Sentence examples for model predictions indicated from inspiring English sources

Concentration profiles of 2-CP by model predictions indicated that biofilm bioregenerated the activated carbon by lowering the 2-CP concentration at the biofilm-activated carbon interface as the biofilm grew thicker.

Furthermore, reducing the influent organic matter concentration of 50% and 70%, model predictions indicated that microalgae production increased from (8.7 g TSS m− 2d− 1 to 13.5 g TSS m− 2d− 1) due to the new distribution of particulate components.

Model predictions indicated that natural forest area had the largest contribution to bird richness at landscape levels; avian diversity was projected to more than double when natural forest area increased from 25%to75%5%.

Although PM emissions from industry and traffic were the largest among all domestic sources, the dispersion model predictions indicated that background particles accounted for the largest share (mean = 54%) of the ambient PM mass concentration.

Results Model predictions indicated that, at observed levels of compliance with post-treatment recommendations, management with only cytological follow-up would result in 29 residual cases of recurrent CIN3+ by 10 years and would cost £358 222 (€440 426; $574 910) (discounted) per 1000 women treated.

Similar stage-dependent effects were observed in an experiment that removed a fungal endophyte from its host grass and showed that endophyte presence reduced host survival but increased reproduction; model predictions indicated that the beneficial effects of the endophyte on reproduction overwhelmed its negative impacts on survival (Rudgers et al. 2012).

Model predictions indicate the potential sharpness of the fractionation that can be achieved with this method.

Model predictions indicate that the prompt reaction pathway has a significant effect on the flame speed.

STILT rejects the possibility of positive Nanog autoregulation with high confidence; instead, model predictions indicate weak negative feedback.

The model predictions indicate that the diffusion step controlled the overall dissolution kinetics and is the rate controlling step.

The Nv power-law dependencies deviate, however, from model predictions, indicating that a stationary state is not achieved.