Sentence examples for appropriate for interpreting from inspiring English sources

According to the data shown in Table 1, both the Langmuir and Freundlich models are appropriate for interpreting the obtained experimental data; however, the Freundlich model, with a higher correlation coefficient (R 2), showed higher compatibility with the data, compared with the Langmuir model.

This suggests that the original norms are appropriate for interpreting the scores of contemporary infants.

The organ weights related to live weight seem to be more appropriate for interpreting the DON effects.

During general anesthesia, although analysis of the absolute value of HF may not be appropriate for interpreting changes in the ANS because of overall depression of the TP, the relative value (HFnu) may still be useful for interpretation of ANS activity when an overall decrease in all components occurs [ 11].

The cave dwelling, "sunken courtyard" (known as "di keng yuan" in Mandarin), is an appropriate subject for interpreting this type of change and cultural transformation.

They identified the need for evidence from clinical trials to address causal relations between subclinical vitamin B-12 deficiency and adverse health outcomes as well as appropriate cutoffs for interpreting vitamin B-12 related B-12 related

Thematic analysis was deemed the most appropriate method for interpreting interview data as themes can be constructed inductively and without reliance on a pre- determined theoretical paradigm, thus making it highly useful in exploratory studies with minimal previous research to draw upon [ 15].

Holocene deposits exhibit distinct, predictable and chronologically constrained facies patterns that are quite useful as appropriate modern analogs for interpreting the ancient record.

The concept of 'legitimacy claims' which is a key component of 'boundary work' carried out by healthcare professionals seemed to provide an appropriate theoretical 'lens' for interpreting our findings.

This study determined whether autistic traits would be continuously distributed in a population-based sample to establish the appropriate epidemiologic framework for interpreting the rise in estimated autism spectrum disorders prevalence over time.

To determine any population structure and infer the most appropriate number of subpopulations (K) for interpreting the data without prior information about the number of locations at which the populations were sampled, we used the F-model of the Bayesian clustering approach, STRUCTURE, proposed by Pritchard et al. (2000).