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Given the advent of personal health records, patient portals, and mobile applications aimed at better engaging patients, the findings suggest that there is a need to consider multiple components and targets in the development of any future interventions.
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Consistent with any predictive effort that involves significant uncertainty, the researchers conclude that researchers and policy analysts should similarly consider multiple prediction scenarios for each component of their analyses, enabling a better assessment of the range of possible effects.
It is appropriate to consider multiple states of the considered mechanical system or component, instead of the binary states for availability analysis (Majid and Nasir 2011).
The more complex mechanistic models consider multiple substrates (amorphous and crystalline cellulose) and the different enzyme components.
We consider multiple examples below.
Some approaches also consider multiple processes.
Consider multiple drawings.
Consider multiple points of view.
Moreover, it is important to consider the multiple components of ground motion during time history analysis for a realistic simulation.
Our analysis reflects the dynamic nature of the dialysis population and considers multiple additional cost components, including ESA costs, transport costs and access maintenance costs.
This implies that runtime could change significantly if other components considered multiple particles to be associated with each key.
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