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Search Results: 1 - 10 of 8011 matches for " Wenqin Cui "
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An Empirical Study on the Effects of Equity Incentive of the Listed Corporations in the SME Board of China
—An Empirical Analysis Based on the View of Earnings Management

Lixin Xu, Wenqin Cui
Technology and Investment (TI) , 2014, DOI: 10.4236/ti.2014.51004

Currently, most researches are focusing on Shanghai & Shenzhen exchange, and few researches have been done on the SME board. Besides, while studying the effect of equity incentive, most of the researchers have ignored the earnings management triggered by stock ownership incentive. This paper takes the SME board companies which have implemented stock ownership incentive as the research object. We have used earnings management to modify the company performance and carried out an empirical research to study the effect of stock ownership incentive. Our result shows that without earnings management to modify the company performance, stock ownership incentive is positively related to company performance. Taking the earnings management into account, the positive correlation relationship between stock ownership incentive and company performance will be weakened, and stock ownership incentive will stimulate earnings management.

Recent Heavy Flavor Results at RHIC
Wenqin Xu
Physics , 2011, DOI: 10.1143/PTPS.193.75
Abstract: We summarize the recent experimental results of heavy favor physics from the Relativistic Heavy Ion Collider (RHIC) in Brookhaven National Lab (BNL) at Long Island, New York, USA.We will discuss the directly reconstructed open charm mesons as well as electrons from heavy favor hadron decays. The charm and bottom quark production cross-sections have also been measured. We will also discuss JPsi and Upsilon states in p+p and heavy ion collisions. The studies described here were carried out and reported by the STAR and PHENIX collaborations at RHIC.
Electrical Impedance Tomography Image Reconstruction Using Iterative Lavrentiev and L-Curve-Based Regularization Algorithm  [PDF]
Wenqin WANG, Jingye CAI, Lian YANG
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2010, DOI: 10.4236/jemaa.2010.21007
Abstract: Electrical impedance tomography (EIT) is a technique for determining the electrical conductivity and permittivity distribution inside a medium from measurements made on its surface. The impedance distribution reconstruction in EIT is a nonlinear inverse problem that requires the use of a regularization method. The generalized Tikhonov regularization methods are often used in solving inverse problems. However, for EIT image reconstruction, the generalized Tikhonov regularization methods may lose the boundary information due to its smoothing operation. In this paper, we propose an iterative Lavrentiev regularization and L-curve-based algorithm to reconstruct EIT images. The regularization parameter should be carefully chosen, but it is often heuristically selected in the conventional regularization-based reconstruction algorithms. So, an L-curve-based optimization algorithm is used for selecting the Lavrentiev regularization parameter. Numerical analysis and simulation results are performed to illustrate EIT image reconstruction. It is shown that choosing the appropriate regularization parameter plays an important role in reconstructing EIT images.
High-Throughput Sequencing of Three Lemnoideae (Duckweeds) Chloroplast Genomes from Total DNA
Wenqin Wang, Joachim Messing
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0024670
Abstract: Background Chloroplast genomes provide a wealth of information for evolutionary and population genetic studies. Chloroplasts play a particularly important role in the adaption for aquatic plants because they float on water and their major surface is exposed continuously to sunlight. The subfamily of Lemnoideae represents such a collection of aquatic species that because of photosynthesis represents one of the fastest growing plant species on earth. Methods We sequenced the chloroplast genomes from three different genera of Lemnoideae, Spirodela polyrhiza, Wolffiella lingulata and Wolffia australiana by high-throughput DNA sequencing of genomic DNA using the SOLiD platform. Unfractionated total DNA contains high copies of plastid DNA so that sequences from the nucleus and mitochondria can easily be filtered computationally. Remaining sequence reads were assembled into contiguous sequences (contigs) using SOLiD software tools. Contigs were mapped to a reference genome of Lemna minor and gaps, selected by PCR, were sequenced on the ABI3730xl platform. Conclusions This combinatorial approach yielded whole genomic contiguous sequences in a cost-effective manner. Over 1,000-time coverage of chloroplast from total DNA were reached by the SOLiD platform in a single spot on a quadrant slide without purification. Comparative analysis indicated that the chloroplast genome was conserved in gene number and organization with respect to the reference genome of L. minor. However, higher nucleotide substitution, abundant deletions and insertions occurred in non-coding regions of these genomes, indicating a greater genomic dynamics than expected from the comparison of other related species in the Pooideae. Noticeably, there was no transition bias over transversion in Lemnoideae. The data should have immediate applications in evolutionary biology and plant taxonomy with increased resolution and statistical power.
