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To implement some of the unexplored abilities of this model the new capless LDO topology is proposed.
The forecasting abilities of this model are then scrutinized using an evaluation methodology which was designed recently, specifically for EWSs.
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In addition, the ability of this model to simulate the total absorption to within the resolution of a riometer will be demonstrated.
Two events of water-sediment regulation conducted in the Xiaolangdi Reservoir in 2004 and 2006 were simulated to test the ability of this model.
The predictive ability of this model was determined using a test set of 13 molecules that gave acceptable predictive correlation (r2Pred) values.
Furthermore, the predictive ability of this model was evaluated by external validation((n = 11, R2test = 0.72, and MAE = 0.170 log units).
The comparisons demonstrate the ability of this model to reproduce accurately the overall mechanical behavior of granular media and to account for the influence of key parameters such as void ratio and mean stress.
We evaluate the predictive ability of this model considering different scenarios of (a) periods of Pi diffusion at the solid-to-solution interface, and (b) contributions of the plow layer to plant nutrition.
In order to gauge the ability of this model to predict the stability and convergence properties of a realistic case, it is compared on a heated cylinder in a flowfield test case.
The prediction ability of this model has been checked for different types of composites oxidized in different atmospheres and generally the trends of the experimental reaction curves are relatively well followed.
The ability of this model to predict implant damage under multiple loading profiles by accounting for strain hardening makes it ideal for screening new implant designs, since implant kinematics are largely a function of the shape of the components.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com