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A simbiose desenvolvida entre seres vivos e microrganismos desempenha um importante papel na relação saúde-doença do hospedeiro. Neste sentido, o corpo humano abriga uma grande e diversa comunidade de microrganismos, sendo as mucosas vaginal, intestinal e oral as principais superfícies mucosas do corpo feminino que abrigam as comunidades bacterianas de fundamental importância para a mulher. Estes microrganismos atuam no desenvolvimento e modulação do sistema imune, na manutenção e otimização de vias metabólicas e competem por sítios de colonização, prevenindo que microrganismos patogênicos estabeleçam colonização. A composição da microbiota feminina varia com a idade, pH, secreção hormonal, ciclo menstrual, uso de anticoncepcional e atividade sexual. O presente estudo buscou caracterizar a composição da microbiota do corpo feminino durante o período gestacional, comparando os achados entre gestantes e não gestantes saudáveis, através de técnicas de biologia molecular. Foram selecionadas 60 mulheres saudáveis para o estudo e coletadas amostras de secreção vaginal, fezes e swab oral de cada participante. O DNA das amostras foi extraído e submetido à sequenciamento do gene 16S rRNA e quantificado através da técnica de PCR em tempo real. Das participantes selecionadas, 42 eram gestantes e 18 eram mulheres não gestantes em idade reprodutiva. Observamos que a quantificação total de bactérias na vagina não apresentou diferenças entre gestantes e não gestantes. Houve aumento na abundância de Lactobacillus no sítio vaginal, bactérias produtoras de butirato na microbiota intestinal e Streptococcus na microbiota oral de mulheres grávidas quando comparadas com mulheres não gestantes. Além disso, observamos que a composição e a disposição dos gêneros encontrados sofrem uma modificação, tal como aumento de gêneros relacionados com a manutenção da homeostase no grupo de mulheres gestantes. O período gestacional influencia positivamente na composição da microbiota, garantindo assim a prevalência de gêneros bacterianos responsáveis pela manutenção das condições ideais para o desenvolvimento da gestação saudável. / The symbiosis developed between living organisms and microorganisms plays an important role in the health-disease relationship of the host. In this sense, the human body harbor a large and diverse community of microorganisms, the vaginal, intestinal and oral mucosa are the main mucosal surfaces of the female body that harbor bacterial communities of fundamental importance for women. These microorganisms act in the development and modulation of the immune system, in the maintenance and optimization of metabolic pathways and compete for colonization sites, preventing pathogenic microorganisms from establishing colonization. The composition of the female microbiota varies with age, pH, hormonal secretion, menstrual cycle, contraceptive use and sexual activity. The present study aimed to characterize the microbiota composition of the female body during the gestational period, comparing the findings between healthy and non - pregnant women through molecular biology techniques. Sixty healthy women were selected for the study and samples of vaginal secretion, stool and oral swab from each participant were collected. The DNA of the samples was extracted and submitted to the 16S rRNA gene sequencing and quantified by the real-time PCR technique. Were select, 42 were pregnant and 18 were non-pregnant women of reproductive age. We observed that the total quantification of bacteria in the vaginal samples did not present differences between pregnant and non-pregnant women. There was an increase in the abundance of Lactobacillus in the vaginal site, butyrate producing bacteria in the intestinal microbiota and Streptococcus in the oral microbiota of pregnant women when compared to nonpregnant women. In addition, we observed that the composition and arrangement of the genera found undergo a modification, such as an increase in genera related to the maintenance of homeostasis in the group of pregnant women. The pregnancy influences the composition of the microbiota, thus ensuring the prevalence of bacterial genera responsible for the maintenance of the ideal conditions for the development of healthy pregnancy.

