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Search Results: 1 - 10 of 6583 matches for " Jinxuan Hou "
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Gene therapy with tumor-specific promoter mediated suicide gene plus IL-12 gene enhanced tumor inhibition and prolonged host survival in a murine model of Lewis lung carcinoma
Yu Xu, Jinxuan Hou, Zhengchun Liu, Haijun Yu, Wenjie Sun, Jie Xiong, Zhengkai Liao, Fuxiang Zhou, Conghua Xie, Yunfeng Zhou
Journal of Translational Medicine , 2011, DOI: 10.1186/1479-5876-9-39
Abstract: Combined gene therapy strategy with recombinant adenovirus expressing horseradish peroxidase (HRP) mediated by human telomerase reverse transcriptase (hTERT) promoter (AdhTERTHRP) and murine interleukin-12 (mIL-12) under the control of Cytomegalovirus (CMV) promoter (AdCMVmIL-12) was developed and evaluated against Lewis lung carcinoma (LLC) both in vivo and in vitro. The mechanism of action and systemic toxicities were also investigated.The combination of AdhTERTHRP/indole-3-acetic acid (IAA) treatment and AdCMVmIL-12 resulted in significant tumor growth inhibition and survival improvement compared with AdhTERTHRP/IAA alone (tumor volume, 427.4 ± 48.7 mm3 vs 581.9 ± 46.9 mm3, p = 0.005 on day 15; median overall survival (OS), 51 d vs 33 d) or AdCMVmIL-12 alone (tumor volume, 362.2 ± 33.8 mm3 vs 494.4 ± 70.2 mm3, p = 0.046 on day 12; median OS, 51 d vs 36 d). The combination treatment stimulated more CD4+ and CD8+ T lymphocyte infiltration in tumors, compared with either AdCMVmIL-12 alone (1.3-fold increase for CD4+ T cells and 1.2-fold increase for CD8+ T cells, P < 0.01) or AdhTERTHRP alone (2.1-fold increase for CD4+ T cells and 2.2-fold increase for CD8+ T cells, P < 0.01). The apoptotic cells in combination group were significantly increased in comparison with AdCMVmIL-12 alone group (2.8-fold increase, P < 0.01) or AdhTERTHRP alone group (1.6-fold increase, P < 0.01). No significant systematic toxicities were observed.Combination gene therapy with AdhTERTHRP/IAA and AdCMVmIL-12 could significantly inhibit tumor growth and improve host survival in LLC model, without significant systemic adverse effects.Over the last years, gene therapy has emerged as a promising strategy for cancer treatment [1]. However, some limitations are associated with its clinical application, the reduced specificity to deliver functional therapeutic genes into tumor cells being the major one [2]. Therefore, research in gene therapy has been focused on the development of targeting strate
Numerical Simulation of Freak Wave Generation in Irregular Wave Train  [PDF]
Lei Wang, Jinxuan Li, Shuxue Li
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.38129
Abstract: In this paper, a numerical wave tank is developed based on High Order Spectral (HOS) method considering the wave-maker boundary. The 2D irregular wave trains are simulated for a long time by using this model. The freak wave is observed in the wave train, and its generation process is analyzed via wavelet analysis. The results show that the numerical tank can accurately simulate the wave generation and propagation, even for the freak wave. From the analysis of freak wave generation, it can be found that, two wave groups with different frequency components superpose together to form a large wave group. The large wave group modulation generates the freak wave.
Inhibition of phosphorylated c-Met in rhabdomyosarcoma cell lines by a small molecule inhibitor SU11274
Jinxuan Hou, Jixin Dong, Lijun Sun, Liying Geng, Jing Wang, Jialin Zheng, Yan Li, Julia Bridge, Steven H Hinrichs, Shi-Jian Ding
Journal of Translational Medicine , 2011, DOI: 10.1186/1479-5876-9-64
Abstract: The expression level of phosphorylated c-Met in RMS cell lines (RD, CW9019 and RH30) and tumor tissues was assessed by phospho-RTK array and immunohistochemistry, respectively. The inhibition effects of SU11274 on RMS cells were studied with regard to intracellular signaling, cell proliferation, cell cycle and cell migration.A high level of phosphorylated c-Met was detected in 2 alveolar RMS cell lines (CW9019 and RH30) and 14 out of 24 RMS tissue samples, whereas relatively low levels of phospho-c-Met were observed in the embryonic RMS cell line (RD). The small molecule SU11274 could significantly reduce the phosphorylation of c-Met, resulting in inhibition of cell proliferation, G1 phase arrest of cell cycle and blocking of cell migration in CW9019 and RH30 cell lines.These results might support the role of c-Met in the development and progression of RMS. Furthermore, the inhibitor of c-Met, SU11274, could be an effective targeting therapy reagent for RMS, especially alveolar RMS.Rhabdomyosarcoma (RMS) is the most common soft tissue tumor in childhood, accounting for up to 50% of all soft tissue sarcomas [1]. While in adults, RMS represents about 15-20% of all soft tissue sarcomas [2]. There are two main histologically distinct subtypes of RMS: embryonal RMS (ERMS) and alveolar RMS (ARMS) [3]. ERMS is composed of spindle-shaped cells with a stromal rich appearance and occurs mainly in the head and neck region. It is the most frequently diagnosed variant with a generally good prognosis and presents early with an onset around the age of 2-5 years [3,4]. In contrast, ARMS consists of small, round, densely packed cells and occurs more often in the trunk and extremities. ARMS is primarily diagnosed in adolescents and is associated with a poor prognosis as patients often present with metastatic disease [5]. Chemotherapy is the most common therapeutic option for RMS. The regimens are typically based on variations of the well-established vincristine, actinomycin D and cyc
Lossy-to-Lossless Compression of Hyperspectral Image Using the 3D Set Partitioned Embedded ZeroBlock Coding Algorithm  [PDF]
Ying Hou
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.22013
Abstract: In this paper, we propose a three-dimensional Set Partitioned Embedded ZeroBlock Coding (3D SPEZBC) lossy-to-lossless compression algorithm for hyperspectral image which is an improved three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. The algorithm adopts the 3D integer wavelet packet transform proposed by Xiong et al. to decorrelate, the set-based partitioning zeroblock coding to process bitplane coding and the con-text-based adaptive arithmetic coding for further entropy coding. The theoretical analysis and experimental results demonstrate that 3D SPEZBC not only provides the same excellent compression performances as 3D EZBC, but also reduces the memory requirement compared with 3D EZBC. For achieving good coding performance, the diverse wave-let filters and unitary scaling factors are compared and evaluated, and the best choices were given. In comparison with several state-of-the-art wavelet coding algorithms, the proposed algorithm provides better compression performance and unsupervised classification accuracy.
Spectral Analysis and Variable Structural Control of an Elastic Beam  [PDF]
Xuezhang Hou
Journal of Applied Mathematics and Physics (JAMP) , 2013, DOI: 10.4236/jamp.2013.15015

