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But which of these task is it that makes Scrabble hard?
Buchon: I was unaware of these task forces before I came to Cornell, but it was already striking to me that Cornell is probably the most collaborative environment I've encountered.
However, the growing number of cores, the distributed nature of dDTM and the inherent sampling-based nature of traditional analysis techniques, like simulation and emulation, makes a complete and rigorous analysis of these task migration algorithms almost impossible.
Each of these task types helps to provide evidence of our ELLs speaking abilities, as each of the speaking tasks offers some unique (albeit sometimes overlapping) information.
To further reduce the effort in constructing task models, we have developed tools and techniques for automating the development and maintenance of these task models using fine-grained log of behavior demonstration by multiple experts (Kumar et al., 2014).
Therefore, to make comparability possible between potential of these task types in language engagement reported in the literature and their potential in task engagement investigated in this research, the same tasks were selected to be included in the present study.
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The TOF-SIMS analysis of these task-specific ILs (TSILs) was carried out in both positive and negative polarity.
None of these tasks is insurmountable.
None of these tasks is simple.
Each of these tasks was, of course, impossible.
All of these tasks involve hand labor.
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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