Sentence examples for evaluate any differences from inspiring English sources

Exact(22)

We then performed extensive chemical analysis, chemical genomics, and comparative fermentations to evaluate any differences between these two different methods used for producing corn stover and switchgrass hydrolysates.

The purpose of this study is to evaluate any differences in the accuracy of digital templating for preoperative planning of THA, performed with 2 different surgical approaches: DAA using a radiolucent table with intraoperative fluoroscopy and the posterior approach (PA).

The purposes of this study were to define the patient-reported activity levels of patients younger than 65 years and older than 65 years who underwent RTSA and to evaluate any differences between the groups.

T tests were employed to evaluate any differences between groups in questionnaires.

In order to evaluate any differences between groups for VAS ratings intensity of the others' pain and of their own feelings of unpleasantness, a 2×2×2 factorial design was used with the group factor (PP-EDP), pain factor (painful-neutral faces) and familiarity factor (partner's-unknown faces).

The analysis will evaluate any differences in outcome measures between the non-deceptive placebo and no treatment groups.

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Similar(38)

In order to evaluate any difference in MMSE and total intracranial volume (TIV) between CADASIL patients and controls, mean values (MVs), standard deviations (SDs) and Student's t tests were calculated (statistical threshold set to p < 0.05) using SAS Software Package version 9.2 (SAS Institute Inc., NC, USA).

A paired t-test was used to evaluate any difference between the SNR and CNR of the two datasets.

Statistical analysis to evaluate any difference in peptide binding between healthy and tumor tissues showed a significant difference in fluorescent signal between the two groups.

In order to evaluate any difference in the cognitive profiles of men and women's orientation ability, the eight spatial orientation tasks were considered in two k-means cluster analyses separately for men and women.

The same test was also used to compare miRNA-29 expression levels in HIV-1 positive patients divided into two classes on the basis of the their viral load (class I: HIV RNA >10000 copies/ml; class II: HIV RNA <10000 copies/ml) and to evaluate any difference in miRNA-29a/b/c levels and mRNA levels of MxA, IL-32α and IL-32nonα between CD4+ T lymphocytes and CD14+ monocytes.

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