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In what follows, we shall assume familiarity with the above axioms and rules as we derive Frege's Theorem.
A virtue of our approach is that we do not need to follow the detailed time evolution of the whole system, as we derive the relevant properties of its steady state without having to take into account the often extremely complicated transient features.
As we derive our measure of technical change from both sector-specific and individual data, looking within each sector means that the variation of our measure is due exclusively to individual characteristics, that is, the timing of entry and exit from the labor market.
Some more details regarding similarities and differences are pointed out as we derive our results below.
As we derive in Additional file 1: Appendix S1, the model predicts that the pan genome size increases logarithmically with sample size, and that the core genome size decreases as a power law (with exponent - θ).
However, as we derive below, the variance of eigenvalues depends both on experimental sample size and effective population size, and so these parameters affect the sampling variance of heritability.
Similar(53)
In principle, a decrease of the interaction parameters with increasing temperature, as we derived it for the values from the Becker model, seems very plausible, as it reflects a decrease of structural strain with increasing molecular motion.
This would be expected, as we derived particle surface area concentrations from particle number concentrations.
As we derived m ˜ e under the assumption of QLE, convergence of m e (P ) to m ˜ e is reassuring.
As we derived in Equation (20), the dynamic range of CheY-P depends on Y tot, which sets the asymptotic value of CheY-P.
If we make the measurement  minus the same ( G → + D → off ) as before, we derive a wrong M → est, as shown in Figure 6d.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com