The Protective Roles of S-adenosylmethionine Decarboxylase (SAMDC) Gene in Melon Resistance to Powdery Mildew Infection

Changming Liu,Xiaoling Li,Ruiping Yang,Yanling Mo,Yongqi Wang,Feng Xian,Xian Zhang,Fei Wang 한국원예학회 2014 Horticulture, Environment, and Biotechnology Vol.55 No.6

Powdery mildew caused by Podosphaera xanthii (P. xanthii) is one of important diseases in melon. Wehave previously investigated the differential gene expression in the incompatible P. xanthii-melon interactions andidentified one EST containing homologous sequences to S-adenosylmethionine decarboxylase (SAMDC) cDNA. Giventhis, SAMDC gene of Cucumis melo was cloned and designated as CmSAMDC in this study. It was 1,095 bp longand encoded a 364-amino acid peptide with a molecular mass of 40 kD. By sequence analyzing, the deducedCmSAMDC protein was shown to have two conserved regions of a putative proenzyme cleavage site and a PESTdomain. In addition, the expressions of CmSAMDC in the resistant melon materials increased more sharply than inthe susceptible the melon materials, and the higher polyamines (PAs) and hydrogen peroxide (H2O2) contents inresistant melon materials were found as well, which were accompanied by up-regulation of the stress-responsive defenseenzyme activities. Over-expression of CmSAMDC in Arabidopsis resulted in greatly reduced pathogen infection in theinoculated leaves of transgenic lines, enhanced resistance to powdery mildew, and the enhanced resistance appearedto be associated with pathogen-induced cell death. Taken together, our results suggested that CmSAMDC and perhapsits orthologous genes might be involved in responses of plants to biotrophic pathogens.

Study on Architecture and Implementation of Port Logistics Information Service Platform Based on Cloud Computing

Changming Li,Jie Shen,Yanfang Liu 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2

This paper analyses service objects and functional positioning of port logistics information service platform firstly. The architecture of port logistics information service platform upon cloud computing is proposed Based on the research of the concept and service mode of cloud computing. The system configuration and function implementation on the basis of Windows Azure Platform is further discussed in detail.

Finite element analysis and axial bearing capacity of steel reinforced recycled concrete filled square steel tube columns

Jing Dong,Hui Ma,Changming Zou,Yunhe Liu,Chen Huang 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.72 No.1

This paper presents a finite element model which can simulate the axial compression behavior of steel reinforced recycled concrete (SRRC) filled square steel tube columns using the ABAQUS software. The analytical model was established by selecting the reasonable nonlinear analysis theory and the constitutive relationship of material in the columns. The nonlinear analysis of failure modes, deformation characteristics, stress nephogram, and load-strain curves of columns under axial loads was performed in detail. Meanwhile, the influences of recycled coarse aggregate (RCA) replacement percentage, profile steel ratio, width thickness ratio of square steel tube, RAC strength and slenderness ratio on the axial compression behavior of columns were also analyzed carefully. It shows that the results of finite element analysis are in good agreement with the experimental results, which verifies the validity of the analytical model. The axial bearing capacity of columns decreased with the increase of RCA replacement percentage. While the increase of wall thickness of square steel tube, profile steel ratio and RAC strength were all beneficial to improve the bearing capacity of columns. Additionally, the parameter analysis of finite element analysis on the columns was also carried out by using the above numerical model. In general, the SRRC filled square steel tube columns have high bearing capacity and good deformation ability. On the basis of the above analysis, a modified formula based on the American ANSI/AISC 360-10 was proposed to calculate the nominal axial bearing capacity of the columns under axial loads. The research conclusions can provide some references for the engineering application of this kind of columns.

Modelling and Simulating the Spatio-Temporal Correlations of Clustered Wind Power Using Copula

Zhang, Ning,Kang, Chongqing,Xu, Qianyao,Jiang, Changming,Chen, Zhixu,Liu, Jun The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.6

Modelling and simulating the wind power intermittent behaviour are the basis of the planning and scheduling studies concerning wind power integration. The wind power outputs are evidently correlated in space and time and bring challenges in characterizing their behaviour. This paper provides a methodology to model and simulate the clustered wind power considering its spatio-temporal correlations using the theory of copula. The sampling approach captures the complex spatio-temporal connections among the wind farms by employing a conditional density function calculated using multidimensional copula function. The empirical study of real wind power measurement shows how the wind power outputs are correlated and how these correlations affect the overall uncertainty of clustered wind power output. The case study validates the simulation technique by comparing the simulated results with the real measurements.

