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Stepwise forward regression led to a combination of associated markers that collectively explained between 7.5 and 38.2percentt of the genetic variation of the evaluated traits.
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The variation of the parameters evaluated is presented in Table 1, with mean values and standard deviation.
The spreading is attributed to both a limited precision of geometrical wire data and a possible doping inhomogenity, i.e. a realistic precision of ± 5% in the measurement of the wire diameter and the wire length, respectively, may sum up to a variation of up to ± 15% of the evaluated doping density.
The parameters that describe the temperature variation of the energy were evaluated by the semiempirical Varshni relation.
A dam break is simulated more stably and the space distribution and the time variation of pressure are evaluated more smoothly than the traditional method.
As suggested by Ruggieri et al. [ 85], the effect of the population structure on the variation of the traits considered was evaluated by multiple regression analysis, performed with SPSS v.22.0 (IBM, Chicago, IL, USA).
In this study the variation on concentration of photoinitiators affected all the evaluated properties, confirming the tested hypothesis.
Finally, we studied the annual variation of the propagation characteristics to evaluate the effects of solar activity.
The use of the temperature variation of the dissociation constant for evaluating changes in ΔC°p is reviewed with a view to establishing the degree of reliability of such values.
The overall time-variation of the markers was evaluated by a mixed-factorial analysis of variance (ANOVA) with random-coefficient general linear model.
The variations of base moment evaluated from both cases are shown in Table 8.
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CEO of Professional Science Editing for Scientists @ prosciediting.com