Dynamics and zeta functions on conformally compact manifolds

In this note, we study the dynamics and associated zeta functions of conformally compact manifolds with variable negative sectional curvatures. We begin with a discussion of a larger class of manifolds known as convex co-compact manifolds with variable negative curvature. Applying results from dynamics on these spaces, we obtain optimal meromorphic extensions of weighted dynamical zeta functions and asymptotic counting estimates for the number of weighted closed geodesics. A meromorphic extension of the standard dynamical zeta function and the prime orbit theorem follow as corollaries. Finally, we investigate interactions between the dynamics and spectral theory of these spaces

Traduciendo prensa y para la prensa

El motivo de la presente conferencia no es otro que hacer una breve reflexión sobre la práctica lingüística y profesional de la traducción periodística, de acuerdo con la experiencia profesional del ponente en este ámbito, en concreto, en el campo de la traducción español-árabe-español.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

e-Portfolio: Java technology for financial applications on the Internet

This is an electronic version of the paper presented at the WebNet 2001 World Conference on the WWW and Internet, held in Orlando on 2001The rapid introduction of the Internet technologies in the financial sector is leading to profound changes affecting both financial service companies and private investors. Web-based technologies have transfigured our concept of information availability, and are transforming the way customers and service providers communicate and relate to each other as well, posing new organizational and computational challenges. A new generation of financial applications is needed that a) help users in accessing the right information in an understandable form, despite the size and complexity of information sources, b) are readily available from handy standard connection points, c) do not impose heavy or too restrictive platform requirements on the user, and d) assure transparent, reliable and secure transactions for the client. In this paper we describe e-Portfolio, a Java-based financial application that gives assistance in the choice of an optimal investment strategy according to an investor's profile. e-Portfolio’s highly portable, interoperable, and reusable components result in a very flexible architecture that can be accommodated to different business settings and requirements

Non-linear Causal Inference using Gaussianity Measures

We provide theoretical and empirical evidence for a type of asymmetry between causes and effects that is present when these are related via linear models contaminated with additive non-Gaussian noise. Assuming that the causes and the effects have the same distribution, we show that the distribution of the residuals of a linear fit in the anti-causal direction is closer to a Gaussian than the distribution of the residuals in the causal direction. This Gaussianization effect is characterized by reduction of the magnitude of the high-order cumulants and by an increment of the differential entropy of the residuals. The problem of non-linear causal inference is addressed by performing an embedding in an expanded feature space, in which the relation between causes and effects can be assumed to be linear. The effectiveness of a method to discriminate between causes and effects based on this type of asymmetry is illustrated in a variety of experiments using different measures of Gaussianity. The proposed method is shown to be competitive with state-of-the-art techniques for causal inference.Comment: 35 pages, 9 figure

BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala

We present a method to reconstruct networks of socialbots given minimal input. Then we use Kernel Density Estimates of Botometer scores from 47,000 social networking accounts to find clusters of automated accounts, discovering over 5,000 socialbots. This statistical and data driven approach allows for inference of thresholds for socialbot detection, as illustrated in a case study we present from Guatemala.Comment: 7 pages, 4 figure