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References in periodicals archive ?
Table 3 presents the parameters, coefficients of determination and mean square deviations of the models Approximation of Diffusion, Two Terms, Henderson & Pabis and Page fitted to the experimental drying data of yacon cylinders, at air speed of 1.5 m [s.sup.-1] and drying air temperatures of 50, 60 and 70 [degrees]C.
Finally, after 12 seconds of calculation, the mean square deviation is reduced to 32.2 m and there is still enough time for the command and control system to initiate all necessary steps, for example, warning and defending.
Absorbance Drug Concentration Sample number ([micro]g/mg) 1 2 3 4 5 CPM 8 0.345 0.346 0.340 0.335 0.332 MTZ 5 0.646 0.649 0.655 0.640 0.634 CFZ 5 0.579 0.570 0.583 0.567 0.586 SBT 8 0.365 0.373 0.360 0.354 0.357 Drug Mean RMSD (a) CV (RMSD) (b) (%) CPM 0.340 0.0061 1.79 MTZ 0.645 0.0081 1.26 CFZ 0.577 0.0082 1.42 SBT 0.362 0.0074 2.06 (a) RMSD: root mean square deviation. (b) CV (RMSD): coefficient of variation (root mean square deviation).
This 3D surface also shows behavior of the mathematical model of concentration ellipsoid with mean square deviation of 0.0375 mm on a [pi]/3 arc.
In which: MSD = mean square deviation between predicted and observed values; SB = squared bias; SDSD= squared difference between standard deviations; LCS= lack of correlation weighted by standard deviations; [x.sub.i] = i-th predicted value; [y.sub.i] = i i i-th observed value; [bar.X] = mean of the predicted values; [bar.Y] = mean of the observed values; [S.sub.x] and [S.sub.y] = standard errors for the predicted and observed values, respectively; and r= Pearson correlation coefficients between predicted and observed values.
Sci (core fluid retentio): is ratio of void volume of unit sampling area at core zone over the root mean square deviation. These values indicate fluid retention in blood vessels.
In such a case it is reasonably to set inaccuracy e in its fractions of mean square deviation. Calculation formula is converted and is as follows:
Root mean square deviation (RMSD) showed the deviation from the starting structure of each ligand or complex to the end of MD.
The root mean square deviation of the surface ([S.sub.q] or RMS), defined as the root mean squared value of the surface departures within the sampling area, is given by:
The experiment results showed that the modeling accuracy of the recursive least squares algorithm could reach 0.24%, the mean square deviation of the error is 0.0263; the modeling accuracy of the gradient correction algorithm could reach 0.11%, the mean square deviation of the error is 0.0222.
with the mean square deviation [S.sub.r] = 0.055 mm (n = 30) and coefficient of determination [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], showing that the variation of compressibility of lightweight composite is by 99.4% preconditioned by change in its density.
However, if we consider a main beam to be a pencil beam then the "Mean Square Deviation in the Main Beam" term is excluded because it is a natural shape for the main beam, not a customized shape.