7 resultados para LOW-FREQUENCY RAMAN SPECTROSCOPY
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Proceedings Institute of Acoustics (UK); vol. 25, nº2, p. 72-78.
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The Electrohysterogram (EHG) is a new instrument for pregnancy monitoring. It measures the uterine muscle electrical signal, which is closely related with uterine contractions. The EHG is described as a viable alternative and a more precise instrument than the currently most widely used method for the description of uterine contractions: the external tocogram. The EHG has also been indicated as a promising tool in the assessment of preterm delivery risk. This work intends to contribute towards the EHG characterization through the inventory of its components which are: • Contractions; • Labor contractions; • Alvarez waves; • Fetal movements; • Long Duration Low Frequency Waves; The instruments used for cataloging were: Spectral Analysis, parametric and non-parametric, energy estimators, time-frequency methods and the tocogram annotated by expert physicians. The EHG and respective tocograms were obtained from the Icelandic 16-electrode Electrohysterogram Database. 288 components were classified. There is not a component database of this type available for consultation. The spectral analysis module and power estimation was added to Uterine Explorer, an EHG analysis software developed in FCT-UNL. The importance of this component database is related to the need to improve the understanding of the EHG which is a relatively complex signal, as well as contributing towards the detection of preterm birth. Preterm birth accounts for 10% of all births and is one of the most relevant obstetric conditions. Despite the technological and scientific advances in perinatal medicine, in developed countries, prematurity is the major cause of neonatal death. Although various risk factors such as previous preterm births, infection, uterine malformations, multiple gestation and short uterine cervix in second trimester, have been associated with this condition, its etiology remains unknown [1][2][3].
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Conservação e Restauro, especialização em pintura sobre tela
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Dissertação para obtenção do Grau de Doutor em Química
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Dissertação para obtenção do Grau de Mestre em Conservação e Restauro
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Nowadays, authentication studies for paintings require a multidisciplinary approach, based on the contribution of visual features analysis but also on characterizations of materials and techniques. Moreover, it is important that the assessment of the authorship of a painting is supported by technical studies of a selected number of original artworks that cover the entire career of an artist. This dissertation is concerned about the work of modernist painter Amadeo de Souza-Cardoso. It is divided in three parts. In the first part, we propose a tool based on image processing that combines information obtained by brushstroke and materials analysis. The resulting tool provides qualitative and quantitative evaluation of the authorship of the paintings; the quantitative element is particularly relevant, as it could be crucial in solving authorship controversies, such as judicial disputes. The brushstroke analysis was performed by combining two algorithms for feature detection, namely Gabor filter and Scale Invariant Feature Transform. Thanks to this combination (and to the use of the Bag-of-Features model), the proposed method shows an accuracy higher than 90% in distinguishing between images of Amadeo’s paintings and images of artworks by other contemporary artists. For the molecular analysis, we implemented a semi-automatic system that uses hyperspectral imaging and elemental analysis. The system provides as output an image that depicts the mapping of the pigments present, together with the areas made using materials not coherent with Amadeo’s palette, if any. This visual output is a simple and effective way of assessing the results of the system. The tool proposed based on the combination of brushstroke and molecular information was tested in twelve paintings obtaining promising results. The second part of the thesis presents a systematic study of four selected paintings made by Amadeo in 1917. Although untitled, three of these paintings are commonly known as BRUT, Entrada and Coty; they are considered as his most successful and genuine works. The materials and techniques of these artworks have never been studied before. The paintings were studied with a multi-analytical approach using micro-Energy Dispersive X-ray Fluorescence spectroscopy, micro-Infrared and Raman Spectroscopy, micro-Spectrofluorimetry and Scanning Electron Microscopy. The characterization of Amadeo’s materials and techniques used on his last paintings, as well as the investigation of some of the conservation problems that affect these paintings, is essential to enrich the knowledge on this artist. Moreover, the study of the materials in the four paintings reveals commonalities between the paintings BRUT and Entrada. This observation is supported also by the analysis of the elements present in a photograph of a collage (conserved at the Art Library of the Calouste Gulbenkian Foundation), the only remaining evidence of a supposed maquete of these paintings. The final part of the thesis describes the application of the image processing tools developed in the first part of the thesis on a set of case studies; this experience demonstrates the potential of the tool to support painting analysis and authentication studies. The brushstroke analysis was used as additional analysis on the evaluation process of four paintings attributed to Amadeo, and the system based on hyperspectral analysis was applied on the painting dated 1917. The case studies therefore serve as a bridge between the first two parts of the dissertation.
