975 resultados para software project


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Dissertação de mestrado integrado em Engenharia Civil

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Dissertação de mestrado integrado em Engenharia Civil

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Dissertação de mestrado integrado em Engenharia Civil

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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

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This  report  intends  to  give  a  detailed  notion  about  the  entire  project  development  from  its  publications to communications; from the workshops to the software and BridgingBook patent. To make it clear we followed the Tasks timeline as presented in our proposal, adjusting dates, when they were changed. Because we followed a double take in prototyping/software development, we will also repeat some of the tasks in order to give information about each different phase and its dimensions, in an autonomous way.

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Fluorescence in situ hybridization (FISH) is based on the use of fluorescent staining dyes, however, the signal intensity of the images obtained by microscopy is seldom quantified with accuracy by the researcher. The development of innovative digital image processing programs and tools has been trying to overcome this problem, however, the determination of fluorescent intensity in microscopy images still has issues due to the lack of precision in the results and the complexity of existing software. This work presents FISHji, a set of new ImageJ methods for automated quantification of fluorescence in images obtained by epifluorescence microscopy. To validate the methods, results obtained by FISHji were compared with results obtained by flow cytometry. The mean correlation between FISHji and flow cytometry was high and significant, showing that the imaging methods are able to accurately assess the signal intensity of fluorescence images. FISHji are available for non-commercial use at http://paginas.fe.up.pt/nazevedo/.

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Recently, there has been a growing interest in the field of metabolomics, materialized by a remarkable growth in experimental techniques, available data and related biological applications. Indeed, techniques as Nuclear Magnetic Resonance, Gas or Liquid Chromatography, Mass Spectrometry, Infrared and UV-visible spectroscopies have provided extensive datasets that can help in tasks as biological and biomedical discovery, biotechnology and drug development. However, as it happens with other omics data, the analysis of metabolomics datasets provides multiple challenges, both in terms of methodologies and in the development of appropriate computational tools. Indeed, from the available software tools, none addresses the multiplicity of existing techniques and data analysis tasks. In this work, we make available a novel R package, named specmine, which provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, and feature selection. Importantly, the implemented methods provide adequate support for the analysis of data from diverse experimental techniques, integrating a large set of functions from several R packages in a powerful, yet simple to use environment. The package, already available in CRAN, is accompanied by a web site where users can deposit datasets, scripts and analysis reports to be shared with the community, promoting the efficient sharing of metabolomics data analysis pipelines.

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Relatório de estágio de mestrado em Ensino de Informática

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OBJECTIVE: To determine the coronary risk profile in adults and elderly in a community. METHODS: The study comprised a sample of adults (30-59 years, n=547) and the entire elderly population (60-74 years, n=1165) residing in Bambuí town, Brazil. The Framingham score based on sex, age, smoking, diabetes mellitus, systolic and diastolic blood pressure, total cholesterol, and HDL-C was used. The score based on age and sex was defined as "expected" and compared with the mean score obtained by the sum of all risk factors in each age group and sex (score "observed"). RESULTS: The difference between the scores "observed" and "expected" increased with aging in both sexes. Smoking increased the difference from 30 years of age onwards, in both sexes, and hypertension was important in men above the age of 30 years and in women above the age of 50 years. Diabetes and elevated total cholesterol increased the risk of the disease above the age of 50 years in both sexes. A higher level of HDL-C reduced the risk among men above the age of 30 years, with no significant difference among women. Less schooling (< 4 years versus ³ 4 years) was associated with a higher score in adults of both sexes, but not among the elderly. CONCLUSION: Based on these results, in the community studied, the risk of coronary artery disease may be reduced up to 44% in men and 38% in women.