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In contrast to previous models which required two state descriptions of diffusion for long- and short-term release processes, our model is valid for the entire release process.
Also, in DNA damage response processes, our model suggests that bistability, which is generated from autophosphorylation, amplifies transient damage signals (DSBs and DSBCs), and sustains the active state in the presence of DSB and DSBC noise.
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With inclusion of such a process, our model shows the expected behavior.
We are the first to show that AVC is a dynamic and a reversible process, our model enables continuous assessment of the molecular and inflammatory processes involving AVC.
The primary data processed by our model are the number of deletions and amplifications in each sample that are obtained from a pre-processing of the aCGH signals.
However, the incorporation of actual translation processes into our model gives us detailed information on the translation-initiation process.
By properly understanding the rate-determining processes using our model, one can determine the design principle for high-performance hydrogen-storage systems.
The key construction processes of our model which include initialization, data appending, scale expansion, data query and verification, are also given in this paper.
These two processes differentiated our model from the model of Yu et al. (2012) in a way that test takers applied these two subprocesses (e.g., underlining and self-questioning) to identify more elements in the instruction and relate those elements with their memory representations of what the instruction conveyed.
The noisy nature of the ORN signalling, instantiated by independent Poisson processes in our model, and the different initial conditions of the LNs can thus lead to a significant number of errors in recognising the correct ratio.
To attain this balance, whenever possible, we have chosen to favor parsimony in describing the biological processes in our model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com