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Results for the 3D predictor were compared with a 2D model.
Adjusted odds ratios (AOR) and the 95%% confidence intervals associated with each predictor were obtained based on the model parameter estimates.
Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively.
Two EHD based controllers; PI controller and a Smith predictor were established using LabVIEW and compared in terms of their response time and regulation behaviour subject to dynamic loading.
Further attempts of designing VQA systems based on a single ML predictor were made, e.g., by Liu et al. [17], who used a feedforward neural network to predict the mean opinion scores (MOS) of images distorted with JPEG compression and blur.
Tumor stage and the 17 probe set prognostic predictor were significantly related to the hazard of death.
The scores of each predictor were normalized to the 0-1 interval with the higher scores representing CXCR4-capable sequences.
bItems with no significant predictor were omitted.
If the relationship was found to be nonlinear, then squared terms for each predictor were introduced.
Therefore, we can be fairly sure that criterion and predictor were not confounded.
The respective values for the dichotomous predictor were AIC=318.1 and AUC=0.594.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com