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Twelve biophysical explanatory variables; climatic, remote sensing based and landscape variables were employed in modelling.
In a multi-factorial design, the following independent variables were employed: on-product information, enhanced display-control labelling and proximity of controls.
Landscape variables were employed as indices of habitat heterogeneity, fragmentation, and human influence on the environment to characterize constituent units of a 635 km2 grid covering the state of Pennsylvania.
The same predictor variables were employed to construct a prognostic tool for the secondary outcome, 28-day mortality.
Findings were similar for the 2006 2007 transformation event, where 2006 variables were employed as predictors for transformation to CM in 2007 (Table 1).
Three demographic variables were employed as indicators of students' background variables: a. Gender (coded 1 for girls, 2 for boys); b.
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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.
Hybrid deformation variables are employed to derive the equations of motion.
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