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As we observed a highly variable sensitivity to the DNA damaging agent cisplatinum, we investigated if this variability selectively observed in CAFs from lung cancer is due to genetic changes in genes coding for regulators of DNA damage response.
However, if this variability is explicitly considered in soil sampling schemes, experimental results can help us better understand soil microbial properties.
The computer modelling of graphite components may predict different outcomes to standard analyses (that use mean values) if this variability is incorporated into the analysis workflow; specifically through stochastic modelling.
The purpose of this study was to examine intra-individual variability of objectively determined daily sitting time and to determine if this variability was related to weekly averages of sitting duration or recommended moderate-vigorous physical activity (MVPA).
If this variability is ignored by taking some mean value and attributing that to all of those exposed in a period at a study location, many bathers may be misclassified and the studies may be biased to a 'no-effect' conclusion.
In contrast, if this variability expresses itself equally well under either set of instructions, we can conclude that this skill does not require conscious application of attention and knowledge processing.
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If, despite this variability, one wants to give recommendations for clinically relevant effects that can be considered of interest for antiemetic trials studying the treatment of PONV, one may consider two scenarios using the lower and the upper bound of the 95%-confidence interval of the pooled incidence of PONV recurrence.
The biological significance of this variability, if any, remains unexplained, but the ELISA results were tightly correlated with the Western blot analyses of insoluble pSer129 αS.
We suspect that even given this variability if phytoestrogens were strongly associated with premature labor we would see indications of this association even with serum samples taken hours after the last intake.
Nevertheless, even if such a phenomenon exists, this variability would most likely dilute and not magnify the associations found in the present study.
Understanding and modelling the source of this variability is crucial if computational tools are to be developed for clinical applications.
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