Nonlinear Dynamics
"Nonlinear Dynamics" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.
Descriptor ID |
D017711
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MeSH Number(s) |
E05.599.850 H01.548.675
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Concept/Terms |
Nonlinear Dynamics- Nonlinear Dynamics
- Dynamics, Nonlinear
- Nonlinear Dynamic
- Non-linear Dynamics
- Dynamics, Non-linear
- Non linear Dynamics
- Non-linear Dynamic
Models, Nonlinear- Models, Nonlinear
- Model, Nonlinear
- Nonlinear Model
- Nonlinear Models
- Non-linear Models
- Model, Non-linear
- Models, Non-linear
- Non linear Models
- Non-linear Model
Chaos Theory- Chaos Theory
- Chaos Theories
- Theories, Chaos
- Theory, Chaos
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Below are MeSH descriptors whose meaning is more general than "Nonlinear Dynamics".
Below are MeSH descriptors whose meaning is more specific than "Nonlinear Dynamics".
This graph shows the total number of publications written about "Nonlinear Dynamics" by people in this website by year, and whether "Nonlinear Dynamics" was a major or minor topic of these publications.
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Year | Major Topic | Minor Topic | Total |
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2019 | 0 | 1 | 1 |
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Below are the most recent publications written about "Nonlinear Dynamics" by people in Profiles.
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Abbas-Aghababazadeh F, Lu P, Fridley BL. Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell lines. Sci Rep. 2019 10 08; 9(1):14421.
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Staggs VS. Nurse staffing, RN mix, and assault rates on psychiatric units. Res Nurs Health. 2013 Feb; 36(1):26-37.
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Meadow W, Lantos JD. Expert testimony, legal reasoning, and justice. The case for adopting a data-based standard of care in allegations of medical negligence in the NICU. Clin Perinatol. 1996 Sep; 23(3):583-95.
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