739 research outputs found
Master Operators Govern Multifractality in Percolation
Using renormalization group methods we study multifractality in percolation
at the instance of noisy random resistor networks. We introduce the concept of
master operators. The multifractal moments of the current distribution (which
are proportional to the noise cumulants of the
resistance between two sites x and located on the same cluster) are
related to such master operators. The scaling behavior of the multifractal
moments is governed exclusively by the master operators, even though a myriad
of servant operators is involved in the renormalization procedure. We calculate
the family of multifractal exponents for the scaling behavior of the
noise cumulants, ,
where is the correlation length exponent for percolation, to two-loop
order.Comment: 6 page
Riding a Spiral Wave: Numerical Simulation of Spiral Waves in a Co-Moving Frame of Reference
We describe an approach to numerical simulation of spiral waves dynamics of
large spatial extent, using small computational grids.Comment: 15 pages, 14 figures, as accepted by Phys Rev E 2010/03/2
Non-perturbative renormalisation using dimensional regularisation: applications to the ε expansion
We give a prescription for the one-loop renormalisation of the imaginary parts of vertex functions in gø4, which are generated when gR \u3c 0 is non-perturbative in ɛ. This fixed point determines the imaginary parts of the critical exponents which are generated when ɛ \u3c 0, and allows us to determine the high-order behaviour of the perturbation series in E for these exponents. The generalisation of these ideas to the O(n) symmetric g(ø2)2 model is also given
Logarithmic Corrections for Spin Glasses, Percolation and Lee-Yang Singularities in Six Dimensions
We study analytically the logarithmic corrections to the critical exponents
of the critical behavior of correlation length, susceptibility and specific
heat for the temperature and the finite-size scaling behavior, for a generic
theory at its upper critical dimension (six). We have also computed
the leading correction to scaling as a function of the lattice size. We
distinguish the obtained formulas to the following special cases: percolation,
Lee-Yang (LY) singularities and -component spin glasses. We have compared
our results for the Ising spin glass case with numerical simulations finding a
very good agreement. Finally, and using the results obtained for the Lee-Yang
singularities in six dimensions, we have computed the logarithmic corrections
to the singular part of the free energy for lattice animals in eight
dimensions.Comment: 18 pages. We have extended the computation to lattice animals in
eight dimensions. To be published in Journal of Physics
Fertilidade do solo em sistemas agroflorestais agroecológicos no Cerrado brasileiro.
Dentre os sistemas produtivos que mais se adéquam a aplicação dos princÃpios agroecológicos estão os sistemas agroflorestais (SAF´s), que apresentam um componente arbóreo ou lenhoso e permitem o cultivo de plantas alimentÃcias ou para produção de energia em suas entrelinhas. O manejo do solo nesses sistemas pode ser feito com o plantio de adubos verdes, especialmente leguminosas, para suprir os nutrientes necessários à s culturas, seja pela fixação biológica de nitrogênio, seja pela reciclagem de nutrientes presentes nas camadas mais profundas do solo. Este trabalho objetivou avaliar a fertilidade de um solo tropical e altamente intemperizado durante seis anos de condução de dois SAF´s, sendo um para segurança alimentar, em que foram cultivados feijão e milho, e outro para produção energética, onde foram cultivados girassol, gergelim e amendoim. Amostras de solo (0-0,20 m) coletadas no primeiro (condição inicial), no terceiro e no sexto anos foram analisadas para atributos quÃmicos. Nos dois SAF´s, as combinações de adubos verdes e culturas principais e os arranjos arbóreos elevaram o teor de matéria orgânica e reduziram a acidez potencial em relação à condição inicial. No entanto, a reciclagem feita pelos adubos verdes não foi suficiente para a manutenção do teor dos macro e micronutrientes do solo, com exceção de Mg e K, demonstrando a necessidade de se associar a adubação verde com a aplicação de fertilizantes orgânicos ou organominerais, de forma a repor nutrientes ao solo, exportados pela colheita dos grãos das diferentes culturas.Congreso SEAE
Machine learning classification of breeding protocol descriptions from Canadian Holsteins.
