Juvenile Parkinson disease caused by parkin mutations: large deletions and pathogenic mechanisms

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

A learning approach to swarm-based path detection and tracking

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

Non-clinical isolates bring new findings on enterococcal virulence

Dissertation presented to obtain the PhD degree in Biology

Measuring poverty in Portugal: an absolute approach

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Anti-apolipoprotein A-I antibodies in the pathogenesis of Alzheimer disease : project plan

RESUMO: A doença de Alzheimer (AD) é a forma mais comum de demência em todo o mundo e sua prevalência deverá duplicar até 2050. Os mecanismos precisos responsáveis pela AD são desconhecidas mas as características histopatológicas estão bem caracterizadas. A hipótese mais importante para a perda neuronal e declínio cognitivo na AD é a cascata amilóide que indica que AD é o resultado da sobreprodução de beta amilóide (Aβ) e / ou remoção ineficaz; a acumulação do BA no cérebro seria o passo crítico na patogénese da AD. Actualmente, a identificação de proteínas que se ligam ao Aβ e modulam a sua agregação e neurotoxicidade pode proporcionar a base para novas abordagens terapêuticas. A apolipoproteína AI (ApoA-I), o principal componente das HDL humanas, interage com o domínio extracelular da proteína precursora de amilóide (APP), bem como com o Aβ. Estudos epidemiológicos têm mostrado uma diminuição acentuada da ApoA-I plasmática em doentes com AD, com uma correlação inversa entre o nível de ApoA-I e o risco de AD. Este trabalho pretende apresentar um projecto que tem como objectivo investigar se os anticorpos anti-apo AI podem impedir a formação de complexos Aβ / ApoA-I, bloqueando o efeito protector da ApoA-I. A hipótese baseia-se na possibilidade dos doentes com AD terem anticorpos anti-ApoA-I plasmáticos e de estes poderem interferir com a formação do complexo no LCR.------- ABSTRACT:Alzheimer’s disease (AD) is the most common form of dementia world-wide and its prevalence is expected to double by the year 2050. The precise mechanisms responsible for AD are unknown but the histopathologic features are well-characterised. The most compelling hypothesis for neuronal loss and cognitive decline in AD is the amyloid cascade hypothesis which states that AD is the result of amyloid beta (Aβ) overproduction and/or ineffective clearance and its accumulation in the brain would be the critical step in AD pathogenesis. Currently, identification of proteins that bind Aβ and modulate its aggregation and neurotoxicity could provide the basis for novel treatment approaches. Apolipoprotein A-I (ApoA-I), the main constituent of human HDL, ApoA-I interacts with the extracellular domain of amyloid precursor protein (APP), as well as with Aβ itself. Epidemiological studies have shown a marked decrease of plasma ApoA-I levels in AD patients, with an inverse correlation between the ApoA-I level and the risk of AD. This work intends to present a project that aims to investigate if anti-ApoA-I antibodies may prevent the formation of the Aβ /ApoA-I complex and by doing so blocking the protective effect of ApoA-I in AD. We base the hypothesis on the possibility that patients with AD might have anti-ApoA-I antibodies in plasma and that these can interfere with the complex formation in the cerebrospinal fluid (CSF).

Financing green development: 'Climate Bonds’ as a solution for institutional investors engagement

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

Nanobiophotonics for biomolecular diagnostics

Dissertação para obtenção do Grau de Doutor em Biotecnologia

Characterization of sol-gel matrices with entrapped cutinase

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Recursive neuro fuzzy techniques for online identification and control

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

Three essays on economics of predictability of stock returns

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Electrodialytic remediation of two types of air pollution control residues and their applicability in construction materials

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente Perfil de Engenharia de Sistemas Ambientais

Longitudinal evaluation of hemorheological markers in acute inflammatory diseases

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

Construction of Lean and Green indexes to measure companies’ performance

The demand for costs and time reductions in companies’ processes, in order to increase efficiency, leads companies to seek innovative management paradigms to support their needs for growth and continuous improvement. The Lean paradigm has great relevance in companies’ need for waste reduction, particularly in manufacturing companies. On the other hand the demand of companies for waste reduction has gained a new dimension not only at the material level, but also at the environmental level with the introduction of the Green paradigm. As such, manufacturing companies have been adopting practices that reduce the impact of their activities on the environment. Although nowadays many manufacturing companies already implement waste reduction practices related to Lean and Green paradigms, many of them are unable to understand specifically if their efforts are enough for the application of these practices to be successful or even if their actual performance in implementing Lean or Green practices reflects the self-assessment that they have of themselves. Thus, besides the study of the development of Lean and Green paradigms in recent years, the present dissertation has the important objective of the construction of two indexes (the Lean Index and the Green Index) enabling the measurement of the performance of Portuguese manufacturing companies relating the implementation of Lean and Green practices. The data used to create the Lean and Green indexes where obtained from the implementation of the European Manufacturing Survey 2012 in Portugal. The survey questions related to the implementation of Lean and Green practices are used as variables in the development of the model for the two indexes. For the construction of representative expressions of Lean Index and Green Index it was applied the Factorial Analysis for assigning the variables weights and aggregation.

Numerical prediction of diffusion and electric field-induced iron nanoparticle transport

Zero valent iron nanoparticles (nZVI) are considered very promising for the remediation of contaminated soils and groundwaters. However, an important issue related to their limited mobility remains unsolved. Direct current can be used to enhance the nanoparticles transport, based on the same principles of electrokinetic remediation. In this work, a generalized physicochemical model was developed and solved numerically to describe the nZVI transport through porous media under electric field, and with different electrolytes (with different ionic strengths). The model consists of the Nernst–Planck coupled system of equations, which accounts for the mass balance of ionic species in a fluid medium, when both the diffusion and electromigration of the ions are considered. The diffusion and electrophoretic transport of the negatively charged nZVI particles were also considered in the system. The contribution of electroosmotic flow to the overall mass transport was included in the model for all cases. The nZVI effective mobility values in the porous medium are very low (10−7–10−4 cm2 V−1 s−1), due to the counterbalance between the positive electroosmotic flow and the electrophoretic transport of the negatively charged nanoparticles. The higher the nZVI concentration is in the matrix, the higher the aggregation; therefore, low concentration of nZVI suspensions must be used for successful field application.