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In general, traditional game models have focused on investigating which decisions are made or what decisions should be made.
Thus far, most CFD models have focused on the characterization of the air flow generated by the sprayer.
Despite this, most research efforts in this field using empirical sorption isotherms or surface complexation models have focused on the behavior of single adsorbate [11 14].
Traditionally, studies using forest models have focused on forest structure and dynamics, but they often neglected carbon exchange with the atmosphere (Bugmann 2001).
Most econometric models have focused on the individual and separate effects of density, land-use patterns, and street connectivity on the spatial variation of walking.
Traditionally inventory management models have focused on risk-neutral decision making with the objective of maximizing the expected rewards or minimizing costs over a specified time horizon.
Most existing models have focused on separation process simulation, while the heat exchange characteristics and the refrigeration design were either ignored or based on highly simplified assumptions.
Various models have focused on particular aspects of stem cell physiology including gene regulatory networks, gene expression noise and signaling cascades activated by exogenous factors.
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Current models have focussed overwhelmingly on component 3 (perinatal transmission) of the recommended WHO pMTCT approach.
To date, studies using DGE IGE models have focussed on survival time but their shortcomings are that censored records were considered as exact lengths of life and models assumed that IGE were continuously expressed by all cage members even after death.
The majority of the work done concerning finite mixture models has focused on mixtures for continuous data.
More suggestions(15)
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