Sentence examples for maker interaction from inspiring English sources

This study also suggests that one of the main rationales for researcher-policy maker interaction was driven by the need to share positive findings.

The findings in the present study do not provide specific recommendations for policy makers; rather, they suggest the relevance of researcher/decision maker interaction for implementation policies and thus it makes the case for acknowledging it.

This is admirable initiative perhaps, yet suggests the existence of a knowledge translation gap, whether that is due to lack of opportunities for researcher-decision maker interaction, or the failure of academics to 'push' or managers to 'pull' relevant research [ 51].

If we were to do this again, we would have one day-long workshop geared towards a facilitated group discussion to maximize peer-to-peer and researcher-to-decision-maker interaction.

This could be due to the inclusion of policy-makers, since more weight was given to the influence of researcher-policy-maker interaction as a strategy to promote evidence use at the policy, rather than program management, level [ 32].

It is therefore likely that other variables not captured in our study contribute to the observed differences by sex and race, such as bias in provider decision-making or provider-patient/decision-maker interaction [ 25– 27].

However, the limitations in the decision-makers' interactions associated to this scenario bring new challenges.

These ichnotaxonomic distinctions have been questioned; at issue is whether ichnite morphology correlates more with actual taxonomic diversity or with variations in track maker-substrate interaction, and thus better represents paleoenvironment and behavior than taxonomy.

Not only does it record its maker's intimate interaction with the clay as he forcefully had his way with it; its battered form, decked out in the kind of color that might be worn by a prom wallflower, is a tribute to survival.

It is shown that the procedure allows the designer to become a knowledgeable decision maker because his interaction is required at the key points of the process, and because the trade-offs among the objective functions can be easily assessed.

To do this, a commonly used approach consists to calculate the Choquet integral directly from the values provided by the decision maker for the interaction indices I 2 ( A ), and by using the expression of C v given by Grabisch in [28]: C v ( z ) = ∑ i, j ∈ N | I ij > 0 ( z i ∧ z j ) I ij + ∑ i, j ∈ N | I ij < 0 ( z i ∨ z j ) | I ij | + ∑ i ∈ N z i ϕ i − 1 2 ∑ j ≠ i I ij, (1).