Determinantes envolvidos na resposta imune celular humana à infecção por Leishmania infantum chagasi

Visceral leishmaniasis (VL) is a disease caused by protozoa of the Leishmania donovani complex, whose infection has clinical spectrum ranging from asymptomatic infection to active disease characterized by fever, cachexia, hepatosplenomegaly, and immunosuppression. The healing or protective immunity require an antigen-specific type 1. The Montenegro skin test (DTH) has been interpreted as a marker of protective immunity. However, there is no known correlation between the DTH response to type 1 and DTH and immunity of type 1 are maintained in the long term. Thus, a longitudinal study of 8 years, nested in a cohort family held in Brazil, documented the status of DTH and cytokine production by peripheral blood mononuclear cells in response to antigen-specific stimulation. This study was the interdisciplinary approach of physicians, biochemists, nutritionists, veterinary medicine, biology and statistics. The results show that 46.2% of subjects were analyzed DTH positive at baseline. The prevalence of positive and DTH induration size increased with age (p = 0.0021). 15.7% of individuals positive DTH "retro-converted" the negative and 50.4% (64) of individuals negative DTH became positive. The size of DTH induration was correlated significantly with the antigen-induced production of IFN-γ (r = 0.6186, p = 0.0001). IL-6 was secreted at higher levels in peripheral blood mononuclear cells of individuals who "retro-converted" DTH positive to negative than individuals who remained stable DTH status (p = 0.005). Thus, IFN-γ produced by peripheral blood mononuclear cells, may be a surrogate marker for protective immunity instead of the DTH response. In addition, differences in innate immune response may determine whether individuals maintain or eliminate the infection by Leishmania infantum chagasi in asymptomatic patients

Ação da β-1,3 glucana no sistema imune de camundongos com sepse por Candida albicans

The frequency of disseminated candidiasis caused by yeast has enhancing in intensive care unit. Despite the availability of new antifungal drugs, C. albicans sepsis mortality causes can be as high as 30-40%. So, it has been needed to looking for a new therapeutic medicament that helps in treatment and prevention of this infection. Previous data that demonstrated that particulated β-glucan stimulates the immune system and experiments of this work were conducted to investigating if β-glucan extracted from Saccharomices cerevisiae, could modified the evolution of mouse model C. albicans systemic infection. Balb/c mice with sepsis and β-1,3 glucan treated or not were analyzed the influence of β-1,3 glucan in survival of the animals, in the fungal burdens in kidney, in the production of urea and TNF even in the histopathology of kidney. The experiments shown that the infected animals a nd glucan treated had great survival (p<0,05), less unit form colony in kidney and normal levels of urea. In the kidney histopathology of not glucan treated animals it has seen more lesions when compared with treated animals. So we conclude that β-1,3 glucan could stimulate the immune system against disseminated C. albicans

Implicações técnicas da vacinação na resposta imune contra o vírus da febre aftosa

Na bovinocultura brasileira, a vacinação contra o vírus da Febre Aftosa (FA) é fundamental para a fase inicial de erradicação da enfermidade. Mesmo a qualidade da vacina tendo controle rígido feito pelos órgãos oficiais, restam variáveis técnicas ainda não monitoradas como manipulação, transporte e conservação pelo consumidor, dose, local e forma de aplicação que interferem na resposta imune, preocupações essas, que direcionam o presente estudo. Assim, pela pesquisa de anticorpos neutralizantes do vírus da FA em placas de microtitulação com cultivo de células BHK-21, foram determinados os títulos, calculados em logaritmo decimal (SN), em soros sanguíneos de bovinos vacinados conforme o protocolo apresentado. No primeiro grupo com 25 animais, a média de SN foi igual a 2,37 e 2,19, respectivamente, 30 e 180 dias após a vacinação, cuja vacina foi manejada por especialista com todos os cuidados técnicos recomendados. Outro grupo com 140 bovinos, distribuídos em 5 fazendas distintas, apresentou média de SN igual a 1,66 e 1,5l depois de 30 e 180 dias após a vacinação, cuja vacina foi manejada sem acompanhamento técnico e por indivíduos não especializados. Finalmente um terceiro grupo com 10 animais, que ficaram sem vacinação, apresentou média de SN igual a 0,82 e 0,81, também 30 e 180 dias após a aplicação do placebo. Assim, só os cuidados com a qualidade da vacina são insuficientes para proporcionar títulos satisfatórios que determinam proteção dos rebanhos contra o vírus da FA, uma vez que a literatura pertinente considera rebanhos com 1,52 de média do SN como tendo 50% dos animais protegidos, e com 1,70 como tendo mais de 70% de proteção, no período de até 7 meses.

