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Search Results: 1 - 10 of 12638 matches for " ShaoXiang Luo "
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Study on peptide-peptide interaction using high-performance affinity chromatography and quartz crystal microbalance biosensor
Jia Luo,YanYan Huang,ShaoXiang Xiong,GuoQuan Liu,Rui Zhao
Chinese Science Bulletin , 2007, DOI: 10.1007/s11434-007-0175-3
Abstract: The specific interaction between sense and antisense peptides was studied by high-performance affinity chromatography (HPAC) and quartz crystal microbalance (QCM) biosensor. Fragment 1–14 of human interferon-β (hIFN-β) was chosen as sense peptide and its three antisense peptides (AS-IFN 1, AS-IFN 2, and AS-IFN 3) were designed according to the degeneracy of genetic codes. The affinity column was prepared with sense peptide as ligand and the affinity chromatographic behavior was evaluated. Glu-substituted antisense peptide (AS-IFN 3) showed the strongest binding to immobilized sense peptide at pH 7.5. A quartz crystal microbalance-flow injection analysis (QCM-FIA) system was introduced to investigate the recognition process in real-time. The equilibrium dissociation constants between sense peptide and AS-IFN 1, AS-IFN 2 and AS-IFN 3 measured 2.08×10 4, 1.31×10 4 and 2.22×10 5 mol/L, respectively. The mechanism study indicated that the specific recognition between sense peptide and AS-IFN 3 was due to sequence-dependent and multi-modal affinity interaction.
Study on peptide-peptide interaction using high-performance affinity chromatography and quartz crystal microbalance biosensor
LUO Jia,HUANG YanYan,XIONG ShaoXiang,LIU GuoQuan,ZHAO Rui,
LUO
,Jia,HUANG,YanYan,XIONG,ShaoXiang,LIU,GuoQuan,ZHAO,Ruit

科学通报(英文版) , 2007,
Abstract: The specific interaction between sense and antisense peptides was studied by high-performance affinity chromatography (HPAC) and quartz crystal microbalance (QCM) biosensor. Fragment 1–14 of human interferon-β (hIFN-β) was chosen as sense peptide and its three antisense peptides (AS-IFN 1, AS-IFN 2, and AS-IFN 3) were designed according to the degeneracy of genetic codes. The affinity column was prepared with sense peptide as ligand and the affinity chromatographic behavior was evaluated. Glu-substituted antisense peptide (AS-IFN 3) showed the strongest binding to immobilized sense peptide at pH 7.5. A quartz crystal microbalance-flow injection analysis (QCM-FIA) system was introduced to investigate the recognition process in real-time. The equilibrium dissociation constants between sense peptide and AS-IFN 1, AS-IFN 2 and AS-IFN 3 measured 2.08×10 4, 1.31×10 4 and 2.22×10 5 mol/L, respectively. The mechanism study indicated that the specific recognition between sense peptide and AS-IFN 3 was due to sequence-dependent and multi-modal affinity interaction. Supported by the National Natural Science Foundation of China (Grant Nos. 20575072, 20435030 and 90408018) and the Chinese Academy of Sciences (Grant No. KJCX2-SW-H06)
External Fractional-Order Gradient Vector Perona-Malik Diffusion for Sinogram Restoration of Low-Dosed X-Ray Computed Tomography
Shaoxiang Hu
Advances in Mathematical Physics , 2013, DOI: 10.1155/2013/516919
Abstract: Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms are defined as fully spatial fractional-order derivatives (FSFODs). However, we argue that FSFOD is not the best way for diffusion since different parts of spatial derivative play different roles in Perona-Malik diffusion (PMD) and derivative orders should be decided according to their roles. Therefore, we adopt a novel fractional-order diffusion scheme, named external fractional-order gradient vector Perona-Malik diffusion (EFOGV-PMD), by only replacing integer-order derivatives of “external” gradient vector to their fractional-order counterparts while keeping integer-order derivatives of gradient vector for diffusion coefficients since the ability of edge indicator for 1-order derivative is demonstrated both in theory and applications. Here “external” indicates the spatial derivatives except for the derivatives used in diffusion coefficients. In order to demonstrate the power of the proposed scheme, some real sinograms of low-dosed computed tomography (LDCT) are used to compare the different performances. These schemes include PMD, regularized PMD (RPMD), and FOPMD. Experimental results show that the new scheme has good ability in edge preserving, is convergent quickly, has good stability for iteration number, and can avoid artifacts, dark resulting images, and speckle effect. 