1000 resultados para Análise por ativação com nêutrons


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O agachamento afundo possui um posicionamento dos membros inferiores diferencial em relação ao agachamento padrão, necessitando de maiores esclarecimentos acerca das participações dos músculos envolvidos. O objetivo foi analisar a atividade eletromiográfica dos músculos vastus lateralis (VL), vastus medialis (VM), bíceps femoris (BF) e semitendinosus (ST) durante a execução do agachamento afundo até à exaustão com o membro inferior posicionado frontalmente e posteriormente. Participaram do estudo nove mulheres ativas com média (DP) de idade de 22 (3,4) anos e massa corporal 60,3 (4,1) kg. O agachamento afundo foi dividido em duas etapas, diferindo apenas o posicionamento do membro inferior dominante (randomizado). Os sinais eletromiográficos foram captados utilizando um eletromiógrafo e analisados os valores "root mean square" (RMS) na fase concêntrica. Os resultados indicaram um aumento significativo do RMS em função do tempo para o membro inferior posicionado frontalmente e posteriormente (p< 0,001). No membro posicionado frontalmente, o aumento do RMS correspondeu a 50% para o VL, 54% para o VM e 48% para o BF. O membro posicionado posteriormente apresentou um aumento de 75% para o VL, 113% para o VM, 62% para o BF e 48% para o ST. O RMS também foi significativamente maior no músculo VM em relação ao ST no membro inferior posicionado anteriormente (p = 0,03) e em relação ao ST e BF no membro inferior posicionado posteriormente (p = 0,02). Não ocorreu interação significativa entre o efeito do tempo e músculo na atividade eletromiográfica. O RMS normalizado não apresentou diferenças estatisticamente significativas no que se refere ao posicionamento do membro inferior dominante. A atividade muscular foi semelhante em ambos os posicionamentos do membro inferior, apresentando maior aumento de ativação dos músculos VL e VM em relação ao BF e ST.

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A terapia antiagregante é comumente indicada na prevenção e tratamento de doenças cardiovasculares. A dupla antiagregação com clopidrogrel e ácido acetilsalicílico (AAS) tem sido frequentemente adotada em pacientes com Doença Arterial Coronariana (DAC), mas apresenta ineficácia em uma parcela significativa da população com genótipo de respondedores. Essa falha terapêutica nos leva a questionar se outros mecanismos moleculares podem estar influenciando na resposta a esses fármacos. Recentes estudos sugerem que pequenas sequências de RNA não codificantes denominadas microRNAs (miRNAs) podem estar fortemente relacionadas com resposta ao tratamento fármaco-terapêutico, controlando as proteínas envolvidas na farmacocinética e farmacodinâmica. Entretanto, os principais miRNAs que atuam na dinâmica da resposta medicamentosa ainda não foram bem definidos. O objetivo deste estudo foi avaliar o perfil de miRNAs no sangue total periférico, procurando melhor esclarecer os mecanismos envolvidos na resposta aos antiagregantes plaquetários AAS e clopidogrel. Para isso, selecionou-se pacientes com DAC, os quais apresentavam diferentes respostas à dupla terapia de antiagregação determinadas pelo teste de agregação plaquetária. Baseados nos fenótipos, os perfis de expressão de miRNAs foram comparados entre os valores da taxa de agregação categorizados em tercis (T) de resposta. O grupo T1 foi constituído de pacientes respondedores, o T2 de respondedores intermediários e o T3 de não respondedores. Os perfis de miRNAs foram obtidos após sequenciamento de última geração e os dados obtidos foram analisados pelo pacote Deseq2. Os resultados mostraram 18 miRNAs diferentemente expressos entre os dois tercis extremos. Dentre esses miRNAs, 10 deles apresentaram importantes alvos relacionados com vias de ativação e agregação plaquetária quando analisados pelo software Ingenuity®. Dos 10 miRNAs, 4 deles, os quais apresentaram-se menos expressos no sequenciamento, demonstraram os mesmos perfis de expressão quando analisados pela reação em cadeia pela polimerase quantitativa (qPCR): hsa-miR-423-3p, hsa-miR-744-5p, hsa-miR- 30a-5p e hsa-let-7g-5p. A partir das análises de predição de alvos, pôde-se observar que os quatro miRNAs, quando menos expressos simultaneamente, predizem ativação da agregação plaquetária. Além disso, os miRNAs hsa-miR- 423-5p, hsa-miR-744-5p e hsa-let-7g-5p mostraram correlação com o perfil lipídico dos pacientes que, por sua vez, apresentou influência nos valores de agregação compreendidos no T3 de resposta a ambos os medicamentos. Sendo assim, conclui-se que maiores taxas de agregação plaquetária podem estar indiretamente relacionadas com os padrões de expressão de hsa-miR- 423-3p, hsa-miR-744-5p e hsa-let-7g-5p. Sugere-se que a avaliação do perfil de expressão destes 3 miRNAs no sangue periférico de pacientes com DAC possa predizer resposta terapêutica inadequada ao AAS e ao clopidogrel

