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Computing the adaptive cycle. [PDF]
AbstractGunderson’s and Holling’s adaptive cycle metaphor provides a qualitative description of the development of a dynamically evolving complex system. According to the metaphor, a complex system alternately passes through phases of stability and predictability and phases of reorganization and stochasticity.
Castell WZ, Schrenk H.
europepmc +7 more sources
Quantifying the Adaptive Cycle. [PDF]
The adaptive cycle was proposed as a conceptual model to portray patterns of change in complex systems. Despite the model having potential for elucidating change across systems, it has been used mainly as a metaphor, describing system dynamics qualitatively.
Angeler DG +5 more
europepmc +6 more sources
Introduction. Adaptation to the annual cycle [PDF]
Most large organisms have an annual routine; that is to say they schedule activities in a regular way over the year. Like any behaviour, annual routines can be explained in terms of either their causation or their contribution to reproductive success, that is their evolutionary function ...
McNamara, John M., Houston, Alasdair I.
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Coordinated SSM: An Adaptation of the SSM Learning Cycle [PDF]
This paper discusses the coordinated use of the Soft Systems Methodology (SSM) learning cycle with additional bodies of knowledge. This approach furthers focused understanding and appreciation for taking action within social systems. Adapting the SSM learning cycle extends the richness of the real-world situation understood from an analytic soft ...
Sadaf Salavati +3 more
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Abstract Adaptive athletes have globally embraced the sport of adaptive cycling, and participation is expanding rapidly on local, national, and international levels. With a diverse array of events supporting adaptive cyclist participation, there is a need to create more awareness about the history and classes of adaptive cycling, adaptive ...
Andrew H, Gordon, Arthur Jason, De Luigi
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Cycle Self-Training for Domain Adaptation
Mainstream approaches for unsupervised domain adaptation (UDA) learn domain-invariant representations to narrow the domain shift. Recently, self-training has been gaining momentum in UDA, which exploits unlabeled target data by training with target pseudo-labels.
Hong Liu +2 more
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Economic Resilience of German Lignite Regions in Transition [PDF]
This paper recalls the development of the German lignite regions Rhineland and Lusatia since 1945 to allow for a better understanding of their situation in 2019. We analyze their economic resilience, defined as adaptive capacity, using Holling’s adaptive
Oei, Pao-Yu +3 more
core +1 more source
Intra-limb coordinative adaptations in cycling [PDF]
This study aimed to establish the nature of lower extremity intra-limb coordination variability in cycling and to investigate the coordinative adaptations that occur in response to changes in cadence and work rate. Six trained and six untrained males performed nine pedalling bouts on a cycle ergometer at various cadences and work rates (60, 90, and 120
Sides, D, Wilson, Cassie
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Self-gravitational Magnetohydrodynamics with Adaptive Mesh Refinement for Protostellar Collapse [PDF]
A new numerical code, called SFUMATO, for solving self-gravitational magnetohydrodynamics (MHD) problems using adaptive mesh refinement (AMR) is presented. A block-structured grid is adopted as the grid of the AMR hierarchy.
Matsumoto, Tomoaki
core +5 more sources
A spiral model for adding automatic, adaptive authoring to adaptive hypermedia [PDF]
At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or their evaluation.
Cristea, Alexandra I., Hendrix, Maurice
core +3 more sources

