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Numerical sensitivity outputs demonstrated the impacts of fluidics (e.g. axial dispersion coefficient), thermodynamics (Langmuir adsorption) and mass transfer fluxes.
The final results (sub-CM outputs) demonstrated that integrating these techniques using proposed method provides an accurate, fast and cost-effective method for estimating the target value.
Combining the user input error results with the simulated error outputs demonstrated that the impact of human error is relatively low.
However, model outputs demonstrated that maintaining sward height below 6 cm on breeding grounds (e.g. by regular grazing) would significantly decrease the predicted loss of suitable foraging habitat.
A subsequent comparison of both outputs demonstrated that 1258 sequences were identical.
The GEMS outputs demonstrated in this figure include isochronal, velocity, amplitude, and time-interval maps, statistical parameters, and an animation sequence.
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This outputs demonstrate how the 1st Law is only a necessary calculation while the utilisation of the 1st and 2nd Laws becomes a sufficient condition for the analysis and design of low carbon buildings.
Moreover the comparison with a spectral response-based fuzzy classification, showed a higher accuracy in the Maxent outputs, demonstrating how the use of environmental variables, combined with spectral information in the classification of natural or semi-natural land cover classes, improves map accuracies.
The lack of consensus on most parameters, the wide range of estimates, and the impact of variability in estimates on model outputs, demonstrate the importance of sensitivity analysis for decision models employing expert opinion.
Key outputs demonstrate that the partnership was needed to fill an existing gap in the promotion of sustainable soil management.
Neo-Foucaldian scholarship needs to adjust because, as its considerable outputs demonstrate, there is a far more dangerous phenomenon to be opposed than an anachronistic and superannuated leftist determinism – what Foucault might have termed a daemonic conjoining of instrumental rationalities and a reckless global capitalism that brings with it its own governmentalizing procedures and intentions.
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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