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Record Nr. |
UNINA9910409687103321 |
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Autore |
Filippov Alexander E |
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Titolo |
Combined Discrete and Continual Approaches in Biological Modelling / / by Alexander E. Filippov, Stanislav N. Gorb |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xviii, 317 pages) |
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Collana |
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Biologically-Inspired Systems, , 2211-0593 ; ; 16 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computational biology |
Surfaces (Physics) |
Interfaces (Physical sciences) |
Thin films |
System theory |
Zoology |
Plant science |
Botany |
Biology—Technique |
Computer Appl. in Life Sciences |
Surface and Interface Science, Thin Films |
Complex Systems |
Plant Sciences |
Biological Techniques |
Models matemàtics |
Biologia |
Bioinformàtica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Various methods of pattern formation -- Chapter 3. Clusterization of biological structures with |
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high aspect ratio -- Chapter 4. Contact between biological attachment devices and rough -- Chapter 5. Anisotropic friction in biological systems -- Chapter 6. Mechanical interlocking of biological fasteners -- Chapter 7. Biomechanics at the microscale -- Chapter 8. Nanoscale pattern formation in biological surfaces -- Chapter 9. Ecology and evolution. |
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Sommario/riassunto |
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Basic laws of nature are rather simple, but observed biological structures and their dynamic behaviors are unbelievably complicated. This book is devoted to a study of this “strange” relationship by applying mathematical modeling to various structures and phenomena in biology, such as surface patterns, bioadhesion, locomotion, predator-prey behavior, seed dispersal, etc. and revealing a kind of self-organization in these phenomena. In spite of diversity of biological systems considered, two main questions are (1) what does self-organization in biology mean mathematically and (2) how one can apply this knowledge to generate new knowledge about behavior of particular biological system? We believe that this kind of “biomimetics” in computer will lead to better understanding of biological phenomena and possibly towards development of technical implications based on our modeling. |
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