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The relative susceptibility of the different fabrication methods to errors is discussed along with the role of grating reconstruction in characterisation of gratings.
Further, we introduced errors in the restriction sites by omitting individual sites with probability P and inflating sequence fragments by a factor of C. We experimented with different values of C and p to test the robustness of our methods to errors.
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The sensitivity of this method to errors in the speed of sound, errors of microphone calibration and errors of microphone positions in the duct is analyzed.
The sensitivity of the method to errors is likely to be dependent on the dataset as well as error characteristics.
There are several other methods to measure errors and, possibly, preventable, harm.
Table 2 shows the reported effect of interventions on MAE rates in the three studies that used direct observation methods to measure errors.
However, in all these cases, it is not clear how sensitive these methods are to errors in the priors.
For these reasons SAPREL is based on the deterministic approach but introduces some probabilistic methods to keep error rates down [ 20].
The obtained analytical results verify our intuitive expectations; the hyperbolic methods are sensitive to errors in network synchronization, RRRS methods to channel modelling errors, whereas DF methods are rather insensitive to systematic errors.
In addition, though we had many students working on this, we read every decision ourselves, making adjustments when our method led to errors.
After we detect errors in a graph, we need effective methods to fix the errors, known as data repairing [4].
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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