Thesis (Ph.D.)--Ohio University, November, 2006. / Title from PDF t.p. Includes bibliographical references.

Algumas metapopulações de espécies, como formigas, vivem em colônias que crescem durante algum tempo e depois colapsam. Após o colapso poucos indivíduos sobrevivem. Esses indivíduos se dispersam tentando fazer novas colônias que podem ou não se estabelecer dependendo do ambiente que encontram. Recentemente, Schinazi (2015) usou cadeias de nascimento e morte em ambientes aleatórios para modelar tais populações, e mostrou que a dispersão aleatória é uma boa estratégia para a sobrevivência da população. Nesta tese, introduzimos outros modelos estocásticos de colonização e colapso para os quais consideramos restrições espaciais e diferentes tipos de colapsos. Obtemos para esses novos modelos condições de sobrevivência e extinção. Debatemos algumas situações nas quais a dispersão nem sempre é uma boa estratégia de sobrevivência. Além disso, discutimos a relação destes modelos com outros conhecidos na literatura. Técnicas de percolação, acoplamento e comparação com processos de ramificação convenientemente definidos são usadas para obter os resultados aqui estabelecidos. / Some metapopulations, such as ants, live in colonies that grow for a while and then collapse. Upon collapse, very few individuals survive. These individuals disperse, trying to establish new colonies that may or may not settle, depending on the environment they encounter. Recently, Schinazi (2015) used birth and death chains in random environments to model such populations, and showed that random dispersion is a good strategy for the survival of the population. In this thesis, we introduce other stochastic models of colonization and collapse for which we consider spatial constraints and different kinds of collapse. We obtain conditions for survival and extinction in these new models. We discuss some situations in which dispersion is not always a good survival strategy. In addition, we discuss the relation of these models to others known in the literature. Percolation and coupling techniques and comparison with suitably defined branching processes are used to obtain the results set forth herein.

Dans cette thèse nous étudions des représentations du groupe de Lorentz dans les sections du fibré cotangent sur le cône isotrope. Grâce aux transformations de Fourier et de Poisson nous construisons explicitement tous les opérateurs de brisure de symétrie qui apparaissent dans les lois de branchement des produits tensoriels de telles représentations. / In this thesis we study representations of the Lorentz group acting on sectionsof the cotangent bundle over the isotropic cone. Using Fourier and Poisson transforms we construct explicitly all the symmetry breaking operators that appear in branching laws of tensor products of such representations.

Algumas metapopulações de espécies, como formigas, vivem em colônias que crescem durante algum tempo e depois colapsam. Após o colapso poucos indivíduos sobrevivem. Esses indivíduos se dispersam tentando fazer novas colônias que podem ou não se estabelecer dependendo do ambiente que encontram. Recentemente, Schinazi (2015) usou cadeias de nascimento e morte em ambientes aleatórios para modelar tais populações, e mostrou que a dispersão aleatória é uma boa estratégia para a sobrevivência da população. Nesta tese, introduzimos outros modelos estocásticos de colonização e colapso para os quais consideramos restrições espaciais e diferentes tipos de colapsos. Obtemos para esses novos modelos condições de sobrevivência e extinção. Debatemos algumas situações nas quais a dispersão nem sempre é uma boa estratégia de sobrevivência. Além disso, discutimos a relação destes modelos com outros conhecidos na literatura. Técnicas de percolação, acoplamento e comparação com processos de ramificação convenientemente definidos são usadas para obter os resultados aqui estabelecidos. / Some metapopulations, such as ants, live in colonies that grow for a while and then collapse. Upon collapse, very few individuals survive. These individuals disperse, trying to establish new colonies that may or may not settle, depending on the environment they encounter. Recently, Schinazi (2015) used birth and death chains in random environments to model such populations, and showed that random dispersion is a good strategy for the survival of the population. In this thesis, we introduce other stochastic models of colonization and collapse for which we consider spatial constraints and different kinds of collapse. We obtain conditions for survival and extinction in these new models. We discuss some situations in which dispersion is not always a good survival strategy. In addition, we discuss the relation of these models to others known in the literature. Percolation and coupling techniques and comparison with suitably defined branching processes are used to obtain the results set forth herein.

Recently, was developed a new theory of the Jost function, within which, it was split in two terms involving on one side, singlevalued analytic functions of the energy, and on the other, factors responsible for the existence of the branching-points. For the single-valued part of the Jost function, a procedure for the powerseries expansion around an arbitrary point on the energy plane was suggested. However, this theory lacks a rigorous proof that these parts are entire functions of the energy. It also gives an intuitive (not rigorous) derivation of the domain where they are entire. In the present study, we ll this gap by using a method derived from the method of successive approximations. / Dissertation (MSc)--University of Pretoria, 2013. / gm2014 / Physics / unrestricted

I detta kandidatarbete har vi undersökt hur berättarstrukturen The Hero’s Journey kan användas för att skapa mera engagerande spelupplevelser. Vi gör detta genom att gå igenom en designprocess där vi använder oss av olika designmetoder för att skapa ett exempel på hur The Hero’s Journey kan appliceras i spelform. Resultatet av undersökningen blir ett spel där The Hero’s Journey används i ett Branching Narrative. Syftet med denna undersökning är att se hur The Hero’s Journey kan användas för att skapa en mera engagerande spelupplevelse och vi anser att detta kan vara givande för andra spelutvecklare som tänker använda sig av The Hero’s Journey strukturen för att skapa engagerande spel.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第21684号 / 医博第4490号 / 新制||医||1036(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 松田 道行, 教授 松田 秀一, 教授 椛島 健治 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

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Existing viscosity prediction methods and relevant literature are reviewed. An exhaustive review of group contribution, corresponding states, and interpolative prediction methods finds that even the best of these models produces large prediction errors and often require significant experimental data. Molecular dynamics simulation techniques for viscosity prediction are evaluated and compared to one another to determine the best choice for this work. A thorough investigation finds that Equilibrium Molecular Dynamics (EMD) simulations are the best option for reproducible and reliable liquid viscosity predictions. The many tuning parameters available in molecular dynamics simulations are investigated for their effects on prediction uncertainty and accuracy. Challenges associated with molecular dynamics predictions are discussed and a rigorous simulation and data analysis methodology is developed which addresses these issues. The TLVMie force field is developed to describe linear alkanes, branched alkanes, alkylbenzenes, and cycloalkanes. The method is developed with a "training set" of compounds and the transferability is evaluated with a completely different "test set" of compounds. Predictive capability with mixture viscosities is evaluated next without any re-fitting of the parameters determined from pure-component data. The TLVMie potential is shown to be significantly more accurate for both pure-components and mixtures, more reliable for compounds that differ greatly from the training set, and predictions are made without the experimental data requirements of other methods.

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