The established model effectively predicts the complex behavior related to dual-peak phenomenon in regard to pre-stress, bias magnetic field, frequency of the alternating magnetic field, and nonlinear mechanical loss, and explains the origin of the dual peaks.
Objectives of this study were to examine the feasibility of assessing reoperation rates at 182 hospitals to identify institutions with outlying performance, to examine potentially modifiable factors that are associated with reoperations, and to determine if a more parsimonious logistic regression model effectively predicts reoperations.
However, we show that the phenomenological model effectively predicts the large-scale behavior of the IBM simulation when parameters are matched.
Nonetheless, the model effectively predicts the length of time nanoparticles remain in the body in each organ, which is of greater importance in designing dosage regimes.
These simple models effectively predicted growth and body composition under a narrow range of environmental conditions.
NPVs ranged from 73-100%, indicating that the absence of most of the symptoms modeled effectively predicted the absence of influenza infection; the at-least-1-criterion test, at-least-2-criteria test, and "cough + any of other 3 criteria" test could all be utilized to exclude influenza (NPV >90%), eliminating the need for a follow-up rapid or laboratory-based test.
Both models effectively predict many of the active agents, with approximately a third of the active agents (sensitivity ~0.33) occurring in the top 10percentt of predictions (1-specificity ~0.1) when both two and three-predicate pathways are considered.
Compared this model with other prediction models, this water breakthrough time prediction model can effectively predict the water breakthrough time for high-sulfur gas reservoir with edge water, and the trend is closer.
