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Search Results: 1 - 10 of 1289 matches for " Guorui Bian "
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Robust estimation in Capital Asset Pricing Model
Wing-Keung Wong,Guorui Bian
Advances in Decision Sciences , 2000, DOI: 10.1155/s1173912600000043
Abstract: Bian and Dickey (1996) developed a robust Bayesian estimator for the vector of regression coefficients using a Cauchy-type g-prior. This estimator is an adaptive weighted average of the least squares estimator and the prior location, and is of great robustness with respect to at-tailed sample distribution. In this paper, we introduce the robust Bayesian estimator to the estimation of the Capital Asset Pricing Model (CAPM) in which the distribution of the error component is well-known to be flat-tailed. To support our proposal, we apply both the robust Bayesian estimator and the least squares estimator in the simulation of the CAPM and in the analysis of the CAPM for US annual and monthly stock returns. Our simulation results show that the Bayesian estimator is robust and superior to the least squares estimator when the CAPM is contaminated by large normal and/or non-normal disturbances, especially by Cauchy disturbances. In our empirical study, we find that the robust Bayesian estimate is uniformly more efficient than the least squares estimate in terms of the relative efficiency of one-step ahead forecast mean square error, especially for small samples.
A Personalized Recommendation Algorithm Based on Associative Sets  [PDF]
Guorui JIANG, Hai QING, Tiyun HUANG
Journal of Service Science and Management (JSSM) , 2009, DOI: 10.4236/jssm.2009.24048
Abstract: During the process of personalized recommendation, some items evaluated by users are performed by accident, in other words, they have little correlation with users’ real preferences. These irrelevant items are equal to noise data, and often interfere with the effectiveness of collaborative filtering. A personalized recommendation algorithm based on Associative Sets is proposed in this paper to solve this problem. It uses frequent item sets to filter out noise data, and makes recommendations according to users’ real preferences, so as to enhance the accuracy of recommending results. Test results have proved the superiority of this algorithm.
Quantum-Inspired Bee Colony Algorithm  [PDF]
Guorui Li, Mu Sun, Panchi Li
Open Journal of Optimization (OJOp) , 2015, DOI: 10.4236/ojop.2015.43007
Abstract: To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.
Noncoding RNA in Oncogenesis: A New Era of Identifying Key Players
Guorui Deng,Guangchao Sui
International Journal of Molecular Sciences , 2013, DOI: 10.3390/ijms140918319
Abstract: New discoveries and accelerating progresses in the field of noncoding RNAs (ncRNAs) continuously challenges our deep-rooted doctrines in biology and sometimes our imagination. A growing body of evidence indicates that ncRNAs are important players in oncogenesis. While a stunning list of ncRNAs has been discovered, only a small portion of them has been examined for their biological activities and very few have been characterized for the molecular mechanisms of their action. To date, ncRNAs have been shown to regulate a wide range of biological processes, including chromatin remodeling, gene transcription, mRNA translation and protein function. Dysregulation of ncRNAs contributes to the pathogenesis of a variety of cancers and aberrant ncRNA expression has a high potential to be prognostic in some cancers. Thus, a new cancer research era has begun to identify novel key players of ncRNAs in oncogenesis. In this review, we will first discuss the function and regulation of miRNAs, especially focusing on the interplay between miRNAs and several key cancer genes, including p53, PTEN and c-Myc. We will then summarize the research of long ncRNAs (lncRNAs) in cancers. In this part, we will discuss the lncRNAs in four categories based on their activities, including regulating gene expression, acting as miRNA decoys, mediating mRNA translation, and modulating protein activities. At the end, we will also discuss recently unraveled activities of circular RNAs (circRNAs).
Hierarchical Latent Semantic Mapping for Automated Topic Generation
Guorui Zhou,Guang Chen
Computer Science , 2015,
Abstract: Much of information sits in an unprecedented amount of text data. Managing allocation of these large scale text data is an important problem for many areas. Topic modeling performs well in this problem. The traditional generative models (PLSA,LDA) are the state-of-the-art approaches in topic modeling and most recent research on topic generation has been focusing on improving or extending these models. However, results of traditional generative models are sensitive to the number of topics K, which must be specified manually. The problem of generating topics from corpus resembles community detection in networks. Many effective algorithms can automatically detect communities from networks without a manually specified number of the communities. Inspired by these algorithms, in this paper, we propose a novel method named Hierarchical Latent Semantic Mapping (HLSM), which automatically generates topics from corpus. HLSM calculates the association between each pair of words in the latent topic space, then constructs a unipartite network of words with this association and hierarchically generates topics from this network. We apply HLSM to several document collections and the experimental comparisons against several state-of-the-art approaches demonstrate the promising performance.
Geospatial Information Service Based on Ad Hoc Network  [PDF]
Fuling BIAN, Yun ZHANG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.22013
Abstract: The mobile geospatial information service involves the domain of mobile communication, mobile computing, geospatial information service and other techniques. This paper focuses on the integration of spatial information and mobile communication technologies. The author proposes the architecture of mobile geospatial information service based on the Ad Hoc network. On the basis of this architecture, a system is developed, and applied in correlative fields.
A QoS-aware Method for Web Services Discovery  [PDF]
Bian WU, Xincai WU
Journal of Geographic Information System (JGIS) , 2010, DOI: 10.4236/jgis.2010.21008
Abstract: The non-functional QoS (quality of service) information helps us to select a proper Web-service from the web applications, by using component services such as UDDI[1](Universal Description, Discovery, and Integration) and MDS(Monitoring and Discovery System). MDS is a suite of web services to monitor and discover resources and service on Grids, but MDS only based on function aspects. This paper studies on an approach to provide the QoS information and a discovery model by using MDS and gives a system deployment and implementation plan. The simulation results show that the method is effective in service discovery.
Calculation of Thermal Stress and Fatigue Life of 1000 MW Steam Turbine Rotor  [PDF]
Shuang Bian, Wenyao Li
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B281

