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The most effective variable on local scour depth at pile groups was determined using different sets of input combinations.
The ultrasonic amplitude and adsorbent mass were found to be the most effective variable influencing the adsorption process.
The ultrasonic amplitude was found to be the most effective variable influencing the devulcanization process and mechanical properties.
Response surface analysis revealed that the data were adequately fitted to a second-order polynomial model with R2 0.9665 and the most effective variable was pressure (P ≤ 0.05).
Analysis of the variances for spring-back showed that temperature was the most effective variable in the creep-age forming process.
Results of VIM, assisted by Pearson correlation, demonstrated that Vp is the most effective variable for the prediction of both E and UCS.
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However, the models were implemented for the construction of 3D response surface plots from the ANN and RSM models in order to show the most effective variables as well as the effects of their interaction on the research octane number.
Detailed results of the model are shown in statistical Appendix; paper concluded that the most effective variables that have the major effect on the value of exports of Sub-Saharan Africa to China were (X5) rate of mobile telephone in China (infrastructure variable) and (X7) China FDI to Sub-Saharan Africa because much of China's outward direct investment (ODI) in SSA is closely linked to trade.
Detailed results of the model are shown in statistical Additional file 1, paper concluded that the most effective variables that have the major effect on the value of exports of Egypt to COMESA countries were (X1) Gross Domestic Product in COMESA countries and (X4) which refers to the existence of sharing border between Egypt and COMESA countries.
The most effective variables were found as pressure and co-solvent ratio (p < 0.005).
The most effective variables were co-solvent concentration (P < 0.005) and temperature (P ≤ 0.005).
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