Yes / We have used literature values for the solubility of vitamin K3 in organic solvents to obtain Abraham descriptorsfor vitamin K3. Although these descriptors themselves are not exceptional in any way, when combined withequations that we have already set out, they lead to the prediction of important properties of vitamin K3.These include the vapor pressure and heat of sublimation (necessary for the analysis of data on the concentrationof vitamin K3 in ambient air), and the partitions air-water, air-blood, air-lung, air-fat, air-skin, water-lipid, water-membrane, water-skin, as well as permeation from water through skin. Values of the partitions into biologicalphases are all quite large by comparison to those for organic compounds in general.

No description available.

The evolution of technology has led the research into new emerging wearable devices such as the Smart Glasses. This technology provides with new visualization techniques. Augmented Reality is an advanced technology that could significantly ease the execution of much complex operations. Augmented Reality is a combination of both Virtual and Actual Reality, making accessible to the user new tools to safeguard in the transfer of knowledge in several environments and for several processes. This thesis explores the development of an android based image recognition application. The feature point detectors and descriptors are used as they can deal great with the correspondence problems. The selection of best image recognition technique on the smart glasses is chosen based on the time taken to retrieve the results and the amount of power consumed in the process. As the smart glasses are equipped with the limited resources, the selected approach should use low computation on it by making the device operations uninterruptable. The effective and efficient method for detection and recognition of the safety signs from images is selected. The ubiquitous SIFT and SURF feature detectors consume more time and are computationally complex and require very high-level hardware components for processing. The binary descriptors are taken into account as they are light weight and can support low power devices in a much effective style. A comparative analysis is being done on the working of binary descriptors like BRIEF, ORB, AKAZE, FREAK, etc., on the smart glasses based on their performance and the requirements. ORB is the most efficient among the binary descriptors and has been more effective for the smart glasses in terms of time measurements and low power consumption.

A Recuperação de Imagens Baseada em Conteúdo (Content-Based Image Retrieval - CBIR) visa recuperar, em uma base de imagens, as ocorrências mais similares a uma imagem fornecida como modelo, a partir de características extraídas desses objetos. O uso dos conceitos de CBIR, embora bem explorado para recuperação de imagens bidimensionais, ainda é pouco explorado no domínio de objetos tridimensionais. A partir da identificação de lacunas na literatura a respeito da abordagem eficiente para recuperação destes objetos, o objetivo deste estudo foi definir, implementar e validar técnicas de recuperação destes objetos médicos tridimensionais com base no seu conteúdo considerando buscas globais e regionalizadas da estrutura tridimensional. Para atingir tal objetivo foram realizadas as seguintes atividades: revisão bibliográfica, definição da base de dados, implementação de descritores e métodos de comparação por similaridade, construção de um protótipo de sistema de recuperação, realização de testes com objetos médicos tridimensionais e análise dos resultados. Os resultados obtidos com os métodos desenvolvidos foram positivos, alcançando 90% de média de precisão no retorno da busca. Verificou-se que os descritores baseados em Harmônicos Esféricos podem ser adaptados para serem utilizados como descritores locais. Adicionalmente, verificou-se que a abordagem utilizando grafos bipartidos em conjunto com o cálculo de similaridade por meio de uma rede de fluxo, produziu resultados melhores do que os métodos que utilizaram abordagens clássicas de comparação. Em relação ao estudo de caso analisado, as Cardiomiopatias, foi possível constatar que as informações de idade e gênero contribuem para melhorar a precisão da recuperação, uma vez que essas informações podem influenciar diretamente a estrutura do ventrículo esquerdo. Além disso, em uma avaliação com usuários finais da área de Cardiologia, constatou-se que efetivamente esta abordagem pode auxiliar na composição de diagnósticos. Estes resultados confirmaram o potencial que a recuperação por conteúdo possui no contexto médico, além de contribuir com a área de Computação no sentido de ter desenvolvido técnicas para recuperação por conteúdo no domínio de objetos tridimensionais. / Content-Based Image Retrieval - CBIR aims to retrieval, in an image database, the most similar occurrences to an image provided as a query, from extracted characteristics of these objects. The use of CBIR concept, although exploited for recovery of twodimensional images, is still under explored in the three-dimensional objects knowledge field. Based on the identification of the current literature gaps regarding efficient approaches to retrieval these objects, the objective of this study was to define, implement and validate retrieval techniques of three-dimensional medical objects based on their content considering global and regionalized searches of the three-dimensional structure. In order to achieve this objective, the following activities were carried out: literature review, database definition, implementation of descriptors and methods of comparison by similarity, construction of a retrieval system prototype, tests with three-dimensional medical objects and results analysis. The results obtained with the methods developed were positive, reaching 90% of mean precision in the return of the search. It has been found that the descriptors based on Spherical Harmonics can be adapted to be used as local descriptors. Additionally, it was identified that the approach using bipartite graphs in conjunction with the similarity computation through network flow, produced better results than the methods that used classic approaches of comparison. Regarding the case study analyzed, the Cardiomyopathies, it was possible to verify that the information of age and gender contribute to improve the accuracy of the retrieval, since this information can directly influence the structure of the left ventricle. In addition, in an evaluation with end users of Cardiology area, it was verified that this approach can effectively aid in the diagnoses. These results confirmed the potential that content-based retrieval has in the medical context, as well as contribute to the Computing area in the sense of developing techniques for content-based in three-dimensional retrieval.

