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The models developed indicated that previously formed branches were influenced by the increased growing space created by thinning.
The models developed indicated the importance of the low prairie community in proper ecological functioning of associated wetlands.
The in vitro in vivo correlation (IVIVC) models developed indicated that fed state media (BDM 3) containing high levels of both bile salts (BS) and lipolysis products (LP) were best able to predict in vivo pharmacokinetic parameters (Cmax and AUC) with prediction errors lower than 10%.
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Illustrative forecasts from the models developed indicate the importance of design attributes, especially the basis of the initial permit allocation for personal carbon trading and the use to which revenues are put for carbon tax.
The reduced quadratic model developed indicated the significance of individual terms and some of the interaction terms.
The model equations developed indicate that the effects of input variables on the output are different in single-pass beam and double-pass beam.
The reduced cubic models developed for the responses indicated that the optimal conditions corresponded to a TNinf content of 644 728 mg N L−1, an HRT of 0.90 1.25 h, and a Vup of 0.60 1.79 m h−1.
Results further indicate that models developed using observed end-use consumption are more robust, demonstrating statistically significant predictors that do not significantly correlate with end-use estimates from the RECS sample.
If these results are consistent throughout other components of forest biomass, they indicate that models developed to estimate unmeasured portions of forest biomass based solely on the EAGB of measured forest components (e.g. [18]) may lead to an underestimation of the variability of forest biomass across the tropics.
Across all 40 645 SNPs, the correlations between ASEs estimated within each of the breeds varied from −0.02 to 0.04, indicating that models developed to predict genomic breeding values within one breed will have very low accuracies in other breeds.
If these results are consistent throughout other components of forest biomass, they indicate that models developed to estimate unmeasured portions of forest biomass based solely on the EAGB of measured forest components (e.g. [ 18]) may lead to an underestimation of the variability of forest biomass across the tropics.
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