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A conceptual bio-fuel indirectly fired microturbine is used to illustrate how a simulation model and experimental design can be used to build an optimisation model of an energy system, and how this model performs compared to a model, where all the units are modelled in detail.
The result shows that this model performs better than the original vectorial total variational model on texture preserving.
This model performs as well as the current design rules, and it provides insight into the sheeting behaviour.
Our analyses show that this model performs better than individual metrics for both achromatic and chromatic stimuli.
We show that this model performs well in the case of one source as well as in the case of many aggregated sources.
I've reproduced his chart below:I was interested in how this model performs using British data, and I've plotted the result below.* There is certainly a strong correlation between the two series, most notably in 2008 when unemployment spiked.
We show that this model performs as well as or better than standard approaches across several datasets, most notably in regimes with small inter-stimuli intervals (3 5s), while also offering predictions that are highly interpretable in the time domain.
How this model performs in lower risk and unselected patients is not known.
This model performs better in our case than the other models we tried [36 39].
An algorithm in this model performs supersteps (a series of rounds), alternating well-defined local computation and global communication phases, separated by a synchronization barrier.
This model performs well in short-term forecasting of wind speed and wind power owing to the slow scale of meteorological changes.
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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