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Differences between cells can be greater yet at the RNA level, even within seemingly uniform populations such as immune cells that have been purified on the basis of cell-surface markers.
Yet most DNA and RNA sequencing is performed on tissue samples or cell populations, in which biological differences between cells can be obscured by averaging or mistaken for technical noise.
In plants and other organisms that do not have a nervous system, modifications of the patterns of interactions between molecules and communication between cells can be stored in a way rather similar to neural networks29.
The load between cells can be adapted by Mobility Load Balancing (MLB) algorithms, and handover success rate can be adjusted automatically by Mobility Robustness Optimisation (MRO).
Last, it is assumed that distances between cells can be segregated into 1 µm increments (i.e. 1/10th cell width).
Recent evidence reveals that genetic exchange of mRNA and miRNA between cells can be accomplished through microvesicles, or exosome-mediated transfer [20].
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It was further speculated that the distance between interacting cells can be neglected [9, 67].
Lateral transfer of DNA between eucaryotic cells can be achieved by uptake of apoptotic bodies.
Thereby, both the filet bond between the honeycomb and the skin as well as the node bond between the honeycomb cells can be studied to determine their contribution to the movement of water throughout the structure.
Assume that the RRH BSs are well deployed such that their coverage has no obvious overlapping, therefore the interference between the RRH cells can be ignored.
We assume that there are inter-cell interference coordination (ICIC) schemes implemented in the macro cell tier, such as fractional frequency reuse (FFR); the interferences between different macro cells can be sufficiently avoided [17].
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