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Although vertical and horizontal structural diversity increased at sub-hectare scales, the highest variability occurred for all structural attributes when compared across all sampled conditions.
Individual tree and snag estimates were scaled to plot-level structural attributes and contrasted by their coefficient of variation within- and among-plots from unburned to moderate-severity, as well as across all sampled conditions.
The transformed data relate to the dynamical variables of our model as follows: SC pool size Si∼Vref,i/Vref, size of the OC Oi∼Vref,i/Vref, where i is the index of the sampled conditions.
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While yeast species such as S. cerevisiae have been well studied, only one previous paper has investigated sampling conditions with P. pastoris [4].
The association of sampling conditions with the log-transformed concentration ln [Conc]) = Y of each compound was studied using linear regression models adjusted for all sampling conditions simultaneously (measurement models).
This approach may not be efficient because adjusting for sampling conditions in a regression model aiming at characterizing the effect of exposure on disease risk is unlikely to correct for the effect of sampling conditions on biomarker levels.
The impact of sampling conditions on biomarker levels was empirically estimated based on the association observed in our data.
When studying the impact of biomarker levels on health outcome, adjusting for sampling conditions influencing biomarker levels is sometimes performed.
Chamber sampling conditions, temperature and sampling time, were varied to demonstrate suitability for precise headspace analysis.
Sampling conditions and purpose of use for ash samples.
Considerable controversy exists regarding optimum sampling conditions for PMets.
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