55 resultados para constraint based design


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

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

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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Dissertação apresentada para obtenção do Grau de Doutor em Engenharia Informática, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Dissertation for the obtention of the Master Degree in Biotechnology

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

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Dissertação para obtenção do Grau de Mestre em Engenharia Física

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Dissertação para obtenção do Grau de Mestre em Biotecnologia

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RESUMO: As doenças mentais são comuns, universais e associadas a uma significativa sobrecarga pessoal, familiar, social e económica. Os Serviços de Saúde Mental devem abordar de forma adequada as necessidades dos pacientes e familiares tanto ao nível clínico como também ao nível social. O presente estudo foi realizado num período de grande transformação nos sistemas de saúde primário e de saúde mental em Portugal, num Departamento de Psiquiatria desenvolvido com base nos princípios da OMS. Os objectivos incluem a caracterização: 1) das Unidades Funcionais do Departamento; 2) dos pacientes internados pela primeira vez no internamento de agudos; 3) da utilização dos serviços nas equipas comunitárias após a alta; e 4) da avaliação de alguns dos indicadores de qualidade do departamento, com recurso ao modelo de Donabedian sobre a articulação entre a Estrutura-Processo-Resultados. Metodologia: Foi escolhido um estudo de coorte retrospectivo. Todos os pacientes internados pela primeira vez entre 2008 e 2010 foram incluídos no estudo. Os seus processos clínicos e a base de dados do hospital onde são registados todos os contactos que estes tiveram com os profissionais de saúde mental foram revistos de forma a obter dados sociodemográficos e clínicos, durante o período do estudo e após a alta. Os instrumentos utilizados foram o WHO-ICMHC (Classificação Internacional de Cuidados de Saúde Mental), para caracterizar o Departamento, o AIESMP (Avaliação Inicial de Enfermagem em Saúde Mental e Psiquiatria) para recolha dos dados sociodemográficos, e o VSSS (Escala de Satisfação com os Serviços de Verona) de forma a avaliar a satisfação dos pacientes em relação aos cuidados recebidos. A análise estatística incluiu a análise descritiva, quantitativa e qualitativa dos dados. Resultados: As Unidades Funcionais do Departamento revelaram níveis elevados de articulação e consistência com as necessidades de cuidados psiquiátricos e reabilitação psicossocial dos pacientes. Os 543 pacientes admitidos pela primeira vez eram maioritariamente (56.9%) mulheres, caucasianas (81.2%), com diagnóstico de perturbações do humor (66.3%), internadas voluntariamente (59.7%), e uma idade média de 45.1 anos. Estas eram significativamente mais velhas, mais frequentemente empregadas, casadas/coabitar e tinham uma prevalência mais elevada de perturbações do humor, comparativamente aos homens. O internamento compulsivo era mais significativo nos homens (54.7%). A taxa de abandono no pós-alta (4.2%) e a taxa de reinternamentos (2.9%) na quinzena após a alta revelaram-se inferiores aos padrões na literatura internacional. De forma global, a satisfação dos pacientes com os cuidados de saúde mental foi positiva. Conclusões: Os cuidados prestados mostraram-se eficazes, adaptados e baseados nas necessidades e problemas específicos dos pacientes. A continuidade e a abrangência de cuidados foram difundidos e mantidos ao longo do processo de cuidados. Este Departamento pode ser considerado um exemplo de como proporcionar tratamento digno e eficiente, e uma referência para futuros serviços de psiquiatria.-------------- ABSTRACT: Mental health disorders are common, universal, and associated with heavy personal, family, social and economic burden. Mental health services should be aimed at adequately addressing patients’ and families’ needs at clinical and social level. The current study was carried out at a time of great transformation in the health and mental health systems in Portugal, in a Psychiatric Department developed taking in consideration the WHO principles. The objectives included characterizing: 1) the Psychiatric Department’s different units; 2) the patients admitted for the first time to the inpatient unit; 3) their use of community mental health services after discharge; and 4) assessing some of the department’s quality indicators, with resource to Donabedian’s Structure-Process-Outcome model. Methodology: A retrospective cohort design was chosen. All the firstly admitted patients in the period between 2008 and 2010 were included in the study. Their clinical records and the hospital’s database which registers all of the contacts the patients had with the mental health professionals during the study period, were reviewed to retrieve sociodemographic and clinical data and information on follow-up. The instruments used were the WHO International Classification of Mental Health Care (ICMHC) to characterize the department, the Initial Nurses’ Assessment in Mental Health and Psychiatry (AIESMP) for patients’ sociodemographic data, and the Verona Service Satisfaction Scale (VSSS) to assess patients’ satisfaction with care received. Statistical analysis included descriptive, quantitative and qualitative analysis of the data. Results: The Department’s Functional units revealed high levels of articulation, and were consistent with patients’ needs for psychiatric care and psychosocial rehabilitation. The 543 patients firstly admitted were mainly (56.9%) female, Caucasian (81.2%), diagnosed with mood disorders (66.3%), voluntarily admitted (59.7%), and with a mean age of 45.1 years. Female patients were significantly older, more frequently employed, married/cohabiting and had a higher prevalence of mood disorders when compared to males. Involuntary admission was more significant in males (54.7%). Dropout rates during follow-up (4.2%) and readmission rates (2.9%) in the fortnight following discharge were lower than standards in international literature. Overall patients’ satisfaction with mental health care was positive. Conclusions: The care delivered was effective, adapted and based on the patients’ specific needs and problems. Continuity and comprehensiveness of care was endorsed and maintained throughout the care process. This department may be considered an example of both humane and effective treatment, and a reference for future psychiatric care.

