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We call this process "rooting" because scenarios on their own that is, as mere description of alternative courses of events would be effective and alive in the minds of managers as long as a tree without roots.
This result is surprising because Scenarios 1 3 outperformed Scenarios 4 6 which have more scale bars referenced.
Because scenarios focus on understanding potential vulnerabilities and adaptive responses, they allow a deeper understanding of the potential health risks associated with climate and other global changes.
This is because scenarios such as C and I focus controls in geographic areas that have elevated baseline exposures and risks, so that the benefits are spread less uniformly but serve to reduce existing inequalities.
Age dependent incubation period has recently been revived by Cooper et al., because scenarios including longer incubation periods in old cohorts provided a better fit of the data[ 10].
The lower the temperature, the more short inversions are preferred, but at sufficiently low temperatures, the mixing will be poor because scenarios with long inversions cannot be easily "bubbled out".
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Scenario 2 outperformed Scenario 3 which we expected because Scenario 2 has a scale bar referenced on the left side of the wall.
Apparently, scenario 2 is much more dangerous than scenario 1 because scenario 2 may cause chain reaction so that the system is pushed to an emergency condition, and may even cause blackout.
Because scenario 1 was identified as the most probable, posterior distributions for the parameters of interest were inferred for this scenario only.
Minor changes in the modal values shifted the distribution of ORs adjusted for exposure misclassification further away from the crude OR for scenario 15 compared with scenario 14 because scenario 15 is slightly more differential than scenario 14.
We used scenario ii) for the simulation (see Figure 4C and D), because scenario i) mostly affects the repression of Wnt1 translation and we only have evidence for degradation with the performed experiments.
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CEO of Professional Science Editing for Scientists @ prosciediting.com