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The theory is then used in implementing an iterative numerical code designed to retrieve the underlying material response from biaxial bias extension test results and examples predictions are given.
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For example, predictions are conducted based on similarities between the query sequence and the manual annotation of genes or from full-length cDNA databases (e.g., [ 4]).
The model predictions are illustrated with examples from the literature.
This strategy yielded 47 novel miRNA candidates, an example prediction is shown in Figure 1.
Moreover, in this example, the model prediction is based on an analysis of the results of 286 subjects, while the experimental mean value in Table 1 was obtained on 32 subjects.
Two other examples of predictions are shown in Figure 2.
For example, enzyme predictions, are at the third rather than the fourth EC level and coverages range from 40 to 70 percent.
Several examples of life predictions are presented through case studies representing real life applications such as automotive suspension components and cylinder blocks.
Two application examples with two materials are considered and in both examples the theoretical predictions are very accurate.
Three illustrative examples of validated predictions are described briefly below.
Statistics on neighboring predictions: for example, how many predictions are made by other PPPs within a certain distance (50, 100, 500, 1 k, 2 k bps) away from current prediction.
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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