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INTRODUÇÃO: Líquen plano (LP) é uma doença mucocutânea de natureza inflamatória crônica de etiologia ainda desconhecida. A estimulação da imunidade inata via os receptores Toll-like (TLRs) podem influenciar as células dendríticas e direcionar a resposta de células T CD4+ e CD8+ efetoras, assim como também favorecer o estado inflamatório do LP. OBJETIVOS: Avaliar o perfil fenotípico de células dendríticas mielóides (mDCs) e plasmocitóides (pDCs) e de linfócitos T CD4+ e CD8+ após estímulo com agonistas de TLRs no sangue periférico de pacientes com LP. Além disto, avaliar a frequência, perfil de maturação e os subtipos de células T CD4+ e TCD8+ reguladores. MÉTODOS: Foram selecionados 18 pacientes com LP (15 mulheres, 3 homens), com 41,57 ± 4,73 anos de idade e um grupo controle com 22 indivíduos sadios (18 mulheres, 4 homens), com 43,92 ± 7,83 anos de idade. As células mononucleares (CMNs) de sangue periférico foram avaliadas por citometria de fluxo quanto à: 1) Produção de TNF-? em mDCs e de IFN-? em pDCs em CMNs ativadas por agonistas de TLR 4, 7, 7/8 e 9; 2) Análise de células T CD4+ e CD8+ monofuncionais e polifuncionais após estímulo com agonistas de TLR 4, 7/8, 9 e enterotoxina B de Staphylococcus aureus (SEB); 3) Avaliação de células Th17 e Th22/Tc22 em CMNs após estímulo com SEB; 4) Frequência, perfil de maturação e subtipos de células T CD4+ e CD8+ reguladoras. RESULTADOS: 1) Nos pacientes com LP foi demonstrado um aumento na frequência de mDCs TNF-alfa+ após estímulo com agonistas de TLR4/LPS e TLR7-8/CL097, mas com imiquimode/TLR7 houve diminuição da expressão de CD83. Já nas pDCs do grupo LP, o imiquimode foi capaz de diminuir a expressão de CD80 e o CpG/TLR9 diminuiu a expressão de CD83 no LP. 2) As células T CD4+ secretoras de IL-10 mostraram aumento da frequência nos níveis basais, que diminuiu após estímulo com LPS e SEB. Em contraste, a produção de IFN-y aumentou em resposta ao LPS enquanto diminuiu para CpG. As células T CD4+ polifuncionais, secretoras de 5 citocinas simultâneas (CD4+IL-17+IL-22+TNF+IL-10+IFN-y+) diminuíram no LP após estímulo com CL097 e CpG. Entretanto, na ausência de IL-10, houve aumento da frequência de células CD4+IL-17+IL-22+TNF+IFN-y+ em resposta ao LPS. Um aumento na polifuncionalidade foi observado em células TCD4+ que expressam CD38, marcador de ativação crônica e na ausência de IL-10. Similarmente, às TCD4+, uma diminuição de células T CD8+ IFN-y+ e TNF+ foram detectadas após estímulo com CpG. 3) As células Th22/Tc22 nos níveis basais e após estímulo com SEB se mostraram aumentadas. As células Th17 não mostraram diferenças entre os grupos. 4) A frequência das células T CD4+ e CD8+ reg totais (CD25+Foxp3+CD127low/-) está elevada no LP. Quanto aos perfis de maturação, há aumento na frequência de células TCD4+ de memória efetora enquanto que para as células T CD8+ há predomínio das células de memória central. Quanto aos subtipos, há aumento nas células T CD4+ regs periféricas (pT reg). CONCLUSÕES: O estado de ativação das mDCs após ativação das vias de TLRs 4 e 7/8 pode influenciar na geração de resposta T efetoras no LP. O perfil de resposta monofuncional e polifuncional aos estímulos TLRs reflete a ativação destas células no sangue periférico. Além disso, o aumento de Th22/Tc22 e das células T regs indicam uma relação entre regulação e células efetoras no sangue periférico evidenciando que existem alterações extracutâneas no LP

