Estratégias de exploração emocional na sala de aula. Recursos didácticos para a educação musical 2º e 3º ciclos do Ensino Básico

Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino de Educação Musical no Ensino Básico

Caracterização do papel do gene bola: consequências na motilidade bacteriana e formação de biofilmes

Dissertação para obtenção do Grau de Mestre em Microbiologia Médica

O treino da expressão oral, estratégias em E-learning

Trabalho de Projeto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Gestão de Sistemas de E‐learning

Haptic robot-environment interaction for self-supervised learning in ground mobility

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

Implementação de códigos LDPC em OFDM e SC-FDE

Os desenvolvimentos dos sistemas de comunicação sem fios apontam para transmissões de alta velocidade e alta qualidade de serviço com um uso eficiente de energia. Eficiência espectral pode ser obtida por modulações multinível, enquanto que melhorias na eficiência de potência podem ser proporcionadas pelo uso de códigos corretores de erros. Os códigos Low-Density Parity-Check (LDPC), devido ao seu desempenho próximo do limite de Shannon e baixa complexidade na implementação e descodificação são apropriados para futuros sistemas de comunicações sem fios. Por outro lado, o uso de modulações multinível acarreta limitações na amplificação. Contudo, uma amplificação eficiente pode ser assegurada por estruturas de transmissão onde as modulações multinível são decompostas em submodulações com envolvente constante que podem ser amplificadas por amplificadores não lineares a operar na zona de saturação. Neste tipo de estruturas surgem desvios de fase e ganho, produzindo distorções na constelação resultante da soma de todos os sinais amplificados. O trabalho foca-se no uso dos códigos LDPC em esquemas multiportadora e monoportadora, com especial ênfase na performance de uma equalização iterativa implementada no domínio da frequência por um Iterative Block-Decision Feedback Equalizer (IB-DFE). São analisados aspectos como o impacto do número de iterações no processo de descodificação dentro das iterações do processo de equalização. Os códigos LDPC também serão utilizados para compensar os desvios de fase em recetores iterativos para sistemas baseados em transmissores com vários ramos de amplificação. É feito um estudo sobre o modo como estes códigos podem aumentar a tolerância a erros de fase que incluí uma análise da complexidade e um algoritmo para estimação dos desequilíbrios de fase.

Report of a traineeship : audit of antidepressant prescribing in Primary and Mental Care: how to address appropriateness and keep a curb on costs. A tool suitable for all contexts?

