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The system is based upon a clear separation of direction from rate of change and the use of a general temporal reasoning system, a feature that facilitates modelling of situations where environmental change occurs causing an increase or decrease in rate without affecting direction of vegetation change.
Therefore, making use of genetic family data to extract both linkage and association information facilitates modelling of effects at the underlying causal loci, rather than simply detecting those effects.
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The proposed model structure, in addition to capturing the dynamics with respect to the manipulated inputs, facilitates modeling of stationary as well as non-stationary components of the unmeasured disturbances.
Hierarchical structuring facilitates modeling of complex biological systems by defining them in terms of their components and the interactions that exist between them.
However, we payed attention to presenting a realistic case study that shows how a rule-based multi-level approach like ML-Rules facilitates modeling of such systems.
An analytical model designed to approximate the uplift behavior of toenail connections is developed to facilitate modeling of roof systems.
To facilitate modeling of spatial flexure mechanisms, we have also implemented rich Graphical User Interfaces (GUI) in MATLAB environment.
We utilized this integrated approach to facilitate modeling of the susceptibility of areas to degradation in the Khanmirza agricultural plain in the southwest of Iran.
In particular, we focus on three different but related formalisms facilitating modeling of signaling processes with different levels of detail: interaction graphs, logical/Boolean networks, and logic-based ordinary differential equations (ODEs).
We argue that this approach will facilitate modeling of mechanistic approaches in turn generating biologically relevant hypotheses and predictions to enable further experimental tests to identify "what makes a pioneer" at hormonal and physiological levels in vertebrates.
This form facilitates separate modelling of mean and variance trends (Huang and Oosterlee 2008).
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