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And with that, we've set up a grid we can hand off to Kevin and Paolo to fill!
Since we know there are only 12 letters in the grid, we can eliminate EIGHT since that has a G. So, 7Across is THREE Vs.
2) Coverage of Maps and Gap Analysis If we partition our data into a geographic grid, we can use our coverage measures to assess overall coverage of a region and identify gaps in coverage.
For each neuron on the grid we can find out the location of its receptive field center in visual space (as defined by its center-of-mass).
In addition, provided our focus is on the effects of additive measurement error, (not the case for proportional measurement error), and our time-series analysis adjusts for grid, we can simplify calculations by setting the grid-specific constant terms c i = c for all i = 1, …, 100.
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Given the distribution of radio fingerprints on grids, we can effectively estimate the cell coverage, as shown in Figure 4.
If you're in a community off-grid, we can develop what we call our guild of all these different people, or our tribe.
From off-grid LED lighting to "Skinny Grids," we can now provide energy access with a fraction of the amount of power we used to need.
By optimizing coarse grid structure we can improve accuracy of the coarse scale simulation results to reproduce fine grid behavior.
By multiplying the probabilities of VP and VS for all grid cells, we can obtain the total joint probability for the observed velocities VP and VS for all grid cells as p ( V P, V S | ϕ, α ) = ∏ i = 1 N p ( V P i | ϕ i, α i ) · p ( V S i | ϕ i, α i ), (4).
In addition, owing to the adaptive grid algorithm we can resolve complex interface changes and interfaces of high curvature efficiently and accurately.
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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