949 resultados para Matriz de Markov
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The tissular destruction found in periodontal diseases is caused mainly by components of the host that have its production stimulated by the products of the microorganisms present on the plaque. Matrix Metalloproteinases (MMPs), a class of enzymes involved both in physiologic and pathologic extracellular matrix degradation are considered the main responsible for the characteristic tissular loss in periodontal disease, and the understanding of how this happens can have a series of beneficial implications for prevention, diagnosis and treatment of this illness. The aim of this work was to study the immunohistochemical expression of MMP-1, MMP-2, and MMP-9 in fragments of gingival biopsies with clinical diagnose of periodontal disease. MMP-1 has expressed significantly more than the others MMPs in gingivitis both in the epithelium (p=0,0008) and connective tissue (p=0,0049). In periodontitis, both MMP-1 and MMP-9 has expressed significantly more than MMP-2 in the epithelium (p<0,0001) and in the connective tissue (p=0,0002). MMP-1 and MMP-9 presented more expression in periodontitis than in gingivitis but MMP-1 only in the connective tissue (p=0,03) and MMP-9 in the epithelium (p=0,003) and in the connective tissue (p=0,04). In conclusion, these results indicate that the MMP-1 presents high expression in every stages of the periodontal diseases, and increases its expression in the connective tissue when the gingivitis evolves to periodontitis. Therefore, it may have an important role in connective tissue degradation and bone loss observed in disease, since early, in gingivitis, until late stages, in periodontitis, of the periodontal disease. MMP-9 has expressed more in periodontitis than in gingivitis, both in epithelium and in connective tissue. It means that this enzyme may have some importance in the progression of gingivitis to periodontitis by acting in bone resorption observed in this desease
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The general assumption under which the (X) over bar chart is designed is that the process mean has a constant in-control value. However, there are situations in which the process mean wanders. When it wanders according to a first-order autoregressive (AR (1)) model, a complex approach involving Markov chains and integral equation methods is used to evaluate the properties of the (X) over bar chart. In this paper, we propose the use of a pure Markov chain approach to study the performance of the (X) over bar chart. The performance of the chat (X) over bar with variable parameters and the (X) over bar with double sampling are compared. (C) 2011 Elsevier B.V. All rights reserved.
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Magnetic particles are systems with potential use in drug delivery systems, ferrofluids, and effluent treatment. In many situations, such as in biomedical applications, it is necessary to cover magnetic particles with an organic material, as polymers. In this work, magnetic particles were obtained through covering magnetite particles with poly(methyl methacrylate‐comethacrylic acid) via miniemulsion polymerization process. The resultant materials were characterized X‐ray diffraction (XRD), Fourier Transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), zeta potential () measurements and vibrating sample magnetometry (VSM). XRD results showed magnetite as the predominant cristalline phase in all samples and that cristallites had nanometric dimensions. Thermogravimetric analysis revealed an increase in polymer thermal stability as a result of magnetite encapsulation. TGA results showed also that the encapsulation efficiency was directly related to nanoparticles s hidrofobicity degree. VSM measurements showed that magnetic polymeric particles were superparamagnetic, so that they may be potentially used for magnetic (bio)separation
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The current environmental crisis demands transformations in the relations among society, nature and development, considering sustainability. In this context, an important theme is replacing fossil fuels with biofuels, such as biodiesel. Moringa oleifera Lam. is a species that can be used as a raw material to produce biodiesel. Besides, it is a multiple purposes plant, which can be used also in water treatment. Thus, the aims of this work were to analyze the anatomical adaptations found in the stem and in the leaf and the seed s oil stores of M. oleifera., to investigate chemical characteristics of M. oleifera s seed oil, considering biodiesel production, and to evaluate the coagulation activity of these seeds in water treatment. Semipermanent histological laminas were made and it follows that the stem has thick cuticle, stomata