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Results are compared to those from Monte Carlo simulations, showing that significant nonlinear effects are well represented by the second-order stochastic model, predicting correctly the shift in the mean depth and an increase in the depth variance.
From the profile ordinate data read at 1 μm intervals, a number of surface roughness parameters – centre line average, root-mean-square roughness, maximum height, maximum mean peak height, maximum mean depth, and absolute average asperity slope were calculated using a computer program.
Mathematically this idea is described by (Sjöberg, 2009): (1) Sjöberg (2009) presented some solutions to determine A C by dividing it into two parts: a mean depth and fluctuations of the Moho surface around it; see Sjöberg (2009, equation 53b) for the mathematical derivations.
The sds of estimated relatedness initially decline rapidly with increasing mean depth, and then slowly increase.
In the remainder, when no subindex is indicated, we understand that mean depth and other quantities refer to a whole tree or a subtree depending on the context.
For the single round of mapping, a positive relationship between mean depth and distance to ZI was apparent below the 20× mean depth, but for our two-round pipeline distances remained flat even approaching 10× depth.
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Optimal filters are likely to depend on the GBS methods (including differences in their mean depths) and on the species.
Fig. 2 Mean depth magnitude and quality judgments for stimuli with (a) 50 and (b) 200 circles.
The Gaussian functions represent mean depth, amplitude, and spread of slip at each segment.
We considered two variables, the mean depth profile and the acoustic shadow strength cast by prey on the substrate (compare Figure 2; details see below).
Biopsies were collected from the antrum, duodenum, proximal and mid-jejunum (mean depth 167 cm) and, separately, from the right, transverse and left colon, and rectum and were histologically normal.
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