913 resultados para Weighted by Sum Assured
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The objective of this work was to estimate, by meta-analysis, the heritability (h(2)) and the genetic (r(g)) and phenotypic (r(f)) correlations of residual feed intake (RFI), and of its component traits in beef cattle from 19 breeds or genetic groups. Twenty-two scientific papers published from 1963 to 2011, from eight countries, totaling 52,637 cattle of ages from 28 days up to slaughter, were evaluated. The estimates of RFI, dry matter intake (DMI), average daily gain (ADG) and metabolic weight (BW0.75) were weighted by the inverse of sample variance. The variation between studies of h(2) for each trait was analyzed by weighted least squares. The effects of sex, country and breed were significant for h(2) of RFI, explaining 67% of variation between studies. For DMI, country and breed effects were significant and explained 96% of variation. Pooled estimates of h(2) were: 0.255+/-0.008, 0.278+/-0.012, 0.321+/-0.015, and 0.397+/-0.032 for RFI, DMI, ADG and BW0.75, respectively. Pooled estimates of genetic and phenotypic correlations were low between RFI and ADG and between RFI and BW0.75 (from -0.021+/-0.034 to 0.025+/-0.035), and moderate between RFI and DMI (0.636+/-0.035 and 0.698+/-0.041) and between DMI, ADG and BW0.75 (0.441+/-0.062 to 0.688+/-0.032). The trait RFI has lower heritability estimates than its components.
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The stomach contents of 24 species of fish and unidentified species from four genera in a floodplain lake of the Pantanal were studied. Fish were collected during the dry season when the lake was isolated from the main river. A community food ingestion index (feeding index weighted by consumer biomass, FIWCB, where 0 < FIWCB < 1) was calculated to quantify feeding patterns. Detritus and algae ingested by Curimatidae were responsible for 46.5% of the FIWCB, while that for algae ingested by Loricariidae (armoured catfish) accounted for 13.2%. The importance of detritus in fish diets is discussed as a strategy for shortening food chains, thereby increasing community efficiency, and as a consequence, fish biomass. It was learnt that the main route of energy flow in this perennial lake was through the detritus chain. The floodplain lakes function as a dry season feeding ground for small-sized species of fish, which are potential prey for the more highly valued larger species of fish.
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Includes bibliography
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The objective of this work was to evaluate the magnetic susceptibility efficiency for estimating the support capacity of areas for vinasse application. Two hundred forty-one soil samples were collected from a 380-ha area, on which soil chemical properties, clay content, and magnetic susceptibility were determined. Vinasse requirement was calculated for each sample. Data were subjected to descriptive statistical analysis, and regression models were developed between magnetic susceptibility and the other evaluated attributes. The analysis of data spatial dependence was performed using geostatistics. Kriging maps and cross variograms were built in order to investigate the spatial correlation between soil magnetic susceptibility and studied attributes. Based on the map of vinasse requirement, on the soil classes, and on the kriging map, calculations were done for average vinasse dose and average soil support capacity, weighted by the area. Magnetic susceptibility has significant linear spatial correlation with recommended vinasse doses and soil support capacity for the application of this effluent, and it can be used as a pedotransfer function for indirect quantification of soil support capacity.
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O presente estudo teve como objetivo avaliar a dinâmica do carbono em uma região da Amazônia Oriental, cujo uso da terra predominante é a agricultura familiar; a unidade espacial adotada neste estudo foram três pequenas bacias de drenagem. A dinâmica do carbono foi avaliada a partir de medidas hidrológicas e biogeoquímicas em águas dos igarapés Cumaru, Pachibá e São João entre junho de 2006 a maio de 2007. O ambiente aquático e a hidrogeoquímica fluvial foram caracterizados a partir de medidas in situ da condutividade elétrica, temperatura, pH e concentração de oxigênio dissolvido. Amostras de água foram coletadas e analisadas para determinação do carbono orgânico dissolvido (COD) e pressão parcial do dióxido de carbono (pCO 2 ). A partir dos valores de pCO 2 , foram calculadas as concentrações de carbono inorgânico dissolvido (CID). Já os fluxos de C02 foram medidos in situ e também calculados a partir do pC0 2 . Utilizando-se medidas de vazão instantânea a cada campanha mensal de campo, calcularam-se fluxos anuais de COD. A caracterização dos solos e do uso da terra nas porções estudadas das bacias, assim como os índices pluviométricos e fluviométricos, foram considerados na interpretação dos resultados. Podem-se enumerar como principais resultados o seguinte: 1) As características físico-químicas das águas fluviais das bacias estudadas retrataram seus solos ácidos, a vegetação ripária, e processos hidrológicos biogeoquímicos no ambiente aquático e terrestre, e com certa variabilidade sazonal; 2)0 pH e o oxigênio dissolvido se correlacionaram positivamente com o carbono dissolvido na coluna d'água; 3) O transporte de COD por unidade de área foi elevado quando comparado com outras bacias amazônicas, e mais intenso em períodos chuvosos; 4) O transporte de COD e a evasão de C0 2 pareceram responder positivamente à presença de vegetação secundária e floresta densa, e negativamente às atividades agropecuárias; e 5) As taxas de evasão de C0 2 foram elevadas comparando-as a outros rios amazônicos, e corroboram a hipótese de que pequenas bacias são importante fontes de C0 2 para atmosfera na região.
