Alterações da Actividade Autonómica Durante o Teste de Inclinação em Doentes com Fibrilhação Auricular Paroxística: Análise com Wavelets

The autonomic nervous system (ANS) is known to be an important modulator in the pathogenesis of paroxysmal atrial fibrillation (PAF). Changes in ANS control of heart rate variability (HRV) occur during orthostatism to maintain cardiovascular homeostasis. Wavelet transform has emerged as a useful tool that provides time-frequency decomposition of the signal under investigation, enabling intermittent components of transient phenomena to be analyzed. AIM: To study HRV during head-up tilt (HUT) with wavelet transform analysis in PAF patients and healthy individuals (normals). METHODS: Twenty-one patients with PAF (8 men; age 58 +/- 14 yrs) were examined and compared with 21 normals (7 men, age 48 +/- 12 yrs). After a supine resting period, all subjects underwent passive HUT (60 degrees) while in sinus rhythm. Continuous monitoring of ECG and blood pressure was carried out (Task Force Monitor, CNSystems). Acute changes in RR-intervals were assessed by wavelet analysis and low-frequency power (LF: 0.04-0.15 Hz), high-frequency power (HF: 0.15-0.60 Hz) and LF/HF (sympathovagal) were calculated for 1) the last 2 min of the supine period; 2) the 15 sec of tilting movement (TM); and 3) the 1st (TT1) and 2nd (TT2) min of HUT. Data are expressed as means +/- SEM. RESULTS: Baseline and HUT RR-intervals were similar for the two groups. Supine basal blood pressure was also similar for the two groups, with a sustained increase in PAF patients, and a decrease followed by an increase and then recovery in normals. Basal LF, HF and LF/ HF values in PAF patients were 632 +/- 162 ms2, 534 +/- 231 ms2 and 1.95 +/- 0.39 respectively, and 1058 +/- 223 ms2, 789 +/- 244 ms2 and 2.4 +/- 0.36 respectively in normals (p = NS). During TM, LF, HF and LF/HF values for PAF patients were 747 +/- 277 ms2, 387 +/- 94 ms2 and 2.9 +/- 0.6 respectively, and 1316 +/- 315 ms2, 698 +/- 148 ms2 and 2.8 +/- 0.6 respectively in normals (p < 0.05 for LF and HF). During TF1, LF, HF and LF/ HF values for PAF patients were 1243 +/- 432 ms2, 302 +/- 88 ms2 and 7.7 +/- 2.4 respectively, and 1992 +/- 398 ms2, 333 +/- 76 ms2 and 7.8 +/- 0.98 respectively for normals (p < 0.05 for LF). During TF2, LF, HF and LF/HF values for PAF patients were 871 +/- 256 ms2, 242 +/- 51 ms2 and 4.7 +/- 0.9 respectively, and 1263 +/- 335 ms2, 317 +/- 108 ms2 and 8.6 +/- 0.68 respectively for normals (p < 0.05 for LF/HF). The dynamic profile of HRV showed that LF and HF values in PAF patients did not change significantly during TM or TT2, and LF/HF did not change during TM but increased in TT1 and TT2. CONCLUSION: Patients with PAF present alterations in HRV during orthostatism, with decreased LF and HF power during TM, without significant variations during the first minutes of HUT. These findings suggest that wavelet transform analysis may provide new insights when assessing autonomic heart regulation and highlight the presence of ANS disturbances in PAF.

