1,081 research outputs found

    Desarrollo local, educación e identidad cultural

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    Hay en nuestra sociedad un debate abierto sobre la relación existente entre la identidad cultural de una comunidad y su proceso de desarrollo. Se trata de una cuestión extremadamente delicada, en la que intervienen múltiples factores (sociales, económicos, pero especialmente políticos) que hacen difíciles, en ocasiones, los análisis objetivos. Aquí pretendemos mostrar el papel que juega la educación en la puesta en valor de esa identidad cultural para lograr un desarrollo local sostenible

    Facing Non-Stationary Conditions with a New Indicator of Entropy Increase: The Cassandra Algorithm

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    We address the problem of detecting non-stationary effects in time series (in particular fractal time series) by means of the Diffusion Entropy Method (DEM). This means that the experimental sequence under study, of size NN, is explored with a window of size L<<NL << N. The DEM makes a wise use of the statistical information available and, consequently, in spite of the modest size of the window used, does succeed in revealing local statistical properties, and it shows how they change upon moving the windows along the experimental sequence. The method is expected to work also to predict catastrophic events before their occurrence.Comment: FRACTAL 2002 (Spain

    Educación para el desarrollo humano, educación como ayuda al crecimiento

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    El fenómeno social de la pobreza, es una de las mayores preocupaciones de las políticas de desarrollo a escala mundial, y es también uno de los más dificiles de solucionar. A pesar de los logros conseguidos hasta el momento, no se ha podido romper su presencia cíclica en todos los países del planeta. Con la mirada esperanzada puesta en el futuro, se propone en este trabajo titulado “Educación para el desarrollo humano, educación como ayuda al crecimiento”, una tesis sencilla: se trata de procurar prepapar el desarrollo, a través de la educación, en la infancia. Lo sugerente de la propuesta es que, aquí, se entiende la educación como ayuda al crecimiento y que el desarrollo para ser eficaz debe ser puesto en marcha en el ámbito más cercano a las personas: el local o comunitario. Así, y como forma de luchar contra la pobreza, se propone una educación que, desde la infancia, prepare a los individuos para actuar de forma libre, comprometida y responsable en la mejora de las condiciones de vida que le rodean. Cuánto más crezca cada miembro de la comunidad como persona, más activamente podrá luchar contra la pobreza y a favor de su propio desarrollo y el de sus convecinos

    Memory beyond memory in heart beating: an efficient way to detect pathological conditions

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    We study the long-range correlations of heartbeat fluctuations with the method of diffusion entropy. We show that this method of analysis yields a scaling parameter δ\delta that apparently conflicts with the direct evaluation of the distribution of times of sojourn in states with a given heartbeat frequency. The strength of the memory responsible for this discrepancy is given by a parameter ϵ2\epsilon^{2}, which is derived from real data. The distribution of patients in the (δ\delta, ϵ2\epsilon^{2})-plane yields a neat separation of the healthy from the congestive heart failure subjects.Comment: submitted to Physical Review Letters, 5 figure

    L\'{e}vy scaling: the Diffusion Entropy Analysis applied to DNA sequences

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    We address the problem of the statistical analysis of a time series generated by complex dynamics with a new method: the Diffusion Entropy Analysis (DEA) (Fractals, {\bf 9}, 193 (2001)). This method is based on the evaluation of the Shannon entropy of the diffusion process generated by the time series imagined as a physical source of fluctuations, rather than on the measurement of the variance of this diffusion process, as done with the traditional methods. We compare the DEA to the traditional methods of scaling detection and we prove that the DEA is the only method that always yields the correct scaling value, if the scaling condition applies. Furthermore, DEA detects the real scaling of a time series without requiring any form of de-trending. We show that the joint use of DEA and variance method allows to assess whether a time series is characterized by L\'{e}vy or Gauss statistics. We apply the DEA to the study of DNA sequences, and we prove that their large-time scales are characterized by L\'{e}vy statistics, regardless of whether they are coding or non-coding sequences. We show that the DEA is a reliable technique and, at the same time, we use it to confirm the validity of the dynamic approach to the DNA sequences, proposed in earlier work.Comment: 24 pages, 9 figure

    Compression and diffusion: a joint approach to detect complexity

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    The adoption of the Kolmogorov-Sinai (KS) entropy is becoming a popular research tool among physicists, especially when applied to a dynamical system fitting the conditions of validity of the Pesin theorem. The study of time series that are a manifestation of system dynamics whose rules are either unknown or too complex for a mathematical treatment, is still a challenge since the KS entropy is not computable, in general, in that case. Here we present a plan of action based on the joint action of two procedures, both related to the KS entropy, but compatible with computer implementation through fast and efficient programs. The former procedure, called Compression Algorithm Sensitive To Regularity (CASToRe), establishes the amount of order by the numerical evaluation of algorithmic compressibility. The latter, called Complex Analysis of Sequences via Scaling AND Randomness Assessment (CASSANDRA), establishes the complexity degree through the numerical evaluation of the strength of an anomalous effect. This is the departure, of the diffusion process generated by the observed fluctuations, from ordinary Brownian motion. The CASSANDRA algorithm shares with CASToRe a connection with the Kolmogorov complexity. This makes both algorithms especially suitable to study the transition from dynamics to thermodynamics, and the case of non-stationary time series as well. The benefit of the joint action of these two methods is proven by the analysis of artificial sequences with the same main properties as the real time series to which the joint use of these two methods will be applied in future research work.Comment: 27 pages, 9 figure
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