136 resultados para 490


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Introduction: The myofascial pain syndrome (SDM) is one of the most common causes of musculoskeletal pain. One of the possible treatments for SDM is the type of physiotherapy myofascial manipulation. Objective: This study aimed to analyze the effect of manipulative technique with myofascial pain threshold before and after applying the technique in athletes during competition period. Methods: Participated in the study 62 subjects of both genders, aged between 14 and 38 (19.64 + 4.89), who had myofascial pain syndrome, 32 oh the treatment group and 30 divided equally between control group and the placebo group. All were athletes and operated by the Department of Sport and Leisure in the city of Marilia – SP and were in competitive period. The volunteers were evaluated according to their musculoskeletal symptoms to prove the necessity of performing the technique of myofascial manipulation. Confi rmed the need to assess the pressure pain threshold (LDP) using a digital dynamometer. After the measurement, patients underwent treatment or using the technique of myofascial manipulation, or a sliding surface for the placebo or no treatment for the control group followed by the immediate reassessment of the LDP. Results: The results were normalized by Kolmogrov-Smirnov test (KS). Through the ANOVA test found no differences between the initial LDP thresholds between groups. To compare pre and post LDP of the three groups we used the paired t test. Signifi cant difference (p=0.0001) between the values of pain threshold before and after application of myofascial manipulation for the treated group and not signifi cant for the control group (p=0.45) and placebo (p=0.16). Conclusion: We conclude then that the myofascial manipulation technique is able to increase pain threshold after micro-musculoskeletal injuries in athletes in competitive period.

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Sorghum mesocotyls upon mechanical injury with an abrasive (carborundum) or inoculation with the fungi Helminthosporium carbonum (non-pathogen) or Colletotrichum graminicola (pathogen) accumulate a methanol-soluble pigment complex with an absorption maximum around 480-490 nm. Spectral and thin-layer chromatographic analyses showed that the complexes which accumulated either in response to wounding or inoculation are similar. Thus, it is suggested that the accumulation of the pigmented phytoalexins in sorghum mesocotyls is a non-specific response of the tissues towards mechanical injury or fungal infection.

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A disponibilidade de nutrientes é um dos fatores que controla a produção primária dos ecossistemas. O objetivo deste trabalho foi avaliar o efeito da concentração de nitrato (N-NO3) no crescimento da macrófita aquática flutuante Pistia stratiotes. Um experimento com delineamento totalmente casualisado foi realizado em laboratório, consistindo de três réplicas e cinco tratamentos: (1) sem adição de nitrato; (2)196μg.L-1, (3) 490μg.L-1, (4) 980μg.L-1 e (5) 1960μg.L-1. Em intervalos de sete dias, durante 70 dias, foi obtida a massa fresca de P. stratiotes. A massa fresca foi transformada em massa seca, e a esses valores aplicou-se o modelo de crescimento logístico. Também foram analisados o diâmetro de roseta, o número de indivíduos, o volume de raiz, a absorção de N-NO3 e P-PO4 por P. stratiotes e os teores de nitrogênio, fósforo e clorofila a e b da biomassa. Os valores médios de capacidade suporte (K) encontrados foram: (1) 220,9 gMS.m-2; (2) 262,8 gMS.m-2; (3) 288,3 gMS.m-2; (4) 356,9 gMS.m-2; e (5) 394,6 gMS.m-2. Os resultados indicam que a relação entre concentração de nitrato e K é uma hipérbole que apresenta K como valor assintótico. Conclui-se que o aumento da disponibilidade de nitrato promove o aumento no crescimento desta espécie. Conclui-se também que P. stratiotes apresenta consumo de luxúria de nitrogênio e que a maior disponibilidade de nitrogênio promove o aumento do número de indivíduos e do diâmetro da roseta e a diminuição da relação volume de raiz/biomassa do indivíduo.

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Diante da baixa eficácia e elevada toxicidade apresentada pelos fármacos antimoniais e anfotericina B, faz-se premente a pesquisa de novos agentes leishmanicidas. Para tanto, produtos naturais e sintéticos têm sido estudados na busca de novos protótipos antiparasitários. Este trabalho de conclusão de curso teve como objetivo avaliar a potencial ação leishmanicida de substâncias obtidas de Pterogyne nitens contra formas promastigotas de Leishmania Amazonensis e Leishmania chagasi e a ação citotóxica contra macrófagos da linhagem contínua J774. As amostras testadas, cedidas pelo NuBBE (Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais), foram obtidas por meio de técnicas de extração das diferentes partes da planta (flores, folhas e caule). Os ensaios biológicos em promastigotas e macrófagos J774 foram realizados pelo método colorimétrico utilizando-se MTT (Methyl Thiazolyl Blue). A leitura da densidade ótica (DO) foi realizada em espectrofotômetro a 490 nm e os resultados foram obtidos em absorbância. A porcentagem de citotoxidade (%C) foi calculada para determinação da Concentração Inibitória 50% (CI50). Os resultados foram comparados aos fármacos atualmente preconizados como segunda escolha de tratamento pelo Ministério da Saúde (pentamidina e anfotericina B), de acordo com o Manual de Vigilância das Leishmanioses, divulgado no portal do Ministério da Saúde. Os resultados obtidos corroboram o potencial farmacológico notável das substâncias obtidas de P. nitens para o uso terapêutico em doenças negligenciadas, tal como a leishmaniose

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Pós-graduação em Cirurgia Veterinária - FCAV

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In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.

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In this paper we presente a classification system that uses a combination of texture features from stromal regions: Haralick features and Local Binary Patterns (LBP) in wavelet domain. The system has five steps for classification of the tissues. First, the stromal regions were detected and extracted using segmentation techniques based on thresholding and RGB colour space. Second, the Wavelet decomposition was applied in the extracted regions to obtain the Wavelet coefficients. Third, the Haralick and LBP features were extracted from the coefficients. Fourth, relevant features were selected using the ANOVA statistical method. The classication (fifth step) was performed with Radial Basis Function (RBF) networks. The system was tested in 105 prostate images, which were divided into three groups of 35 images: normal, hyperplastic and cancerous. The system performance was evaluated using the area under the ROC curve and resulted in 0.98 for normal versus cancer, 0.95 for hyperplasia versus cancer and 0.96 for normal versus hyperplasia. Our results suggest that texture features can be used as discriminators for stromal tissues prostate images. Furthermore, the system was effective to classify prostate images, specially the hyperplastic class which is the most difficult type in diagnosis and prognosis.

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Estudos Linguísticos - IBILCE

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This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, mainly for the discrimination of natural objects. In fact, these descriptors express the spatial arrangement of pixels inside the texture under different scales and such arrangements are directly related to physical properties inherent to the material depicted in the image. Here, we employ the Bouligand-Minkowski descriptors. These are obtained by the dilation of a surface mapping the gray-level texture. The classification of the microscopy images is performed by the well-known Support Vector Machine (SVM) method and we compare the success rate with other literature texture analysis methods. The proposed method achieved a correctness rate of 89%, while the second best solution, the Co-occurrence descriptors, yielded only 78%. This clear advantage of fractal descriptors demonstrates the potential of such approach in the analysis of the plant microscopy images.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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