An elastic beam system formulated by partial differential equations with initial and boundary conditions is investigated in this paper. An evolution equation corresponding with the beam system is established in an appropriate Hilbert space. The spectral analysis and semigroup generation of the system operator of the beam system are discussed. Finally, a variable structural control is proposed and a significant result that the solution of the system is exponentially stable under a variable structural control with some appropriate conditions is obtained.

Does the Pay Gap in the Top Management Team Incent Enterprise Innovation?—Based on Property Rights and Financing Constraints  [PDF]
Jingru Hou
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.85088
Abstract: Using the patent applications data of listed firms in China from 2005 to 2014, this paper examines how the pay gap in the top management team influences enterprise innovation. The result shows that the number of patent applications especially the number of patents for invention increases significantly when the pay gap enlarges. It means the enlargement of the pay gap in the top management team could incent executives to make innovation decisions, to promote outputs of high-quality patents for invention. Finally the quality of enterprise innovation has been improved. Especially, the incentive effect of the pay gap in the top management team is more significant in private enterprises and enterprises with strong financing constraints. Therefore, enterprises in these two groups have better innovation behaviors.

Li Jinxuan,Yu Xiuri,

岩石力学与工程学报 , 2004,
Abstract: According to the theory of fracture flow,the theory and methods to analyze the hydraulic and geometric properties of fractured rock using constant-pressure well test data are given. Two approaches to determine these properties are introduced with practical examples. The first one uses standard curve matching approach to analyze test data for flow of arbitrary dimension,and the second one uses straight-line approach chart method for flow of integer dimension of one,two and three.
Interaction between Dutch Soccer Teams and Fans: A Mathematical Analysis through Cooperative Game Theory  [PDF]
Dongshuang Hou, Theo Driessen
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.31014
Abstract: Inspired by the first lustrum of the Club Positioning Matrix (CPM) for professional Dutch soccer teams, we model the interaction between soccer teams and their potential fans as a cooperative cost game based on the annual voluntary sponsorships of fans in order to validate their fan registration in a central database. We introduce a natural cost allocation to the soccer teams, based in a natural manner on the sponsorships of fans. The game theoretic approach is twofold. On the one hand, an appropriate cost game called “fan data cost game” is developed and on the other, it is shown that the former natural cost allocation agrees with the solution concept called “nucleolus” of the fan data cost game.
Research on SAP Business One Implementation Risk Factors with Interpretive Structural Model  [PDF]
Jiangping Wan, Jiajun Hou
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.53022
Abstract: The possible risk factors during SAP Business One implementation were studied with depth interview. The results are then adjusted by experts. 20 categories of risk factors that are totally 49 factors were found. Based on the risk factors during the SAP Business One implementation, questionnaire was used to study the key risk factors of SAP Business One implementation. Results illustrate ten key risk factors, these are risk of senior managers leadership, risk of project management, risk of process improvement, risk of implementation team organization, risk of process analysis, risk of based data, risk of personnel coordination, risk of change management, risk of secondary development, and risk of data import. Focus on the key risks of SAP Business One implementation, the interpretative structural modeling approach is used to study the relationship between these factors and establish a seven-level hierarchical structure. The study illustrates that the structure is olive-like, in which the risk of data import is on the top, and the risk of senior managers is on the bottom. They are the most important risk factors.
Analysis of 3 Serious Medication Errors in Provincial Hospital  [PDF]
Ning Hou, Hui Tang
Pharmacology & Pharmacy (PP) , 2014, DOI: 10.4236/pp.2014.54049

Background: Medication errors are a common problem in Chinese hospital, with potentially harmful consequences for patients. The objective of this study was to analyze the cause of typical serious medication errors in some first-class provincial hospital to prevent medication error and improve rational use of drug and ensure patients administration security. Medication errors were collected between September 1, 2012 and August 31, 2013. 332 cases’ medication errors were categorized as harmful or not according to NCC MERP’s Index and other indexes such as type of error and causes of error. We focus on analyzing the 3 serious cases (0.9%, n = 3) among the all MEs that may have contributed to or resulted in temporary harm to the patient and required intervention, including the process and the cause and the background of the errors. The case analysis reminds us to pay more attention to prevent medication errors. The preventive medication error’s measures are explored through the analysis of the causes, such as forcing functions and constraints, automation and standardization, double-checking systems, rules and policies, information and more careful working. Conclusion: This analytical study demonstrates that medication error is an objective existent in hospital. It is especially important to ensure patient medication safety for reporting and analyzing medication error in order to explore measures preventing medication error.

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