RESUMO: Este é o relatório de um estágio realizado na Autoridade de Saúde Local de Bolonha com o objectivo de desenvolver capacidades e competências na área de projectos orientados para a avaliação com base epidemiológica. As prescrições de anti-depressivos aumentaram consideravelmente em todo o mundo durante as últimas décadas. O uso cada vez maior dos agentes mais dispendiosos desempenha um papel na subida do custo dos tratamentos. A Autoridade de Saúde Local de Bolonha implementou um processo de auditoria com o objectivo de melhorar a adequação das prescrições de pacientes externos, centrando-se em dois anti-depressivos de marca ainda protegidos por patente, Escitalopram e Duloxetine. Os Departamentos de Cuidados de Saúde Primários e de Cuidados de Saúde Mental, assim como o Departamento Farmacêutico e a Unidade de Gestão Clínica, estiveram envolvidos na fase de planeamento da auditoria. O grupo da auditoria, maioritariamente composto por médicos de clínica geral e psiquiatras, reuniu e analisou provas da eficácia e segurança dos anti-depressivos. Os dados sobre as prescrições das Unidades de Cuidados de Saúde Primários e dos Centros de Saúde Mental Comunitários da Autoridade de Saúde Local (866.294 habitantes) foram comparados, em particular as taxas de consumo de Escitalopram e Duloxetine. O grupo da auditoria definiu os standards a serem abordados, os indicadores a serem avaliados e as medidas a empreender para atingir os objectivos definidos. As directrizes do NICE sobre a depressão foram escolhidas como referência. O objectivo da auditoria foi definido como evitar o Escitalopram e Duloxetine como medicamentos de primeira escolha num tratamento anti-depressivo. De modo a verificar a eficácia das medidas empreendidas foi seleccionado um indicador, consistindo numa redução de 25% das prescrições de ambos os anti-depressivos na prática clínica de pacientes externos e numa redução de 20% da variabilidade nas Unidades de Cuidados de Saúde Primários. O relatório retrospectivo pré-auditoria (Janeiro a Abril de 2012) revelou que os tratamentos com anti-depressivos para pacientes externos eram prescritos pelos médicos de clínica geral em mais de90% dos casos. As medidas da auditoria foram implementadas entre Novembro de 2012 e Maio de 2013. Algumas medidas relevantes foram integradas com a revisão da auditoria, tais como reuniões educacionais de pequena escala com os médicos de clínica geral e psiquiatras, visitas de apoio do assessor de prescrições da Autoridade de Saúde Local aos médicos de clínica geral e Centros de Saúde Mental Comunitários, panfletos para profissionais com informação retirada das directrizes clínicas do NICE, implementação de um serviço de consulta na Web para médicos de clínica geral sobre provas relativas a anti-depressivos. O relatório de feedback é aguardado em Novembro de 2013 depois de se verificar nos standards atingidos a eficácia das medidas implementadas. Foi realizada uma análise SWOT para comprovar as forças e fraquezas, as oportunidades e ameaças do processo. Como identificação de fraquezas poderá ser útil identificar estratégias relevantes para melhoria interna, para que o conhecimento das ameaças possa amortizar factores que possam ter impactos adversos que fujam ao controlo do Departamento de Saúde Mental. Uma melhor compreensão das forças e das oportunidades facilita a consecução dos objectivos estabelecidos no projecto. O primeiro, mas não o último, resultado deste processo consistiu numa maior integração entre os Cuidados de Saúde Primários e de Saúde Mental, permitindo assim que a Autoridade de Saúde Local coloque as alterações em prática.------------ABSTRACT: This is the report of a traineeship held in the Local Health Authority of Bologna with the aim to develop skills and competencies in the field of epidemiogically based evaluation oriented projects. Antidepressants prescriptions have considerably increased all over the world in the last decades. The increasing use of the most expensive agents plays a part in the rising cost of treatments. The Local Health Authority of Bologna has implemented an audit process aimed at improving the appropriateness of outpatient prescriptions focusing on the two branded antidepressants still protected by patent, Escitalopram and Duloxetine. The Primary Care and the Mental Health Care Departments, as well as the Pharmaceutical Department and the Clinical Governance Unit, were involved in the planning phase of the audit. The audit group, mainly composed of general practitioners and psychiatrists, collected and analyzed scientific evidence on effectiveness and safety of antidepressants. Data on prescriptions of Primary Care Units and Community Mental Health Centers of the Local Health Authority (866.294 inhabitants) were compared, in particular consumption rates of Escitalopram and Duloxetine. The audit group defined the standards to be addressed, the indicators to be evaluated and the actions aimed at reaching the defined goals. NICE guidelines on depression were chosen as reference. The aim of the audit was settled as avoiding Escitalopram and Duloxetine as first choice drugs starting an AD treatment. In order to check the efficacy of the actions undertaken an indicator was selected, consisting in a reduction of 25% of prescriptions of both ADs in outpatient practice and in a 20% reduction of To develop skills and competencies across Primary Care Units. The pre-audit retrospective report (January-April 2012) showed that outpatient antidepressant treatments were prescribed by GPs in over 90% of cases. Audit actions were implemented between November 2012 and May 2013. Some relevant actions have been integrated with the audit review, such as small-scale educational meetings with GPs and psychiatrists, outreach visits of the LHA prescribing adviser to GPs and CMHCs,leaflets for professionals with information extracted from NICE clinical guidelines, implementation of a web consultation service for GPs about evidence on antidepressants. The feedback report is expected in November 2013 after checking through the standards attained the effectiveness of actions implemented. A SWOT Analysis was carried out to evidence the strengths and weaknesses, opportunities and threats of the process. As identification of weaknesses may be useful to identify relevant strategies for internal improvement, so the knowledge of threats can amortize factors that may have adverse impacts beyond the control of the Mental Health Department. Better understanding of the strengths and the opportunities facilitates the achievement of the goals set in the project. The first and not least upshot of this process has consisted in further integration between Primary and Mental Health Care, thus enabling the LHA to put the change into practice.

Transimpedance amplifier for early detection of breast cancer

Breast cancer is the most common type of cancer worldwide. The effectiveness of its treatment depends on early stage detection, as well as on the accuracy of its diagnosis. Recently, diagnosis techniques have been submitted to relevant breakthroughs with the upcoming of Magnetic Resonance Imaging, Ultrasound Sonograms and Positron Emission Tomography (PET) scans, among others. The work presented here is focused on studying the application of a PET system to a Positron Emission Mammography (PEM) system. A PET/PEM system works under the principle that a scintillating crystal will detect a gamma-ray pulse, originated at the cancerous cells, converting it into a correspondent visible light pulse. The latter must then be converted into an electrical current pulse by means of a Photo- -Sensitive Device (PSD). After the PSD there must be a Transimpedance Amplifier (TIA) in order to convert the current pulse into a suitable output voltage, in a time period lower than 40 ns. In this Thesis, the PSD considered is a Silicon Photo-Multiplier (SiPM). The usage of this recently developed type of PSD is impracticable with the conventional TIA topologies, as it will be proven. Therefore, the usage of the Regulated Common-Gate (RCG) topology will be studied in the design of the amplifier. There will be also presented two RCG variations, comprising a noise response improvement and differential operation of the circuit. The mentioned topology will also be tested in a Radio-Frequency front-end, showing the versatility of the RCG. A study comprising a low-voltage self-biasing feedback TIA will also be shown. The proposed circuits will be simulated with standard CMOS technology (UMC 130 nm), using a 1.2 V power supply. A power consumption of 0.34 mW with a signal-to-noise ratio of 43 dB was achieved.

