856 resultados para Industria farmacêutica - Sistemas de recuperação da informação
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Informação - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Computação - IBILCE
Visualização da informação colaborativa por meio de um ambiente multiprojetado e dispositivos móveis
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Pós-graduação em Ciência da Computação - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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O artigo apresenta uma análise da operacionalidade das Folksonomias e a possibilidade de aplicação dessa ferramenta nos sistemas de organização da informação da área de Ciência da Informação. Para tanto foi realizada uma análise de coerência de tags e dos recursos disponíveis para etiquetagem em dois websites, a Last.fm e o CiteULike. Por meio dessa análise constatou-se que em ambos os websites ocorreram incoerências e discrepâncias nas tags utilizadas. Todavia, o sistema da Last.fm demonstrou-se mais funcional que o do CiteULike obtendo um desempenho melhor. Por fim, sugere-se a junção das Folksonomias às Ontologias, que permitiriam a criação de sistemas automatizados de organização de conteúdos informacionais alimentados pelos próprios usuários
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RESUMEN Las enfermedades cardiovasculares constituyen en la actualidad la principal causa de mortalidad en el mundo y se prevé que sigan siéndolo en un futuro, generando además elevados costes para los sistemas de salud. Los dispositivos cardiacos implantables constituyen una de las opciones para el diagnóstico y el tratamiento de las alteraciones del ritmo cardiaco. La investigación clínica con estos dispositivos alcanza gran relevancia para combatir estas enfermedades que tanto afectan a nuestra sociedad. Tanto la industria farmacéutica y de tecnología médica, como los propios investigadores, cada día se ven involucrados en un mayor número de proyectos de investigación clínica. No sólo el incremento en su volumen, sino el aumento de la complejidad, están generando mayores gastos en las actividades asociadas a la investigación médica. Esto está conduciendo a las compañías del sector sanitario a estudiar nuevas soluciones que les permitan reducir los costes de los estudios clínicos. Las Tecnologías de la Información y las Comunicaciones han facilitado la investigación clínica, especialmente en la última década. Los sistemas y aplicaciones electrónicos han proporcionado nuevas posibilidades en la adquisición, procesamiento y análisis de los datos. Por otro lado, la tecnología web propició la aparición de los primeros sistemas electrónicos de adquisición de datos, que han ido evolucionando a lo largo de los últimos años. Sin embargo, la mejora y perfeccionamiento de estos sistemas sigue siendo crucial para el progreso de la investigación clínica. En otro orden de cosas, la forma tradicional de realizar los estudios clínicos con dispositivos cardiacos implantables precisaba mejorar el tratamiento de los datos almacenados por estos dispositivos, así como para su fusión con los datos clínicos recopilados por investigadores y pacientes. La justificación de este trabajo de investigación se basa en la necesidad de mejorar la eficiencia en la investigación clínica con dispositivos cardiacos implantables, mediante la reducción de costes y tiempos de desarrollo de los proyectos, y el incremento de la calidad de los datos recopilados y el diseño de soluciones que permitan obtener un mayor rendimiento de los datos mediante la fusión de datos de distintas fuentes o estudios. Con este fin se proponen como objetivos específicos de este proyecto de investigación dos nuevos modelos: - Un modelo de recuperación y procesamiento de datos para los estudios clínicos con dispositivos cardiacos implantables, que permita estructurar y estandarizar estos procedimientos, con el fin de reducir tiempos de desarrollo Modelos de Métrica para Sistemas Electrónicos de Adquisición de Datos y de Procesamiento para Investigación Clínica con Dispositivos Cardiacos Implantables de estas tareas, mejorar la calidad del resultado obtenido, disminuyendo en consecuencia los costes. - Un modelo de métrica integrado en un Sistema Electrónico de Adquisición de Datos (EDC) que permita analizar los resultados del proyecto de investigación y, particularmente del rendimiento obtenido del EDC, con el fin de perfeccionar estos sistemas y reducir tiempos y costes de desarrollo del proyecto y mejorar la calidad de los datos clínicos recopilados. Como resultado de esta investigación, el modelo de procesamiento propuesto ha permitido reducir el tiempo medio de procesamiento de los datos en más de un 90%, los costes derivados del mismo en más de un 85% y todo ello, gracias a la automatización de la extracción y almacenamiento de los datos, consiguiendo una mejora de la calidad de los mismos. Por otro lado, el modelo de métrica posibilita el análisis descriptivo detallado de distintos indicadores que caracterizan el rendimiento del proyecto de investigación clínica, haciendo factible además la comparación entre distintos estudios. La conclusión de esta tesis doctoral es que los resultados obtenidos han demostrado que la utilización en estudios clínicos reales de los dos modelos desarrollados ha conducido a una mejora en la eficiencia de los proyectos, reduciendo los costes globales de los mismos, disminuyendo los tiempos de ejecución, e incrementando la