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This is significant in that no two cells, whether within the same aggregate, or between two aggregates, can be assumed to be experiencing the same microenvironment.
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In this article, a numerical computation of magnetic forces between an aggregate and a nanoparticle and between two aggregates is shown.
The magnetic forces between two aggregates were computed either by summation of the magnetic force between every nanoparticle in the first aggregate and every nanoparticle in the second aggregate (when the ratio LD/R0 expresses distance between the aggregates was lower than 15 [20]), or by the averaging of the first and second aggregates.
However, the mechanisms of governing these differences between the two aggregates were unknown.
The increasing gap between these two aggregates is in stark contrast to trends in the G-20.
As discussed above (item 4), the fact that a causal relation between two variables can be detected within persons but are not observed when data are aggregated should caution against methods that rely exclusively upon indices of group differences.
As a consequence, the forces are computed numerically, either as a sum of magnetic forces between every nanoparticle in one aggregate with every nanoparticle in second aggregate or as one magnetic force between two averaged aggregates.
The variation between the two aggregate responses indicates the correct answer.
or as one magnetic force between two averaged aggregates [20].
The workability change according to the dimension of aggregates can be related to the relationship between viscosity and the mean size of the fine aggregate sample.
Aggregates can have other aggregates as parts.
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