Exact(47)
The panels in Fig. 4 show a comparison of the ionosonde-derived and the GPS-reconstructed seasonal averaged NmF2 with the modeled (used here the IRI-2007 moutputstputs) F2-peak density for the three stations; SL (top panel), FZ (middle panel) and CP (bottom panel).
The modeled footprints obtained with "AschFlow" were compared with the modeled classes in the Flow-R model.
Calculations were conditioned to the facies model developed previously and run with the modeled porosity values and secondly with a set porosity of 0.181, an average from the core analysis reports.
The experimental results of this project were compared with the modeled ones indicating the efficiency of the proposed model to estimate the optimal process conditions in fabrication of the nano-composite via casting.
Additionally, a degree of uncertainty is associated with the modeled estimates given that they depend both on the structure of the model and on assumptions regarding key parameters which cannot always be determined directly from data for a specific country of interest.
In contrast to this, the observed θmax from BOs and θmin from DENFs and DITF in Sauerlach Th2 correlate well with the modeled stress orientations and confirm the stress conditions assumed for modeling (Figure 6/Sauerlach Th2).
Similar(13)
For pathway analysis, the BioCarta (http://www.biocarta.com) and Reactome (http://www.reactome.org) databases were searched with the modeled-based gene set analysis (MGSA) that analyzes all categories at once by embedding them in a Bayesian network in which gene response is modelled as a function of the activation of the categories [ 10, 11].
Consistent with observational data, the modeled plume has seasonal variation dependent on monsoon conditions.
The cross-section of the meshes with refinement on the modeled train surfaces and surrounding areas are shown in Fig. 7.
One question still to be resolved is the disposition of the first helix of the β2-adaptin trunk, which collides sterically with Nef in the modeled conformation.
The variance decomposition method enables to decompose noise associated with uncertainty of the modeled output into components related to different reactions [ 31, 63].
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