708 research outputs found

    “Era por Alexandre tod’esto demostrado”: ¿pruebas verídicas y pruebas engañosas en el Libro de Alexandre?

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    El Libro de Alexandre es un texto de s. XIII, que se escribió en la España medieval. En este escrito, el autor pretende demostrar que, en el Alexandre, algunas de las situaciones que se ponen a prueba son aceptadas, pero eso no significa que el macedonio gane la prueba. El articulo esta dividido en tres apartados. En el primero, el autor da cuenta de la historia textual de la obra y también dedica ciertas líneas al Estado de la cuestión del texto; mientras que, en la segunda parte, nos guía a conceptos etimológicos de los términos prueba, evidencia y demás. En el tercer apartado se centra en algunas pruebas expuestas en el Libro de Alexandre.The Libro de Alexandre is a literary work, written during the medieval Spain. In this paper, the author tries to demonstrate that, carefully reading the L.A, some of the situations that are set as proves are accepted, but it does not mean that Alexander can be a victor. This paper is divided in three sections: firstly, the author tells the textual history of the L.A and, then, tries to update the State of art: on the other hand, in the second part, the author offers meanings about terms as: prueba and evidencia. Finally, the author focuses on certain passages contained in the Libro de Alexandre that can be taken as failed proves

    The structure of an interdomain complex that regulates talin activity

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    Talin is a large flexible rod-shaped protein that activates the integrin family of cell adhesion molecules and couples them to cytoskeletal actin. It exists in both globular and extended conformations, and an intramolecular interaction between the N-terminal F3 FERM subdomain and the C-terminal part of the talin rod contributes to an autoinhibited form of the molecule. Here, we report the solution structure of the primary F3 binding domain within the C-terminal region of the talin rod and use intermolecular nuclear Overhauser effects to determine the structure of the complex. The rod domain (residues 1655–1822) is an amphipathic five-helix bundle; Tyr-377 of F3 docks into a hydrophobic pocket at one end of the bundle, whereas a basic loop in F3 (residues 316–326) interacts with a cluster of acidic residues in the middle of helix 4. Mutation of Glu-1770 abolishes binding. The rod domain competes with β3-integrin tails for binding to F3, and the structure of the complex suggests that the rod is also likely to sterically inhibit binding of the FERM domain to the membrane.Benjamin T. Goult, Neil Bate, Nicholas J. Anthis, Kate L. Wegener, Alexandre R. Gingras, Bipin Patel, Igor L. Barsukov, Iain D. Campbell, Gordon C. K. Roberts and David R. Critchle

    Rewarding Innovation: Improving Federal Tax Support for Business R&D in Canada

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    Business innovation is viewed by many as a solution to Canada’s ailing productivity performance. One of the more troubling aspects of Canada’s innovation track record is that businesses spend relatively little on research and development (R&D) despite having access to some of the world’s most generous R&D tax incentives. Canada’s low levels of business R&D have called into question the effectiveness of Canada’s generous R&D tax incentives, particularly the flagship federal Scientific Research and Experimental Development (SR&ED) program. A deeper analysis, however, reveals that tax incentives are effective in stimulating more R&D – that is, Canada would have lower levels of business R&D in the absence of these inducements. Instead, the root cause of Canada’s business R&D deficit appears to stem from structural aspects of the economy and, more importantly, a lack of demand-related pressure to pursue innovation.Fiscal and Tax Competitiveness, Canada, research and development (R&D) incentives, Scientific Research and Experimental Development (SR&ED) program

    diffuStats: an R package to compute diffusion-based scores on biological networks

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    This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record Sergio Picart-Armada, Wesley K Thompson, Alfonso Buil, Alexandre Perera-Lluna; diffuStats: an R package to compute diffusion-based scores on biological networks, Bioinformatics, Volume 34, Issue 3, 1 February 2018, Pages 533–534 is available online at: https://doi.org/10.1093/bioinformatics/btx632.Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritising novel candidates in the area of study. There are several choices in conceiving the diffusion process -involving the graph kernel, the score definitions and the presence of a posterior statistical normalisation- which have an impact on the results. This manuscript describes diffuStats, an R package that provides a collection of graph kernels and diffusion scores, as well as a parallel permutation analysis for the normalised scores, that eases the computation of the scores and their benchmarking for an optimal choice.Peer ReviewedPostprint (author's final draft

    GYM-Author: Generation Of Self-Learning Exercises In Philosophy

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    Can a system have the ability to dynamically generate, on demand, a large number of adequate exercises in order to feed a learning environment in philosophy? We addressed this issue with our Philosophical Gymnasium (Phi-GYM) project with its authoring tool. Our motivation in designing the authoring tool was to: (1) Find an effective way to provide a wide range of exercises, and to; (2) Provide Philosophy teachers with an easy, autonomous, and collaborative way to create exercises related to classical Philosophical texts without worrying about technology. After a brief review of related work, this article describes the design and development of the Philosophical Gymnasium’s web-based authoring system 2 , which semi-automatically generates self-learning exercises in the philosophical domain for a web-based learning environment (the Gymnasium’s second component). We conclude by presenting our plan about GYM-Author’s performance evaluation and deployment plan for scaling the system

    Author(s) First Name Middle Name Surname Role Frederico B. A. Alexandre Third Author Affiliation

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    This page is for indexing purposes and will not be printed in the conference proceedings book. The text area is 29 × 45 picas (~12.3 cm × 19 cm) to fit in the printed proceedings book without reduction. When printed on letter paper there will be wide margins. Author(s

    Opening the Door to Philosophy for teachers with GYM-Author

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    Can a system have the ability to dynamically generate, on demand, a large number of self-learning and self-assessment exercises in order to supplement a learning environment in philosophy? We addressed this issue with our Phi-GYM project with its integrated authoring tool for tutoring systems in philosophy. Our motivation in designing the authoring tool was to: (1) Find an effective way to semi-automatically generate a wide range of exercises, and; (2) Provide philosophy teachers with an easy, autonomous, and collective way to create exercises related to classical philosophical texts without worrying about any technology

    diffuStats: an R package to compute diffusion-based scores on biological networks

    No full text
    This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record Sergio Picart-Armada, Wesley K Thompson, Alfonso Buil, Alexandre Perera-Lluna; diffuStats: an R package to compute diffusion-based scores on biological networks, Bioinformatics, Volume 34, Issue 3, 1 February 2018, Pages 533–534 is available online at: https://doi.org/10.1093/bioinformatics/btx632.Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritising novel candidates in the area of study. There are several choices in conceiving the diffusion process -involving the graph kernel, the score definitions and the presence of a posterior statistical normalisation- which have an impact on the results. This manuscript describes diffuStats, an R package that provides a collection of graph kernels and diffusion scores, as well as a parallel permutation analysis for the normalised scores, that eases the computation of the scores and their benchmarking for an optimal choice.Peer Reviewe
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