Os ateliês (auto)formativos na constituição do sujeito docente da educação matemática

The object of study of this thesis is the use of (self)training workshops as a fundamental process for the constitution of the teaching subject in mathematics education. The central purposes of the study were to describe and analyze a learning process of mathematics teachers supported by the training-research methodology, which procedures have been affected with the practice of (self)training workshops as a way of collaborating to the constitution of the teaching subject in Mathematics Education. The survey was conducted with a group of teachers in the city of Nova Cruz, Rio Grande do Norte through a process of continued education realized in the training workshops having as main goal the realization of the group s (self)training sessions in order to lead participants to the extent of their autonomy in their personal and professional transformations. The results obtained in the formative processes have shown the need to develop activities of mathematics teaching as a contribution to overcome the conceptual difficulties of the teachers, apart from their (self)reflections about themselves and the educational processes in which they belong. The results raised some propositions about (self)training workshops that may be incurred in practices to be included in the curriculum frameworks or materialize as a strategy of pedagogical work in training courses for teachers of mathematics. Also, they can constitute an administrative and educational activity to be instituted in the public schools of Basic Education

A auto formação maternal: cenários de uma educação vivencial humanescente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Resposta imune-humoral de búfalos (Bubalus bubalis) contra Anaplasma marginale (Theiler, 1910)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Trajetória de vida de mulheres mastectomizadas integrantes de um grupo de auto ajuda a luz da História Oral

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Uma Aplicação de Redes Neurais Auto-Organizaveis à Reconstrução Tridimensional de Superfícies

We propose a multi-resolution approach for surface reconstruction from clouds of unorganized points representing an object surface in 3D space. The proposed method uses a set of mesh operators and simple rules for selective mesh refinement, with a strategy based on Kohonen s self-organizing map. Basically, a self-adaptive scheme is used for iteratively moving vertices of an initial simple mesh in the direction of the set of points, ideally the object boundary. Successive refinement and motion of vertices are applied leading to a more detailed surface, in a multi-resolution, iterative scheme. Reconstruction was experimented with several point sets, induding different shapes and sizes. Results show generated meshes very dose to object final shapes. We include measures of performance and discuss robustness.

Algoritmos inteligentes para auto-correção, auto-verificação e auto-validação de medidas em sensores

This work presents a set of intelligent algorithms with the purpose of correcting calibration errors in sensors and reducting the periodicity of their calibrations. Such algorithms were designed using Artificial Neural Networks due to its great capacity of learning, adaptation and function approximation. Two approaches willbe shown, the firstone uses Multilayer Perceptron Networks to approximate the many shapes of the calibration curve of a sensor which discalibrates in different time points. This approach requires the knowledge of the sensor s functioning time, but this information is not always available. To overcome this need, another approach using Recurrent Neural Networks was proposed. The Recurrent Neural Networks have a great capacity of learning the dynamics of a system to which it was trained, so they can learn the dynamics of a sensor s discalibration. Knowingthe sensor s functioning time or its discalibration dynamics, it is possible to determine how much a sensor is discalibrated and correct its measured value, providing then, a more exact measurement. The algorithms proposed in this work can be implemented in a Foundation Fieldbus industrial network environment, which has a good capacity of device programming through its function blocks, making it possible to have them applied to the measurement process

Análise de antenas utilizando substrato cerâmico, zpt, produzido por síntese auto propagante para aplicações em sistemas de micro-ondas

Ceramic substrates have been investigated by researchers around the world and has achieved a high interest in the scientific community, because they had high dielectric constants and excellent performance in the structures employed. Such ceramics result in miniaturized structures with dimensions well reduced and high radiation efficiency. In this work, we have used a new ceramic material called lead zinc titanate in the form of Zn0,8Pb0,2TiO3, capable of being used as a dielectric substrate in the construction of various structures of antennas. The method used in constructing the ceramic combustion synthesis was Self- Sustained High Temperature (SHS - "Self-Propagating High-Temperature Synthesis") which is defined as a process that uses highly exothermic reactions to produce various materials. Once initiated the reaction area in the reaction mixture, the heat generated is sufficient to become self-sustaining combustion in the form of a wave that propagates converting the reaction mixture into the product of interest. Were analyzed aspects of the formation of the composite Zn0,8Pb0,2TiO3 by SHS powders and characterized. The analysis consisted of determining the parameters of the reaction for the formation of the composite, as the ignition temperature and reaction mechanisms. The production of composite Zn0,8Pb0,2TiO3 by SHS performed in the laboratory, was the result of a total control of combustion temperature and after obtaining the powder began the development of ceramics. The product was obtained in the form of regular, alternating layers of porous ceramics and was obtained by uniaxial pressing. 10 The product was characterized by analysis of dilatometry, X-ray diffraction analysis and scanning electron microscopy. One of the contributions typically defined in this work is the development of a new dielectric material, nevertheless presented previously in the literature. Therefore, the structures of the antennas presented in this work consisted of new dielectric ceramics based Zn0,8Pb0,2TiO3 usually used as dielectric substrate. The materials produced were characterized in the microwave range. These are dielectrics with high relative permittivity and low loss tangent. The Ansoft HFSS, commercial program employee, using the finite element method, and was used for analysis of antennas studied in this work