whose cells guard are below the epidermis line, hollow medulla, druses and tector trichomes as adaptations to climate and soil conditions in which the species is found and the leaf is dorsiventral and it has thick cuticle, tector trichomes and druses. The seed has great reserves of oil. These features favor the use of Moringa oleifera Lam. as a raw material to produce biodiesel in Brazil s Northeast semiarid region. Chemical analysis were made through oil solvent extraction using mechanic stirrer. The oil was analyzed in UV spectrophotometer. A transesterification was made and biodiesel was analyzed in gas chromatography. Oil yield was high and good quality biodiesel was obtained. To evaluate seeds coagulantion activity, coagulation and flocculation essays in jartest were made, using seed extract to treat raw water. Seeds were efficient in cogulation process to treat water. So, they can be used in rudimentary systems or as a raw material to coagulant proteins extraction, as an alternative to traditional coagulants. M. oleifera has characteristics that favor its use to biodiesel production and water treatment
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Este trabalho tem como objetivo o estudo do comportamento assintótico da estatística de Pearson (1900), que é o aparato teórico do conhecido teste qui-quadrado ou teste x2 como também é usualmente denotado. Inicialmente estudamos o comportamento da distribuição da estatística qui-quadrado de Pearson (1900) numa amostra {X1, X2,...,Xn} quando n → ∞ e pi = pi0 , 8n. Em seguida detalhamos os argumentos usados em Billingley (1960), os quais demonstram a convergência em distribuição de uma estatística, semelhante a de Pearson, baseada em uma amostra de uma cadeia de Markov, estacionária, ergódica e com espaço de estados finitos S
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In this work we study the Hidden Markov Models with finite as well as general state space. In the finite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. Next, we use the EM algorithm to estimate the model parameters. In the general case, the kernel estimators are used and to built a sequence of estimators that converge in L1-norm to the density function of the observable process
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In this work we studied the consistency for a class of kernel estimates of f f (.) in the Markov chains with general state space E C Rd case. This study is divided into two parts: In the first one f (.) is a stationary density of the chain, and in the second one f (x) v (dx) is the limit distribution of a geometrically ergodic chain
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Os Algoritmos Genético (AG) e o Simulated Annealing (SA) são algoritmos construídos para encontrar máximo ou mínimo de uma função que representa alguma característica do processo que está sendo modelado. Esses algoritmos possuem mecanismos que os fazem escapar de ótimos locais, entretanto, a evolução desses algoritmos no tempo se dá de forma completamente diferente. O SA no seu processo de busca trabalha com apenas um ponto, gerando a partir deste sempre um nova solução que é testada e que pode ser aceita ou não, já o AG trabalha com um conjunto de pontos, chamado população, da qual gera outra população que sempre é aceita. Em comum com esses dois algoritmos temos que a forma como o próximo ponto ou a próxima população é gerada obedece propriedades estocásticas. Nesse trabalho mostramos que a teoria matemática que descreve a evolução destes algoritmos é a teoria das cadeias de Markov. O AG é descrito por uma cadeia de Markov homogênea enquanto que o SA é descrito por uma cadeia de Markov não-homogênea, por fim serão feitos alguns exemplos computacionais comparando o desempenho desses dois algoritmos
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In this work, we present a risk theory application in the following scenario: In each period of time we have a change in the capital of the ensurance company and the outcome of a two-state Markov chain stabilishs if the company pays a benece it heat to one of its policyholders or it receives a Hightimes c > 0 paid by someone buying a new policy. At the end we will determine once again by the recursive equation for expectation the time ruin for this company
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In this work, we studied the strong consistency for a class of estimates for a transition density of a Markov chain with general state space E ⊂ Rd. The strong ergodicity of the estimates for the density transition is obtained from the strong consistency of the kernel estimates for both the marginal density p(:) of the chain and the joint density q(., .). In this work the Markov chain is supposed to be homogeneous, uniformly ergodic and possessing a stationary density p(.,.)
