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Differences in all-cause total health care costs were compared between the cohorts (ie, by pregabalin/duloxetine and DDI status) via difference-in-differences (DID) analyses, utilizing the model-based LS means estimates and corresponding standard errors, as follows: DID = (DDI present − DDI absent in the pregabalin cohort ) − (DDI present − DDI absent in the duloxetine cohort ).
At the next time step, cost function is optimized utilizing the MILP model based on updated input parameters, including real-time price (RTP), newly forecast ambient temperature, updated future wind power output, previous step generated data T r, etc., and generates a new set of parameters for next control window.
Utilizing the model as a knowledge base, a service recommendation system prototype is developed.
The transport and reaction performances of the reactor are numerically studied utilizing heterogeneous model based on the whole reactor.
Overall reaction rates in the fluidized-bed system are also compared to those predicted for a slurry bubble column utilizing a model based on sedimentation and dispersion of the solids.
Besides, Asfar et al. [ 46] utilized the network modeling based on the Ingenuity Pathway Anallysis (IPA) Software which considers the microarray datasets at different time points to understand central synergy mechanisms for the combination of MI219 and oxaliplatin.
Brooks et al. [14] proposed an algorithm that would detect the node replication attacks by utilizing a statistical model based on the occurrence number of keys used to authenticate the nodes in wireless sensor networks, but the method can only be applied successfully with certain random key pre-distribution schemes.
However, unlike DCS, this study did not utilize a model based fitting to decouple the effects of absorption and scattering from the dynamics, and, therefore, did not extract a quantitative estimate of blood flow.
The proposed control approach combines the internal model control and robust inversion based 2DOF control, it utilizes internal model based control to reject external disturbance, utilizes robust inversion 2DOF control to enhance the control resolution and guarantee the system control performance.
They utilized system dynamic model based on the cause-and-effect analysis and feedback loop structures.
Genome size prediction was carried out using the software GCE version 1.0.0, which utilizes a Bayes model based method (Liu et al. 2013).
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