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Search Results: 1 - 10 of 21746 matches for " LUO Fei "
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network  [PDF]
Zhonghua Fei, Dinggui Luo, Bo Li
Journal of Water Resource and Protection (JWARP) , 2012, DOI: 10.4236/jwarp.2012.47063
Abstract: Based on MATLAB, a new model-BRF network model is founded to be used in groundwater dynamic simulation and prediction. It is systematically studied about the training sample set, testing sample set, the pretreatment of the original data, neural network construction, training, testing and evaluating the entire process. A favorable result is achieved by applying the model to simulate and predict groundwater dynamics, which shows this new method is precise and scientific.
Corporate Governance, Institutional Environment, Behavioral Corporate Finance and Inefficient Investment  [PDF]
Qi-An Luo, Hong-Fei Ye
Journal of Service Science and Management (JSSM) , 2015, DOI: 10.4236/jssm.2015.83046
Abstract: This paper is the literature review of extensive literature about how inefficient investment is influenced. It discusses in three factors: corporate governance, institutional environment and behavioral corporate finance. Academics concern how the conflicts of shareholders and creditors, shareholders and managers, controlling shareholders and minority shareholders cause inefficient investment through the game. However, an enterprise is not isolated, it operates in various connections with external institutional environment. Academics interest in how formal institution such as legal environment, financial system, government intervention and informal institution like political connection impact inefficient investment. Besides, human behaviors have certain social and individual psychology background, then the crossover study of corporate finance and psychology gradually becomes a cutting-edge issue. The paper concludes the effects of investor psychology on inefficient investment by classifying psychological bias derived from investment decisions, investment execution and investment performance feedback.
Iterative Reweighted l1 Penalty Regression Approach for Line Spectral Estimation  [PDF]
Fei Ye, Xian Luo, Wanzhou Ye
Advances in Pure Mathematics (APM) , 2018, DOI: 10.4236/apm.2018.82008
Abstract: In this paper, we proposed an iterative reweighted l1penalty regression approach to solve the line spectral estimation problem. In each iteration process, we first use the ideal of Bayesian lasso to update the sparse vectors; the derivative of the penalty function forms the regularization parameter. We choose the anti-trigonometric function as a penalty function to approximate the?l0 norm. Then we use the gradient descent method to update the dictionary parameters. The theoretical analysis and simulation results demonstrate the effectiveness of the method and show that the proposed algorithm outperforms other state-of-the-art methods for many practical cases.
Marek’s disease virus challenge induced immune-related gene expression and chicken repeat 1 (CR1) methylation alterations in chickens  [PDF]
Fei Tian, Juan Luo, Huanmin Zhang, Shuang Chang, Jiuzhou Song
American Journal of Molecular Biology (AJMB) , 2012, DOI: 10.4236/ajmb.2012.23024
Abstract: Marek’s disease virus (MDV) challenge induces lymphoma in susceptible chickens. Host genes, especially immune related genes, are activated by the virus. DNA methylation is an epigenetic mechanism that governs gene transcription. In the present study, we found that expression of signal transducer and activator of transcription 1 (STAT1) was upregulated at 10 days post infection (dpi) in MD susceptible chickens, whereas interleukin 12A (IL12A) was elevated in both resistant and susceptible chickens. However, we did not observe MDV-induced DNA methylation variations at the promoter CpG islands (CGIs) in STAT1 and IL12A. Interestingly, the methylation levels at Chicken Repeat 1 (CR1), the transposable elements (TEs) located upstream of two genes, were different between resistant and susceptible chickens. Furthermore, a mutation was identified in the CR1 element near IL12A. The impact of the point mutation in transcriptional factor binding is to be examined in the near future.
Atmospheric Environmental Quality Assessment RBF Model Based on the MATLAB  [PDF]
Zhonghua Fei, Dinggui Luo, Zhefei He, Bo Li
Journal of Environmental Protection (JEP) , 2012, DOI: 10.4236/jep.2012.37081
Abstract: A new method-RBF model is found to assess the atmospheric quality by use of the PREMNMX function in MATLAB to pretreat the original data and the RAND function to construct enough training samples, checking samples and outputs of their targets through linear interpolation between grades of the atmospheric quality evaluation standard. A favorable assessment result is achieved by applying this method to assess atmospheric environmental quality in a city, which shows this new method is meaningful in improving the precision and scientificity of atmospheric environmental quality assessment.
Design, Synthesis and Inhibitory Properties against Coxsackie B3/B6 of Some Novel Triazole Derivatives  [PDF]
Dongping Shao, Yanbing Yang, Fei Xue, Xianjin Luo, Reyila Wubulikasimu, Yuhuan Li, Rongmei Gao, Weidong Ye
International Journal of Organic Chemistry (IJOC) , 2013, DOI: 10.4236/ijoc.2013.31A005

A series of 1,2,4-triazole derivatives were synthesized, and their abilities to inhibit the in vitro replication of Coxsackie B3/B6 were evaluated. Among the 1,2,4-triazole derivatives, compound 3 g displayed potent activity, with a high antiviral potency (IC50 = 1.71 μM (against CVB3), 1.43 μM (against CVB6)). The structures of all the new synthesized compounds were confirmed by 1H-NMR spectra, mass spectra and elemental analyses.

