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Correlations among these microstructural variables and hardness were determined using multiple regression techniques.
The coefficients of the RS model are determined using multiple regression analysis technique at the 95% level of confidence.
Optimal cutting parameters for each performance measure were obtained; also the relationship between the parameters and the performance measures were determined using multiple linear regression.
The relationship of total, soluble, and insoluble fiber intake with demographic, socioeconomic, and lifestyle characteristics was determined using multiple linear regression models.
As a further study, a comparison of the size effect fracture energy (G f ) as determined using multiple sizes of notched beams along with the results obtained from this study is recommended.
Quantification was determined using multiple reactions monitoring model, and the operating parameters were optimized as follows: drying gas (N2) flow rate, 10.0 L/min; drying gas temperature, 350 °C; nebulizer, 45 psi; capillary, 3500 V; fragmentor voltage, 150 V; sheath gas temperature, 350 °C; sheath gas flow rate, 11 L/min.
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Lung volume and ventilation inhomogeneity were determined using multiple-breath washout (MBW) technique with 4% SF6 as previously described [30].
Energy cost of chewing per minute was determined using a multiple linear regression model, with heat production per 10 min as the dependent variable and duration of activities per 10 min as independent variables.
Detection and recognition thresholds for sweet (sucrose), salty (sodium chloride), sour (citric acid), and bitter (quinine hydrochloride) were determined using the multiple forced-choice ascending concentration series method at baseline (presurgical), discharge, 5 weeks, and 16 weeks post-CABG.
An average ratio with standard deviation was determined using the multiple peptides detected per protein.
Ventilation-perfusion distributions were determined using the multiple inert gas elimination technique (MIGET) [ 27, 28].
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