Frank C. Hoppensteadt, Charles S. Peskin

Modeling and Simulation in Medicine and the Life Sciences (eBook, PDF)

• Format: PDF

Produktbeschreibung

The result of lectures given by the authors at New York University, the University of Utah, and Michigan State University, the material is written for students who have had only one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels through early graduate courses. Numerous exercises are given as well as solutions to selected exercises, so as to lead readers to discover interesting extensions of that material. Throughout, illustrations depict physiological processes, population biology phenomena, corresponding models, and the results of computer simulations. Topics covered range from population phenomena to demographics, genetics, epidemics and dispersal; in physiological processes, including the circulation, gas exchange in the lungs, control of cell volume, the renal counter-current multiplier mechanism, and muscle mechanics; to mechanisms of neural control. Each chapter is graded in difficulty, so a reading of the first parts of each provides an elementary introduction to the processes and their models.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 355
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9780387215716
• Artikelnr.: 44052025

Autorenporträt

Frank C. Hoppensteadt, Arizona State University, Tempe, AZ, USA / Charles S. Peskin, University of New York, NY, USA

Inhaltsangabe

1 The Heart and Circulation.- 1.1 Plan of the Circulation.- 1.2 Volume, Flow, and Pressure.- 1.3 Resistance and Compliance Vessels.- 1.4 The Heart as a Pair of Pumps.- 1.5 Mathematical Model of the Uncontrolled Circulation.- 1.6 Balancing the Two Sides of the Heart and the Two Circulations.- 1.7 The Need for External Circulatory Control Mechanisms.- 1.8 Neural Control: The Baroreceptor Loop.- 1.9 Autoregulation.- 2 Gas Exchange in the Lungs.- 2.1 The Ideal Gas Law and the Solubility of Gases.- 2.2 The Equations of Gas Transport in One Alveolus.- 2.3 Gas Transport in the Lung.- 2.4 Optimal Gas Transport.- 2.5 Mean Alveolar and Arterial Partial Pressures.- 2.6 Transport of O2.- 2.7 Computer Solution of the Equations for O2 Transport in the Lung.- 2.8 Computing Projects Concerning Oxygen Transport by the Lung.- 2.9 Annotated References.- Exercises.- 3 Control of Cell Volume and Electrical Properties of Cell Membranes.- 3.1 Osmotic Pressure and the Work of Concentration.- 3.2 A Simple Model of Cell Volume Control.- 3.3 The Movement of Ions Across Cell Membranes.- 3.4 The Interaction of Electrical and Osmotic Effects.- 3.5 The Hodgkin-Huxley Equations for the Nerve Action Potential.- 3.6 Computer Simulation of the Nerve Action Potential.- 3.7 Suggestions for Computing Projects Concerning the Nerve Impulse.- 3.8 Annotated References.- Exercises.- 4 The Renal Countercurrent Mechanism.- 4.1 The Nephron.- 4.2 Dynamics of Na+ and H2O: Transport along the Renal Tubules.- 4.3 The Loop of Henle.- 4.4 The Juxtaglomerular Apparatus and the Renin-Angiotensin System.- 4.5 The Distal Tubule and Collecting Duct: Concentrating and Diluting Modes.- 4.6 Remarks on the Significance of the Juxtaglomerular Apparatus.- 4.7 How Nephrons Do Better Than a Factor of e.- 4.8 Computing Project on theInteracting Nephron Population Model.- 4.9 Annotated References.- Exercises.- 5 Muscle Mechanics.- 5.1 The Force-Velocity Curve.- 5.2 Crossbridge Dynamics.- 5.3 Computer Simulation of Crossbridge Attachment and Detachment.- 5.4 Suggested Computing Projects on Crossbridge Dynamics.- 5.5 Annotated References.- Exercises.- 6 Neural Systems.- 6.1 Guttman's Experiments on Phase Locking.- 6.2 Biological Rhythms.- 6.3 Model Neural Networks.- 6.4 Annotated References.- Exercises.- 7 Population Dynamics.- 7.1 Bacterial Cultures.- 7.2 Age Structures.- 7.3 Microbial Ecology.- 7.4 Nonlinear Reproduction Curves.- 7.5 Controlling Populations.- 7.6 Annotated References.- Exercises.- 8 Genetics.- 8.1 Population Genetics.- 8.2 Biotechnology.- 8.3 Annotated References.- Exercises.- 9 A Theory of Epidemics.- 9.1 Spread of Infection Within a Family.- 9.2 The Threshold of an Epidemic.- 9.3 Predicting the Severity of an Epidemic.- 9.4 Annotated References.- Exercises.- 10 Patterns of Population Growth and Dispersal.- 10.1 Random Walks and the Process of Diffusion.- 10.2 Bacterial Growth on a Petri Plate.- 10.3 Concluding Remarks.- 10.4 Annotated References.- Exercises.- Appendix A Getting Started with Matrices and Matlab.- Appendix B Background on Random Processes.

Rezensionen

"This is an introductory book on mathematical modeling in the bio-sciences. It is written for mathematicians as well as for life scientists. Simple models are presented, and previous knowledge of biology is not required for understanding the book. All the essential biological background is given in the text, while basic mathematical knowledge is sufficient for reading a large part of the book.

In each chapter, the material is organized in increasing order of complexity followed by exercises. Some of the exercises deal with the material of that chapter, while others are projects that extend the preceding material. Many chapters contain sections with suggestions for computing projects. Simulations are done in Matlab and computer code is included in the text...." (Miljenko Marusic, Mathematical Reviews)