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Search Results: 1 - 10 of 44324 matches for " XU Biao "
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Baculovirus Mediated Experimental Research on Targeted Egr1-Kringle 5 Gene Radiotherapy in Lung Adenocarcinoma  [PDF]
Haoping Xu, Rui Guo, Biao Li
Journal of Cancer Therapy (JCT) , 2012, DOI: 10.4236/jct.2012.324052
Abstract: Objective: To investigate the feasibility of temporally and spatially restricted Kringle5 expression induced by radiation, as well as the dual effect of radiotherapy and antiangiogenic therapy in lung adenocarcinoma in vitro. Methods: We first constructed recombinant baculovirus vectors containing Egr1 promoter and human plasminogen Kringle5 gene (rhK5), then transfected them into lung adenocarcinoma cells (A549). Transfect efficiency of the baculovirus for gene transfer in A549 cells and the activity of Egr1 promoter induced by X-radiation were detected by fluorescence microscopy. The rhK5 mRNA transcription and rhK5 protein expression were detected by Real-time PCR and Western blot assay, respectively. The apoptosis asssay of human umbilical veins endothelial cells (HUVEC) was analyzed by flow cytometry. Results: The recombinant baculovirus were successfully transfected into A549 and HUVEC cells. As for the temporal regulation, the rhK5 mRNA transcription and rhK5 protein expression were elevated with the irradiation time significantly. And the HUVEC apoptotic percentage increased in relation to the irradiation time as well. As for the spatial regulation, rhK5 mRNA transcription level of A549 cell lines transfected with recombinant baculovirus Egr1-K5 was significantly higher than that of control groups after the same dose of X-radiation. When we analyzed the dose and frequency of X-radiation, no difference was observed among each dose after continuously three-times of irradiation. Conclusion: Baculovirus-mediated Egr1-K5 can be used in gene radiotherapy for its temporary and spatial controllable rhK5 expression by X-radiation and the consequent HUVEC apoptosis in vitro study. And low dose and more times of irradiation might be more effective. It would provide a promising way for the tumor treatment.
Specification Language NUJSL Based on JSP and Its Supporting System
Xu Yongsen,He Biao
计算机科学技术学报 , 1992,
Abstract:
The Profound Spinor Combination of Space-time-matter
Lun Biao Xu
Physics , 2010,
Abstract: Following the famous Dirac equation, in which space, time and matter are all connected with spinor, this paper uses the combination of these spinors to express the state of quantum field in a new style - the global state. Thus, the state, state equation and action function of quantum fields are all expressed in an integrated system. Based upon this, it seems that the origin of the principle of least action, the intrinsic connection between classical mechanics and quantum theory can be fully exposed.
The Sufficiency Principle for Decentralized Data Reduction
Ge Xu,Biao Chen
Mathematics , 2012,
Abstract: This paper develops the sufficiency principle suitable for data reduction in decentralized inference systems. Both parallel and tandem networks are studied and we focus on the cases where observations at decentralized nodes are conditionally dependent. For a parallel network, through the introduction of a hidden variable that induces conditional independence among the observations, the locally sufficient statistics, defined with respect to the hidden variable, are shown to be globally sufficient for the parameter of inference interest. For a tandem network, the notion of conditional sufficiency is introduced and the related theories and tools are developed. Finally, connections between the sufficiency principle and some distributed source coding problems are explored.
Clinical significance of stanniocalcin-1 detected in peripheral blood and bone marrow of esophageal squamous cell carcinoma patients
Haizhu Song, Biao Xu, Jun Yi
Journal of Experimental & Clinical Cancer Research , 2012, DOI: 10.1186/1756-9966-31-35
Abstract: A total of 85 ESCC patients treated with radical resection were enrolled in this study. Immunohistochemistry was used to detect STC-1 protein expression in ESCC tissues. Nested RT-PCR was used to detect STC-1 mRNA expression in PB and BM.There were 71 cases (83.5%) showed a higher level of STC-1 protein expression in tumor tissues than in adjacent normal tissues (P?<?0.001). Furthermore, the frequencies of STC-1 mRNA expression detected in PB and BM were 37.6% (32/85) and 21.2% (18/85), respectively, and together increased sensitivity to 48.2% (41/85), which was much higher than that in patients with benign esophageal disease (5.0%, 2/40, P?<?0.001). In addition, STC-1 mRNA expression either in PB or BM was correlated with lymph metastasis, advanced stage and adverse 2-year progression free survival (PFS). In a multivariate analysis using the Cox proportional hazard model, STC-1 expression in PB and/or BM was an independent unfavorable prognostic factor for ESCC, apart from lymph metastasis and clinical stage.STC-1 mRNA expression is a reliable marker for detection of DTCs in PB and BM of ESCC patients, and STC-1-positive DTCs may be a promising tool for diagnosis and prognosis assessment in ESCC.