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Foram simuladas estruturas de dados em modelos mistos representando o teste de 100 reprodutores, sendo cada reprodutor acasalado com 10 matrizes (total de 1000 matrizes), originando em cada acasalamento 2 proles, totalizando 2000 proles (vinte proles por reprodutor). De cada combinação reprodutor e matriz, dez proles tiveram seu fenótipo expresso no ambiente de baixa produção (Estrato 1) e, a outra metade, no ambiente de alta produção (Estrato 2). A simulação foi realizada de forma a representar diferentes situações de presença de heterogeneidade de variâncias, combinando-se as origens da heterogeneidade, de natureza genética e ambiental. Na presença de heterogeneidade residual, o valor estimado para o componente de variância residual, considerando homogeneidade de variâncias se aproximou do valor médio das variâncias entre os estratos. Houve superestimação, também, do componente de variância genético aditivo. Ao simular heterogeneidade de variância de origem genética, observou-se que a estimação desse componente situou-se em valor intermediário aos simulados. Nessa situação, o componente de variância residual estimado foi próximo do valor simulado, indicando que a heterogeneidade de variâncias quando proveniente de fatores genéticos, não interfere, substancialmente, sobre e estimação do componente de variância residual. Na simulação de dados com presença de heterogeneidade tanto de origem genética quanto ambiental (estrutura de dados 4), conduziu a estimação de componentes de variâncias intermediários aos valores simulados em cada estrato. Assim, observa-se que, mesmo quando os reprodutores apresentam proles bem distribuídas em ambos os estratos, a heterogeneidade de variância proveniente de fatores não genético provoca distorções sobre a estimação da variância genética aditiva. Mas por outro lado, quando a heterogeneidade de variância é decorrente de fatores genéticos, não há grande interferência sobre a estimativa da variância residual, tal comportamento pode ser explicado pela incorporação da matriz de parentesco na estimação do componente de variância genético aditivo, possibilitando discriminar melhor a origem da diferenças entre variâncias. Na estrutura onde a variância residual foi heterogênea a estimativa de herdabilidade foi menor em relação à estrutura de homogeneidade de variâncias. Por outro lado, quando somente a variância genética aditiva foi heterogênea, a estimativa de herdabilidade, considerando-se apenas o estrato de alta variabilidade genética, foi inflacionada pela superestimação da variância genética aditiva. No entanto, a estimativa de herdabilidade obtida, desconsiderando essa fonte de heterogeneidade de variância, foi próxima à situação de homogeneidade de variância, indicando que, quando os reprodutores possuem boa distribuição de proles em diferentes ambientes, as estimativas relacionadas ao efeito genético são ponderadas pelo desempenho dos animais em cada ambiente. As correlações de Spearman e de Pearson entre os valores genéticos preditos dos reprodutores, para todas as situações, foram maiores que 0,90. O resultado indica que, mesmo havendo presença de heterogeneidade de variância genética e/ou ambiental, se os reprodutores possuem proles bem distribuídas entre os ambientes (estratos heterogêneos) a classificação do mérito genético não se altera, o que era esperado, pois em análises unicarácter, quando ocorre uma fonte de viés na avaliação genética, ela é comum a todos os indivíduos. Na situação em que foi imposta a estrutura de dados à presença de heterogeneidade de variância residual com número de número desigual de proles por reprodutor nos estratos, provocou superestimação dos componentes de variância. Porém mesmo havendo alteração na magnitude dos valores genéticos preditos para os reprodutores, a heterogeneidade de variância não alterou a classificação entre os reprodutores todas as correlações de ordem foram próximas à unidade. O efeito da heterogeneidade de variância, oriunda de fatores ambientais, ocasiona em maiores distorções sobre a avaliação genética animal, em relação, quando a mesma é proveniente de causas genéticas. A conexidade genética entre diferentes ambientes, dilui o efeito da heterogeneidade de variância, tanto de origem genética, quanto ambiental, na predição de valores genéticos dos reprodutores.
