We propose a model-based approach that integrates the architectural models with component-aware model checking, and describe its tool support called ViTAL.
Establishment of arthritis models with components of adaptive immunity in the C57BL/6J strain of mice has been difficult, and since most genetically modified mice are commonly bred on this background, there is a need to explore new ways of obtaining robust models of arthritis in this strain.
This paper presents an efficient interpolation-based parametric reduced order model with component mode synthesis.
Structural modeling with component instantiation allows the designer to describe how the device will perform the function.
A first model with component 1 (preparatory parent program) and parent availability as independent variables.
And a second model with component 2 (parent-child interaction sessions) and parent-child interaction as independent variables.
Subsequently, this paper proceeds to present a generic business domain model with components encapsulating physical entities of interest.
McEwen (1993) provides an elaborate health motivation model with components such as previous health knowledge, perceived susceptibility, severity, and value of actions that interact with perceptions of susceptibility.
As shown in Figure 4A, the myelosuppression model is a physiologically based based model, with components of blood cell precursor proliferation, maturation, blood cell circulation and a feedback mechanism, that aim to separate system-related parameters from drug-related parameters.
A frequentist hierarchical model with components of variance could also be used and also borrows information; however frequentist point estimates of the variance may have large mean square errors compared to Bayesian estimates [ 3].
This study will make important contributions to the literature on reduced visit models by evaluating a novel prenatal care model with components to increase patient connectedness (even with fewer pre-scheduled office visits), as demonstrated on a range of patient-important outcomes.
