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Search Results: 1 - 10 of 162556 matches for " ZHANG Xiang-yu "
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A Review of Image Retrieval Techniques in the Compressed Domain
基于压缩域的图象检索技术研究进展

HUANG Xiang-yu,ZHANG Yu-jin,
黄翔宇
,章毓晋

中国图象图形学报 , 2003,
Abstract: The advent of compression standards, such as JPEG and MPEG, has led to the popularity of the compressed form of image data, and that has brought on the proliferation of image retrieval techniques in the compressed domain. In this paper, we make a comprehensive review and discussions on the compressed domain retrieval techniques proposed in the literature, including the lastest achievements in this field. First, we give the general concepts of the image retrieval technology. Secondly, we analyze different retrieval techniques, including transform domain techniques using Fourier transform, discrete cosine transform, subbands and wavelets, and spatial domain techniques using vector quantization and fractals. Thirdly, we discuss and compare these image retrieval techniques and draw some useful conclusions. In addition, an example application of image retrieval in the compressed domain is presented. Finally, we make a discussion on some open problems and point out possible directions for further research.
Kainic Acid-Induced Neurodegenerative Model: Potentials and Limitations
Xiang-Yu Zheng,Hong-Liang Zhang,Qi Luo,Jie Zhu
Journal of Biomedicine and Biotechnology , 2011, DOI: 10.1155/2011/457079
Abstract: Excitotoxicity is considered to be an important mechanism involved in various neurodegenerative diseases in the central nervous system (CNS) such as Alzheimer's disease (AD). However, the mechanism by which excitotoxicity is implicated in neurodegenerative disorders remains unclear. Kainic acid (KA) is an epileptogenic and neuroexcitotoxic agent by acting on specific kainate receptors (KARs) in the CNS. KA has been extensively used as a specific agonist for ionotrophic glutamate receptors (iGluRs), for example, KARs, to mimic glutamate excitotoxicity in neurodegenerative models as well as to distinguish other iGluRs such as α-amino-3-hydroxy-5-methylisoxazole-4-propionate receptors and N-methyl-D-aspartate receptors. Given the current knowledge of excitotoxicity in neurodegeneration, interventions targeted at modulating excitotoxicity are promising in terms of dealing with neurodegenerative disorders. This paper summarizes the up-to-date knowledge of neurodegenerative studies based on KA-induced animal model, with emphasis on its potentials and limitations.
Spectroscopic study of thulium doped transparent glass ceramics

