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Participants: three LIBRAS interpreters and two project team members Location: Digital Video Applications Lab (Lavid) at UFPB Agenda: Definition of translation rules Conclusions: Definition of a set of initial translation rules.
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The system is implemented as a self-learning fuzzy controller, with the rule conclusions being optimized by a genetic algorithm.
A side result is the definition of a backward mechanism that takes the complex structure of ∀∃-rule conclusions into account.
The resulting models can cautiously be interpreted on the level of individual amino acid residues, but as a rule conclusions should be confirmed by independent means, for example, by mutagenesis.
Results of estimation of predictive confirmation of all attributes (structure, surface active, and molecular ones) in rules induced for class good and weak are presented in Figures 2 and 3. Let us interpret a rule as a consequence relation " if E, then H," where E denotes rule premise and H rule conclusion.
What rules govern conclusions to be drawn from these datasets?
What rules govern conclusions from these data [sets]?
One of them is a realization of inference rules defining conclusions that can be obtained from premises.
Once found, rules with conclusions that are identical to the premises are sought.
The protocols for assessing evidence for or against a particular effect of exposure canonically consist of premises, rules, and conclusions.
The rules with conclusion "good" discriminate chlorides with "good" antimicrobial properties from those chlorides which have "medium" or "weak" properties (analogously for rules with conclusion "weak").
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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