14,479 research outputs found

    A Risk Management Model for Merger and Acquisitio

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    In this paper, a merger and acquisition risk management model is proposed for considering risk factors in the merger and acquisition activities. The proposed model aims to maximize the probability of success in merger and acquisition activities by managing and reducing the associated risks. The modeling of the proposed merger and acquisition risk management model is described and illustrated in this paper. The illustration result shows that the proposed model can help to screen the best target company with minimum associated risks in the merger and acquisition activity

    Uncertainty constants and quasispline wavelets

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    In 1996 Chui and Wang proved that the uncertainty constants of scaling and wavelet functions tend to infinity as smoothness of the wavelets grows for a broad class of wavelets such as Daubechies wavelets and spline wavelets. We construct a class of new families of wavelets (quasispline wavelets) whose uncertainty constants tend to those of the Meyer wavelet function used in construction.Comment: 27 page

    Stable local bases for multivariate spline spaces

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    We present an algorithm for constructing stable local bases for the spaces Srd(Δ) of multivariate polynomial splines of smoothness râ©Ÿ1 and degree dâ©Ÿr2n+1 on an arbitrary triangulation Δ of a bounded polyhedral domain Ω⊂n, nâ©Ÿ2

    Functional analysis of plant Mei2-like proteins : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Biochemistry at Massey University, Palmerston North, New Zealand

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    Molecular techniques were used to analyse the function of a novel class of RNA-bindmg proteins in plants, termed Mei2-like. The biochemical function of this class of proteins is unclear Although the conserved presence of three RNA recognition motifs (RRMs) in all members of the family suggests the importance of an RNA binding activity, the precise biochemical mechanism by which these proteins act is unknown. Genetic and molecular analyses of the founding member of the family. Schizosaccharomyces pombe Mei2p, provide of a conceptual framework for the studies of the plant Mei2-like proteins presented here. Therefore, the aims of this thesis were to 1) study the cellular localisation of Mei2p in plant cells, and 2) deduce the functions of plant Mei2-like genes by identifying the protein(s) that physically interact(s) with Mei2-like proteins. Transient expression of GFP-fused Mei2p in onion epidermal cells was performed to show that Mei2p localised into the nucleus in the presence of meiRNA, a non-coding mRNA. Thus plants seem to share the capacity with S. pombe for meiRNA-dependent nuclear localisation of Mei2p. Moreover, intracellular localisation of one of the plant Mei2-like proteins, TERMINAL EAR-Like 2 (TEL2), was studied in onion epidermal cells. The GFP-fused TEL2 localised into the nucleus without co-expression of any special RNA, suggesting that either some RNA species that assist nuclear localisation of TEL2 are already present in onion epidermal cells, or the mechanism of intracellular localisation of TEL2 is different from Mei2p. The yeast two-hybrid system was utilised to identify protein interactors with TEL2. Six proteins were identified, including the well-studied KORRIGAN (KOR) protein. Based on the proteins identified, speculation is offered on how these proteins interact with TEL2. Since TEL genes are expressed in the central zone (CZ) of meristems, and mitotic activity of cells in the CZ is low, TEL2 may be involved in controlling cell division in the CZ via interactions with these proteins

    Pairs of Frequency-based Nonhomogeneous Dual Wavelet Frames in the Distribution Space

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    In this paper, we study nonhomogeneous wavelet systems which have close relations to the fast wavelet transform and homogeneous wavelet systems. We introduce and characterize a pair of frequency-based nonhomogeneous dual wavelet frames in the distribution space; the proposed notion enables us to completely separate the perfect reconstruction property of a wavelet system from its stability property in function spaces. The results in this paper lead to a natural explanation for the oblique extension principle, which has been widely used to construct dual wavelet frames from refinable functions, without any a priori condition on the generating wavelet functions and refinable functions. A nonhomogeneous wavelet system, which is not necessarily derived from refinable functions via a multiresolution analysis, not only has a natural multiresolution-like structure that is closely linked to the fast wavelet transform, but also plays a basic role in understanding many aspects of wavelet theory. To illustrate the flexibility and generality of the approach in this paper, we further extend our results to nonstationary wavelets with real dilation factors and to nonstationary wavelet filter banks having the perfect reconstruction property
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