Ventiladores pulmonares: definição do método de calibração / ensaio, aplicação regulamentar e estudo da situação atual

A crescente incorporação das evoluções tecnológicas nos equipamentos médicos modernos, além de os tornar mais compactos e precisos, proporciona igualmente ganhos de outros benefícios importantes, especialmente ao nível da eficiência das terapias prescritas aos pacientes. Os sofisticados ventiladores pulmonares de cuidados intensivos do presente espelham perfeitamente esta realidade e por isso necessitam de procedimentos técnicos de verificação metrológica – calibrações, também eles mais exatos e rastreáveis, de modo a fornecerem informações corretas sobre se o estado de funcionamento de um determinado ventilador cumpre ou não as tolerâncias declaradas pelo seu fabricante. Através da presente dissertação pretendeu-se desenvolver um procedimento técnico de calibração dos ventiladores de cuidados intensivos tendo-se estudado, para esta finalidade, os equipamentos de calibração específicos disponíveis no mercado, a normalização e o enquadramento regulamentar do controlo metrológico aplicáveis, bem como o princípio de funcionamento do ventilador pulmonar e a evolução da ventilação mecânica ocorrida. No domínio da abordagem efetuada sobre o âmbito da metrologia, implementou-se a determinação das incertezas dos resultados das calibrações efetuadas pelo procedimento técnico desenvolvido, de acordo com a metodologia constante do GUM1. Considerando ainda os défices significativos de conhecimento da metrologia e da prática do controlo metrológico no setor da saúde, a par dos riscos inerentes para os próprios pacientes, procura-se contribuir com este trabalho, de uma forma transversal e ampla, para uma maior consciencialização, quer dos profissionais de saúde, quer dos gestores envolvidos, para a relevância da realização das calibrações periódicas dos complexos equipamentos de suporte de vida que são os ventiladores pulmonares de cuidados intensivos.

Hydrologic modeling and uncertainty analysis of an ungauged watershed using mapwindow-swat

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

The effect of demand information sharing in a supply chain under demand uncertainty: a simulation study

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

The design and use of annual budgets to cope with uncertainty

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Gestão de infra-estruturas e avaliação de equipamentos laboratoriais

RESUMO: A confiabilidade e qualidade dos resultados clínicos de um laboratório, estão dependentes da qualidade do equipamento onde estes são processados. A qualidade de um equipamento consiste em apresentar resultados com uma confiabilidade metrológica de acordo com os processos de medição realizados. Desta forma, os equipamentos de medição devem conter características metrológicas de acordo com os requisitos dos processos que estão inseridos, tais como: erro máximo, incerteza, resolução… Todos os equipamentos por muito bons que sejam, apresentam perdas das suas características metrológicas ao longo do tempo, o que se torna importante a determinação periódica das suas calibrações, manutenções e o seu respectivo ajuste. A periodicidade das calibrações, devem ser baseadas, em critérios bem estabelecidos de modo a evitar a ocorrência da não conformidade, devido às medições com os equipamentos fora das suas especificações, garantindo-se assim, a confiabilidade metrológica e o aumento da produtividade devido ao controlo dos processos, evitando-se desta forma qualquer tipo de avaria por parte destes. Os normativos de Qualidade e Certificação estabelecem como requisito a calibração dos equipamentos de medição em intervalos adequados, mas não definem claramente qual o intervalo adequado. O importante é gerir as etapas de calibração e manutenção de acordo com os equipamentos de modo a garantir que os resultados emitidos por estes sejam mantidos em condições confiáveis, dentro do período entre calibrações e manutenções, de modo a que nãoocorra uma condição de falha, e por conseguinte, medições com grande quantidade de erros.------------ ABSTRACT: The reliability and quality of the results of a clinical laboratory, are dependent on the quality of the equipment where they are processed. The quality of a product is to present results with a metrological reliability according to the measuring processes carried out. Thus, measuring equipment must contain metrological characteristics according to the requirements of the processes that are included, such as: maximum error, uncertainty, resolution ... All equipment for very good they are, show losses of its metrological characteristics over time, it becomes important to determine its periodic calibrations, maintenance and its adjustment. The frequency of calibrations should be based on well-established criteria in order to avoid the occurrence of non-compliance due to the measurements with the equipment beyond its specifications, thus ensuring the metrological reliability and increased productivity due to the control of processes, thus avoiding any kind of damage on the part thereof. The normative and Quality Certification as a requirement to establish calibration of measuring equipment at appropriate intervals, but not clearly stipulate the proper range. It is important to manage the steps of calibration and maintenance equipment according to ensure that the results emitted by these conditions are maintained in trusted within the period between calibrations and maintenance, sothat there occurs a fault condition, and therefore, large amount of measurements with errors.

Calibration, selection and mosaicing of SMART-1 AMIE images

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Uncertainty, generalization, and neural representation of relevant variables for decision making

Dissertation presented to obtain the Ph.D degree in Biology, Computational Biology.

