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.
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 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.
The results also highlight that multiple models achieve comparable predictive power and are, thus, difficult to exactly discriminate from the data.
Cursory comparisons suggest that this model achieves accuracy comparable to or better than several commercial odds-makers, despite this model knowing nothing about teams, players, or strategies, and instead relying exclusively on the observed tempo and balance patterns in scoring events.
We also compare the proposed model with several other state-of-the-art segmentation models through simulation benchmarking, which shows that our efficient implementation achieves comparable or better sensitivity and specificity in genomic segmentation.
The proposed model has been compared with several other state-of-the-art segmentation models through simulation benchmarking, which shows that our efficient implementation achieves comparable or better sensitivity and specificity in genomic segmentation.
Simple models can achieve comparable or even better performance than complex models.
The proposed model has been compared with several other state-of-the-art segmentation methods; our implementation is efficient and achieves comparable or better sensitivity and specificity in genomic segmentation.
