O objetivo deste estudo foi identificar e comparar os tipos fundamentais das impressões digitais em indivíduos comprovadamente alcoolistas e não alcoolistas. A pesquisa avaliou 152 doentes alcoolistas internados para desintoxicação alcoólica no Hospital Dr. Adolfo Bezerra de Menezes - São José Rio Preto - São Paulo ( Brasil ), comparando-os com 144 indivíduos não alcoolistas, integrantes do Exército Brasileiro na ativa, que constituíram o grupo-controle. Todos os resultados foram submetidos à criteriosa análise estatística pelos testes adequados a este estudo. Os tipos fundamentais de maior frequência nos alcoolistas foram as presilhas internas, seguidas de presilhas externas, verticilos e arcos. No grupo-controle foram as presilhas internas, seguidas de verticilos, presilhas externas e arcos. Constatou-se uma predominância das presilhas internas na mão esquerda e de presilhas externas na mão direita em ambos os grupos. Os padrões datiloscópicos encontrados em todos os dedos, analisados em conjunto e isoladamente foram concordantes com os dados da literatura mundial nos estudos de indivíduos da população normal e, parcialmente, concordantes com a literatura específica de dermatóglifos e alcoolismo. Não se encontrou um padrão datiloscópico característico que pudesse ser sugestivo ou considerado fator de risco para alcoolismo / The aim of this study was to identify and compare the main types of fingerprints between established alcoholic and non-alcoholic individuals. In this study, 152 patients who were admitted for alcohol detoxification at the Hospital Dr. Adolfo Bezerra de Menezes, São José Rio Preto, São Paulo, Brasil, were evaluated in comparison with the control group, which constituted 144 non-alcoholic individuals who were on active duty in the Brazilian Army. All the results were subjected to thorough statistical analysis using appropriate tests. The main fingerprint patterns with the highest frequencies were ulnar loops, followed by radial loops, whorls, and arches among the alcoholics; and ulnar loops, followed by whorls, radial loops, and arches among the controls. In both groups, inner loops predominated in the left hand; and radials loops, in the right hand. The dactyloscopic patterns found on the fingers analyzed together and separately were consistent with published data from studies with healthy individuals and partially concordant with specific studies on dermatoglyphics and alcoholism. No characteristic dactyloscopic pattern was found that could be suggestive of or considered as a risk factor of alcoholism

This thesis uses methods from functional data analysis (FDA) to solve problems from three scientific areas of study. While the areas of application are quite distinct, the common thread of functional data analysis ties them together. The first chapter describes interactive open-source software for explaining and disseminating results of functional data analyses. Chapters two and three use curve alignment, or registration, to solve common problems in accelerometry and neuroimaging, respectively. The final chapter introduces a novel regression method for modeling functional outcomes that are trajectories over time. The first chapter of this thesis details a software package for interactively visualizing functional data analyses. The software is designed to work for a wide range of datasets and several types of analyses. This chapter describes that software and provides an overview ofFDA in different contexts. The second chapter introduces a framework for curve alignment, or registration, of exponential family functional data. The approach distinguishes itself from previous registration methods in its ability to handle dense binary observations with computational efficiency. Motivation comes from the Baltimore Longitudinal Study on Aging, in which accelerometer data provides valuable insights into the timing of sedentary behavior. The third chapter takes lessons learned about curve registration from the second chapter and use them to develop methods in an entirely new context: large multisite brain imaging studies. Scanner effects in multisite imaging studies are non-biological variability due to technical differences across sites and scanner hardware. This method identifies and removes scanner effects by registering cumulative distribution functions of image intensities values. In the final chapter the focus shifts from curve registration to regression. Described within this chapter is an entirely new nonlinear regression framework that draws from both functional data analysis and systems of ordinary equations. This model is motivated by the neurobiology of skilled movement, and was developed to capture the relationship between neural activity and arm movement in mice.

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Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 131-133).

Thesis (Ph.D.)--University of Delaware, 2009. / Principal faculty advisor: Sunil K. Agrawal, Dept. of Mechanical Engineering. Includes bibliographical references.

Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1744. Advisers: Xuelin Huang; Ralph F. Frankowski. Includes bibliographical references.

Thesis (M.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 76-78). Also available on the World Wide Web.

Thesis (Ph. D.)--University of Chicago, Dept. of Statistics, August 2001. / Includes bibliographical references. Also available on the Internet.

Thesis (M. Phil.)--University of Hong Kong, 1981.

Thesis (M.S.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains vii, 66 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 62-64).