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Search Results: 1 - 10 of 120411 matches for " Jianmin Wang "
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Strategic Emerging Industries in China: Literature Review and Research Prospect  [PDF]
Dongbei Xu, Jianmin Wang
American Journal of Industrial and Business Management (AJIBM) , 2015, DOI: 10.4236/ajibm.2015.57049
Abstract: Based on the research articles about the strategic emerging industries in China of Chinese Social Sciences Citation Index (CSSCI) on http://www.cnki.net/ from 2010 to 2014, we analyze the research literature from quantitative and qualitative perspective and prospect the future research directions of the strategic emerging industries in China. The research data shows that the studies on strategic emerging industries in China have developed rapidly these years, the high-level research results are increasingly abundant, but some problems should be further studied. And we believe that the researchers should focus on the empirical studies based on the development of the practices, and make efforts to construct a whole systematic research framework and pay more attention to the studies on strategic human resources.
Diagnosis and Efficacy Improvement of Staff Training in Medium- and Small-Sized Private Enterprises  [PDF]
Lujian Zheng, Jianmin Wang
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.83048
Abstract: Socioeconomic development has intensified inter-enterprise competition and made human resource exploitation extremely important for all enterprises. As a major part of the market economy, private enterprises play an increasingly important role. Staff training, a key step of human resource development, is critical for improving individual performances and overall corporate performance & yield. However, the staff training of medium- and small-sized private enterprises is faced by many problems that restrict the training efficacy. To further diagnose the training-related problems faced by medium- and small-sized private enterprises, here the author analyzed the current situations of staff training in M and identified the problems. Together with relevant knowledge and theories, the author analyzed underlying causes and proposed appropriate suggestions, aiming to provide some references and guidance for improving the training system of M.
Surfactant Surface Tension Effects on Promoting Hydrate Formation: An Experimental Study Using Fluorocarbon Surfactant (Intechem-01) + SDS Composite Surfactant  [PDF]
Lin Zhang, Shidong Zhou, Shuli Wang, Lei Wang, Jianmin Li
Journal of Environmental Protection (JEP) , 2013, DOI: 10.4236/jep.2013.45A005
Abstract:

The investigation of surface tension is a very important task for gas hydrate studying. Surfactants can effectively reduce the surface tension, improve the gas storage capability of hydrate and increase the formation rate, shorten the induction time. The objective of this study were to obtain a better understanding of the role of surface tension on hydrate formation and build gas hydrate models involve surfactant. In this study it was highlighted that the surface tension of Intechem-01 + SDS composite surfactants in natural gas hydrate promotion system and the change rules at different temperatures, concentration and proportion. According to the results of experiment, the surface tension of composite surfactants decreased with the increase of Intechem-01. The best cooperating effect was observed in proportion (Intechem-01 content) of 0.6 - 0.7, where the surface tension was the lowest. In this proportion range, the composite surfactants showed the same effect to pure fluorine carbon surfactant. The study shown the surface tension of composite surfactants decreased with the rise of temperature, and they were in a linear relationship within a certain range. Surface tension of composite surfactants decreased with the increase of surfactant concentration, however, it was no longer decreased above critical micelle concentration (CMC). The fitting equation of surface tension with various factors has been obtained.

A method for finding single-nucleotide polymorphisms with allele frequencies in sequences of deep coverage
Jianmin Wang, Xiaoqiu Huang
BMC Bioinformatics , 2005, DOI: 10.1186/1471-2105-6-220
Abstract: We describe a computational method for finding common SNPs with allele frequencies in single-pass sequences of deep coverage. The method enhances a widely used program named PolyBayes in several aspects. We present results from our method and PolyBayes on eighteen data sets of human expressed sequence tags (ESTs) with deep coverage. The results indicate that our method used almost all single-pass sequences in computation of the allele frequencies of SNPs.The new method is able to handle single-pass sequences of deep coverage efficiently. Our work shows that it is possible to analyze sequences of deep coverage by using pairwise alignments of the sequences with the finished genome sequence, instead of multiple sequence alignments.Information concerning the allele frequencies of single-nucleotide polymorphisms (SNPs) is needed to select an optimal subset of common SNPs for use in association studies [1]. One approach to finding common SNPs with allele frequencies is to generate DNA sequences from a sufficient number of samples in a population. This approach requires that computational methods have an ability to handle thousands of sequences from the same genome location (sequences of deep coverage). In this paper, we describe a computational method for finding common SNPs with allele frequencies in sequences of deep coverage. We present results from the method on human expressed sequence tags (ESTs) of deep coverage, which are currently a major source of DNA sequences of deep coverage. The method is also expected to be useful for finding common mutations in sequences of deep coverage produced in a cancer genome project [2].The PolyBayes program is widely used to find SNPs in redundant DNA sequences [3,4]. It first constructs a multiple sequence alignment based on pairwise alignments of each sequence with a high-quality genomic sequence called an anchor. Then it identifies and removes paralogous sequences that have a high number of observed differences with the anchor s
Fissioned triangular schemes via sharply 3-transitive groups
Jianmin Ma,Kaishun Wang
Mathematics , 2011,
Abstract: n [D. de Caen, E.R. van Dam. Fissioned triangular schemes via the cross-ratio, {Europ. J. Combin.}, 22 (2001) 297-301], de Caen and van Dam constructed a fission scheme $\FT(q+1)$ of the triangular scheme on $\PG(1,q)$. This fission scheme comes from the naturally induced action of $\PGL(2,q)$ on the 2-element subsets of $\PG(1,q)$. The group $\PGL(2,q)$ is one of two infinite families of finite sharply 3-transitive groups. The other such family $\Mq(q)$ is a "twisted" version of $\PGL(2,q)$, where $q$ is an even power of an odd prime. The group $\PSL(2,q)$ is the intersection of $\PGL(2,q)$ and $\Mq(q)$. In this paper, we investigate the association schemes coming from the actions of $\PSL(2,q)$, $\Mq(q)$ and $\PML(2,q)$, respectively. Through the conic model introduced in [H.D.L. Hollmann, Q. Xiang. Association schemes from the actions of $\PGL(2, q) $ fixing a nonsingular conic, {J. Algebraic Combin.}, 24 (2006) 157-193], we introduce an embedding of $\PML(2,q)$ into $\PML(3,q)$. For each of the three groups mentioned above, this embedding produces two more isomorphic association schemes: one on hyperbolic lines and the other on hyperbolic points (via a null parity) in a 3-dimensional orthogonal geometry. This embedding enables us to treat these three isomorphic association schemes simultaneously.
