Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2019 ( 76 )

2018 ( 824 )

2017 ( 856 )

2016 ( 744 )

Custom range...

Search Results: 1 - 10 of 52872 matches for " XIE Ying-Ping "
All listed articles are free for downloading (OA Articles)
Page 1 /52872
Display every page Item
Comparison of Two Methods for Extracting Total RNA from Citrus Leaves

JIANG Juan,XUE Jiao-liang,XIE Ying-ping,

热带亚热带植物学报 , 2009,
Abstract: 为了简便、快速提取高质量的柑橘(Citrus reticulata Banco)叶片总RNA,采用TRlzol法,对北京天根公司RNAplant Reagent和日本TaKaRa公司RNAiso Reagent两种RNA提取试剂进行比较并适当改进.结果表明:通过琼脂糖凝胶电泳,使用TaKaRa公司试剂提取的总RNA28S和18S条带清晰,紫外分光光度计检测分析A260/A280为1,820,A260,A230为2.088,RNA的浓度为2.840 μg μl-1,用于RT-PCR反应可成功克隆柑橘β-actin看家基因228 bp片段;采用天根公司试剂,琼脂糖凝胶电泳显示RNA带型较模糊,紫外分光光度计检测分析A260/A280为1.464,A260/A230为1.603,RNA的浓度为2.020 μg μl-1,达不到RNA的标准.TaKaRa公司RNAiso Reagent试剂提取的柑橘叶RNA纯度和完整性较好,能用于Northern杂交、cDNA文库的建立及基因克隆等分子生物学实验,为柑橘的进一步分子生物学研究奠定了基础.
Support Vector Regression Model of Chlorophyll-a during Spring Algal Bloom in Xiangxi Bay of Three Gorges Reservoir, China  [PDF]
Hua-Jun Luo, De-Fu Liu, Ying-Ping Huang
Journal of Environmental Protection (JEP) , 2012, DOI: 10.4236/jep.2012.35052
Abstract: To study the relationship between chlorophyll-a and environmental variables during spring algal bloom in Xiangxi Bay of Three Gorges Reservoir, the support vector regression (SVR) model was established. In surveys, 11 stations have been investigated and 264 samples were collected weekly from March 4 to May 13 in 2007 and February 16 to May 10 in 2008. The parameters in SVR model were optimized by leave one out cross validation. The squared correlation coefficient R2 and the cross validated squared correlation coefficient Q2 of the optimal SVR model are 0.8202 and 0.7301, respectively. Compared with stepwise multiple linear regression and back propagation artificial neural network models using external validation, the SVR model has been shown to perform well for regression with the predictive squared correlation coefficient R2pred value of 0.7842 for the test set.
Entomopathogenic fungal parasites of scale insects and their potential in biological control

