LEADER 03958nam 22004455 450 001 9910300141003321 005 20200705040438.0 010 $a3-319-98083-1 024 7 $a10.1007/978-3-319-98083-6 035 $a(CKB)4100000007111110 035 $a(MiAaPQ)EBC5568433 035 $a(DE-He213)978-3-319-98083-6 035 $a(EXLCZ)994100000007111110 100 $a20191028d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUnderstanding Complex Biological Systems with Mathematics$b[electronic resource] /$fedited by Ami Radunskaya, Rebecca Segal, Blerta Shtylla 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (207 pages) 225 1 $aAssociation for Women in Mathematics Series,$x2364-5733 ;$v14 311 $a3-319-98082-3 327 $aPreface -- Searching for superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models (Christina Edholm, et al) -- How Disease Risks Can Impact the Evolution of Social Behaviors and Emergent Population Organization (Nakeya Williams, et al) -- Mathematical Analysis of the Impact of Social Structure on Ectoparasite Load in Allogrooming Populations (Heather Z. Brooks, et al) -- Modeling the Argasid Tick (Ornithodoros Moubata) Life Cycle (Sara Clifton, et al) -- A Mathematical Model for Tumor-Immune Dynamics in Multiple Myeloma (Jill Gallaher, et al) -- Fluid Dynamics of Nematocyst Prey Capture (Wanda Strychalski, et al) -- Simulations of the Vascular Network Growth Process for Studying Placenta Structure and Function Associated with Autism (Catalina Anghel, et al) -- Placental Vessel Extraction with Shearlets, Laplacian Eigenmaps, and a Conditional Generative Adversarial Network (Catalina Anghel, et al) -- Author Index. 330 $aThis volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences. The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume. 410 0$aAssociation for Women in Mathematics Series,$x2364-5733 ;$v14 606 $aBiomathematics 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 615 0$aBiomathematics. 615 14$aMathematical and Computational Biology. 676 $a362.1068 702 $aRadunskaya$b Ami$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSegal$b Rebecca$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShtylla$b Blerta$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300141003321 996 $aUnderstanding Complex Biological Systems with Mathematics$91564907 997 $aUNINA