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The number of models increased to 13 by the time EMICs were summarized by Claussen ([2005]).
As the complexity of the models increased to include branching reactions and branched species, the model predictions improved.
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Simulated hydrological components also changed significantly when the grain size of land-use modeling increased to 2.5 times that of the finest grain in the watershed.
The number of polygons in the model increased to 32,000.
The PlayStation 2 hardware allowed for more manoeuvres and a more detailed character model; the number of polygons in Croft's model increased to 4,400.
After adding household factors, the R squared of the block 1 and 2 model increased to 0.207.
The predictive power of the model increased to 41.1% when the FMA wrist component score at baseline was added (F2,27=9.424; P=.001).
When FEV1 was added to the latter model, indirectly incorporating the upstream environmental predictors of lung function as well, the explanatory power of the model increased to 25%.
When the Sanaga and Mbam River layers were included, the amount of genetic variation accounted for by the pairwise distance model increased to 56%, while the Tamura and Nei model increased to 72%, the highest percentage for all models across the entire study area included in this study (Table 2).
In the Northern Hemisphere, the standard deviation of the fire flux in the best-case model increased to 0.13 ± 0.04 Pg C yr−1 from the GFED3 baseline of 0.10 Pg C yr−1.
A model containing only HbA1c accounted for 4.7% of GBM width variation, with the total variability explained by the model increasing to 11.6% when MGHI, CEL, and CML were added to the regression model (7.9% increase).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com