1,477 research outputs found

    Stochastic porous media equations and self-organized criticality: convergence to the critical state in all dimensions

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    If X=X(t,ξ)X=X(t,\xi) is the solution to the stochastic porous media equation in ORd\cal O\subset\mathbb{R}^d, 1d3,1\le d\le 3, modelling the self-organized criticaity and XcX_c is the critical state, then it is proved that \int^\9_0m(\cal O\setminus\cal O^t_0)dt<\9, Pa.s.\mathbb{P}{-a.s.} and \lim_{t\to\9}\int_{\cal O}|X(t)-X_c|d\xi=\ell<\9,\ \mathbb{P}{-a.s.} Here, mm is the Lebesgue measure and Oct\cal O^t_c is the critical region {ξO;\{\xi\in\cal O; X(t,ξ)=Xc(ξ)} X(t,\xi)=X_c(\xi)\} and Xc(ξ)X(0,ξ)X_c(\xi)\le X(0,\xi) a.e. ξO\xi\in\cal O. If the stochastic Gaussian perturbation has only finitely many modes (but is still function-valued), \lim_{t\to\9}\int_K|X(t)-X_c|d\xi=0 exponentially fast for all compact KOK\subset\cal O with probability one, if the noise is sufficiently strong. We also recover that in the deterministic case =0\ell=0

    CORPORATE GOVERNANCE AND FIRM PERFORMANCE

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    Good corporate governance is an important step in building market confidence and encouraging more stable, long-term international investment flows. Many countries see better corporate governance practices as a way to improve economic dynamism and thus enhance overall economic performance. This paper sets out to further develop our understanding of corporate governance and its effects on corporate performance and economic performance. In doing so, it addresses some of the underlying factors that promote efficient corporate governance, and examines some of the economic implications associated with various corporate governance systems. I provide an framework for understanding how corporate governance can affect corporate performance. In the wake of a literature survey, I find that corporate governance matters for economic performance, insider ownership matters the most, outside ownership concentration destroys market value, direct ownership being superior to indirect.corporate governance, company performance

    Retail store design and environment as branding support in the services marketing

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    The services are intangibles, therefore their quality is difficult to be evaluated by the client and building a strong brand image is a challenging task. The services are distributed using diverse channels such as: company retail stores, dealers, franchise. The service companies are interested in the environment of the location, not only to increase sells but also in order to boost the image of the company. The excitement that a retail store induces to a client can modify the perception of the brand. The client values more a brand that distributes its services in a luxury, high-tech retail environment than a discount store. In this paper we intended to investigate the techniques that a service company is using to enhance the brand image in a retail location. For this purpose, the various aspects of the retail store design and environment were analyzed in connection with the customer-based brand equity model. This original association will offer the services companies’ new perspectives on how to leverage brand image.retail environment, brand architecture, point of sale marketing

    Revisiting loss-specific training of filter-based MRFs for image restoration

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    It is now well known that Markov random fields (MRFs) are particularly effective for modeling image priors in low-level vision. Recent years have seen the emergence of two main approaches for learning the parameters in MRFs: (1) probabilistic learning using sampling-based algorithms and (2) loss-specific training based on MAP estimate. After investigating existing training approaches, it turns out that the performance of the loss-specific training has been significantly underestimated in existing work. In this paper, we revisit this approach and use techniques from bi-level optimization to solve it. We show that we can get a substantial gain in the final performance by solving the lower-level problem in the bi-level framework with high accuracy using our newly proposed algorithm. As a result, our trained model is on par with highly specialized image denoising algorithms and clearly outperforms probabilistically trained MRF models. Our findings suggest that for the loss-specific training scheme, solving the lower-level problem with higher accuracy is beneficial. Our trained model comes along with the additional advantage, that inference is extremely efficient. Our GPU-based implementation takes less than 1s to produce state-of-the-art performance.Comment: 10 pages, 2 figures, appear at 35th German Conference, GCPR 2013, Saarbr\"ucken, Germany, September 3-6, 2013. Proceeding

