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"We are now working on further research in trying to model these facts as well".
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(She models these facts and propositions within Situation Semantics, as situations of a certain sort and sets of situations, respectively, but we need not go into the details here. Note that, as we saw in section 1.2 above, she also countenances facts which are propositions).
With low substitution, γ=8, the model reproduces these facts: a decrease in the labor force, an increase in unemployment, and a decrease in employment after the increase in the maximum duration of benefits.
We present a simple game theoretic model that explains these facts with a single assumption: Latin American men, but not women, assign a greater value to having a stay-home wife.
These functions model the fact that there might still be a certain amount of iron at the beginning of the experimental infection.
A model then demonstrates how these facts can emerge in tandem.
This comprehensive introduction to economic growth presents the main facts and puzzles about growth, proposes simple methods and models needed to explain these facts, acquaints the reader with the most recent theoretical and empirical developments, and provides tools with which to analyze policy design.
The question is how to model the fact that an attribute is important?
Although these facts fit their model, their hypothesis still lacks direct experimental support.
We explain these facts using a new model of belief formation based on a portable formalization of the representativeness heuristic.
These facts can be well modelled with ontology classification techniques (see Fig. 1).
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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