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We assessed the significance of the difference in test performance by using a likelihood ratio test comparing models with and without covariate terms for accuracy at equivalent thresholds.
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We did not use keywords or indexing terms for diagnostic accuracy to avoid missing relevant studies.
These models are evaluated according to a scoring function that incorporates terms for classification accuracy on annotated data, and relative cluster separation in unannotated data.
In fact, the future tense of action and state verbs mapped with the right space in terms of both RTs and accuracy; on the other hand, a significant mapping of past tense with the left and of future tense with the right space was still present in terms of accuracy for non-verbs, i.e. for stimuli that do not activate semantic processes.
There was no significant interaction between age group and retention in terms of accuracy for both tasks and in speed for the judgment task; however, there was a significant interaction in terms of speed in the production task (F2,20 = 3.85, P = .0386), indicating that 8-year-olds showed less retention of speed gains in the production task compared to the older learners (Fig. 2).
In terms of accuracy for acceleration measurements along this axis this corresponds to ({le}1 mbox{ (pm s}^{-2}mboxsqrt{mbox{Hz}}).
Percent recovery in terms of accuracy for the prepared valsartan nanoparticles was found in the range of 98.57 100.27%.
Percent recoveries in terms of accuracy for both drugs at all three levels was found in the range of 99.15 101.86%.
Based on the numerical results given in Section 5, it has been concluded that the obtained results are excellent in terms of accuracy for all tested problems.
We address this trade-off by testing system performance in terms of accuracy for different interval lengths and different system configurations.
Percent recoveries in terms of accuracy for the marketed formulation were found to be 98.35 99.76%, 99.36 99.65%, and 99.16 100.25% for nadifloxacin, mometasone furoate, and miconazole nitrate, respectively.
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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