Energy transduction by respiratory complex I

Dissertation presented to obtain a PhD degree in Biochemistry at the Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa

Systems biotechnology of baculovirus-producing insect cells

Dissertation presented to obtain the Ph.D degree in Ciências da Engenharia e Tecnologia, especialidade Biotecnologia

Expression of cyclooxygenase enzymes and prostaglandin E2 receptors in inflammatory airway diseases

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

A new biomimetic sensor for detecting carnitine, a potential biomarker in ovarian cancer

1st ASPIC International Congress

Dynamical Analysis and Visualization of Tornadoes Time Series

In this paper we analyze the behavior of tornado time-series in the U.S. from the perspective of dynamical systems. A tornado is a violently rotating column of air extending from a cumulonimbus cloud down to the ground. Such phenomena reveal features that are well described by power law functions and unveil characteristics found in systems with long range memory effects. Tornado time series are viewed as the output of a complex system and are interpreted as a manifestation of its dynamics. Tornadoes are modeled as sequences of Dirac impulses with amplitude proportional to the events size. First, a collection of time series involving 64 years is analyzed in the frequency domain by means of the Fourier transform. The amplitude spectra are approximated by power law functions and their parameters are read as an underlying signature of the system dynamics. Second, it is adopted the concept of circular time and the collective behavior of tornadoes analyzed. Clustering techniques are then adopted to identify and visualize the emerging patterns.

State Space Analysis of Forest Fires

This paper studies forest fires from the perspective of dynamical systems. Burnt area, precipitation and atmospheric temperatures are interpreted as state variables of a complex system and the correlations between them are investigated by means of different mathematical tools. First, we use mutual information to reveal potential relationships in the data. Second, we adopt the state space portrait to characterize the system’s behavior. Third, we compare the annual state space curves and we apply clustering and visualization tools to unveil long-range patterns. We use forest fire data for Portugal, covering the years 1980–2003. The territory is divided into two regions (North and South), characterized by different climates and vegetation. The adopted methodology represents a new viewpoint in the context of forest fires, shedding light on a complex phenomenon that needs to be better understood in order to mitigate its devastating consequences, at both economical and environmental levels.

A system model and stack for the parallelization of time-critical applications on many-core architectures

3rd Workshop on High-performance and Real-time Embedded Systems (HIRES 2015). 21, Jan, 2015. Amsterdam, Netherlands.

Architecture to Support Quality of Service in Arrowhead Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.

Bioactive beads for local sensing of proteases in 3D engineered tissues

Dissertação para obtenção do Grau de Doutor em Bioengenharia (MIT)

O Papel da Memória de Trabalho na Perturbação do Desenvolvimento da Coordenação, em Crianças Com Diagnóstico de Perturbação de Hiperatividade e Défice de Atenção

Este estudo pretende (1) encontrar a prevalência da Perturbação do Desenvolvimento da Coordenação (PDC) em crianças com Perturbação de Hiperatividades e Défice de Atenção (PHDA); (2) analisar qual a prevalência de défices de memória de trabalho verbal e não-verbal, em crianças com PHDA e comparar o desempenho entre as crianças que só apresentam PHDA e aquelas que apresentam também PDC; (3) verificar se a ocorrência de PDC é agravada, de acordo com a presença ou ausência de alterações de memória de trabalho e se estas podem ser consideradas fatores de risco ou de proteção para a manifestação de PDC, enquanto comorbilidade de PHDA. Foram selecionadas 37 crianças com diagnóstico de PHDA, com idades compreendidas entre os 7 e os 14 anos. A componente motora foi avaliado com a versão curta do Bruininks-Oseretsky Test of Motor Proficiency (BOTMP) e o Questionário de Perturbação do Desenvolvimento da Coordenação 2007 (DCDQ’07); a memória de trabalho foi avaliada através da Figura Complexa de Rey, Trail Making Test - parte B e Memória de Dígitos – sentido inverso. Para determinar o impacto da memória de trabalho na componente motora, recorreu-se a uma regressão logística. Encontrou-se uma prevalência de PDC de 51% e de défices ao nível da memória de trabalho verbal e não-verbal de 60% e 80%, respetivamente, para a amostra total de crianças com PHDA. A terapêutica farmacológica para a PHDA revelou-se fator protetor para a manifestação de PDC, principalmente quando a primeira se encontra associada com o nascimento de termo. Um mau desempenho no teste Memória de Dígitos – sentido inverso é fator de risco para a manifestação de PDC, em crianças com PHDA. Este estudo permitiu verificar que crianças com PHDA+PDC apresentam défices motores genuínos, característicos de manifestação de PDC. Parecem também existir relações bastante complexas entre a memória de trabalho e os mecanismos de controlo motor na PHDA, sendo que estes podem ser distintos quando está presente uma comorbilidade de PDC.

