Sentence examples for using a linear equation from inspiring English sources

All turbidity values were converted to TSM concentrations using a linear equation.

Trend of the surface tension values in the bioreactor was fitted using a linear equation.

Furthermore, normalized cross correlation (NCC), being robust with intensity offsets and contrast changes, is used for stereo matching of the coded images to generate the reconstruction results using a linear equation method.

For multiple linear regression analysis when there is more than one independent variable (as in this study), the regression line cannot be visualized in the two dimensional space, but can be computed using a linear equation containing all those variables.

The initial rate of signal enhancement (vo) was approximated by using a linear equation (F/Fo = vot+1.0; F/Fo = 1.0 at t = 0 min) to fit the F/Fo vs. time data, which were collected during the first ∼10 min (for ATP sensor) or ∼3 min (for ADP sensor) once DNAzyme was added to the reaction mixture.

The system's response curve was fitted using a linear equation of the form MPV = a + b · X, where a and b are adjustable coefficients and X represents the entrance air Kerma at the detector surface plane.

The authors used a linear equation following (6) where the extrapolated line is not forced to go through the origin.

The algorithm assumes a bulk-insoluble, nonionic surfactant, and uses a linear equation of state to model the relationship between the interfacial tension and the surfactant concentration on the drop surface.

Res., 35 853–870.] have proposed a single test, based on the relationship between the curvature and gradient of a hillslope, rather then using a linear diffusion equation.

Using a linear transport equation based on the diffusion of water and the electroosmotic drag, analytical solutions for water concentration profiles in the membrane are obtained from which membrane resistance overvoltage and other characteristic values are calculated.

As can be seen in Table 5, the analysis of the data using a linear regression equation revealed that the combined predictors explained 64.4% of the variance in the length of the sentence, R2 =.644, adjusted R2 =.631, F (4, 106) = 49.93, p < .0001.0001