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Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions.
Use of model organisms and systems is common practice in basic biology research because it generates knowledge that is applicable to other, more complex organisms and systems that are impossible or impractical to study (Fields and Johnston 2005).
"Clinical research has instrumental value because it generates knowledge that leads to improvement in health.
While it generates knowledge that has a value per se regardless of its possible practical outcome, it also delivers knowledge that has the potential to produce more practical benefits.
Following the work of Weiss [ 19, 80], and others [ 7, 14, 37, 38, 55, 81, 82], various models of research utilisation in policy-making have been identified, and they are thought to be applicable beyond the social sciences: This suggests a linear sequence in which research generates knowledge that impels action.
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For this, it would have to generate knowledge that could be used for residential development.
The emphasis is on generating knowledge that can contribute to community and social change (Israel et al. 1998).
Post-genomics such as transcriptomics, metabolomics, and proteomics can generate knowledge that is closer to the biological processes.
Often, RTD is necessary to generate knowledge that is relevant for design such as design guidelines or prototypes.
New "Head Impact Telemetry System" technology is being placed in helmets to study injury mechanisms and may generate knowledge that will potentially help reduce the risk of concussions among American Football players.
Moreover, can they be used to generate knowledge that cannot be more easily obtained from zebrafish and medaka?
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