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A full, two-level factorial experimental design with temperature and concentrations of zirconocene dichloride and methylaluminoxane as variables was employed to study the polymerization of ethylene.
A central composite design for the three variables was employed to study the combined effect on decolorization efficiency of distillery wastewater.
Decision tree methodology using easily accessible variables was employed for identifying the edges classified as having a high probability of wind damage.
A numerical example of a shell structural-acoustic system with random and interval variables was employed to verify the effectiveness and precision of the proposed method.
In this work, a composite central design with five levels and four variables was employed to model and optimize the batch flotation kinetic process in a cyclonic microbubble flotation column (FCMC).
A Central Composite Rotatable Design (CCRD) of 32 experiments with immobilized β-glucosidase, thiamin, incubation period, buffer concentration and pH, as five independent variables was employed at five levels.
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Twelve biophysical explanatory variables; climatic, remote sensing based and landscape variables were employed in modelling.
An iterative procedure with successively tighter bounds on the decision variables is employed.
The separation of variables is employed to solve Hamiltonian dual equations of eigenvalue problem.
Vehicle-specific characteristics along with locational variables are employed in the analysis.
Two in-plane stretch variables are employed and approximated to derive the equations of motion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com