Molecular determinants of ligand specificity in carbohydrate-binding modules: an NMR and X-ray crystallography integrated study

Dissertação para obtenção do Grau de Doutor em Bioquímica – Ramo Bioquímica Estrutural

Troia Roman baths (Portugal) – Assessment of history of interventions

International Seminar in Conservation. A Tribute to Cesari Brandi. Lisboa, LNEC, May 2006, p.273-282

Modelling of a wastewater treatment plant using GPS-X

Dissertation to obtain the degree of Master in Chemical and Biochemical Engineering

Mechanical characterization of aortas using 2D ultrasound elastography

Rupture of aortic aneurysms (AA) is a major cause of death in the Western world. Currently, clinical decision upon surgical intervention is based on the diameter of the aneurysm. However, this method is not fully adequate. Noninvasive assessment of the elastic properties of the arterial wall can be a better predictor for AA growth and rupture risk. The purpose of this study is to estimate mechanical properties of the aortic wall using in vitro inflation testing and 2D ultrasound (US) elastography, and investigate the performance of the proposed methodology for physiological conditions. Two different inflation experiments were performed on twelve porcine aortas: 1) a static experiment for a large pressure range (0 – 140 mmHg); 2) a dynamic experiment closely mimicking the in vivo hemodynamics at physiological pressures (70 – 130 mmHg). 2D raw radiofrequency (RF) US datasets were acquired for one longitudinal and two cross-sectional imaging planes, for both experiments. The RF-data were manually segmented and a 2D vessel wall displacement tracking algorithm was applied to obtain the aortic diameter–time behavior. The shear modulus G was estimated assuming a Neo-Hookean material model. In addition, an incremental study based on the static data was performed to: 1) investigate the changes in G for increasing mean arterial pressure (MAP), for a certain pressure difference (30, 40, 50 and 60 mmHg); 2) compare the results with those from the dynamic experiment, for the same pressure range. The resulting shear modulus G was 94 ± 16 kPa for the static experiment, which is in agreement with literature. A linear dependency on MAP was found for G, yet the effect of the pressure difference was negligible. The dynamic data revealed a G of 250 ± 20 kPa. For the same pressure range, the incremental shear modulus (Ginc) was 240 ± 39 kPa, which is in agreement with the former. In general, for all experiments, no significant differences in the values of G were found between different image planes. This study shows that 2D US elastography of aortas during inflation testing is feasible under controlled and physiological circumstances. In future studies, the in vivo, dynamic experiment should be repeated for a range of MAPs and pathological vessels should be examined. Furthermore, the use of more complex material models needs to be considered to describe the non-linear behavior of the vascular tissue.

Spatio-temporal patterns of tuberculosis incidence in Ribeirão Preto, State of São Paulo, southeast Brazil, and their relationship with social vulnerability: a Bayesian analysis

INTRODUCTION: The purpose of this ecological study was to evaluate the urban spatial and temporal distribution of tuberculosis (TB) in Ribeirão Preto, State of São Paulo, southeast Brazil, between 2006 and 2009 and to evaluate its relationship with factors of social vulnerability such as income and education level. METHODS: We evaluated data from TBWeb, an electronic notification system for TB cases. Measures of social vulnerability were obtained from the SEADE Foundation, and information about the number of inhabitants, education and income of the households were obtained from Brazilian Institute of Geography and Statistics. Statistical analyses were conducted by a Bayesian regression model assuming a Poisson distribution for the observed new cases of TB in each area. A conditional autoregressive structure was used for the spatial covariance structure. RESULTS: The Bayesian model confirmed the spatial heterogeneity of TB distribution in Ribeirão Preto, identifying areas with elevated risk and the effects of social vulnerability on the disease. We demonstrated that the rate of TB was correlated with the measures of income, education and social vulnerability. However, we observed areas with low vulnerability and high education and income, but with high estimated TB rates. CONCLUSIONS: The study identified areas with different risks for TB, given that the public health system deals with the characteristics of each region individually and prioritizes those that present a higher propensity to risk of TB. Complex relationships may exist between TB incidence and a wide range of environmental and intrinsic factors, which need to be studied in future research.