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The object of this study is the construction of metaphor and metonymy in comics. This work is inserted in the field of Embodied Cognitive Linguistics, specifically based on the Neural Theory of Language (FELDMAN, 2006) and, consistent with this theoretical and methodological framework, the notions of categorization (LAKOFF & JOHNSON, 1999), embodiment (GIBBS, 2005), figurativity (GIBBS, 1994; BERGEN, 2005), and mental simulation (BARSALOU, 1999; FELDMAN, 2006) have also been used. The hypothesis defended is that the construction of figurativity in texts consisting of verbal and nonverbal mechanisms is linked to the activation of neural structures related to our actions and perceptions. Thus, language is considered a cognitive faculty connected to the brain apparatus and to bodily experiences, in such a way that it provides samples of the continuous process of meaning (re)construction performed by the reader, whom (re)defines his or her views about the world as certain neural networks are (or stop being) activated during linguistic processing. The data obtained during the analysys shows that, as regards comics, the act of reading together the graphics and verbal language seems to have an important role in the construction of figurativity, including cases of metaphors which are metonymically motivated. These preliminary conclusions were drawn from the data analysis taken from V de Vingança (MOORE; LLOYD, 2006). The corpus study was guided by the methodology of introspection, i.e., the individual analysis of linguistic aspects as manifested in one's own cognition (TALMY, 2005).

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In this work, the reference drugs, generic and similar to the active ingredients acetylsalicylic acid, paracetamol, captopril, hydrochlorothiazide and mebendazole were purchased from local pharmacies and studied by thermogravimetry (TG) and Differential Scanning Calorimetry (DSC). Thermal decomposition was assessed to obtain from the Ozawa method the activation energy in inert atmosphere (nitrogen), using three different heating ratios (5, 10 and 20 o C min-1). The pharmaceutical formulation of the AAS reference was the one who presented different from the others (generic and similar) Thermogravimetric profile indicating likely interaction between the active ingredient and excipients. Was observed at the heating rate of the inverse temperature that no linearity of the data, ie, there was no correlation between the percentage of mass loss and the activation energy involved in the thermal decomposition of the pharmaceutical formulation of the AAS reference log graph. The analysis by differential scanning calorimetry was performed in nitrogen atmosphere with a heating rate of 10 ° C min-1. In the analysis of these same drugs, the data curves found on the melting point were, except for hydrochlorothiazide, are consistent with the literature. Hydrochlorothiazide presented a melting point well below that found in the literature, which may be justified due to the interaction of the active ingredient with the excipient lactose. In the study of purity, using the Van't Hoff equation, the reference drugs hydrochlorothiazide and mebendazole reference generic and showed similar impurity content below the limit established that this equation must be greater than 2.5 mol%

