In proposing our approach, we acknowledge the interesting previous efforts to develop a logical language for biology, based on classical logic [18], [19], [20].
Whilst suggesting that medical students' formal prescribing education is overly simplistic in its approach, we acknowledge that a significant amount of learning takes place informally in workplaces and remains largely unevaluated.
These forms of calibrations are standard approaches, although we acknowledge that further work must be done in order to make these sensors more easily usable for clinical settings, where 'plug-and-play' devices are more welcome.
However, for all factors also some arbitrary limits are introduced (see explanation below) to simplify the approach; thus, we acknowledge that the weighting strongly depends on expert opinion.
While we feel that these broader conceptualisations of emotion suppression and acceptance have greater ecological validity and link well with clinical approaches to emotion regulation, we acknowledge that these definitions depart from aspects of the existing experimental literature in some ways.
Whereas we do not agree with the sentiment that ELISpot is less robust and informative than other assays (despite significant technological advances, ELISpot data remains as informative as other approaches in clinical cohorts), we acknowledge the inclusion of these data might confuse the overall message.
Before considering the legal approach, we should acknowledge the benefits of investing in the innovation community to gain a deeper understanding of prospective partners' ways of working.
Although we apply our prioritization approach to the Coral Triangle Initiative, we acknowledge that our analysis is focused on a small aspect of the conservation problem in the Coral Triangle.
However, we acknowledge that these approaches may be inadequate to control for mechanisms that are likely much more complex.
We acknowledge that this approach relies on a national data set.