The development of silicate matrix phosphors with broad excitation band for phosphor-convered white LED
XiXian Luo,WangHe Cao,Fei Sun
Chinese Science Bulletin , 2008, DOI: 10.1007/s11434-008-0392-4
Abstract: This paper briefly reviews the recent progress in alkaline earth silicate host luminescent materials with broad excitation band for phosphor-convered white LED. Among them, the Sr-rich binary phases (Sr, Ba, Ca, Mg)2SiO4:Eu2+ and (Sr, Ba, Ca, Mg)3SiO5:Eu2+ are excellent phosphors for blue LED chip white LED. They have very broad excitation bands and exhibit strong absorption of blue radiation in the range of 450–480 nm. And they exhibit green and yellow-orange emission under the InGaN blue LED chip radiation, respectively. The luminous efficiency of InGaN-based (Sr, Ba, Ca, Mg)2SiO4:Eu2+ and (Sr, Ba, Ca, Mg)3SiO5:Eu2+ is about 70–80 lm/W, about 95%–105% that of the InGaN-based YAG:Ce, while the correlated color temperature is between 4600–11000 K. Trinary alkaline earth silicate host luminescent materials MO(M=Sr, Ca, Ba)-Mg(Zn)O-SiO2 show strong absorption of deep blue/near-ultraviolet radiation in the range of 370–440 nm. They can convert the deep blue/near-ultraviolet radiation into blue, green, and red emissions to generate white light. The realization of high-performance white-light LEDs by this approach presents excellent chromaticity and high color rendering index, and the application disadvantages caused by the mixture of various matrixes can be avoided. Moreover, the application prospects and the trends of research and development of alkaline earth silicate phosphors are also discussed.
Life Cycles of Blocking Flows Associated with Synoptic-Scale Eddies: Observed Results and Numerical Experiments

Luo Dehai,Li Jianping,Huang Fei,
Luo Dehai
,Li Jianping,Huang Fei

大气科学进展 , 2002,
Abstract: An observational study is presented to confirm that the life cycle of blocking associated with synoptic-scale eddies is a transfer process between dispersion and nondispersion. In addition, numerical experiments are conducted. It is found that the synoptic-scale eddies seem to play a dominant role in the amplification of blocking, while the topography effect appears to play a phase-locking role. At the same time,the synoptic eddies tend to split into two branches during the onset of blocking. This supports the observational results obtained.
An architectural model for intelligent network management
An Architectural Model for Intelligent Network Management

Luo Junzhou,Gu Guanqun,Fei Xiang,
LUO Junzhou
,GU Guanqun,FEI Xiang

计算机科学技术学报 , 2000,
Abstract: Traditional network management approach involves the management of each vendor’s equipment and network segment in isolation through its own proprietary element management system. It is necessary to set up a new network management architecture that calls for operation consolidation across vendor and technology boundaries. In this paper, an architectural model for Intelligent Network Management (INM) is presented. The INM system includes a manager system, which controls all subsystems and coordinates different management tasks; an expert system, which is responsible for handling particularly difficult problems, and intelligent agents, which bring the management closer to applications and user requirements by spreading intelligent agents through network segments or domain. In the expert system model proposed, especially an intelligent fault management system is given. The architectural model is to build the INM system to meet the need of managing modern network systems. This work is supported by Jiangsu Provincial Natural Science Foundation of China, National “863” High-Tech Programme and National “973” Fundamental Research Programme of China. LUO Junzhou is a Professor of Dept. of Computer Science and Engineering, Southeast University, the secretary-general of Petri Net Committee of China Computer Federation, an active member of New York Academy of Science. His current research interests include Petri net based protocol engineering, computer network, and concurrent engineering. GU Guanqun is the President of Southeast University, a member of the Chinese Academy of Engineering, and a member of CIMS Expert Group of National “863” Program. His current research interests include high-performance network, protocol engineering, intelligent computer network, and computer integrated manufacturing (CIM). FEI Xiang received his B.Eng. and M.Eng. degrees from Dept. of Control Engineering, Southeast University, Nanjing, China in 1992 and 1995, respectively. He is currently working towards the Ph.D. degree from Dept. of Computer Science and Engineering, Southeast University. His research interests include high-speed computer network, protocol engineering and knowledge based network resource management and scheduling.
Adult-Age Inflammatory Pain Experience Enhances Long-Term Pain Vigilance in Rats
Sheng-Guang Li, Jin-Yan Wang, Fei Luo
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0036767
Abstract: Background Previous animal studies have illustrated a modulatory effect of neonatal pain experience on subsequent pain-related behaviors. However, the relationship between chronic pain status in adulthood and future pain perception remains unclear. Methodology/Principal Findings In the current study, we investigated the effects of inflammatory pain experience on subsequent formalin-evoked pain behaviors and fear conditioning induced by noxious stimulation in adult rats. Our results demonstrated an increase of the second but not the first phase of formalin-induced pain behaviors in animals with a history of inflammatory pain that have recovered. Similarly, rats with persistent pain experience displayed facilitated acquisition and prolonged retention of pain-related conditioning. These effects of prior pain experience on subsequent behavior were prevented by repeated morphine administration at an early stage of inflammatory pain. Conclusions/Significance These results suggest that chronic pain diseases, if not properly and promptly treated, may have a long-lasting impact on processing and perception of environmental threats. This may increase the susceptibility of patients to subsequent pain-related disorders, even when chronic pain develops in adulthood. These data highlight the importance of treatment of chronic pain at an early stage.
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