Divulgar ciência para diferentes públicos. Uma experiência no projeto STOL - Science Through Our Lives

O estágio que aqui se relata enquadra-se no âmbito do mestrado em Comunicação de Ciência, da Faculdade de Ciências Sociais Humanas (FCSH) da Universidade Nova de Lisboa (UNL) e do Instituto de Tecnologia Química e Biológica (ITQB). Foi realizado no projeto STOL – Science Through Our Lives, do Centro de Biologia Molecular e Ambiental (CBMA) da Escola de Ciências da Universidade do Minho (ECUM), e teve a duração de três meses. Esta componente prática do mestrado permitiu desenvolver um trabalho in loco, com o objetivo de servir, sobretudo, a comunicação de ciência informal. As principais atividades desenvolvidas foram exposições (Homo numericus; “Ponto a Ponto Enche a Ciência o Espaço), produção de materiais educativos (Objetos Educativos para a Casa das Ciências), campanhas de sensibilização (Comemoração do Dia Mundial da Água), auscultação do público (Vox Pop), crónicas de jornal (coluna “Aqui há Ciência”) e estabelecimento de parcerias estratégicas entre o STOL e outras forças vivas da região (AVianense e “Diário do Minho”). Ao integrar as atividades a decorrer no projeto STOL, foi possível contribuir com sugestões e novos materiais, e implementar projetos cujo principal objetivo foi o contacto direto com o público. De todo o trabalho se obteve um feedback positivo, conforme se documenta neste relatório e respetivos anexos. Se alguns constrangimentos podem ser enunciados (falta de recursos económicos e humanos, fraca tradição de envolvimento da população com a ciência e vice-versa, e a considerável falta de apoio institucional a atividades de divulgação de ciência), também devem ser evidenciados aspetos muito positivos como a dinâmica do grupo STOL, a capacidade de envolver diferentes públicos nas suas atividades, diferenciar estratégias para esses grupos, e finalmente, avaliar, sempre que possível, o seu desempenho, incluindo os resultados nas atividades seguintes. Neste contexto foram aplicados os conhecimentos adquiridos durante o primeiro ano curricular do mestrado, permitindo o ganho de experiência na área de trabalho onde a autora se sente realizada e pretende permanecer.

Trans-Synaptic Signaling by Activity-Dependent Cleavage of Neuroligin-1

Throughout the brain, patterns of activity in postsynaptic neurons influence the properties of synaptic inputs. Such feedback regulation is central to neural network stability that underlies proper information processing and feature representation in the central nervous system. At the cellular level, tight coupling of presynaptic and postsynaptic function is fundamental to neural computation and synaptic plasticity. The cohort of protein complexes at the pre and postsynaptic membrane allows for tight synapse-specific segregation and integration of diverse molecular and electrical signals.(...)

A DSL for querying building data streams of energy, eeather and occupation data

The superfluous consumption of energy is faced by the modern society as a Socio-Economical and Environmental problem of the present days. This situation is worsening given that it is becoming clear that the tendency is to increase energy price every year. It is also noticeable that people, not necessarily proficient in technology, are not able to know where savings can be achieved, due to the absence of accessible awareness mechanisms. One of the home user concerns is to balance the need of reducing energy consumption, while producing the same activity with all the comfort and work efficiency. The common techniques to reduce the consumption are to use a less wasteful equipment, altering the equipment program to a more economical one or disconnecting appliances that are not necessary at the moment. However, there is no direct feedback from this performed actions, which leads to the situation where the user is not aware of the influence that these techniques have in the electrical bill. With the intension to give some control over the home consumption, Energy Management Systems (EMS) were developed. These systems allow the access to the consumption information and help understanding the energy waste. However, some studies have proven that these systems have a clear mismatch between the information that is presented and the one the user finds useful for his daily life, leading to demotivation of use. In order to create a solution more oriented towards the user’s demands, a specially tailored language (DSL) was implemented. This solution allows the user to acquire the information he considers useful, through the construction of questions about his energy consumption. The development of this language, following the Model Driven Development (MDD) approach, took into consideration the ideas of facility managers and home users in the phases of design and validation. These opinions were gathered through meetings with experts and a survey, which was conducted to the purpose of collecting statistics about what home users want to know.