Omniprésents, la relation homme-machine est encore une définition ardue à cerner. Les ordinateurs réalisent dans le temps des tâches récurrentes. Ils aident ainsi l'homme à manipuler d'énormes quantités de données, souvent même plus rapidement et plus précisément que lui. Malgré cela, la capacité des ordinateurs demeure limitée lorsqu'il s'agit d'extraire automatiquement des informations d'images ou de vidéos, qui représentent pourtant des volumes de données extrêmement importants. La vision par ordinateur est un domaine qui inclut des méthodes d'acquisition, de traitement, d'analyse et de compréhension des images afin de produire de l'information numérique ou symbolique. Un axe de recherche contribuant au développement de ce domaine consiste à reproduire les capacités de la vision humaine par voie électronique afin de percevoir et de comprendre une image. Il s'agit de développer des algorithmes qui reproduisent une des capacités les plus étonnantes du cerveau humain à savoir la déduction des propriétés du monde purement externe au moyen de la lumière qui nous revient des divers objets qui nous entourent. Nos travaux de thèse s'inscrivent dans cet axe de recherche. Nous proposons plusieurs contributions originales s'inscrivant dans le cadre de résolution des problèmes de la reconnaissance et de la localisation des symboles graphiques en contexte. L'originalité des approches proposées réside dans la proposition d'une alliance intéressante entre l'Analyse Formelle de Concepts et la vision par ordinateur. Pour ce faire, nous nous sommes confrontés à l'étude du domaine de l'AFC et plus précisément l'adaptation de la structure du treillis de concepts et son utilisation comme étant l'outil majeur de nos travaux. La principale particularité de notre travail réside dans son aspect générique vu que les méthodes proposées peuvent être alliées à divers outils autre que le treillis de concepts en gardant les mêmes stratégies adoptées et en suivant une procédure semblable. Notre incursion dans le domaine de l'Analyse Formelle de Concepts et plus précisément notre choix de la structure du treillis de Galois appelé aussi treillis de concepts est motivé par les nombreux avantages présentés par cet outil. Le principal avantage du treillis de concepts est l'aspect symbolique qu'il offre. Il présente un espace de recherche concis, précis et souple facilitant ainsi la prise de décision. Nos contributions sont inscrites dans le cadre de la reconnaissance et de localisation de symboles dans les documents graphiques. Nous proposons des chaînes de traitement s'inscrivant dans le domaine de la vision par ordinateur / Computer vision is a field that includes methods for the acquisition, processing, analysis and understanding of images to produce numerical or symbolic information. A research contributing to the development of this area is to replicate the capabilities of human vision to perceive and understand images. Our thesis is part of this research axis. We propose several original contributions belonging to the context of graphics recognition and spotting context. The originality of the proposed approaches is the proposal of an interesting alliance between the Formal Concept Analysis and the Computer Vision fields. We face the study of the FCA field and more precisely the adaptation of the structure of concept lattice and its use as the main tool of our work. The main feature of our work lies in its generic aspect because the proposed methods can be combined with various other tools keeping the same strategies and following a similar procedure. Our foray into the area of the Formal Concept Analysis and more precisely our choice of the structure of the Galois lattice, also called concept lattice is motivated by the many advantages offered by this tool. The main advantage of concept lattice is the symbolic aspect. It is a concise, accurate and flexible search space thus facilitating decision making. Our contributions are recorded as part of the recognition and localization of symbols in graphic documents. We propose to recognize and spot symbols in graphical documents (technical drawings for example) using the alliance between the bag of words representation and the Galois lattice formalism. We opt for various methods belonging to the computer vision field

