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The result illustrates this framework provides an efficient mechanism to support hierarchical modeling.
This paper presents a general framework for using soft sensors for process monitoring, i.e., soft sensor design and computation of the statistics that represent normal operating conditions, and illustrates this framework in three specific applications.
This article elaborates a conceptual framework for learning organizations, through the introduction of change concepts and the creation of learning teams, and reports on a case that illustrates this framework.
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We illustrate this framework with a real-time example that has been constructed in Ptolemy.
We illustrate this framework with an example dedicated to the study of dynamic situations in football.
We illustrate this framework using two examples from causal learning and conclude by discussing the implications for cognition, social reasoning, and cognitive development.
An example focusing on reaction and crystallization steps are also presented in the chapter to illustrate this framework.
To illustrate this framework, let's take the example of Facebook's most criticized error in the data harvesting scandal: allowing users to be able to grant access to their friends' information in addition to their own.
The examples we select to illustrate this framework happen to be from social and medical sciences, but the same relationships hold in any single or multi-state situation.
Figures 1 and 2 illustrate this framework.
Figure 1 visually depicts our findings, illustrating this framework and establishing the interrelationships among the inheritances and circumventions identified in the data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com