The phrase "avoid the relevance" is not correct and does not convey a clear meaning in written English.
It seems to suggest a desire to disregard something that is relevant, but the phrasing is awkward and unclear.
Example: "In this discussion, we should avoid the relevance of past events to focus on the current situation."
Alternatives: "disregard the relevance" or "ignore the relevance".
We have attempted to avoid the limited relevance of reviews that include only randomized trials by including studies that have used other designs, but in doing so, the heterogeneity of comparisons increased.
Here, the authors avoid the cutoff discussion and its clinical relevance by using the lower 10th percentile to define deficiency.
So construed, the obvious way to try to avoid the frame problem is by appealing to the notion of relevance.
By using the metabolome of the relevant organism or close species, these methods capitalize on biological relevance, avoiding the assignment of artificial and non-physiological functions.
A range of features of phonetic design (including pitch, loudness, duration, and articulatory characteristics) are shown to be deployed in systematic ways in order to handle the dual tasks of avoiding the signaling of transition relevance at the end of the pivot, and marking out the fittedness of the pivot to both what precedes and what follows.
Unwittingly, the current and incomplete corpus of 'resource curse' findings allows the conceptualisation of what is simply an exemplary failure of dominant development paradigms, sanctioning the issuance of self-serving prescriptions, and avoiding the direct questioning of their relevance to genuine social outcomes.
The Association of National Advertisers (ANA) called for marketers to take control of their craft to avoid losing relevance.
To avoid flouting (Relevance) in this way (Entailment) had better be a principle that links truth-making to a more restrictive, non-classical notion of entailment (Mulligan, Simons, & Smith 1984: 316).
This approach avoids the traps of overly data- or theory-driven analysis and ensures that the research has relevance to the field.
The main relevance of prediction models is to correctly identify individuals at high risk, while avoiding the burden of treatment for individuals at low risk.