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RESUMO:O conceito de doenças raras como entidade própria começou a ser divulgado na comunidade médica no início deste século. A perspectiva de congregar múltiplas patologias, com características diferentes, valorizando a baixa frequência com que ocorrem na população interessou a comunidade científica, famílias, indústria e serviços de saúde. Esperava-se encontrar estratégias para melhorar a qualidade dos cuidados de saúde prestados a estes doentes. Uma vez que a informação científica sobre doenças raras está dispersa por diversas fontes o primeiro grande desafio foi sistematizar de forma a obter o “estado da arte”. A investigação que decorreu entre 2001 e 2010 teve como objectivo principal a caracterização dos doentes e das doenças raras numa população com características restritas mas não fechada como é o caso da ilha de S. Miguel nos Açores. Foram identificados 467 doentes a partir de várias fontes e monitorizado o nascimento de recém-nascidos com doença rara durante 10 anos. A prevalência das doenças raras encontrada na ilha de S. Miguel foi de 0,34% e a inerente à definição de doença rara foi de 6 % a 8 % da população na União Europeia. A diferença encontrada poderá decorrer de se ter sobrestimado o verdadeiro valor da prevalência das doenças raras na União Europeia. A incidência de doenças raras determinada na amostra foi de 0,1% e a taxa de mortalidade por causa específica foi de 0,14‰. O diagnóstico foi confirmado por técnicas laboratoriais de citogenética ou genética molecular em 43% dos doentes da amostra. Não foi identificado nenhum agregado populacional com doença rara para além do já conhecido para a DMJ. A criação de uma metodologia de estudo implicou a construção de um registo de doentes. Para tal foi utilizado o conhecimento adquirido anteriormente sobre uma doença rara que serviu de paradigma: a doença de Machado-Joseph. Na sequência dos resultados obtidos foi considerado útil a introdução de variáveis como a figura do cuidador, o cônjuge, o número de filhos do casal, a data da primeira consulta de Genética, o tempo decorrido entre o início dos sintomas e o acesso à consulta de Genética e entre esta actividade e dispor do diagnóstico para melhor compreender o contexto de vida destes doentes na perspectiva de poderem vir a ser incorporadas como indicadores. ----------- ABSTRACT: The concept of rare diseases as a condition began to be disclosed in the medical community at the beginning of this century.The prospect of bringing together multiple pathologies, with different features, enhancing the low frequency with which they occur in the population interested the scientific community, families, industry and health care services. The aim was to find strategies to improve the quality of care provided to these patients. Given that the scientific information on rare diseases is spread out across several sources the first major challenge was to systematize in order to get the "state of the art". The research took place between 2001 and 2010 and had as its main objective the characterization of patients and rare diseases in a population with specific features, but not confined, like in the case of the São Miguel Island in Azores. During 10 years were identified 467 patients from multiple sources and were observed the newborns with rare diseases. Prevalence of rare diseases found in the São Miguel Island was 0,34% compared to the 6% to 8% by definition of rare disease in the population in European Union. This discrepancy may be explained by a likely frequency of overrated rare diseases in European Union. The incidence of rare diseases in the sample was 0,1% and the specific mortality rate was 0,14 ‰. This diagnosis was confirmed by cytogenetic or molecular genetics analysis in 43% of patients in the sample. No population cluster was identified with rare disease besides the already known for Machado-Joseph Disease. The methodology for the study involved the construction of a database of patients. For such purpose it was used previously acquired knowledge on a rare disease paradigm: the Machado-Joseph disease. It was useful to introduce the following variables to properly establish the results: caregiver, spouse, number of children, date of first Genetics appointment, elapsed time between onset of symptoms and access to first appointment as well as this and the final diagnosis to better understand the context of life of these patients in order to incorporate them as rates.