The microstructure of polyolefins determines their macroscopic properties. Consequently, it is essential to predict how polymerization conditions will affect polyolefin microstructure. The most important microstructural distributions of ethylene/alfa-olefin copolymers made with coordination catalysts are their molecular weight (MWD), chemical composition (CCD), and comonomer sequence length (CSLD). Several mathematical models have been developed to predict these microstructural distributions; reliable techniques to estimate parameters for these models, however, are still poorly developed, especially for catalysts that have multiple site types, such as heterogeneous Ziegler-Natta complexes. Most commercial polyolefins are made with heterogeneous Ziegler-Natta catalysts, which make polyolefins with broad MWD, CCD, and CSLD. This behavior is attributed to the presence of several active site types, leading to a final product that can be seen as a blend of polymers made on the different catalyst site types. The main objective of this project is to develop a methodology to estimate the most important parameters needed to describe the microstructure of ethylene/alfa-olefin copolymers made with these multiple site-type catalysts. To accomplish this objective, we developed the Integrated Deconvolution Estimation Model (IDEM). IDEM estimates ethylene/alf-olefin reactivity ratios for each site type in two-steps. In the first step, the copolymer MWD, measured by high-temperature gel permeation chromatography, is deconvoluted into several Flory’s most probable distributions to determine the number of site types and the weight fractions of copolymer made on each of them. In the second estimation step, the model uses the MWD deconvolution information to fit the copolymer triad distributions measured by 13C NMR and estimate the reactivity ratios per site type. This is the first time that MWD and triad distribution information is integrated to estimate the reactivity ratio per site type of multiple site-type catalysts used to make ethylene/alfa-olefin copolymers. IDEM was applied to two sets of ethylene-co-1-butene copolymers made with a commercial Ziegler-Natta catalyst, covering a wide range of 1-butene fractions. In the first set of samples (EBH), hydrogen was used as a chain transfer agent, whereas it was absent in the second set (EB). Comparison of the reactivity ratio estimates for the sets of samples permitted the quantification of the hydrogen effect on the reactivity ratios of the different site types present in the Ziegler-Natta catalyst used in this thesis. Since 13C NMR it is an essential analytical step in IDEM, triad distributions for the EB and EBH copolymers were measured in two different laboratories (Department of Chemistry at the University of Waterloo, and Dow Chemical Research Center at Freeport, Texas). IDEM was applied to both set of triad measurements to find out the effect of interlaboratory 13C NMR analysis on reactivity ratio estimation.

The microstructure of polyolefins determines their macroscopic properties. Consequently, it is essential to predict how polymerization conditions will affect polyolefin microstructure. The most important microstructural distributions of ethylene/alfa-olefin copolymers made with coordination catalysts are their molecular weight (MWD), chemical composition (CCD), and comonomer sequence length (CSLD). Several mathematical models have been developed to predict these microstructural distributions; reliable techniques to estimate parameters for these models, however, are still poorly developed, especially for catalysts that have multiple site types, such as heterogeneous Ziegler-Natta complexes. Most commercial polyolefins are made with heterogeneous Ziegler-Natta catalysts, which make polyolefins with broad MWD, CCD, and CSLD. This behavior is attributed to the presence of several active site types, leading to a final product that can be seen as a blend of polymers made on the different catalyst site types. The main objective of this project is to develop a methodology to estimate the most important parameters needed to describe the microstructure of ethylene/alfa-olefin copolymers made with these multiple site-type catalysts. To accomplish this objective, we developed the Integrated Deconvolution Estimation Model (IDEM). IDEM estimates ethylene/alf-olefin reactivity ratios for each site type in two-steps. In the first step, the copolymer MWD, measured by high-temperature gel permeation chromatography, is deconvoluted into several Flory’s most probable distributions to determine the number of site types and the weight fractions of copolymer made on each of them. In the second estimation step, the model uses the MWD deconvolution information to fit the copolymer triad distributions measured by 13C NMR and estimate the reactivity ratios per site type. This is the first time that MWD and triad distribution information is integrated to estimate the reactivity ratio per site type of multiple site-type catalysts used to make ethylene/alfa-olefin copolymers. IDEM was applied to two sets of ethylene-co-1-butene copolymers made with a commercial Ziegler-Natta catalyst, covering a wide range of 1-butene fractions. In the first set of samples (EBH), hydrogen was used as a chain transfer agent, whereas it was absent in the second set (EB). Comparison of the reactivity ratio estimates for the sets of samples permitted the quantification of the hydrogen effect on the reactivity ratios of the different site types present in the Ziegler-Natta catalyst used in this thesis. Since 13C NMR it is an essential analytical step in IDEM, triad distributions for the EB and EBH copolymers were measured in two different laboratories (Department of Chemistry at the University of Waterloo, and Dow Chemical Research Center at Freeport, Texas). IDEM was applied to both set of triad measurements to find out the effect of interlaboratory 13C NMR analysis on reactivity ratio estimation.

Diplomová práce popisuje metodiku výpočtů částí náchylných k rozvoji mnoho-ohniskového únavového poškození (WFD). Nejdříve se práce zabývá rozborem předpisů letové způsobilosti souvisejících s WFD pro letadla certifikovaných podle FAR 23 v kategorii commuter. Následuje popis metodiky únavového výpočtu a predikce šíření trhliny. Dále jsou popsány řešení pro výpočet faktoru intenzity napětí pro základné konfigurace trhliny, tam kde to bylo možné v uzavřeném tvaru, jinak ve formě tabulky. Hlavní částí práce je návrh algoritmu AIMA schopného provést kompletní analýzu části náchylné k rozvoji únavového poškození na více místech (MSD). Model se validoval únavovou zkouškou vzorku přeplátovaného spoje dolního panelu křídla. Následně byla analyzována reálná konstrukce spoje dolních panelů křídla letounu L 410 NG.