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This paper attempts to verify this inconsistency while at the same time focuses on how the students are being assessed by the PBLab facilitators using the assessment rubrics as a possible factor contributing to this inconsistency.
One factor contributing to this inconsistency may be the greater environmental stability of deep-sea environments, effectively removing taxonomic "noise" contributed by phenotypic plasticity.
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Reports related to sex differences during fear learning and extinction are often inconsistent, highlighting the need to examine biological factors that may contribute to this inconsistency [ 22– 27].
It is possible that the limited number of states included in the analysis contributed to this inconsistency.
Heterogeneity in study approaches may also contribute to this inconsistency.
A number of factors may contribute to this inconsistency.
However, administration of metronidazole may also contribute to this inconsistency in some extent.
A number of factors may have contributed to this inconsistency, the most important being the dramatic improvement in assay methodology over the time these studies were conducted.
At least three conditions may have contributed to this inconsistency, numbers of nuclei, correlation between features, and biologic heterogeneity between ducts/fields.
Possibly, the use of different panels to identify CIMP-high (a "classic" panel [ 17] or a new panel [ 18, 39] which may be more robust [ 2]) may have contributed to this inconsistency.
Using classical propositional logic, we develop methods to characterise when a formula is contributing to the inconsistency in a knowledge base and when a set of formulas can be regarded as a primitive conflict.
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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