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The reported model provided the best total sensitivity plus specificity.
The linear transform model provided the highest R2 regression coefficient with the Redlich Peterson model.
The Fritz Schluender model provided the best fit to the data among the three-parameter models.
The sequential choice model provided the most comprehensive and accurate prediction of subjects' preferences.
The Langmuir model provided the best fit to the experimental data among the two-parameter isotherms.
Third, the simulation model provided the daylighting calculations in terms of the slat angles of the movable blind system.
The JCF model provided the best fit and the lowest average absolute relative deviation (AARD) varied from (3.58 to 6.80)%.
The modified Forman model provided the best fit to the FCG rate data as compared with the other two models.
The QSPR model provided the valuable information for the design of better electron donors for propylene polymerization.
The model provided the local information of velocity, pressure and H2 fraction for the driving force analysis.
Among all the candidates, the sill-like tensile crack model provided the best fit (Table 2).
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