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Simulation and real data examples are used to illustrate the performance of the proposed approach.
Based on their cross-linguistic data (examples are given from about 21 languages), they argue for a universal classification of existential clauses as a sub-type of relational processes.
The VarEff software and data examples are available at http://cran.r-project.org/web/packages/VarEff.org/web/packages/VarEff
Often tables of hypothetical as well as real data examples are presented.
Finally, real data examples are showed to make sure that our methods are still better the others.
A final HTML report is created providing information on the characteristics of the alignments and data (examples are again provided at the pipeline's website).
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Along this line of research, new approaches are expanding to implement flow cytometry data, examples being fate mapping studies, functional assays, and genome-wide analyses (79– 82).
The data example are shown in Table 3.
An empirical data example is presented to show how the frameworks compare in practice.
Following an adaptive two-stage design of O'Brien and Fleming (1979) type, a real data example is worked out in detail.
To illustrate the application of an IRT growth model, a real data example is provided below concerning an important question in literacy/language development.
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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