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We found that for the figure ranking task different articles favor different approaches quite differently, and some approach can perform much better or much worse on certain subsets of articles, implying that a customized figure ranking model should be considered to address the challenging diversity of bioscience articles.
Within this task, different activities were performed.
For such a task, different existing computer-aided fold-crack evaluation approaches were analyzed.
Of course, as soon as they embarked on the task different behaviours were observed.
In this task, different land use categories need to be allocated according to multiple criteria.
When carrying out the same task, different designers may need individual strategies to fulfill their own demands.
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They also found that the improvement seemed to carry over to surgical tasks different from those used in the warm-up.
Like classroom tasks, different PD tasks provide different opportunities for teachers to learn about classroom interactions and instructional practices.
The proposed method is evaluated on different learning tasks, different data sets as well as different SVM algorithms.
In both attentional tasks, different word targets elicited an N400 component, as predicted based on previous results.
Thus, for the two tasks different types of motor units (with different velocities) may be activated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com