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The central objective of a study Non-Homogeneous Markov Chains is the concept of weak and strong ergodicity. A chain is weak ergodic if the dependence on the initial distribution vanishes with time, and it is strong ergodic if it is weak ergodic and converges in distribution. Most theoretical results on strong ergodicity assume some knowledge of the limit behavior of the stationary distributions. In this work, we collect some general results on weak and strong ergodicity for chains with space enumerable states, and also study the asymptotic behavior of the stationary distributions of a particular type of Markov Chains with finite state space, called Markov Chains with Rare Transitions
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Myofibroblasts are cells that exhibit a hybrid phenotype, sharing the morphological characteristics of fibroblasts and smooth muscle cells, which is acquired during a process called differentiation. These cells then start to express -SMA, a marker that can be used for their identification. Studies suggest that myofibroblasts are related to the aggressiveness of different tumors and that TGF-1 and IFN- play a role in myofibroblast differentiation, stimulating or inhibiting this differentiation, respectively. The objective of this study was to investigate the role of myofibroblasts in epithelial odontogenic tumors, correlating the presence of these cells with the aggressiveness of the tumor. Immunohistochemistry was used to evaluate the expression of TGF-1 and IFN- in myofibroblast differentiation, as well as the expression of MMP-13, which is activated by myofibroblasts, and of EMMPRIN (extracellular matrix metalloproteinase inducer) as a precursor of this MMP. The sample consisted of 20 solid ameloblastomas, 10 unicystic ameloblastomas, 20 odontogenic keratocysts, and 20 adenomatoid odontogenic tumors. For evaluation of myofibroblasts, anti- -SMA-immunoreactive cells were quantified in connective tissue close to the epithelium. Immunoexpression of TGF-1, IFN-, MMP-13 and EMMPRIN was evaluated in the epithelial and connective tissue components, attributing scores of 0 to 4. The results showed a higher concentration of myofibroblasts in solid ameloblastomas (mean of 30.55), followed by odontogenic keratocysts (22.50), unicystic ameloblastomas (20.80), and adenomatoid odontogenic tumors (19.15) (p=0.001). No significant correlation between TGF-1 and IFN- was observed during the process of myofibroblast differentiation. There was also no correlation between the quantity of myofibroblasts and MMP-13 expression. Significant correlations were found between MMP-13 and TGF-1 (r=0.087; p=0.011), between MMP- 13 and IFN- (r=0.348; p=0.003), as well as between EMMPRIN and MMP-13 (r=0.474; p<0.001) and between EMMPRIN and IFN- (r=0.393; p=0.001). The higher quantity of myofibroblasts observed in solid ameloblastomas, odontogenic keratocysts and unicystic ameloblastomas suggests that these cells are one of the factors responsible for the more aggressive biological behavior of these tumors, although the myofibroblast population was not correlated with TGF-1, IFN-, MMP-13 or EMMPRIN. The correlation between MMP- 13 and TGF-1 suggests that the latter induces the expression of this metalloproteinase. The present results also support the well-established role of EMMPRIN as an inducer of MMP-13. Furthermore, the relationship between EMMPRIN and IFN- and between MMP-13 and IFN- suggests synergism in the antifibrotic effect of these markers
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Avaliou-se efeito da idade da matriz sobre as características de desempenho, rendimento de carcaça e partes de frangos de corte, criados até 49 dias de idade. Foram utilizados 3600 pintos de um dia, oriundos de ovos de matrizes da linhagem Ross 308, distribuídos segundo um delineamento experimental inteiramente ao acaso, em esquema fatorial 5×2, com cinco idades de matrizes (29, 41, 58, 68 e 98 semanas) e dois sexos, com quatro repetições de 90 aves cada. Aos 21, 28, 35, 42 e 49 dias de idade, cinco frangos por parcela foram amostrados e abatidos após jejum alimentar de oito horas, para avaliação do rendimento de carcaça e partes. A idade da matriz influenciou (P<0,05) o desempenho das aves na fase inicial de criação (1 a 21 dias); os frangos oriundos de matrizes com 29 semanas de idade apresentaram menor rendimento. A idade da matriz não afetou (P>0,05) o rendimento de carcaça nas idades avaliadas. Os frangos oriundos de matrizes com 29 semanas apresentaram melhor rendimento de peito que aqueles de matrizes com 58 semanas. O sexo influenciou (P<0,05) tanto o desempenho quanto o rendimento de carcaça e partes dos frangos de corte.
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O experimento foi conduzido na Faculdade de Medicina Veterinária e Zootecnia da UNESP, Campus de Botucatu, para avaliar o efeito da idade da matriz no desenvolvimento, rendimento e qualidade da carne de frangos de corte. Ovos de matrizes da linhagen Ross x Ross provenientes de lotes com 29, 41, 58, 68 e 98 semanas de idade foram selecionados e incubados em idênticas condições. Após a eclosão, três mil e seiscentos pintinhos de um dia foram alojados, ao acaso, em um esquema fatorial 5 x 2, ou seja, 5 idades e 2 sexos, e criados até 49 dias de idade. Com 21, 28, 35, 42 e 49 dias de idade, 25 aves de cada tratamento foram selecionadas e abatidas após um período de 8 horas de jejum alimentar. de acordo com resultados obtidos, a idade da matriz afetou (P<0,05) a espessura do filé do peito e o rendimento de carne de peito aos 49 dias de idade, com melhores resultados para frangos originados de matrizes com 29 semanas de idade. O pH do peito e da perna sofreu uma variação bastante acentuada, sendo menor nas aves oriundas de matrizes mais velhas e maior nas aves oriundas de matrizes mais novas. Já a perda de peso por cozimento e a força de cizalhamento não foram afetados pela idade da matriz.