Virulence parameters in the characterization of strains of Entamoeba histolytica

Differences in virulence of strains of Entamoeba histolytica have long been detected by various experimental assays, both in vivo and in vitro. Discrepancies in the strains characterization have been arisen when different biological assays are compared. In order to evaluate different parameters of virulence in the strains characterization, five strains of E. histolytica, kept under axenic culture, were characterized in respect to their, capability to induce hamster liver abscess, erythrophagocytosis rate and cytopathic effect upon VERO cells. It was found significant correlation between in vitro biological assays, but not between in vivo and in vitro assays. Good correlation was found between cytopathic effect and the mean number of uptaken erythrocytes, but not with percentage of phagocytic amoebae, showing that great variability can be observed in the same assay, according to the variable chosen. It was not possible to correlate isoenzyme and restriction fragment pattern with virulence indexes since all studied strains presented pathogenic patterns. The discordant results observed in different virulence assays suggests that virulence itself may not the directly assessed. What is in fact assessed are different biological characteristics or functions of the parasite more than virulence itself. These characteristics or functions may be related or not with pathogenic mechanisms occurring in the development of invasive amoebic disease

Voltage Analysis and Load Curtailment Minimization in Sub-transmission Networks with Distributed Generation

Most of distributed generation and smart grid research works are dedicated to network operation parameters studies, reliability, etc. However, many of these works normally uses traditional test systems, for instance, IEEE test systems. This paper proposes voltage magnitude and reliability studies in presence of fault conditions, considering realistic conditions found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12-bus sub-transmission network.

Desenvolvimento de coagulante/ floculante para tratamento de águas residuais numa indústria de adesivos

Esta dissertação teve como objetivo clarificar a qualidade das águas residuais de uma indústria de fabricação de adesivos. Para esta clarificação optou-se por um tratamento de coagulação/floculação a ser efetuado com a adição de apenas um produto no estado sólido. Para este estudo, selecionou-se substâncias comercialmente disponíveis destacando-se para esta formulação um coagulante, sulfato de alumínio (Al2 (SO4).3H2O, dois adjuvantes, hidróxido de cálcio, Ca(OH)2 (adjuvante H) e Montmorillonite, Al2O3.4SiO2.H2O (adjuvante M) e um floculante, uma poliacrilamida aniónica (C3H5NO)n. O efluente bruto da indústria de adesivos foi caraterizado e verificou-se que dos parâmetros analisados, apenas o pH obedece aos valores limite de emissão para descarga no coletor municipal. Determinaram-se as quantidades ótimas das substâncias selecionadas, a quantidade mínima de produto formulado e foi feita a otimização da composição do produto formulado, para três níveis de pH e duas condições de agitação Numa primeira fase, a realização de ensaios preliminares sobre a quantidade de cada uma das substâncias conduziu aos valores 5 e 30 g de coagulante, 2 e 10 g de adjuvante M; 3 g de adjuvante H e 0,01 g de floculante por 500 mL de efluente. Na otimização da quantidade mínima de produto formulado obteve-se o valor de 5g de produto por 500 mL de efluente. Relativamente à formulação do produto foi definido estudar o efeito da variação das razões, %(m/m), dos adjuvantes (M e H) em função do coagulante, para diferentes valores de pH inicial (6,2; 8,1 e 10) e para duas condições de agitação (A e B), sobre os parâmetros analisados (CQO, SST, turvação, pH final e IVL). Na condição A manteve-se uma agitação de 150 rpm durante 2 minutos, reduzindo-se para 60 rpm durante 15 minutos e, por fim, para 30 rpm durante 5 minutos. Na condição B foi usada uma agitação constante de 90 rpm durante 22 minutos. O estudo do efeito das variações das razões % (m/m) dos adjuvantes M e H foi dividido em três grupos com três subgrupos: 1º grupo - 0,6 a razão mássica adjuvante M/coagulante e 0,4, 1,2 e 2 a razão mássica adjuvante H/ coagulante; 2º grupo - 0,2 a razão mássica adjuvante M/coagulante e 0,1, 0,4 e 0,6 a razão mássica adjuvante H/ coagulante; 3º grupo - 0,1 a razão mássica adjuvante M/coagulante e 0,1, 0,2 e 0,3 a razão mássica adjuvante H/ coagulante. Após este estudo obteve-se para cada condição de agitação (A e B), as razões %(m/m) e o pH inicial mais adequados, com base nos melhores resultados obtidos no efeito sobre a CQO. Para a condição de agitação A o melhor resultado obteve-se para pH inicial igual a 8,1 com a razão mássica de adjuvante M/ coagulante igual a 0,1 e a razão mássica de adjuvante H/coagulante igual a 0,1 (percentagens de remoção de 98,01%, 99,60% e 99,43% para a CQO, SST e turvação, respetivamente). Para a condição de agitação B o melhor resultado obteve-se para pH inicial igual a 8,1 com a razão mássica de adjuvante M/ coagulante igual a 0,1 e a razão mássica de adjuvante H/coagulante igual a 0,1 (percentagens de remoção de 98,67%, 99,77% e 98,40% para a CQO, SST e turvação, respetivamente). Nestas condições é necessário efetuar a correção do pH após o tratamento. Apesar das elevadas percentagens de remoção obtidas, o índice volumétrico de lamas indica fraca qualidade de sedimentação.

