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Modeling is supposed to be simpler than coding.
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For instance, the model is supposed to miss the final margin by about 6 points when it issues a forecast on Election Day.
The new model is supposed to match with the actual working conditions.
This model is supposed to be built with the same aluminum structural frame found in the dm3s.
This model is supposed to be capable of demonstrating the influences of control inputs on control outputs, in an accurate and real-time manner.
This 2D nonlinear model is supposed to approach the 3D problem using a "zone-equivalence" methodology which we briefly recall the theoretical background.
In addition, the magnetic field model is supposed to be a static one, so all time derivatives vanish.
This new model is supposed to replace conventional speakers that take away so much valuable space on your desk, but I doubt this will happen.
The presented model is supposed to facilitate the introduction of damage criterion in order to describe the blistering occurring during a decompression.
The electron density maps are shown in light grey mesh representation at the various cycles, and the final refined model is supposed as grey ribbon onto the density.
This paper deals with the consistency of the evaluation process, where scores are expressed as labels by experts (over finite discrete scales), whereas the aggregation model is supposed to deal with numerical values and cardinal scales.
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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