Sentence examples for of significant processes from inspiring English sources

Modern observational tools will eventually improve the consistency of biosphere models through creating multiple constraints for positioning 'true' values for model parameters [32 35] and through filling gaps in knowledge needed for improving descriptions of significant processes.

Field observations hardly allow us to make a reasonable choice between competing conceptual frameworks, to form an agreement on the best model structure, or even to discriminate between adequate descriptions of significant processes from inadequate ones [18].

Field observations hardly allow us to make a reasonable choice between competing conceptual frameworks, to form an agreement on the best model structure, or even to discriminate between adequate descriptions of significant processes from inadequate ones [ 18].

Modern observational tools will eventually improve the consistency of biosphere models through creating multiple constraints for positioning 'true' values for model parameters [ 32- 35] and through filling gaps in knowledge needed for improving descriptions of significant processes.

As this study is designed to find the potential involvement of pathways, biological processes and cellular compartments rather than to find aging marker genes, we used a ratio cut-off of 1.3-fold-change as it is of importance for the analysis of significant processes to provide a target gene list of hundreds of genes.

Analysis of variance (Montgomery 2001) gives the percentage contribution of significant process parameters.

Besides, the effects of significant process factors on the yields and properties of bioproducts are introduced.

The purpose of ANOVA is to investigate the significant process parameters along with percentage contribution of significant process parameters on the performance characteristics.

The effects and percentage contributions of significant process factors and its interactions have also been presented and discussed in this section.

Here, the influence of significant process parameters, forming strategies and tool systems on both the course and the outcome of the friction-spinning process will be shown.

The developed neurocontroller was found to be robust in the presence of significant process uncertainty, as a result of the generalization afforded by the learning algorithm.