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Possible reasons for these deviations are discussed.
The intrinsic mechanisms leading to these deviations are discussed.
The results by the different methods are compared and their deviations are discussed.
Comparisons with previous measurements from the literature are also presented and the observed deviations are discussed in detail.
The experiments and simulations demonstrate good correlation in the proof-of-principle study conducted here on a martensite ferrite dual-phase steel, and deviations are discussed in terms of limitations of the techniques involved.
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The method of closure for the spatial deviations is discussed in detail, and a closure scheme is developed that allows for theoretical prediction of the effective mass conductivity tensor.
All process deviations were discussed within the expert panel, and any deviations that were not yet covered by the prototype checklist were added as items.
In this paper, various factors affecting steady-state voltage deviation are discussed first.
Reasons for this deviation are discussed, and suggestions for a further model extension are made.
The relationship between these transients and the mass balance deviation are discussed.
The effects of the training algorithm, neural network architectures and transfer function on the ANN performance, as reflected by the percentage average absolute deviation are discussed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com