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Understanding complex biological sys...

Radunskaya, Ami.

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Understanding complex biological systems with mathematics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding complex biological systems with mathematics/ edited by Ami Radunskaya, Rebecca Segal, Blerta Shtylla.
other author:	Radunskaya, Ami.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xiv, 198 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Biological systems - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-319-98083-6
ISBN:	9783319980836

Understanding complex biological systems with mathematics
Understanding complex biological systems with mathematics[electronic resource] /edited by Ami Radunskaya, Rebecca Segal, Blerta Shtylla. - Cham :Springer International Publishing :2018. - xiv, 198 p. :ill., digital ;24 cm. - Association for women in mathematics series,v.142364-5733 ;. - Association for women in mathematics series ;v.14..

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.

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 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.

ISBN: 9783319980836

Standard No.: 10.1007/978-3-319-98083-6doiSubjects--Topical Terms:

3413089
Biological systems
--Mathematics.

LC Class. No.: QH323.5 / .U53 2018

Dewey Class. No.: 571.7

Understanding complex biological systems with mathematics
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245 0 0 $a Understanding complex biological systems with mathematics $h [electronic resource] / $c edited by Ami Radunskaya, Rebecca Segal, Blerta Shtylla.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiv, 198 p. : $b ill., digital ; $c 24 cm.
490 1 $a Association for women in mathematics series, $x 2364-5733 ; $v v.14
505 0 $a 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.
520 $a 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 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.
650 0 $a Biological systems $x Mathematics. $3 3413089
650 0 $a Systems biology $x Mathematics. $3 3413090
650 1 4 $a Mathematical and Computational Biology. $3 1566274
700 1 $a Radunskaya, Ami. $3 2157922
700 1 $a Segal, Rebecca. $3 3413086
700 1 $a Shtylla, Blerta. $3 3413087
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Association for women in mathematics series ; $v v.14. $3 3413088
856 4 0 $u https://doi.org/10.1007/978-3-319-98083-6
950 $a Mathematics and Statistics (Springer-11649)