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It adopts the social welfare function from social sciences to compute energy welfare as a goodness measure for energy populations.
We can consider separately the low energy and the higher energy populations.
See Fig. 5 for a clear distinction between the two energy populations, see sample distributions 1, 2 and 4 of Fig. 3 for two-dimensional samples.
The samples are taken from the regions indicated with number 1 to 7 in Fig. 2. We have chosen to use differential flux for the colour scale rather than distribution function values, to emphasize high energy populations and provide a visual estimate of the flux.
The first is that the average low energy populations are close to Maxwellian, and whereas the bulk drift has a tailward component, the distributions show significant fluxes of sunward moving ions as well (i.e. see the sample distribution of Fig. 1 and examples 2, 3 and 6 of Fig. 3 for clear cases).
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The EIA observations of this low energy population extend only over a few tens of km.
A 6-item measure that assesses global work safety climate was validated using multiple samples each from a hospital and a nuclear energy population.
In our plan, we made it clear that MIT priorities overlap with issues of vital importance to Africa — in tackling critical challenges relating to the environment, climate change, energy, population growth, food, health, education, industry, and urbanization.
They showed that the lower energy population decreased with tailward distance, and the higher energy population increased.
The flux in the low energy population decreases, and the flux in the high energy population increases with tailward distance.
As a consequence, the asymmetry on dayside is reduced for the low energy population, but enhanced for the higher energy population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com