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Critical to each of these frameworks is the need to focus on the societal, policy, community, family and individual level rather than just micro-level behaviors.
Although each of these frameworks has limitations, between them they capture most of the elements contained in the various definitions of resilience: risk drivers (hazard, vulnerability, and exposure), resilience building processes, and outcomes.
The results can be useful to many researchers involved in the development of projects using these technologies by providing an overview of the features implemented in each of these frameworks.
Specifically, we present a detailed analysis of the computational complexity of each of these frameworks with respect to the two decision problems of deciding whether a hypothesis is a solution of a learning task and deciding whether a learning task has any solutions.
Each of these frameworks is best suited for different types of data structures.
Each of these frameworks will be discussed in turn in the subsequent sections.
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Biologists immediately began to consider the informational aspect of life, in each of these theoretical frameworks, in areas ranging from neurology to molecular biology, but especially the latter.
Each of these discursive frameworks, we argue, can contribute to our understanding of climate change, but they do not all incorporate justice concerns to the same degree.
Each of these modeling frameworks is available for review (U.S. EPA 2009) and has been extensively evaluated (Ambrose et al. 2005; Brown et al. 2007; Knightes 2008).
Of these frameworks, Marx was not fully conscious.
One of these frameworks is transnational policy learning mechanisms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com