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Furthermore, we also performed several additional sensitivity analyses to consider potential relevant confounding factors.
To address this problem, the authors describe a distributed system model and corresponding vulnerability analyses to consider how vessel layout and distributed system configuration impact vessel performance under damage with limited information.
The numerical model was first used to perform parametric analyses to consider the effect of footing width, B and footing depth, D on the α factor mobilised in dense Blessington sand.
It is straightforward to extend our analyses to consider the robustness of the valley phenomenon to these variations (see Supporting Information S4).
In addition, we compare our results to statistical [24] and biophysical [25] distribution analyses of the H. binoei complex, and extend these analyses to consider climatic conditions during the LGM.
However, there are additional analyses to consider.
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The PDFs of these quantities were analysed to consider the separate influence of equivalence ratio stratification and turbulence.
We conducted several sub-analyses to consider the influence of the RD50 study exposure duration.
Furthermore, analyses need to consider important confounders such as trauma and other chronic conditions.
The objective of the interim analyses is to consider stopping for safety reasons only.
Indeed, genome analyses need to consider this large amount of heterogeneity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com