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Jumptap's search algorithm tries to rank actionable results higher than others, and it tries to deliver results appropriate to the device from which the search is being conducted.
Using the finite element results, appropriate shape and size of ferromagnetic component is compared and optimized.
The system tries to perform some consensus-building processes to make evaluation results appropriate for each student.
Based on the obtained results, appropriate recommendations are given that can help researchers in setting the QML technique.
Based on FE simulation results, appropriate process design without causing under-filling and folding defect was determined.
Based on the results appropriate processing conditions were then identified to produce the greatest degree of epitaxial growth as defined by the non-dimensional term.
Based on the experimental results, appropriate mathematical theories were identified/developed, allowing for a better understanding of the underlying drug release mechanisms.
As small modifications to the test setup may lead to totally different results, appropriate actions are offered to design a more accurate test setup.
Based on both the experimental and numerical results, appropriate slenderness limits and design rules, suitable for incorporation into structural stainless steel design standards, have been proposed.
From these results, appropriate organ doses and the effective dose were derived for the year of diagnosis and treatment and for the following years of surveillance.
When this information is unavailable or not described, results appropriate for each population but that differ across populations may be interpreted as inconsistent findings.
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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