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Understanding Complex Biological Systems with Mathematics edited by Ami Radunskaya, Rebecca Segal, Blerta Shtylla

Springer Nature - Complete eBooks Available online

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Format:
Book
Contributor:
Radunskaya, Ami, Editor.
Segal, Rebecca., Editor.
Shtylla, Blerta., Editor.
SpringerLink (Online service)
Series:
Association for Women in Mathematics Series 2364-5741 ; 14
Association for Women in Mathematics Series 2364-5741 14
Language:
English
Subjects (All):
Biomathematics.
Mathematical and Computational Biology.
Local Subjects:
Mathematical and Computational Biology.
Physical Description:
XIV, 198 pages 61 illustrations, 36 illustrations in color. online resource
Edition:
1st edition 2018
Contained In:
Springer Nature eBook
Place of Publication:
Cham Springer International Publishing Imprint: Springer 2018
System Details:
text file PDF
Summary:
This 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 groupsat 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
Contents:
Preface
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
Other Format:
Printed edition:
ISBN:
9783319980836
Access Restriction:
Restricted for use by site license

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