Examinando por Materia "dynamics"
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Ítem 2D simulation flue implementing the lattice-boltzmann method(TRANS TECH PUBLICATIONS LTD, 2014-01-01) Ruiz, D.B.; Mesa, A.A.; Alvis, R.G.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesCurrently in the process of engineering, but increasingly implemented simulation methods since they are an economical and feasible to predict the behavior of some variable you wish to benefit. The problem of fluid simulation is a broad field of study, traditionally in this area are implemented domain discretization methods, volumes, differences or finite elements (Computational Fluid Dynamics), in this work, a different approach where the discretization is made on the physical properties of fluid and the fluid for reconstruction from its microscopic properties, simulating these, propagating Boltzmann distribution functions for the grid of nodes, this set is comprised of a fluid group of nodes, nodes fluid the border and nodes structure, docked the method to the boundary conditions necessary to simulate Glycerol in a pipe. © (2014) Trans Tech Publications, Switzerland.Ítem Planktic foraminiferal diversity: Logistic growth overprinted by a varying environment(Universidad Nacional de Colombia, 2016-09-01) Cárdenas-Rozo, A.L.; Harries, P.J.; Universidad EAFIT. Departamento de Ciencias; Biodiversidad, Evolución y ConservaciónThis study statistically assesses the relationship between the planktic foraminiferal long-term diversity pattern (~170 Ma to Recent) and four major paleobiological diversification models: (i) the ‘Red Queen’ (Van Valen, 1973; Raup et al., 1973), (ii) the turnover-pulse (Vrba, 1985; Brett and Baird, 1995), (iii) the diversity-equilibrium (Sepkoski, 1978; Rosenzweig, 1995), and (iv) the ‘complicated logistic growth’ (Alroy, 2010a). Our results suggest that the long-term standing diversity pattern and the interplay between origination and extinction rates displayed by this group do not correspond to the first three models, but can be more readily explained by the fourth scenario. Consequently, these patterns are likely controlled by a combination of planktic foraminiferal interspecific competition as well as various environmental changes such as marine global temperatures that could impacted the niches within the upper mixed layer within the oceans. Moreover, as other global long-term patterns have been interpreted as reflecting ‘complicated logistic growth’, this study further suggests that the interplay between abiotic and biotic factors are fundamental elements influencing the evolutionary processes over the extensive history of the biota. © 2016 Author(s).