This note reveals that such a GCI and the GCI-IOWGA operator as well as the associated weight determination method are questionable.
The tuning and optimization of the associated precise orbit determination process is work in progress and a topic for further research.
The associated coefficient of determination (R 2) is 0.99 for d and 0.88 for W f, which indicate that the power-law correlation fitting the depth data perfectly, and there is a 12% deviation for the width data.
This approach and the resultant costs reflect those presented by Wang et al. [13, 14], however the alternative data source for the 33 35 wGA subgroup results in a significantly different sequelae-associated determination of resources compared to the other subgroups.
We find that the associated error in the determination of the principal values mostly lies below 1% when computed for published experimental data on sandstones and limestones.
Identification of the morphology of the nanoscale structural phase separation enables determination of the associated length scales, which we compare with the Ginzburg-Landau coherence length.
Previously, the separation of the two roughness scales and determination of the associated wavelength, which are necessary for predicting adhesion forces, relied on visual selection.
The definition of such models usually requires the execution of various experimental tests for the determination of the associated material parameters, constituting a significant cost/effort in terms of characterization.
The following topics are addressed: (i) assumed properties of an inadvertent drilling intrusion and the determination of the associated dose and expected (mean) dose to the RMEI, (ii) uncertainty and sensitivity analysis results for expected dose to the RMEI, and (iii) the numerical stability of the sampling-based procedure used to estimate expected (mean) dose to the RMEI.
However, no effective method is available yet for the determination of the associated model parameters such as the tortuosity factor q. Considering the analogy between water flow and electrical current flow in a porous medium, in this study, we proposed to improve the predictive capability of statistical models by determining the tortuosity factor q using electrical conductivity (EC) measurements.
