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Again, this value results from averaging over the experimental types for the preconditioned cells compared to controls.
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We use a win probability p = 0.7, since this value resulted in the best performance in our simulations.
Applying the first scaling option, their ANCO of 0.15 is divided by this value resulting in a scaled value of 0.75.
This value resulted from the assumption that all parameter values are zero in the initial stage of estimation in the model specification.
In particular, selecting the initial leak size was one of the most critical aspects, and inconsistent approaches for selecting this value resulted in different risks for identical systems.
This value result is heterogeneous and is barely correlated to the review cases, demonstrating the frequent establishment of a fibrous union.
It can be observed that a modulus of elasticity of 50,000 69,000 kPa is a good representation of the dense sand since using this value resulted in good agreement.
Site values of ρg were considerably lower than 1,000 kg m−3 so assuming this value resulted in consistent over-prediction of both ρg and MOE at the tree level.
For example, a 1% change on a salinity of 20 psu (baseline) would mean a shift by ± 1% from this value resulting in changes to all calculated variables from their respective baselines.
From Figs. 9 and 10, it can be observed that a modulus of elasticity of 27,000 kPa is a good representation of the loose sand since using this value resulted in good agreement.
Any increase or decrease in salinity from this value resulted in a decrease in survival, with the lowest salinity tested (30‰) having a significantly negative effect on survival (58.4%) when compared to the control.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com