Reported values of variables were then 'normalized', i.e., for each flood footprint the reported value of losses were multiplied by the change in exposure between year of event and 2011 baseline.
Actual values of variables are abstracted into security levels, and bytecode instructions are executed over an abstract domain.
Response surfaces were then plotted to identify the behavior of current efficiency and power consumption when the values of variables dimensionless were changed.
At optimum conditions values of variables set as pH 6.0, 1.5 mL ACN, 140 μL CCl4, 1.0 min extraction time and 3.0 min centrifugation at 4500 rpm.
Values of variables in the ghost cells are found by using a constrained moving least squares method (CMLS) that eliminates numerical instabilities encountered in the conventional MLS formulation.
In addition, the statistical model enables to determine the response surface in order to predict the variation in response when the values of variables are modified.
The optimum values of variables obtained for maximum laccase stabilization at higher temperature are pectin, 0.31%, carrageenan, 0.3% and pH, 4.4 with predicted percentage residual activity of 93.77%.
In the first stage, sensorial data are preprocessed or transformed into high level and meaningful values of variables which are usually defined from expert knowledge.
The load forecast is constructed from the forecasted output pattern and the current values of variables describing the load time series.
Existing data analytic techniques are mostly based on building the same one model of variable relations over the full ranges of all variable values, although relations of variables may exist only for certain values of variables or different relations exist for different values of variables.
Obviously, for higher values of variables, such range is greater.