Compressão auto-adaptativa de imagens coloridas

Image compress consists in represent by small amount of data, without loss a visual quality. Data compression is important when large images are used, for example satellite image. Full color digital images typically use 24 bits to specify the color of each pixel of the Images with 8 bits for each of the primary components, red, green and blue (RGB). Compress an image with three or more bands (multispectral) is fundamental to reduce the transmission time, process time and record time. Because many applications need images, that compression image data is important: medical image, satellite image, sensor etc. In this work a new compression color images method is proposed. This method is based in measure of information of each band. This technique is called by Self-Adaptive Compression (S.A.C.) and each band of image is compressed with a different threshold, for preserve information with better result. SAC do a large compression in large redundancy bands, that is, lower information and soft compression to bands with bigger amount of information. Two image transforms are used in this technique: Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA). Primary step is convert data to new bands without relationship, with PCA. Later Apply DCT in each band. Data Loss is doing when a threshold discarding any coefficients. This threshold is calculated with two elements: PCA result and a parameter user. Parameters user define a compression tax. The system produce three different thresholds, one to each band of image, that is proportional of amount information. For image reconstruction is realized DCT and PCA inverse. SAC was compared with JPEG (Joint Photographic Experts Group) standard and YIQ compression and better results are obtain, in MSE (Mean Square Root). Tests shown that SAC has better quality in hard compressions. With two advantages: (a) like is adaptive is sensible to image type, that is, presents good results to divers images kinds (synthetic, landscapes, people etc., and, (b) it need only one parameters user, that is, just letter human intervention is required

Estudo avaliativo de um algoritmo genético auto-organizável e multiobjetivo utilizando aprendizado de máquina para aplicações de telecomunicações

This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

Contribuições a técnicas de agrupamento e visualização de dados multivariados utilizando mapas auto-organizáveis

Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, mainly because they constitute a dimensionality reduction technique given the fixed grid of neurons associated with the network. In order to properly the partition and visualize the SOM network, the various methods available in the literature must be applied in a post-processing stage, that consists of inferring, through its neurons, relevant characteristics of the data set. In general, such processing applied to the network neurons, instead of the entire database, reduces the computational costs due to vector quantization. This work proposes a post-processing of the SOM neurons in the input and output spaces, combining visualization techniques with algorithms based on gravitational forces and the search for the shortest path with the greatest reward. Such methods take into account the connection strength between neighbouring neurons and characteristics of pattern density and distances among neurons, both associated with the position that the neurons occupy in the data space after training the network. Thus, the goal consists of defining more clearly the arrangement of the clusters present in the data. Experiments were carried out so as to evaluate the proposed methods using various artificially generated data sets, as well as real world data sets. The results obtained were compared with those from a number of well-known methods existent in the literature

A Construção do processo democrático de auto-avaliação institutucional na UNESP

O desenvolvimento de um processo democrático de avaliação institucional na UNESP, uma universidade multi-campus, envolveu três desafios: garantir o envolvimento de grupos representativos da comunidade no processo de avaliação; atribuir poder e responsabilidade a cada setor acadêmico e administrativo no processo de avaliação; criar uma cultura de auto-avaliação e reflexão que possibilitasse debate crítico e auto-gestão dos projetos acadêmicos. Com base nos termos de referência estabelecidos pela comunidade a CPA desenvolveu uma metodologia de avaliação democrática e investigativa, orientada para a auto-gestão e de natureza quali-quantitativa. Fundamentada em três enfoques teóricos de avaliação, o democrático, o de tomada de decisão e o crítico o processo envolveu três funções: a diagnóstica, a formativo-reflexiva e a de revisão crítica. Atualmente os usos dos resultados da avaliação para orientar políticas e decisões acadêmicas, especialmente nos cursos de graduação, evidenciam avanços no processo de internalização de cultura de avaliação orientada para auto-gestão.

O auto da morte e da vida : a escrita barroca de João Cabral de Melo Neto

This dissertation, entitled O Auto da Morte e da Vida: A escrita barroca de João Cabral de Melo Neto, has the aim of analising, interpreting, in a baroque perspective, Cabral s writing in the poem/play Morte e vida severina Auto de Natal Pernambucano, taking as basis the theories of Eugênio D´Ors, Severo Sarduy, Omar Calabrase, Lezama Lima, Afonso Ávila, Affonso Romano de Sant´Anna and others cited in the body of this work. During the analisys we feature confluences, relations, similarities, identification between the Baroque of the counter reformation and the modern Baroque or Neobaroque. We seek to comprehend the baroque which is new in the XX century and Cabral s poetry as an element of the contemporaneity, by updating the concept of the Baroque in the 1600s, when it is detected in its purest characteristic in human relation (the life of the Northwestern brazilian) through an intangible reality (the death). The Baroque as a cultural summary of a period of instability and transformation, with the power of dismantling an already established poetry. The fight between words and things, language and reality