632 resultados para Hurst


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The random walk models with temporal correlation (i.e. memory) are of interest in the study of anomalous diffusion phenomena. The random walk and its generalizations are of prominent place in the characterization of various physical, chemical and biological phenomena. The temporal correlation is an essential feature in anomalous diffusion models. These temporal long-range correlation models can be called non-Markovian models, otherwise, the short-range time correlation counterparts are Markovian ones. Within this context, we reviewed the existing models with temporal correlation, i.e. entire memory, the elephant walk model, or partial memory, alzheimer walk model and walk model with a gaussian memory with profile. It is noticed that these models shows superdiffusion with a Hurst exponent H > 1/2. We study in this work a superdiffusive random walk model with exponentially decaying memory. This seems to be a self-contradictory statement, since it is well known that random walks with exponentially decaying temporal correlations can be approximated arbitrarily well by Markov processes and that central limit theorems prohibit superdiffusion for Markovian walks with finite variance of step sizes. The solution to the apparent paradox is that the model is genuinely non-Markovian, due to a time-dependent decay constant associated with the exponential behavior. In the end, we discuss ideas for future investigations.

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This paper is based on the undergraduate dissertation of Lindsey Stirling, which was supervised by Karen Milek, and which won the Society of Medieval Archaeology's John Hurst Memorial Dissertation Prize Acknowledgements This research would not have been possible without the assistance of Dr Martin Goldberg at the National Museum of Scotland, Lynda Aiano at Tankerness House Museum, Orkney, and Beverley Ballin Smith. The authors also wish to thank the two anonymous reviewers who provided valuable comments on earlier versions of this paper.

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This paper is based on the undergraduate dissertation of Lindsey Stirling, which was supervised by Karen Milek, and which won the Society of Medieval Archaeology's John Hurst Memorial Dissertation Prize Acknowledgements This research would not have been possible without the assistance of Dr Martin Goldberg at the National Museum of Scotland, Lynda Aiano at Tankerness House Museum, Orkney, and Beverley Ballin Smith. The authors also wish to thank the two anonymous reviewers who provided valuable comments on earlier versions of this paper.

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Acknowledgments We thank Nancy Barahona (IFOP), Rosemary Hurst (NIWA), Timothy Emery, FelipeBriceño and Jeremy Lyle (UTAS), Patricia Hobsbawn (ABARES), John Bower (HU), Mitsuo Sakai (TNFRI), Blue Ventures, SHOALS (Rodrigues), and the Fisheries Research and Training Unit (Rodrigues) for their assistance in sourcing time-series and providing catch and effort data, as well as Felipe Briceño and Eriko Hoshino (UTAS) for Spanish- and Japanese-to-English translation, respectively. This paper resulted from a workshop funded by The Environment Institute, University of Adelaide.

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Acknowledgements The Authors are indebted with Dr. Barbara Cerasetti, scientific coordinator of the Italian Archaeological Program in Turkmenistan (Dipartimento di Storia, Culture, Civiltà – Università di Bologna – Ministero per gli Affari Esteri – MAE), for the logistical help before and during the field activities in Turkmenistan. Our thanks to the administration of the National Institute of Deserts, Flora and Fauna, to the Turkmenistan Government and to Dr Aman Nigarov for the fruitful assistance in the field. We thank Prof. Marco Antonellini for the discussions on sandstone intrusions. The authors are indebted to the reviewers J. Peakall, P. Imbert, A. Hurst and an anonymous reviewer for the very helpful comments to the manuscript. Funding was provided by Prof. G. Gabbianelli for the field survey and by PRIN 2009 grants to Prof. Rossella Capozzi.

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Book review: The paradox of German power. By Hans Kundnani. London: Hurst. 2014. 147pp. £17.90. isbn 978 1 84904 415 8.

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Intellectual disability and cerebellar atrophy occur together in a large number of genetic conditions and are frequently associated with microcephaly and/or epilepsy. Here we report the identification of causal mutations in Sorting Nexin 14 (SNX14) found in seven affected individuals from three unrelated consanguineous families who presented with recessively inherited moderate-severe intellectual disability, cerebellar ataxia, early-onset cerebellar atrophy, sensorineural hearing loss, and the distinctive association of progressively coarsening facial features, relative macrocephaly, and the absence of seizures. We used homozygosity mapping and whole-exome sequencing to identify a homozygous nonsense mutation and an in-frame multiexon deletion in two families. A homozygous splice site mutation was identified by Sanger sequencing of SNX14 in a third family, selected purely by phenotypic similarity. This discovery confirms that these characteristic features represent a distinct and recognizable syndrome. SNX14 encodes a cellular protein containing Phox (PX) and regulator of G protein signaling (RGS) domains. Weighted gene coexpression network analysis predicts that SNX14 is highly coexpressed with genes involved in cellular protein metabolism and vesicle-mediated transport. All three mutations either directly affected the PX domain or diminished SNX14 levels, implicating a loss of normal cellular function. This manifested as increased cytoplasmic vacuolation as observed in cultured fibroblasts. Our findings indicate an essential role for SNX14 in neural development and function, particularly in development and maturation of the cerebellum.

