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The specific design rule derivation is explained for key layers at the front end of line (FEOL), middle of line (MOL), and back end of line (BEOL) of the predictive process modeled.
The explicit pairing forms determined from the AF magnetic models discussed above for five different HTSCs are listed in Table 1 and their detailed derivation is explained in the supplementary information.
The practical solution and some derivations are explained in this paper.
Assumptions inherent in the derivation are carefully explained, as are the resulting limits on the applicability of the results.
These alternative PNEC derivation methods are explained in detail in Belanger et al. (2006) and HERA (2009b) and include (1) using the chronic D. magna QSAR and applying an AF, (2) using the chronic probabilistic QSAR approach, and (3) using a mesocosm-based QSAR.
All other variables are the same as in eq 1. XPS model derivations have been explained in detail in our previous publication.
The derivation of the triangulation from the initial ideal is explained in [[ 51], Chapter 8].
The derivation of (4) can be explained by considering the dynamic degradation (1/C k(ij) ) to be the dynamic degradation of SOC from SOC i to SOC j which equals half the value of the cycle dynamic degradation between SOC i and SOC100% minus that between SOC j and SOC100%.
However, neither the derivation of the relative risk nor the confidence intervals were explained in detail.
As the brief review above makes clear, the main morphological components of the DS can all be explained by the derivation of the affected tissues from neural crest.
As explained in the last paragraph of the theory section, the validity of the derivation is lost when 1 + 2 βy becomes near zero.
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