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After clarifying the potential of combining text mining and foresight, examples are outlined for roadmapping and scenario development.
Examples are outlined below.
In Table 1, these examples are outlined point-by-point, summarizing relevant information about subjects and materials (e.g., number and age of animals, and reinforcer used).> -wrap-foot> Task Name of the experiment performed.
Examples are outlined further below, with recognition that precise applications of these social efficacy promotion efforts may vary depending on the maturity of the other health service delivery interventions and context of the local health system.
Examples of potentially important resource consequences that should be considered include changes in the use of healthcare resources, non-healthcare resources, and patient and informal caregiver time (these and others examples are outlined in Table 2).
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A classification summary of the most frequently occurring significant event codes with examples is outlined in Table 2. Events involving disease diagnoses and/or disease management (46, 24.1%) along with prescribing issues (46, 24.1%) were the most common subjects for analysis.
A procedure and sample example is outlined to estimate the magnitude of the non-locality parameter by comparing the dispersion relation with lattice dynamics.
A numerical example is outlined to demonstrate the application of the proposed method to the selection of management scenarios of drilling wastes.
Examples and benefits are outlined for each strategy.
Real application examples and implementation methodology are outlined.
Some notable recent examples from cereal crops are outlined in the following sections.
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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