XIE Ying-Ping,XUE Jiao-Liang,ZHANG Zhi-Juan,LIU Wei-Min,YANG Qian,FAN Jin-Hua,

菌物学报 , 2012,
Abstract: Scale insects (Hemiptera: Coccoidea) compose a group of important plant pests of agricultural crops, forest plants, ornamental plants and fruit trees. The history of the study of entomopathogenic fungi as a biological insecticide is reviewed according to the three developmental stages: the pioneering stage, the slow development stage, and the prosperity stage. Additionally, the status of this field in China was discussed. A list including approximately 140 species within 55 genera of the recorded fungal pathogens of scale insects in the world was provided. Finally, we provide four suggestions for the development of entomopathogenic fungi in the future.
Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction
Chao-Hong Chen,Ying-ping Chen
Advances in Artificial Intelligence , 2011, DOI: 10.1155/2011/204750
Abstract: We analyze the convergence time of particle swarm optimization (PSO) on the facet of particle interaction. We firstly introduce a statistical interpretation of social-only PSO in order to capture the essence of particle interaction, which is one of the key mechanisms of PSO. We then use the statistical model to obtain theoretical results on the convergence time. Since the theoretical analysis is conducted on the social-only model of PSO, instead of on common models in practice, to verify the validity of our results, numerical experiments are executed on benchmark functions with a regular PSO program. 1. Introduction Particle swarm optimizer (PSO), introduced by [1, 2], is a stochastic population-based algorithm for solving continuous optimization problems. As shown by [3] and by lots of real-world applications, PSO is an efficient and effective optimization framework. Although PSO has been widely applied in many fields [4–7], understanding of PSO from the theoretical point of view is still quite limited. Most of previous theoretical results [8–18] are derived under the system that assumes a fixed attractor or a swarm consisting of a single particle. Due to the lack of theoretical analysis on PSO particle interaction, in this paper, we will make an attempt to analyze the convergence time for PSO on the facet of particle interaction. In particular, we will firstly introduce a statistical interpretation of PSO, proposed by [19], to capture the essence of particle interaction. We will then analyze the convergence time based on the statistical model. Finally, numerical experiments will be conducted to confirm the validity of our theoretical results obtained on simplified PSO, the social-only model, in a normal PSO configuration. In the next section, we will briefly introduce the algorithm of PSO and the statistical interpretation of social-only PSO. In Section 3, we will analyze the convergence time of PSO based on the statistical model. The experimental results are presented in Section 4, followed by Section 5 which concludes this work. 2. Particle Swarm Optimization and the Statistical Interpretation The social-only model of PSO can be described as pseudocode shown in Algorithm 1. In this paper, we will use boldface for vectors, for example, , . Without loss of generality, we assume that the goal is to minimize the objective function. Algorithm 1: Social-only model of PSO. According to Algorithm 1, in the beginning, particles are initialized, where is the swarm size, an algorithmic parameter of PSO. Each particle contains three types of information: its
Beauveria bassiana isolated from pine sawfly and its pathogenicity

LIU Rui,XIE Ying-Ping,ZHAO Chang-Sheng,FAN Jin-Hu,LIU Wei-Min,DONG Jing,XUE Jiao-Liang,

