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Method 1 involves the generation of maps of fractional impervious surface for direct computation of catchment-level imperviousness.
Diffusion information was used to normalize co-registered maps of fractional anisotropy (FA) and magnetization transfer ratio (MTR) to a study-specific template, using the multi-channel daemon algorithm, designed specifically to deal with multidirectional tensor information.
We found that there were differences in the maps of fractional ventilation and its associated frequency distribution between the healthy and emphysematous rat lungs.
Subsequently, maps of fractional anisotropy (FA) were worked out for each subject using the function FDT (FMRIB's Diffusion Toolbox) package, with the diffusion tensor being obtained for each voxel.
The tensor was decomposed to create maps of fractional anisotropy and mean diffusivity.
Diffusion tensors were linearly fitted using FSL 'dtifit', giving output maps of fractional anisotropy and mean diffusivity.
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The map of retrieved fractional shrub cover was an approximate spatial match to the reference map.
a Map of the fractional increase in thermal and electrical conductivities as a function of current density and temperature.
Thus, maps for fractional anisotropy (FA), axial diffusivity (AD = λ1), and radial diffusivity (RD = λ22 + λ3/2) could be generated to increase interpretability of our findings.
Wu et al. [22] also proposed a fractional logistic map and Lorenz maps of Riemann-Liouville type and designed chaos synchronization of fractional chaotic maps according to the stability results.
In addition, Wu et al. [28] proposed the fractional logistic map and fractional Lorenz maps of Riemann-Liouville type and the feedback control method was extended to discrete fractional equations.
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