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The Nursing Theory of Complex Adaptive Systems: A New Paradigm for Nursing. [PDF]

open access: yesHealthcare (Basel)
Background/Objectives: This article explores the theoretical and practical implications of the meaning of thinking, living, and acting within the framework of nursing in Complex Adaptive Systems. The Nursing Theory of Complex Adaptive Systems is grounded
Notarnicola I   +5 more
europepmc   +3 more sources

Studying Complex Adaptive Systems [PDF]

open access: yesJournal of Systems Science and Complexity, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Change Escalation Processes and Complex Adaptive Systems: From Incremental Reconfigurations to Discontinuous Restructuring [PDF]

open access: yesOrganization Science, 2015
This study examines when “incremental” change is likely to trigger “discontinuous” change, using the lens of complex adaptive systems theory. Going beyond the simulations and case studies through which complex adaptive systems have been approached so far,
Richard Whittington
exaly   +2 more sources

Impacts of Skill Centrality on Regional Economic Productivity and Occupational Income

open access: yesComplexity, 2022
A well-developed perspective in the study of urban systems is that cities are complex systems that manifest as networks of interdependent economic units. These units might be occupations, industries, labor skills, patent technologies, etc.
Keith Waters, Shade T. Shutters
doaj   +1 more source

Skills-approximate occupations: using networks to guide jobs retraining

open access: yesApplied Network Science, 2022
An issue often confronting economic development agencies is how to minimize unemployment due to disruptions like technological change, trade wars, recessions, or other economic shocks.
Keith Waters, Shade T. Shutters
doaj   +1 more source

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction

open access: yesIEEE Access, 2022
Graph neural networks (GNNs) are rapidly becoming the dominant way to learn on graph-structured data. Link prediction is a near-universal benchmark for new GNN models. Many advanced models such as Dynamic graph neural networks (DGNNs) specifically target
Joakim Skarding   +3 more
doaj   +1 more source

Regional economic tightness from rural to urban regions

open access: yesUrban Transformations, 2022
Regional economies are characterized by networks of interactions between individual elements and are thus quintessential complex systems. Analyzing the relatedness of various aspects of regional economies, such as exports, industries, occupations, and ...
Keith Waters, Shade T. Shutters
doaj   +1 more source

Review and Assessment of Digital Twin–Oriented Social Network Simulators

open access: yesIEEE Access, 2023
The ability to faithfully represent real social networks is critical from the perspective of testing various what-if scenarios which are not feasible to be implemented in a real system as the system’s state would be irreversibly changed.
Jiaqi Wen   +2 more
doaj   +1 more source

Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey

open access: yesIEEE Access, 2022
This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they approach their ultimate goal of creating a Digital Twin (DT) that perfectly ...
Jiaqi Wen   +2 more
doaj   +1 more source

The basis of easy controllability in Boolean networks

open access: yesNature Communications, 2021
Boolean networks allow a simplified representation of interactions. Here, the authors systematically analyze regulation in dozens of biological Boolean networks, finding mathematical regularities that suggest biological systems could be controlled ...
Enrico Borriello, Bryan C. Daniels
doaj   +1 more source

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