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Doctor of Philosophy in Mathematics

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In recent years, the DFA introduced by Peng, was established as an important tool capable of detecting long-range autocorrelation in time series with non-stationary. This technique has been successfully applied to various areas such as: Econophysics, Biophysics, Medicine, Physics and Climatology. In this study, we used the DFA technique to obtain the Hurst exponent (H) of the profile of electric density profile (RHOB) of 53 wells resulting from the Field School of Namorados. In this work we want to know if we can or not use H to spatially characterize the spatial data field. Two cases arise: In the first a set of H reflects the local geology, with wells that are geographically closer showing similar H, and then one can use H in geostatistical procedures. In the second case each well has its proper H and the information of the well are uncorrelated, the profiles show only random fluctuations in H that do not show any spatial structure. Cluster analysis is a method widely used in carrying out statistical analysis. In this work we use the non-hierarchy method of k-means. In order to verify whether a set of data generated by the k-means method shows spatial patterns, we create the parameter Ω (index of neighborhood). High Ω shows more aggregated data, low Ω indicates dispersed or data without spatial correlation. With help of this index and the method of Monte Carlo. Using Ω index we verify that random cluster data shows a distribution of Ω that is lower than actual cluster Ω. Thus we conclude that the data of H obtained in 53 wells are grouped and can be used to characterize space patterns. The analysis of curves level confirmed the results of the k-means

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The study of complex systems has become a prestigious area of science, although relatively young . Its importance was demonstrated by the diversity of applications that several studies have already provided to various fields such as biology , economics and Climatology . In physics , the approach of complex systems is creating paradigms that influence markedly the new methods , bringing to Statistical Physics problems macroscopic level no longer restricted to classical studies such as those of thermodynamics . The present work aims to make a comparison and verification of statistical data on clusters of profiles Sonic ( DT ) , Gamma Ray ( GR ) , induction ( ILD ) , neutron ( NPHI ) and density ( RHOB ) to be physical measured quantities during exploratory drilling of fundamental importance to locate , identify and characterize oil reservoirs . Software were used : Statistica , Matlab R2006a , Origin 6.1 and Fortran for comparison and verification of the data profiles of oil wells ceded the field Namorado School by ANP ( National Petroleum Agency ) . It was possible to demonstrate the importance of the DFA method and that it proved quite satisfactory in that work, coming to the conclusion that the data H ( Hurst exponent ) produce spatial data with greater congestion . Therefore , we find that it is possible to find spatial pattern using the Hurst coefficient . The profiles of 56 wells have confirmed the existence of spatial patterns of Hurst exponents , ie parameter B. The profile does not directly assessed catalogs verification of geological lithology , but reveals a non-random spatial distribution

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La Revolución Espiritual promovida por el Dalai Lama plantea una unión entre espiritualidad y política. El proyecto de una ética universal, que se inscribe dentro de dicha Revolución, busca impactar la manera en que las relaciones internacionales se desarrollan, dándole prevalencia a los valores humanos. Sin embargo, esa proposición se encuentra ligada al contexto de exilio en el marco del conflicto sino-tibetano que afecta al continente asiático. Por esto, en la presente monografía, haciendo uso de los conceptos de marco de acción colectiva e identidad inscritos en la corriente de los movimientos sociales en la disciplina de las Relaciones Internacionales, se pretende determinar la relación entre identidad tibetana, marco de acción colectiva y la propuesta de una ética universal. Para ello se recurre, metodológicamente, a textos y a trabajo de campo en Bogotá. Así, se pretende establecer la relación entre espiritualidad y política como propuesta tibetana atravesada por el conflicto sino-tibetano.

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La presente investigación consiste en determinar las aplicaciones existentes de las teorías del caos y las teorías de la complejidad en la cadena de suministro del sector agroindustrial colombiano. Además, tiene como propósito describir el sector de la agroindustria y la cadena de suministro, identificar los modelos de caos y complejidad y posteriormente determinar cuáles de éstos son aplicables al sector. Se define el caos como una sub-disciplina de las matemáticas que estudia sistemas complejos o dinámicos y tiene inmerso implicaciones filosóficas; por otra parte complejidad es la cualidad que adquiere un sistema en el que hay diversos componentes relacionados. Se ha identificado que en el ámbito colombiano existen diferentes estudios enfocados en la construcción de modelos agroindustriales, donde se adopta el concepto de complejidad para calificar el atributo de dichos modelos que involucran la armonización e integración de diferentes actores, desde los productores hasta los consumidores. En este estudio se emplea un estudio monográfico de tipo documental teniendo como unidad de análisis la cadena de suministro del sector agroindustrial. Los resultados indican que las teorías del caos y complejidad se encuentran presentes dentro de la cadena de suministros del sector agroindustrial colombiano, ya que en ella se ocurre la interconexión entre productores, procesadores y comercializadores, interactuando entre ellos y presentando alteraciones en su comportamiento económico a lo largo del tiempo en función de variaciones de las condiciones iniciales influenciadas por variables macroeconómicas, ambientales, sociales y políticas.