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Manual editing was used to merge EST sequences and gene predictions, to correct frameshifts, and to fuse one gene split across two contigs.
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The methodology combines data from experience and prediction models to correct the structural reliability models.
Our second aim was to examine the feasibility of using prediction models to correct for underestimates of prevalence of HBP using self-reported data.
In terms of active inference, sensory reafference constitutes prediction errors that serve to correct high-level representations, so refining top-down predictions and leading to sensory percepts.
Prediction models are used to correct the dynamic behavior and to predict the fluid temperature faster accurately.
True positives (TP) results corresponded to correct positive predictions, which are actual correct predictions.
However, the models generally suffer from high false-positive rates, which leads to poor performance with respect to correct prediction of inactive compounds.
For each FP prediction, we first attempted to correct it by removing metabolites from the biomass objective function of the original iNJ661m network.
The results for WoLF PSORT do not allow a direct comparison with the SP, because WoLF PSORT considers combined predictions to be correct when one of the predictions is correct.
Here, a detailed 1D analytical model is presented that takes piezo material parameters and geometry dimensions into account leading to correct thrust predictions in line with experimental measurements.
Table 4 shows the seven FN predictions that we were unable to correct.
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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