Reconstrução de Superfícies usando um Scanner 3D de Luz Estruturada

Ao longo dos últimos anos, os scanners 3D têm tido uma utilização crescente nas mais variadas áreas. Desde a Medicina à Arqueologia, passando pelos vários tipos de indústria, ´e possível identificar aplicações destes sistemas. Essa crescente utilização deve-se, entre vários factores, ao aumento dos recursos computacionais, à simplicidade e `a diversidade das técnicas existentes, e `as vantagens dos scanners 3D comparativamente com outros sistemas. Estas vantagens são evidentes em áreas como a Medicina Forense, onde a fotografia, tradicionalmente utilizada para documentar objectos e provas, reduz a informação adquirida a duas dimensões. Apesar das vantagens associadas aos scanners 3D, um factor negativo é o preço elevado. No âmbito deste trabalho pretendeu-se desenvolver um scanner 3D de luz estruturada económico e eficaz, e um conjunto de algoritmos para o controlo do scanner, para a reconstrução de superfícies de estruturas analisadas, e para a validação dos resultados obtidos. O scanner 3D implementado ´e constituído por uma câmara e por um projector de vídeo ”off-the-shelf”, e por uma plataforma rotativa desenvolvida neste trabalho. A função da plataforma rotativa consiste em automatizar o scanner de modo a diminuir a interação dos utilizadores. Os algoritmos foram desenvolvidos recorrendo a pacotes de software open-source e a ferramentas gratuitas. O scanner 3D foi utilizado para adquirir informação 3D de um crânio, e o algoritmo para reconstrução de superfícies permitiu obter superfícies virtuais do crânio. Através do algoritmo de validação, as superfícies obtidas foram comparadas com uma superfície do mesmo crânio, obtida por tomografia computorizada (TC). O algoritmo de validação forneceu um mapa de distâncias entre regiões correspondentes nas duas superfícies, que permitiu quantificar a qualidade das superfícies obtidas. Com base no trabalho desenvolvido e nos resultados obtidos, é possível afirmar que foi criada uma base funcional para o varrimento de superfícies 3D de estruturas, apta para desenvolvimento futuro, mostrando que é possível obter alternativas aos métodos comerciais usando poucos recursos financeiros.

Localização de Precisão Usando Redes Sem Fios Enterradas

As Redes Sem Fios Enterradas (Wireless Underground Networks - WUN) são formadas por nós que comunicam entre si através de ligações sem fios e têm como meio de propagação o solo. Os sistemas de localização mais utilizados atualmente têm desvantagens ao nível da precisão e o custo. Nesta tese é proposta uma solução de localização de precisão que recorre à utilização de redes sem fios enterradas e um algoritmo de posicionamento baseados em Wi-Fi. O objetivo é estimar a localização de objetos, utilizando dispositivos Wi-Fi de baixo custo. Os resultados experimentais obtidos demonstram que o erro de localização é inferior a 0,40 m, e que esta solução é viável para, por exemplo, localizar jogadores num campo de futebol ou localizar um objeto num campo agrícola.

EDP InovCity: Electricity feedback with smart meters through tv

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

Undetectable Levels of CSF Amyloid-β Peptide in a Patient with 17β-Hydroxysteroid Dehydrogenase Deficiency

17β-hydroxysteroid dehydrogenase 10 (HSD10) deficiency is a rare X-linked inborn error of isoleucine catabolism. Although this protein has been genetically implicated in Alzheimer's disease pathogenesis, studies of amyloid-β peptide (Aβ) in patients with HSD10 deficiency have not been previously reported. We found, in a severely affected child with HSD10 deficiency, undetectable levels of Aβ in the cerebrospinal fluid, together with low expression of brain-derived neurotrophic factor, α-synuclein, and serotonin metabolites. Confirmation of these findings in other patients would help elucidating mechanisms of synaptic dysfunction in this disease, and highlight the role of Aβ in both early and late periods of life.

Phlebotominae sand flies associated with a tegumentary leishmaniasis outbreak, Tucumán Province, Argentina

The distribution of sand flies and cases of tegumentary leishmaniasis in the area surrounding JB Alberd city, and the proximities of Catamarca province were studied, after an increase of reported cases from JB Alberdi, Tucumán province, in 2003. Of 14 confirmed cases, 57% were females and 57% were less than 15 years old, suggesting peridomestic transmission. However, 86% of them lived close to the Marapa river forest gallery and related wooded areas. Over 1,013 sand flies were collected; Lutzomyia neivai (Pinto, 1926) was prevalent at all the sites (92.3%), while Lutzomyia migonei (França, 1920) (6.7%) and Lu. cortelezzii (Brèthes, 1923) (1%) were also found. The spatial distribution of Lu. neivai overlapped that of the cases, with higher abundance in microfocal hot spots close to the river in stable vegetated habitats or modified habitats with shadow and animal blood sources. The cumulative outcome of anthropic, ecological and climatic factors could have contributed to the onset of the outbreak.

