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The interaction of discourse type with familiarity level showed that the less familiar magnet task was more difficult for both groups, but this did not hold for the narratives.
To maximize differences in familiarity and minimize any label ambiguities resulting from the subjective familiarity scores, only the data from the listening session with the most (i.e., familiarity level 6) and least (i.e., familiarity level 1) familiar samples in our dataset were used to perform the analysis.
First, we advise designers design interface signs based on users' familiarity level with ontologies.
To measure this, we separated EEG signals into two groups in accordance with familiarity level (low and high).
We demonstrated that classifying emotion using typical algorithms can benefit from controlling the familiarity level of the subject to musical stimuli.
In summary, an eligible worker should meet three conditions: (1) has quota to answer the question; (2) has high probability to answer a question before the due time; and (3) has relatively high familiarity level with the query regions.
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Table 1 shows differences in the familiarity levels and quality levels between journals.
Hence, we defined the number of replications as the minimum size of the available dataset across subjects and familiarity levels, and we aggregated data from each subject by randomly selecting available data up to the replication number.
We conducted an additional experiment using music familiarity in an attempt to recognize emotional states; our empirical results suggested that the use of only songs with low familiarity levels can enhance the performance of EEG-based emotion classification systems that adopt fractal dimension or power spectral density features and support vector machine, multilayer perceptron or C4.5 classifier.
Since a worker's knowledge is hard to quantify exactly, we propose to use four familiarity levels to assess the worker's knowledge: (1) has no idea of the area; (2) have heard the area but never been there; (3) have visited the area several times; and (4) knows this area very well (local resident).
There was a difference between the two discourse types, F (1, 43) = 6.40, p =.01, and the two familiarity levels, F (1, 43) = 5.14, p =.03, that needs to be understood in terms of a significant two-way interaction of type and familiarity, F (1, 43) = 45.85, p <.0001.
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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