calidad de los datos recopilados. Las principales aportaciones de este trabajo de investigación al conocimiento científico son la implementación de un sistema de procesamiento inteligente de los datos almacenados por los dispositivos cardiacos implantables, la integración en el mismo de una base de datos global y optimizada para todos los modelos de dispositivos, la generación automatizada de un repositorio unificado de datos clínicos y datos de dispositivos cardiacos implantables, y el diseño de una métrica aplicada e integrable en los sistemas electrónicos de adquisición de datos para el análisis de resultados de rendimiento de los proyectos de investigación clínica. ABSTRACT Cardiovascular diseases are the main cause of death worldwide and it is expected to continue in the future, generating high costs for health care systems. Implantable cardiac devices have become one of the options for diagnosis and treatment of cardiac rhythm disorders. Clinical research with these devices has acquired great importance to fight against these diseases that affect so many people in our society. Both pharmaceutical and medical technology companies, and also investigators, are involved in an increasingly number of clinical research projects. The growth in volume and the increase in medical research complexity are contributing to raise the expenditure level associated with clinical investigation. This situation is driving health care sector companies to explore new solutions to reduce clinical trial costs. Information and Communication Technologies have facilitated clinical research, mainly in the last decade. Electronic systems and software applications have provided new possibilities in the acquisition, processing and analysis of clinical studies data. On the other hand, web technology contributed to the appearance of the first electronic data capture systems that have evolved during the last years. Nevertheless, improvement of these systems is still a key aspect for the progress of clinical research. On a different matter, the traditional way to develop clinical studies with implantable cardiac devices needed an improvement in the processing of the data stored by these devices, and also in the merging of these data with the data collected by investigators and patients. The rationale of this research is based on the need to improve the efficiency in clinical investigation with implantable cardiac devices, by means of reduction in costs and time of projects development, as well as improvement in the quality of information obtained from the studies and to obtain better performance of data through the merging of data from different sources or trials. The objective of this research project is to develop the next two models: • A model for the retrieval and processing of data for clinical studies with implantable cardiac devices, enabling structure and standardization of these procedures, in order to reduce the time of development of these tasks, to improve the quality of the results, diminish therefore costs. • A model of metric integrated in an Electronic Data Capture system (EDC) that allow to analyze the results of the research project, and particularly the EDC performance, in order to improve those systems and to reduce time and costs of the project, and to get a better quality of the collected clinical data. As a result of this work, the proposed processing model has led to a reduction of the average time for data processing by more than 90 per cent, of related costs by more than 85 per cent, and all of this, through automatic data retrieval and storage, achieving an improvement of quality of data. On the other hand, the model of metrics makes possible a detailed descriptive analysis of a set of indicators that characterize the performance of each research project, allowing inter‐studies comparison. This doctoral thesis results have demonstrated that the application of the two developed models in real clinical trials has led to an improvement in projects efficiency, reducing global costs, diminishing time in execution, and increasing quality of data collected. The main contributions to scientific knowledge of this research work are the implementation of an intelligent processing system for data stored by implantable cardiac devices, the integration in this system of a global and optimized database for all models of devices, the automatic creation of an unified repository of clinical data and data stored by medical devices, and the design of a metric to be applied and integrated in electronic data capture systems to analyze the performance results of clinical research projects.
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As administrações públicas manipulam cada vez mais, grandes quantidades de informação em suportes tecnológicos, por isso são imprescindíveis controlos de segurança cada vez mais rigorosos e abrangentes. De entre as medidas de segurança, as políticas assumem na literatura um papel central. Todavia, um estudo de 2010 aponta a existência de um reduzido número de Câmaras Municipais que têm implementadas políticas de segurança de sistemas de informação [1]. Este artigo contribui para comparar os dados desse estudo com dados de 2016 através da apresentação dos resultados de um inquérito feito à Administração Pública Local em Portugal. Os resultados são discutidos à luz da literatura e identificam-se trabalhos futuros com vista a potenciar a adoção de políticas de segurança na Administração Pública.
