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The suggestion is that solving these tasks requires thinking in one's natural language and that some of the crucial concepts must be couched linguistically (Hermer-Vazquez, Spelke, & Katsnelson 2001; Shusterman & Spelke 2005; Carruthers 2002).
On our course, we set aside time slots for solving these tasks during the third, fourth, and fifth day (see timetable of our course manual; File S1).
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Unlike the simplified tasks, humans use multiple solutions to solve these tasks, often switching between these solutions within trials.
In order to solve these tasks, we devise two constraint propagation algorithms and a Branch & Bound algorithm.
"The best way to solve these tasks is to view hundreds of these lines you have to gain experience," says Maddox.
Monkeys appear to employ pSTM to solve these tasks, as evidenced by the impact of interfering stimuli on memory performance.
In this paper we formulate and solve these tasks as utility maximisation problems under different traffic regimes, for the first time in the mmWave context.
During these online HTL tasks, OTL assumes that the feature space of the source is a subset of the target domain and the procedure to solve these tasks is as follows.
To solve these tasks, it has been having to know the physical, biological and chemical characteristics on the one hand, and we have to search for law of material and possibility for modelling to estimate and forecast the probable subsidence of the surface on the other hand.
Any cursory examination of the resources needed to solve these tasks would most likely reveal NP-Complete computational complexity [5].
To solve these tasks, participants were required to identify patterns of nonverbal symbols.
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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