Control system for actuation and sensing in digital microfluidics devices

Digital Microfluidics (DMF) is a second generation technique, derived from the conventional microfluidics that instead of using continuous liquid fluxes, it uses only individual droplets driven by external electric signals. In this thesis a new DMF control/sensing system for visualization, droplet control (movement, dispensing, merging and splitting) and real time impedance measurement have been developed. The software for the proposed system was implemented in MATLAB with a graphical user interface. An Arduino was used as control board and dedicated circuits for voltage switching and contacts were designed and implemented in printed circuit boards. A high resolution camera was integrated for visualization. In our new approach, the DMF chips are driven by a dual-tone signal where the sum of two independent ac signals (one for droplet operations and the other for impedance sensing) is applied to the electrodes, and afterwards independently evaluated by a lock-in amplifier. With this new approach we were able to choose the appropriated amplitudes and frequencies for the different proposes (actuation and sensing). The measurements made were used to evaluate the real time droplet impedance enabling the knowledge of its position and velocity. This new approach opens new possibilities for impedance sensing and feedback control in DMF devices.

Design of a CMOS amplifier for breast cancer detection

A transimpedance amplifier (TIA) is used, in radiation detectors like the positron emission tomography(PET), to transform the current pulse produced by a photo-sensitive device into an output voltage pulse with a desired amplitude and shape. The TIA must have the lowest noise possible to maximize the output. To achieve a low noise, a circuit topology is proposed where an auxiliary path is added to the feedback TIA input, In this auxiliary path a differential transconductance block is used to transform the node voltage in to a current, this current is then converted to a voltage pulse by a second feedback TIA complementary to the first one, with the same amplitude but 180º out of phase with the first feedback TIA. With this circuit the input signal of the TIA appears differential at the output, this is used to try an reduced the circuit noise. The circuit is tested with two different devices, the Avalanche photodiodes (APD) and the Silicon photomultiplier (SIPMs). From the simulations we find that when using s SIPM with Rx=20kΩ and Cx=50fF the signal to noise ratio is increased from 59 when using only one feedback TIA to 68.3 when we use an auxiliary path in conjunction with the feedback TIA. This values where achieved with a total power consumption of 4.82mv. While the signal to noise ratio in the case of the SIPM is increased with some penalty in power consumption.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

Mobile image processing to support educational geometry games

The mobile IT era is here, it is still growing and expanding at a steady rate and, most of all, it is entertaining. Mobile devices are used for entertainment, whether social through the so-called social networks, or private through web browsing, video watching or gaming. Youngsters make heavy use of these devices, and even small children show impressive adaptability and skill. However not much attention is directed towards education, especially in the case of young children. Too much time is usually spent in games which only purpose is to keep children entertained, time that could be put to better use such as developing elementary geometric notions. Taking advantage of this pocket computer scenario, it is proposed an application geared towards small children in the 6 – 9 age group that allows them to consolidate knowledge regarding geometric shapes, forming a stepping stone that leads to some fundamental mathematical knowledge to be exercised later on. To achieve this goal, the application will detect simple geometric shapes like squares, circles and triangles using the device’s camera. The novelty of this application will be a core real-time detection system designed and developed from the ground up for mobile devices, taking into account their characteristic limitations such as reduced processing power, memory and battery. User feedback was be gathered, aggregated and studied to assess the educational factor of the application.

Social-media monitoring for cold-start recommendations

Generating personalized movie recommendations to users is a problem that most commonly relies on user-movie ratings. These ratings are generally used either to understand the user preferences or to recommend movies that users with similar rating patterns have rated highly. However, movie recommenders are often subject to the Cold-Start problem: new movies have not been rated by anyone, so, they will not be recommended to anyone; likewise, the preferences of new users who have not rated any movie cannot be learned. In parallel, Social-Media platforms, such as Twitter, collect great amounts of user feedback on movies, as these are very popular nowadays. This thesis proposes to explore feedback shared on Twitter to predict the popularity of new movies and show how it can be used to tackle the Cold-Start problem. It also proposes, at a finer grain, to explore the reputation of directors and actors on IMDb to tackle the Cold-Start problem. To assess these aspects, a Reputation-enhanced Recommendation Algorithm is implemented and evaluated on a crawled IMDb dataset with previous user ratings of old movies,together with Twitter data crawled from January 2014 to March 2014, to recommend 60 movies affected by the Cold-Start problem. Twitter revealed to be a strong reputation predictor, and the Reputation-enhanced Recommendation Algorithm improved over several baseline methods. Additionally, the algorithm also proved to be useful when recommending movies in an extreme Cold-Start scenario, where both new movies and users are affected by the Cold-Start problem.