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Subcategories were labelled to indicate "desirable" assumptions, values and norms related to patient safety even though the informants sometimes expressed the "opposite", e.g. perceptions of not being trusted or not having reasonable responsibility.
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The third assumption is known as the strong disposability of desirable outputs: This assumption suggests that it is possible to reduce desirable outputs without reducing undesirable outputs.
Even though follow-up data through 24 months are available and there is no evidence or clinical rationale that would support a contrary assumption, further follow-up data will be desirable to confirm our assumptions.
Since it is, from an engineering point of view, desirable to make approximative assumptions at the level of the mechanical rather than the probabilistic modeling, simplifications should be carried out in the space of physically meaningful system- or loading variables.
It may be desirable, however, to relax assumptions regarding the posterior distributions of the model parameters, and to do this requires a replacement of the step that draws the conditional predictive distribution of the missing data given the observed data.
As is always the case in modeling, it is desirable to employ simplifying assumptions regarding model inputs that allow efficient model construction while simultaneously ensuring adequate model accuracy.
To account for nonstationarity, channel characterization and system design methods that employ the non-wide-sense stationary uncorrelated scattering (non-WSSUS) assumption are desirable.
Undesirable desire turned desirable.
Our scheme, which is provably secure in the random oracle model with the intractability of BDH and CDH assumptions, supports all desirable security necessities of the CL-SDVS scheme such as strongness, source hiding and non-delegatability.
The autoregressive non-linear models therefore seem to be a more robust choice for prediction of macroscopic road safety trends, as they provide desirable predictive properties, satisfy the assumptions of the model (e.g. uncorrelated residuals) and provide intuitive model parameters (in terms of magnitude and sign).
Therefore, a method that can "relax" these assumptions is highly desirable to validate the results.
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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