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The measured EIS data was simulated by an equivalent circuit.
The data was simulated by taking origin as centre of the x-axis and also results are indicated with respect to pixel co-ordinates.
The data for each recruiter was the log2 ratios from ChIP-chip experiments [30] and missing data was simulated by a Gaussian random function.
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The well-derived geochemical data were simulated by Sequential Gaussian Simulation (SGS) method.
The raw data are simulated by using the model proposed in [29].
The measurement errors of modal data are simulated by superimposing random noise with appropriate magnitudes.
Finally, all data were simulated by the point evaluation and model evaluation for the risk assessment of OTA contamination.
The error in the modal data is simulated by an additive noise that follows the normal distribution.
Since the marker image intensity values are zero, image data were simulated by multiplying an image representing gel volume fractions by the average normalised gel intensity.
The runoff discharge data were simulated by two different modeling approaches, i.e., the NAM model and the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) model.
The measured data are simulated by solving the direct problem, in which a modified zonal method together with the Edwards exponential wide-band model is employed.
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