIANG Shu-yan,WANG Hou-jun,
谢春
,宋国明,姜书艳,王厚军

计算机应用研究 , 2012,
Abstract: In analog circuit fault diagnosis system using wavelet neural networks (WNN), the prevalent algorithm, gradient descent algorithm, is prone to make WNN converge to the local minimum in training phase. Additionally, the structure redundancy of network may lead to training convergence direction deviating from globally optimal point so that the network gegenerality will be degraded and diagnosis inaccuracy increased.This paper proposed the adaptive genetic algorithm for optimizing WNN to avoid the limitation above. This approach could achieve simplified structure and optimized parameters for WNN, which obtained satisfactory effects in soft fault identification for filter circuit. The presented method gained better diagnosis efficiency and accuracy in comparison with conventional WNN approach.
Analog circuit fault identification approach based on wavelet analysis and hierarchical decision
基于小波分析和分层决策的模拟电路故障识别方法

SONG Guo-ming,WANG Hou-jun,JIANG Shu-yan,LIU Hong,
宋国明
,王厚军,姜书艳,刘红

计算机应用研究 , 2010,
Abstract: Aiming at overlapped recognition on analog circuit fault diagnosis with large number of fault categories, this paper presented a fault identification approach based on wavelet analysis and hierarchical decision. Firstly, extracted two types of fault features of circuit under test by using wavelet transform. Then processed clustering analysis for fault feature data sets by fuzzy C-mean algorithm, which separated fault sub-classes in form of decision tree. Partitioned the fault sub-classes maximally by optimizing the feature selection on each tree node. Finally, constructed a hierarchical fault decision system by combining multiple classifiers according to the structure of decision tree. Chose support vector machines and neural networks as classifiers for tree nodes to validate the proposed method and improved the fault identification accuracy effectively. The experimental results on a high-pass filter are higher than 99%, which is better than classical support vector machine methods.
The Complete Mitochondrial Genome of Galba pervia (Gastropoda: Mollusca), an Intermediate Host Snail of Fasciola spp
Guo-Hua Liu, Shu-Yan Wang, Wei-Yi Huang, Guang-Hui Zhao, Shu-Jun Wei, Hui-Qun Song, Min-Jun Xu, Rui-Qing Lin, Dong-Hui Zhou, Xing-Quan Zhu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0042172
Abstract: Complete mitochondrial (mt) genomes and the gene rearrangements are increasingly used as molecular markers for investigating phylogenetic relationships. Contributing to the complete mt genomes of Gastropoda, especially Pulmonata, we determined the mt genome of the freshwater snail Galba pervia, which is an important intermediate host for Fasciola spp. in China. The complete mt genome of G. pervia is 13,768 bp in length. Its genome is circular, and consists of 37 genes, including 13 genes for proteins, 2 genes for rRNA, 22 genes for tRNA. The mt gene order of G. pervia showed novel arrangement (tRNA-His, tRNA-Gly and tRNA-Tyr change positions and directions) when compared with mt genomes of Pulmonata species sequenced to date, indicating divergence among different species within the Pulmonata. A total of 3655 amino acids were deduced to encode 13 protein genes. The most frequently used amino acid is Leu (15.05%), followed by Phe (11.24%), Ser (10.76%) and IIe (8.346%). Phylogenetic analyses using the concatenated amino acid sequences of the 13 protein-coding genes, with three different computational algorithms (maximum parsimony, maximum likelihood and Bayesian analysis), all revealed that the families Lymnaeidae and Planorbidae are closely related two snail families, consistent with previous classifications based on morphological and molecular studies. The complete mt genome sequence of G. pervia showed a novel gene arrangement and it represents the first sequenced high quality mt genome of the family Lymnaeidae. These novel mtDNA data provide additional genetic markers for studying the epidemiology, population genetics and phylogeographics of freshwater snails, as well as for understanding interplay between the intermediate snail hosts and the intra-mollusca stages of Fasciola spp..
Refinements of Generalized Aczél's Inequality and Bellman's Inequality and Their Applications
Jing-Feng Tian,Shu-Yan Wang
Journal of Applied Mathematics , 2013, DOI: 10.1155/2013/645263
Abstract:
Particle Swarm Optimization-Proximal Point Algorithm for Nonlinear Complementarity Problems
Chai Jun-Feng,Wang Shu-Yan
Mathematical Problems in Engineering , 2013, DOI: 10.1155/2013/808965
Abstract: A new algorithm is presented for solving the nonlinear complementarity problem by combining the particle swarm and proximal point algorithm, which is called the particle swarm optimization-proximal point algorithm. The algorithm mainly transforms nonlinear complementarity problems into unconstrained optimization problems of smooth functions using the maximum entropy function and then optimizes the problem using the proximal point algorithm as the outer algorithm and particle swarm algorithm as the inner algorithm. The numerical results show that the algorithm has a fast convergence speed and good numerical stability, so it is an effective algorithm for solving nonlinear complementarity problems. 1. Introduction The nonlinear complementarity problem is an important class of nonsmooth optimization problems and is widely used in mechanical, engineering, and economic fields. The algorithm research has attracted great attention from scholars at home and abroad. Algorithms for solving such problems mainly include the Lemke algorithm, homotopy method, projection algorithm, Newton algorithm, and interior point algorithm [1–10]. These algorithms were mostly based on the gradient method and relied on the selection of an initial point. How to select the appropriate initial point is a very difficult problem; therefore, in recent years, many scholars at home and abroad have been dedicated to the bionic intelligent algorithm not depending on the initial point and the gradient information. In 1995, Kennedy and Eberhart proposed the particle swarm algorithm (PSO) [11] of the predatory behavior of birds for the first time. It was similar to the genetic algorithm, an optimization tool based on iteration; its advantages were being easy to understand, easy to implement, and no need to adjust many parameters, and it was widely recognized by academic circles, who then put forward some improved algorithms. At present, the algorithm has been successfully applied in function optimization, neural network training, fuzzy system control, and so forth. In 2008, Zhang and Zhou [12] proposed a mixed algorithm for solving nonlinear minimax problems by combing the particle swarm optimization algorithm with the maximum entropy function method, and then Zhang extended the method to solve nonlinear L-1 norm minimization problems [13] and nonlinear complementarity problems [14] and achieved good results. But these algorithms were random algorithms depending on the probability essentially, where the entropy function was only playing the role of conversing problems. Sun et al. [15]. proposed
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