Spatial dynamics of urban populations of Lutzomyia longipalpis (Diptera: Psychodidae) in Caxias, State of Maranhão, Brazil

Introduction In this paper, we report the ecology of Lutzomyia longipalpis in Caxias City, located in the eastern part of State of Maranhão, Brazil and highlight its seasonal and geographical distribution by environment. In addition, we discuss natural Leishmania infection and its relationship with visceral leishmaniasis. Methods Between September 2007 and August 2009, the collection of sandflies was performed using Center for Disease Control (CDC) light traps from 15 houses in 5 selected neighborhoods. Results Lutzomyia longipalpis was present in all zones of the city. We also found that Lu. longipalpis was regularly detected both inside and around the house, predominantly in outdoor areas. In urban areas, Lu. longipalpis was present in both the dry and rainy seasons, with a higher density present in the latter. One female specimen of Lu. longipalpis was observed to have natural Leishmania infection. Conclusions The presence of Lu. longipalpis was observed throughout the year during 2 seasonal periods, with a predominance in the rainy season. A low rate of natural Leishmania infection was observed in urban areas during the rainy season.

Inventário de Medos III : Avaliação das qualidades psicométricas em uma amostra portuguesa

Este estudo teve como objetivo avaliar as qualidades psicométricas do Fear Survey Schedule-III, em uma amostra portuguesa. Participaram 1.980 sujeitos selecionados por conveniência a partir de uma população adulta normativa. As idades dos participantes estavam compreendidas entre os 18 e os 80 anos (M = 39,5, DP = 8,5), sendo 59% do sexo feminino. As qualidades psicométricas da escala foram avaliadas em suas facetas de sensibilidade psicométrica, validade de construto e confi abilidade. A validade externa de construto foi avaliada com análise multigrupos em amostra aleatória e independente da amostra de validação inicial. O modelo fatorial original proposto apresentou um ajustamento inaceitável à amostra de validação. Procedeu-se ao refi namento do modelo de medida em uma parte da amostra, selecionada aleatoriamente. Em conclusão, o modelo de medida simplifi cado apresentou uma boa qualidade de ajustamento fatorial e foi invariante em uma segunda amostra independente da primeira. Propôs-se uma nova estrutura hierárquica, com fator de 2ª ordem designado por “Medos”, que revelou boas qualidades psicométricas (sensibilidade, validade de construto e confi abilidade).

EDP inovcity: Electricity feedback with smart meters through TV

In this work project I propose an innovative service – Electricity Feedback with Smart Meters through TV – to be considered as an additional test in the residential electricity use feedback trials currently being conducted in EDP’s InovCity project. My proposal is based on relevant past and current research studies, both Portuguese and international, which explain and support the proposed operationalization and characteristics of this new service. Furthermore, a careful analysis about the segmentation framing, the best market entry strategy and the consequences of adopting a joint venture with cable TV operators, is also provided. Finally, I present a SWOT analysis and highlight critical issues affecting the effectiveness of feedback which require further research.

Prevalência do excesso de peso em idade pré-escolar no concelho da Murtosa: um estudo transversal

RESUMO - A prevalência de obesidade infantil em Portugal é das mais elevadas da Europa. No concelho da Murtosa (Aveiro), para estimar a prevalência de excesso de peso e obesidade entre os 3 e os 6 anos e determinar os factores que lhe estão associados, desenvolveu-se, durante o ano de 2008, um estudo transversal que consistiu na avaliação estatoponderal das crianças frequentadoras dos estabelecimentos de ensino pré-escolar do concelho e aplicação de um questionário aos pais sobre antecedentes e perinatais, hábitos alimentares, actividades da criança e características da família. Através de um modelo de regressão logística multivariada identificaram-se as variáveis associadas ao excesso de peso/obesidade. Participaram no estudo 258 crianças, estimando-se uma prevalência de excesso de peso de 15,5 % (IC 95 % : 11,6 % a 20,4 %) e de obesidade de 6,2 % (IC 95 % : 3,9 % a 9,8 % ). Observou-se uma maior prevalência de excesso de peso nos meninos (19,5 %) e de obesidade nas meninas (10,4 %). O excesso de peso materno e o hábito de comer a ver televisão aumentaram o risco de excesso de peso/obesidade (OR: 10,548; OR: 13,815); o maior número de horas de sono diário, o maior número de refeições diárias e o aumento ponderal materno durante a gravidez (OR: 0,490; OR: 0,366; OR: 0,804) associaram-se a um menor risco de excesso de peso/obesidade. Justifica-se o desenvolvimento de programas de prevenção primária e secundária da obesidade infantil dirigidos aos factores de risco modificáveis identificados, sugerindo-se a necessidade de uma abordagem familiar e da avaliação sistemática deste tipo de intervenções.

