When e s varies from from 3 to 7% and e g varies from 0 to 7%, we test the three algorithms on both the real haplotype data and the simulated haplotype data with n=100 and m=200.
where it is assumed that both π antibonding energy for the t2g level and σ antibonding energy for the e g level vary exponentially with the nearest-neighbor distance R with the same decay distance b.
Using the same parameter values, the actual percentage of variance explained by the G × E interaction varied from 2.1% for Design i,a,e), to 3.5% for Design(i = c).
The resulting multi-harmonic frequency response function models are non-parametric (e.g., vary with amplitude) when linear functions are used and parametric when non-linear functions are used.
In this paper, we discuss seven types of exchangers (A, B, C, D, E, F and G), which vary in inlet nozzle configuration, header height, inlet pipe diameter and tube pass distribution.
Depending on the actual stimulus timing (e.g., trials varied in fore-period duration) and speed of response, the total number of trials varied slightly across subjects in an experiment.
For example, a character may describe how a structure (e.g., supraorbital bone) and its attribute (e.g., shape) vary among taxa (Figure 1); the character states specifying the value of the attribute (e.g., sigmoid).
When there is non-uniformity in the differences between the groups (e.g., differences vary across levels of the attribute), then this is referred to as non-uniform DIF.
There are 2 types of DIF- a) Uniform DIF, where the group shows a consistent systematic difference in their responses to an item, across the whole range of the attribute being measured; b) When there is non-uniformity in the differences between the groups (e.g., it varies across levels of the attribute) then this is referred to as non-uniform DIF [ 31].
One finding of the ESCAPE study was that no significant heterogeneity was found across the PM effect estimates of the 14 cohorts, which was remarkable because the cohorts differed markedly in air pollution exposure (e.g., mean PM2.5 varied between 7 and 33 µg/m) and population characteristics (e.g., age and sex).