Made available in DSpace on 2016-04-04T18:29:31Z (GMT). No. of bitstreams: 1 Tese Cristina Pinho.pdf: 1181295 bytes, checksum: 18793115c9491aeb68d4b32d48855c78 (MD5) Previous issue date: 2005-02-18 / The present study is based on a German model of taxonomy of personality descriptors and it is part of a transcultural study about the subject. It refers to adjectives personality descriptors of the Portuguese language, based on the lexicon. The goals of the research are: a) build the Brazilian personality taxonomy, b) classify the personality descriptors in: Tendencies, Social rules, relations and effects, Temporary moods or activities, Appearance and physical characteristics, Terms are not personality relevant (and another categories that were indicated from judges), c) Describe the preponderancy of one category to another, d) Compare data from Brazilian taxonomy with others taxonomies. Ten psychologists participated, with different theorical approaches. The judges received the material personally or by email. The results indicated that 236 adjectives (25,15%) were selected for seven judges or more. From 938 adjectives, 89 (9,5%) were classified in Tendencies, 57 (6,1%) in Social rules, relations and effects, 78 (8,3%) in Temporary moods or activities, 11 (1,2%) in Appearance and physical characteristics and 1 (0,1%) in Terms are not personality relevant. Considering that the organization of the personality descriptors gives origin to a scientific database that will be functional for the improvement of techniques and instruments for the psychological assessment and tool for studies of personality it is suggested continuity of this work, and the development of research source from this. / Este estudo foi baseado num modelo alem?o de taxonomia de descritores da personalidade e faz parte de um estudo transcultural. Refere-se aos adjetivos que descrevem a personalidade. T?m-se como objetivos da pesquisa: a) Construir a taxonomia brasileira de adjetivos descritores da personalidade, b) Classificar os adjetivos descritores da personalidade nas categorias: Tend?ncias, Aspectos Sociais, Estados ou Condi??es Tempor?rios, Caracter?sticas Evidentes e Apar?ncia, Termos de Utilidade Limitada (e outras categorias indicadas pelos ju?zes), c) Descrever a preponder?ncia de uma categoria sobre a outra; d) Comparar os dados da taxonomia brasileira com outras taxonomias existentes. Foram participantes desta pesquisa dez psic?logos, de diferentes abordagens te?ricas e ?reas de atua??o. Os ju?zes receberam o material pessoalmente ou pela internet. Foram encontrados 236 adjetivos (25,15%) com concord?ncia entre os ju?zes de 70% ou mais. Do total de adjetivos (938) 89 (9,5%) foram classificados na categoria Tend?ncias, 57 (6,1%) em Aspectos Sociais, 78 (8,3%) em Estados ou Condi??es Tempor?rios, 11 (1,2%) em Caracter?sticas Evidentes e Apar?ncia e um (0,1%) em Termos de Utilidade Limitada. Considerando que a organiza??o dos adjetivos descritores da personalidade d? origem a uma base de dados cient?fica, que poder? servir para o aprimoramento de t?cnicas e instrumentos para a avalia??o psicol?gica e de ferramenta para estudos da personalidade, sugere-se a continuidade deste trabalho, e o desenvolvimento de pesquisas derivadas deste.