Necrotizing fasciitis in a newborn infant: a case report

We report the case of a one-day-old newborn infant, female, birth weight 1900 g, gestational age 36 weeks presenting with necrotizing fasciitis caused by E. coli and Morganella morganii. The newborn was allowed to fall into the toilet bowl during a domestic delivery. The initial lesion was observed at 24 hours of life on the left leg at the site of the venipuncture for the administration of hypertonic glucose solution. Despite early treatment, a rapid progression occurred resulting in a fatal outcome. We call attention to the risk presented by this serious complication in newborns with a contaminated delivery, and highlight the site of the lesion and causal agents.

Predicting market movement with Artificial Neural Networks

This paper presents an application of an Artificial Neural Network (ANN) to the prediction of stock market direction in the US. Using a multilayer perceptron neural network and a backpropagation algorithm for the training process, the model aims at learning the hidden patterns in the daily movement of the S&P500 to correctly identify if the market will be in a Trend Following or Mean Reversion behavior. The ANN is able to produce a successful investment strategy which outperforms the buy and hold strategy, but presents instability in its overall results which compromises its practical application in real life investment decisions.

Characterization of the clients retention in the tlecommunications companies

The ability of a company to be able to do a precisely churn prediction, so it can act on it, is paramount. For this reason, Deloitte addressed me the challenge of characterizing the client’s retention in the telecom companies. To do so, it was created a comprehensive tool that enables Deloitte to evaluate the churn management maturity level of a telecom operator and highlight its strengths and weaknesses. The development of this matrix was based on a depth churn research, a market research based on 40 interviews and 2 focus group and the valuable feedback from Deloitte consultants.

Renewable energy system for an isolated micro grid

This paper presents the development of the power electronics needed for the interaction between the electrical generator of a wind turbine and an isolated ac micro grid. In this system there are basically two types of receptors for the energy produced by the wind turbine, which are the loads connected to the isolated micro grid and the batteries used to store energy. There are basically two states in which the system will work. One of the states is when there is enough wind power to supply the loads and the extra energy is used to charge the batteries. The other state is when there is low wind power and the batteries have to compensate the lack of power, so that the isolated micro grid has enough power to supply at least the priority loads. In this paper are presented the hardware and the control algorithm for the developed system. The topology was previously tested in computer simulations, using the software PSIM 9.0, and then validated with the implementation of a laboratory prototype.

Methodology for real-time adaptation of tunnels support using the observational method

The observational method in tunnel engineering allows the evaluation in real time of the actual conditions of the ground and to take measures if its behavior deviates considerably from predictions. However, it lacks a consistent and structured methodology to use the monitoring data to adapt the support system in real time. The definition of limit criteria above which adaptation is required are not defined and complex inverse analysis procedures (Rechea et al. 2008, Levasseur et al. 2010, Zentar et al. 2001, Lecampion et al. 2002, Finno and Calvello 2005, Goh 1999, Cui and Pan 2012, Deng et al. 2010, Mathew and Lehane 2013, Sharifzadeh et al. 2012, 2013) may be needed to consistently analyze the problem. In this paper a methodology for the real time adaptation of the support systems during tunneling is presented. In a first step limit criteria for displacements and stresses are proposed. The methodology uses graphics that are constructed during the project stage based on parametric calculations to assist in the process and when these graphics are not available, since it is not possible to predict every possible scenario, inverse analysis calculations are carried out. The methodology is applied to the “Bois de Peu” tunnel which is composed by two tubes with over 500 m long. High uncertainty levels existed concerning the heterogeneity of the soil and consequently in the geomechanical design parameters. The methodology was applied in four sections and the results focus on two of them. It is shown that the methodology has potential to be applied in real cases contributing for a consistent approach of a real time adaptation of the support system and highlight the importance of the existence of good quality and specific monitoring data to improve the inverse analysis procedure.