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Here, the work in [3] has been enhanced, the model is named as Routing and Multicast Tree based Geocasting with Hole Detection (RMTG-HD).
In our recent study (Pokhrel et al. 2015), we further enhanced the model by representing groundwater pumping scheme to explicitly simulate groundwater withdrawal and recharge, enabling us to estimate groundwater withdrawal and depletion within the model and without using any auxiliary information.
Two major improvements enhanced the model's ability to represent observations.
We enhanced the model in three steps with increasing complexity.
Importantly, hybrid descriptors from noise-filtered qHTS data also enhanced the model coverage, which is essential for applying models to large and diverse chemical libraries of environmental concern.
However, including 4E-BP2 in a model for OS enhanced the model significantly with hazard increasing by 1.28 with each point increase in eIF4E score (P=0.005) and decreasing 0.11 with each increase in 4E-BP2 score (P=0.02).
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Extension to multicomponent Gaussian models, for both the interior and exterior regions, may enhance the model.
As a result, one can impose some constraints on those parameters to enhance the model strength.
A modified model of anatomy, simple surgical planning performed digitally to further enhance the model, significantly modified models.
The uncertainty on the identification of training samples was taken in account to enhance the model.
A gap-search algorithm was designed to enhance the model efficiency.
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