UNCERTAINTY AND DECISION-MAKING IN THE HUMAN BRAIN

Dissertation presented to obtain the Ph.D degree in Biology, Neuroscience

Support in decision-making under uncertainty: a project risk assessment tool development and supplementary advances

A foremost dispute that persists on the contemporary world’s agenda is change. The on-going social/technological/economic changes create a competitive and challenging environment for companies to endure. To benefit from these changes, world economies partially depend on emerging Small and Medium Enterprises (SMEs) and their adaptability skills, and subsequently the development of an integrated capability to innovate has become the prime strategy for most of SMEs to subsist and grow. However, innovation and change are always somewhat bonded to an inherent risk development, which subsequently brings on the necessity of a revision of risk management approaches in innovative processes, whose importance SMEs tend to disregard. Additionally, little efforts have been made to improve and create empirical models, metrics and tools to assist SMEs managing latent risks in their innovative projects. This work seeks to present and discuss a solution to support SMEs in engaging on systematic risk management practices, which consists on an integrated risk assessment and response support web-based tool - Spotrisk® - designed for SMEs. On the other hand, an inherent subjectivity is linked with risk management and identification processes, due to uncertainty trait of its nature, for each individual perceives situations according to his own idiosyncrasy, which brings complications in normalizing risk profiles and procedures. This essay aims to bring insights concerning the support in decision-making processes under uncertainty, by addressing issues related with the risk behavior character among individuals. To address such issues, subjects of neuroscience or psychology are explored and models to identify such character are proposed, as well as models to improve presented tool. This work attempts to go beyond the restrictive aim of endeavoring on technical improvement dissertation, and in embraces an exploratory conceptualization concerning micro, small and medium businesses’ traits regarding risk characters and project risk assessment tools.

Uncertainty in olfactory decision-making

Relationships between accuracy and speed of decision-making, or speed-accuracy tradeoffs (SAT), have been extensively studied. However, the range of SAT observed varies widely across studies for reasons that are unclear. Several explanations have been proposed, including motivation or incentive for speed vs. accuracy, species and modality but none of these hypotheses has been directly tested. An alternative explanation is that the different degrees of SAT are related to the nature of the task being performed. Here, we addressed this problem by comparing SAT in two odor-guided decision tasks that were identical except for the nature of the task uncertainty: an odor mixture categorization task, where the distinguishing information is reduced by making the stimuli more similar to each other; and an odor identification task in which the information is reduced by lowering the intensity over a range of three log steps. (...)

Contribution of the evaluation strategy and the use of hearing protection for the uncertainty associated with occupational exposure to noise

Doctoral Thesis for PhD degree in Industrial and Systems Engineering

Project management under uncertainty: a study on solution methods

Project Management involves onetime endeavors that demand for getting it right the first time. On the other hand, project scheduling, being one of the most modeled project management process stages, still faces a wide gap from theory to practice. Demanding computational models and their consequent call for simplification, divert the implementation of such models in project management tools from the actual day to day project management process. Special focus is being made to the robustness of the generated project schedules facing the omnipresence of uncertainty. An "easy" way out is to add, more or less cleverly calculated, time buffers that always result in project duration increase and correspondingly, in cost. A better approach to deal with uncertainty seems to be to explore slack that might be present in a given project schedule, a fortiori when a non-optimal schedule is used. The combination of such approach to recent advances in modeling resource allocation and scheduling techniques to cope with the increasing flexibility in resources, as can be expressed in "Flexible Resource Constraint Project Scheduling Problem" (FRCPSP) formulations, should be a promising line of research to generate more adequate project management tools. In reality, this approach has been frequently used, by project managers in an ad-hoc way.

Development of a methodology to incorporate risk and uncertainty in electricity power planning

Dissertação de mestrado em Engenharia Industrial

Estudo da cabeceira da Sé do Porto

Dissertação de mestrado integrado em Engenharia Civil

Random walk forecast of urban water in Iran under uncertainty

There are two significant reasons for the uncertainties of water demand. On one hand, an evolving technological world is plagued with accelerated change in lifestyles and consumption patterns; and on the other hand, intensifying climate change. Therefore, with an uncertain future, what enables policymakers to define the state of water resources, which are affected by withdrawals and demands? Through a case study based on thirteen years of observation data in the Zayandeh Rud River basin in Isfahan province located in Iran, this paper forecasts a wide range of urban water demand possibilities in order to create a portfolio of plans which could be utilized by different water managers. A comparison and contrast of two existing methods are discussed, demonstrating the Random Walk Methodology, which will be referred to as the â On uncertainty pathâ , because it takes the uncertainties into account and can be recommended to managers. This On Uncertainty Path is composed of both dynamic forecasting method and system simulation. The outcomes show the advantage of such methods particularly for places that climate change will aggravate their water scarcity, such as Iran.