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The RANK / RANKL / OPG sy stem plays an important role in bone formation and resorption . This finding has been regarded as one of the m ost important advances in the understanding of bone biology with respect to osteoclastogenesis. The aim of this study was to investigate the expression of RANKL / RANK / OPG markers in reimplanted t eeth of rats, and to observe the relationship between the expression of these markers and to oth and bone resorption. Thirty male Wistar rats (Rattus norvegicus albinos) had their maxillary right incisors extrac ted , and were divided into 2 groups according to the period that the extracted teeth were kept in dry air before reimplantation : G1 (n = 15) - 5 minutes , and G2 (n = 15) - 60 minutes . After reimplantation, teeth were analyzed at intervals of 1, 3 and 7 da ys. After these experimental periods, the animals were euthanized. Longitudinal sections with 5μm thick were obtained and stained with Hematoxylin and Eosin for histological analysis , while 3μm thick sections were subjected to immunohistochemical analysis of OPG , RANK and RANKL. The results showed that the RANK / RANKL / OPG system actively participates in both the repair process, as well as tooth and bone resorption . Extr a - alveolar time of 60 minutes before replantation caused minor expressions of RANKL a nd OPG, not influencing the expression of RANK; RANKL immunostaining showed higher in both groups when compared to other biomarkers, participating in all phases of bone and tooth resorption; RANKL was associated to both osteoclastogenesis and c ell ular proliferation , and was expressed in both groups.

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As técnicas nucleares, com ênfase a técnica conhecida como TLA - Thin Layer Activation, tem sido utilizada com sucesso e contribuído significativamente para o estudo de sistemas tribológicos, na análise e medição de desgaste para profundidades na ordem de grandeza de 10 µm apesar potencialmente poder aplicadas a espessuras de dezenas de milímetros. Esta limitação é intrínseca da técnica utilizada na ativação da camada superficial da peça ou elemento a ser investigado, que consiste na aplicação direta de um feixe de partículas carregadas a uma determinada energia, equivalente a máxima seção de choque do material a fim de obter uma taxa ativação constante ao longo de uma determinada espessura ou utilizando uma energia menor que este valor para se obter uma taxa ativação linear também para uma determinada profundidade de ativação. O objetivo desse trabalho é apresentar uma nova técnica que consiste na utilização de um feixe de energia superior a energia correspondente à máxima seção de choque e aplicar um elemento degradador (Roda Degradadora) como objetivo de homogeneizar a ativação superficial ao longo da espessura da amostra, possibilitando uma melhoria na precisão da análise e possibilitando ainda um maior alcance dessa camada e aumentando a gama de aplicações possíveis dessa técnica, onde por exemplo, maiores taxas de desgaste possam ser analisadas. Após o experimento e análise dos dados constatou-se que a técnica proposta melhora a linearidade da curva que representa a taxa de ativação e aumentando significativamente a profundidade analisável podendo chegar a ordem 6 x 10 µm. Em adição este trabalho reinaugura a pesquisa em aplicações nucleares no IEN - Instituto de Engenharia Nuclear com utilização de aceleradores de partículas tipo ciclotron.

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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

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The chemical changes in clay minerals has been widely studied in order to improve its properties for use in various applications. However kaolinite has strong hydrogen bonds between their adjacent layers hindering the process changes in its structure. With the objective to facilitate the process of intercalation monobasic potassium phosphate, bibasic potassium phosphate and potassium acetate we was performed on kaolinite heat treatment at 600 °C and activated acidic with phosphoric acid and 5 to 10 mol L-1. The samples they were characterized by energy dispersive spectroscopy (EDS), X-Ray Diffraction (XRD), Infrared Spectroscopy Fourier Transform (FTIR) and Thermogravimetric Analysis (TG) and Differential Thermal Analysis (DTG) and the superficial and textural changes the samples with heat treatment and acid activation they were characterized by scanning electron microscopy (SEM) and Textural Analysis of Adsorption/desorption N2. With the help of the techniques found that, the heat treatment becomes more susceptible to acid activation kaolinite making the samples with two treatments show larger amounts of phosphorus. It was also found that bibasic potassium phosphate binds more strongly the structure of kaolinite by having a structure with two-coordinating oxygens and intercalation with potassium acetate in acid-activated kaolin increases the interlayer distance of the kaolinite and the intercalation occurs with higher response index (RI) for samples with acid activation to 5 mol /L.

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Tese (doutorado)—Universidade de Brasília, Faculdade de Medicina, Pós-Graduação em Patologia Molecular, 2016.