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Due to the importance and wide applications of the DNA analysis, there is a need to make genetic analysis more available and more affordable. As such, the aim of this PhD thesis is to optimize a colorimetric DNA biosensor based on gold nanoprobes developed in CEMOP by reducing its price and the needed volume of solution without compromising the device sensitivity and reliability, towards the point of care use. Firstly, the price of the biosensor was decreased by replacing the silicon photodetector by a low cost, solution processed TiO2 photodetector. To further reduce the photodetector price, a novel fabrication method was developed: a cost-effective inkjet printing technology that enabled to increase TiO2 surface area. Secondly, the DNA biosensor was optimized by means of microfluidics that offer advantages of miniaturization, much lower sample/reagents consumption, enhanced system performance and functionality by integrating different components. In the developed microfluidic platform, the optical path length was extended by detecting along the channel and the light was transmitted by optical fibres enabling to guide the light very close to the analysed solution. Microfluidic chip of high aspect ratio (~13), smooth and nearly vertical sidewalls was fabricated in PDMS using a SU-8 mould for patterning. The platform coupled to the gold nanoprobe assay enabled detection of Mycobacterium tuberculosis using 3 8l on DNA solution, i.e. 20 times less than in the previous state-of-the-art. Subsequently, the bio-microfluidic platform was optimized in terms of cost, electrical signal processing and sensitivity to colour variation, yielding 160% improvement of colorimetric AuNPs analysis. Planar microlenses were incorporated to converge light into the sample and then to the output fibre core increasing 6 times the signal-to-losses ratio. The optimized platform enabled detection of single nucleotide polymorphism related with obesity risk (FTO) using target DNA concentration below the limit of detection of the conventionally used microplate reader (i.e. 15 ng/μl) with 10 times lower solution volume (3 μl). The combination of the unique optical properties of gold nanoprobes with microfluidic platform resulted in sensitive and accurate sensor for single nucleotide polymorphism detection operating using small volumes of solutions and without the need for substrate functionalization or sophisticated instrumentation. Simultaneously, to enable on chip reagents mixing, a PDMS micromixer was developed and optimized for the highest efficiency, low pressure drop and short mixing length. The optimized device shows 80% of mixing efficiency at Re = 0.1 in 2.5 mm long mixer with the pressure drop of 6 Pa, satisfying requirements for the application in the microfluidic platform for DNA analysis.

