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NETs are common to several other inflammatory disease states, but to our knowledge, NET structures, per se, have not been reported in patients with RA or in murine models of disease.
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Procedural competence subsumes the application of knowledge, that is, how to operate with facts, structures, knowledge nets, and their corresponding elements.
We must not insist that our imperfect knowledge nets capture all truth.
Table 1 provides a description of the Knowledge-Net dataset.
Tables 4 and 5 indicate the major invisible rapids and brooks observed in Knowledge-Net.
In particular, we focus on data extracted from [19], here referred to as Knowledge-Net.
Fig. 1 A small portion of Knowledge-Net represented as a TVG.
An example of this construction is shown in Fig. 2. Note that Knowledge-Net, over time, creates only one connected component, but the community analysis of the Knowledge-Net graph results in 14 communities.
An example of a small portion of Knowledge-Net represented as a TVG is shown in Fig. 1.
Instead of simply observing the static network over consecutive time intervals, we focus on the TVG that represent Knowledge-Net and we compute foremost betweenness, explicitly and globally taking time into account.
Classical statistical parameters have been calculated for Knowledge-Net, representing it as a static graph where the time of appearance of nodes and edges did not hold any particular meaning.
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