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We also quantified the effect of physical ripening on structure development by measuring aggregate size distributions for four half-ripe and four ripe sediment samples that were collected from field sediment disposal sites.
We also quantified the effect of heterogeneity using the I test.
We also quantified the effect of correlations among markers conditional on local ancestry (background LD) in our approach.
We also quantified the effect of herbivore removal on dissolved organic C, microbial biomass, fluxes of CO2 and CH4 during the growing season at the Thiisbukta site.
By combining our data with the NTP reporting data, we also quantified the effect of HIV on the TB reporting rates in this city.
In addition to the MTT- and crystal violet assay, we also quantified the effect of MR-4 on growth rates of WI38 and WI38VA cells by viable cell counting.
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We also quantified the effects of other variables such as stand age and elevation on tree occupancy.
We also quantified the effects of changes of the target enzymes on other intracellular states like energy charge, cofactor levels, redox state, cellular growth, and byproduct formation.
Finally, we have also quantified the effects of the rotational diffusion on the run length distribution and showed that there is some additional truncation due to this effect, however, the power law distribution can still be observed over several orders of magnitude.
We also quantified the effects of CSC on the degradation rate of FANCD2.
We also quantify the effect of the failure strength on the initiation and extent of damage.
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