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BACKGROUND: Venous ulcers have a significant impact on patient quality of life, and constitute a worldwide public health problem. Treatment is complex, with high failure rates.OBJECTIVES: To identify clinical and therapeutic factors that influence healing of venous ulcers.METHODS: Retrospective cohort study of patients with venous ulcers. Ulcer area was measured at the first visit (T0) and after 6 months (T6) and 1 year (T12). A reduction in ulcer area of 50% or more at T6 and T12 was the outcome of interest, weighted by clinical, demographic and treatment aspects.RESULTS: Ninety-four patients were included (137 ulcers). A reduction in ulcer area of 50% or more was seen in 40.1% of patients (95% CI 31.9 to 48.4%) at T6 and 49.6% (95% CI 41.2 to 58.1%) at T12. Complete healing occurred in 16.8% (95% CI 10.5 to 23.1%) at T6 and 27% (95% CI 19.5 to 39.5%) at T12. The lowest ulcer area reductions at T6 were associated with longstanding ulcer (RR=0.95; 95% CI 0.91 to 0.98), poor adherence to compression therapy (RR=4.04; 95% CI 1.31 to 12.41), and infection episodes (RR=0.42; 95% CI 0.23 to 0.76). At T12, lower reductions were associated with longstanding ulcer (RR=0.95; 95% CI 0.92 to 0.98), longer topical antibiotic use (RR=0.93; 95% CI 0.87 to 0.99), and systemic antibiotic use (RR=0.63; 95% CI 0.40 to 0.99).CONCLUSIONS: Longstanding ulcer, infection, poor adherence to compression therapy, and longer topical and systemic antibiotic use were independently correlated with worse healing rates.
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This paper aimed to give a contribution to improve water resources management, consists of the analysis of interaction among groundwater and streamflow, by through the analysis of the relationship between basic and total streamflow, based on measured hidrological data from Ribeirão Boa Vista or Córrego Lajeado. watershed. Comparisons among groundwaterflow in this basin with another one in Rio Corumbataí basin were made based on the specific basic flow, in order to verify the possibility of the utilization of measured hydrological data in other basins with similar geological characteristics and soil use and occupation. Based upon the comparisons that were made, specific basic flow does not represent a good tool for extrapolation of measured data, indicating that this comparison shall be weighted by others characteristics as permeability and thickness of geological formations. Finally, it was possible to conclude that basic flow may be considered as an additional parameter for analysis of hydrological and hydrogeological characteristics of a basin and to provide subsidies to release legal licenses for water resources uses. related to surface water as well as for groundwater and may also be used as a tool for consolidation of integrated management of water resources, that is considered as a necessary and essential practice to avoid conflicts between users of water resources in a river basin.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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This paper presents a technique to add flexibility in the control of power electronic converters. The power converter can function as an active power filter, as a local power source interface or perform both functions i. e. mitigate current disturbances and inject power into the grid simultaneously, configuring it as a multifunctional device. The main goal is to extract the full capability of the grid connected power electronic converter to achieve maximum benefits. To achieve this goal, the orthogonal current decomposition of the Conservative Power Theory is used. Each orthogonal current component is weighted by means of different compensation factors (k_i), which are set instantaneously and independently, in any percentage by means of the load performance factors (λ_i), providing an online flexibility in relation to compensation objectives. Finally, to validate the effectiveness and performance the proposed approach, simulations and experimental results are presented.
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Excesses on positron and electron fluxes-measured by ATIC and the PAMELA and Fermi-LAT telescopes-can be explained by dark matter annihilation in the Galaxy, however, it requires large boosts on the dark matter annihilation rate. There are many possible enhancement mechanisms such as the Sommerfeld effect or the existence of dark matter clumps in our halo. If enhancements on the dark matter annihilation cross section are taking place, the dark matter annihilation in the core of the Earth will be enhanced. Here we use recent results from the IceCube 40-string configuration to probe generic enhancement scenarios. We present results as a function of the dark matter-proton interaction cross section, sigma(chi p) weighted by the branching fraction into neutrinos f(nu(nu) over bar) as a function of a generic boost factor B-F, which parametrizes the expected enhancement of the annihilation rate. We find that dark matter models that require annihilation enhancements of O(100) or more and that annihilate significantly into neutrinos are excluded as an explanation for these excesses. We also determine the boost range that can be probed by the full IceCube telescope.