1. Introduction Since the work of Perona-Malik in 1990, Perona-Malik diffusion (PMD) becomes a popular technique in image denoising and it is defined as [1] where is the initial gray scale image, is the smoothed gray scale image at time , denotes the gradient, is the divergence operator and is the diffusion coefficient. controls the rate of diffusion and it is usually chosen as a monotonically decreasing function of the module of the image gradient. The key idea of PMD is to smooth the homogenous regions with small while near singularities with big , PMD only smoothes along the perpendicular direction of the gradient. This idea is based on that the 1-order gradient module can be used as singularities locator. Thus the order of gradient vector in diffusion coefficients should be kept as 1. It is the start point of EFOGV-PMD proposed in this paper. In 1992, Catté et al. indicate that PMD is ill posed and they propose a new well-posed method named regularized Perona-Malik Diffusion (RPMD) by modifying the module of the image gradient in diffusion coefficients to the module of the gradient convoluted with a Gaussian kernel [2]. Although PMD methods have been demonstrated to be able to achieve a good trade-off
Antigenic analysis of grass carp reovirus using single-chain variable fragment antibody against IgM from Ctenopharyngodon idella
CongLin Chen,XiaoYun Sun,LanJie Liao,ShaoXiang Luo,ZhouQuan Li,XiaoHua Zhang,YaPing Wang,QionLin Guo,Qin Fang,HePing Dai
Science China Life Sciences , 2013, DOI: 10.1007/s11427-012-4425-5
Abstract: Grass carp (Ctenopharyngodon idella) is an important species of freshwater aquaculture fish in China. However, grass carp reovirus (GCRV) can cause fatal hemorrhagic disease in yearling populations. Until now, a strategy to define the antigenic capacity of the virus’s structural proteins for preparing an effective vaccine has not been available. In this study, some single-chain variable fragment antibodies (scFv), which could specifically recognize grass carp IgM, were selected from a constructed mouse na ve antibody phage display cDNA library. The identified scFv C1B3 clone was shown to possess relatively higher specific binding activity to grass carp IgM. Furthermore, ELISA analysis indicated that the IgM level in serum from virus-infected grass carp was more than two times higher than that of the control group at 5–7 days post infection. Moreover, Western blot analysis demonstrated that the outer capsid protein VP7 has a specific immuno-binding-reaction with the serum IgM from virus-infected grass carp. Our results suggest that VP7 can induce a stronger immune response in grass carp than the other GCRV structural proteins, which implies that VP7 protein could be used as a preferred immunogen for vaccine design.
Anatomic Pathways of Peripancreatic Fluid Draining to Mediastinum in Recurrent Acute Pancreatitis: Visible Human Project and CT Study
Haotong Xu, Xiaoming Zhang, Andreas Christe, Lukas Ebner, Shaoxiang Zhang, Zhulin Luo, Yi Wu, Yin Li, Fuzhou Tian
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0062025
Abstract: Background In past reports, researchers have seldom attached importance to achievements in transforming digital anatomy to radiological diagnosis. However, investigators have been able to illustrate communication relationships in the retroperitoneal space by drawing potential routes in computerized tomography (CT) images or a virtual anatomical atlas. We established a new imaging anatomy research method for comparisons of the communication relationships of the retroperitoneal space in combination with the Visible Human Project and CT images. Specifically, the anatomic pathways of peripancreatic fluid extension to the mediastinum that may potentially transform into fistulas were studied. Methods We explored potential pathways to the mediastinum based on American and Chinese Visible Human Project datasets. These drainage pathways to the mediastinum were confirmed or corrected in CT images of 51 patients with recurrent acute pancreatitis in 2011. We also investigated whether additional routes to the mediastinum were displayed in CT images that were not in Visible Human Project images. Principal Findings All hypothesized routes to the mediastinum displayed in Visible Human Project images, except for routes from the retromesenteric plane to the bilateral retrorenal plane across the bilateral fascial trifurcation and further to the retrocrural space via the aortic hiatus, were confirmed in CT images. In addition, route 13 via the narrow space between the left costal and crural diaphragm into the retrocrural space was demonstrated for the first time in CT images. Conclusion This type of exploration model related to imaging anatomy may be used to support research on the communication relationships of abdominal spaces, mediastinal spaces, cervical fascial spaces and other areas of the body.
