6,019 research outputs found

    Cyberscience and the Knowledge-Based Economy, Open Access and Trade Publishing: From Contradiction to Compatibility with Nonexclusive Copyright Licensing

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    Open source, open content and open access are set to fundamentally alter the conditions of knowledge production and distribution. Open source, open content and open access are also the most tangible result of the shift towards e-Science and digital networking. Yet, widespread misperceptions exist about the impact of this shift on knowledge distribution and scientific publishing. It is argued, on the one hand, that for the academy there principally is no digital dilemma surrounding copyright and there is no contradiction between open science and the knowledge-based economy if profits are made from nonexclusive rights. On the other hand, pressure for the ‘digital doubling’ of research articles in Open Access repositories (the ‘green road’) is misguided and the current model of Open Access publishing (the ‘gold road’) has not much future outside biomedicine. Commercial publishers must understand that business models based on the transfer of copyright have not much future either. Digital technology and its economics favour the severance of distribution from certification. What is required of universities and governments, scholars and publishers, is to clear the way for digital innovations in knowledge distribution and scholarly publishing by enabling the emergence of a competitive market that is based on nonexclusive rights. This requires no change in the law but merely an end to the praxis of copyright transfer and exclusive licensing. The best way forward for research organisations, universities and scientists is the adoption of standard copyright licenses that reserve some rights, namely Attribution and No Derivative Works, but otherwise will allow for the unlimited reproduction, dissemination and re-use of the research article, commercial uses included

    MARKETING FINANCIAL PRODUCTS WITHIN THE ACTIVITY OF INVESTMENT BANKS

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    A production system which produces a large number of items in many steps can be modelled as a continuous flow problem. The resulting hyperbolic partial differential equation (PDE) typically is nonlinear and nonlocal, modeling a factory whose cycle time depends nonlinearly on the work in progress. One of the few ways to influence the output of such a factory is by adjusting the start rate in a time dependent manner.We study two prototypical control problems for this case: i) demand tracking where we determine the start rate that generates an output rate which optimally tracks a given time dependent demand rate and ii) backlog tracking which optimally tracks the cumulative demand. The method is based on the formal adjoint method for constrained optimization, incorporating the hyperbolic PDE as a constraint of a nonlinear optimization problem. We show numerical results on optimal start rate profiles for steps in the demand rate and for periodically varying demand rates and discuss the influence of the nonlinearity of the cycle time on the limits of the reactivity of the production system. Differences between perishable and non-perishable demand (demand vs. backlog tracking) are highlighted

    Neutrino Detection using Lead Perchlorate

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    We discuss the possibility of using lead perchlorate as a neutrino detector. The primary neutrino interactions are given along with some relevant properties of the material.Comment: 2 pages, 2 figures, TAUP-99, TEX fil
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