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Identification and quantification of numerical error is complicated when Computational Fluid Dynamics (CFD) is coupled with Discrete Element Method (DEM) to model particle-fluid interactions.
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As Darshak Sanghavi explains, it's clear that the issue of medical errors is complicated by concerns like incomplete work-rulescompliance, as well as by demonstrably poor practices like handoffs.
Though the power affected by genotyping errors is complicated in different scenarios and disease models, the power either does not change or changes monotonically with the conf given the scenarios and disease models (see Additional file 3).
On the other hand, if the errors are complicated, the problem is solved in a more deliberate way.
Next-generation sequencing has unprecedented potential for assessing genetic diversity, however analysis is complicated as error profiles can vary noticeably even between different runs of the same technology.
The analysis is complicated by a two-level error structure, having both additive and multiplicative errors, making some of the model parameters nearly degenerate.
This method is complicated and is likely to be affected by individual errors.
The SIH problem is complicated because the fragment data contain many inconsistent fragments caused by sequencing or mapping error.
Science is complicated.
Marijuana is complicated.
The answer is complicated.
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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