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Our results suggest that the CA-Markov model, when incorporating biophysical and human-induced factors, performs better than the model which did not account for these factors when simulating the salt-affected landscape of the Yinchuan Plain (China) in 2009.
The Two stage mixed effects model, when incorporating random slopes, and the Gaussian mixture model by clustering the exposure values, Functional clustering model, and Functional logistic regression model, are different ways of capturing the additional information that repeated measures over time provide that may contribute more than pure exposure measure contributions to preterm birth.
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It is likely that use of higher resolution binding data, inclusion of a parameter to allow Tup1 to bind directly to histone tails, and the discovery of additional Tup1 recruiting proteins will improve our model when incorporated.
Ensemble forecasting produces, in general, more robust predictions and reduces uncertainty among models when incorporating climate change [ 26, 27].
It is envisaged that such models when incorporated in the cutting force models, would help predict cutting forces more accurately.
However, the honeybee model was only successful when incorporating second order visual processing, assuming interactions between photoreceptor types [ 33].
Genome annotations of newly sequenced species initially rely primarily on ab initio gene predictions and alignment of reference transcripts of related species; however, the quality of gene models is greatly improved when incorporating same species transcriptomic sequencing [ 4].
Discrete damage mechanics (DDM) refers to micromechanics of damage constitutive models that, when incorporated into commercial finite element software via user material subroutines, are able to predict intralaminar transverse and shear damage initiation and evolution in terms of the fracture toughness of the composite.
When incorporating PSF modelling, we used a noise regularization kernel of 6 mm full-width at half-maximum and 1 PSF iteration.
When incorporating new data into the existing model, it would be possible to determine if it is consistent with previous knowledge.
Also, when incorporating an input series into the model, prewhitening should occur prior to the cross-correlation assessment for the transfer function models.
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