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Based on uncertainties about the future, this model could be improved to consider probabilistic factors.
In the future, this model will be helpful in comparing various DHT systems as well as enabling the design of powerful and efficient DHT based thermal management systems.
In the future, this model will be used to help ameliorate odour conflicts by predicting odour dispersion according to various meteorological and geographical conditions.
For the future, this model is intended to be used for the run-time generation of user interfaces for adaptive software and intelligent environments, especially in the area of production and manufacturing.
In the future, this model system will have to be adapted and refined.
In the future this model should be replicated to other smaller rural hospitals in India.
In future, this model could also be useful by analyzing the covariance of comorbid traits.
In the future, this model could be linked to an oocyte growth dynamics model developed by Li et al. (accepted).
In the future, this model will facilitate a better understanding of Tau spread throughout the brain in sporadic tauopathies.
In the future, this model could be extended to the study of more traditional respiratory pathogens such as mycobacteria and dimorphic fungi.
We expect that in the future this model will provide an attractive platform for the identification of genes involved in tumor formation.
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