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Both figures show the space-to-point display mode in which the respective paths are outlined by dashed boundaries.
The vertical dashed boundaries are a minimum signal-to-noise limit requirement for inclusion in the final score, while the horizontal dashed boundary denotes the border between stained (above) and unstained (below) nuclei.
Thick lines indicate the median and shaded areas with dashed boundaries the 90% confidence intervals of detection times.
Black solid line is a simple linear regression, and grey area with dashed boundaries indicates extrapolation of high and low bounds accounting for 95% of observations (prediction interval).
(B ) The time distribution of cases in which either intervention type fails to control the tumour below the detection threshold after 50 years (thick lines = medians, shaded areas with dashed boundaries = 90% CIs).
(B ) The time distribution of cases in which either intervention type fails to control the tumour below the detection threshold after 50 years (thick line = median, filled area with dashed boundaries = 90% CIs) for different constant treatment intensities.
However in the case of model 8.5 none of the deviations were significant to the 95% level since all points lay within the dashed boundary lines of the confidence interval of the standard normal quantiles (Figure 5A).
end{aligned} The Z-eigenvalue inclusion sets (mathcal{K}(mathcal{A})), (mathcal {L}(mathcal{A})), (Psi(mathcal{A})) and the exact Z-eigenvalues are drawn in Figure 1, where (mathcal{K}(mathcal{A})) and (mathcal{L}(mathcal{A})) are represented by blue dashed boundary, (Psi(mathcal{A})) is represented by red solid boundary and the exact eigenvalues are plotted by '+', respectively.
The three nodes marked with dash-boundaries in the left panel of Figure 4 provide a schematic representation of this pseudo-experiment.
f(M2) is a strictly decreasing curve contained within the unit square U = { 0,0); (1,0); (1,1); (0,1)} (indicated with dashed boundary in Figure 4a), g(M2) is a straight line with a positive slope.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com