Sentence examples for issues to consider when using from inspiring English sources

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There are several practical issues to consider when using parsers for this task.

The difference between these themes and the section on the perceived ethical issues, is that the latter is focused on physicians' answers to a specific question during the semi-structured interviews (ie. their views about what, for them, are the important ethical issues to consider when using the GIR in patient selection within renal transplantation).

Similar(58)

Another issue to consider when using time preferences to develop public policy is the concept of intergenerational time preference, or in other words, how the utility of the current generation is to be weighed against the utility future generations will experience.

Case definition is an important issue to consider when using administrative databases for research purposes (Khan et al, 2010a).

A statistical issue to consider when using the MMSE as a screening tool for further assessment of a sub-group of participants is regression to the mean.

Therefore, the lower expression level observed in top leaves is an important issue to consider when using transient agroinfiltration systems for recombinant protein production.

One important issue to consider when using honey to treat typhoid fever is how to achieve a honey concentration in target organs like spleen, liver, lymphoid tissue of the small intestine and blood at sufficient concentrations to be both active and bactericidal for multi-drug resistant S. typhi.

"I can also tell you that today the Construction and Engineering Association have issued new guiding principles for companies – principles to consider when using non-UK contractors and labour on engineering construction sites.

Papadakis discussed issues to consider when deciding to use videos in the classroom.

We now discuss some further issues to consider when planning a trial using a re-randomisation design.

Several important issues to consider when integrating microarray studies include use of different gene expression measurement scales, varying analytical power and reliability of the results for individual studies.

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