Chronic hepatitis C virus infections in Brazilian patients: association with genotypes, clinical parameters and response to long term alpha interferon therapy

The present study assessed the clinical significance of hepatitis C virus (HCV) genotypes and their influence on response to long term recombinant-interferon-alpha (r-IFN-a) therapy in Brazilian patients. One hundred and thirty samples from patients previously genotyped for the HCV and with histologically confirmed chronic hepatitis C (CH-C) were evaluated for clinical and epidemiological parameters (sex, age, time of HCV infection and transmission routes). No difference in disease activity, sex, age or mode and time of transmission were seen among patients infected with HCV types 1, 2 or 3. One hundred and thirteen of them were treated with 3 million units of r-IFN-a, 3 times a week for 12 months. Initial response (IR) was significantly better in patients with genotype 2 (100%) and 3 (46%) infections than in patients with genotype 1 (29%) (p < 0.005). Among subtypes, difference in IR was observed between 1b and 2 (p < 0.005), and between 1b and 3a (p < 0.05). Sustained response (SR) was observed in 12% for (sub)type 1a, 13% for 1b, 19% for 3a, and 40% for type 2; significant differences were found between 1b and 2 (p < 0.001), and between 1b and 3a (p < 0.05). Moreover, presence of cirrhosis was significantly associated with non response and response with relapse (p < 0.05). In conclusion, non-1 HCV genotype and lack of histological diagnosis of cirrhosis were the only baseline features associated with sustained response to treatment. These data indicate that HCV genotyping may have prognostic relevance in the responsiveness to r-IFN-a therapy in Brazilian patients with chronic HCV infection, as seen in other reports worldwide.

Estudo comparativo do comportamento de diferentes ferramentas na fresagem de aços duplex

A maquinagem por arranque de apara é, na actualidade, um dos processos de fabrico mais utilizados e de maior relevo no panorama da indústria metalomecânica mundial. Para além da forte evolução que se tem registado ao longo das últimas décadas nos equipamentos ligados à maquinagem, também as ferramentas têm visto o seu desempenho fortemente melhorado, graças essencialmente ao desenvolvimento de revestimentos finos, mono e multicamada, que têm proporcionado o conjunto de propriedades mais indicado a cada situação. Por outro lado, os aços inoxidáveis duplex têm registado um forte incremento na sua aplicação, a qual requer, em muitos casos, o uso da maquinagem para a obtenção das formas necessárias. Tendo em consideração estes dois factores, o presente trabalho visa, essencialmente avaliar qual a ferramenta mais adequada para trabalhar este tipo de ligas, em função do tipo de maquinagem e condições de corte. Para tal, foram utilizadas diferentes ferramentas dotadas da mesma geometria, e seleccionados parâmetros que constituíssem um denominador comum entre os valores indicados pelos diferentes fabricantes. Foram consideradas apenas condições de maquinagem com utilização de fluido de corte e realizados percursos de corte previamente determinados na fresagem, utilizando fresas de topo em condições de maquinagem de alta velocidade. A análise comparativa recaiu sobre a qualidade da superfície gerada por maquinagem, avaliada através de perfilometria, e o desgaste registado por cada uma das ferramentas utilizadas.

