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Phase 1, modelling, aims to improve the understanding of intervention components and their relationships, while Phase 2 aims to develop the optimum intervention and study design.
The modelling aims to assess the monitoring potential of a carbon capture and storage site.
Predictive modelling aims to combine knowledge (understanding and data) with the goal of predicting system dynamics; conversely, exploratory models focus on developing understanding in systems where uncertainty is high.
Functional-architectural modelling aims to overcome these limitations by (i) representing crops as populations of individual plants specified in three dimensions and (ii) by modelling whole plant growth and development from the behaviour of individual organs, based on models of organs such as leaves and internodes.
In order to reduce size and complexity of detailed network models, meso-scale modelling aims to lump sub-processes and sub-networks to 'effective' functional nodes without loosing the accuracy of the overall model.
As clustering is performed across all samples, homopolymer modelling aims to prevent these sequences from being erroneously assigned as new clusters.
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Agent based modeling aims to understand global dynamics of ecological systems by simulating local interactions between individuals, or agents [ 25].
Our model aims to investigate structural adaptation of the mouse tibia through surface modeling and remodeling processes to additional mechanical loading.
Current model aims to simulate this aspect.
This model aims to relax the dysphoria and so avoids any medical irreversible interventions.
This licensing model aims to find "the right middle ground between consumer acceptance and profitability for content providers," Linde says.
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