Thesis (M.A.)--Rowan University, 2007. / Typescript. Includes bibliographical references.

Thesis (M.A.)--University of California, Santa Cruz, 1997. / "Text by Allen Ginsberg"--p. 1. For Bb clarinet, tenor saxophone, piano, amplified double bass or electric bass, percussion, spoken voice. Typescript.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1973. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliography.

Thesis (M.M.)--University of Michigan, 1957.

Thesis (D. Mus. Arts)--University of Washington, 2006. / For mezzo, baritone, flute, clarinet, bass clarinet, guitar, banjo, violin, cello and 2 percussionists. Texts by Walt Whitman, Hamlin Garland, David Wagoner, Mary Austin, and John Haines. Vita. Includes bibliographical references (leaf 156).

Orientador: Maria Regina Bueno Franco / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos / Made available in DSpace on 2018-07-22T12:21:51Z (GMT). No. of bitstreams: 1 Bastos_DeborahHelenaMarkowicz_D.pdf: 6184052 bytes, checksum: a4756459e9ed21ea48d7561724e0ca0d (MD5) Previous issue date: 1996 / Resumo: Os compostos voláteis de méis de eucalipto e laranja recém extraídos dos favos, provenientes de São Paulo e Minas Gerais foram isolados pela técnica de "Headspace" Dinâmico, empregando-se polímero Porapak Q, e separados por cromatografia gasosa de alta resolução. A metodologia de isolamento foi padronizada para o tempo de captura dos voláteis e o solvente para eluição do polímero, levando- se em consideração o cromatograma obtido e a intensidade de aroma característico de mel, à partir do isolado obtido. Foram detectados 21 picos referentes aos compostos voláteis no mel de eucalipto, dos quais foram identificados por espectrometria de massas e índice de Kovats, os compostos nonanal, 2-heptanona, 2-heptanol, octanol e nonanol. Em mel de laranja, foram detectados 21 picos referentes aos compostos voláteis, entre os quais foram identificados o benzaldeído, o óxido eis de linalol, n-heptanal, 6-metil-5-hepten-2-ona, octanal, fenilacetaldeído, 2-isononenal, e 1-p-menten-9-al. O fenilacetaldeído foi o composto majoritário nos dois lotes analisados. A composição de voláteis diferiu de acordo com a origem floral dos méis analisados. A descrição sensorial dos méis de eucalipto e laranja foi obtida por Análise Descritiva Quantitativa, e resultou nos descritores "queimado" e "remédio" para caracterizar o sabor e o aroma de mel de eucalipto, enquanto os termos "floral" e "cera" foram empregados para descrever o sabor e aroma do mel de laranja. A Análise dos Compostos Principais mostrou que os méis estudados puderam ser classificados segundo estes descritores. Entre os compostos identificados, o nonanal e o nonanol apresentaram contribuição sensorial ao mel de eucalipto, tendo sido descritos como "eucalipto" e "queimado", respectivamente. Para o mel de laranja, o fenilacetaldeído mostrou importante contribuição sensorial, tendo sido descrito como "floral", assim como o benzaldeído, que foi descrito como "cítrico". Foram estudados também, o efeito do processamento e do armazenamento sobre os compostos voláteis dos méis de eucalipto e laranja. Após a retirada dos favos, os méis foram decantados e aquecidos à 40°C/ 3 horas. O processamento acarretou mudanças significativas no perfil dos compostos voláteis de mel de eucalipto. O armazenamento dos méis foi feito à temperatura ambiente e à temperatura refrigerada durante 1, 2 e 3 meses, o que resultou em mudanças quantitativas nos compostos voláteis relativamente ao mel recém extraído dos favos, sendo estas mudanças mais pronunciadas à temperatura ambiente. Um novo composto foi detectado após 3 meses de armazenamento do mel de laranja. Avaliou-se também, o perfil cromatográfico dos compostos voláteis de méis de eucalipto e laranja adquiridos no comércio. Os compostos voláteis de mel de eucalipto apresentaram maior variabilidade entre os méis analisados, e o nonanal, composto sensorialmente importante (descrito como "eucalipto"), diminuiu de concentração relativamente ao mel recém extraído do favo. Os méis de laranja apresentaram um perfil qualitativo equivalente, e o fenilacetaldeído, composto majoritário no mel recém extraído do favo e o mais importante sensorialmente (descrito como "floral"), também diminuiu de concentração em todos os méis analisados, relativamente ao mel recém extraído dos favos. / Abstract: Volatile compounds of orange and eucalyptus honey from São Paulo and Minas Gerais were isolated by a Dinamic Headspace methodology on porapak Q, and separated by high resolution gas chromatography. The best solvent and the best time for concentration of the volatile compounds on Porapak Q were determined by analysing both the obtained chromatogram, and the characteristic honey aroma of the isolated volatiles. Twenty one peaks representative of the volatile compounds were detected in the eucalyptus honey, from which nonanal, 2-heptanone, 2-heptanol, octanol and nonanol were identified by mass espectrometry and Kovats index . In orange honey another 21 peaks representative of the volatile compounds were detected, from which benzaldehyde, cis linalool oxide, n-heptanal, 6-methyl-5-hepthen-2-one, octanal, phenylacetaldehyde, 2-isononenal, and 1-p-menthen-9-al were identified as described above. Phenylacetaldehyde was the major compound in both orange honeys analysed.The volatile composition differed according to the floral souce of the honeys. The sensorial description of eucalyptus and orange honey obtained by Quantitative Descriptive Analysis showed that the terms "burned" and "medicine " were related to eucalyptus honey, while "wax" and "floral " were related to orange honey.The Principal Component Analysis showed that these honeys could be classified according to these terms. Among the identified compounds, nonanal and nonanol were important to the characteristic aroma of eucalyptus honey, and were described as "eucalyptus" and "medicine" respectively. Phenylacetaldehyde and benzaldehyde were important compounds to the orange honey aroma, as they were described as "floral¿ and "citric" by the technique of "sniffing", respectively." The effect of processing and storage on honey volatile composition were studied. The honey was extracted from the honey comb, then heated to 40°C/3 hours. The processing steps led to significative changes in eucalyptus honey volatile compounds. The storage of the honey during 1, 2 or 3 months under ambient temperature or refrigerated temperature led to changes in the volatile profile of the honey samples as compared to the volatile profile of the honey extracted from the honeycomb, and these changes were more important at room temperature. A new compound was detected after 3 months storage of orange honey. The volatile compounds profile of some comercial eucalyptus and orange honeys were also analysed. The volatile compounds of eucalyptus honey showed great variability between the honey samples, and the nonanal compound, which was sensorially important (described as "eucalyptus"), was at a lower relative percentage than that of the honey extracted directly from the honeycomb. The orange honey sample showed an equivalent qualitative profile, and phenylacetaldheyde, which was the major volatile of the honey extracted from the honeycomb, and a very important compound to the characteristic aroma (described as "floral"), decreased its relative abundance for all the honey samples as compared to the honey extracted directly from the honeycomb. / Doutorado / Doutor em Ciência de Alimentos

