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We assumed a power law for the spectrum and develop a new approach for finding the exponent of this power law and estimating the isotropic part of variations in CR intensity using data from the muon detector.
Our sample size calculations for our primary outcome measures (systolic blood pressure, mean blood pressure, diastolic blood pressure, and TPR) assumed a power of 90% and a 1.25% level of significance.
We set two-sided alpha level at 0.05 and assumed a power of 90% to detect differences in the proportion of couples accepting couples' HCT between the intervention and comparison communities.
To capture this in our model we assumed a power function (γ2) based stimulation of EPO mRNA synthesis rate (k syn, EPO mRNA) by HIF1α with first order EPO mRNA degradation rate k deg, EPO.
Our sample size calculations for our three primary outcome measures (radial PWV, femoral PWV, and V o2max) assumed a power of 90% and a 1.66% level of significance (after a Bonferroni correction for multiple comparisons).
In calculating the sample size, we assumed a power of 90% and α value of 5%, in order to detect a difference of 1.6 days with migraine with a standard deviation of 2.8 days; this implies a sample size of 72 per group in a design with three equal groups.
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Le Floc'h et al. (2005) assumed a power-law form for the evolution functions as (23)and obtained and, with α remaining constant.
where the dynamic altruism factor α modulates the contribution of the mean service of all other players to the net utility of player i, γ ¯ − i ( q ¯ ) = 1 N − 1 ∑ j ≠ i γ j ( q ¯ ) ; (2). the utility derived by one's own throughput is modulated by a concave function [4, 7, 35] as modeled here in the form of a logarithm (for tractability); and we have assumed a power-based costeMq.
Guided by previous biological allometric scaling analysis, we have assumed a power-law scaling of the form C∼Aη.
Assuming a power line is built, wind farms will probably appear in the area in the next few years, as they have in western Texas.
A good relationship between them was found assuming a power law (R2 = 0.966).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com