Bright solitons in spin-orbit-coupled Bose-Einstein condensates
Yong Xu,Yongping Zhang,Biao Wu
Physics , 2012, DOI: 10.1103/PhysRevA.87.013614
Abstract: We study bright solitons in a Bose-Einstein condensate with a spin-orbit coupling that has been realized experimentally. Both stationary bright solitons and moving bright solitons are found. The stationary bright solitons are the ground states and possess well-defined spin-parity, a symmetry involving both spatial and spin degrees of freedom; these solitons are real valued but not positive definite, and the number of their nodes depends on the strength of spin-orbit coupling. For the moving bright solitons, their shapes are found to change with velocity due to the lack of Galilean invariance in the system.
Capacity Bounds for Broadcast Channels with Confidential Messages
Jin Xu,Yi Cao,Biao Chen
Mathematics , 2008,
Abstract: In this paper, we study capacity bounds for discrete memoryless broadcast channels with confidential messages. Two private messages as well as a common message are transmitted; the common message is to be decoded by both receivers, while each private message is only for its intended receiver. In addition, each private message is to be kept secret from the unintended receiver where secrecy is measured by equivocation. We propose both inner and outer bounds to the rate equivocation region for broadcast channels with confidential messages. The proposed inner bound generalizes Csisz\'{a}r and K\"{o}rner's rate equivocation region for broadcast channels with a single confidential message, Liu {\em et al}'s achievable rate region for broadcast channels with perfect secrecy, Marton's and Gel'fand and Pinsker's achievable rate region for general broadcast channels. Our proposed outer bounds, together with the inner bound, helps establish the rate equivocation region of several classes of discrete memoryless broadcast channels with confidential messages, including less noisy, deterministic, and semi-deterministic channels. Furthermore, specializing to the general broadcast channel by removing the confidentiality constraint, our proposed outer bounds reduce to new capacity outer bounds for the discrete memory broadcast channel.
The Common Information of N Dependent Random Variables
Wei Liu,Ge Xu,Biao Chen
Mathematics , 2010,
Abstract: This paper generalizes Wyner's definition of common information of a pair of random variables to that of $N$ random variables. We prove coding theorems that show the same operational meanings for the common information of two random variables generalize to that of $N$ random variables. As a byproduct of our proof, we show that the Gray-Wyner source coding network can be generalized to $N$ source squences with $N$ decoders. We also establish a monotone property of Wyner's common information which is in contrast to other notions of the common information, specifically Shannon's mutual information and G\'{a}cs and K\"{o}rner's common randomness. Examples about the computation of Wyner's common information of $N$ random variables are also given.
Wyner's Common Information: Generalizations and A New Lossy Source Coding Interpretation
Ge Xu,Wei Liu,Biao Chen
Mathematics , 2013,
Abstract: Wyner's common information was originally defined for a pair of dependent discrete random variables. Its significance is largely reflected in, hence also confined to, several existing interpretations in various source coding problems. This paper attempts to both generalize its definition and to expand its practical significance by providing a new operational interpretation. The generalization is two-folded: the number of dependent variables can be arbitrary, so are the alphabet of those random variables. New properties are determined for the generalized Wyner's common information of N dependent variables. More importantly, a lossy source coding interpretation of Wyner's common information is developed using the Gray-Wyner network. In particular, it is established that the common information equals to the smallest common message rate when the total rate is arbitrarily close to the rate distortion function with joint decoding. A surprising observation is that such equality holds independent of the values of distortion constraints as long as the distortions are within some distortion region. Examples about the computation of common information are given, including that of a pair of dependent Gaussian random variables.
Decentralized Data Reduction with Quantization Constraints
Ge Xu,Shengyu Zhu,Biao Chen
Computer Science , 2013, DOI: 10.1109/TSP.2014.2303432
Abstract: A guiding principle for data reduction in statistical inference is the sufficiency principle. This paper extends the classical sufficiency principle to decentralized inference, i.e., data reduction needs to be achieved in a decentralized manner. We examine the notions of local and global sufficient statistics and the relationship between the two for decentralized inference under different observation models. We then consider the impacts of quantization on decentralized data reduction which is often needed when communications among sensors are subject to finite capacity constraints. The central question we intend to ask is: if each node in a decentralized inference system has to summarize its data using a finite number of bits, is it still optimal to implement data reduction using global sufficient statistics prior to quantization? We show that the answer is negative using a simple example and proceed to identify conditions under which sufficiency based data reduction followed by quantization is indeed optimal. They include the well known case when the data at decentralized nodes are conditionally independent as well as a class of problems with conditionally dependent observations that admit conditional independence structure through the introduction of an appropriately chosen hidden variable.
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