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Esta pesquisa registra e analisa as criações de figurinos, desde a Itália até o Brasil, de Gianni Ratto, diretor, cenógrafo, iluminador e figurinista, além de autor e importante figura no teatro italiano e brasileiro. A catalogação, organização e digitalização das imagens de seus trabalhos resgata parte da história do teatro. Somada à investigação em fontes bibliográficas, e levando em consideração a história oral nos depoimentos registrados, a análise do seu acervo torna-se não apenas histórica, mas também cultural. Um estudo comparativo de três montagens do mesmo espetáculo (Elixir de Amor) em diferentes fases de sua carreira com Giorgio Strehler, no Teatro Scala, em 1951; no Theatro Municipal de São Paulo, em 1971; e com Antonio Pedro, no Teatro Municipal do Rio de Janeiro, em 1983 possibilita uma reflexão sobre os diferentes processos criativos em seu ¯processo de trabalho. no que tange à elaboração de figurinos teatrais. / This research focus and analyses costume creation, from Italy to Brazil, of Gianni Ratto, director, set, light and costume designer, also author and a very important person in both Brazilian and Italian theater. The cataloguing, organization and the creation of photo archives of the images rescue part of the theater history. Together with the investigation of varied bibliographical sources and considering oral history as documental information, the analysis of his collection becomes not only historical, but also cultural. A comparative study of three different mise-en-scènes of the same play (LElisir DAmore) in different moments of his career with Giorgio Strehler, in Teatro alla Scala, in 1951; at the Theatro Municipal de São Paulo, in 1971; and under Antonio Pedros direction, in the Teatro Municipal do Rio de Janeiro, in 1983 makes it possible to reflect on the different creative processes in his process of creation. In terms of costume creation.

MSTISLAW DOBUZHINSKII’S WORK AT THE STATE THEATRE [KAUNAS, LITHUANIA] By Živilė Ambrasaitė Stage designer Mstislaw Dobuzhinskii is best known as Russian artist in Western countries. But not less important part of his works (almost 40 stage settings for opera, ballet, drama plays) were done in 1925, 1929-1939 years in Lithuania – a country that Dobuzhinskii’s roots come from. Alas, the Dobuzhinskii’s Lithuanian period activity and artistic achievements are not well known abroad. Yet studies of his works in The State Theatre in Kaunas (temporary capital of Lithuania) wish to hope the comprehensiveness even in Lithuania. The author of this study discusses the main Dobuzhinskii’s works for The State Theatre in different contexts, reviews and artist’s influence on theatre scenography perception. Dobuzhinskii established main aesthetic ideas of World of Art society – revival of cultural traditions, neo-romantic stylization and retrospectivism. His art of stage decoration encouraged young Lithuanian artists to come out with their own ideas of all main components of a play uniting.

Esta pesquisa registra e analisa as criações de figurinos, desde a Itália até o Brasil, de Gianni Ratto, diretor, cenógrafo, iluminador e figurinista, além de autor e importante figura no teatro italiano e brasileiro. A catalogação, organização e digitalização das imagens de seus trabalhos resgata parte da história do teatro. Somada à investigação em fontes bibliográficas, e levando em consideração a história oral nos depoimentos registrados, a análise do seu acervo torna-se não apenas histórica, mas também cultural. Um estudo comparativo de três montagens do mesmo espetáculo (Elixir de Amor) em diferentes fases de sua carreira com Giorgio Strehler, no Teatro Scala, em 1951; no Theatro Municipal de São Paulo, em 1971; e com Antonio Pedro, no Teatro Municipal do Rio de Janeiro, em 1983 possibilita uma reflexão sobre os diferentes processos criativos em seu ¯processo de trabalho. no que tange à elaboração de figurinos teatrais. / This research focus and analyses costume creation, from Italy to Brazil, of Gianni Ratto, director, set, light and costume designer, also author and a very important person in both Brazilian and Italian theater. The cataloguing, organization and the creation of photo archives of the images rescue part of the theater history. Together with the investigation of varied bibliographical sources and considering oral history as documental information, the analysis of his collection becomes not only historical, but also cultural. A comparative study of three different mise-en-scènes of the same play (LElisir DAmore) in different moments of his career with Giorgio Strehler, in Teatro alla Scala, in 1951; at the Theatro Municipal de São Paulo, in 1971; and under Antonio Pedros direction, in the Teatro Municipal do Rio de Janeiro, in 1983 makes it possible to reflect on the different creative processes in his process of creation. In terms of costume creation.

