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Read chimerism, base pair tautomerisms and signal intensity issues can contribute to false positive variant detection by causing stochastic inaccuracies, general sequencing errors, and misalignments in NGS data [ 7, 10].
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Any systematic discrepancy reflects inaccuracy whereas stochastic variation around the mean estimate reflects precision.
As revealed in Table 4, the difference in the STMs computed using the CSSBN and an analytical CSPBN approach is significantly reduced by increasing the sequence length L. However, the inaccuracies, due to the inherent stochastic fluctuations in stochastic computation, are generally small and thus negligible.
The deterministic QSSA pointed to the reduction step which caused the inaccuracy in the stochastic QSSA.
This approach can lead to inaccuracies in stormwater quality modelling due to the assignment of stochastic pollutant parameters to a rainfall event.
Since these estimates are by nature stochastic (they represent a "typical" operating condition rather than the specific operating condition that is actually encountered), inaccuracies in these estimates of energy and utility that go into choosing an appropriate can result in the system behaving suboptimally.
That is called stochastic resonance.
See also stochastic process.
Such inaccuracies are not uncommon.
Others complained of historical inaccuracies.
Sample entries and certain slight inaccuracies given.
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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