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101 0 $aeng
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200 00$aUsing mathematics to understand biological complexity $efrom cells to populations /$fedited by Rebecca Segal, Blerta Shtylla, Suzanne Sindi
205   $a1st ed. 2021.
210  1$aCham, Switzerland :$cSpringer,$d[2021]
210  4$d©2021
215   $a1 online resource (V, 216 p. 75 illus., 50 illus. in color.) 
225 1 $aAssociation for Women in Mathematics Series,$x2364-5733 ;$v22
311   $a3-030-57128-9 
327   $a1. Collaborative Workshop for Women in Mathematical Biology (R. Segal, B. Shtylla, S. Sindi) -- 2. Connecting Actin Polymer Dynamics Across Multiple Scales (C. Copos, B. Bannish, K. Gasior, R.L. Pinals, M.W. Rostami, A.T. Dawes) -- 3. Modeling RNA:DNA Hybrids with Formal Grammars (N. Jonoska, N. Obatake, S. Poznanovic, C. Price, M. Riehl, M. Vazquez) -- 4. Secondary Structure Ensemble Analysis via Community Detection (H. Du, M.M. Ferrari, C. Heitsch, F. Hurley, C.V. Mennicke, B.D. Sullivan, and B. Xu.)- 5. How Do Interventions Impact Malaria Dynamics Between Neighboring Countries? A Case Study with Botswana and Zimbabwe (F. Agusto, A. Goldberg, O. Ortega, Joan Ponce+ , Sofya Zaytseva, S. Sindi, Sally Blower) -- 6. Investigating the Impact of Combination Phage and Antibiotic Therapy (S. Banuelos, H. Gulbudak, M.A. Horn, Q. Huang, A. Nandi, H Ryu, R. Segal) -- 7. Mathematical Modeling of Retinal Degeneration (E. Camacho, A. Dobreva, K. Larripa, A. Radulescu, D. Schmidt, I. Trejo) -- 8. A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment (H. Cho, A.L. Lewis, K.M. Storey, R. Jennings, B. Shtylla, A.M. Reynolds, H.M. Byrne).
330   $aThis volume tackles a variety of biological and medical questions using mathematical models to understand complex system dynamics. Working in collaborative teams of six, each with a senior research mentor, researchers developed new mathematical models to address questions in a range of application areas. Topics include retinal degeneration, biopolymer dynamics, the topological structure of DNA, ensemble analysis, multidrug-resistant organisms, tumor growth modeling, and geospatial modeling of malaria. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Woman in Mathematical Biology hosted by the Institute of Pure and Applied Mathematics at UCLA in June 2019. Previous workshops in this series have occurred at IMA, NIMBioS, and MBI.
410  0$aAssociation for Women in Mathematics Series,$x2364-5733 ;$v22
606   $aBiological systems$xMathematical models
606   $aMathematical models
606   $aBiomathematics
615  0$aBiological systems$xMathematical models.
615  0$aMathematical models.
615  0$aBiomathematics.
676   $a570.151
702   $aSegal$b Rebecca
702   $aShtylla$b Blerta
702   $aSindi$b Suzanne
801  0$bMiAaPQ
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801  2$bUtOrBLW
906   $aBOOK
912   $a996466414603316
996   $aUsing mathematics to understand biological complexity$92831294
997   $aUNISA