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Search Results: 1 - 10 of 28765 matches for " Shen Bin "
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Universal Knowledge Discovery from Big Data: Towards a Paradigm Shift from 'Knowledge Discovery' to 'Wisdom Discovery'
Bin Shen
Computer Science , 2014,
Abstract: Many people hold a vision that big data will provide big insights and have a big impact in the future, and big-data-assisted scientific discovery is seen as an emerging and promising scientific paradigm. However, how to turn big data into deep insights with tremendous value still remains obscure. To meet the challenge, universal knowledge discovery from big data (UKD) is proposed. The new concept focuses on discovering universal knowledge, which exists in the statistical analyses of big data and provides valuable insights into big data. Universal knowledge comes in different forms, e.g., universal patterns, rules, correlations, models and mechanisms. To accelerate big data assisted universal knowledge discovery, a unified research paradigm should be built based on techniques and paradigms from related research domains, especially big data mining and complex systems science. Therefore, I propose an iBEST@SEE methodology. This study lays a solid foundation for the future development of universal knowledge discovery, and offers a pathway to the discovery of "treasure-trove" hidden in big data.
Education Tourism Market in China An Explorative Study in Dalian
Bin Wang,Shen Li
International Journal of Business and Management , 2009, DOI: 10.5539/ijbm.v3n5p44
Abstract: Educational tourism, a burgeoning section in China’s tourism market, has attracted great attention from both industry and researchers, however, the focus always falls on young people, the educational demands of other tourists are largely neglected. The paper, firstly does a comprehensive analysis of situation and problems of Chinese inbound, outbound and domestic education tourism markets, and then, based on an investigation made in Dalian with common residents as subjects, attempts to identify basic characteristics of education tourists demands. In light of information obtained from both supply and demand sides, some useful conclusions are reached, from which derive some marketing policies to cultivate Chinese education tourism markets.
C9orf72 mutation is rare in Alzheimer's disease, Parkinson's disease, and essential tremor in China
Bin Jiao,Lu Shen
Frontiers in Cellular Neuroscience , 2013, DOI: 10.3389/fncel.2013.00164
Abstract: GGGGCC repeat expansions in the C9orf72 gene have been identified as a major contributing factor in patients with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Given the overlapping of clinical phenotypes and pathological characteristics between these two diseases and Alzheimer's disease (AD), Parkinson's disease (PD), and essential tremor (ET), we speculated regarding whether C9orf72 repeat expansions also play a major role in these three diseases. Using the repeat-primed polymerase chain reaction method, we screened for C9orf72 in three groups of patients with PD (n = 911), AD (n = 279), and ET (n = 152) in the Chinese Han population. There were no pathogenic repeats (>30 repeats) detected in either the patients or controls (n = 314), which indicated that the pathogenic expansions of C9orf72 might be rare in these three diseases. However, the analysis of the association between the number of repeats (p = 0.001), short/intermediate genotype (short: <7 repeats; intermediate: ≥7 repeats) (odds ratio 1.37 [1.05, 1.79]), intermediate/intermediate genotype (Odds ratio 2.03 [1.17, 3.54]), and PD risks indicated that intermediate repeat alleles could act as contributors to PD. To the best of our knowledge, this study is the first to reveal the correlation between C9orf72 and Chinese PD, AD, or ET patients. Additionally, the results of this study suggest the novel idea that the intermediate repeat allele in C9orf72 is most likely a risk factor for PD.
Stabilization and Consensus of Linear Systems with Multiple Input Delays by Truncated Pseudo-Predictor Feedback
Bin Zhou,Shen Cong
Mathematics , 2014,
Abstract: This paper provides an alternative approach referred to as pseudo-predictor feedback (PPF) for stabilization of linear systems with multiple input delays. Differently from the traditional predictor feedback which is from the model reduction appoint of view, the proposed PPF utilizes the idea of prediction by generalizing the corresponding results for linear systems with a single input delay to the case of multiple input delays. Since the PPF will generally lead to distributed controllers, a truncated pseudopredictor feedback (TPPF) approach is established instead which gives finite dimensional controllers. It is shown that the TPPF can compensate arbitrarily large yet bounded delays as long as the open-loop system is only polynomially unstable. The proposed TPPF approach is then used to solve the consensus problems for multi-agent systems characterized by linear systems with multiple input delays. Numerical examples show the effectiveness of the proposed approach.
Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms  [PDF]
Kuo-Chen Chou, Hong-Bin Shen
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.210136
Abstract: Cell-PLoc 2.0 is a package of web-servers evolved from Cell-PLoc (Chou, K.C. & Shen, H.B., Nature Protocols, 2008, 2:153-162) by a top-down approach to improve the power for predicting subcellular localization of proteins in various organisms. It contains six predictors: Euk-mPLoc 2.0, Hum-mPLoc 2.0, Plant-mPLoc, Gpos-mPLoc, Gneg-mPLoc, and Virus-mPLoc, specialized for eukaryotic, human, plant, Gram- positive bacterial, Gram-negative bacterial, and virus proteins, respectively. Compared with Cell-PLoc, the predictors in the Cell-PLoc 2.0 have the following advantageous features: (1) they all have the capacity to deal with the multiplex proteins that can simultaneiously exist, or move between, two or more subcellular location sites; (2) no accession number is needed for the input of a query protein even if using the “high- level” GO (gene ontology) prediction engine; (3) the functional domain information and sequential evolution information are fused into the “ab initio” sequence-based prediction engine to enhance its accuracy. In this protocol, a step- to-step guide is provided for how to use the web server predictors in the Cell-PLoc 2.0 package, which is freely accessible to the public at http://www.csbio.sjtu.edu.cn/bioinf/Cell-PLoc-2/.
