Economical and operational optimization of CALB immobilization on MP1000 for amidation of olein fatty acids with ethanolamine

Dissertação de Mestrado , Engenharia Biológica, Faculdade de Engenharia de Recursos Naturais, Universidade do Algarve, 2008

Optimisation du traitement thermomécanique de pièces d’acier fabriquées par métallurgie des poudres

Le forgeage de préformes fabriquées par métallurgie des poudres nous permet d’atteindre une densification voisine de la densité théorique ce qui a comme incidence directe une amélioration substantielle des propriétés mécaniques finales des pièces, notamment la résistance en fatigue. La démarche préconisée pour améliorer cette performance critique de pièces forgées par métallurgie des poudres consiste à optimiser leurs caractéristiques métallurgiques et leur densité concomitante. À ce propos, une nouvelle formulation d’acier MP a été développée et caractérisée. La stratégie de développement portait sur l’utilisation d’éléments de microalliage préalliés, comme le vanadium et le niobium. Pour ce faire, on a optimisé le paramètre de mise en œuvre primordial, qui est la température de forgeage, afin d’obtenir une fine taille de grains à la fin du cycle du traitement réalisé accompagnée d’une densité élevée des pièces forgées. Une série de traitements d’austénisation sur une gamme étendue de température variant entre 900 °C à 1250 °C a été effectuée ce qui nous a permis par la suite de connaître, pour chaque mélange, l’évolution de la taille des grains en fonction de la température d’austénisation. La nouvelle formulation de composition chimique a démontré un impact marqué quant au contrôle de la taille de grains en fonction de la température d’austénitisation. Une étude comparative nous a permis d’identifier la température de forgeage la plus appropriée pour ce type de pièces et de dégager la méthodologie à suivre en fonction des propriétés mécaniques et microstructurales.

O papel das novas tecnologias para a aprendizagem autónoma e a criação do conhecimento : com base em pedagogias construtivistas na disciplina de economia A

Relatório da prática de ensino supervisionada, Ensino da Economia e Contabilidade, Universidade de Lisboa, 2012

Seafood consumption in Portugal : patterns, drivers and sustainability

Tese de doutoramento, Ciências do Mar, Universidade de Lisboa, Faculdade de Ciências, 2014

Enhancing extractive summarization with automatic post-processing

Tese de doutoramento, Informática (Ciência da Computação), Universidade de Lisboa, Faculdade de Ciências, 2015

Optimatization of hybrid renewable energy systems on isolated microgrids : a smart grid approach

Tese de doutoramento, Sistemas Sustentáveis de Energia, Universidade de Lisboa, Faculdade de Ciências, 2016

Test and development of microcapsules for rigid polyurethane foam

Tese de mestrado em Química Tecnológica, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2016

Troubled waters: an institutional analysis of ageing Dutch and American waterway infrastructure

Waterways are one of the oldest systems for the transportation of cargo and continue to play a vital role in the economies of some countries. Due to societal change, climate change and the ageing of assets, the conditions influencing the effective functioning of these systems seem to be changing. These changing conditions require measures to renew, adapt or renovate these waterway systems. However, measures with the sole aim of improving navigation conditions have encountered resistance, as the general public, and stakeholders in particular, value these waters in many more ways than navigation alone. Therefore, a more inclusive, integrated approach is required, rather than a sectoral one. Addressing these contemporary challenges requires a shift in the traditional waterway authorities' regimes. The aim of this study is to identify elements in the institutional setting where obstacles and opportunities for a more inclusive approach can be found. Two major waterway systems, the American and the Dutch, have been analyzed using the Institutional Analysis and Development framework to reveal those obstacles and opportunities. The results show that horizontal coordination and a low pay-off for an inclusive approach is particularly problematic. The American case also reveals a promising aspect – mandatory local co-funding for federal navigation projects acts as a stimulus for broad stakeholder involvement. Improving horizontal coordination and seizing opportunities for multifunctional development can open pathways to optimize the value of waterway systems for society.

