4,237 research outputs found

    Dual and complex formulations of thin shell equations

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    Dual and mixed formulations of thin shell equations using displacements and stress function

    A dual formulation of thin shell theory

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    Differential equations formulated for stress functions, and thin elastic shell

    On the derivation of Vlasov's shallow shell equations and their application to non shallow shells

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    Derivation of Vlasov shallow shell equations and their application to non-shallow shell

    Analysis of a spherical shell with a non-axisymmetric boundary

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    Spherical shell problem formulated in terms of stress functions, and applied to nonaxisymmetric boundar

    On the maximal number of real embeddings of minimally rigid graphs in R2\mathbb{R}^2, R3\mathbb{R}^3 and S2S^2

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    Rigidity theory studies the properties of graphs that can have rigid embeddings in a euclidean space Rd\mathbb{R}^d or on a sphere and which in addition satisfy certain edge length constraints. One of the major open problems in this field is to determine lower and upper bounds on the number of realizations with respect to a given number of vertices. This problem is closely related to the classification of rigid graphs according to their maximal number of real embeddings. In this paper, we are interested in finding edge lengths that can maximize the number of real embeddings of minimally rigid graphs in the plane, space, and on the sphere. We use algebraic formulations to provide upper bounds. To find values of the parameters that lead to graphs with a large number of real realizations, possibly attaining the (algebraic) upper bounds, we use some standard heuristics and we also develop a new method inspired by coupler curves. We apply this new method to obtain embeddings in R3\mathbb{R}^3. One of its main novelties is that it allows us to sample efficiently from a larger number of parameters by selecting only a subset of them at each iteration. Our results include a full classification of the 7-vertex graphs according to their maximal numbers of real embeddings in the cases of the embeddings in R2\mathbb{R}^2 and R3\mathbb{R}^3, while in the case of S2S^2 we achieve this classification for all 6-vertex graphs. Additionally, by increasing the number of embeddings of selected graphs, we improve the previously known asymptotic lower bound on the maximum number of realizations. The methods and the results concerning the spatial embeddings are part of the proceedings of ISSAC 2018 (Bartzos et al, 2018)

    The Effect Of Corporate Ethical Values On Accountants’ Perceptions Of Social Responsibility

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    Significant research has concluded that corporations have a social responsibility to stakeholders beyond maximizing shareholders’ wealth. The current study examines the relationship between corporate ethical values and the perception of the importance of corporate social responsibility. A total of 583 CPAs in public accounting, industry and academia completed a survey designed to measure the importance of corporate social responsibility on profitability, long-term success and short-term success before Enron and Worldcom declared bankruptcy. The results indicated that CPAs employed in organizations with high (low) ethical values perceived corporate social responsibility to be more (less) important in profitability and long-term success and less (more) important in short-term success of the firm

    Procrastination And Its Relationship With Business Students’ Cheating Perceptions

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    The epidemic of college cheating is evolving to include more sophisticated schemes that are more difficult to detect. Business students’ cheating is even more concerning because such behavior in college predicts workplace cheating (Nonis & Swift, 2001). The current study examines procrastination as a personality variable that affects business students’ perceptions of cheating ethics. A survey of 370 undergraduate and graduate business students was conducted. The results showed that low procrastinators were more likely to view cheating actions as more unethical compared to high procrastinators. Low procrastinators also had higher academic performance
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