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The results of this case study indicate that the three CFD-DEM models achieved comparable results for simulating soil erosion from an engineering perspective, however, the differences between these models, which originate from their underlying physics assumptions, must be kept in mind in selecting an appropriate simulation model as well as in comparing the results from different models.
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The bias values (MBE) highlight that the four models exhibit a tendency to underestimate global irradiance values compared to the experimental data and that the four models achieve comparable values of R2.
The bias values (MBE) highlight that the four models exhibit a tendency to underestimate global irradiance values compared with the experimental data and that the four models achieve comparable values of R2.
The results also highlight that multiple models achieve comparable predictive power and are, thus, difficult to exactly discriminate from the data.
77 Supporting the efficacy of task-shifting to nurse-managed care, a randomized non-inferiority trial in Uganda found that a nurse peer model achieved comparable rates of adherence, viral load, and CD4 counts compared to standard clinician-based care.
By systematically analyzing practical sea clutter data under different sea environments, we demonstrate that the proposed model achieves comparable fitting effect to some commonly used statistical models.
Simple models can achieve comparable or even better performance than complex models.
We found that the HSL model trained based on yeast achieved comparable accuracy in predicting TRRs in other species, thus demonstrating the conservation of TRRs across species.
The HSL model trained based on yeast achieved comparable accuracy in predicting TRRs in other species, e.g., fruit fly, human, and rice, thus demonstrating the conservation of TRRs across species.
For example, Zhu et al. [10] developed five QSAR models for 7385 compounds with rat oral acute toxicity data, and the two models developed by kNN and RF achieved comparable performance for the test set (r 2 = 0.66 and 0.70, respectively) to TOPKAT.
Again, models using pRC as an additional predictor achieved comparable or better performance at all time points.
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