967 resultados para Robust methods
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química e Biológica
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A depressão é uma das doenças de foro psiquiátrico que mais prevalece na nossa sociedade, subsistindo evidências epidemiológicas que indicam um aumento substancial da sua incidência nos últimos anos. Esta evidência é consubstanciada pelo aumento significativo do consumo de antidepressivos em Portugal. Este cenário pressupõe a necessidade de uma metodologia que permita analisar, com rigor e numa perspectiva de rotina, os antidepressivos que podem ser encontrados em amostras de sangue. No contexto do Serviço de Toxicologia Forense do Instituto Nacional de Medicina Legal, Delegação do Norte, torna-se necessário o desenvolvimento de uma metodologia analítica para a determinação simultânea de 15 antidepressivos em sangue total e a sua validação relativamente a vários parâmetros analíticos. Os antidepressivos considerados foram Amitriptilina, Citalopram, Clomipramina, N-Desmetilclomipramina, Dotiepina, Fluoxetina, Imipramina, Maprotilina, Mianserina, Mirtazapina, Nortriptilina, Paroxetina, Sertralina, Trimipramina e Venlafaxina. A técnica utilizada para este efeito foi o GC/MS/MS, aplicando um procedimento extractivo prévio apropriado, baseado em procedimentos convencionais de extracção em fase sólida. A escolha desta técnica teve por base a possibilidade de identificar inequivocamente os compostos presentes na amostra, independentemente da complexidade da matriz, e de originar metodologias com uma sensibilidade elevada e com limites de detecção muito baixos. Os parâmetros analíticos considerados para validação da metodologia estabelecida foram selectividade/especificidade e capacidade de identificação; limites de detecção e de quantificação; linearidade e gama de trabalho; eficiência de extracção; arrastamento; exactidão (precisão, veracidade e incerteza de medição) e robustez. Com excepção da exactidão, um parâmetro que carece ainda de estudos complementares, todos os parâmetros estudados foram validados de acordo com os requisitos internos do Serviço. De uma forma geral, os resultados obtidos com o método desenvolvido revelaram-se selectivos e apresentaram respostas analíticas tanto para concentrações de antidepressivos em níveis terapêuticos como para níveis letais destas drogas. Os procedimentos extractivos revelaram-se eficazes e não foram verificados fenómenos de arrastamento em concentrações mais elevadas. O método foi ainda considerado robusto.
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Objectives - Review available guidance for quality assurance (QA) in mammography and discuss its contribution to harmonise practices worldwide. Methods - Literature search was performed on different sources to identify guidance documents for QA in mammography available worldwide in international bodies, healthcare providers, professional/scientific associations. The guidance documents identified were reviewed and a selection was compared for type of guidance (clinical/technical), technology and proposed QA methodologies focusing on dose and image quality (IQ) performance assessment. Results - Fourteen protocols (targeted at conventional and digital mammography) were reviewed. All included recommendations for testing acquisition, processing and display systems associated with mammographic equipment. All guidance reviewed highlighted the importance of dose assessment and testing the Automatic Exposure Control (AEC) system. Recommended tests for assessment of IQ showed variations in the proposed methodologies. Recommended testing focused on assessment of low-contrast detection, spatial resolution and noise. QC of image display is recommended following the American Association of Physicists in Medicine guidelines. Conclusions - The existing QA guidance for mammography is derived from key documents (American College of Radiology and European Union guidelines) and proposes similar tests despite the variations in detail and methodologies. Studies reported on QA data should provide detail on experimental technique to allow robust data comparison. Countries aiming to implement a mammography/QA program may select/prioritise the tests depending on available technology and resources.
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A compreensão das interacções entre os oceanos, a linha de costa, a qualidade do ar e as florestas só será possível através do registo e análise de informação geo-temporalmente referenciada. Mas a monitorização de grandes áreas apresenta o problema da cobertura espacial e temporal, e os custos nela envolvidos pela impossibilidade de disseminar a quantidade de estações de monitorização necessários à compreensão do fenómeno. É necessário então definir metodologias de colocação de sensores e recolha de informação de forma robusta, económica e temporalmente útil. Nesta dissertação apresentamos uma estratégia de monitorização ambiental, para meios hídricos, (ou de grande dimensão) que baseada em sistemas móveis e alguns princípios da geoestatística, fornece uma ferramenta de monitorização mais económica, sem prejuízo da qualidade de informação. Os modelos usados na geoestatística assentam na ideia de que medidas mais próximas tendem a serem mais parecidas do que valores observados em locais distantes e fornece métodos para quantificar esta correlação espacial e incorporá-la na estimação. Os resultados obtidos sustentam a convicção do uso de veículos móveis em redes de sensores e que contribuímos para responder à seguinte questão “Qual a técnica que nos permite com poucos sensores monitorizar grandes áreas?”. A solução passará por modelos de estimação de grandezas utilizados na geoestatística associados a sistemas móveis.
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Microarray allow to monitoring simultaneously thousands of genes, where the abundance of the transcripts under a same experimental condition at the same time can be quantified. Among various available array technologies, double channel cDNA microarray experiments have arisen in numerous technical protocols associated to genomic studies, which is the focus of this work. Microarray experiments involve many steps and each one can affect the quality of raw data. Background correction and normalization are preprocessing techniques to clean and correct the raw data when undesirable fluctuations arise from technical factors. Several recent studies showed that there is no preprocessing strategy that outperforms others in all circumstances and thus it seems difficult to provide general recommendations. In this work, it is proposed to use exploratory techniques to visualize the effects of preprocessing methods on statistical analysis of cancer two-channel microarray data sets, where the cancer types (classes) are known. For selecting differential expressed genes the arrow plot was used and the graph of profiles resultant from the correspondence analysis for visualizing the results. It was used 6 background methods and 6 normalization methods, performing 36 pre-processing methods and it was analyzed in a published cDNA microarray database (Liver) available at http://genome-www5.stanford.edu/ which microarrays were already classified by cancer type. All statistical analyses were performed using the R statistical software.
