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Experiments demonstrate that a 20% improvement (in retrieval) over the current LSI model is possible.
ANN model is possible to substitute conventional data acquisition of POMS.
We will explain how this model is possible and state explicitly the challenges related to how this project can be sustainable and scalable.
Compared to other models, the present model is possible to evaluate data from 1990s to today with extreme accuracy and speedy.
Moreover, we expect that the Thiele modulus approach can be applied for other complex reaction/diffusion systems, provided that proper linearization of the kinetic model is possible.
The evaluation of this thermodynamically consistent model is possible in both the time domain, via stress-time signals, and in the frequency domain, via the dynamic modulus.
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A comparison with the numerical model was possible only in terms of natural frequencies and modal shapes.
State transitions from any state of one model to any state of another model are possible, in other words, the combined HMM model is fully connected.
No further simplifications of the model were possible because the interaction term, R×H, was significant (Z = 3.78, p<0.001).
We remark here that alternative approaches to constrain the factors model are possible and can lead to comparable results.
The duplication/random loss model, and the intramitochondrial genome recombination and duplication/nonrandom loss model are possible mechanisms to explain translocation.
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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