"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
|
| 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 |
|---|
| 2002 | 0 | 1 | 1 |
| 2003 | 1 | 1 | 2 |
| 2004 | 0 | 1 | 1 |
| 2005 | 1 | 0 | 1 |
| 2006 | 0 | 3 | 3 |
| 2007 | 1 | 1 | 2 |
| 2009 | 1 | 3 | 4 |
| 2010 | 1 | 0 | 1 |
| 2011 | 1 | 0 | 1 |
| 2012 | 2 | 1 | 3 |
| 2013 | 1 | 3 | 4 |
| 2014 | 1 | 0 | 1 |
| 2015 | 0 | 3 | 3 |
| 2016 | 1 | 0 | 1 |
| 2017 | 1 | 0 | 1 |
| 2021 | 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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Saba ES, Karout M, Nasrallah L, Kobeissy F, Darwish H, Khoury SJ. Long-term cognitive deficits after traumatic brain injury associated with microglia activation. Clin Immunol. 2021 Sep; 230:108815.
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Ching T, Garmire LX. Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA. Pac Symp Biocomput. 2018; 23:512-523.
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Lee N, Schrode KM, Bee MA. Nonlinear processing of a multicomponent communication signal by combination-sensitive neurons in the anuran inferior colliculus. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2017 Sep; 203(9):749-772.
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Ishizawa Y, Ahmed OJ, Patel SR, Gale JT, Sierra-Mercado D, Brown EN, Eskandar EN. Dynamics of Propofol-Induced Loss of Consciousness Across Primate Neocortex. J Neurosci. 2016 07 20; 36(29):7718-26.
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Hashemian M, Poustchi H, Abnet CC, Boffetta P, Dawsey SM, Brennan PJ, Pharoah P, Etemadi A, Kamangar F, Sharafkhah M, Hekmatdoost A, Malekzadeh R. Dietary intake of minerals and risk of esophageal squamous cell carcinoma: results from the Golestan Cohort Study. Am J Clin Nutr. 2015 Jul; 102(1):102-8.
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Wey A, Connett J, Rudser K. Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models. Biostatistics. 2015 Jul; 16(3):537-49.
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Razi A, Banerjee N, Dimitrova N, Varadan V. Non-linear Bayesian framework to determine the transcriptional effects of cancer-associated genomic aberrations. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:6514-8.
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Madansingh S, Gorniak SL. Using nonlinear tools to evaluate movement of fragile objects. J Appl Biomech. 2015 Apr; 31(2):95-101.
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Joh RI, Hoekstra RM, Barzilay EJ, Bowen A, Mintz ED, Weiss H, Weitz JS. Dynamics of shigellosis epidemics: estimating individual-level transmission and reporting rates from national epidemiologic data sets. Am J Epidemiol. 2013 Oct 15; 178(8):1319-26.
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Tabatabai MA, Eby WM, Singh KP, Bae S. T model of growth and its application in systems of tumor-immune dynamics. Math Biosci Eng. 2013 Jun; 10(3):925-38.