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Model development has been described by Guy et al.
Model development has been performed in six different descriptor spaces for mutagenicity, carcinogenicity, acute toxicity and phospholipidosis data sets.
Much of the motivation for model development has come from efforts to provide estimates of N2O flux at large scales for national- and regional-scale greenhouse gas inventories.
Therefore the need for predictive performance models is increasing but model development has generally lagged behind the introduction of new coatings.
11 Model development has been described elsewhere but we repeat it here for the reader's benefit.
Incorporating a bootstrap resampling procedure in model development has been suggested to provide information on model stability [ 8- 11].
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These advantages, such as broader knowledge base, transparency of the modeling approach and cost-effective model development, have been widely recognized, not only in academia but also in the industry.
Two approaches to modular model development have emerged from different research groups in ICASA.
In addition to the tests, 3-D numerical computations and initial model development have been performed to study the behaviour of bubble plumes in water pools.
Procedures for internal statistical validation (such as leave-one-out, y-scrambling etc) and external validation (employing a set of compounds not used for the model development) have been proposed.
Comparisons with integrated transient test data independent of those used for model development have been performed to verify the applicability of the proposed model for the prediction of the entrainment rate of liquid droplets at a quench front under typical reflood conditions envisioned in LWRs.
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