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These results suggest that the advantages of DG methods may significantly outweigh their disadvantages, in the settings tested here.
Appropriate use of evaluation methods may significantly improve the quality in the ease-of- use of educational software to disable users.
Open-loop simulations of a two-phase synthetic reservoir demonstrate that TE methods may significantly improve short-term risk measures such as expected return, standard deviation and conditional value-at-risk compared to nominal, robust and mean-variance optimization.
It is likely that a combination of the two methods may significantly complement each other, resulting in a highly accurate diagnostic test.
Here, I describe emerging patterns that have come from the various initial model systems, the advantages and limitations of the technique and key areas where these methods may significantly advance our empirical and applied conservation practices.
Data from controlled mass-balance experiments suggest that dermal wash methods may significantly underestimate exposure since they typically remove approximately 20 40% of the available compound, with the remaining amounts likely absorbed through the skin (Fenske and Lu 1994).
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Such a method may significantly rely on subjective assessments of analysts and become inaccurate to realistic analysis.
Case study results indicate that this method may significantly improve computational efficiency, particularly for multi-stage bulk transmission system planning optimization with high renewable penetration level, which usually considers building multiple parallel circuits for significant number of candidate route.
Monthly benefits may be cut, or the accrual method may significantly change.
With the number of available metabolic networks already reaching more than 600 and growing fast, the new method may significantly contribute to the identification of enzyme localizations in many different organisms.
It can be immediately noted that predictive methods may provide significantly different Nexpected (before/after) and ΔNexpected estimates.
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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