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Search Results: 1 - 10 of 137904 matches for " JIANG Dongju WANG Dexin "
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AN INTELLIGENT GENERATION AND ANALYSIS SYSTEM FOR TRUSS STRUCTURES
一种桁架结构智能生成与分析系统

JIANG Dongju WANG Dexin,
姜冬菊
,王德信

力学与实践 , 2008,
Abstract: An intelligent generation and analysis system of trusses is built.It can complete the process of layout, topological generation and calculation for truss structures automatically.The layout design of trusses include joints setting and selective bar connecting.The structure is formed automatically by use of the topological variation method.The basic internal force matrix is adopted to analyze the structure.Examples show that this proposed system enjoys a good performance and is easy to operate.The system is characterized with intelligent and self-adaptive abilities.It can help to realize the topology and layout optimization design of structures.
Optimal Control for Time-Delay Bilinear Systems with Sinusoidal Disturbances  [PDF]
Dexin Gao, Min Wang, Leilei Li
Intelligent Control and Automation (ICA) , 2013, DOI: 10.4236/ica.2013.41005
Abstract:

This paper considers the optimal control problem for time-delay bilinear systems affected by sinusoidal disturbances with known frequency and measurable amplitude and phase. Firstly, using the differential homeomorphism, a time-delay bilinear system affected by sinusoidal disturbances is changed to a time-delay pseudo linear system through the coordinate transformation. Then the system with time-delay in control variable is transformed to a linear controllable system without delay using model transformation. At last based on the theory of linear quadratic optimal control, an optimal control law which is used to eliminate the influence of the disturbances is derived from a Riccati equation and Matrix equations. The simulation results show the effectiveness of the method.

