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OSEM (5 iterations, 15 subsets) with full Monte Carlo collimator modelling is quantitatively the optimal image reconstruction for post-SIRT 90Y Bremsstrahlung SPECT/CT imaging.
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The model is quantitatively validated under stationary conditions for both hydrodynamic and thermal aspects.
Using structural equation modeling, a conceptual model is quantitatively tested among 1218 representatives of small and medium-sized businesses.
The results show that the performance of the proposed model is quantitatively better than the other compared models.
The new model is quantitatively illustrated and compared with the existing model for two sample cases of composite panel-flange joints.
The model is quantitatively validated by phase-field simulations for succinonitrile acetone alloys and compared with experimental results using time-averaged dendrite arm migrating velocities.
The proposed cohesive zone model is quantitatively capable of describing fatigue failure in soldered joints, which can be further extended to a numerical life-time prediction tool in microelectronic packages.
The immersed free surface model is quantitatively validated through the simulation of a sphere moving across a free surface and the simulation of two spheres moving along a free surface.
The Bingham model is quantitatively expressed as follow, uptau = uptau_{text{B}} + upeta_{pl} times dot{gamma }. (2 where η pl is the plastic viscosity that is determined by the slope of the curve, and τB is the Bingham yield stress estimated from the intercept of the flow curve at high shear rate regime.
The chief aim of the reported modeling is quantitatively consistent explanation of experiments conducted previously and design of new experiments, whose results are also presented here.
Ideally, we would hope to parameterize the model with data from dragons and prey to see if the model is quantitatively plausible, but that is not currently possible because so little is known about the natural history of these lizards and their oral flora.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com