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Titlebook: Viability and Sustainability of Small-Scale Fisheries in Latin America and The Caribbean; Silvia Salas,María José Barragán-Paladines,Ratan

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Gabriela Galindo-Cortes,Lourdes Jiménez-Badillo,César Meinersy grids for execution of distributed computational jobs. These computing workloads are typically data-intensive. The current state of the art approach for data access in grids is data placement: a job is scheduled to run at a specific data center, and its execution commences only once the complete i
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Peter Edwards,Maria Pena,Rodrigo Pereira Medeiros,Patrick McConneyetworks is difficult and is mostly done with a static approach, neglecting time delayed interdependences. Tensors are objects that naturally represent multilayer networks and in this paper, we propose a new methodology based on Tucker tensor autoregression in order to build a multilayer network dire
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Javier Villanueva García Benítez,Alejandro Flores-Navaation. The latter is commonly used to either fit the so-called reduced data . for which the associated exact interpolation knots remain unknown or to model the trajectory of the curve . passing through .. The exponential parameterization governed by a single parameter . replaces such discrete set of
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linear stiffness matrix computation. First finer mesh scale should be taken in strong transport direction; Next the system is carefully initialized by the solution with linear conductivity; Third, time step and relaxation factor are vertex-based varied and optimized at each time step; Finally, the n
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