211 research outputs found

    Osservazioni sull'onomastica in alcune opere teatrali di Frisch, Fassbinder, Wiesel e Mitterer

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    Several Jewish figures that appear in four contemporary theatre plays are interesting for diverse reasons and under different aspects. This onomastic investigation focuses on the works of the German Rainer Werner Fassbinder’s Der Müll, die Stadt und der Tod, the Swiss Max Frisch’s Andorra, the American Elie Wiesel’s Le procès de Shamgorod and the Austrian Felix Mitterer’s Kein schöner Land. The names of the – de facto or supposed – Jewish protagonists will be taken under examination, as well as other relevant anthroponyms and toponyms. Among some bizarre given and family names present in his play, Fassbinder doesn’t give a name to his Jewish character: his choice led to a huge controversy. Frisch’s Andri is not Jewish by birth, but those around him are convinced of that, and this aspect is reflected in his first name; not only Andorra, also the toponyms in Wiesel’s play deserve an examination. Finally, among the functions fulfilled by various names in Kein schöner Land, one choice the author makes draws our attention

    A confocal beam scanning white-light microscope

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    We report on a confocal beam scanning microscope utilizing a continuous Xe short-arc lamp operating in the visible spectrum with unprecedented radiance. Measurements of lateral and vertical resolution will be presented and compared with those of an equivalent scanning laser microscope. Resolution of the white-light microscope is equivalent to that of the scanning laser microscope. White-light microscope images positively stand out from those of the scanning laser microscope by their lack of artefacts caused by interference

    Fast computation of shifted Popov forms of polynomial matrices via systems of modular polynomial equations

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    International audienceWe give a Las Vegas algorithm which computes the shifted Popov form of an m×mm\times m nonsingular polynomial matrix of degree dd in expectedO~(mωd)\widetilde{\mathcal{O}}(m^\omega d) field operations, where ω\omega is theexponent of matrix multiplication and O~()\widetilde{\mathcal{O}}(\cdot)indicates that logarithmic factors are omitted. This is the first algorithm inO~(mωd)\widetilde{\mathcal{O}}(m^\omega d) for shifted row reduction with arbitraryshifts.Using partial linearization, we reduce the problem to the case dσ/md \le \lceil\sigma/m \rceil where σ\sigma is the generic determinant bound, with σ/m\sigma/ m bounded from above by both the average row degree and the average columndegree of the matrix. The cost above becomes O~(mωσ/m)\widetilde{\mathcal{O}}(m^\omega\lceil \sigma/m \rceil), improving upon the cost of the fastest previouslyknown algorithm for row reduction, which is deterministic. Our algorithm first builds a system of modular equations whose solution set isthe row space of the input matrix, and then finds the basis in shifted Popovform of this set. We give a deterministic algorithm for this second stepsupporting arbitrary moduli in O~(mω1σ)\widetilde{\mathcal{O}}(m^{\omega-1} \sigma)field operations, where mm is the number of unknowns and σ\sigma is the sumof the degrees of the moduli. This extends previous results with the same costbound in the specific cases of order basis computation and M-Pad\'eapproximation, in which the moduli are products of known linear factors

    Dyspnoe : Kapitel 16

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    Zyanose

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    Dyspnoe

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    Zyanose : Kapitel 46

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    Integrating Risks in Business Process Models with Value focused Process Engineering

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    As enterprise systems develop, the integration of various business management dimensions becomes increasingly important. However, historical disciplinary boundaries between information systems and management sciences can obstruct this path to integration. For example, risk management is generally considered as a business process within process engineering, while in the context of management sciences risk is treated as a threat to business objectives that needs to be minimized. Both views are essential for a complete approach to identifying, understanding and managing risks in order to optimally meet business requirements. In this paper, we address the need for a holistic business view of risk management in the enterprise systems space by drawing on the strengths of the respective disciplines and identifying links between their complementary views of risk, which enables us to integrate these apparently diverging views. Through the application of value-focused process engineering principles to risk management models, we develop a framework that extends the capabilities of existing enterprise systems and enables risk-oriented process management which incorporates a multi-disciplinary view of risk. The proposed framework is illustrated in the context of a critical administrative process in a university to demonstrate the practical application of and the resulting benefits from the use of this framework

    To My Parents Acknowledgments

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    I would like to begin by expressing my gratitude to my advisor, Mustaque Ahamad. It was his guidance and encouragement which has made this thesis possible. I would also like to thank the members of my dissertation commit-tee, Gil Neiger, Umakishore Ramachandran, Karsten Schwan and Divyakant Agrawal, for their time and helpful suggestions which have vastly improved this thesis. Several people associated with the Clouds project have contributed with their assistance, ideas and coding: In particular, Sathis Menon who helped me find my bearings in the Clouds project and was always around when I needed help; R. Ananthanarayanan and Ajay Mohindra for the discussions on DSM related issues which to a great extent simplified my implementations. I would like to thank my cubicle-mates Vibby Gottemukkala, M. Chelliah and Srinivas Doddapaneni for their companionship during the last five years. Also, Rida Bazzi for the late night tea sessions, while we were both writing our theses, where we argued about everything from the format of the thesis to lif
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