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Volume Growth (volume + growth)

Distribution by Scientific Domains
Mathematics and Statistics50%

Selected Abstracts

Large mergers and acquisitions of European brewing groups,event study evidence on value creation

AGRIBUSINESS : AN INTERNATIONAL JOURNAL, Issue 3 2007
Oliver Ebneth
Acquisitions have been the growing trend in recent years, giving brewers the opportunity to enhance their degree of internationalization and market share remarkably through diverse one-off deals. Larger brewers are faced with low prospects for volume growth in developed markets leading them to seek growth either via acquisition of other brewers or by aggressive participation in developing markets or both. This study employs event study analysis to examine 31 mergers and acquisitions among leading European brewing groups. Differences regarding the brewers' corporate success can be determined within the European peer group. The results are discussed by additionally comparing the performance of companies that experienced M&As and companies that did not. Managerial implications as well as future research propositions conclude this article. © 2007 Wiley Periodicals, Inc. Agribusiness 23: 377,406, 2007. [source]

Growth of Self-Similar Graphs

JOURNAL OF GRAPH THEORY, Issue 3 2004
B. Krön
Abstract Locally finite self-similar graphs with bounded geometry and without bounded geometry as well as non-locally finite self-similar graphs are characterized by the structure of their cell graphs. Geometric properties concerning the volume growth and distances in cell graphs are discussed. The length scaling factor , and the volume scaling factor , can be defined similarly to the corresponding parameters of continuous self-similar sets. There are different notions of growth dimensions of graphs. For a rather general class of self-similar graphs, it is proved that all these dimensions coincide and that they can be calculated in the same way as the Hausdorff dimension of continuous self-similar fractals: . © 2004 Wiley Periodicals, Inc. J Graph Theory 45: 224,239, 2004 [source]

Quantitative liver function tests in donors and recipients of living donor liver transplantation

LIVER TRANSPLANTATION, Issue 4 2006
Christoph Jochum
The unique ability of the liver to regenerate quickly after resection makes living donor liver transplantation (LDLT) possible. This technique uses the unique ability of the liver to regenerate to full size after partial resection. However, the quality and course of this regeneration process in humans are still widely unexplored. In the present study we investigated the quantitative liver function tests galactose elimination capacity (GEC), indocyanine green half-life (ICG), and lidocaine half-life as markers for the quality of the liver regeneration in the first 3 months after LDLT. In this study, 22 consecutive living liver donors and their corresponding recipients were analyzed at baseline and at 10 and 90 days after LDLT. Six recipients lost their grafts during the study period. We compared donors and recipients at the different time points. After LDLT, GEC decreased (,42.6%) and ICG increased (+50.6%) significantly in donors. ICG and GEC remained significantly altered over 3 months in donors with an improvement between days 10 and 90 (GEC, +59.3%; ICG, ,9.1%). ICG and GEC improved significantly in recipients between days 10 and 90 (ICG, ,63.7%; GEC, +16.3%). The lidocaine half-life showed no significant changes. The donors had better test results and recovered faster than the recipients. In conclusion, after LDLT the parameters for liver capacity and flow remain altered in donors and recipients despite rapid volume growth. Liver Transpl 12:544,549, 2006. © 2006 AASLD. [source]

A Maximum Likelihood-Based Method for Mining Major Genes Affecting a Quantitative Character

BIOMETRICS, Issue 3 2001
Rongling Wu
Summary. In this article, we present a maximum likelihood-based analytical approach for detecting a major gene of large effect on a quantitative trait in a progeny population derived from a mating design. Our analysis is based on a mixed genetic model specifying both major gene and background polygenic inheritance. The likelihood of the data is formulated by combining the information about population behaviors of the major gene during hybridization and its phenotypic distribution densities. The EM algorithm is implemented to obtain maximum likelihood estimates for population and quantitative genetic parameters of the major locus. This approach is applied to detect an overdominant gene governing stem volume growth in a factorial mating design of aspen trees. It is suggested that further molecular genetic research toward mapping single genes affecting aspen growth and production based on the same experimental data has a high probability of success. [source]