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In view of all these largely different examples, we envisage that topological traps will have important, non-trivial effects in almost all dynamical processes on networks, going from physical and biological to social and economical applications.
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For example we envisage that engineering epitopes on GAD65 may pave the way for improved diagnostic tests for type 1 diabetes using a panel of antibodies as well as human sera.
For Argos, for example, we envisaged a circular business model built on the strapline Lease it.
In the previous worked example we envisaged that the pilot trial had 40 patients and measured the 3-month GH dimension score.
For example, we can envisage the web becoming the first source of information on bus timetables or council collections, and even doctor or hospital appointments being handled by a Web applications.
For example, we can envisage a computer package that provided with the dimensions, type, and cut of a piece of meat can suggest a range of different cooking methods (times and temperatures and even temperature profiles) that will give a range of different textures, colors, and flavors in the finished product.
Note that (1.1) is indispensable because we envisage examples in which K : X × X → [ 0, ∞ ] has singularity at the diagonal.
We envisage, for example, initiatives that use genomics to characterize the identity and physiological impact of environmental toxins, to enhance newborn screening directed at early interventions, and to target scarce medical resources to the most at risk individuals and those most likely to respond to treatment.
The text capture shown in Figure 2 below is an example of our spatiotemporal zoning of the type we envisage in this article.
Of note, our risk score was constructed to capitalize on the types of data available in electronic patient records; we envisage that it could, for example, be incorporated into routine reports of positive CDI test results (if validated).
As we demonstrated using a real data example, our method can feasibly be applied to genome-wide SNP data, and this is the setting in which we envisage it will be used.
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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