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Fig. 17 Linear relationship between stopping point and average ridge width.
c gives a comparison of average ridge width with Logarithmic scale for farthest peak in Entropy change.
The last peak at the farthest end represents the largest dominating structure that may be linked tom average ridge width of the fingerprint.
Thus, given dimension of the input fingerprint and an estimate of the average ridge width, a reasonable guess at the computation complexity of the proposed stopping rule can be reached.
In each window, the starting conformation was chosen from the equilibrium simulation, and a cylindrical restraint was applied to ensure sampling around the path based on the average ridge width within the window (Table S1).
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More significant relationships (n = 8 metrics) were observed with SDSE, with the strongest associations for slough density, mean ridge width, and the average length of straight flow, as well as for a suite of hydrologic connectivity metrics (DCI, LFC and landscape discharge competence – LDC).
Based on clinical ridge width dimension measurements, a mean ridge width gain of 1.4 and 2.6 mm were calculated for the test and the control group, respectively.
The mean ridge width after lateral ridge augmentation procedure was 9.7 ± 0.9 mm for the test group and 9.1 ± 0.8 mm for the control group (Table 3).
In the control group (non-exposure), the mean ridge width was 3.4 mm and changed to 6.0 mm (p < 0.01).
Where T is the average inter-ridge width representing the average distance between two parallel neighboring ridges.
A total of 98 onlay block allografts were used in 22 patients with an initial mean alveolar ridge width of 3.41 ± 1.36 mm.
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