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This approach is a significant departure from other spatial biophysical modelling approaches which require costly and complex software tools.
More generally, this description is intended as a basis for designing negotiated learner modelling approaches, which can be interpreted in a lightweight fashion or extended with greater detail, as appropriate.
Results of the review reveal a division between economic modelling approaches, which implicitly assume a causal link between payments and positive behaviours, and socio-geographic approaches which tend to ignore the influence of compensation mechanisms on influencing behaviours.
Consequently, the combination of (1) systematic metabolite measurements and (2) modelling approaches which can predict dynamic metabolism on the basis of genome annotation and metabolic network reconstruction is urgently needed.
In this it differs significantly from many traditional modelling approaches which can only cope with quantifiable variables (Janes 1988).
The estimate of electromechanical beam constitutive coefficients is discussed and comparison with standard modelling approaches, which assume either vanishing transverse stresses or vanishing transverse strains, is emphasized.
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In this paper, we propose a non-local background modelling approach, which exploits the semi-periodic nature of the videos and overcomes the limitations of other approaches.
We describe a novel performability modelling approach, which facilitates the efficient solution of performance models extracted from high-level descriptions of systems.
The use of the stochastic grey-box modelling approach, which is less common in the ventilation field, can help to deal with disturbances that can affect the system.
Another study reported by Raevsky [13] and coworkers proposed a so-called Arithmetic Mean Toxicity (AMT) modelling approach, which produced local models based on a k-nearest neighbors approach.
The proposed method utilizes a coupled suspension-bridge modelling approach, which integrates an analytical form-finding method with the conventional finite element (FE) model to enhance the FE modelling efficiency during the optimization process.
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