Este trabalho apresenta uma metodologia para inspeção de lentes oftalmológicas orgânicas esféricas durante seu processo de polimento. A metodologia consiste na obtenção de uma imagem em uma câmera de vídeo CCD, usando-se luz ultravioleta, da lente a ser inspecionada, e posterior processamento desta imagem para discriminar a presença de riscos de outros artefatos que poderão aparecer na imagem capturada. Para a detecção da presença de riscos foram utilizados os descritores de Fourier. Atenção especial foi dada à iluminação da lente, que é fator determinante na obtenção de uma boa qualidade de imagem. Os resultados mostram a eficiência do método e permitem sua utilização durante o processo de fabricação de lentes. / This work presents a methodology for inspection of spherical organic ophthalmic lenses during the polishing process. The methodology encompasses the capture of an ultraviolet image of the lens under inspection by a CCD video camera and associated processing of the image to discriminate between scratches on the lens and artifacts that can appear on the image. Fourier descriptors were used to detect the existence of scratches. Special attention was given to illumination which is a determining factor in grabbing an image with good quality. The results show that the method is efficient and that it can be used in the lens manufacturing process.

Os recursos genéticos vegetais apresentam um valor real e potencial para a agricultura em razão da sua importância em programas de melhoramento e conservação. Este estudo teve como objetivo principal caracterizar a diversidade genética e química do germoplasma de gengibre do Departamento de Genética da ESALQ/USP, por meio de 18 descritores fenotípicos, 13 combinações de marcadores AFLP e análise da composição química do óleo essencial. O germoplasma foi formado por acessos procedentes de distintos estados brasileiros, além de algúns acessos introduzidos da Colômbia. Durante as coletas, foram entrevistados 34 agricultores de três estados: São Paulo (SP), Espírito Santo (ES) e Paraná (PR), constatando-se que esta espécie é cultivada principalmente por agricultores familiares cuja fonte principal de renda é a agricultura. Na análise da composição química, um total de 61 compostos foram identificados, sendo que os acessos apresentaram variabilidade química segundo a análise de variância. O óleo essencial foi rico em monoterpenos (82,35%), destacando-se geranial (20,41%) e neral (13,36%) como os compostos mais abundantes. Os compostos α-zingibereno, 1,8-cineol, linalol e β-felandreno, foram importantes na análise da diversidade química e, portanto, determinantes no agrupamento baseado no método de ligação completa (LC-VD) que classificou o germoplasma em dois grupos de acessos: cultivares e cultivares locais. Na caracterização agromorfológica, pouca variação foi observada para variáveis qualitativas, enquanto que para variáveis quantitativas houve moderada a baixa variabilidade, embora alguns acessos divergentes foram identificados. A análise de componentes principais explicou 82% da variação total nos primeiros três componentes, sendo que a distribuição dos acessos no gráfico de dispersão foi congruente com os agrupamentos formados pelo método de otimização de Tocher, destacando-se os acessos Gen-18, Gen-24, Gen-65 e Gen-42 como os mais divergentes do germoplasma fenotípicamente. Na caracterização molecular, 13 combinações de primers AFLP geraram, em média, 113,5 locos polimórficos, com uma proporção de 96,85% de polimorfísmo na coleção global. As estimativas de diversidade genética de Nei (Hj), índice de Shannon (I) e número efetivo de alelos (ne), foram superiores nos acessos colombianos (0,501; 0,396 e 1,508, respectivamente), em relação aos acessos brasileiros. A AMOVA mostrou que a maior parte da variação (63%) ocorreu entre os dois países e o índice FST=0,153 corroborou este resultado, indicando alta diferenciação genética entre eles. Os agrupamentos fornecidos pelo Structure e o dendrograma baseado no complemento do coeficiente de Jaccard, foram consistentes entre si e demonstraram que a maioria dos acessos brasileiros são altamente similares, sendo que não há influência da procedência geográfica no padrão dos agrupamentos químicos, fenotípicos e moleculares. A introdução de novos materiais genéticos no Brasil, certamente contribuirá para uma base genética mais ampla deste cultivo. / Plant genetic resources exhibit a true and potential value for agriculture due to their importance in breeding and conservation programs. This study aimed to characterize the genetic and chemistry diversity of ginger germplasm of Genetics Department of the ESALQ/USP, through 18 phenotypic descriptors, 13 AFLP markers combinations and chemical composition analysis of essential oil. The germplasm was combined by accessions coming from diferent Brazilian states, along with some accessions introduced from Colombia. During the collection, 34 farmers were interviewed in three states: São Paulo (SP), Espírito Santo (ES) and Paraná (PR). Ginger is mainly cultivated by small farmers whose main income source is agriculture. In the chemical composition analysis, a total of 61 compounds were identified. The accessions presented chemical variability according to the analysis of variance. The essential oil was rich in monoterpenes (82.35%), being the geranial (20.41%) and the neral (13.36%), both referred to as citral, the most abundant compounds. The α-zingiberene, 1,8-cineole, linalool and β-phellandrene compounds were relevant in the chemical diversity analysis of the accessions, while the dendrogram based on the complete linkage method (LC-VD) classified the germplasm into two groups: landraces and cultivars accessions. In the agro-morphologic characterization, qualitative traits showed little variation, while moderate to low variability was observed for quantitative traits, although some divergent accessions were identified. The principal component analysis explained 82% of the total variation in the first three components, wherein the accessions distribution on the scatter plot was consistent with the groups formed by the Tocher method, with the Gen-18, Gen -24, Gen-65 and Gen-42 accessions as the most divergent ones from the phenotypically germplasm. In the molecular characterization, 13 AFLP markers combinations generated an average of 113.5 polymorphic loci, with a ratio of 96.85% of polymorphism in the overall collection. Estimates of Nei genetic diversity (Hj), Shannon index (I) and alleles effective number (ne) were higher in Colombian accessions (0.501; 0.396 and 1.508, respectively). The AMOVA showed that most of the variation (63%) occurs between the two countries and the FST=0.153 index suportted this result, indicating high genetic differentiation between Brazilian and Colombian accessions. The groupings provided by Structure and the dendrogram based on Jaccard coefficient complement were consistent with each other and showed that Brazilian accessions are genetically similar. In general, there is no influence of the accesses geographic origin in the chemical, phenotypic and molecular grouping pattern. The introduction of new genetic materials in Brazil, will certainly contribute to a broader genetic basis of this species.

