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Concretely, a construct is a weak representation system if : \bigcap\mathop{\mathrm{Models}}(\bar{q}(T)) = \bigcap \{ q(R)\,| R \in \mathop{\mathrm{Models}}(T) \} The right-hand side of the above equation is the sure information, i.e. information which can be certainly extracted from the database regardless of what values are used to replace Nulls in the database.
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The nonmyopia assumption is introduced for our procedure, since a discrete time framework is a weaker representation of myopia.
This result reveals that information based on standard indexes are a weak representation of observed actions in terms of country preferences revealed through migration.
More generally, it was shown by Imielinski and Lipski that Codd tables are a weak representation system if the query language is restricted to projections, selections (and renaming of columns).
However it is still not a complete solution for incomplete information in the sense that v-tables are only a weak representation for queries not using any negations in selection (and not using any set difference either).
This is a weak penalty.
"It is a weak generation".
Parking is a weak point.
But this is a weak point.
This is a weak and inadvisable position.
That is a weak argument.
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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