    Dynamics of semi-flexible polymer solutions in the highly entangled regime

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    We present experimental evidence that the effective medium approximation (EMA), developed by D.C. Morse [Phys. Rev. E {\bf 63}, 031502, (2001)], provides the correct scaling law of the macroscopic plateau modulus G0ρ4/3Lp1/3G^{0}\propto\rho^{4/3}L^{-1/3}_{p} (where ρ\rho is the contour length per unit volume and LpL_{p} is the persistence length) of semi-flexible polymer solutions, in the highly entangled concentration regime. Competing theories, including a self-consistent binary collision approximation (BCA), have instead predicted G0ρ7/5Lp1/5G^{0}\propto\rho^{7/5}L^{-1/5}_{p}. We have tested both the EMA and BCA scaling predictions using actin filament (F-actin) solutions which permit experimental control of LpL_p independently of other parameters. A combination of passive video particle tracking microrheology and dynamic light scattering yields independent measurements of the elastic modulus GG and LpL_{p} respectively. Thus we can distinguish between the two proposed laws, in contrast to previous experimental studies, which focus on the (less discriminating) concentration functionality of GG.Comment: 4 pages, 6 figures, Phys. Rev. Lett. (accepted

    Global Carleman inequalities for parabolic systems and applications to controllability

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    This paper has been conceived as an overview on the controllability properties of some relevant (linear and nonlinear) parabolic systems. Specifically, we deal with the null controllability and the exact controllability to the trajectories. We try to explain the role played by the observability inequalities in this context and the need of global Carleman estimates. We also recall the main ideas used to overcome the difficulties motivated by nonlinearities. First, we considered the classical heat equation with Dirichlet conditions and distributed controls. Then we analyze recent extensions to other linear and semilinear parabolic systems and/or boundary controls. Finally, we review the controllability properties for the Stokes and Navier–Stokes equations that are known to date. In this context, we have paid special attention to obtaining the necessary Carleman estimates. Some open questions are mentioned throughout the paper. We hope that this unified presentation will be useful for those researchers interested in the field.Ministerio de Educación y Cienci

    Random attractors for degenerate stochastic partial differential equations

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    We prove the existence of random attractors for a large class of degenerate stochastic partial differential equations (SPDE) perturbed by joint additive Wiener noise and real, linear multiplicative Brownian noise, assuming only the standard assumptions of the variational approach to SPDE with compact embeddings in the associated Gelfand triple. This allows spatially much rougher noise than in known results. The approach is based on a construction of strictly stationary solutions to related strongly monotone SPDE. Applications include stochastic generalized porous media equations, stochastic generalized degenerate p-Laplace equations and stochastic reaction diffusion equations. For perturbed, degenerate p-Laplace equations we prove that the deterministic, infinite dimensional attractor collapses to a single random point if enough noise is added.Comment: 34 pages; The final publication is available at http://link.springer.com/article/10.1007%2Fs10884-013-9294-

    Best friends: children use mutual gaze to identify friendships in others

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    This study examined children’s ability to use mutual eye gaze as a cue to friendships in others. In Experiment 1, following a discussion about friendship, 4-, 5-, and 6-year-olds were shown animations in which three cartoon children looked at one another, and were told that one target character had a best friend. Although all age groups accurately detected the mutual gaze between the target and another character, only 5- and 6-year-olds used this cue to infer friendship. Experiment 2 replicated the effect with 5- and 6-year-olds when the target character was not explicitly identified. Finally, in Experiment 3, where the attribution of friendship could only be based on synchronized mutual gaze, 6-year-olds made this attribution, while 4- and 5-year-olds did not. Children occasionally referred to mutual eye gaze when asked to justify their responses in Experiments 2 and 3, but it was only by the age of 6 that reference to these cues correlated with the use of mutual gaze in judgements of affiliation. Although younger children detected mutual gaze, it was not until 6 years of age that children reliably detected and justified mutual gaze as a cue to friendship

    Global attractors for Cahn-Hilliard equations with non constant mobility

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    We address, in a three-dimensional spatial setting, both the viscous and the standard Cahn-Hilliard equation with a nonconstant mobility coefficient. As it was shown in J.W. Barrett and J.W. Blowey, Math. Comp., 68 (1999), 487-517, one cannot expect uniqueness of the solution to the related initial and boundary value problems. Nevertheless, referring to J. Ball's theory of generalized semiflows, we are able to prove existence of compact quasi-invariant global attractors for the associated dynamical processes settled in the natural "finite energy" space. A key point in the proof is a careful use of the energy equality, combined with the derivation of a "local compactness" estimate for systems with supercritical nonlinearities, which may have an independent interest. Under growth restrictions on the configuration potential, we also show existence of a compact global attractor for the semiflow generated by the (weaker) solutions to the nonviscous equation characterized by a "finite entropy" condition
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