Dairy farmers are motivated to ensure cows become pregnant in an optimal and timely manner. Although timed artificial insemination (TAI) is a successful management tool in dairy cattle, it masks an animal's innate fertility performance, likely reducing the accuracy of genetic evaluations for fertility traits. Therefore, separating fertility traits based on the recorded management technique involved in the breeding process or adding the breeding protocol as an effect to the model can be viable approaches to address the potential bias caused by such management decisions. Nevertheless, there is a lack of specificity and uniformity in the recording of breeding protocol descriptions by dairy farmers. Therefore, this study investigated the use of 8 supervised machine learning algorithms to classify 1,835 unique breeding protocol descriptions from 981 herds into the following 2 classes: TAI or other than TAI. Our results showed that models that used a stacking classifier algorithm had the highest Matthews correlation coefficient (0.94 ± 0.04, mean ± SD) and maximized precision and recall (F1-score = 0.96 ± 0.03) on test data. Nonetheless, their F1-scores on test data were not different from 5 out of the other 7 algorithms considered. Altogether, results presented herein suggest machine learning algorithms can be used to produce robust models that correctly identify TAI protocols from dairy cattle breeding records, thus opening the opportunity for unbiased genetic evaluation of animals based on their natural fertility
Exchange narrowing of NMR line shapes in randomly diluted magnetic systems
An analysis of 19F NMR linewidths in the randomly diluted magnetic system KMnxMg1-xF3 is presented. It is shown that good agreement with measured linewidths can be obtained if in the usual asymptotic spin-diffusion assumption for the spin autocorrelation function 〈Siα(τ)Siα(0)〉avατ-d(x)/2, d(x) is taken to be independent of x above the percolation concentration. Experimental results in the system KNixMg1-xF3 are also presented. These data exhibit striking differences with the behavior of isostructural KMnxMg1-xF3 whose origin is discussed
Doses de nitrogenio no crescimento e producao inicial do mamoeiro, sob gotejamento, no litoral piauiense.
Com objetivo de avaliar o efeito de doses de nitrogenio no crescimento e producao inicial do mamoeiro irrigado, instalou-se um experimento na estacao experimental da Embrapa Meio-Norte, em Parnaiba, PI, em solo pertencente a Unidade de Mapeamento Areias Quartzosas alicas e distroficas A fraco e moderado fase caatinga litoranea, relevo plano.bitstream/item/83331/1/CT970001.pd
Diluted Networks of Nonlinear Resistors and Fractal Dimensions of Percolation Clusters
We study random networks of nonlinear resistors, which obey a generalized
Ohm's law, . Our renormalized field theory, which thrives on an
interpretation of the involved Feynman Diagrams as being resistor networks
themselves, is presented in detail. By considering distinct values of the
nonlinearity r, we calculate several fractal dimensions characterizing
percolation clusters. For the dimension associated with the red bonds we show
that at least to order {\sl O} (\epsilon^4),
with being the correlation length exponent, and , where d
denotes the spatial dimension. This result agrees with a rigorous one by
Coniglio. Our result for the chemical distance, d_{\scriptsize min} = 2 -
\epsilon /6 - [ 937/588 + 45/49 (\ln 2 -9/10 \ln 3)] (\epsilon /6)^2 + {\sl O}
(\epsilon^3) verifies a previous calculation by one of us. For the backbone
dimension we find D_B = 2 + \epsilon /21 - 172 \epsilon^2 /9261 + 2 (- 74639 +
22680 \zeta (3))\epsilon^3 /4084101 + {\sl O} (\epsilon^4), where , in agreement to second order in with a two-loop
calculation by Harris and Lubensky.Comment: 29 pages, 7 figure
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