Digital-domain self-calibration technique for video-rate pipeline A/D converters using Gaussian white noise

Electronics Letters Vol.38, nº 19

Avaliação da contaminação em metais pesados no pescado: análise da situação do pescado comercializado em Portugal e dos alertas emitidos pelo sistema RASFF (Rapid Alert System for Food and Feed)

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Tecnologia e Segurança Alimentar

Efficient digital self-calibration of video-rate pipeline ADCs using white gaussian noise

Proceedings of IEEE, ISCAS 2003, Vol.I, pp. 877-880

Estimation of infection rate in epidemic models with multiple populations

Dissertação para obtenção do Grau de Mestre em Matemática e Aplicações Especialização em Actuariado, Estatística e Investigação Operacional

Fsp27/CIDEC is a CREB target gene induced during fasting and regulated by fatty acid oxidation rate

Dissertação para obtenção do Grau de Mestre em Biotecnologia

The impact of sizeof the firm and exchange rate in the export propensity of domestic and foreign owned firms in a developing country: A study of the Brazilian exporters

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

Acredita Portugal: How to improve the implementation rate of entrepreneurial projects?

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

Machine learning Gaussian short rate

Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco

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.

Barreiras e estímulos ao aleitamento materno exclusivo na Província do Uíge, Angola

RESUMO - É recomendado o aleitamento materno exclusivo desde o nascimento até aos 6 meses. Angola apresenta uma situação bastante preocupante, pois é um dos países do mundo com maior taxa de mortalidade infantil: em 2010 era de 114,9 mortes por cada 1000 nascimentos. O desmame precoce, a contaminação dos alimentos e da água potável e a desnutrição criam condições para aparecimento de doenças que causam elevadas mortes em crianças com menos de um ano. Em muitas regiões de África, o parto ainda é um acontecimento marcado por práticas culturais ancestrais que podem prejudicar a saúde e sobrevivência dos recém-nascidos, além de pôr em perigo a vida das mães. Algumas dessas práticas incluem: (i) deitar fora o colostro; e (ii) alimentar os bebés com outros alimentos que não o leite materno. Este estudo é quantitativo com metodologia transversal e pretende identificar, descrever e analisar os fatores que contribuem para o abandono do aleitamento materno exclusivo antes dos 6 meses de idade, na província do Uíge, em Angola, bem como indicar formas de intervenção para que os índices de prevalência do aleitamento materno exclusivo possam aumentar. A população em estudo são mães com filhos até um ano de idade e utilizadoras do centro de saúde materno infantil do município sede da província de Uíge em Angola, da qual será considerada uma amostra de 418 mães. Os dados obtidos através de questionário serão registados em quadros e gráficos para posterior análise estatística através de tabelas de frequências, cálculo de percentagens e taxas de incidência.

Structured products in the current low interest rate environment

Directed Research Internship

Using artificial neural networks to generate trading signals for crude oil, copper and gold futures

In this thesis, a feed-forward, back-propagating Artificial Neural Network using the gradient descent algorithm is developed to forecast the directional movement of daily returns for WTI, gold and copper futures. Out-of-sample back-test results vary, with some predictive abilities for copper futures but none for either WTI or gold. The best statistically significant hit rate achieved was 57% for copper with an absolute return Sharpe Ratio of 1.25 and a benchmarked Information Ratio of 2.11.

Exchange rate pressure in Angola

The objective of this work is to develop an operational tool to analyze exchange rate pressure in the context of Angola. The Angolan economy exhibits a number of relevant characteristics: a closed financial account, a partially controlled current account, a highly dollarized economy and exports (oil) price determined in World markets. These features have a direct effect on the demand of foreign currency and motivate their inclusion in the specification of a model for Angola. The model provides the rational for a measure of an exchange market rate pressure (EMP) index that contains exports changes, imports changes, the foreign interest rate and inflation and the change in foreign reserves corrected for a measure dollarization. The empirical performance new measure is comparable (slightly better) to the performance of the EMP indexes obtained in Eichengreen Rose and Wyplosz (1994) and Klassen and Jager (2011).