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Our experience with requestors indicates that many of them are not interested in utilizing complex terminology structures and prefer directly enumerating concepts of interests for a given scenario step.
In ICN, end-users express their interests for a given content by sending content requests, and the entire network is responsible for routing the requests based only on the content name towards the best content caches and delivering the content through the reverse paths to the end-users [6].
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This representation is convenient to calculate similarities between users and documents, as well as for quickly describing the interests of a given user or the contents of a given document.
Public interest for a given species was estimated through the number of web page results, a proxy that has been proven to be reliable22.
Instantiated statistical volume elements (SVEs), which sample the distributed microstructure attributes of interest for a given material system, can be simulated via the finite element method with embedded polycrystalline plasticity models to estimate the distributed plasticity and resulting FIPs.
After squaring the distance for each question of interest for a given individual (i) vs. external truth, then add together these values to produce a sum of squares error.
After squaring the distance for each question of interest for a given individual (i) vs. consensus of the crowd, then add together these values to produce a sum of squares error.
Besides, the user interest for a given spot may change as network operates and the interest difference may appear for physically close users.
While this may be sufficiently low to host galaxies of the masses of interest for a given application this does not mean that the physical properties of such galaxies are converged.
The resolvability of closely spaced signals, in terms of parameter of interest, for a given scenario (e.g., for a given signal-to-noise ratio (SNR), for a given number of snapshots and/or for a given number of sensors) is a former and challenging problem which was recently updated by Smith [11], Shahram and Milanfar [12], Liu and Nehorai [13], and Amar and Weiss [14].
It consists of associating a score to a target node of interest for a given network, that will quantify the effect of experimental data.
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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