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Historical renders are exposed to several degradation processes that can lead to a wide range of anomalies,such as scaling, detachments, and pulverization. Among the common anomalies, the loss of cohesion and of adhesion are usually identified as the most difficult to repair; these anomalies still need to be deeply studied to design compatible, durable, and sustainable conservation treatments. The restitution of render cohesion can be achieved using consolidating products. Nevertheless, repair treatments could induce aesthetic alterations, and, therefore, are usually followed by chromatic reintegration. This work aims to study the effectiveness of mineral products as consolidants for lime-based mortars and simultaneously as chromatic treatments for pigmented renders. The studied consolidating products are prepared by mixing air lime,metakaolin, water, and mineral pigments. The idea of these consolidating and coloring products rises from a traditional lime-based technique, the limewash, widely diffused in southern Europe and in the Mediterranean area. Consolidating products were applied and tested on lime-based mortar specimens with a low binder–aggregate ratio and therefore with reduced cohesion. A physico-mechanical, microstructural, and mineralogical characterization was performed on untreated and treated specimens, in order to evaluate the efficacy and durability of the treatments. Accelerated aging tests were also performed to assess consolidant durability, when subjected to aggressive conditions. Results showed that the consolidants tested are compatible, effective, and possess good durability.

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This work studies the combination of safe and probabilistic reasoning through the hybridization of Monte Carlo integration techniques with continuous constraint programming. In continuous constraint programming there are variables ranging over continuous domains (represented as intervals) together with constraints over them (relations between variables) and the goal is to find values for those variables that satisfy all the constraints (consistent scenarios). Constraint programming “branch-and-prune” algorithms produce safe enclosures of all consistent scenarios. Special proposed algorithms for probabilistic constraint reasoning compute the probability of sets of consistent scenarios which imply the calculation of an integral over these sets (quadrature). In this work we propose to extend the “branch-and-prune” algorithms with Monte Carlo integration techniques to compute such probabilities. This approach can be useful in robotics for localization problems. Traditional approaches are based on probabilistic techniques that search the most likely scenario, which may not satisfy the model constraints. We show how to apply our approach in order to cope with this problem and provide functionality in real time.

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In the field of energy, natural gas is an essential bridge to a clean, low carbon, renewable energy era. However, natural gas processing and transportation regulation require the removal of contaminant compounds such as carbon dioxide (CO2). Regarding clean air, the increasing atmospheric concentrations of greenhouse gases, specifically CO2, is of particular concern. Therefore, new costeffective, high performance technologies for carbon capture have been researched and the design of materials with the ability to efficiently separate CO2 from other gases is of vital importance.(...)

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Nowadays, participatory processes attending the need for real democracy and transparency in governments and collectives are more needed than ever. Immediate participation through channels like social networks enable people to give their opinion and become pro-active citizens, seeking applications to interact with each other. The application described in this dissertation is a hybrid channel of communication of questions, petitions and participatory processes based on Public Participation Geographic Information System (PPGIS), Participation Geographic Information System (PGIS) and ‘soft’ (subjective data) Geographic Information System (SoftGIS) methodologies. To achieve a new approach to an application, its entire design is focused on the spatial component related with user interests. The spatial component is treated as main feature of the system to develop all others depending on it, enabling new features never seen before in social actions (questions, petitions and participatory processes). Results prove that it is possible to develop a working application mainly using open source software, with the possibility of spatial and subject filtering, visualizing and free download of actions within application. The resulting application empowers society by releasing soft data and defines a new breaking approach, unseen so far.

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The existing parking simulations, as most simulations, are intended to gain insights of a system or to make predictions. The knowledge they have provided has built up over the years, and several research works have devised detailed parking system models. This thesis work describes the use of an agent-based parking simulation in the context of a bigger parking system development. It focuses more on flexibility than on fidelity, showing the case where it is relevant for a parking simulation to consume dynamically changing GIS data from external, online sources and how to address this case. The simulation generates the parking occupancy information that sensing technologies should eventually produce and supplies it to the bigger parking system. It is built as a Java application based on the MASON toolkit and consumes GIS data from an ArcGis Server. The application context of the implemented parking simulation is a university campus with free, on-street parking places.