298 research outputs found

    Combined constraints on modified Chaplygin gas model from cosmological observed data: Markov Chain Monte Carlo approach

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    We use the Markov Chain Monte Carlo method to investigate a global constraints on the modified Chaplygin gas (MCG) model as the unification of dark matter and dark energy from the latest observational data: the Union2 dataset of type supernovae Ia (SNIa), the observational Hubble data (OHD), the cluster X-ray gas mass fraction, the baryon acoustic oscillation (BAO), and the cosmic microwave background (CMB) data. In a flat universe, the constraint results for MCG model are, Ωbh2=0.022630.00162+0.00184\Omega_{b}h^{2}=0.02263^{+0.00184}_{-0.00162} (1σ1\sigma) 0.00195+0.00213^{+0.00213}_{-0.00195} (2σ)(2\sigma), Bs=0.77880.0723+0.0736B_{s}=0.7788^{+0.0736}_{-0.0723} (1σ1\sigma) 0.0904+0.0918^{+0.0918}_{-0.0904} (2σ)(2\sigma), α=0.10790.2539+0.3397\alpha=0.1079^{+0.3397}_{-0.2539} (1σ1\sigma) 0.2911+0.4678^{+0.4678}_{-0.2911} (2σ)(2\sigma), B=0.001890.00756+0.00583B=0.00189^{+0.00583}_{-0.00756} (1σ1\sigma) 0.00915+0.00660^{+0.00660}_{-0.00915} (2σ)(2\sigma), and H0=70.7113.142+4.188H_{0}=70.711^{+4.188}_{-3.142} (1σ1\sigma) 4.149+5.281^{+5.281}_{-4.149} (2σ)(2\sigma).Comment: 12 pages, 1figur

    Bayesian Forecasting Of Temporal Gene Expression By Using An Autoregressive Panel Data Approach

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    Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)We propose and evaluate a novel approach for forecasting gene expression over non-observed times in longitudinal trials under a Bayesian viewpoint. One of the aims is to cluster genes that share similar expression patterns over time and then use this similarity to predict relative expression at time points of interest. Expression values of 106 genes expressed during the cell cycle of Saccharomyces cerevisiae were used and genes were partitioned into five distinct clusters of sizes 33, 32, 21, 16, and 4. After removing the last observed time point, the agreements of signals (upregulated or downregulated) considering the predicted expression level were 72.7, 81.3, 76.2, 68.8, and 50.0%, respectively, for each cluster. The percentage of credibility intervals that contained the true values of gene expression for a future time was ~90%. The methodology performed well, providing a valid forecast of gene expression values by fitting an autoregressive panel data model. This approach is easily implemented with other time-series models and when Poisson and negative binomial probability distributions are assumed for the gene expression data. © FUNPEC-RP.152CAPES, Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorCNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico#APQ 00825, FAPEMIG, Fundação de Amparo à Pesquisa do Estado de Minas GeraisFUNARBE, Fundação Arthur BernardesCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

    Bioevaluation of the nutritional status of rice (Oriza sativa L. cv. IAC-165) and bean (Phaseolus vulgaris L. cv. carioca) plants using 15N and 32P

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    Arroz e feijão foram cultivados em soluções nutritivas em presença de três níveis de N, P e K. O método da bioavaliação do estado nutricional em que raízes destacadas absorvem elementos marcados, no caso presente 15N e 32P, foi comparado com o de diagnose foliar. Foram tiradas duas conclusões principais: 1) os bioensaios mostraram ser um procedimento rápido e útil para o diagnóstico do estado nutricional das duas espécies, visto haver correlação significativa negativa entre absorção e produção de matéria seca; 2) a absorção de dois isótopos pelas raízes da planta previamente submetida a níveis diferentes de N e de P na solução foi inversamente proporcional aos teores foliares desses elementos.Rice and bean plants were grown in nutrient solution in the presence of three levels of N, P and K. The method of the bioevaluation of the nutricional status, in which excised roots are allowed to take up tagged elements, in this case 15N and 32P, was compared with foliar analysis. Two main conclusions were drawn: 1) the bioevaluation proved to be an useful and rapid procedure for the diagnosis of the nutricional status of both species, since there was a significant negative correlation between absorption of N and P and dry matter yield; 2) the uptake of the tagged ions with either element by the roots of plants grown under deficient levels of N and P in the nutrient solution was inversely proportional to the leaf concentration of both nutrients

    Predição De Classes De Solo Por Mineração De Dados Em área Da Bacia Sedimentar Do São Francisco