Vaccination with dengue virus-like particles induces humoral and cellular immune responses in mice
Shuo Zhang, Mifang Liang, Wen Gu, Chuan Li, Fang Miao, Xiaofang Wang, Cong Jin, Li Zhang, Fushun Zhang, Quanfu Zhang, Lifang Jiang, Mengfeng Li, Dexin Li
Virology Journal , 2011, DOI: 10.1186/1743-422x-8-333
Abstract: By optimizing the expression plasmids, recombinant VLPs of four antigenically different DENV serotypes DENV1-4 were successfully produced in 293T cells. The vaccination effect of dengue VLPs in mice showed that monovalent VLPs of each serotype stimulated specific IgG responses and potent neutralizing antibodies against homotypic virus. Tetravalent VLPs efficiently enhanced specific IgG and neutralizing antibodies against all four serotypes of DENV. Moreover, vaccination with monovalent or tetravalent VLPs resulted in the induction of specific cytotoxic T cell responses.Mammalian cell expressed dengue VLPs are capable to induce VLP-specific humoral and cellular immune responses in mice, and being a promising subunit vaccine candidate for prevention of dengue virus infection.Dengue viruses (DENV) are transmitted among humans by mosquitos, such as Aedes aegypti and Aedes albopictus [1]. DENV infection may cause a self-limited febrile illness known as dengue fever (DF), or result in a life-threatening dengue hemorrhagic fever or dengue shock syndrome (DHF/DSS). It has been estimated that 50-100 million cases of DF and 250,000-500,000 cases of DHF occur annually [2], mainly in tropical and subtropical regions of the world. Dengue viruses, exist as four serotypes, belong to the family of Flaviviridae, genus Flavivirus. The virion contains a positive-sense single-strand RNA genome with a long open reading frame coding for capsid (C), premembrane(prM), and envelope(E) structural proteins, as well as seven non-structural(NS) proteins: NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5[3].Because of the widespread geographical distribution and the severe clinical symptoms, dengue vaccine is urgently needed. However, licensed vaccine is not currently available for prevention of DENV infection. One major reason is the phenomenon of antibody dependent-enhancement (ADE), which is known as that a subsequent infection with an alternate serotype can enhance severity of dengue disease [1]. On
Feedback Linearization Optimal Control Approach for Bilinear Systems in CSTR Chemical Reactor  [PDF]
Dexin Gao, Qing Yang, Min Wang, Yongmao Yu
Intelligent Control and Automation (ICA) , 2012, DOI: 10.4236/ica.2012.33031
Abstract: This paper considers the optimal control problem for the bilinear system based on state feedback. Based on the concept of relative order of the output with respect to the input, first we change a bilinear system to a pseudo linear system model through the coordinate transformation. Then based on the theory of linear quadratic optimal control, the optimal controller is designed by solving the Riccati equation and introducing state feedback with state prediction. At last, the simulation results in CSTR Chemical reactor show the effectiveness of the method.
Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation
Donghui Mu,Dongju Chen,Jinwei Fan,Xiaofeng Wang,Feihu Zhang
Sensors , 2012, DOI: 10.3390/s120709551
Abstract: This paper proposes a novel method for identifying carriage errors. A general mathematical model of a guideway system is developed, based on the multi-body system method. Based on the proposed model, most error sources in the guideway system can be measured. The flatness of a workpiece measured by the PGI1240 profilometer is represented by a wavelet. Cross-correlation analysis performed to identify the error source of the carriage. The error model is developed based on experimental results on the low frequency components of the signals. With the use of wavelets, the identification precision of test signals is very high.
Involvement of TIP60 acetyltransferase in intracellular Salmonella replication
Xueqin Wang, Dongju Li, Di Qu, Daoguo Zhou
BMC Microbiology , 2010, DOI: 10.1186/1471-2180-10-228
Abstract: In an attempt to identify host proteins that interact with SseF, we conduct a yeast two-hybrid screening of human cell cDNA library using SseF as the bait. We identified that TIP60, an acetyltransferase, interacts with SseF. We showed that the TIP60 acetylation activity was increased in the presence of SseF, and TIP60 was upregulated upon Salmonella infection. In addition, TIP60 is required for efficient intracellular Salmonella replication in macrophages.Taken together, our data suggest that Salmonella may use SseF to exploit the host TIP60 acetyltransferase activity to promote efficient Salmonella replication inside host cells.Protein acetylation adds the acetyl group on either the amino-terminal residues or on the epsilon-amino group of lysine residues. Lysine acetylation affects many protein functions, including DNA binding, protein-protein interactions, and protein stability. TIP60 catalyzes histone acetylation [1,2]. It was originally identified as a cellular acetyltransferase protein that interacts with HIV-1 Tat [3]. Over-expression of TIP60 increased Tat transactivation of the HIV-1 promoter [3]. Recent studies found that TIP60 has diverse functions involved in transcription, cellular signaling, DNA damage repair, cell cycle checkpoint control and apoptosis [2,4,5].Salmonella enterica serovar Typhimurium (S. typhimurium) causes gastrointestinal diseases in humans and typhoid-like fever in the mouse. S. typhimurium encodes two Type III secretion systems within the Salmonella pathogenicity islands 1 and 2 (SPI-1 and SPI-2) that are required for Salmonella entry and subsequent survival inside the host cells, respectively [6-10]. Following entry into the host cells, S. typhimurium replicates within a membrane-bound compartment termed Salmonella-containing vacuole (SCV). Previous studies have shown that SifA, SseF and SseG are involved in the formation of Salmonella induced filaments (Sifs) that are required for maintaining the SCV [11-13].SseF, working together
Combination Therapy of Multiple Micro Trauma Technology on Hepatocellular Carcinoma  [PDF]
Xinfeng Li, Guorong Lu, Dexin Liu, Gaoxiong Wang, Shilin Li, Wei Zhuang
Journal of Cancer Therapy (JCT) , 2013, DOI: 10.4236/jct.2013.43084
Abstract:

Objective: To compare efficacy of therapy scheme as Transhepatic Artery Chemoembolization (TACE) + Radiofrequency Ablation (RFA) + Introportal Vein Chemotherapy (PVC) + Percutaneous Ethanol Injection (PEI) therapy (quadruplet group) with TACE + RFA combinational therapy (diad group) in treating hepatocellular carcinoma (HCC). Methods: 25 cases in quadruplet group were treated by TACE for 3 weeks, then by RFA, after 2 months, by PVC + PEI; 23 cases in diad group were treated by TACE for 3 weeks and then by PEI. After completion of each treatment course in both groups, Alphafetoprotein (AFP) was tested 2 months later; abdomen colorful doppler, CT and AFP were retested 6 months later. Results: AFP was significantly decreased in 23 cases of quadruplet group and 20 cases of diad group among those with AFP positive results. 6 months later, examinations of CT, colorful Doppler and AFP in two groups showed: quadruplet group has significantly decreased (X2 = 6.81, P < 0.01) blood supply of cancer tissue and significantly diminished (X2 = 8.29, P < 0.01) tumor size, few cases with AFP elevation (X2 = 5.06, P < 0.05); lower 1 year relapse rate and two years mortality than that in diad group (X2 = 5.30, P < 0.05). Conclusion: TACE +