One of the most prevalent inherited diseases is cystic fibrosis. This disease is caused by a mutation in a membrane protein, the cystic fibrosis transmembrane conductance regulator (CFTR). CFTR is known to function as a chloride channel that regulates the viscosity of mucus that lines the ducts of a number of organs. Generally, most of the prevalent mutations of CFTR are located in one of two nucleotide binding domains, namely, the nucleotide binding domain 1 (NBD1). However, some mutations in nucleotide binding domain 2 (NBD2) can equally cause cystic fibrosis. In this work, a hierarchical graph is built for NBD2. Using this model for NBD2, we examine the consequence of single point mutations on NBD2. We collate the wildtype structure with eight of the most prevalent mutations and observe how the NBD2 is affected by each of these mutations.

The study of particle morphology plays an important role in understanding the micromechanical behavior of cohesionless soil. Shear strength and liquefaction characteristics of granular soil depend on various morphological characteristics of soil grains such as their particle size, shape and surface texture. Therefore, accurate characterization and quantification of particle shape is necessary to study the effect of grain shape on mechanical behavior of granular assembly. However, the theoretical and practical developments of quantification of particle morphology and its influence on the mechanical response of granular assemblies has been very limited due to the lack of quantitative information about particle geometries, the experimental and numerical difficulties in characterizing and modeling irregular particle morphology. Motivated by the practical relevance of these challenges, this research presents a comprehensive approach to model irregular particle shape accurately both in two and three dimensions. To facilitate the research goal, a variety of natural and processed sand samples is collected from various locations around the world. A series of experimental and analytical studies are performed following the sample collection effort to characterize and quantify particle shapes of various sand samples by using Fourier shape descriptors. As part of the particle shape quantification and modeling, a methodology is developed to determine an optimum sample size for each sand sample used in the analysis. Recently, Discrete Element Method (DEM) has gained attention to model irregular particle morphology in two and three dimensions. In order to generate and reconstruct particle assemblies of highly irregular geometric shapes of a particular sand sample in the DEM environment, the relationship between grain size and shape is explored and no relationship is found between grain size and shape for the sand samples analyzed. A skeletonization algorithm is developed in this study in order to automate the Overlapping Discrete Element Cluster (ODEC) technique for modeling irregular particle shape in two and three dimensions. Finally, the two-dimensional and three-dimensional particle shapes are implemented within discrete element modeling software, PFC2D and PFC3D, to evaluate the influence of grain shape on shear strength behavior of granular soil by using discrete simulation of direct shear test.