4,456 research outputs found

    Relational Graph Models at Work

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    We study the relational graph models that constitute a natural subclass of relational models of lambda-calculus. We prove that among the lambda-theories induced by such models there exists a minimal one, and that the corresponding relational graph model is very natural and easy to construct. We then study relational graph models that are fully abstract, in the sense that they capture some observational equivalence between lambda-terms. We focus on the two main observational equivalences in the lambda-calculus, the theory H+ generated by taking as observables the beta-normal forms, and H* generated by considering as observables the head normal forms. On the one hand we introduce a notion of lambda-K\"onig model and prove that a relational graph model is fully abstract for H+ if and only if it is extensional and lambda-K\"onig. On the other hand we show that the dual notion of hyperimmune model, together with extensionality, captures the full abstraction for H*

    Semi-blind Bayesian inference of CMB map and power spectrum

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    We present a new blind formulation of the Cosmic Microwave Background (CMB) inference problem. The approach relies on a phenomenological model of the multi-frequency microwave sky without the need for physical models of the individual components. For all-sky and high resolution data, it unifies parts of the analysis that have previously been treated separately, such as component separation and power spectrum inference. We describe an efficient sampling scheme that fully explores the component separation uncertainties on the inferred CMB products such as maps and/or power spectra. External information about individual components can be incorporated as a prior giving a flexible way to progressively and continuously introduce physical component separation from a maximally blind approach. We connect our Bayesian formalism to existing approaches such as Commander, SMICA and ILC, and discuss possible future extensions.Comment: 11 pages, 9 figure

    On the characterization of models of H*: The semantical aspect

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    We give a characterization, with respect to a large class of models of untyped lambda-calculus, of those models that are fully abstract for head-normalization, i.e., whose equational theory is H* (observations for head normalization). An extensional K-model DD is fully abstract if and only if it is hyperimmune, {\em i.e.}, not well founded chains of elements of D cannot be captured by any recursive function. This article, together with its companion paper, form the long version of [Bre14]. It is a standalone paper that presents a purely semantical proof of the result as opposed to its companion paper that presents an independent and purely syntactical proof of the same result

    Le mystère de l’Incarnation dans le Tome à Flavien de saint Léon le Grand

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    L'article présente le Tome à Flavien de Léon le Grand (449): ses circonstances historiques et doctrinales, sa méthode, ses ressources théologiques, le thème des “deux naissances” du Verbe, les deux natures et les deux opérations du Verbe incarné, la communication des propriétés et les dimensions sotériologiques de l'incarnation. Il se conclut par l'apport de Léon le Grand concernant les notions de nature et de personne

    Estudio de optimización de costes para la restauración de edificios históricos basado en las experiencias de obra

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    This TFM aims to highlight the work of almost five months as a cost engineer in a company specialized in stone works for historical monuments. During this period, I had the opportunity to work on real projects, attend negotiation meetings and site visits. It was also the occasion to work for the rehabilitation and restoration of historical monuments, both in terms of vocabulary and intervention methods. It was important to start the report with a state of the art through personal research on historical restoration: present the specific vocabulary to work on these structures attached to our heritage. The second chapter will present the objective of the TFM with the development of a computer tool who will respond to the problem. First, we will see the resonances that will have allowed us to advance the computer tool chosen to focus on its development. The first objective of the software tool created is to optimize the price studies that are currently carried out within the company. In addition, we will see that this tool will try to respond at the same time to the exposed problem and at the same time with other problems and with real needs of management control in a construction site

    Proudly Agripreneurs! Learning from 24 young African business leaders

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    This booklet highlights key elements of the publication Ils l’ont fait ! published by CTA in collaboration with MediaProd from Burkina Faso, which outlines the achievements of 24 entrepreneurs that have been featured by Agribusiness TV. CTA wants to reveal the impacts these agripreneurs have had, and encourage other young people to take inspiration, so they too can better invest their efforts in agriculture. The booklet introduces the 24 young entrepreneurs and explains how they are addressing the key youth agripreneurship challenges they are facing
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