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000915694 019__ $$a1060993069$$a1125997327$$a1126641214
000915694 020__ $$a9783319980836$$q(electronic book)
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000915694 24500 $$aUnderstanding complex biological systems with mathematics /$$cAmi Radunskaya, Rebecca Segal, Blerta Shtylla, editors.
000915694 264_1 $$a[Cham?] :$$bSpringer,$$c2018.
000915694 300__ $$a1 online resource (207 pages).
000915694 336__ $$atext$$btxt$$2rdacontent
000915694 337__ $$acomputer$$bc$$2rdamedia
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000915694 4901_ $$aAssociation for Women in Mathematics series ;$$vvolume 14
000915694 504__ $$aIncludes bibliographical references and index.
000915694 506__ $$aAccess limited to authorized users.
000915694 520__ $$aThis volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences. The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume.
000915694 588__ $$aOnline resource; title from PDF title page (viewed Nov. 29, 2018).
000915694 588__ $$aDescription based on print version record.
000915694 650_0 $$aBiological systems$$xMathematics.
000915694 650_0 $$aSystems biology$$xMathematics.
000915694 7001_ $$aRadunskaya, Ami,$$eeditor.
000915694 7001_ $$aSegal, Rebecca,$$eeditor.
000915694 7001_ $$aShtylla, Blerta,$$eeditor.
000915694 77608 $$iPrint version:$$aRadunskaya, Ami$$tUnderstanding Complex Biological Systems with Mathematics$$dCham : Springer,c2018$$z9783319980829
000915694 830_0 $$aAssociation for Women in Mathematics Series ;$$vv. 14.
000915694 852__ $$bebk
000915694 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-98083-6$$zOnline Access$$91397441.1
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