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As a part of the study we provide detailed material characterization of networks formed by the PDMS PVMS and PVMS-SH chains.
The analysis on the contextual gene sets and characterization of networks of interaction composed of these sets discovered distinct functional differences underlying various types of cancer.
In particular, we concentrated our analysis on the following aspects: (i) characterization of the temporal profiles of expression, (ii) comparison with human data, (iii) characterization of networks of coregulated genes, and iv) localization of cells expressing differentially expressed genes in the brain of both adult N. furzeri and zebrafish embryos.
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However, the slow process of in vivo characterization of network function often limits the timescale of the testing step.
Experimental characterization of network properties, such as the density of crosslinked chains, involves the use of approximate models with uncertain parameters leading, consequently, to uncertainties in resulting properties.
Identification of functional dependence among neurons is a necessary component in both the rational design of neural prostheses as well as in the characterization of network physiology.
Real-time characterization of network traffic anomalies, such as heavy hitters and heavy changers, is critical for the robustness of operational networks, but its accuracy and scalability are challenged by the ever-increasing volume and diversity of network traffic.
Simulations show that the latency insensitive network allows excellent characterization of network performance in terms of the cost of routing, amount of blocking due to congestion, and message buffering.
Here we adopt the characterization of network core-periphery which results from k-shell decomposition, a well-established technique in graph theory that is summarized in, for instance, [41].
It is conceivable that systematic characterization of network dynamics may eventually lead to better understanding of how ketamine induces unconsciousness and consequently alters the conscious mind.
In the future, PRV369 should prove useful for studying local circuits in which multiple connected neurons are visible within the same field of view, allowing noninvasive and simultaneous characterization of network activity in multiple cells.
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CEO of Professional Science Editing for Scientists @ prosciediting.com