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The best model found was a three-factor structure with 15 items five per subscale that proved to be valid for the Portuguese sample.
The best model found was optimized using the phase tool Optimizer to generate a model block with fixed substitution rates for a time heterogeneous run.
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The best ANN model found is a Multi-Layer Perceptron (MLP) with profile MLP 32 32 15 1 1.
Three of the four dynamic models found were used to assess screening strategies alongside vaccination.
The models found were mainly static (149/153), deterministic (113/153) and aggregate (113/153); all aggregate models were deterministic.
This family of models was found combining 20% of the runs, whereas in the other 80% all models found were out of the allowed tolerance range.
Most of those from the ANT2 models found were involved in cell growth and proliferation (Additional file 2).
Mathematically speaking, though, my model found it wasn't that close.
In addition, the distance-correlated spatial model is found to be the best-fitting model.
The average R 2 value for this model is found to be 0.9306 (Table 3).
A theoretical thermal conduction model is found to be in good agreement with experimental data.
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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