1,208 research outputs found

    Spectral properties and pattern selection in fractal growth networks

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    A model for the generation of fractal growth networks in Euclidean spaces of arbitrary dimension is presented. These networks are considered as the spatial support of reaction-diffusion and pattern formation processes. The local dynamics at the nodes of a fractal growth network is given by a nonlinear map, giving raise to a coupled map system. The coupling is described by a matrix whose eigenvectors constitute a basis on which spatial patterns on fractal growth networks can be expressed by linear combination. The spectrum of eigenvalues the coupling matrix exhibits a nonuniform distribution that is reflected in the presence of gaps or niches in the boundaries of stability of the synchronized states on the space of parameters of the system. These gaps allow for the selection of specific spatial patterns by appropriately varying the parameters of the system.Comment: 9 pages, 6 Figs, Submitted to Physica

    Microscopic approach to large-amplitude deformation dynamics with local QRPA inertial masses

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    We have developed a new method for determining microscopically the fivedimensional quadrupole collective Hamiltonian, on the basis of the adiabatic self-consistent collective coordinate method. This method consists of the constrained Hartree-Fock-Bogoliubov (HFB) equation and the local QRPA (LQRPA) equations, which are an extension of the usual QRPA (quasiparticle random phase approximation) to non-HFB-equilibrium points, on top of the CHFB states. One of the advantages of our method is that the inertial functions calculated with this method contain the contributions of the time-odd components of the mean field, which are ignored in the widely-used cranking formula. We illustrate usefulness of our method by applying to oblate-prolate shape coexistence in 72Kr and shape phase transition in neutron-rich Cr isotopes around N=40.Comment: 6pages, talk given at Rutherford Centennial Conference on Nuclear Physics, 8 - 12 August 2011, The University of Mancheste

    A simulation framework for UAV sensor fusion

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    Proceedings of: 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010.he behavior recognition is one of the most prolific lines of research in recent decades in the field of computer vision. Within this field, the majority of researches have focused on the recognition of the activities carried out by a single individual, however this paper deals with the problem of recognizing the behavior of a group of individuals, in which relations between the component elements are of great importance. For this purpose it is exposed a new representation that concentrates all necessary information concerning relations peer to peer present in the group, and the semantics of the different groups formed by individuals and training (or structure) of each one of them. The work is presented with the dataset created in CVBASE06 dealing the European handballThis work was supported in part by Projects ATLANTIDA, CICYT TIN2008-06742- C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB, CAM CONTEXTS S2009/TIC-1485 and DPS2008-07029-C02-02.Publicad

    Phase ordering induced by defects in chaotic bistable media

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    The phase ordering dynamics of coupled chaotic bistable maps on lattices with defects is investigated. The statistical properties of the system are characterized by means of the average normalized size of spatial domains of equivalent spin variables that define the phases. It is found that spatial defects can induce the formation of domains in bistable spatiotemporal systems. The minimum distance between defects acts as parameter for a transition from a homogeneous state to a heterogeneous regime where two phases coexist The critical exponent of this transition also exhibits a transition when the coupling is increased, indicating the presence of a new class of domain where both phases coexist forming a chessboard pattern.Comment: 3 pages, 3 figures, Accepted in European Physics Journa

    Evaluation of Phyllanthus amarus herb for its hepatic effects

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    Aqueous extract of pulverized whole Phyllanthus amarus was assessed for hepatic effects in albino rats. Its phytochemical, proximate and mineral constituents were also evaluated. The results showed that the extract significantly reduced the plasma activities of alanine and aspartate transaminases and total bilirubin concentration (P < 0.01), with a non- significant increase in the plasma concentration of total protein (P > 0.01). The extract contained 24.05 % saponins, 17.50% tannins and 5.47 % oxalates as well as 11.05 % moisture, 6.80 % ash, 6.03 % fat, 6.10 % protein, 24.50 % fibre and 45.52 % carbohydrate. The mineral content of the defatted pulverized P. amarus was found to be potassium (150.30), sodium (228.20), calcium (1.60), magnesium (2.40), iron (1.65), and phosphorus (1.00) mg per 100 g dry weight. The reduction of plasma activity of transaminases and concentration of total bilirubin, with a concomitant increase in total protein concentration suggest that the plant has a hepatic cell protection function and enhancement potential. The high saponin and tannin, potassium and sodium, and carbohydrate and fibre contents of the plant explain its use in folk medicine for the treatment of liver problems, oedema and use as tonic, respectively. Keywords: Phyllanthus amarus, Chemical Composition, Hepatic Effects, Albino Rat
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