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In many theoretical frameworks our visible world is a 3-brane, embedded in a multidimensional bulk, possibly coexisting with hidden braneworlds.
Given that cognitive science shares with economics many theoretical frameworks and research tools designed to understand decision-making behavior, should economists be the only ones re-examining their conceptual ideas and empirical methods?
In the past two decades, many theoretical frameworks and methodological approaches to measure research impact and returns have been developed.
There are many theoretical frameworks that address the social context and its interaction with biological and psychological factors.
Over the past two decades many theoretical frameworks and approaches to measuring research impacts have been proposed [ 4], but there have been few empirical studies exploring how and why research is used [ 5, 6].
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More generally, although the method was specifically developed to inform and test situational action theory, its focus on situational causes makes it a potentially useful instrument for many other theoretical frameworks.
Many existing theoretical frameworks to assess vulnerability fall along a continuum from those that are too macro (because they are based on large-scale generalizations that ignore local contextual issues) or are too micro (because they are so site specific that they obscure general trends).
The lack of clarity on care coordination is a result of the many definitions and theoretical frameworks for the study of care coordination.
Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management.
The theoretical frameworks of many disciplines including the cognitive construals of developmental cognitive psychology presented here—hold great potential for revealing common origins of apparently disparate student challenges in learning biology.
The constraint satisfaction problem (CSP) is a central generic problem in computer science and artificial intelligence: it provides a common framework for many theoretical problems as well as for many real-life applications.
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many computational frameworks
many theoretical papers
many popular frameworks
many theoretical advantages
many theoretical virtues
many theoretical formulae
many educational frameworks
many theoretical results
many theoretical approaches
many theoretical treatments
many regulatory frameworks
many theoretical accounts
many theoretical futures
many theoretical justifications
many different frameworks
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com