Sentence examples for main influential parameters from inspiring English sources

The factorial design has shown that deposition time, bath temperature and manganese precursor concentration were the main influential parameters.

Three main influential parameters, namely the prisms' height-to-thickness ratio and the compressive strengths of hollow concrete blocks and mortars, were used as input to the models.

We establish the interaction model between the drill bit and rock at a small cutting depth, and the two main influential parameters (forward and outward rake angles) of LRCB on drilling loads are determined.

The same parameters were also the main influential parameters for the same analysis performed using a higher (€100) or lower total vaccination cost (€50).

Considering that value of the variance coefficient can represent the sensitivity of various factors on reservoir macro-parameters, we can then determine the main influential factors of reservoir macro-parameters.

The influential factors whose variance coefficient is greater than the mean variance coefficient of the same column are picked out and marked by the symbol "*", which denote that the micro-parameters labeled specially are the main influential factors of the reservoir macro-parameter.

To compare the influence degree of different micro-parameters on reservoir macro-parameters and determine the main influential factors, the variance coefficient is selected as the evaluation index, which takes the form of Eqs. 14 and 15.

This chemometrical approach considers main effects as well as interactions of the influential parameters, indicating that temperature and its interaction with NaBPh4 and acetic acid volumes were the variables that significantly affected methylmercury recoveries.

This chemometrical approach considers main effects as well as interactions of the influential parameters, thus conducting a more thorough investigation of the method than the common step-by-step approach.

The goal of this study was to establish a quantitative relationship model between workload and task demand under different tasks, when time pressure was set as the main influential factor to the task demand, with three workload measurement parameters.

Applying response surface methodology (RSM) and Desirability Function (DF), the main influential assembling (dye volume ratio and anti-aggregation agent concentration) and operational (performance temperature) parameters were systematically changed to probe their main and interactive effects on the η and D responses.