REVIEW : Recent advances in developing web-servers for predicting protein attributes  [PDF]
Kuo-Chen Chou, Hong-Bin Shen
Natural Science (NS) , 2009, DOI: 10.4236/ns.2009.12011
Abstract: Recent advance in large-scale genome se-quencing has generated a huge volume of pro-tein sequences. In order to timely utilize the in-formation hidden in these newly discovered sequences, it is highly desired to develop com- putational methods for efficiently identifying their various attributes because the information thus obtained will be very useful for both basic research and drug development. Particularly, it would be even more useful and welcome if a user-friendly web-server could be provided for each of these methods. In this minireview, a sy- stematic introduction is presented to highlight the development of these web-servers by our group during the last three years.
Preparation and Characterization of Alumina Nanowires by Catalytic Oxidation
无机材料学报 , 2007, DOI: 10.3724/sp.j.1077.2007.00232
Abstract: Alumina nanowires, amorphous, with diameters from 5 to 15nm, were prepared by catalytic oxidation with mercury as medium. FE-SEM, TEM, EDX, XRD, IR were used to characterize alumina nanowires. With elevation of temperature, oxygen content and purity of aluminium, the alumina nanowires ˉ specific surface area increases. The concentration of HgCl2 solution and the immersing time of aluminium have no apparent influence on alumina nanowires ˉ specific surface area.
Multiple Solutions for a Class of Differential Inclusion System Involving the -Laplacian
Bin Ge,Ji-Hong Shen
Abstract and Applied Analysis , 2012, DOI: 10.1155/2012/971243
Abstract: We consider a differential inclusion system involving the ((),())-Laplacian with Dirichlet boundary condition on a bounded domain and obtain two nontrivial solutions under appropriate hypotheses. Our approach is variational and it is based on the nonsmooth critical point theory for locally Lipschitz functions.
Prediction of protein folding rates from primary sequence by fusing multiple sequential features  [PDF]
Hong-Bin Shen, Jiang-Ning Song, Kuo-Chen Chou
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.23024
Abstract: We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The web- server is called Pred-PFR (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence. The ensemble pre-dictor thus formed is superior to the individual ones, as demonstrated by achieving higher correlation coefficient and lower root mean square deviation between the predicted and observed results when examined by the jack-knife cross-validation on a benchmark dataset constructed recently. As a user-friendly web- server, Pred-PFR is freely accessible to the public at www.csbio.sjtu.edu.cn/bioinf/Folding Rate/.
Cost-effectiveness analysis of different rescue therapies in patients with lamivudine-resistant chronic hepatitis B in China
Wu Bin,Shen Jinfang,Cheng Huafeng
BMC Health Services Research , 2012, DOI: 10.1186/1472-6963-12-385
Abstract: Background Several rescue therapies have been used in patients with lamivudine (LAM)-resistant chronic hepatitis B (CHB); however, the economic outcome of these therapies is unclear. The object of the current analysis was to evaluate the lifetime cost-effectiveness of rescue therapies among patients with LAM-resistant CHB. Methods A Markov model was developed to simulate the clinical course of patients with LAM-resistant CHB. From the perspective of Chinese health care, a lifetime cost-utility analysis was performedfor 4 rescue strategies: adefovir (ADV), entecavir (ETV) or tenofovir (TDF) monotherapy and combination therapy using LAM and ADV. A hypothetical cohort of 45-year-old patients with genotypic or clinical LAM-resistant CHB entered the model, and the beginning health state was LAM-resistant CHB without other complications. The transition probabilities, efficacy and resistance data for each rescue therapy as well as the costs and utility data were estimated from the literature. The discount rate (3%) utilized for costs and benefits. Sensitivity analyses were used to explore the impact of uncertainty on the results. Results In LAM-resistant HBeAg-positive and HBeAg-negative CHB cohorts, TDF monotherapy and combination therapy were on the efficiency frontier for both positive and negative populations. Compared with no treatment, the use of combination therapy cost an additional $6,531.7 to gain 1 additional quality-adjusted life year (QALY) for HBeAg-positive patients and $4,571.7 to gain 1 additional QALY for HBeAg-negative patients. TDF monotherapy for HBeAg-positive patients, shows greater increase in QALYs but higher incremental cost-effectiveness ratio (ICER) in comparison with combination therapy. In probabilistic sensitivity analyses, combination therapy was the preferred option for health care systems with limited health resources, such as Chinese health care system. Conclusion In Chinese patients with LAM-resistant CHB, combination therapy is a more cost-effective option than the competing rescue therapies.
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