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In this work, an iterative approach is applied to identify the effect of specimen thickness on traction separation behavior in the bridging zone.
In addition, analysis of variance (ANOVA) was applied to identify the effect of mixture ratio of SGF and PTFE reinforced PC composites for the ultimate strength, flexural strength and impact resistance.
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Multivariate and binary logistic regression was applied to identify the relative effect of each explanatory variable on the outcome (satisfaction).
Box Behnken design criterion was applied to identify the significant effects of various extraction parameters such as temperature, time, and solvent solid ratio on extraction of tea carbohydrate.
Linear mixed effects models were applied to identify the determinants of airborne benzene concentrations, in particular the proximity to oil and gas facilities.
Sensitivity analysis was applied to both scenarios, in order to identify the effect of changing selected economic parameters to an optimal strategy.
Although current toxicity testing protocols may be applied to identify harmful effects of NPs, research into new methods is required to address the special properties of nanomaterials.
Nanoindentation, nano/microscale and mesoscale wear tests are then applied to the processed surfaces to identify the effects of microstructure on hardness and wear resistance.
In this study, controlled perturbations were applied during the growth process to identify the effects of system parameters such as melt level on the time delay.
We utilize the upward continuation map which is applied to the Bouger anomaly map to identify the effects of the bodies at different depths and dimensions to constrain better the likely fault systems.
Logistic regression was applied to identify variables predictive of BCS.
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