Analysis of ADP-glucose pyrophosphorylase expression during turion formation induced by abscisic acid in Spirodela polyrhiza (greater duckweed)
Wenqin Wang, Joachim Messing
BMC Plant Biology , 2012, DOI: 10.1186/1471-2229-12-5
Abstract: To begin a characterization of the transition from the growth to the dormant phase we used abscisic acid (ABA), a plant hormone, to induce controlled turion formation in Spirodela polyrhiza and investigated their differentiation from fronds, representing their growth phase, into turions with respect to morphological, ultra-structural characteristics, and starch content. Turions were rich in anthocyanin pigmentation and had a density that submerged them to the bottom of liquid medium. Transmission electron microscopy (TEM) of turions showed in comparison to fronds shrunken vacuoles, smaller intercellular space, and abundant starch granules surrounded by thylakoid membranes. Turions accumulated more than 60% starch in dry mass after two weeks of ABA treatment. To further understand the mechanism of the developmental switch from fronds to turions, we cloned and sequenced the genes of three large-subunit ADP-glucose pyrophosphorylases (APLs). All three putative protein and exon sequences were conserved, but the corresponding genomic sequences were extremely variable mainly due to the invasion of miniature inverted-repeat transposable elements (MITEs) into introns. A molecular three-dimensional model of the SpAPLs was consistent with their regulatory mechanism in the interaction with the substrate (ATP) and allosteric activator (3-PGA) to permit conformational changes of its structure. Gene expression analysis revealed that each gene was associated with distinct temporal expression during turion formation. APL2 and APL3 were highly expressed in earlier stages of turion development, while APL1 expression was reduced throughout turion development.These results suggest that the differential expression of APLs could be used to enhance energy flow from photosynthesis to storage of carbon in aquatic plants, making duckweeds a useful alternative biofuel feedstock.Duckweed is an aquatic plant seen on water surfaces in many locations in the world. Because it consists mainly of a
STAR Measurements of Bottom to Charm Ratio and Heavy Quark Interaction with the QCD Medium through Non-Photonic Electron-Hadron Correlations
Wenqin Xu for the STAR Collaboration
Physics , 2011, DOI: 10.1088/0954-3899/38/12/124066
Abstract: We present STAR measurements of relative charm and bottom contributions to NPE from $p+p$ collisions at $\sqrt{s}$= 200 and 500 GeV energies. We report the total bottom quark production cross section from p+p collisions at $\sqrt{s}= 200$ GeV extracted from NPE spectrum and B to D ratios. We also present the NPE-hadron azimuthal correlations from $Au+Au$ collisions at $\sqrtsNN = 200$ GeV from the 2010 RHIC run where we have collected high statistics data set with low photonic conversion background.
The High Transverse Momentum Non-Photonic Electron Measurements in $Au+Au$ collisions at $\sqrt {S_{NN}} = 200$ GeV at RHIC/STAR
Wenqin Xu for the STAR Collaboration
Physics , 2011,
Abstract: We present preliminary results of Non-Photonic Electron (NPE) production, NPE-hadron azimuthal correlation as well as NPE elliptic flow studies at midrapidity using a data set with high statistics and low photon conversion background from $Au+Au$ collisions at $\sqrt {S_{NN}} = 200$ GeV collected at RHIC in Run 2010.
朱文琴 Zhu Wenqin
大气科学 , 1982, DOI: 10.3878/j.issn.1006-9895.1982.02.14
Abstract: 本文对我国北京附近三个地方的气溶胶粒子浓度的观测资料进行了分析研究,并分别用Junge分布和Deirmendjian分布分段进行拟合,这样拟合精度较高且能反映不同半径范围内气溶胶粒子的分布特征。
Bayesian Factorized Cointegration Analysis  [PDF]
Kai Cui, Wenshan Cui
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.25065
Abstract: The concept of cointegration is widely used in applied non-stationary time series analysis to describe the co-movement of data measured over time. In this paper, we proposed a Bayesian model for cointegration test and analysis, based on the dynamic latent factor framework. Efficient computational algorithms are also developed based on Markov Chain Monte Carlo (MCMC). Performance and efficiency of the the model and approaches are assessed by simulated and real data analysis.
Spike-and-Slab Dirichlet Process Mixture Models  [PDF]
Kai Cui, Wenshan Cui
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.25066
Abstract: In this paper, Spike-and-Slab Dirichlet Process (SS-DP) priors are introduced and discussed for non-parametric Bayesian modeling and inference, especially in the mixture models context. Specifying a spike-and-slab base measure for DP priors combines the merits of Dirichlet process and spike-and-slab priors and serves as a flexible approach in Bayesian model selection and averaging. Computationally, Bayesian Expectation-Maximization (BEM) is utilized to obtain MAP estimates. Two simulated examples in mixture modeling and time series analysis contexts demonstrate the models and computational methodology.
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