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The results obtained from the two models shows significant increase in the network throughput and drastic decrease in network delay and application response time.
We also exclusively reveal that with increasing temperature, the critical relative density for the failure models shows significant reduction, indicating service temperature increment enables the original fracture failure to transfer to the buckling of the core bars.
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Nevertheless, the models show significant variations and degrees of complexity.
All regression models showed significant increases in δ13C values during the experimental period.
Both models showed significant correlation between experimental and predicted data for all quality attributes.
However, the strengths of the stairwise staggered models show significant difference.
Smoking models showed significant interaction effects between race and education for non-Latino Whites only.
The models show significant conversion improvement with respect to existing steady state processes.
These models show significant improvement of failure probability prediction capability compared to the weakest link integral.
In this context, the study referenced in [19] confirmed that existing models show significant disparities at high wind velocity.
For effects on terrestrial carbon storage, all models showed significant decreases in carbon stock in the two RCP scenarios.
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