A learning approach to swarm-based path detection and tracking

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

Distributed processing of large remote sensing images using MapReduce - A case of Edge Detection

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

Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh

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

Evaluation of thermal remote sensing for detection of thermal anomalies as earthquake precursors: a case study for Malatya-Pütürge-Doganyol (Turkey) Earthquake, July 13, 2003

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

On-line system for faults detection in induction motors based on PCA

Dissertation to obtain the degree of Master in Electrical and Computer Engineering

Controle de qualidade do TPS Gamma Plan

Dissertação para obtenção de grau de Mestre em Engenharia Biomédica

Homogneous time resolved fluorescence: a new technique for detection and quantifications of infliximab in autoimmune patients

RESUMO:As terapias biológicas revolucionaram o tratamento das doenças autoimunes nos últimos anos. Tipicamente têm como alvos mediadores importantes no mecanismo das doenças. Os antagonistas do fator de necrose tumoral-α (TNF-α) são um grupo de agentes biológicos muito prescrito, pois estão indicados no tratamento de doenças imuno-mediadas comuns, tais como artrite reumatoide, artrite idiopática juvenil, artrite psoriática, espondilite anquilosante, doença de Crohn e colite ulcerosa. Com o uso frequente de inibidores do TNF-α, tem-se tornado evidente que estes agentes têm um potencial imunogénico importante, que pode comprometer o prognóstico a longo prazo dos doentes cronicamente tratados. A produção de anticorpos anti-fármaco parece causar falência terapêutica secundária em muitos doentes. Um dos efeitos dos anticorpos anti-fármaco é o aumento da eliminação do fármaco. A eliminação do fármaco, por sua vez, varia entre indivíduos, refletindo diferentes perfis farmacocinéticos. A determinação dos níveis séricos mínimos do agente anti-TNF-α é assim muito informativa e pode auxiliar nas decisões terapêuticas. Contudo, os testes imunológicos para determinar as concentrações séricas do fármaco não estão facilmente disponíveis na prática clínica. De forma a investigar uma nova técnica potencialmente fidedigna e prática para a deteção e quantificação dos agentes biológicos anti-TNF-α, foi testada a técnica por HTRF (homogeneous time-resolved fluorescence resonance energy transfer) para a determinação de concentrações séricas de infliximab. Apesar de apresentar algumas limitações relacionadas com as condições de leitura da fluorescência, esta técnica provou obter resultados próximos das concentrações obtidas por ELISA (enzyme-linked immunosorbent assay) bridging. Adicionalmente, tem a vantagem de ser de execução muito mais fácil e rápida. Deste modo, a técnica por HTRF poderá ser otimizada e tornar-se uma valiosa ferramenta laboratorial para orientar as decisões terapêuticas em doentes autoimunes com falência da terapêutica anti-TNF-α.--------- ABSTRACT: Biologic therapies revolutionized the treatment of autoimmune diseases in the last years. Typically, they target important disease mediators. Tumor necrosis factor-alpha (TNF-α) antagonists constitute a very prescribed group of biologic agents as they are indicated for the treatment of common immune-mediated diseases, such as rheumatoid arthritis, juvenile idiopathic arthritis, psoriatic arthritis, ankylosing spondylitis, Crohn’s disease and ulcerative colitis. With the increasing use of TNF-α inhibitors it has been noticed that they have an important immunogenic potential that can compromise long-term outcomes in chronically treated patients. The production of anti-drug antibodies seems to cause secondary therapeutic failure in many patients. One of the effects of anti-drug antibodies is the enhancement of drug clearance. Drug clearance, in turn, varies among individuals, reflecting different pharmacokinetic profiles. Determination of serum anti-TNF-α drug trough levels is though very informative and could support treatment decisions. However, immunologic assays to determine drug serum concentrations are not readily available in clinical practice. In order to investigate a potentially reliable and practical new technique for detection and quantification of anti-TNF-α biologic agents, homogeneous time-resolved fluorescence resonance energy transfer (HTRF) technique was tested for determination of serum infliximab concentrations. Although presenting some limitations related with fluorescence reading conditions, this technique proved to give results close to the concentrations obtained by the widely used bridging enzyme-linked immunosorbent assay (ELISA). In addition, it has the advantage of being much easier and faster to perform. Thus, HTRF technique can be optimized and become a valuable laboratorial tool to guide treatment decisions in autoimmune patients with anti-TNF-α therapy failure.

Label-free detection of biomolecules with Ta2O5-based field effect devices

Dissertação para obtenção do Grau de Doutor em Nanotecnologias e Nanociências

Time series morphological analysis applied to biomedical signals events detection

Dissertation submitted in the fufillment of the requirements for the Degree of Master in Biomedical Engineering

Gold nanoprobes for the detection of mutations associated with antibiotic resistance in Mycobacterium tuberculosis complex

Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

Studies on the wine spoilage yeast Brettanomyces bruxellensis: 4-ethylphenol production and improved detection

Dissertação para obtenção do Grau de Mestre em Biotecnologia

A low-voltage RF-CMOS receiver front-end for a wireless fall detection microsystem

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores, pela Universidade Nova de Ciências e Tecnologia

A nanopore-based stochastic detection method: Single molecule characterisation of nanoparticles using ()- hemolysin

Dissertation presented to obtain the Ph.D degree in Chemistry.

A volumetric hybrid representation for obstacle detection in all-terrain robots

This dissertation presents an approach aimed at three-dimensional perception’s obstacle detection on all-terrain robots. Given the huge amount of acquired information, the adversities such environments present to an autonomous system and the swiftness, thus required, from each of its navigation decisions, it becomes imperative that the 3-D perceptional system to be able to map obstacles and passageways in the most swift and detailed manner. In this document, a hybrid approach is presented bringing the best of several methods together, combining the lightness of lesser meticulous analyses with the detail brought by more thorough ones. Realizing the former, a terrain’s slope mapping system upon a low resolute volumetric representation of the surrounding occupancy. For the latter’s detailed evaluation, two novel metrics were conceived to discriminate the little depth discrepancies found in between range scanner’s beam distance measurements. The hybrid solution resulting from the conjunction of these two representations provides a reliable answer to traversability mapping and a robust discrimination of penetrable vegetation from that constituting real obstructions. Two distinct robotic platforms offered the possibility to test the hybrid approach on very different applications: a boat, under an European project, the ECHORD Riverwatch, and a terrestrial four-wheeled robot for a national project, the Introsys Robot.

A semi-automatic approach to code smells detection

Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.