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Thus, the key feature of the overall model was that the acquisition of G-rich telomeric repeats through recombination was responsible for restoring telomere function and viability.
The overall model was validated by comparison with experimental data obtained in laboratory-scale RED stacks under controlled conditions.
However, the overall model was highly significant (P = 0.012), providing strong support for a scoring system that uses these variables simultaneously.
Accordingly, the overall model was successfully validated for isothermal and dynamic refrigeration cycles allowing for temperature dynamic changes at the centre and at the surface of the product.
Results from probit estimation showed that overall model was a good fit, most of the socio-economic factors were found significant.
The correlation of determination, R2, between the observed log surviving fraction (LSF) of cells from each of the conditions studied in the experiment, for the overall model was 0.811.
On the basis of p < 0.001 for the overall regression model, which means that the overall model was highly significant, it is concluded that the socio-economic characteristics of the population are the main factors contributing to the adoption of a biogas system in the area.
The overall model was significant (P=0.0013) as was Hsd (P<0.0001).
The overall model was significant as were all variables (P<0.05).
The overall model was highly significant (P<0.0001) as were the two variables included in the model (P<0.0001).
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Subsystems of the overall model are empirically parameterised and validated by means of extensive field surveys.
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CEO of Professional Science Editing for Scientists @ prosciediting.com