GPU-based ultra fast dose calculation using a finite pencil beam model
Xuejun Gu,Dongju Choi,Chunhua Men,Hubert Pan,Amitava Majumdar,Steve B. Jiang
Physics , 2009, DOI: 10.1088/0031-9155/54/20/017
Abstract: Online adaptive radiation therapy (ART) is an attractive concept that promises the ability to deliver an optimal treatment in response to the inter-fraction variability in patient anatomy. However, it has yet to be realized due to technical limitations. Fast dose deposit coefficient calculation is a critical component of the online planning process that is required for plan optimization of intensity modulated radiation therapy (IMRT). Computer graphics processing units (GPUs) are well-suited to provide the requisite fast performance for the data-parallel nature of dose calculation. In this work, we develop a dose calculation engine based on a finite-size pencil beam (FSPB) algorithm and a GPU parallel computing framework. The developed framework can accommodate any FSPB model. We test our implementation on a case of a water phantom and a case of a prostate cancer patient with varying beamlet and voxel sizes. All testing scenarios achieved speedup ranging from 200~400 times when using a NVIDIA Tesla C1060 card in comparison with a 2.27GHz Intel Xeon CPU. The computational time for calculating dose deposition coefficients for a 9-field prostate IMRT plan with this new framework is less than 1 second. This indicates that the GPU-based FSPB algorithm is well-suited for online re-planning for adaptive radiotherapy.
GPU-based ultra fast IMRT plan optimization
Chunhua Men,Xuejun Gu,Dongju Choi,Amitava Majumdar,Ziyi Zheng,Klaus Mueller,Steve B. Jiang
Physics , 2009, DOI: 10.1088/0031-9155/54/21/008
Abstract: The widespread adoption of on-board volumetric imaging in cancer radiotherapy has stimulated research efforts to develop online adaptive radiotherapy techniques to handle the inter-fraction variation of the patient's geometry. Such efforts face major technical challenges to perform treatment planning in real-time. To overcome this challenge, we are developing a supercomputing online re-planning environment (SCORE) at the University of California San Diego (UCSD). As part of the SCORE project, this paper presents our work on the implementation of an intensity modulated radiation therapy (IMRT) optimization algorithm on graphics processing units (GPUs). We adopt a penalty-based quadratic optimization model, which is solved by using a gradient projection method with Armijo's line search rule. Our optimization algorithm has been implemented in CUDA for parallel GPU computing as well as in C for serial CPU computing for comparison purpose. A prostate IMRT case with various beamlet and voxel sizes was used to evaluate our implementation. On an NVIDIA Tesla C1060 GPU card, we have achieved speedup factors of 20-40 without losing accuracy, compared to the results from an Intel Xeon 2.27 GHz CPU. For a specific 9-field prostate IMRT case with 5x5 mm^2 beamlet size and 2.5x2.5x2.5 mm^3 voxel size, our GPU implementation takes only 2.8 seconds to generate an optimal IMRT plan. Our work has therefore solved a major problem in developing online re-planning technologies for adaptive radiotherapy.
Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport
Xun Jia,Xuejun Gu,Josep Sempau,Dongju Choi,Amitava Majumdar,Steve B. Jiang
Physics , 2009, DOI: 10.1088/0031-9155/55/11/006
Abstract: Monte Carlo simulation is the most accurate method for absorbed dose calculations in radiotherapy. Its efficiency still requires improvement for routine clinical applications, especially for online adaptive radiotherapy. In this paper, we report our recent development on a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport. We have implemented the Dose Planning Method (DPM) Monte Carlo dose calculation package (Sempau et al, Phys. Med. Biol., 45(2000)2263-2291) on GPU architecture under CUDA platform. The implementation has been tested with respect to the original sequential DPM code on CPU in phantoms with water-lung-water or water-bone-water slab geometry. A 20 MeV mono-energetic electron point source or a 6 MV photon point source is used in our validation. The results demonstrate adequate accuracy of our GPU implementation for both electron and photon beams in radiotherapy energy range. Speed up factors of about 5.0 ~ 6.6 times have been observed, using an NVIDIA Tesla C1060 GPU card against a 2.27GHz Intel Xeon CPU processor.
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