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Unchanged expression of EIF4E was found in an IL-6 influenced network demonstrating evidence for vastly up regulated IL-6 receptor and STAT3 (Fig. 4 and supplemental data set S4). Intriguingly, this network analysis of the Affymetrix array also included a 5-fold increase of the pri-microRNA transcript of mir-21 in ICU patients and microRNAs are selective regulators of protein synthesis [46].
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This would give us a better understanding of the factors influencing network size and diversity.
This implied that adopting a different distribution function would likely be to influence network performances.
In conclusion, electrotonic effects reflecting different dendritic positions of synaptic inputs significantly influence network dynamics.
Theoretical arguments further support the notion that brain network topology and spatial embedding should strongly influence network dynamics.
Topology, routing algorithm, and router structure are among the most important factors that greatly influence network performance.
This diversity also requires a thorough understanding of the relationship between these areas and how they influence network system design.
Another interesting result that emerged from these tests is that with respect to the ability to influence network metrics, both strategies HIGH and LOW could be effective.
Is it possible indeed to influence network connectivity using single pulse stimulation at a low frequency?
How do they influence network dynamics and behavioral output?
Other organizations in the local network can also influence network implementation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com