"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
|
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
|
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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2005 | 0 | 1 | 1 |
2011 | 1 | 0 | 1 |
2014 | 0 | 1 | 1 |
2015 | 0 | 1 | 1 |
2016 | 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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A Longitudinal HbA1c Model Elucidates Genes Linked to Disease Progression on Metformin. Clin Pharmacol Ther. 2016 Nov; 100(5):537-547.
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Drinking experience uncovers genetic influences on alcohol expectancies across adolescence. Addiction. 2015 Apr; 110(4):610-8.
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Retinopathy and progression of CKD: The CRIC study. Clin J Am Soc Nephrol. 2014 Jul; 9(7):1217-24.
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Hebbian learning in linear-nonlinear networks with tuning curves leads to near-optimal, multi-alternative decision making. Neural Netw. 2011 Jun; 24(5):417-26.
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Trends in the perceived complexity of primary health care: a secondary analysis. J Eval Clin Pract. 2010 Oct; 16(5):1002-8.
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Dynamical difference in patients encounters involving uncontrolled diabetes: an orbital decomposition analysis. J Eval Clin Pract. 2010 Feb; 16(1):211-9.
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Developing indicators of inpatient adverse drug events through nonlinear analysis using administrative data. Med Care. 2007 Oct; 45(10 Supl 2):S81-8.
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The frequency and behavioral outcomes of goal choices in the self-management of diabetes. Diabetes Educ. 2005 May-Jun; 31(3):391-400.