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It includes six kinds of knowledge about functionality, i.e. two types of functional models, two types of organization of generic knowledge, and two ontologies of functionality.
Different from the existing probabilistic Principal Component Analysis/Principal Component Regression models, two types of latent variables are introduced into the probabilistic PLS model structure.
As the hybrid LCA model combines models, two types of data are required: physical data (used to model major processes such as energy input); and monetary data (used to address the gap in inventory data and model processes usually minor that could have not been modelled using physical data due to the scarcity of data).
We also note that in terms of the impact (i.e., nest survival) models, two types of uncertainty, parameter and structural, were not explicitly considered.
The authors conclude that because of this interaction between two causal models, two types of specialist are needed: first, a traditional healer who removes the power of the witch, and second, a biomedic who eliminate the parasites [ 42].
Our method models two types of signal from the data: (i) imbalance of the allele distributions at SNP loci (discussed in Section 2.1) and (ii) number of fragments sequenced from ∼1 kb genomic regions (discussed in Section 2.2).
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As for multi-phase fluids thermal models, three types of models are commonly used by the petroleum industry to model the impact of multiphase fluid on wellbores homogeneous, drift-flux and mechanistic.
It models four types of measurements (exemplary data are shown in Step 1 in Fig. 1) and metadata annotating these measurements.
In addition to the original genome sequences and gene models, seven types of annotation for the predicted genes have been generated.
For each model, two types of modeling scenarios were tested.
As a model, two types of MRRs were proposed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com