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Allele sharing models in gene mapping : a likelihood approach /Nicolae, Dan Liviu January 1999 (has links)
Thesis (Ph. D.)--University of Chicago, Dept. of Statistics, June 1999. / Includes bibliographical references. Also available on the Internet.
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Structure, thermodynamics and dynamics of confined and supercooled liquidsMittal, Jeetain, January 1900 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.
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Multi-modal image registration using ordinal features and generalized survival exponential entropy /Liao, Shu. January 2007 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 45-48). Also available in electronic version.
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Determinação da entropia de mistura amônia e água para aplicações em processos de refrigeração por absorçãoNapoleão, Diovana Aparecida dos Santos [UNESP] 03 1900 (has links) (PDF)
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napoleao_das_dr_guara.pdf: 1233136 bytes, checksum: e1780c6a0f02e82cd3c85543e0c3f36c (MD5) / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / Os sistemas de refrigeração por absorção da mistura amônia-água têm sido amplamente utilizados e referenciados na literatura. Normalmente, os modelos encontrados para análises são baseados considerando-se, dados de tabelas e diagramas para a entalpia em função da concentração. Para a análise de tabelas e diagramas de entropia em função da concentração de amônia na mistura, não se detém a mesma atenção, existindo ausência de dados disponíveis na literatura para esta propriedade termodinâmica. Estes sistemas apresentam-se complexos quanto aos parâmetros físico-químicos, tornando-se necessário um estudo mais aprofundado e detalhado da termodinâmica associada, corroborando para a determinação da inter-relação da entropia com outras propriedades associadas a refrigeração. Neste trabalho são formulados modelos de cálculos para o levantamento da entropia em função da temperatura, pressão e concentração de misturas amônia-água S = S (T, P, x). A confecção dos diagramas de entropia na fase líquido-vapor foram determinados visando auxiliar projetos industriais através de análises energéticas e exergéticas, simulação e otimização de processos relacionados ao sistema de refrigeração por absorção. / Refrigeration systems of the ammonia-water mixtures by absorption have been widely used and referred in the literature. Usually the models found for analyses are based taking in to account data of tables and diagrams for the enthalpy as a function of the concentration. For the analysis of tables and entropy diagrams in function of the concentration of ammonia in the mixture, it has not been taken the same attention, existing lack of available data in the literature for that thermodynamic property. These systems seem to be complex as for the physiochemical parameters, becoming necessary a deeper and detailed study on the associated thermodynamics, corroborating to determine the interrelation of the entropy with other associated refrigeration properties. In this work, calculation models to improve the entropy are formulated in function of temperature, pressure and concentration of the ammonia-water mixtures S = S (T, P, x). The performance of the entropy diagrams in the liquid-vapor phase was surely aiming to aid industrial projects through energy analyses and exergetic simulation and optimization of processes related to the system of cooling by absorption.
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Minimum Entropy Generation in the Cardiovascular System / Minimum entropy generation in the CVSSchaible, Niccole Stephanie January 2011 (has links)
This study was performed under the motivation to find a scheme that could
describe the complex behavior of cardiovascular homeostasis. This is hypothesized to
be manifested in a thermodynamic description of the cardiovascular system (CVS).
Seen from a thermodynamic framework, the mechanics of blood flow can be gauged in
similar terms as metabolic exchange at the capillaries - thereby providing a holistic
and novel perspective on overall CVS function. Entropy generation, a thermodynamic calculation, represents lost work and is hypothesized to reveal something about the "optimal" state of the CVS. In particular, it is hypothesized that the CVS state that generates minimal entropy, given certain
constraints, will be physiologically preferred and that cardiovascular control operates
to find this state. This will be tested by first proposing a method to calculate entropy
generation in the CVS, and secondly characterizing entropy generation across unique
CVS states by simulation of a mathematical model.
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The Fabric of Entropy: A Discussion on the Meaning of Fractional InformationZhang, Yuan 08 1900 (has links)
Why is the term information in English an uncountable noun, whereas in information theory it is a well-defined quantity? Since the amount of information can be quantified, what is the meaning of a fraction of that amount? This dissertation introduces a quasi-entropy matrix which developed from Claude Shannon's information measure as an analytical tool for behavioral studies. Such matrix emphasizes the role of relative characteristics of individual level data across different collections. The real challenge in the big data era is never the size of the dataset, but how data lead scientists to individuals rather than arbitrarily divided statistical groups. This proposed matrix, when combining with other statistical measures, provides a new and easy-to-do method for identifying pattern in a well-defined system because it is built on the idea that uneven probability distributions lead to decrease in system entropy. Although the matrix is not superior to classical correlation techniques, it allows an interpretation not available with traditional standard statistics. Finally, this matrix connects heterogeneous datasets because it is a frequency-based method and it works on the modes of data rather than the means of values. It also visualizes clustering in data although this type of clustering is not measured by the squared Euclidean distance of the numerical attributes.
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Information Theoretical Measures for Achieving Robust Learning MachinesZegers, Pablo, Frieden, B., Alarcón, Carlos, Fuentes, Alexis 12 August 2016 (has links)
Information theoretical measures are used to design, from first principles, an objective function that can drive a learning machine process to a solution that is robust to perturbations in parameters. Full analytic derivations are given and tested with computational examples showing that indeed the procedure is successful. The final solution, implemented by a robust learning machine, expresses a balance between Shannon differential entropy and Fisher information. This is also surprising in being an analytical relation, given the purely numerical operations of the learning machine.
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Complexity of the Electroencephalogram of the Sprague-Dawley RatSmith, Phillip James 27 July 2010 (has links)
No description available.
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Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study DataKirsch, Matthew Robert January 2010 (has links)
No description available.
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Holographic studies of thermalization and dissipation in strongly coupled theoriesTangarife García, Walter Orlando 18 September 2014 (has links)
This thesis presents a series of studies of thermalization and dissipation in a variety of strongly coupled systems. The main tool for these investigations is the Gauge/Gravity duality, which establishes a correspondence between a d+1-dimensional quantum theory of gravity and a d-dimensional quantum field theory. We study the decay rates of fluctuations around the thermal equilibrium in theories in non-commutative geometry. Rapid thermalization of such fluctuations is found and motivates the conjecture that the phenomena at the black hole horizon is described by non-local physics. In the same type of environment, we analyze the Langevin dynamics of a heavy quark, which undergoes Brownian motion. We find that the late-time behavior of the displacement squared is unaffected by the non-commutativity of the geometry. In a different scenario, we study the correlation functions in theories with quantum critical points. We compute the response of these quantum critical points to a disturbance caused by a massive charged particle and analyze its late time behavior. Finally, we analyze systems far-from-equilibrium as they evolve towards a thermal state. We characterize this evolution for systems with chemical potential by focusing on the ``strong subadditivity" property of their entanglement entropy. This is achieved on the gravity side by using time dependent functions for mass and charge in an AdS-Vaydia metric. / text
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