Matches in SemOpenAlex for { <https://semopenalex.org/work/W938446534> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W938446534 endingPage "675" @default.
- W938446534 startingPage "636" @default.
- W938446534 abstract "Publisher Summary This chapter describes some of the terms and concepts of modern dynamical systems theory, including chaotic dynamics and fractals, with suggested applications. Although chaos and fractals are different concepts that should not be confounded, they intersect in the field of modern nonlinear dynamics. The general motivation for biologists to examine chaotic dynamics and fractal geometries arises from recognition that most of physics addresses only simple systems, no matter how elaborate the mathematical apparatus seems to the uninitiated. The chapter explores the possible relevance of fractals to the understanding of both structure and function in biology. It is hypothesized that biological systems are not inherently noisy but follow state-determined dynamics (motion and change) of the deterministic chaotic class. Their chaotic dynamics produce their marginal stability, many of their structures, and their fractal organization of time. Fractals can pertain to the organization of both space and time. In the case of generating fractal trees as computer images of this recursion, if the parameters remain constant through various generations of branching, a somewhat regular tree that looks like a bracken fern is obtained, but if the parameters for the branchings are random, then very irregular shapes are obtained. In the mathematical generation of fractals by recursion rules, the orders of magnitude from zero to infinity are permitted. Classic Fourier-based spectral analysis consists of fitting time history data with a linear series of sines and cosines." @default.
- W938446534 created "2016-06-24" @default.
- W938446534 creator A5059593950 @default.
- W938446534 date "1992-01-01" @default.
- W938446534 modified "2023-09-23" @default.
- W938446534 title "[30] fractal applications in biology: Scaling time in biochemical networks" @default.
- W938446534 cites W1993247695 @default.
- W938446534 cites W1997430937 @default.
- W938446534 cites W2018507678 @default.
- W938446534 cites W2028488948 @default.
- W938446534 cites W2031906638 @default.
- W938446534 cites W2036402256 @default.
- W938446534 cites W2039998175 @default.
- W938446534 cites W2055915408 @default.
- W938446534 cites W2075514521 @default.
- W938446534 cites W2077598926 @default.
- W938446534 cites W2089036384 @default.
- W938446534 cites W2145617351 @default.
- W938446534 cites W2415485703 @default.
- W938446534 cites W4239883234 @default.
- W938446534 doi "https://doi.org/10.1016/0076-6879(92)10032-9" @default.
- W938446534 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/1584054" @default.
- W938446534 hasPublicationYear "1992" @default.
- W938446534 type Work @default.
- W938446534 sameAs 938446534 @default.
- W938446534 citedByCount "37" @default.
- W938446534 countsByYear W9384465342012 @default.
- W938446534 countsByYear W9384465342013 @default.
- W938446534 countsByYear W9384465342014 @default.
- W938446534 countsByYear W9384465342015 @default.
- W938446534 countsByYear W9384465342016 @default.
- W938446534 countsByYear W9384465342017 @default.
- W938446534 countsByYear W9384465342018 @default.
- W938446534 countsByYear W9384465342021 @default.
- W938446534 countsByYear W9384465342022 @default.
- W938446534 crossrefType "book-chapter" @default.
- W938446534 hasAuthorship W938446534A5059593950 @default.
- W938446534 hasConcept C121332964 @default.
- W938446534 hasConcept C121864883 @default.
- W938446534 hasConcept C134306372 @default.
- W938446534 hasConcept C186060115 @default.
- W938446534 hasConcept C2524010 @default.
- W938446534 hasConcept C33923547 @default.
- W938446534 hasConcept C40636538 @default.
- W938446534 hasConcept C41008148 @default.
- W938446534 hasConcept C86803240 @default.
- W938446534 hasConcept C99844830 @default.
- W938446534 hasConceptScore W938446534C121332964 @default.
- W938446534 hasConceptScore W938446534C121864883 @default.
- W938446534 hasConceptScore W938446534C134306372 @default.
- W938446534 hasConceptScore W938446534C186060115 @default.
- W938446534 hasConceptScore W938446534C2524010 @default.
- W938446534 hasConceptScore W938446534C33923547 @default.
- W938446534 hasConceptScore W938446534C40636538 @default.
- W938446534 hasConceptScore W938446534C41008148 @default.
- W938446534 hasConceptScore W938446534C86803240 @default.
- W938446534 hasConceptScore W938446534C99844830 @default.
- W938446534 hasLocation W9384465341 @default.
- W938446534 hasLocation W9384465342 @default.
- W938446534 hasOpenAccess W938446534 @default.
- W938446534 hasPrimaryLocation W9384465341 @default.
- W938446534 hasRelatedWork W137730757 @default.
- W938446534 hasRelatedWork W1639368660 @default.
- W938446534 hasRelatedWork W1963640241 @default.
- W938446534 hasRelatedWork W2020006636 @default.
- W938446534 hasRelatedWork W2085223805 @default.
- W938446534 hasRelatedWork W2906163180 @default.
- W938446534 hasRelatedWork W3098159699 @default.
- W938446534 hasRelatedWork W71523218 @default.
- W938446534 hasRelatedWork W2124501359 @default.
- W938446534 hasRelatedWork W2505283294 @default.
- W938446534 isParatext "false" @default.
- W938446534 isRetracted "false" @default.
- W938446534 magId "938446534" @default.
- W938446534 workType "book-chapter" @default.