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These suggestions fall into what I call a solution space: a cluster of solutions that share assumptions about what the problem is in this case, that the elevator is slow.
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Finally, we performed the following analysis: For a given cluster of solutions, we computed the probability of finding a given protein at any point in space (i.e., the localization density map).
The domain domain interaction map displays the frequency of contacts between every pair of domains for a given cluster of solutions.
When looking at Fig. 6, one notices a clustering of the solutions in certain regions of the classification parameters.
The relative-localization problem considered in this article is for a cluster of node, but the solution is not necessarily restricted to a single-hop cluster.
We represented the cluster of solutions by a localization density, defined as the probability of observing a particular subunit at a specific point in space in the cluster of solutions.
A new section entitled 'Selection of the cluster of solutions' has been added to the Materials and methods section.
Using this condition and the method of Horiuchi et al. (1995), we show that although the first-motion polarity data of individual events poorly constrain the focal mechanism solutions, a cluster of such events better constrains the faulting parameters when polarity data of these events are simultaneously used to derive the stress field that generated them (Fig. 5).
The chemical potential μ n of a cluster of size n in a solution is expressed via (2).
The most representative cluster of solutions, site M, was observed in more than 75% of the solutions from the TOP10 list (see Methods).
We represented the cluster of solutions by individual localization densities, defined as the probability of observing a specific eIF3 domain at a given point in space.
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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