Sentence examples for provide an assumption from inspiring English sources

Exact(2)

In fact requirements of Jensen concavity of mean and its symmetry were taken just to provide an assumption of these two results to be satisfied.

Additionally, based on the various intra- and inter-molecular interaction energy terms such as van der Waals forces (vdWf), we provide an assumption that the drug release may further be dependent on (1) the matrix rigidity and (2) the matrix flexibility inherent to the polymer fragments.

Similar(57)

Therefore, expert raters using the single-item digital measure, while providing an assumption of validity, lacked overall reliability and agreement between raters.

For this purpose, using single time-frequency bins provided an assumption-free comparison of information content at high resolution.

This equation will be useful for understanding the age-dependent features of the relative permittivity of concrete, and to provide a reasonable assumption of the relative permittivity of concrete for GPR application in the field.

It does, however, provide an U.S. EPA assumption equivalent to that used by Trasande et al. To estimate the portion of consumption affected by the domestic deposition of mercury, we use the U.S. EPA's upper-bound estimate in the Technical Support Document for CAMR reconsideration (U.S. EPA 2005c).

In addition, a term CSI-RS resource is defined as a CSI-RS configuration and an interference assumption, which provides a CQI assumption.

Such an assumption may provide an increase in the performance of collaborative sensing, for example, by initially considering only reports from reliable nodes.

Genome-wide expression studies, which are not influenced by deductive assumptions, provide an unbiased approach for investigating the pathogenesis of complex diseases like AD. Transcriptome analyses have been performed using transgenic animals models of AD and patient-derived cell lines [5], [6].

Examination of residuals will provide an assessment of model assumptions for regression analyses.

Given such a dataset, propensity score methods would address these issues and, with confirmation of model assumptions, provide an estimate of the causal effect of interest [ 8].

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