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The validity of these influence parameters is verified by an input variable identification method.
The validity of the influence parameters is verified by the principal component analysis (PCA).
Four types and three volume fractions of steel fiber were considered as the influence parameters.
The influence parameters such as temperature, pH, current and initial nitrate loading were investigated systematically.
The methods are to investigate the influence parameters which are tilt angle of PV array, roof azimuth, and irradiance losses.
We report on the influence parameters including droplet occupancy, valency and selection stringency have on recovery and enrichment.
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The influence parameter required by the density gradient theory was fitted to experimental interfacial tension data.
Table 2 Initialisation parameters for simulation setup Variables Range Population A 0 Population AB 100 Population ZA 1000 5000 Population ZB 0 Population B 4900 8900 Random-threshold 0 1 Internal influence parameter for ideology A 0.0008 0.004 Internal influence parameter for ideology B 0.0008 0.004 Internal influence parameter for ideology AB 0.0008 0.004.
Table 5 Initialisation parameters after introduction of zealots of B Variables Range Population A 0 Population B 3900 8900 Population AB 100 Population ZA 1000 5000 Population ZB 0 1000 Random-threshold 0 1 Internal influence parameter for ideology A 0.0008 0.004 Internal influence parameter for ideology B 0.0008 0.004 Internal influence parameter for ideology AB 0.0008 0.004.
The temperature initial value is an important influence parameter of the global search performance of the simulated annealing algorithm.
One problem in meta-analysis concerns the presence of outlying studies whose results can excessively influence parameter estimates.
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