Serum estradiol: oocyte ratio as a predictor of reproductive outcome: an analysis of data from >9000 IVF cycles in the Republic of Ireland

Purpose The purpose of this study was to evaluate the serum estradiol (E2) per oocyte ratio (EOR) as a function of selected embryology events and reproductive outcomes with IVF. Methods This retrospective analysis included all IVF cycles where oocyte collection and fresh transfer occurred between January 2001 and November 2012 at a single institution. Patients were divided by three age groups (<35, 35–39, and ≥40 years) and further stratified into nine groups based on EOR (measured in pmol/L/oocyte). Terminal serum E2 (pmol/mL) was recorded on day of hCG trigger administration, and fertilization rate, cleavage rate, number of good quality embryos, and reproductive outcomes were recorded for each IVF cycle. Results During the study interval, 9109 oocyte retrievals were performed for 5499 IVF patients (mean = 1.7 cycles/patient). A total of 63.4 % of transfers were performed on day 3 (n = 4926), while 36.6 % were carried out on day 5 (n = 2843). Clinical pregnancy rates were highest in patients with EOR of 250–750 and declined as this ratio increased, independent of patient age. While the odds ratio (OR) for clinical pregnancy where EOR = 250–750 vs. EOR > 1500 was 3.4 (p < 0.001; 95 % CI 2.67–4.34), no statistically significant correlation was seen in fertilization, cleavage rates or number of good quality embryos as a function of EOR. Conclusions Predicting reproductive outcomes with IVF has great utility both for patients and providers. The former have the opportunity to build realistic expectations, and the latter are better able to counsel according to measured clinical parameters. A better understanding of follicular dynamics and ovarian response to gonadotropin stimulation could optimize IVF treatments going forward.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

MV producers and consumers agents characterization with DSM techniques

This paper consist in the establishment of a Virtual Producer/Consumer Agent (VPCA) in order to optimize the integrated management of distributed energy resources and to improve and control Demand Side Management DSM) and its aggregated loads. The paper presents the VPCA architecture and the proposed function-based organization to be used in order to coordinate the several generation technologies, the different load types and storage systems. This VPCA organization uses a frame work based on data mining techniques to characterize the costumers. The paper includes results of several experimental tests cases, using real data and taking into account electricity generation resources as well as consumption data.

Efeito imediato da técnica músculo energia do esternocleidomastóideo com ponto gatilho latente na sensibilidade dolorosa à pressão e nas amplitudes cervicais

Introdução: Os pontos gatilho (PG) do esternocleidomastóideo (ECM) podem ser a causa de dor na face e no crânio. A técnica músculo-energia (TME) pode ser utilizada na presença de PG. Objectivo: Verificar qual o efeito imediato da TME, aplicada no ECM, na sensibilidade dolorosa à pressão (SDP) do PG do ECM e nas amplitudes cervicais em comparação com uma técnica placebo. Metodologia: Uma amostra voluntária de 52 indivíduos foi dividida aleatoriamente por dois grupos. Inicialmente foi medida a SDP e as amplitudes dos movimentos activos da coluna cervical. Após a aplicação da TME, com 20% da força máxima, e da técnica placebo, nos respectivos grupos, a SDP e as amplitudes cervicais foram reavaliadas. Resultados: Não existiram diferenças estatísticas significativas para afirmar que os dados recolhidos antes e depois da aplicação da TME eram significativamente diferentes. Conclusão: Os efeitos imediatos da TME, neste estudo, não foram significativos. No entanto, a bibliografia aponta noutro sentido, tornando-se importante perceber de que forma podemos melhorar a aplicação da TME, de forma a optimizar os seus efeitos.

O Controlo interno nas Juntas de Freguesia

Orientadora: Doutora Alcina Dias Co-Orientadora: Doutora Ana Paula Lopes

Riscos e incerteza das fontes renováveis na produção de energia elétrica

Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia