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Discover LudwigThe phrase "alleviate assumptions" is not commonly used in written English and may not convey a clear meaning.
It could be used in contexts where you want to suggest reducing or easing preconceived notions or beliefs about a topic.
Example: "To foster a more open discussion, we need to alleviate assumptions about the project's feasibility."
Alternatives: "reduce misconceptions" or "mitigate biases".
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Without alleviating assumptions it can become a computationally intractable problem.
Equipping CR nodes with sensors in conjunction with transceivers could help alleviate the assumption and is less costly than transceivers (Zhang and Su 2011).
Additional scenarios further alleviated the assumption that all sites evolve under the same total rate.
We further alleviated the assumption that all sites evolve under the same total gain + lost rate.
This adaptive permutation also alleviates the assumption about normality of data set.
We alleviated the assumption that all sites evolve with the same gain and loss rates and that the loss-to-gain ratio equals 1 for all sites.
To alleviate the mechanical assumption of rotating bodies, the theoretical model was modified to include crack-like features being represented by intersecting, elliptic cylinders.
The aSUM and 'step-up' methods alleviate the restrictive assumption of burden tests of the same direction of effect of all rare variants on the trait within the same functional unit or genomic region, but require permutation procedures to assess statistical significance, which may not be computationally feasible for genome-wide analyses in large samples.
We alleviate almost all simplifying assumptions, i.e., projects can now take multiple periods, be executed in parallel subject to various interactions as well as affect process performance absolutely and relatively.
In an attempt to alleviate potential discrepancies between assumptions of linear models and multi-population data, two types of alternative models were used: (1) a multi-trait genomic best linear unbiased prediction (GBLUP) model that modelled trait by line combinations as separate but correlated traits and (2) non-linear models based on kernel learning.
In this study, we alleviate the Wyner's original assumption by assuming that the MTs are uniformly distributed across the cells in Wyner C-GCMAC.
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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