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Search Results: 1 - 10 of 28258 matches for " Peihua Zhu "
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The Conceptual Model of Influencing Factors and Influencing Mechanism on Team Decision-Making Quality Mediated by Information Sharing  [PDF]
Peihua Dai
iBusiness (IB) , 2013, DOI: 10.4236/ib.2013.54015
Abstract:

Searching for the influencing factors on team decision-making quality is the hot issue in academic circles and business circles. Based on summarizing the main influencing factors on team decision-making quality, this thesis divides the main influencing factors into team composition factors and team process factors and researches the internal relationship between them. Targeted at the field decision making, this thesis analyzes the influencing process of the main factors on decision-making quality, and constructs the conceptual model of “influencing factors-information sharing-decision-making quality”. This model not only combines the main influencing factors correctly, but also exposes the “black box” between the influencing factors and decision-making quality in field decision making, which can make up for no relative research for the field decision making in the previous studies.

Bis{1-[(4-methylphenyl)iminomethyl]-2-naphtholato-κ2N,O}nickel(II)
Quanbo Wang,Jianzhuang Jiang,Peihua Zhu
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811010087
Abstract: In the title complex, [Ni(C18H14NO)2], the NiII ion lies on an inversion center and is coordinated in a slightly distorted square-planar environment. The 1-[(4-methylphenyl)iminomethyl]-2-naphtholate ligands are coordinated in a trans arrangement with respect to the N and O atoms. In the symmetry-unique ligand, the dihedral angle between the naphthalene ring system and the benzene ring of the methylphenyl group is 49.03 (7)°.
An orthorhombic polymorph of 1-[(ferrocenyl)(hydroxy)methyl]-1,2-dicarba-closo-dodecaborane
Hongwei Chen,Jinling Miao,Peihua Zhu,Daqi Wang
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536809051903
Abstract: An orthorhombic polymorph of the title compound, [Fe(C5H5)(C8H17B10O)] or C13H22B10FeO, is described here in addition to the known monoclinic polymorph [Crundwell et al. (1999). Acta Cryst. C55, IUC9900087]. The asymmetric unit contains four independent molecules with Ccage–Ccage distances of 1.636 (16)–1.700 (16) , and with the methylhydroxy groups disordered over two positions in each molecule [occupancy ratios 0.80 (2):0.20 (2), 0.59 (3):0.41 (3), 0.60 (2):0.40 (2) and 0.793 (17):0.207 (17)].
Bis{1-[(o-tolyl)iminomethyl]-2-naphtholato}copper(II)
Peihua Zhu,Jiemei Yu,Hongyan Wang,Chunlai Zhang
Acta Crystallographica Section E , 2010, DOI: 10.1107/s160053681003374x
Abstract: In the title complex, [Cu(C18H14NO)2], the CuII ion lies on a crystallographic inversion centre and is bonded to the O- and N-donor atoms of the two bidentate chelate 1-[(o-tolyl)iminomethyl]-2-naphtholate ligands in a trans arrangement. The distorted square-planar geometry about CuII has normal dimensions, with Cu—O = 1.8881 (15) and Cu—N = 1.9804 (17) .
2-[(E)-(2-Chlorophenyl)iminomethyl]-6-methylphenol
Peihua Zhu,Jiemei Yu,Hongyan Wang,Chunlai Zhang
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536810033969
Abstract: The title compound, C14H12ClNO, a Schiff base derived from 3-methylsalicylaldehyde, crystallizes in the phenol–imine tautomeric form with an E conformation for the imine functionality. The molecule is not planar, the dihedral angle between the aromatic rings being 36.38 (5)°. The hydroxy H atom is involved in a strong intramolecular O—H...N hydrogen bond, generating an S(6) ring.
Bis{1-[(4-methylphenyl)iminomethyl]-2-naphtholato-κ2N,O}copper(II)
Peihua Zhu,Hongyan Wang,Yan Wang,Yanli Chen
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536810030667
Abstract: In the title complex, [Cu(C18H14NO)2], the CuII ion lies on an inversion center and is coordinated in a slightly distorted square-planar environment. The 1-[(4-methylphenyl)iminomethyl]-2-naphtholate ligands are coordinated in a trans arrangement with respect to the N and O atoms.
