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A good prediction fit of the models was established by the regression coefficients higher than 0.997.
The proposed test signal design method is shown to provide superior outcomes in output prediction fit and also to allow the application of input and output constraints as required for experimental industrial applications.
As shown in the table, majority of the prediction fit with the experimental results ("Positive" in the Prediction assessment column).
When the BLSOM prediction fit to one of the candidates obtained by BLAST, this will become more reliable because the two methods are based on clearly distinct principles; sequence alignment-free and -dependent methods.
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The model prediction fits fairly well within the experimental fluctuations.
As we performed regular medium exchange in the static culture setups, this prediction fits well to our findings.
Finally, the model's prediction fits the experimental results very well by verifying the proposed model with the extensive database.
That prediction fits the observed frequencies.
The theoretical prediction fits the experimental data with average regression coefficient of r2~0.96.
Also, the theoretical prediction fitted all the experimental data very well except the only data with the concentration of 0.25 mg/ml.
The theoretical prediction fits well with the experiment results including time-of-flight mass spectra, extended X-ray absorption fine structure (EXAFS), analysis and AFM estimate.
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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