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For both mutation probability functions, we examined three different coefficients such that the maximum mutation probabilities were 0.01, 0.05, and 0.1, respectively.
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Thus, results of backward extrusion force versus punch motion with five different coefficients of friction and five different wall thicknesses were obtained.
The performance is quantified using two different coefficients of performance (COP) definitions: performance of THP only (COPHP) and performance of THP coupled to an energy-efficient building (COPu).
The simulated test results were statistically evaluated against the given distributions with a target mean and two different coefficients of variation of fatigue limits (COV (SFL)).
A more complex approach is taken by TARN; their Ps04 and Ps12 survival prediction models incorporate age effects by applying eight different coefficients according to age group and an additional eight coefficients for interaction effects between age and gender.
This study compares four different distance metrics, i.e., Euclidean, Manhattan, and Minkowski distance (the latter for two different coefficients), and contrasts them with road distance and travel time, respectively, in the context of applied health services research.
This resulted in a partial proportional odds model, with two identical regression coefficients for variables meeting the proportional odds assumption and two different coefficients for those that violated the assumption Regarding perceived recovery at 1 year, 28 and 67 patients reported complete recovery and improvement, respectively, whereas 2 patients experienced some deterioration.
Temporal distribution of calculated Coulomb stress change imparted by the 2010 Maule earthquake for three different apparent coefficients and slip models [slip models of (a) Fujii and Satake (2013), (b) Delouis et al. (2010), and (c) Luttrell et al. (2011)].
Temporal distribution of the calculated Coulomb stress change imparted by the 2011 Tohoku-Oki earthquake for three different apparent coefficients and slip models [slip models of (a) Satake et al. (2013), (b) Yokota et al. (2011), and (c) Gusman et al. (2012)].
In order to evaluate to what extent selection causes an outlier PPP-value for the underlying SNPs, we analyzed several simulated data sets with some SNPs subjected both to balancing and positive selection (see Materials and Methods) and three different selection coefficients as representative of low (s = 0.02), moderate (s = 0.05) and high (s = 0.10) selection intensity.
We selected 20 isogenic lines to obtain experimental genotypes of three different inbreeding coefficients (outbred F~0; intermediately inbred F~0.45; and inbred F~0.89, Figure 1).
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