Sentence examples for relevant to define from inspiring English sources
In perspective, it seems relevant to define consensual thresholds for optimal rate and vitamin D deficiency rate, and reflect on inexpensive ways of testing vitamin D deficiency.
Given that in North America buildings account for between 45 and 75% (depending on the region) of total electricity consumed, it is relevant to define an assessment framework to quantify the impact of variability in building electricity demand on the electricity system.
In this approach it is not so relevant to define, as in many other cases, areas of high, medium, and low hazard or risk, but rather to identify levels of intervention based on the probability level of events and their effects the expected annual occurrence of events and the expected annual loss.
With a larger sample size in future studies it would be relevant to define the characteristics of those participants who benefitted the most from music therapy.
It may also be relevant to define whether hospital care at home exceeds the limitations of some of the weakest and most technological-dependent individuals.
Criteria that are relevant to define policy intervention priorities also differ from those that are adequate to judge how research should be prioritized.
A further consideration relevant to defining relativism is its scope.
Accordingly, it can be argued that any aspect of processing, relevant to defining the risk which might arise from processing, could fall under the category of 'additional information necessary' – depending on the context.
The methodology used, a Solomon four-group design [ 15], was considered relevant to defining robust outcome measures in future PVC studies.
Our measurements of gene expression under well-characterized conditions directly relevant to defined biological processes illustrate examples of altered gene regulation that suggest functional differences between species.
> The review discusses five major types of challenges relevant to defining contact networks related to epidemics, assessing the consequences for diseases of modern mobility, studying disease spread and control in directed, hierarchical networks, moving from static to dynamic network models, and developing spatio-temporal network simulations of diseases.