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A square-wave voltammetric (SWV) method and a flow injection analysis system with amperometric detection were developed for the determination of tramadol hydrochloride. The SWV method enables the determination of tramadol over the concentration range of 15-75 µM with a detection limit of 2.2 µM. Tramadol could be determined in concentrations between 9 and 50 µM at a sampling rate of 90 h-1, with a detection limit of 1.7 µM using the flow injection system. The electrochemical methods developed were successfully applied to the determination of tramadol in pharmaceutical dosage forms, without any pre-treatment of the samples. Recovery trials were performed to assess the accuracy of the results; the values were between 97 and 102% for both methods.
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In order to combat a variety of pests, pesticides are widely used in fruits. Several extraction procedures (liquid extraction, single drop microextraction, microwave-assisted extraction, pressurized liquid extraction, supercritical fluid extraction, solid-phase extraction, solid-phase microextraction, matrix solid-phase dispersion, and stir bar sorptive extraction) have been reported to determine pesticide residues in fruits and fruit juices. The significant change in recent years is the introduction of the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) methods in these matrices analysis. A combination of techniques reported the use of new extraction methods and chromatography to provide better quantitative recoveries at low levels. The use of mass spectrometric detectors in combination with liquid and gas chromatography has played a vital role to solve many problems related to food safety. The main attention in this review is on the achievements that have been possible because of the progress in extraction methods and the latest advances and novelties in mass spectrometry, and how these progresses have influenced the best control of food, allowing for an increase in the food safety and quality standards.
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The state of the art of voltammetric and amperometric methods used in the study and determination of pesticides in crops, food, phytopharmaceutical products, and environmental samples is reviewed. The main structural groups of pesticides, i.e., triazines, organophosphates, organochlorides, nitrocompounds, carbamates, thiocarbamates, sulfonylureas, and bipyridinium compounds are considered with some degradation products. The advantages, drawbacks, and trends in the development of voltammetric and amperometric methods for study and determination of pesticides in these samples are discussed.
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
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This paper focuses on evaluating the usability of an Intelligent Wheelchair (IW) in both real and simulated environments. The wheelchair is controlled at a high-level by a flexible multimodal interface, using voice commands, facial expressions, head movements and joystick as its main inputs. A Quasi-experimental design was applied including a deterministic sample with a questionnaire that enabled to apply the System Usability Scale. The subjects were divided in two independent samples: 46 individuals performing the experiment with an Intelligent Wheelchair in a simulated environment (28 using different commands in a sequential way and 18 with the liberty to choose the command); 12 individuals performing the experiment with a real IW. The main conclusion achieved by this study is that the usability of the Intelligent Wheelchair in a real environment is higher than in the simulated environment. However there were not statistical evidences to affirm that there are differences between the real and simulated wheelchairs in terms of safety and control. Also, most of users considered the multimodal way of driving the wheelchair very practical and satisfactory. Thus, it may be concluded that the multimodal interfaces enables very easy and safe control of the IW both in simulated and real environments.
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We perform a comparison between the fractional iteration and decomposition methods applied to the wave equation on Cantor set. The operators are taken in the local sense. The results illustrate the significant features of the two methods which are both very effective and straightforward for solving the differential equations with local fractional derivative.
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Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular - Ramo de especialização: Ultrassonografia Cardiovascular
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The investigation which employed the action research method (qualitative analysis)was divided into four fases. In phases 1-3 the participants were six double bass students at Nossa Senhora do Cabo Music School. Pilot exercises in creativity were followed by broader and more ambitious projects. In phase 4 the techniques were tested and amplified during a summer course for twelve double bass students at Santa Cecilia College.
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Variations of manufacturing process parameters and environmental aspects may affect the quality and performance of composite materials, which consequently affects their structural behaviour. Reliability-based design optimisation (RBDO) and robust design optimisation (RDO) searches for safe structural systems with minimal variability of response when subjected to uncertainties in material design parameters. An approach that simultaneously considers reliability and robustness is proposed in this paper. Depending on a given reliability index imposed on composite structures, a trade-off is established between the performance targets and robustness. Robustness is expressed in terms of the coefficient of variation of the constrained structural response weighted by its nominal value. The Pareto normed front is built and the nearest point to the origin is estimated as the best solution of the bi-objective optimisation problem.
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In distributed soft real-time systems, maximizing the aggregate quality-of-service (QoS) is a typical system-wide goal, and addressing the problem through distributed optimization is challenging. Subtasks are subject to unpredictable failures in many practical environments, and this makes the problem much harder. In this paper, we present a robust optimization framework for maximizing the aggregate QoS in the presence of random failures. We introduce the notion of K-failure to bound the effect of random failures on schedulability. Using this notion we define the concept of K-robustness that quantifies the degree of robustness on QoS guarantee in a probabilistic sense. The parameter K helps to tradeoff achievable QoS versus robustness. The proposed robust framework produces optimal solutions through distributed computations on the basis of Lagrangian duality, and we present some implementation techniques. Our simulation results show that the proposed framework can probabilistically guarantee sub-optimal QoS which remains feasible even in the presence of random failures.