The paper calculated the temperature and stress fields of 1000 MW ultra-supercritical steam turbine rotors which start in cold condition using the finite element calculation program (ANSYS). After getting rotor stress field, the paper use the general slope method to estimate the low cycle fatigue life loss, the rest of the conditions can be calculated in this method.

Network Misconduct of College Students and Regulatory Emotional Self-Efficacy  [PDF]
Huiying Liu, Bian Du
Open Journal of Social Sciences (JSS) , 2014, DOI: 10.4236/jss.2014.25023
Abstract: Purposes: Analyze characteristics of network misconduct of college students and study its correlation with regulatory emotional self-efficacy through scale survey of network misconduct of college students. Methods: Conduct the test on 1321 college students by using the scale of network misconduct and regulatory emotional self-efficacy of college students. SPSS was used to compile effective data. Statistical analysis was made using descriptive statistics, independent sample t test and one-way analysis of variance. Results: 1) M ± SD for network words anomie, study anomie and infringement are: 8.76 ± 2.07; 7.40 ± 2.17; 5.21 ± 2.16. 2) There are significant differences of network misconduct of college students on genders, education levels, majors and grades. (t = 12.510, p < 0.001; t = 50.957, P < 0.001; t = 23.840, p < 0.001; t = 28.576, P < 0.001). 3) Conclusions of significantly negative correlation between regulatory emotional self-efficacy and network misconduct (r = -0.134, p < 0.01). For college student, network misconduct includes network words anomie, study anomie and infringement behavior, among which, network words anomie is more prominent; and self-efficacy concerning college students’ emotion regulation has significantly negative correlation with network misconduct.

Wu Guorui,

生态学报 , 1984,
Abstract: The brown planthopper (BPH) can not hibernate in the paddy rice fields of Zhejiang Province as we observed previously, so its population is increased fundamentally by the immigrants.In order to survey the macropterous adults' immigration,we set up a group of net traps directed to S,SW, W,NW, N,NE,Eand SE respectively on the top of a high mountain, 28°43'N, altitrde 1338 m in Quizhou County ard another group in Zhoushan archipelago, 30°N, 122°20'E, 271m. Observations started from 1977 to 1983 have shewn that...
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