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To show that the decision model is useful and applicable, required data can be gathered and analyses can be conducted; we present a real-world case where we applied the decision model and its prototypical implementation to the coverage switching processes of a German insurance broker pool company.
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The AGREE instrument was applicable, requiring minor adaptations.
Warranting that our findings are generally applicable requires analysing carefully selected microarray datasets, which cover a wide range of model organisms, experimental settings and measurement platforms and using several normalization and preprocessing methods.
The large quantity demands of high-quality quantum dots for advanced energy applications require an industrial applicable production method.
Together, these findings suggest that multi-layered, microfabricated PGS scaffolds may be applicable to myocardial repair applications requiring mechanical support, cell delivery and active implant contractility.
Fundamentally, Western ethical research principles were applicable, but required flexibility and culturally informed adaptations.
Because this was an economic model in which we used only previously published data to create a hypothetical patient pathway, ethical approval and informed consent were neither applicable nor required.
Trapping methods, on the other hand, are more generally applicable, but require care to avoid artifacts.
Standard mass movement typologies are broadly applicable, but require some refinement to characterise RSFs in a passive-margin glaciated mountain range comprised mainly of ancient metasediments.
The problem is that covariance matrices and symmetric positive definite (SPD) matrices in general is that they do not lie on the Euclidean space and many common and widely known operations in Euclidean spaces are not applicable or require to be adapted (e.g., a SPD matrix multiplied by a negative scalar is no longer a valid SPD matrix).
Furthermore, the condition (y_{n}^{i}in S_{n}^{i}) is more readily applicable than requiring that Tx is proximinal and weakly closed for each x, and then finding (y_{n}in Tx_{n}) such that (|y_{n}-x_{n}|=d(x_{n}, Tx_{n})) at each iterative step, as it is in [3] and in many other results.
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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