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Search Results: 1 - 10 of 120379 matches for " Wang Yufeng "
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On Schwarz-type boundary-value problems of polyanalytic equation on a triangle
Yufeng Wang,Yanjin Wang
Annales Universitatis Paedagogicae Cracoviensis. Studia Mathematica , 2010,
Abstract: We will consider the Schwarz-type boundary-value problems (BVPs) of the polyanalytic equation on an isosceles orthogonal triangle. In contrast to [1], the expression of its unique solution are explicitly obtained by the different decomposition of polyanalytic functions.
Infection of Wolbachia may improve the olfactory response of Drosophila
Yu Peng,YuFeng Wang
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0183-6
Abstract: The endosymbiotic bacterium Wolbachia infects various insects and is primarily known for its ability to manipulate host reproduction. Recent investigations reveal that Wolbachia also affects the activity of somatic cells. We here demonstrated by trap method and T-maze that Wolbachia infection had significant impact on the olfactory response of Drosophila simulans. Wolbachia-infected flies took shorter time to enter the food trap and were more sensitive to odorant in T-maze than those uninfected controls. The time of olfactory response was relative to Wolbachia density in flies. Wolbachia density in 15-day-old flies that were caught in a shorter time (less than 60 min) by food trap was significantly higher than those taken in a longer time (more than 100 min). Quantitative RT-PCR showed that the transcript of an important odorant receptor gene or83b in flies with fast olfactory response was significantly more than those with slow olfactory response. These results suggest that Wolbachia might increase olfactory response of flies by regulating the expression of olfaction-related genes in hosts.
Symmetrical Solutions of Backward Stochastic Volterra Integral Equations and Their Applications
Tianxiao Wang,Yufeng Shi
Mathematics , 2009,
Abstract: Backward stochastic Volterra integral equations (BSVIEs in short) are studied. We introduce the notion of adapted symmetrical solutions (S-solutions in short), which are different from the M-solutions introduced by Yong [17]. We also give some new results for them. At last a class of dynamic coherent risk measures were derived via certain BSVIEs.
Solvability of general backward stochastic Volterra integral equation with non-Lipschitz coefficients
Tianxiao Wang,Yufeng Shi
Mathematics , 2010,
Abstract: In this paper we study the unique solvability of backward stochastic Volterra integral equations (BSVIEs in short), in terms of both the M-solutions introduced in [17] and the adapted solutions in [6], [12] or [14]. A general existence and uniqueness of M-solutions is proved under non-Lipschitz conditions by virtue of a briefer argument than the one in [17], which also extends the results in [17]. For the adapted solutions, the unique solvability of BSVIEs, under more general stochastic non-Lipschitz conditions, is obtained which generalizes the results in [6], [12] and [14].
Zero-sum linear quadratic stochastic integral games and BSVIEs
Tianxiao Wang,Yufeng Shi
Mathematics , 2010,
Abstract: This paper formulates and studies a linear quadratic (LQ for short) game problem governed by linear stochastic Volterra integral equation. Sufficient and necessary condition of the existence of saddle points for this problem are derived. As a consequence we solve the problems left by Chen and Yong in [3]. Firstly, in our framework, the term GX^2(T) is allowed to be appear in the cost functional and the coefficients are allowed to be random. Secondly we study the unique solvability for certain coupled forward-backward stochastic Volterra integral equations (FBSVIEs for short) involved in this game problem. To characterize the condition aforementioned explicitly, some other useful tools, such as backward stochastic Fredholm-Volterra integral equations (BSFVIEs for short) and stochastic Fredholm integral equations (FSVIEs for short) are introduced. Some relations between them are investigated. As a application, a linear quadratic stochastic differential game with finite delay in the state variable and control variables is studied.
A maximum principle for forward-backward stochastic Volterra integral equations and applications in finance
Tianxiao Wang,Yufeng Shi
Quantitative Finance , 2010,
Abstract: This paper formulates and studies a stochastic maximum principle for forward-backward stochastic Volterra integral equations (FBSVIEs in short), while the control area is assumed to be convex. Then a linear quadratic (LQ in short) problem for backward stochastic Volterra integral equations (BSVIEs in short) is present to illustrate the aforementioned optimal control problem. Motivated by the technical skills in solving above problem, a more convenient and briefer method for the unique solvability of M-solution for BSVIEs is proposed. At last, we will investigate a risk minimization problem by means of the maximum principle for FBSVIEs. Closed-form optimal portfolio is obtained in some special cases.
Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro-Grid  [PDF]
Ying Zhang, Yufeng Gong, Junyu Chen, Jing Wang
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24038
Abstract: Distributed generation has attracted great attention in recent years, thanks to the progress in new-generation technologies and advanced power electronics. And micro-grid can make full use of distributed generation, so it has been widespread concern. On the other hand due to the extensive use of power electronic devices and many of the loads within micro-grid are nonlinear in nature, Micro-grid generate a large number of harmonics, so harmonics pollution needs to be addressed. Usually we use passive filter to filter out harmonic, in this paper, we propose a new method to optimize the filter parameters, so passive filter can filter out harmonic better. This method utilizes immune particle swarm optimization algorithm to optimize filter parameters. It can be shown from the simulation results that the proposed method is effective for micro-grid voltage harmonics compensation.
Infection of Wolbachia may improve the olfactory response of Drosophila

Yu Peng,YuFeng Wang,

科学通报(英文版) , 2009,
Product Maintainability Design Method and Support Tool Based on Feature Model  [PDF]
Yufeng DING
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.23024
Abstract: Maintainability is an important character which is given by product design process. The maintainability design criteria and measure index used in product maintainability analysis are summarized and discussed in this paper. A product maintainability design method is studied by integrating the product feature model, maintainability design criteria with measure index. Product feature model can be built on the basis of the product feature library quickly. Product feature library for steam turbine design is created by using SolidWorks design library origination structure. A methodology which supports the design and development of product maintainability design support tool (PMDSTs) is put forward. The function of PMDSTs is designed by using UML (Unified Modeling Language) use case diagram, it is developed by using VC++ 6.0. The maintainability analysis application case of steam turbine-generator system is given at last.
Analysis of Incentive Effects of Government R & D Investment on Technology Transaction  [PDF]
Yufeng Zhong
Modern Economy (ME) , 2017, DOI: 10.4236/me.2017.81006
Abstract: With panel data of 25 provinces from 2009 to 2014 and the internal expenditure of R & D derived from the government as the measure of the government’s R & D input in the region, the fixed effect model is adopted to analyze the influence of the government R & D investment on technology transaction. Empirical results show that technology transaction will be promoted significantly with the increase of government R & D investment. Therefore, the technology transaction can be effectively stimulated by adding the R & D investment from government to make more technological innovation achieve the transfer and commercialization.
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