Nonexistence of Exceptional 5-class Association Schemes with Two $Q$-polynomial Structures
Jianmin Ma,Kaishun Wang
Mathematics , 2013,
Abstract: In [H. Suzuki, Association schemes with multiple $Q$-polynomial structures, J. Algebraic Combin. 7 (1998) 181-196], Suzuki gave a classification of association schemes with multiple $Q$-polynomial structures, allowing for one exceptional case which has five classes. In this paper, we rule out the existence of this case. Hence Suzuki's theorem mirrors exactly the well-known counterpart for association schemes with multiple $P$-polynomial structures, a result due to Eiichi Bannai and Etsuko Bannai in 1980.
Four-class Skew-symmetric Association Schemes
Jianmin Ma,Kaishun Wang
Mathematics , 2009,
Abstract: An association scheme is called skew-symmetric if it has no symmetric adjacency relations other than the diagonal one. In this paper, we study 4-class skew-symmetric association schemes. In J. Ma [On the nonexistence of skew-symmetric amorphous association schemes, submitted for publication], we discovered that their character tables fall into three types. We now determine their intersection matrices. We then determine the character tables and intersection numbers for 4-class skew-symmetric pseudocyclic association schemes, the only known examples of which are cyclotomic schemes. As a result, we answer a question raised by S. Y. Song [Commutative association schemes whose symmetrizations have two classes, J. Algebraic Combin. 5(1) 47-55, 1996]. We characterize and classify 4-class imprimitive skew-symmetric association schemes. We also prove that no 2-class Johnson scheme can admit a 4-class skew-symmetric fission scheme. Based on three types of character tables above, a short list of feasible parameters is generated.
Learning Multiple Tasks with Deep Relationship Networks
Mingsheng Long,Jianmin Wang
Computer Science , 2015,
Abstract: Deep neural networks trained on large-scale dataset can learn transferable features that promote learning multiple tasks for inductive transfer and labeling mitigation. As deep features eventually transition from general to specific along the network, a fundamental problem is how to exploit the relationship structure across different tasks while accounting for the feature transferability in the task-specific layers. In this work, we propose a novel Deep Relationship Network (DRN) architecture for multi-task learning by discovering correlated tasks based on multiple task-specific layers of a deep convolutional neural network. DRN models the task relationship by imposing matrix normal priors over the network parameters of all task-specific layers, including higher feature layers and classifier layer that are not transferable safely. By jointly learning the transferable features and task relationships, DRN is able to alleviate the dilemma of negative-transfer in the feature layers and under-transfer in the classifier layer. Empirical evidence shows that DRN yields state-of-the-art classification results on standard multi-domain object recognition datasets.
Estimating the Empirical Null Distribution of Maxmean Statistics in Gene Set Analysis  [PDF]
Xing Ren, Jianmin Wang, Song Liu, Jeffrey C. Miecznikowski
Open Journal of Statistics (OJS) , 2017, DOI: 10.4236/ojs.2017.75053
Abstract: Gene Set Analysis (GSA) is a framework for testing the association of a set of genes and the outcome, e.g. disease status or treatment group. The method replies on computing a maxmean statistic and estimating the null distribution of the maxmean statistics via a restandardization procedure. In practice, the pre-determined gene sets have stronger intra-correlation than genes across sets. This may result in biases in the estimated null distribution. We derive an asymptotic null distribution of the maxmean statistics based on sparsity assumption. We propose a flexible two group mixture model for the maxmean statistics. The mixture model allows us to estimate the null parameters empirically via maximum likelihood approach. Our empirical method is compared with the restandardization procedure of GSA in simulations. We show that our method is more accurate in null density estimation when the genes are strongly correlated within gene sets.
An ERP Study on Decisions between Attractive Females and Money
Jianmin Zeng, Yujiao Wang, Qinglin Zhang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0045945
Abstract: To investigate the neural processes of decision-makings between attractive females and money, we recorded 18 male participants' brain event-related potentials (ERPs) when they performed a novel task of deciding between viewing an attractive female's fuzzy picture in clear and gaining a certain amount of money. Two types of attractive females were included: sexy females and beautiful females. Several new electrophysiological discoveries were obtained as following. First, the beautiful females vs. money task (task B) elicited a larger positive ERP deflection (P2) than the sexy females vs. money task (task S) between 290 and 340 ms, and this probably related to the perception matching process between a visual input and an internal representation or expectation. Second, task S evoked greater negative ERP waves (N2) than task B during the time window of 340–390 ms, and this might relate to response conflict and cognitive monitoring for impulsive tendency. Third, the ERP positivity in task S was larger than task B in the time interval of 550–1000 ms, reflecting that sexy female images may have higher decision value for males than beautiful female images. Fourth, compared with choosing to gain money, choosing to view an attractive female evoked a larger late positive component (LPC) during the same time window, possibly because attractive females are more direct and evolutionarily earlier rewards for males than money amounts.
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