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On the basis of these observations, it is not difficult to prove the following: Proposition 3.1 Call a relation \(R x,y)\) polynomial decidable if \(\{\langle x,y \rangle \mid R x,y) \} \in \textbf{P}\).
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In the relational model, each individual entry is described by the set of its attribute values (called a relation), stored in one row of the table.
This relation might be called a relation of mutual recognition.
They, and some atheist contemporaries as well, think in terms of a "constituent ontology" as opposed to what Wolterstorff calls a "relation ontology" or what might be called a "nonconstituent ontology".
In terms of geometric relation, we employ relative positions between the target and the salient objects, which we call a geometric-relation-based representation (GRR).
As a relation-based representation of the target, we also employ relative positions between the target and the objects near the target, which we call a geometric-relation-based representation (GRR).
Then, the numerical relation in the problem including the unknown number is called a "numerical relation problem," and a numerical relation used in the calculation is called a "numerical relation calculation".
Now call a qualitative probability relation ⊆ properly extendable just in case it can be extended to a fine-grained qualitative probability relation defined on a larger language (i.e., a language containing additional sentences).
On the contrary, it means only that, unlike their predecessors, they refuse to call anything a relation merely because it grounds a relational concept.
It's called a "Transitive Relation" (if A is related to B and B is related to C, then A is related to C).
A relation for which it is true is called a symmetrical relation (example: "is parallel to").
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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