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Our results showed that methimazole-treated rats performed more poorly when retention was tested at long-term (24 h and 7 days) retention interval.
LR is a simple algorithm of linear logic generally considered weak in depicting nonlinear phenomena like the ones involved in AQ problems, and usually performing more poorly when compared with algorithms like ANNs or RF [1].
Here, our results provide suggestive evidence that some genotypes adapt more poorly when sleep deprivation is used to switch from days to nights and vice versa, but that this same strategy enhances adaptation for other genotypes.
The autism group performed more poorly when the dative expression could syntactically alternate than when it was restricted.
They also thought their symptoms were more noticeable and that they had performed more poorly when they held the negative image in mind.
Performance on a task was similar while the groups were sober, but students with a history of blackouts performed more poorly when intoxicated than those without a history of blackouts.
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Furthermore, if reduced visuomotor processing speed influenced our results, one would expect reaction times to be slower when participants performed more poorly, that is when DBS was switched ON.
For example, a study on chess players revealed that female players performed more poorly than expected when they were told they would be playing against a male opponent.
In the male group, no difference was observed in main metabolic parameters between subjects with and without myocardial ischemia, while in female group, subjects with myocardial ischemia were more obese and had more poorly controlled glucose when compared to those without ischemia.
In contrast, double mutants involving brc1Δ and msh2Δ or cbp1Δ grew more poorly than single mutants when tested in the presence of genotoxins.
Wild-type cells carrying Sch92D3E grew more poorly on rapamycin plates when Sch92D3E was expressed compared with control vector, although the significance of this growth defect is currently unknown.
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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