Not only basic research in sciences, but also medicine, law, and manufacturing need statistical techniques, including graphics, to assess disagreement. For some items or individuals ⍳ = 1,2,---,ո suppose that pairs (X⍳,Y⍳) denote each item's measurements by two distinct methods or by two observers, or X⍳ and Y⍳ may be initial and repeat measurement scores, with discrepancy D⍳ = X⍳ - Y⍳. Disagreement may be characterized by location and scale parameters of discrepancy distributions. The present work primarily addresses estimation of central tendency - relative bias or median discrepancy (or discrepancy rate in some instances). Most previous literature on "agreement" or "reliability" instead concerns X, Y correlation, which can be regarded as the complement of discrepancy variance. (There is ambiguity or confusion about concepts of "reliability" in the literature of various applications.) Discrepancies D₁, D₂, • • •, Dո in practice often violate assumptions of standard statistical models and methods that have been commonly applied in studies of agreement. In particular, both X⍳ and Y⍳ generally incorporate measurement errors. Further, these two measurement error distributions for the ⍳th item need not be the same; and both distributions could depend on the magnitude µ⍳, of the item being measured. Hence, for example, discrepancy D⍳ could have variance proportional to the size of the item; and in general D₁, D₂, • • •, Dո are not identically distributed. Finally, the selection of items ⍳ = 1,2, • • •, ո often is not random. To estimate median discrepancy, we consider nonparametric confidence intervals corresponding to Student t test, sign test, Wilcoxon signed rank test, or other permutation tests. Several criteria are developed to compare the performance of one procedure relative to another, including expected ratio of confidence interval lengths (related to Pitman asymptotic relative efficiency of tests) and relative variability of interval lengths. Theoretical calculations and Monte Carlo simulation results suggest different procedural preferences for random sampling from different distributions. For discrepancies distributed non-identically, but symmetrically about a common median value, mixture sampling is used as an approximate model. This approach is related to a "random walk" (rather than random sample) model of D₁, D₂, • • •, Dո proposed particularly for discrepancies between counting processes. We also emphasize graphic methods, especially plots of difference of Y - X versus average (X + Y)/2, for exploratory analysis of discrepancy data and to choose appropriate statistical models and numerical methods. Various data sets are analyzed as examples of the methodology. / Science, Faculty of / Statistics, Department of / Graduate

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