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The effect of oxidant dosages and pH was determined and optimum conditions were determined considering the removal of parameters of interest.
In order to find the best combination of predictors for antibiotic treatment failure, all parameters significant at a p value of ≤ 0.05 in univariate logistic regression analysis were entered into multiple logistic regression (MLR) analysis with backward stepwise removal of parameters in order of insignificance.
Caution is necessary in these comparisons, as the addition or removal of parameters is likely to be accompanied by a change in the underlying non-linear logic of the simulation that can turn sloppy and stiff parameters into their respective opposite.
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In the correlation method, the removal of parameter kb7 occurs in the last iteration and results in a clear increase of the smallest eigenvalue by a factor of about 100 (from 3.3·10-5 to 2.2·10-3, see Figure 1).
PNNs constitute a parameter-parsimonious approach, based on the removal of redundant parameters from fully connected neural networks; LL, on the other hand, is a local linear prediction algorithm, which performs a local learning procedure each time a prediction is required.
It exhibited the maximum removal of all parameters.
Figure 2 shows the influence of anaerobic dosage to the removal of leachate parameters.
First, it reveals that the removal of both parameters increased with increasing coagulant dosage.
It exhibits the maximum removal of all parameters among all composites.
Considering the fairly low removal of studied parameters the need of polishing treatment is felt before leachate is discharged to surface water.
The spatial perceptual features of human auditory system have played important roles in the perceptual redundancy removal of spatial parameters in SAC.
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