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000938147 019__ $$a1164494000$$a1182462861
000938147 020__ $$a9783030415280$$q(electronic book)
000938147 020__ $$a3030415287$$q(electronic book)
000938147 020__ $$z3030415279
000938147 020__ $$z9783030415273
000938147 0247_ $$a10.1007/978-3-030-41
000938147 035__ $$aSP(OCoLC)on1163939579
000938147 035__ $$aSP(OCoLC)1163939579$$z(OCoLC)1164494000$$z(OCoLC)1182462861
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000938147 049__ $$aISEA
000938147 050_4 $$aQH324.8
000938147 08204 $$a570.1/13$$223
000938147 1001_ $$aFilippov, Alexander E.
000938147 24510 $$aCombined discrete and continual approaches in biological modelling /$$cAlexander E. Filippov, Stanislav N. Gorb.
000938147 260__ $$aCham :$$bSpringer,$$c2020.
000938147 300__ $$a1 online resource
000938147 336__ $$atext$$btxt$$2rdacontent
000938147 337__ $$acomputer$$bc$$2rdamedia
000938147 338__ $$aonline resource$$bcr$$2rdacarrier
000938147 4901_ $$aBiologically-Inspired Systems ;$$vv.16
000938147 504__ $$aIncludes bibliographical references and index.
000938147 5050_ $$aChapter 1. Introduction -- Chapter 2. Various methods of pattern formation -- Chapter 3. Clusterization of biological structures with high aspect ratio -- Chapter 4. Contact between biological attachment devices and rough -- Chapter 5. Anisotropic friction in biological systems -- Chapter 6. Mechanical interlocking of biological fasteners -- Chapter 7. Biomechanics at the microscale -- Chapter 8. Nanoscale pattern formation in biological surfaces -- Chapter 9. Ecology and evolution.
000938147 506__ $$aAccess limited to authorized users.
000938147 520__ $$aBasic laws of nature are rather simple, but observed biological structures and their dynamic behaviors are unbelievably complicated. This book is devoted to a study of this "strange" relationship by applying mathematical modeling to various structures and phenomena in biology, such as surface patterns, bioadhesion, locomotion, predator-prey behavior, seed dispersal, etc. and revealing a kind of self-organization in these phenomena. In spite of diversity of biological systems considered, two main questions are (1) what does self-organization in biology mean mathematically and (2) how one can apply this knowledge to generate new knowledge about behavior of particular biological system? We believe that this kind of "biomimetics" in computer will lead to better understanding of biological phenomena and possibly towards development of technical implications based on our modeling.
000938147 650_0 $$aBiological models.
000938147 7001_ $$aGorb, Stanislav.
000938147 77608 $$iPrint version: $$z3030415279$$z9783030415273$$w(OCoLC)1137829029
000938147 830_0 $$aBiologically-inspired systems ;$$v16.
000938147 852__ $$bebk
000938147 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-41528-0$$zOnline Access$$91397441.1
000938147 909CO $$ooai:library.usi.edu:938147$$pGLOBAL_SET
000938147 980__ $$aEBOOK
000938147 980__ $$aBIB
000938147 982__ $$aEbook
000938147 983__ $$aOnline
000938147 994__ $$a92$$bISE