Sentence examples for interpreting data on the from inspiring English sources

Our results, although strictly valid at T=0, can be valuable for interpreting data on the evolution of domain width at finite temperature, a still largely open problem.

Therefore, the magnitude of the measurement error and the types of bias that are characteristic of different physical activity monitors should be considered when planning studies and interpreting data on the relationship between physical activity and health outcomes.

There are some key challenges in interpreting data on the epidemiology of H. ducreyi as a causative agent of GUD.

Inconsistencies across states, resulting from conflicting evidence (12, 13 ), present a challenge in interpreting data on the national level.

In Moyo and Adjumani districts, a further difficulty with interpreting data on the uptake of drugs, is that increasing numbers of people are not sure what drugs they are swallowing.

Care should be taken when interpreting data on the time lag between first symptoms and presentation to a physician, as patients may have a history of short and transient episodes of pain and other symptoms before the development of persistent symptoms.

A related issue addressed by Shanks and Brundage concerns interpreting data on protection during the fatal October November 1918 fall wave by influenza viruses circulating earlier in 1918 (we avoid the term spring wave on the grounds described below).

We administered two isomorphic test forms, each containing nine short-answer questions and 14 multiple-choice questions contextualized around authentic real-world problems, such as evaluating the trustworthiness of information found from various sources (including a fictitious website) or interpreting data on meat consumption trends over the past 20 yr from a New York Times article.

However, the authors neglect several crucial premises in interpreting data on frequency of severe hypoglycemia (SH).

Accurate estimates of the duration of infection have proved useful in interpreting data on factors that influence rate of disease progression [ 16].

Thus, these factors are important to take into account when interpreting data on biased signaling.