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Most superdiffusive Non-Markovian random walk models assume that correlations are maintained at all time scales, e. g., fractional Brownian motion, Levy walks, the Elephant walk and Alzheimer walk models. In the latter two models the random walker can always "remember" the initial times near t = 0. Assuming jump size distributions with finite variance, the question naturally arises: is superdiffusion possible if the walker is unable to recall the initial times? We give a conclusive answer to this general question, by studying a non-Markovian model in which the walker's memory of the past is weighted by a Gaussian centered at time t/2, at which time the walker had one half the present age, and with a standard deviation sigma t which grows linearly as the walker ages. For large widths we find that the model behaves similarly to the Elephant model, but for small widths this Gaussian memory profile model behaves like the Alzheimer walk model. We also report that the phenomenon of amnestically induced persistence, known to occur in the Alzheimer walk model, arises in the Gaussian memory profile model. We conclude that memory of the initial times is not a necessary condition for generating (log-periodic) superdiffusion. We show that the phenomenon of amnestically induced persistence extends to the case of a Gaussian memory profile.
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The pulmonary crackling and the formation of liquid bridges are problems that for centuries have been attracting the attention of scientists. In order to study these phenomena, it was developed a canonical cubic lattice-gas like model to explain the rupture of liquid bridges in lung airways [A. Alencar et al., 2006, PRE]. Here, we further develop this model and add entropy analysis to study thermodynamic properties, such as free energy and force. The simulations were performed using the Monte Carlo method with Metropolis algorithm. The exchange between gas and liquid particles were performed randomly according to the Kawasaki dynamics and weighted by the Boltzmann factor. Each particle, which can be solid (s), liquid (l) or gas (g), has 26 neighbors: 6 + 12 + 8, with distances 1, √2 and √3, respectively. The energy of a lattice's site m is calculated by the following expression: Em = ∑k=126 Ji(m)j(k) in witch (i, j) = g, l or s. Specifically, it was studied the surface free energy of the liquid bridge, trapped between two planes, when its height is changed. For that, was considered two methods. First, just the internal energy was calculated. Then was considered the entropy. It was fond no difference in the surface free energy between this two methods. We calculate the liquid bridge force between the two planes using the numerical surface free energy. This force is strong for small height, and decreases as the distance between the two planes, height, is increased. The liquid-gas system was also characterized studying the variation of internal energy and heat capacity with the temperature. For that, was performed simulation with the same proportion of liquid and gas particle, but different lattice size. The scale of the liquid-gas system was also studied, for low temperature, using different values to the interaction Jij.
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Recent progress in understanding the molecular basis of autophagy has demonstrated its importance in several areas of human health. Affordable screening techniques with higher sensitivity and specificity to identify autophagy are, however, needed to move the field forward. In fact, only laborious and/or expensive methodologies such as electron microscopy, dye-staining of autophagic vesicles, and LC3-II immunoblotting or immunoassaying are available for autophagy identification. Aiming to fulfill this technical gap, we describe here the association of three widely used assays to determine cell viability - Crystal Violet staining (CVS), 3-[4, 5-dimethylthiaolyl]-2, 5-diphenyl-tetrazolium bromide (MTT) reduction, and neutral red uptake (NRU) - to predict autophagic cell death in vitro. The conceptual framework of the method is the superior uptake of NR in cells engaging in autophagy. NRU was then weighted by the average of MTT reduction and CVS allowing the calculation of autophagic arbitrary units (AAU), a numeric variable that correlated specifically with the autophagic cell death. The proposed strategy is very useful for drug discovery, allowing the investigation of potential autophagic inductor agents through a rapid screening using mammalian cell lines B16-F10, HaCaT, HeLa, MES-SA, and MES-SA/Dx5 in a unique single microplate.
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We present a model of spike-driven synaptic plasticity inspired by experimental observations and motivated by the desire to build an electronic hardware device that can learn to classify complex stimuli in a semisupervised fashion. During training, patterns of activity are sequentially imposed on the input neurons, and an additional instructor signal drives the output neurons toward the desired activity. The network is made of integrate-and-fire neurons with constant leak and a floor. The synapses are bistable, and they are modified by the arrival of presynaptic spikes. The sign of the change is determined by both the depolarization and the state of a variable that integrates the postsynaptic action potentials. Following the training phase, the instructor signal is removed, and the output neurons are driven purely by the activity of the input neurons weighted by the plastic synapses. In the absence of stimulation, the synapses preserve their internal state indefinitely. Memories are also very robust to the disruptive action of spontaneous activity. A network of 2000 input neurons is shown to be able to classify correctly a large number (thousands) of highly overlapping patterns (300 classes of preprocessed Latex characters, 30 patterns per class, and a subset of the NIST characters data set) and to generalize with performances that are better than or comparable to those of artificial neural networks. Finally we show that the synaptic dynamics is compatible with many of the experimental observations on the induction of long-term modifications (spike-timing-dependent plasticity and its dependence on both the postsynaptic depolarization and the frequency of pre- and postsynaptic neurons).