A cultura de uma escola - estudo de caso

Dissertação para obtenção do Grau de Mestre em Ensino de Matemática no 3º ciclo do Ensino Básico e no Secundário

Protestos sociais em Marrocos

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Antropologia

Ciberformance: a performance em ambientes e mundos virtuais

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Ciências da Comunicação

Nos bastidores da liturgia tridentina : o mobiliário monumental e as sacristias em Portugal do século XVI ao XVIII

Dissertação de Mestrado em História da Arte

Imagens de arquitecturas: Quadrata, Lacus e Laciculi nos santuários rupestres do período romano em Portugal

Revista do IHA, N.3 (2007), pp.24-39

A Evolução Pictórica na Obra de Paula Rego. Décadas de 60, 70 e 80

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em História da Arte Contemporânea

Amorphous silicon e 3D sensors applied to object detection

Nowadays, existing 3D scanning cameras and microscopes in the market use digital or discrete sensors, such as CCDs or CMOS for object detection applications. However, these combined systems are not fast enough for some application scenarios since they require large data processing resources and can be cumbersome. Thereby, there is a clear interest in exploring the possibilities and performances of analogue sensors such as arrays of position sensitive detectors with the final goal of integrating them in 3D scanning cameras or microscopes for object detection purposes. The work performed in this thesis deals with the implementation of prototype systems in order to explore the application of object detection using amorphous silicon position sensors of 32 and 128 lines which were produced in the clean room at CENIMAT-CEMOP. During the first phase of this work, the fabrication and the study of the static and dynamic specifications of the sensors as well as their conditioning in relation to the existing scientific and technological knowledge became a starting point. Subsequently, relevant data acquisition and suitable signal processing electronics were assembled. Various prototypes were developed for the 32 and 128 array PSD sensors. Appropriate optical solutions were integrated to work together with the constructed prototypes, allowing the required experiments to be carried out and allowing the achievement of the results presented in this thesis. All control, data acquisition and 3D rendering platform software was implemented for the existing systems. All these components were combined together to form several integrated systems for the 32 and 128 line PSD 3D sensors. The performance of the 32 PSD array sensor and system was evaluated for machine vision applications such as for example 3D object rendering as well as for microscopy applications such as for example micro object movement detection. Trials were also performed involving the 128 array PSD sensor systems. Sensor channel non-linearities of approximately 4 to 7% were obtained. Overall results obtained show the possibility of using a linear array of 32/128 1D line sensors based on the amorphous silicon technology to render 3D profiles of objects. The system and setup presented allows 3D rendering at high speeds and at high frame rates. The minimum detail or gap that can be detected by the sensor system is approximately 350 μm when using this current setup. It is also possible to render an object in 3D within a scanning angle range of 15º to 85º and identify its real height as a function of the scanning angle and the image displacement distance on the sensor. Simple and not so simple objects, such as a rubber and a plastic fork, can be rendered in 3D properly and accurately also at high resolution, using this sensor and system platform. The nip structure sensor system can detect primary and even derived colors of objects by a proper adjustment of the integration time of the system and by combining white, red, green and blue (RGB) light sources. A mean colorimetric error of 25.7 was obtained. It is also possible to detect the movement of micrometer objects using the 32 PSD sensor system. This kind of setup offers the possibility to detect if a micro object is moving, what are its dimensions and what is its position in two dimensions, even at high speeds. Results show a non-linearity of about 3% and a spatial resolution of < 2µm.

Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Cellulose nanorods in liquid crystalline elastomers for improved actuators

Nanotechnology plays a central role in ‘tailoring’ materials’ properties and thus improving its performances for a wide range of applications. Coupling nature nano-objects with nanotechnology results in materials with enhanced functionalities. The main objective of this master thesis was the synthesis of nanocrystalline cellulose (NCCs) and its further incorporation in a cellulosic matrix, in order to produce a stimuli-responsive material to moisture. The induced behaviour (bending/unbending) of the samples was deeply investigated, in order to determine relationships between structure/properties. Using microcrystalline cellulose as a starting material, acid hydrolysis was performed and the NCC was obtained. Anisotropic aqueous solutions of HPC and NCC were prepared and films with thicknesses ranging from 22μm to 61μm were achieved, by using a shear casting technique. Microscopic and spectroscopic techniques as well as mechanical and rheological essays were used to characterize the transparent and flexible films produced. Upon the application of a stimulus (moisture), the bending/unbending response times were measured. The use of NCC allowed obtaining films with response times in the order of 6 seconds for the bending and 5 seconds for the unbending, improving the results previously reported. These promising results open new horizons for building up improved soft steam engines.

