The comparison of optimized results with the experimental results shows that an individual improvement of 75%, 12.67% and 33.70% in bottom kerf deviation, bottom kerf width, and kerf taper has been observed.
The experimentally measured values of different quality characteristics have been used for developing the second order regression models of bottom kerf deviation (KD), bottom kerf width (KW) and kerf taper (KT).
Bottom plot: deviation between the estimated frequency and the actual frequency.
Bottom, mean deviation from veto model, η, vs number of flagella per cell.
Effects summary shows the posterior distributions of the effects of all experimental factors: parental, cross, sex, and age (box centered at the posterior mean, extends one posterior standard deviation away, and bottom and top notches are the minimum and maximum posterior samples, respectively) with their respective PPs on top.
Each box is centered at the posterior mean, extends one posterior standard deviation away, and the bottom and top notches are the minimum and maximum posterior samples, respectively.
Line (top) and matrix (middle) plots of GPS-derived PWV time series; inter-station standard deviation (bottom), every 30 s (solid line) and hourly (crosses).
Line (top) and matrix (middle) plots of GPS-derived PWV time series 26 to 27 July 2010 (in LT); inter-station standard deviation (bottom), every 30 s (solid line) and hourly (crosses).
Line (top) and matrix (middle) plots of GPS-derived PWV time series on 2 August 2010 (in LT); inter-station standard deviation (bottom), every 30 s (solid line) and hourly (crosses).
Figure 13 (bottom) shows negative deviations in WEF values from ideality for L64 + P104/P84 mixtures.
(bottom) Distribution of deviations of instantaneous GPS locations from the straight line.
