134 research outputs found

    Agriculture biologique en algerie: potentiel et perspectives de developpement

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    L’agriculture algérienne standard souffre d’une sous compétitivité durable et d’une faible intégration aux marchés extérieurs. Les politiques traditionnelles et les plans de développement agricole successifs n’ont produit que de maigres résultats au regard des potentialités et des besoins du pays. Face à un tel constat, l’agriculture biologique peut s’avérer comme une alternative intéressante pour valoriser les ressources locales, d’autant plus que le marché mondial ne cesse de croître, pour faire face aux crises alimentaires. La durabilité, la rentabilité de cette agriculture et la proximité des marchés en croissance (Europe) sont également des facteurs favorables à l’épanouissement de ce modèle agricole en Algérie. Cet article tente de répondre à la question du potentiel et des perspectives de cette agriculture biologique en Algérie.Mots clés : Agriculture biologique, Potentiel, Perspectives, AlgérieCode JEL : Q01, Q18, R58

    Simulations for Mechanical Ventilation in Children: Review and Future Prospects

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    ABSTRACT: Mechanical ventilation is a very effective therapy, but with many complications. Simulators are used in many fields, including medicine, to enhance safety issues. In the intensive care unit, they are used for teaching cardiorespiratory physiology and ventilation, for testing ventilator performance, for forecasting the effect of ventilatory support, and to determine optimal ventilatory management. They are also used in research and development of clinical decision support systems (CDSSs) and explicit computerized protocols in closed loop. For all those reasons, cardiorespiratory simulators are one of the tools that help to decrease mechanical ventilation duration and complications. This paper describes the different types of simulators described in the literature for physiologic simulation and modeling of the respiratory system, including a new simulator (SimulResp), and proposes a validation process for these simulators

    Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

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    International audienceThis paper presents a new framework for capturing large and complex deformations in image registration and atlas construction. This challenging and recurrent problem in computer vision and medical imaging currently relies on iterative and local approaches, which are prone to local minima and, therefore, limit present methods to relatively small deformations. Our general framework introduces to this effect a new direct feature matching technique that finds global correspondences between images via simple nearest-neighbor searches. More specifically, very large image deformations are captured in Spectral Forces, which are derived from an improved graph spectral representation. We illustrate the benefits of our framework through a new enhanced version of the popular Log-Demons algorithm, named the Spectral Log-Demons, as well as through a groupwise extension, named the Groupwise Spectral Log-Demons, which is relevant for atlas construction. The evaluations of these extended versions demonstrate substantial improvements in accuracy and robustness to large deformations over the conventional Demons approaches

    Nonconforming mesh generation for finite volume method applied to 3-D magnetic field analysis

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    An algorithm for generating and connecting 3-D nonconforming mesh with Finite Volume Method FVM is developed. The accuracy and computational performance using the nonconforming mesh technique are compared with those using the conventional conforming mesh. The algorithm is applied to solve a 3-D magnetostatic workshop problem proposed by IEEJ. It is shown that the memory requirements and CPU time using the nonconforming mesh can be decreased to about 1/2 of those using the conforming one. Moreover, the accuracy of the magnetic flux density is significantly improved
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