An efficient numerical scheme for solving multi-dimensional fractional optimal control problems with a quadratic performance index

The shifted Legendre orthogonal polynomials are used for the numerical solution of a new formulation for the multi-dimensional fractional optimal control problem (M-DFOCP) with a quadratic performance index. The fractional derivatives are described in the Caputo sense. The Lagrange multiplier method for the constrained extremum and the operational matrix of fractional integrals are used together with the help of the properties of the shifted Legendre orthonormal polynomials. The method reduces the M-DFOCP to a simpler problem that consists of solving a system of algebraic equations. For confirming the efficiency and accuracy of the proposed scheme, some test problems are implemented with their approximate solutions.

Generalized Extraction of Real-Time Parameters for Homogeneous Synchronous Dataflow Graphs

23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2015). 4 to 6, Mar, 2015. Turku, Finland.

Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters

Demo presented in 12th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2015). 8 to 12, Jun, 2015. La Roche-en-Ardenne, Belgium. Extended abstract.

Analysis of Two Arms Working in Cooperation

This paper analyzes the performance of two cooperative robot manipulators. In order to capture the working performancewe formulated several performance indices that measure the manipulability, the effort reduction and the equilibrium between the two robots. In this perspective the proposed indices we determined the optimal values for the system parameters. Furthermore, it is studied the implementation of fractional-order algorithms in the position/force control of two cooperative robotic manipulators holding an object.

A comparison of the immune parameters of dogs infected with visceral leishmaniasis using Western blot and neutralization techniques

The Western blot technique was used to demonstrate the presence of antibodies in the blood of dogs that presented canine visceral leishmaniasis. This technique was used against some specific molecules present in the lysate of the promastigote form of Leshmania chagasi.Through the association of the results of the Western blot technique with the morphological alterations seen as a result of the serum neutralization technique performed in McCoy cells (which mimetizes the macrophage) it was possible to observe the role of some molecules of great relevance in determining the disease in symptomatic dogs as well as that of some other molecules associated with asymptomatic infected dogs that may become transmitters as well as differentiating them as asymptomatic resistant dogs. In the sera analyses carried out during the immunobloting a variation of 9 to 27 immunoreacting bands was observed, which were then compared using Dice's similarity coefficient. In the dendrogram constructed on the basis of the coefficient, 50% similarity was observed among the total number of reagent bands with the promastigote lysate, thus creating five groups. The main difference observed related to the clinical condition of the dogs: symptomatic and asymptomatic dogs were found in separate groups. The asymptomatic group of dogs was distributed in two different places in the dendrogram because they presented two different behavior patterns regarding the cellular morphology in the serum neutralization reaction: the presence or absence of cellular lysis. According to this analysis it is possible to evaluate the immune status and associate it with specific markers observed in the reaction found in the Western blot strips.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.

Influence of human t-cell lymphotropic virus type 1 (HTLV-1) Infection on laboratory parameters of patients with chronic hepatitis C virus

Hepatitis C virus (HCV) and human T-cell lymphotropic virus type 1 (HTLV-1) share routes of transmission and some individuals have dual infection. Although some studies point to a worse prognosis of hepatitis C virus in patients co-infected with HTLV-1, the interaction between these two infections is poorly understood. This study evaluated the influence of HTLV-1 infection on laboratory parameters in chronic HCV patients. Twelve HTLV-1/HCV-coinfected patients were compared to 23 patients infected only with HCV, in regard to demographic data, risk factors for viral acquisition, HCV genotype, presence of cirrhosis, T CD4+ and CD8+ cell counts and liver function tests. There was no difference in regard to age, gender, alcohol consumption, smoking habits, HCV genotype or presence of cirrhosis between the groups. Intravenous drug use was the most common risk factor among individuals co-infected with HTLV-1. These patients showed higher TCD8+ counts (p = 0.0159) and significantly lower median values of AST and ALT (p = 0.0437 and 0.0159, respectively). In conclusion, we have shown that HCV/HTLV-1 co-infected patients differs in laboratorial parameters involving both liver and immunological patterns. The meaning of these interactions in the natural history of these infections is a matter that deserves further studies.