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Factor analyses were used to generate summary and change scores from Time 1 to Time 2. A between-subject design was used to examine changes across the deployment cycle with deployment (low-trauma, high-trauma, and non-deployed) and social support (low vs. high) as the grouping variables.
Random effects models were used to generate summary statistics where heterogeneity was weak or moderate.
Additional file 2c shows the number of genomes in each category used to generate summary attributes.
We used Access 2000 (Microsoft Corp., Redmond, WA) to maintain data and generate summary reports.
We used Qualimap (v0.8.1) to generate summary statistics of the alignment files of interest [ 51].
The results were combined to generate summary odds ratios (ORs) and 95% confidence intervals (CI).
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They then select science-related articles from The New York Times and, with a partner, generate summaries of the longer pieces.
The experimental results demonstrate that our proposed summarization approach is able to generate summaries effectively, and those generated summaries are perceived as helpful to support mobile learning.
Moreno et al. [47] proposed a technique to generate summaries for Java classes, in which their intentions are described briefly.
McBurney and McMillan [48] proposed a technique to generate summaries for API methods instead of API classes, and Sridhara et al. [49] to generate comments for method parameters.
A number of summarization techniques are proposed to generate summaries by extracting the important sentences from the given collection of documents.
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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