Graduate stage design portfolio of Jessica Fialko

The objective of this diploma thesis is to perform a conceptual lay-out of a small launcher. Re- quirements have been defined in order to realize this first preliminary study and design of a small launcher. In that frame, a MATLAB code has been written in order to simulate the rocket tra- jectories. An optimization program on launcher staging has been written as well. To validate this code, the VEGA and Ariane 5 launchers have been used. Then from studies on existing launchers, simulations have been performed in order to find an optimum small launcher and later on to design more precisely the small launcher. As a requirement an upper stage has been newly designed for the purpose of the study. At the end, two small launchers have been considered: a three-stage launcher using the Zefiro 23 as a first stage, the Zefiro 9 as a second stage, and an upper stage using a 3kN thrust engine; a two-stage launcher using the Zenit booster engine in the first stage, and an upper stage using a 22kN thrust engine.

Indiana University-Purdue University Indianapolis (IUPUI) / Adverse drug events (ADEs) are injuries resulting from drug-related medical interventions. ADEs can be either induced by a single drug or a drug-drug interaction (DDI). In order to prevent unnecessary ADEs, many regulatory agencies in public health maintain pharmacovigilance databases for detecting novel drug-ADE associations. However, pharmacovigilance databases usually contain a significant portion of false associations due to their nature structure (i.e. false drug-ADE associations caused by co-medications). Besides pharmacovigilance studies, the risks of ADEs can be minimized by understating their mechanisms, which include abnormal pharmacokinetics/pharmacodynamics due to genetic factors and synergistic effects between drugs. During the past decade, pharmacogenomics studies have successfully identified several predictive markers to reduce ADE risks. While, pharmacogenomics studies are usually limited by the sample size and budget. In this dissertation, we develop statistical methods for pharmacovigilance and pharmacogenomics studies. Firstly, we propose an empirical Bayes mixture model to identify significant drug-ADE associations. The proposed approach can be used for both signal generation and ranking. Following this approach, the portion of false associations from the detected signals can be well controlled. Secondly, we propose a mixture dose response model to investigate the functional relationship between increased dimensionality of drug combinations and the ADE risks. Moreover, this approach can be used to identify high-dimensional drug combinations that are associated with escalated ADE risks at a significantly low local false discovery rates. Finally, we proposed a cost-efficient design for pharmacogenomics studies. In order to pursue a further cost-efficiency, the proposed design involves both DNA pooling and two-stage design approach. Compared to traditional design, the cost under the proposed design will be reduced dramatically with an acceptable compromise on statistical power. The proposed methods are examined by extensive simulation studies. Furthermore, the proposed methods to analyze pharmacovigilance databases are applied to the FDA’s Adverse Reporting System database and a local electronic medical record (EMR) database. For different scenarios of pharmacogenomics study, optimized designs to detect a functioning rare allele are given as well.

Traditional single stage design optimality procedures can be used to efficiently generate data for an assumed model y = f(x^(m),b) + ε. The model assumptions include the form of f, the set of regressors, x^(m) , and the distribution of ε. The nature of the response, y, often provides information about the model form (f) and the error distribution. It is more difficult to know, apriori, the specific set of regressors which will best explain the relationship between the response and a set of design (control) variables x. Misspecification of x^(m) will result in a design which is efficient, but for the wrong model. A Bayesian two stage design approach makes it possible to efficiently design experiments when initial knowledge of x^(m) is poor. This is accomplished by using a Bayesian optimality criterion in the first stage which is robust to model uncertainty. Bayesian analysis of first stage data reduces uncertainty associated with x^(m), enabling the remaining design points (second stage design) to be chosen with greater efficiency. The second stage design is then generated from an optimality procedure which incorporates the improved model knowledge. Using this approach, numerous two stage design procedures have been developed for the normal linear model. Extending this concept, a Bayesian design augmentation procedure has been developed for the purpose of efficiently obtaining data for variance modeling, when initial knowledge of the variance model is poor. / Ph. D.

Bayesian optimal designs have received increasing attention in recent years, especially in biomedical and clinical trials. Bayesian design procedures can utilize the available prior information of the unknown parameters so that a better design can be achieved. However, a difficulty in dealing with the Bayesian design is the lack of efficient computational methods. In this research, a hybrid computational method, which consists of the combination of a rough global optima search and a more precise local optima search, is proposed to efficiently search for the Bayesian D-optimal designs for multi-variable generalized linear models. Particularly, Poisson regression models and logistic regression models are investigated. Designs are examined for a range of prior distributions and the equivalence theorem is used to verify the design optimality. Design efficiency for various models are examined and compared with non-Bayesian designs. Bayesian D-optimal designs are found to be more efficient and robust than non-Bayesian D-optimal designs. Furthermore, the idea of the Bayesian sequential design is introduced and the Bayesian two-stage D-optimal design approach is developed for generalized linear models. With the incorporation of the first stage data information into the second stage, the two-stage design procedure can improve the design efficiency and produce more accurate and robust designs. The Bayesian two-stage D-optimal designs for Poisson and logistic regression models are evaluated based on simulation studies. The Bayesian two-stage optimal design approach is superior to the one-stage approach in terms of a design efficiency criterion. / Ph. D.