Thesis (Ph.D.)--Biology, Georgia Institute of Technology, 2008. / Committee Chair: Patricia Sobecky; Committee Member: Ellery Ingall; Committee Member: Jim Spain; Committee Member: Martial Taillefert; Committee Member: Thomas DiChristina.

Thesis (J.C.D.)--Catholic University of America, 1926. / Vita. Published also without thesis note. "Bibliography": p. 407-420.

Thesis (doctoral)--Universität St. Gallen, 2006.

Assignment (MComm)--University of Stellenbosch, 2005. / Bibliography. Also available via the Internet.

Thesis (Ph. D.)--University of Texas at Dallas, 2006. / Includes vita. Includes bibliographical references (leaves 92-93).

Climate models have anticipated higher future extreme precipitations and streamflows for various regions. Urban stormwater facilities are vulnerable to these changes as the design assumes stationarity. However, recent climate change studies have argued about the existence of non-stationarity of the climate. Distribution method adopted on extreme precipitation varies spatially and may not always follow same distribution method. In this research, two different natural extremities were analyzed for two separate study areas. First, the future design storm depth based on the stationarity of climate and GEV distribution method was examined with non-stationarity and best fit distribution. Second, future design flood was analyzed and routed on a river to estimate the future flooding. Climate models from North American Regional Climate Change Assessment Program (NARCCAP) and Coupled Model Intercomparison Project phase 5 (CMIP5) were fitted to 27 different distribution using Chi-square and Kolmogorov Smirnov goodness of fit. The best fit distribution method was used to calculate design storm depth as well as design flood. Climate change scenarios were adopted as delta change factor, a downscaling approach to transfer historical design value to the climate adopted future design value. Most of the delta change factor calculated were higher than one, representing strong climate change impact on future. HEC-HMS and HEC-RAS models were used to simulate the stormwater infrastructures and river flow. The result shows an adverse effect on stormwater infrastructure in the future. The research highlights the importance of available climate information and suggests a possible approach for climate change adaptation on stormwater design practice.

Made available in DSpace on 2014-06-11T19:32:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2007Bitstream added on 2014-06-13T19:25:54Z : No. of bitstreams: 1 berezuck_ag_dr_prud.pdf: 3585867 bytes, checksum: 369d960412156cb7787dd35cbfac2fd4 (MD5) / A análise dos modos de atuação dos mecanismos atmosféricos é uma das bases da ciência climatológica, pois, através dessas, os pesquisadores estão aptos a fazer as diagnoses regionais, as prognoses climáticas, avaliar o possível impacto de variações climáticas e desenvolver projetos para mitigá-los. Seguindo essa lógica, foi elaborada a análise de adversidade climática do oeste paulista e do norte do Paraná. Para a efetuação dessa tarefa, foi utilizada a técnica de análise rítmica de Monteiro, sendo pesquisados os anos de 1997, 1998 e 2001 nas localidades de Presidente Prudente, Maringá e Londrina. Além da pesquisa dos dados diários desses três anos, em que foram criados 108 gráficos de análise rítmica e 108 gráficos de eventos climáticos, foram analisados 27 anos de dados mensais e anuais (1976- 2003) que possibilitaram a elaboração de 54 figuras, 67 tabelas, 102 gráficos e 9 organogramas, em que foram analisadas as características atmosféricas regionais, observando possíveis tendências de alterações climáticas futuras. Foram constatados, ao longo da análise, que a área de estudo está passando por um processo de aquecimento de até 1ºC, além de um processo de fortalecimento sazonal, com as estações mais secas e chuvosas tornando-se mais bem definidas, o que pode causar, futuramente, uma maior quantidade de eventos extremos e adversidades climáticas, que, por sua vez, podem afetar as cidades e a produção agrícola. / Analyzing how the atmospheric mechanisms act is a great base of the climate science because it allows the researches to know about the regional weather aspects, to discuss the possible impact of climatic variations and to develop projects in order to protect the region against these possible variations in the soon future. Following this idea, we elaborated an analysis about hazards in the Western Sao Paolo State and the North Parana State in Brazil. We based on the Monteiro rhythm analysis method to study the cities Presidente Prudente, Maringa and Londrina in the years 1997, 1998 and 2001. Through the search of diary weather statistics we created 108 rhythm analysis graphics and 108 climatic event graphics. Besides them, we studied 27 years of mensal and annual statistics (1976 - 2003) which allowed the creation of 54 figures, 67 tables, 102 graphics and 9 examples. Through these we analyzed regional climatic aspects, searching for future tendencies of climate variations. It was verified by the analysis a warming of one Celsius degree at the studied areas and also a process of sazonalization which showed more clearly the division of wet and dry seasons. We see that it could result in the future more cases of hazards that could affect the cities and the agricultural production. The thesis revels that the climatic rhythms study, the interpretation of regional climatic variation and the study of the necessary actions to protect the areas against hazards are complex questions which involve great series of variables that, sometimes, the statistical techniques are not able to solve, despite its powerful and recognition in science. Because of that, it is extremely important the careful interpretation of climatic aspects by rhythm paradigm, mainly linking it with statistical techniques as well.

