Sentence examples for parameters that are essential to from inspiring English sources

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Herbivores, microbial mutualists, and soil nutrients can affect plant survival, growth, and reproduction, demographic parameters that are essential to plant restoration.

In this article four commonly used electrodeposition methods, i.e. the constant potential method, the pulsed potential method, the constant current method and the current pulsed method, have been evaluated to optimize the electrical parameters that are essential to achieve smooth uniform coatings with high reproducibility and simplicity of operation.

Our study pin-points the difference between parameters that have a quantitative, modulatory impact on model output, where the perturbation size is correlated with the change in model output, and parameters that are essential to the system in a qualitative manner.

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The compression index is a one of the important soil parameters that is essential to geotechnical designs.

Data on root tensile resistance in combination with root density allow for the estimation of additional root cohesion, a parameter that is essential to account for the presence of vegetation on hillslopes and embankments.

Neutronic parameters that are essential for reactor safety, like reactivity coefficients and control rod worths, are in most cases similar to those of LEU and MOX fuel.

Therefore, the present paper presents a multi-physics model which determines all parameters that are essential for an aging prediction.

Thereby, we aim for basic parameters that are essential for a reliable microinjection procedure into the yolk cell of one-cell staged zebrafish embryos.

The HWMP routing protocol has a set of protocol parameters that are essential for the path management and directly impacts on the communication performance in the WMN.

Multivariate regression equations were developed using FEM results for the various seismic performances based on multiple design parameters that are essential in the design of GRS walls.

In the present case, 77% of the variance (most likely including variance in parameters that are essential for defining neuronal output) is lost in the analysis.

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