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Fig. 5 P-wave velocity model for line KPr4.
The density model for line OGr1 also incorporated the subducted plate at depths of ∼30 35 km.
In this paper we present an improved model for line and edge detection in cortical area V1.
Next, we tested modifications of the model for line SPr2, seeking one that explained the observed data from both seismic profiles.
To further fine-tune the velocity model, we applied tomographic inversion (Zhang and Toksöz, 1998) to the data from SPr2 using the final modification of the model for line SPr2 as an initial model.
The checkerboard test showed good recovery beneath the Bonin ridge for the final modification of the model for line SPr2, but the eastern edge of the model (520 570 km) was not resolved at depths greater than 10 km.
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Unlike the above profiles, there are notable differences between the previous works and our new model for line-100 (Fig. 1).
The channel matrix between a BS and a user at a distance d is generated according to the path loss model for line-of-sight (LOS) communications as (10^{-{PL}_{text {LOS}}/20}tilde {H}), where P L LOS=103.8+20.9 log10d and each entry of (tilde {H}) is an independent circularly symmetric Gaussian random variable with zero mean and unit variance [41].
Figure 3 Uncertainty model for lines.
Vitamin B-12 was selected in the model for LINE-1 methylation (Table 2) with a nonsignificant negative correlation in males (r = −0.199) and no association in females (r = 0.017) (Fig 2).
The GBLUP model yielded higher prediction accuracies than the other models for line B1 (Table 2).
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