Predictors of adherence to influenza vaccination for healthcare workers from a teaching hospital: a study in the prepandemic era

INTRODUCTION: Even before the 2009 pandemics, influenza in healthcare workers (HCW) was a known threat to patient safety, while Influenza vaccine coverage in the same group was generally low. Identification of predictors for HCW adherence to Influenza vaccination has challenged infection control committees. METHODS: Our group conducted a cross-sectional survey in December 2007, interviewing 125 HCWs from a teaching hospital to identify adherence predictors for Influenza vaccination. The outcomes of interest were: A - adherence to the 2007 vaccination campaign; B - adherence to at least three yearly campaigns in the past five years. Demographic and professional data were assessed through univariate and multivariate analysis. RESULTS: Of the HCWs interviewed, 43.2% were vaccinated against Influenza in 2007. However, only 34.3% of HCWs working in healthcare for more than five years had adhered to at least three of the last five vaccination campaigns. Multivariate analysis showed that working in a pediatric unit (OR = 7.35, 95%CI = 1.90-28.44, p = 0.004) and number of years in the job (OR = 1.32, 95%CI = 1.00-1.74, p = 0.049) were significant predictors of adherence to the 2007 campaign. Physicians returned the worst outcome performances in A (OR = 0.40, 95%CI = 0.16-0.97, p = 0.04) and B (OR = 0.17, 95%CI = 0.05-0.60, p = 0.006). CONCLUSIONS: Strategies to improve adherence to Influenza vaccination should focus on physicians and newly-recruited HCWs. New studies are required to assess the impact of the recent Influenza A pandemics on HCW-directed immunization policies.

Analysis of panoramio photo tags in order to extract land use information

In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

Entrevista com Luc de Heusch

Luc de heusch, antropólogo belga contemporâneo, foi um dos autores mais lidos pela geração de antropólogos portugueses formados no início da década de 80. O seu trabalho sobre os Tetela (1971) e o seu livro sobre a realeza sagrada (1972), constituiriam obras de referência fundamental para a compreensão da importância dos mitos e rituais na análise comparativa de diferentes sociedades e culturas, tratando-se de exemplos paradigmáticos da abordagem estruturalista proposta por Lévi-Strauss, mas aplicada ao contexto africano.

Do Choupal até à Lapa. Etnografia do constructor da canção

Esta tese aborda a Canção de Coimbra no quadro dos estudos etnomusicológi-cos, tendo como principal objectivo a compreensão deste importante fenómeno en-quanto categoria musical autónoma. A construção dos padrões discursivos e performativos da Canção de Coimbra é alicerçada recorrendo a instrumentos tais como a etnografia da música e o estudo do dis-curso, exógeno e endógeno, sob o ponto de vista do método fenomenológico. Fenómeno musical performativo imerso num quadro simbólico particular, o ob-jecto de estudo apresenta-se como uma das manifestações mais ricas e exclusivas das comunidades escolares europeias, senão mundiais, privilegiando-se no ambiente de uma das mais antigas Universidades da Europa, com todos os rituais e simbolismos que o acompanham desde a fundação. O seu desenvolvimento incide fundamentalmente sobre a produção literária, a produção fonográfica, a participação musical directa, e o resultado de sessões de trabalho e entrevista com intérpretes, compositores e investigadores. O corpus principal do estudo organiza-se na observação do fenómeno Canção de Coimbra, em ligação directa com os seus contextos sociais e culturais, num período que decorre sobretudo entre ca. 1850 e a actualidade.

Técnicas de Persuasão

A presente investigação tem como objetivo principal identificar e explicar as diversas técnicas de comunicação que poderão ser utilizadas na persuasão e na manipulação de pensamento, opiniões e disposição para a ação (diathesis) de um auditório. A partir da exploração da arte de retórica, aplicada à comunicação interpessoal, assim como aos outros meios de comunicação, sobretudo o audiovisual, e também na exploração de comunicação não-verbal, pretende-se demostrar e explicar os diversos métodos e procedimentos de persuasão e de manipulação. Estas serão divididas em três grupos, cada um referente aos modos de persuasão de Aristóteles, isto é o ethos, pathos e logos, também designados pelo autor como “provas técnicas” na sua Techné Rhetoriké, obra inaugural sobre o estudo reflexivo do que ele designa por “meios persuasivos implicados em cada caso”. Uma especial atenção é focada nas três técnicas de criação da empatia, procedimentos essenciais para dispor o auditório perante o orador e para a criação de culto à personalidade. A interpretação e o desenvolvimento da linguagem corporal é, sem dúvida uma base importante para toda a comunicação persuasiva e, por isso mesmo, a maior parte dos procedimentos puramente retóricos serão interlaçados com a comunicação não-verbal que, segundo algumas estimativas, representa 95% de toda a comunicação. Não será ousado dizer que a comunicação não-verbal esta já, presente na interacção entre os animais de uma mesma espécie, designadamente nos rituais de acasalamento. Por isso, ser-nos-ia impossível ignorar o seu contributo numa investigação sobre a persuasão e a manipulação no quadro da comunicação interpessoal. Como corolário da investigação a desenvolver na presente Dissertação, procederemos a uma análise empírica das técnicas de persuasão e de manipulação utilizadas num filme de propaganda de 1934 sobre a Alemanha Nazi da terceira década do século XX, realizado por Leni Riefenstahl e chamado “O triunfo da vontade”. Propomos, no limite, demonstrar a eficácia performativa da retórica quando, como acontece no caso estudado, é levada ao limite na sua capacidade de manipulação e controlo da mente humana. Só que, no caso empírico estudado, não estamos já a falar, com rigor, da arte retórica tal como foi fundada por Aristóteles e reabilitada por Chaïm Perelman, mas sim de refinados artifícios retóricos ao serviço da manipulação e controlo do pensamento. Com esta investigação pretendo demostrar a importância da comunicação estratégica e tecnicamente estruturada assente nos modos de persuasão retórica, com a finalidade desta ser eficaz

Aspectos da mesa do rei. Entre a Idade Média e a Época Moderna

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