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They are of vital importance for generating predictions of systems behavior based on hypothesized mechanisms.
From single regulators to complex mRNPs to genome-wide studies, research on RBP-mediated regulation has evolved in highly complementary, parallel directions that promise to converge to allow accurate predictions of systems behavior.
The approach of this present study was to build an integrated network model system comprised of high-throughput genomic data along with associated computational analysis that would enable predictions of systems level view of normal and aberrant genes, their connections and their functions- to elucidate the underlying molecular mechanisms.
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We highlight the need to incorporate geomorphic characteristics of a system into project design and predictions of system response.
Predictions of system response to this magnitude of injection are expected to have greater uncertainty and risk.
Reliable predictions of system-level properties are achieved and the parameters that mostly affect these properties are found out.
In this respect, simulation-based approaches have proven to be effective to obtain quantitative predictions of system performance.
Used as an input to prediction models, the parameters provide helpful information for system design and optimization, but not general predictions of system usability and acceptability.
MELCOR predictions of system response were obtained for steady-state, pressurized conduction cool-down (PCC), and depressurized conduction cool-down (DCC) scenarios.
The results highlight the importance of including representative member and connection models as well as realistic boundary conditions, while employing 3-D simulations, for accurate predictions of system response.
However, the uncertainty inherent in the relationship between (i) the observations of atmospherically-derived tracers that are required to calibrate such models and (ii) the predictions of system age that the observations inform have not been investigated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com