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The role of bFGF in neural fate determination could be explained by the expression of some Hox genes which are involved in spinal cord differentiation.
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In light of the problems inherent in case-by-case judicial determination of what is in the public interest, the Court's result could be explained as a decision that the cost of case-by-case evaluation could be avoided without significant chilling of speech involving matters of public importance.
In the former study, however, the observed differences between ecotypes could be explained by both genetic and environmental determination, since protein expression profiles are known to be significantly affected by environmental changes [ 20, 21].
The coefficient of determination (r) was used to determine the proportion of total variance in prone measurements that could be explained by sitting measurements.
Persistence of males in P. pacificus could be explained as a byproduct of the sex determination system, where males are generated by X chromosome non-disjunction events in hermaphrodite meiosis.
Moreover, the isotopic data were incorporated into a reactive transport model for determination of whether the isotope pattern observed downstream from the tank's source could be explained by the simultaneous effect of mixing and biodegradation.
The proportion of variance in prescribing that could be explained by MRSA rates was assessed by the coefficient of determination (R), using population weighted linear regression [ 14].
The proportion of variance in prescribing that could be explained by MRSA rates was assessed by the coefficient of determination (R), using population weighted linear regression.
The fit goodness of the model can be checked by the determination coefficient R (0.9879), indicating that 98.79% of the variability in the response could be explained by the model.
The coefficient of determination of this model was R = 44%, thus nearly half of the observed variance could be explained by the factors analyzed.Predicted versus observed LOS is shown in Figure 2.
The quality of fit of the quadratic regression model equation is expressed by the coefficient of determination (R), which equals 0.9350, indicating that 93.5% of the variability in the response could be explained by the model.
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