Three-Dimensional Reconstruction of Thoracic Structures: Based on Chinese Visible Human
Yi Wu,Na Luo,Liwen Tan,Binji Fang,Ying Li,Bing Xie,Kaijun Liu,Chun Chu,Min Li,Shaoxiang Zhang
Computational and Mathematical Methods in Medicine , 2013, DOI: 10.1155/2013/795650
Abstract: We managed to establish three-dimensional digitized visible model of human thoracic structures and to provide morphological data for imaging diagnosis and thoracic and cardiovascular surgery. With Photoshop software, the contour line of lungs and mediastinal structures including heart, aorta and its ramus, azygos vein, superior vena cava, inferior vena cava, thymus, esophagus, diaphragm, phrenic nerve, vagus nerve, sympathetic trunk, thoracic vertebrae, sternum, thoracic duct, and so forth were segmented from the Chinese Visible Human (CVH)-1 data set. The contour data set of segmented thoracic structures was imported to Amira software and 3D thorax models were reconstructed via surface rendering and volume rendering. With Amira software, surface rendering reconstructed model of thoracic organs and its volume rendering reconstructed model were 3D reconstructed and can be displayed together clearly and accurately. It provides a learning tool of interpreting human thoracic anatomy and virtual thoracic and cardiovascular surgery for medical students and junior surgeons. 1. Introduction The thorax is an important chamber of human body and is protected by the thoracic wall including thoracic cage and associated skin, muscle, and fascia. It is separated from the abdominal cavity by the diaphragm and the upper limit is formed by the manubrium in front, the first ribs laterally, and the spine posteriorly. It contains the main organs relative to respiration and circulation including lung, trachea, bronchia, heart, aorta, superior vena cava, inferior vena cava, and so forth, which nearly control human life. The thoracic diseases including lung cancer, thymus neoplasm, cardiac surgery disease, aortic aneurysm, and mediastinal tumor of nervous tissue are prevalent. If the cardiovascular and thoracic surgeons cannot master the anatomy of human thoracic structures, they may injure thoracic structures such as pulmonary lobe, pericardium, aorta, esophagus, trachea, bronchia, and vagus nerve during operation, leading to pneumothorax, hematorrhea, vagus nerve injury, or many other unwanted sever consequences. Previous anatomical data of lung and mediastinum including clinical image examinations are mostly two-dimensional (2D) images such as CT, CTA, MRI, MRA, and anatomical atlas, obviously, but 2D data cannot fully and faithfully reveal the three-dimensional (3D), full-scale information of the thoracic organs, and sometimes ambiguous conclusions may be reached. This kind of situation cannot efficiently meet the clinical requirement [1–4]. In recent years, theoretical
Analysis of Nonlinear Characteristics of Turbine Governor and Its Impact on Power System Oscillation  [PDF]
Ge Jin, Hanting Yan, Shaoxiang Deng, Xiaomei Chen, Zexiang Cai
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B144
Abstract:

In this paper, the model of turbine governor based on the physical principles is constituted to improve the accuracy of power system dynamic simulation, making the results of simulation consistent with the actual situation. The unit and grid coupling model which reflects the interaction between thermal system of power plant and power system is built using EMTDC/PSCAD. The influence of nonlinear characteristics on the valve opening and the steam turbine mechanical power is also analyzed in this paper. The results of simulation show that the improper setting of parameters reflecting nonlinear characteristics of turbine governor can lead to the cyclical oscillations of the valve opening and the steam turbine mechanical power, and even can lead to the power oscillation persistently. The research achievements in this paper have a certain reference value on exploring the causes of power oscillation from the prime mover.

The Second Law (Exergy) Analysis of Hydrogen
Zhiquan Wu,Shaoxiang Zhou,Liansuo An
Journal of Sustainable Development , 2011, DOI: 10.5539/jsd.v4n1p260
Abstract: As the carrier of the accepted future clean energy, hydrogen is endowed by many energy missions. If the hydrogen economy is realized, the hydrogen will certainly be the mina fuel, so it is very important to analyze the hydrogen explosion capacity, i.e. the fuel exergy of hydrogen. Based on the systematical analysis of fuel exergy, the fuel exergy of hydrogen is analyzed and discussed in this article, combining with the physical properties and the utilization trends. Through the comparison of the fuel exergy of hydrogen and other ideal gases, if the hydrogen is used for power generation, it will be scientific utilization only when the efficiency of the second law of thermodynamics exceeds 6.7 (the efficiency of natural gas) in the energy utilization, which will challenge the reasonable utilization of hydrogen. The result of analysis and computation indicates that the fuel exergy of hydrogen exceeded the lower heat value (LHV), and was less than the higher heat value (HHV).
Determining Neighborhoods of Image Pixels Automatically for Adaptive Image Denoising Using Nonlinear Time Series Analysis
Zhiwu Liao,Shaoxiang Hu,Wufan Chen
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/914564
Abstract: This paper presents a method determining neighborhoods of the image pixels automatically in adaptive denoising. The neighborhood is named stationary neighborhood (SN). In this method, the noisy image is considered as an observation of a nonlinear time series (NTS). Image denoising must recover the true state of the NTS from the observation. At first, the false neighbors (FNs) in a neighborhood for each pixel are removed according to the context. After moving the FNs, we obtain an SN, where the NTS is stationary and the real state can be estimated using the theory of stationary time series (STS). Since each SN of an image pixel consists of elements with similar context and nearby locations, the method proposed in this paper can not only adaptively find neighbors and determine size of the SN according to the characteristics of a pixel, but also be able to denoise while effectively preserving edges. Finally, in order to show the superiority of this algorithm, we compare this method with the existing universal denoising algorithms.
Image Denoising Based on Dilated Singularity Prior
Shaoxiang Hu,Zhiwu Liao,Wufan Chen
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/767613
Abstract: In order to preserve singularities in denoising, we propose a new scheme by adding dilated singularity prior to noisy images. The singularities are detected by canny operator firstly and then dilated using mathematical morphology for finding pixels “near” singularities instead of “on” singularities. The denoising results for pixels near singularities are obtained by nonlocal means in spatial domain to preserve singularities while the denoising results for pixels in smooth regions are obtained by EM algorithm constrained by a mask formed by downsampled spatial image with dilated singularity prior to suiting the sizes of the subbands of wavelets. The final denoised results are got by combining the above two results. Experimental results show that the scheme can preserve singularity well with relatively high PSNR and good visual quality.
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