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    The objective of this work was to evaluate different strategies for the prediction of soil class distribution on digital soil maps of areas without reference data, in the sedimentary basin of San Francisco, in the north of the state of Minas Gerais, Brazil. The strategies included: Taxonomic generalization, training by field observations, training set expansion, and the use of different data mining algorithms. Four matrices were developed, differentiated by the volume of data for machine learning and by soil taxonomic levels to be predicted. The performance of the machine learning algorithms-Random Forest, J48, and MLP-, associated with discretization, class balancing, variable selection, and expansion of the training set was evaluated. Class balancing, variable discretization by equal frequencies, and the Random Forest algorithm showed the best performances. The representativeness extension of field observations, that assumes a larger training area, brought no predictive gain. Soil taxonomic generalization to the suborder level reduces the fragmentation of mapped polygons and improves the accuracy of digital soil maps. When generated by training on in situ soil observations at the mapping area, digital soil maps are as accurate as those trained on preexistent maps.5191396140

    On the mechanisms governing gas penetration into a tokamak plasma during a massive gas injection

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    A new 1D radial fluid code, IMAGINE, is used to simulate the penetration of gas into a tokamak plasma during a massive gas injection (MGI). The main result is that the gas is in general strongly braked as it reaches the plasma, due to mechanisms related to charge exchange and (to a smaller extent) recombination. As a result, only a fraction of the gas penetrates into the plasma. Also, a shock wave is created in the gas which propagates away from the plasma, braking and compressing the incoming gas. Simulation results are quantitatively consistent, at least in terms of orders of magnitude, with experimental data for a D 2 MGI into a JET Ohmic plasma. Simulations of MGI into the background plasma surrounding a runaway electron beam show that if the background electron density is too high, the gas may not penetrate, suggesting a possible explanation for the recent results of Reux et al in JET (2015 Nucl. Fusion 55 093013)

    Velocity-space sensitivity of the time-of-flight neutron spectrometer at JET

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    The velocity-space sensitivities of fast-ion diagnostics are often described by so-called weight functions. Recently, we formulated weight functions showing the velocity-space sensitivity of the often dominant beam-target part of neutron energy spectra. These weight functions for neutron emission spectrometry (NES) are independent of the particular NES diagnostic. Here we apply these NES weight functions to the time-of-flight spectrometer TOFOR at JET. By taking the instrumental response function of TOFOR into account, we calculate time-of-flight NES weight functions that enable us to directly determine the velocity-space sensitivity of a given part of a measured time-of-flight spectrum from TOFOR

    Qualidade pós-colheita de frutos de mangueira ("Mangifera indica" L.) var. 'Tommy Atkins' sob sistema orgânico no submédio São Francisco (Brasil)

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    O objetivo do trabalho foi avaliar a qualidade pós - colheita de frutos de mangueira Tommy Atkins, cultivada sob sistema orgânico. Os frutos foram avaliados logo ao chegarem ao laboratório (0) e após armazenamento em câmara fria a 10,5º ± 1 ºC e 85,5º ± 5 % de UR, durante, 14, 28 e 42 dias após a colheita (DAC), sendo que após cada período, foram retirados da câmara fria e mantidos durante quatro dias a 21 ± 1º C e 55-65 % de UR, após o que foram caracterizados física, biológica e químicamente. O delineamento experimental foi em blocos inteiramente ao acaso. As médias foram comparadas pelo teste de Tukey. Os frutos foram avaliados quanto a: perda de água e a aparência, danos mecânicos, coloração da casca, firmeza da polpa, ocorrência de colapso interno, escurecimento de lenticelas, danos por lesões devido ao ataque de Lasiodiplodia, Colletotrichum ou por Alternaria ou por tripes; SST, ATT e o pH da polpa. As mangas estavam aptas para o consumo por volta dos 18 DAC, tempo, mais do que suficiente para se proceder ao transporte do produto até mercados distantes, como o americano e o europeu

    Aspects of the color evolution after the imaginal molt of Pachycoris torridus (Scopoli, 1772) (Hemiptera: Scutelleridae)

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    Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Laboratório de Citogenética e Molecular de Insetos Departamento de Biologia Instituto de Biociências Letras e Ciências Exatas – IBILCE Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, Rua Cristóvão Colombo, 2265, Jardim NazarethLaboratório de Biologia Celular Departamento de Biologia Instituto de Biociências Letras e Ciências Exatas – IBILCE Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, Rua Cristóvão Colombo, 2265, Jardim NazarethLaboratório de Citogenética e Molecular de Insetos Departamento de Biologia Instituto de Biociências Letras e Ciências Exatas – IBILCE Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, Rua Cristóvão Colombo, 2265, Jardim NazarethLaboratório de Biologia Celular Departamento de Biologia Instituto de Biociências Letras e Ciências Exatas – IBILCE Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, Rua Cristóvão Colombo, 2265, Jardim NazarethFAPESP: 2008/09166-0FAPESP: 2010/16080-5FAPESP: 2011/11064-
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