Master of Science / Department of Kinesiology / Thomas J. Barstow / Background and Aim: The power-duration relationship accurately predicts exercise tolerance for constant power exercise performed in the severe intensity domain. At intensities above critical power (CP), the power-duration relationship establishes a hyperbolic curve. However, the prediction of exercise tolerance is currently unclear for work rates within the extreme intensity domain (durations <2min). We hypothesized that the power-duration relationship deviates from a linear 1/time relationship for WRs within the extreme intensity domain. Methods: Six men completed nine bilateral knee-extension tests on non-consecutive days and then performed 3 exercise tests in the severe intensity domain (S1-S3; T[subscript lim]>2–15min) and 4 in the extreme domain at 60%, 70%, 80%, and 90%1RM (T[subscript lim]<2min), in random order. Twitch force (Q[subscript tw]), maximal voluntary contraction (MVC), and voluntary activation (VA) were measured on the right vastus lateralis before and after <80s) each test; EMG was measured on the right vastus lateralis throughout each test. T[subscript lim] were plotted as a function of 1/Time. T[subscript lim] for the extreme intensities were compared to the predicted T[subscript lim] of the slope of the S1-S3 regression. Results: The r² for the severe domain 1/time model was 0.99 ± 0.007. T[subscript lim] for exercise at 60%1RM was not different than the predicted T¬lim, however, T¬lim for exercise at 70–90%1RM was shorter than the predicted T[subscript lim] (p<0.05). Post hoc analysis of the extreme domain (70–90%1RM) revealed a significant linear relationship, suggesting a W’ within the extreme domain (W’ext). T[subscript lim] of exercise at 60% 1RM was not different from the predicted value of the 1/Time relationship of the extreme domain. Q[subscript tw] and MVC were significantly decreased following exercise at S1-S3 and 60% 1RM, while no changes existed in Q[subscript tw] or MVC following exercise at 80 and 90%1RM. Further, no changes were found in VA following any exercise intensity. Conclusion: These data suggest that exercise tolerance in the extreme domain is limited by different factors than in the severe domain. However, there is a separate but measurable W’ext. Further, the factors limiting exercise in the extreme domain must be those from can be recovered by the time post-exercise measurements were made.

Made available in DSpace on 2014-06-12T16:01:12Z (GMT). No. of bitstreams: 2 arquivo7178_1.pdf: 1473982 bytes, checksum: a80205c97e4d02bb017cd160eec998a0 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2005 / A evolução da indústria de software vem seguindo as tendências do mercado global, onde fatores como alta qualidade, baixo custo de produção e manutenção, uso efetivo de recursos e time-to-market ditam os objetivos dos negócios. Além destas demandas, um novo fator está sendo incorporado: a customização de produtos para atender às necessidades únicas de cada cliente. Apesar de novas estratégias terem surgido na indústria de software no sentido de sistematizar o desenvolvimento de produtos de software, ainda existem vários desafios em torno da necessidade de construir produtos modulares e que possuam um alto grau de flexibilidade, como, por exemplo, o amadurecimento de um processo para a construção sistemática de produtos customizáveis de software e a solução dos problemas em torno da instanciação destes produtos para atender às necessidades particulares de diversos clientes. Através de uma análise de processos de software existentes foi possível identificar as lacunas deixadas pelos processos RUP e XP, no âmbito da customização e implantação de produtos de software. As abordagens focam no desenvolvimento de produtos de software, seja ele um serviço para um cliente específico (software sob encomenda) ou um produto fechado. Como resultado deste estudo, foi definida uma abordagem de processo de software cujo objetivo é orientar e apoiar na condução de projetos cujo foco é a customização e implantação de produtos de software. As principais contribuições deste trabalho são a formalização de um processo eficaz para a customização e implantação de produtos de software e que, ao mesmo tempo, seja vantajoso em termos de tempo e custo em relação ao desenvolvimento tradicional de software

In this thesis, we review the basic notions related to univariate regular variation and study some fundamental properties of regularly varying random variables. We then consider the notion of regular variation in the multivariate case. After collecting some results from multivariate regular variation for random vectors with values in $\mathbb{R}_{+}^{d}$, we discuss its properties and examine several examples of multivariate regularly varying random vectors such as independent and identically distributed random vectors, fully dependent random vectors and other models. We also present the elements of univariate and multivariate extreme value theory and emphasize the connection with multivariate regular variation. Some measures of extreme dependence such as the stable tail dependence function and the Pickands dependence function are presented. We end the study by conducting a data analysis using financial data. In the univariate case, graphical tools such as quantile-quantile plots, mean excess plots and Hill plots are used in order to determine the underlying distribution of the univariate data. In the multivariate case, non-parametric estimators of the stable tail dependence function and the Pickands dependence function are used to describe the dependence structure of the multivariate data.