1,3-Dibenzyloxy-5-(bromomethyl)benzene
Peihua Zhu,Yanfang Zhao,Haiyan Chen,Qingtao Cui
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809009672
Abstract: In the title compound, C21H19BrO2, the dihedral angles between the central benzene ring and the two peripheral rings are 50.28 (5) and 69.75 (2)°. The O—CH2 bonds lie in the plane of the central ring and adopt a syn–anti conformation.
The SM extension with color-octet scalars: diphoton enhancement and global fit of LHC Higgs data
Junjie Cao,Peihua Wan,Jin Min Yang,Jingya Zhu
Physics , 2013, DOI: 10.1007/JHEP08(2013)009
Abstract: In light of the significant progress of the LHC to determine the properties of the Higgs boson, we investigate the capability of the Manohar-Wise model in explaining the Higgs data. This model extends the SM by one family of color-octet and isospin-doublet scalars, and it can sizably alter the coupling strengths of the Higgs boson with gluons and photons. We first examine the current constraints on the model, which are from unitarity, the LHC searches for the scalars and the electroweak precision data (EWPD).In implementing the unitarity constraint, we use the properties of the SU(3) group to simplify the calculation. Then in the allowed parameter space we perform a fit of the model, using the latest ATLAS and CMS data, respectively. We find that the Manohar-Wise model is able to explain the data with \chi^2 significantly smaller than the SM value. We also find that the current Higgs data, especially the ATLAS data, are very powerful in further constraining the parameter space of the model. In particular, in order to explain the diphoton enhancement reported by the ATLAS collaboration, the sign of the hgg coupling is usually opposite to that in the SM.
Tensor-SIFT based Earth Mover's Distance for Contour Tracking
Peihua Li
Mathematics , 2010,
Abstract: Contour tracking in adverse environments is a challenging problem due to cluttered background, illumination variation, occlusion, and noise, among others. This paper presents a robust contour tracking method by contributing to some of the key issues involved, including (a) a region functional formulation and its optimization; (b) design of a robust and effective feature; and (c) development of an integrated tracking algorithm. First, we formulate a region functional based on robust Earth Mover's distance (EMD) with kernel density for distribution modeling, and propose a two-phase method for its optimization. In the first phase, letting the candidate contour be fixed, we express EMD as the transportation problem and solve it by the simplex algorithm. Next, using the theory of shape derivative, we make a perturbation analysis of the contour around the best solution to the transportation problem. This leads to a partial differential equation (PDE) that governs the contour evolution. Second, we design a novel and effective feature for tracking applications. We propose a dimensionality reduction method by tensor decomposition, achieving a low-dimensional description of SIFT features called Tensor-SIFT for characterizing local image region properties. Applicable to both color and gray-level images, Tensor-SIFT is very distinctive, insensitive to illumination changes, and noise. Finally, we develop an integrated algorithm that combines various techniques of the simplex algorithm, narrow-band level set and fast marching algorithms. Particularly, we introduce an inter-frame initialization method and a stopping criterion for the termination of PDE iteration. Experiments in challenging image sequences show that the proposed work has promising performance.
Blind Deconvolution for Jump-Preserving Curve Estimation
Xingfang Huang,Peihua Qiu
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/350849
Abstract: In many applications, observed signals are contaminated by both random noise and blur. This paper proposes a blind deconvolution procedure for estimating a regression function with possible jumps preserved, by removing both noise and blur when recovering the signals. Our procedure is based on three local linear kernel estimates of the regression function, constructed from observations in a left-side, a right-side, and a two-side neighborhood of a given point, respectively. The estimated function at the given point is then defined by one of the three estimates with the smallest weighted residual sum of squares. To better remove the noise and blur, this estimate can also be updated iteratively. Performance of this procedure is investigated by both simulation and real data examples, from which it can be seen that our procedure performs well in various cases.
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