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Every grid consists of four components: topic, elements, constructs, and ratings.
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Our analytics to measure the naturalness of each personae operates on a level-by-level basis, i.e., profiles, contexts, topics, elements and inferences.
While the definition of profile, topic areas, elements and inferences was straightforward, specifying appropriate contexts required a comprehensive analysis of the profile elements of each individual and determining how that profile was being used, e.g., for work, social, and so on.
The various identity conceptualisations were then assessed with the aim of ascertaining what profiles, contexts, topic areas, elements and inferences may be regarded as natural.
To define naturalness for a set of individuals or personae of a specified type therefore, this approach would be guided mainly by what personae, profiles, contexts, topics and elements tend to be available, and the inferences that are usually possible.
To review the response and behavior of bearings in electrical environments, the subject in this chapter are categorized into four main topics: rolling-element bearings, lubricants, hydrodynamic journal bearings, and thrust bearings.
The structures resulting from this analysis would identify the profiles, contexts, topic areas and elements present, along with the inferences possible, for each of the individuals' personae; the mapping in Fig. 2 would be useful here, especially in the top-down analysis.
This framework is limited, however, in that the set topic and main elements are considered to stay fixed during the project, as if it is just a matter of implementing the elements rather than the elements changing themselves as a result of implementation.
Fig. 1 A conceptualisation of an online presence relating personae to profiles, contexts, topics and model elements and inferences.
Mesh generation has remained a central topic in finite element analysis (FEA) for a few decades now.
This could adopt a layout similar to that in Fig. 3 but instead, the presence of elements, topics, contexts and profiles, would be dictated by whether they could be expected to be present.
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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