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Sandstone-type reservoir rocks are commonly responsible for oil accumulation. The wettability is an important parameter for the physical properties of the container, since it interferes in characteristics such as relative permeability to the aqueous phase, residual oil distribution in the reservoir, operating characteristics with waterflood and recovery of crude oil. This study applied different types of microemulsion systems - MES - in sandstone reservoirs and evaluated their influences on wettability and residual oil recovery. For this purpose, four microemulsion were prepared by changing the nature of ionic surfactants (ionic and nonionic). Microemulsions could then be characterized by surface tension analysis, density, particle diameter and viscosity in the temperature range 30° C to 70° C. The studied oil was described as light and the sandstone rock was derived from the Botucatu formation. The study of the influence of microemulsion systems on sandstone wettability was performed by contact angle measurements using as parameters the rock treatment time with the MES and the time after the brine surface contact by checking the angle variation behavior. In the study results, the rock was initially wettable to oil and had its wettability changed to mixed wettability after treatment with MES, obtaining preference for water. Regarding rock-MES contact time, it was observed that the rock wettability changed more when the contact time between the surface and the microemulsion systems was longer. It was also noted only a significant reduction for the first 5 minutes of interaction between the treated surface and brine. The synthesized anionic surfactant, commercial cationic, commercial anionic and commercial nonionic microemulsion systems presented the best results, respectively. With regard to enhanced oil recovery performance, all systems showed a significant percentage of recovered oil, with the anionic systems presenting the best results. A percentage of 80% recovery was reached, confirming the wettability study results, which pointed the influence of this property on the interaction of fluids and reservoir rock, and the ability of microemulsion systems to perform enhanced oil recovery in sandstone reservoirs.
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Sandstone-type reservoir rocks are commonly responsible for oil accumulation. The wettability is an important parameter for the physical properties of the container, since it interferes in characteristics such as relative permeability to the aqueous phase, residual oil distribution in the reservoir, operating characteristics with waterflood and recovery of crude oil. This study applied different types of microemulsion systems - MES - in sandstone reservoirs and evaluated their influences on wettability and residual oil recovery. For this purpose, four microemulsion were prepared by changing the nature of ionic surfactants (ionic and nonionic). Microemulsions could then be characterized by surface tension analysis, density, particle diameter and viscosity in the temperature range 30° C to 70° C. The studied oil was described as light and the sandstone rock was derived from the Botucatu formation. The study of the influence of microemulsion systems on sandstone wettability was performed by contact angle measurements using as parameters the rock treatment time with the MES and the time after the brine surface contact by checking the angle variation behavior. In the study results, the rock was initially wettable to oil and had its wettability changed to mixed wettability after treatment with MES, obtaining preference for water. Regarding rock-MES contact time, it was observed that the rock wettability changed more when the contact time between the surface and the microemulsion systems was longer. It was also noted only a significant reduction for the first 5 minutes of interaction between the treated surface and brine. The synthesized anionic surfactant, commercial cationic, commercial anionic and commercial nonionic microemulsion systems presented the best results, respectively. With regard to enhanced oil recovery performance, all systems showed a significant percentage of recovered oil, with the anionic systems presenting the best results. A percentage of 80% recovery was reached, confirming the wettability study results, which pointed the influence of this property on the interaction of fluids and reservoir rock, and the ability of microemulsion systems to perform enhanced oil recovery in sandstone reservoirs.
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The content-based image retrieval is important for various purposes like disease diagnoses from computerized tomography, for example. The relevance, social and economic of image retrieval systems has created the necessity of its improvement. Within this context, the content-based image retrieval systems are composed of two stages, the feature extraction and similarity measurement. The stage of similarity is still a challenge due to the wide variety of similarity measurement functions, which can be combined with the different techniques present in the recovery process and return results that aren’t always the most satisfactory. The most common functions used to measure the similarity are the Euclidean and Cosine, but some researchers have noted some limitations in these functions conventional proximity, in the step of search by similarity. For that reason, the Bregman divergences (Kullback Leibler and I-Generalized) have attracted the attention of researchers, due to its flexibility in the similarity analysis. Thus, the aim of this research was to conduct a comparative study over the use of Bregman divergences in relation the Euclidean and Cosine functions, in the step similarity of content-based image retrieval, checking the advantages and disadvantages of each function. For this, it was created a content-based image retrieval system in two stages: offline and online, using approaches BSM, FISM, BoVW and BoVW-SPM. With this system was created three groups of experiments using databases: Caltech101, Oxford and UK-bench. The performance of content-based image retrieval system using the different functions of similarity was tested through of evaluation measures: Mean Average Precision, normalized Discounted Cumulative Gain, precision at k, precision x recall. Finally, this study shows that the use of Bregman divergences (Kullback Leibler and Generalized) obtains better results than the Euclidean and Cosine measures with significant gains for content-based image retrieval.