Zhang Xiang-Yu,Zheng Hai-Rong,Gao Dang-Li,

中国物理 B , 2008,
Abstract:
Integrable eight-state supersymmetric $U$ model with boundary terms and its Bethe ansatz solution
Xiang-Yu Ge,Mark D. Gould,Yao-Zhong Zhang,Huan-Qiang Zhou
Physics , 1997, DOI: 10.1016/S0375-9601(97)00959-6
Abstract: A class of integrable boundary terms for the eight-state supersymmtric $U$ model are presented by solving the graded reflection equations. The boundary model is solved by using the coordinate Bethe ansatz method and the Bethe ansatz equations are obtained.
Integrable open-boundary conditions for the $q$-deformed supersymmetric $U$ model of strongly correlated electrons
Anthony J. Bracken,Xiang-Yu Ge,Yao-Zhong Zhang,Huan-Qiang Zhou
Physics , 1997, DOI: 10.1016/S0550-3213(98)00067-4
Abstract: A general graded reflection equation algebra is proposed and the corresponding boundary quantum inverse scattering method is formulated. The formalism is applicable to all boundary lattice systems where an invertible R-matrix exists. As an application, the integrable open-boundary conditions for the $q$-deformed supersymmetric $U$ model of strongly correlated electrons are investigated. The diagonal boundary K-matrices are found and a class of integrable boundary terms are determined. The boundary system is solved by means of the coordinate space Bethe ansatz technique and the Bethe ansatz equations are derived. As a sideline, it is shown that all R-matrices associated with a quantum affine superalgebra enjoy the crossing-unitarity property.
An open-boundary integrable model of three coupled XY spin chains
Anthony J. Bracken,Xiang-Yu Ge,Yao-Zhong Zhang,Huan-Qiang Zhou
Physics , 1997, DOI: 10.1016/S0550-3213(98)00066-2
Abstract: The integrable open-boundary conditions for the model of three coupled one-dimensional XY spin chains are considered in the framework of the quantum inverse scattering method. The diagonal boundary K-matrices are found and a class of integrable boundary terms is determined. The boundary model Hamiltonian is solved by using the coordinate space Bethe ansatz technique and Bethe ansatz equations are derived.
A new tow-parameter integrable model of strongly correlated electrons with quantum superalgebra symmetry
Xiang-Yu Ge,Mark D. Gould,Yao-Zhong Zhang,Huan-Qiang Zhou
Physics , 1997, DOI: 10.1088/0305-4470/31/23/006
Abstract: A new two-parameter integrable model with quantum superalgebra $U_q[gl(3|1)]$ symmetry is proposed, which is an eight-state electron model with correlated single-particle and pair hoppings as well as uncorrelated triple-particle hopping. The model is solved and the Bethe ansatz equations are obtained.
Identifying effective multiple spreaders by coloring complex networks
Xiang-Yu Zhao,Bin Huang,Ming Tang,Hai-Feng Zhang,Duan-Bing Chen
Computer Science , 2014, DOI: 10.1209/0295-5075/108/68005
Abstract: How to identify influential nodes in social networks is of theoretical significance, which relates to how to prevent epidemic spreading or cascading failure, how to accelerate information diffusion, and so on. In this Letter, we make an attempt to find \emph{effective multiple spreaders} in complex networks by generalizing the idea of the coloring problem in graph theory to complex networks. In our method, each node in a network is colored by one kind of color and nodes with the same color are sorted into an independent set. Then, for a given centrality index, the nodes with the highest centrality in an independent set are chosen as multiple spreaders. Comparing this approach with the traditional method, in which nodes with the highest centrality from the \emph{entire} network perspective are chosen, we find that our method is more effective in accelerating the spreading process and maximizing the spreading coverage than the traditional method, no matter in network models or in real social networks. Meanwhile, the low computational complexity of the coloring algorithm guarantees the potential applications of our method.
Antidiabetic effects of Tangnaikang on obese Zucker rats and the mechanism
Xiang-yu GUO
Zhong Xi Yi Jie He Xue Bao , 2010,
Abstract: Objective: To observe the effects of Tangnaikang (TNK), a compound traditional Chinese herbal medicine, on glucose metabolism and insulin resistance in obese Zucker rats. Methods: Twelve male obese Zucker rats, 6 weeks old, were randomly divided into control group and TNK group (3.24 g/kg) after being fed for 2 weeks. All rats received high-fat diet and 4-week treatment. Body weight and blood glucose were tested every week. Oral glucose tolerance test (OGTT) was performed and fasting insulin level was tested on days 0, 14 and 28. Triglyceride, cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and free fatty acids (FFA) were tested on day 28. Glucose infusion rate (GIR) was tested by hyperinsulinemic-euglycemic clamp from day 29. The protein expressions of protein kinase B (Akt), phospho-Akt (p-Akt) (Thr308) and glucose transporter protein 4 (GLUT4) in skeletal muscle and GLUT4 in adipose tissue were measured after hyperinsulinemic-euglycemic clamp test.Results: Compared with the control group, the fed blood glucose level and glucose level of OGTT at 120 min had a significant decline in TNK group on day 28, and TNK caused no alteration of the fasting serum insulin, and the GIR increased significantly in hyperinsulinemic-euglycemic clamp study. Furthermore, TNK increased Akt and p-Akt (Thr308) protein expressions in skeletal muscle and decreased the protein expression of GLUT4 in white adipose tissue. Body weight, and triglyceride, cholesterol, LDL-C and FFA contents were slightly decreased in the TNK group, but there were no statistically significant effects.Conclusion: TNK increases the protein expressions of Akt and p-Akt (Thr308) of the signal transduction pathway to influence the translocation of GLUT4 in skeletal muscle and improves glucose metabolism by reducing insulin resistance.
Integrable one-dimensional supersymmetric q-deformed extended Hubbard model with boundary Kondo impurity
Xiang-Yu Ge
Physics , 1999,
Abstract: This paper has been withdrawn by the author, due to an error in relation (11).
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