Antioxidant Mechanism and Lipid Peroxidation Patterns in Leaves and Petals of Marigold in Response to Drought Stress

Zhiguo Tian,Fei Wang,Wene Zhang,Changming Liu,Xiuming Zhao 한국원예학회 2012 Horticulture, Environment, and Biotechnology Vol.53 No.3

In this study, malondialdehyde (MDA), relative conductivity (RC), superoxide anion (O2・-), hydrogen peroxide (H2O2), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), ascorbate peroxidase (APX) as well as ascorbic acid (AsA), glutation (GSH) and carotenoid (Car) were analyzed in plants under drought condition to investigate the enzymatic and non-enzymatic antioxidant defense mechanisms of leaves and petals, respectively. Two different drought resistance marigold cultivars (Tagetes erecta L. cv. Chokdee and Tagetes erecta L. cv. Discovery)treated with 6-day drought stress were used at early flowering stage. Results indicated that drought treatment increased MDA, RC, O2・- and H2O2 contents in the two cultivars, especially in drought-sensitive cultivar ‘Discovery’. In contrast,‘Chokdee’ had higher level antioxidative enzyme activities and more non-enzymatic antioxidants than those in ‘Discovery’. SOD, POD, CAT, APX activities and non-enzymatic antioxidants (GSH and AsA) in the leaves and petals were increased at the beginning treatment, and decreased later. The activity of CAT in leaves and petals, APX in petals and AsA in petals on day 6 after treatment were lower than those in control, while Car in the two cultivars decreased consistently during drought stress treatment. In addition, all the antioxidant enzyme activities in the leaves were higher than those in petals, but AsA and GSH were accumulated at lower levels in leaves than those in petals of the both cultivars. Furthermore, significant linear relationships were found between antioxidative enzymes and reactive oxygen species (ROS), as well as in non-enzymatic antioxidants and ROS. In conclusion, drought tolerance of ‘Chokdee’ was correlated with eliminating the O2・- and H2O2 and maintaining lower lipid peroxidation as well as higher membrane stability by increasing activities of antioxidative enzymes and the amount of non-enzymatic antioxidants. Furthermore, different drought response mechanisms were involved in leaves and petals of marigold under drought stress.

Modelling and Simulating the Spatio-Temporal Correlations of Clustered Wind Power Using Copula

Ning Zhang,Chongqing Kang,Qianyao Xu,Changming Jiang,Zhixu Chen,Jun Liu 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.6

Modelling and simulating the wind power intermittent behaviour are the basis of the planning and scheduling studies concerning wind power integration. The wind power outputs are evidently correlated in space and time and bring challenges in characterizing their behaviour. This paper provides a methodology to model and simulate the clustered wind power considering its spatiotemporal correlations using the theory of copula. The sampling approach captures the complex spatiotemporal connections among the wind farms by employing a conditional density function calculated using multidimensional copula function. The empirical study of real wind power measurement shows how the wind power outputs are correlated and how these correlations affect the overall uncertainty of clustered wind power output. The case study validates the simulation technique by comparing the simulated results with the real measurements.

Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation

( Yizhang Zhang ),( Guijin Tang ),( Xiaohua Liu ),( Changming Sun ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.9

To solve the problem of transmission errors in stereoscopic images, this paper proposes a novel error concealment (EC) method using superpixel segmentation and adaptive disparity selection (SSADS). Our algorithm consists of two steps. The first step is disparity estimation for each pixel in a reference image. In this step, the numbers of superpixel segmentation labels of stereoscopic images are used as a new constraint for disparity matching to reduce the effect of mismatching. The second step is disparity selection for a lost block. In this step, a strategy based on boundary smoothness is proposed to adaptively select the optimal disparity which is used for error concealment. Experimental results demonstrate that compared with other methods, the proposed method has significant advantages in both objective and subjective quality assessment.