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We compare these results to recently reported microfluidic mobilities under non-equilibrium steady state flow and to the predictions of quantitative theoretical models.
When we compared the metrics' predictions of quantitative pesticide use (pounds per square mile) for the same 577 residences, the CPUR metric consistently estimated significantly more pesticide use than did the CDWR metric, and the difference was statistically significant across all residences (p < 0.001).
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Results highlight the benefits of accounting for uncertainties in the precipitation forecasts and the value of the proposed set-up for the short-range prediction of quantitative discharge forecasts.
A series of 2- 2,6-dihalophenyl -3- substituted pyrimidinyl)-1,3-thiazolidin-4-ones were designed on the prediction of quantitative structure–activity relationship (QSAR) studies, synthesized, and evaluated as HIV-1 reverse transcriptase inhibitors.
The observed reversible freezing of the Min oscillations has not been previously observed experimentally, despite being a common prediction of quantitative models.
This paper investigates the use of several kinds of kernels in a kernel ridge regression framework for genome-assisted prediction of quantitative traits.
The sets of interacting SNPs identified in this procedure can then be used in statistical models for genomic-assisted prediction of quantitative traits [ 7, 8, 36- 38].
Artificial neural networks (ANN), also known as neuro-computational models, provide an appealing alternative for genome-enabled prediction of quantitative traits [ 13, 14].
Both Johannes et al. (2009) and Reinders et al. (2009) found that epigenetic variation contributed to a considerable proportion of phenotypic variation, hinting that epigenetic information may help prediction of quantitative traits.
Recently, there has been interest in the use of non-parametric methods for the prediction of quantitative traits, such as reproducing kernel Hilbert space regressions [ 8, 9], radial basis function models [ 10] and non-parametric Bayesian models with Dirichlet process priors [ 11].
The weak UK economy, predictions of more quantitative easing and jitters over Britain's AAA rating have knocked 5% off the value of the pound this year.
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