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Using two examples, we explain an optimum design method for digital logic gates based on SEDs.
Through case examples, we explain how to do a capabilities audit, which provides a high-level picture of an organization's strengths and areas for improvement.
By taking Sn-doped and Ca-doped BaTiO3 as examples, we explain how dopants change the microstructure and properties of ferroelectric materials from the aspects of cutting down Coulomb field and lattice strains.
With the help of short examples we explain how the functions can be used within an R-session.
In Section 4, where the matrix-based algorithms PAST [7] and FAPI [6] are used as examples, we explain explicitly how real-valued tensor-based subspace tracking based on the TeTraKron framework is performed.
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Taking muscarinic acetylcholine receptors (MAChRs) as representative examples we explained, how GPCRs can be modulated in a ligand dependent and predictable manner.
By using simple estimation problems for our example, we explain when and how to use such sampling algorithms for designing adaptive learning algorithms.
By using a running software product line example, we explain why the core traceability paths identified are needed when navigating from feature to structural models and from family to product level and backward between models used in software product derivation.
As an example, we explain how to find an occurrence of the pattern "execut" in the text "feexecutingprogram" with difference k equals to 0. This case represents an exact match.
Based on this example, we explain the method in the subsequent section.
For example, we explain in more detail the experimental and control stimuli we used and the rationale for choosing them.
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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