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This model will be illustrated in detail.
Example 3: The mapping model will be illustrated for the loop nest in Fig. 11 a.
The model will be illustrated by means of a hypothetical compound consisting of a compliant metal substrate and a suitable film, which shall simultaneously protect the substrate from plastic flow and avoid film cracking.
The performances of the proposed methods in the VAR model will be illustrated in the next section.
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The effectiveness of this method as well as the consistency and accuracy of the general finite element formulation and the reduced beam models will be illustrated with selected numerical examples.
Some classical cochlear models will be illustrated to give a physical insight into how the cochlea works.
Although simpler models and modeling tasks will be illustrated using warfarin pharmacokinetic pharmacodynamic models, more complex models involving integrated physiological systems, disease progression, categorical and time-to-event data, and multilevel random effects models will be illustrated in the oncology, diabetes, and Alzheimer's disease areas.
The model formulation will be illustrated using the simple metabolic network shown in Figure 3. Traditional MFA approaches construct distinct variables for each flux and for each possible labeling state (isotopomer) associated with all metabolites in the network.
Mixtures provide flexible models, as will be illustrated below.
Thereby, it is possible to achieve new models combining descriptors from different models, as it will be illustrated in next sections.
Results from model-based analysis will be illustrated with examples from FCM assays commonly used in cancer immunotherapy laboratories.
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CEO of Professional Science Editing for Scientists @ prosciediting.com