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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

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Oil wells subjected to cyclic steam injection present important challenges for the development of well cementing systems, mainly due to tensile stresses caused by thermal gradients during its useful life. Cement sheath failures in wells using conventional high compressive strength systems lead to the use of cement systems that are more flexible and/or ductile, with emphasis on Portland cement systems with latex addition. Recent research efforts have presented geopolymeric systems as alternatives. These cementing systems are based on alkaline activation of amorphous aluminosilicates such as metakaolin or fly ash and display advantageous properties such as high compressive strength, fast setting and thermal stability. Basic geopolymeric formulations can be found in the literature, which meet basic oil industry specifications such as rheology, compressive strength and thickening time. In this work, new geopolymeric formulations were developed, based on metakaolin, potassium silicate, potassium hydroxide, silica fume and mineral fiber, using the state of the art in chemical composition, mixture modeling and additivation to optimize the most relevant properties for oil well cementing. Starting from molar ratios considered ideal in the literature (SiO2/Al2O3 = 3.8 e K2O/Al2O3 = 1.0), a study of dry mixtures was performed,based on the compressive packing model, resulting in an optimal volume of 6% for the added solid material. This material (silica fume and mineral fiber) works both as an additional silica source (in the case of silica fume) and as mechanical reinforcement, especially in the case of mineral fiber, which incremented the tensile strength. The first triaxial mechanical study of this class of materials was performed. For comparison, a mechanical study of conventional latex-based cementing systems was also carried out. Regardless of differences in the failure mode (brittle for geopolymers, ductile for latex-based systems), the superior uniaxial compressive strength (37 MPa for the geopolymeric slurry P5 versus 18 MPa for the conventional slurry P2), similar triaxial behavior (friction angle 21° for P5 and P2) and lower stifness (in the elastic region 5.1 GPa for P5 versus 6.8 GPa for P2) of the geopolymeric systems allowed them to withstand a similar amount of mechanical energy (155 kJ/m3 for P5 versus 208 kJ/m3 for P2), noting that geopolymers work in the elastic regime, without the microcracking present in the case of latex-based systems. Therefore, the geopolymers studied on this work must be designed for application in the elastic region to avoid brittle failure. Finally, the tensile strength of geopolymers is originally poor (1.3 MPa for the geopolymeric slurry P3) due to its brittle structure. However, after additivation with mineral fiber, the tensile strength became equivalent to that of latex-based systems (2.3 MPa for P5 and 2.1 MPa for P2). The technical viability of conventional and proposed formulations was evaluated for the whole well life, including stresses due to cyclic steam injection. This analysis was performed using finite element-based simulation software. It was verified that conventional slurries are viable up to 204ºF (400ºC) and geopolymeric slurries are viable above 500ºF (260ºC)

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The cerium oxide has a high potential for use in removing pollutants after combustion, removal of organic matter in waste water and the fuel-cell technology. The nickel oxide is an attractive material due to its excellent chemical stability and their optical properties, electrical and magnetic. In this work, CeO2-NiO- systems on molars reasons 1:1(I), 1:2(II) e 1:3(III) metal-citric acid were synthesized using the Pechini method. We used techniques of TG / DTG and ATD to monitor the degradation process of organic matter to the formation of the oxide. By thermogravimetric analysis and applying the dynamic method proposed by Coats-Redfern, it was possible to study the reactions of thermal decomposition in order to propose the possible mechanism by which the reaction takes place, as well as the determination of kinetic parameters as activation energy, Ea, pre-exponential factor and parameters of activation. It was observed that both variables exert a significant influence on the formation of complex polymeric precursor. The model that best fitted the experimental data in the dynamic mode was R3, which consists of nuclear growth, which formed the nuclei grow to a continuous reaction interface, it proposes a spherical symmetry (order 2 / 3). The values of enthalpy of activation of the system showed that the reaction in the state of transition is exothermic. The variables of composition, together with the variable temperature of calcination were studied by different techniques such as XRD, IV and SEM. Also a study was conducted microstructure by the Rietveld method, the calculation routine was developed to run the package program FullProf Suite, and analyzed by pseudo-Voigt function. It was found that the molar ratio of variable metal-citric acid in the system CeO2-NiO (I), (II), (III) has strong influence on the microstructural properties, size of crystallites and microstrain network, and can be used to control these properties

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Biológicas, Programa de Pós-Graduação em Biologia Molecular, 2016.

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Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciado em Fisioterapia