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The variable parameters for modeling consisted of a total pressure between 10 25 bar, temperature range of 503 543 K, and space velocity range of 1800 3600.
The input variables for modeling consisted of actual laboratory and field data obtained from an in-service highway US 59 and included the in-situ pavement structure, material properties (i.e., modulus and shear strength), traffic, and climatic (i.e., temperature) data.
After excluding this single outlier, the data sets used for modeling consisted of 253 compounds for the rat and 235 compounds for the mouse.
The inversion modeling consisted of determining the conductance of blocks in the thin sheet (Fig. 1).
The environmental data for niche modeling consisted of 12 raster maps (11 bioclimatic variables and altitude; resolution = 10 km × 10 km per cell) obtained from WorldClim [ 88]).
Initial modeling consisted of using the training data to select genes which were associated with three clinical covariates (gender, tobacco use, and smoking history) to identify gene expression correlates of these clinical variables.
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The analysis based on the sequential logic modeling consists of characteristic equation and simulation analyses.
The Heckman model consisted of two equations.
The evaporation model consisted of three steps.
Specifically, the aforementioned model consisted of two MapReduce procedures.
The model consisted of 696 nodes and 2009 beam elements.
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