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The sensitivity and specificity of IAP to predict subsequent mortality was analysed using a receiver characteristic operating curve.
Combining observed fouling rates with measured particle size distribution and minimizing both parameters indicates a desirable sustainable aeration rate for given wastewater characteristic, operating parameters (i.e. production/backwash flux, recovery) and membrane module geometry.
The method, called the Characteristic Operating Pattern (CHOP) method, is a visually-based aggregation method that clusters reference data based on parameter values rather than time of occurrence, thereby preserving important information on short-term relations between the relevant operating parameters.
The calibration and discrimination of the model was assessed using the Hosmer-Lemeshow goodness-of-fit test and estimating the area under the receiver characteristic operating curve (AUROC).
We found that a model based on a subset of 13 single or compound genetic markers from 11 genes predicted red hair color with over 0.9, black hair color with almost 0.9, as well as blond, and brown hair color with over 0.8 prevalence-adjusted accuracy expressed by the area under the receiver characteristic operating curves (AUC).
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The severity of membrane fouling is determined by the activated sludge characteristics, operating conditions, and membrane characteristics.
This type of information facilitates further investigation of hospital characteristics, operating practices and other attributes.
Appendix "Operating characteristic curve (OCC)" presents the operating characteristic curve (OCC).
ROC: Receiver operating characteristic; AUC: Area under the receiver operating characteristic curve.
ROC = receiver operating characteristic.
Relative Operating Characteristic.
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