菌物学报 , 2012,
Abstract: Beauveria bassiana strain FDB01 was isolated from naturally diseased pine sawfly, Acantholyda parki, collected from Yitong of Jilin Province in the northeast of China. Its pathogenicity was tested with conidial suspension (2×108conidia/mL) on the two species of pine sawfly, Acantholyda posticalis and Pristiphora erichsonii. The results showed that the strain FDB01 was pathogenic fungus and caused the death of A. parki. Treatment with conidial suspension the mortalities of the larvae of A. posticalis and P. erichsonii reached 94.4% and 100%, respetively in 16d. It indicated that FDB01 is a high virulent strain to pine sawflies.
Hyperpolarization-activated cyclic nucleotide-gated cation channel subtypes differentially modulate the excitability of murine small intestinal afferents
Ying-Ping Wang,Bi-Ying Sun,Qian Li,Li Dong
World Journal of Gastroenterology , 2012, DOI: 10.3748/wjg.v18.i6.522
Abstract: AIM: To assess the role of hyperpolarization-activated cyclic nucleotide-gated cation (HCN) channels in regulating the excitability of vagal and spinal gut afferents. METHODS: The mechanosensory response of mesenteric afferent activity was measured in an ex vivo murine jejunum preparation. HCN channel activity was recorded through voltage and current clamp in acutely dissociated dorsal root ganglia (DRG) and nodose ganglia (NG) neurons retrogradely labeled from the small intestine through injection of a fluorescent marker (DiI). The isoforms of HCN channels expressed in DRG and NG neurons were examined by immunohistochemistry. RESULTS: Ramp distension of the small intestine evoked biphasic increases in the afferent nerve activity, reflecting the activation of low- and high-threshold fibers. HCN blocker CsCl (5 mmol/L) preferentially inhibited the responses of low-threshold fibers to distension and showed no significant effects on the high-threshold responses. The effect of CsCl was mimicked by the more selective HCN blocker ZD7288 (10 μmol/L). In 71.4% of DiI labeled DRG neurons (n = 20) and 90.9% of DiI labeled NG neurons (n = 10), an inward current (Ih current) was evoked by hyperpolarization pulses which was fully eliminated by extracellular CsCl. In neurons expressing Ih current, a typical “sag” was observed upon injection of hyperpolarizing current pulses in current-clamp recordings. CsCl abolished the sag entirely. In some DiI labeled DRG neurons, the Ih current was potentiated by 8-Br-cAMP, which had no effect on the Ih current of DiI labeled NG neurons. Immunohistochemistry revealed differential expression of HCN isoforms in vagal and spinal afferents, and HCN2 and HCN3 seemed to be the dominant isoform in DRG and NG, respectively. CONCLUSION: HCNs differentially regulate the excitability of vagal and spinal afferent of murine small intestine.
Preparation of CdS Nanoparticles with Reverse Micelle Method and Photo-degradation of Malachite Green Dye
HE Yan, WANG Pan, DENG An-Ping, YANG Jing, HUANG Ying-Ping, YANG Yong
无机材料学报 , 2010, DOI: 10.3724/sp.j.1077.2010.10305
Abstract: Cadmium sulfide(CdS) nanoparticles with efficient photocatalytic activity were synthesized using water/CTMAB/n-butyl alcohol/n-heptanes reverse micelle system. The particles exhibited various photocatalytic activities with the different ω values (ω = [Water]/[CTMAB] = 25, 35, 50), and the optimal ω value was 25. Based on the X-ray diffraction (XRD) and transmission electron microscope (TEM) analysis, CdS nanoparticles were ascribed to the cubic sphalerite and the average size of CdS particle (ω=25) was about merely 9nm. Moreover, the ω values could directly affect the particle size and electrical property of CdS nanoparticles by means of cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Under visible light (λ≥420nm) irradiation, Malachite Green (MG) was used as a probe to investigate the effect of preparation conditions on photocatalytic activity of CdS nanoparticles. It can be concluded that MG could fade out within 70min and attain the 50% mineralization after 30h under visible light irradiation, and the degradation process mainly referred to the hydroxyl radical (OH) and H2O2.
Hierarchical Reinforcement Learning Scheduling ofOpen Re-entrant Queueing Network

WANG Li-cun,ZHENG Ying-ping,

系统工程理论与实践 , 2002,
Abstract: In this paper, a hierarchical reinforcement learning algorithm is investigated for Markov decision process with average cost. And it is applied to an open re-entrant manufacturing system composed of two machines as an example. Computer simulation results demonstrate that the algorithm outperforms some well-known heuristic scheduling policies.
Robust control design of linear systems based on model reference and internal model principle

PAN Deng,ZHENG Ying-ping,

控制理论与应用 , 2007,
Abstract: The uncertainties usually deteriorate the performance of the systems.It includes the uncertain parameters and the outside disturbances and so on.With model reference and internal model principle,a structure of robust control systems is built for this kind of linear uncertain systems,and its controllability condition is then analyzed.Its controllability condition can be satisfied by choice of reference model and internal model.On this condition,the robust control design can be converted into the linear quadratic regulator(LQR)problem,and the optimal control theory can also be utilized to compute its feedback control law.The simulation shows that model reference and internal model principle can be integrated into this approach,which can improve the robust stability of the systems,reduce disturbance efficiently and ameliorate its performance.
Optimal Control of Production and Maintenance Rate in a Stochastic Two Machine System

ZHANG Peng,ZHENG Ying-ping,
张 鹏

控制理论与应用 , 2000,
Abstract: In this paper,we study the optimal production rate and the preventive maintenance rate for the two tandem machines system,in which the state transitions of machines were supposed to a Markov process,give the structure of the optimal control policy,offer a heuristic control policy based on the structure properties deduced,and prove the heuristic control policy being near optimal by a simulation.
Page 1 /52872
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.