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Hence, for the current NSM samples, the prediction of the interfacial bond slip relationship of the SS-to-concrete interface begins by considering, once more, the equilibrium of a segment dx, leading to the following equation (Biscaia et al. 2015a, b): tau left( x right) = frac{{phi_{ss} }}{4} cdot frac{{dsigma_{ss} }}{dx} (9 where ϕ ss is the diameter of the stainless steel rod.
For 84% of Duke University samples, the prediction by the 68 probe set ADC/SCC signature was consistent with the reported histology diagnosis.
Because the number of variables (e.g. genes) is often much bigger than the number of samples, the prediction and selection tasks are statistically challenging.
The Bayesian model suggested regression line differs <2 mg/dl from a simple linear regression line in the A1C range of 4 10%, which includes 98.5% of our samples; the prediction intervals widen (P < 0.05) as A1C values increase to 12%, but the difference between the Bayesian and simple linear regression is still <5 mg/dl.
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With 100,000 samples, the predictions by ANN with uniformly distributed noise and Gaussian noise were nearly indistinguishable.
The size of negative sample set was the same as the positive sample; the prediction accuracy in Table 2 was simply the percentage of correct predictions among both positive and negative samples.
Using the density given in equation (5) and MCMC sampling, the prediction of the r is found.
In particular, suppose the expression values for these two genes are E1 and E2 for a sample, the prediction of the class label of this sample depends on whether E1 < E2.
In (11), the right side are the past samples and the prediction coefficients, and the left side represents the predicted values.
Fifty-five Eucalyptus globulus and E. camaldulensis samples were used to create a calibration matrix, while 25 randomly selected samples comprised the prediction set.
In each comparison, we used human data for training prediction methods and assigned the mouse samples to the prediction set.
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