Sentence examples for most influencing variables from inspiring English sources

The income quintile ratio and Gini coefficient appeared to be the most influencing variables.

From Table 2, the most influencing variables on the model response were X2 (Molar ratio of D-isoascorbic to palmitic acid) and X4 (ultrasonic power).

The variations in burrow properties and their relation to sediment characteristics were also evaluated to recognize the most influencing variables of sediments that effects on crab burrows.

In this regard, factorial experimental design such as two-level full factorial design matrix is one of the promising statistical tools that navigate the most influencing variables in enzyme bioprocess.

To find most influencing variables for PV power prediction, five different sets of parameters are served as inputs to establish five Artificial Neural Network (ANN) models and Multiple Linear Regression (MLR) Models which is novelty of this paper.

The concentration and pH of MCT β-CD are the most influencing variables for the treated cotton as increase in concentration and pH of MCT β-CD had resulted in an increase in GY%, but TS% was tremendous ranging from low strength loss at low pH values along with some strength improvement at higher concentrations and low pH index, however, at higher pH, the strength had decreased.

Rheological results were modeled using Ostwald-Waelle law and revealed a shear thinning pseudo-plastic solution at any composition and temperature, being chitosan concentration the most influencing variable.

Among different optimization variables, the overhead vapor flowrate appears to be the most influencing variable in the energy requirements, and its value and composition are responsible for the two liquid phase formation in the condensate.

Cycle modelling and sensitivity analysis identified the Turbine Inlet Temperature (TIT) as the most influencing variable on cycle performance, with reference to a heat source gas flow rate of 1.0 kg/s and 650 °C.

Central composite design assisted response surface methodology was employed to find (i) the optimal design of experiments involving several combination of cobalt II -acetate (cobalt II -acetatenganese(II)-aCotate (Mn: 0 700 ppm) and HBr (Br–: 0–1144 ppmanganeseII -acetate II -acetate variable and interaction aMnng the variables.

In addition, it has been proven that, in the range studied, the most influencing process variables are temperature and solid mass flow rate, mainly because both variables modify the gas residence time inside the reactor.