"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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2008 | 0 | 1 | 1 |
| 2010 | 1 | 1 | 2 |
| 2013 | 0 | 1 | 1 |
| 2014 | 1 | 0 | 1 |
| 2015 | 0 | 3 | 3 |
| 2016 | 0 | 3 | 3 |
| 2017 | 4 | 12 | 16 |
| 2018 | 4 | 14 | 18 |
| 2019 | 0 | 1 | 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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Parameter estimation from ICC curves. J Biol Dyn. 2021 12; 15(1):195-212.
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PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning. IEEE Trans Neural Netw Learn Syst. 2021 10; 32(10):4278-4290.
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LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network. IEEE/ACM Trans Comput Biol Bioinform. 2021 Jul-Aug; 18(4):1290-1298.
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The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis. Comput Math Methods Med. 2021; 2021:8873059.
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Immune-viral dynamics modeling for SARS-CoV-2 drug development. Clin Transl Sci. 2021 11; 14(6):2348-2359.
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Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink. Phys Biol. 2021 05 28; 18(4).
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Rise and Decay of the COVID-19 Epidemics in the USA and the State of New York in the First Half of 2020: A Nonlinear Physics Perspective Yielding Novel Insights. Biomed Res Int. 2021; 2021:6645688.
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Nonlinear dynamics for the spread of pathogenesis of COVID-19 pandemic. J Infect Public Health. 2021 Jul; 14(7):817-831.
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Complement C3 identified as a unique risk factor for disease severity among young COVID-19 patients in Wuhan, China. Sci Rep. 2021 04 12; 11(1):7857.
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A Deep Learning Approach for Table Tennis Forehand Stroke Evaluation System Using an IMU Sensor. Comput Intell Neurosci. 2021; 2021:5584756.