4 edition of Advances in mathematical population dynamics--molecules, cells, and man found in the catalog.
Includes bibliographical references and indexes.
|Statement||editors, O. Arino, D. Axelrod, M. Kimmel ; collaborators, V. Capasso ... [et al.] ; technical assistant, A. Boussouar.|
|Series||Series in mathematical biology and medicine ;, vol. 6|
|Contributions||Arino, Ovide, 1947-, Axelrod, David E., 1940-, Kimmel, Marek, 1959-, Capasso, V. 1945-|
|LC Classifications||R853.M3 I57 1995|
|The Physical Object|
|Pagination||xxii, 839 p. :|
|Number of Pages||839|
|LC Control Number||98205920|
When the stem cell population is steady, the behavior of the semidifferentiated cell population depends on whether β = β 3 − β 1 − β 2 is greater or less than the critical value k 1 /m 1. If β cell population given by where D = α 2 N * 0 + k 0 N. Peer-reviewed, open access journals for science, technology, social science and medicine. Indexed in the leading abstracting and indexing databases.
On the other hand, those with mathematical training—mathematicians, engineers and physicists— now have increased opportunity to participate in molecular cell biology research. This book aims to provide both of these groups—readers with backgrounds in cell biology or mathematics—with. Search the world's most comprehensive index of full-text books. My library.
A mathematical model is formulated for the development of a population of cells in which the individual members may grow and divide or die. A given cell is characterized by its age and volume, and these parameters are assumed to determine the rate of volume growth and the probability per unit time of division or death. Amazing selection of modern and classic books in a wide range of literary genres available in digital PDF and EPUB format for Free Download.
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Advances in Mathematical Population Dynamics — Molecules, Cells and Man O Arino (Universite de Pau et des Pays de l’Adour, France) D Axelrod (Rutgers University, USA). Get this from a library. Advances in mathematical population dynamics--molecules, cells, and man: proceedings of the 4th International Conference on Mathematical Population Dynamics, May [Ovide Arino; David E Axelrod; Marek Kimmel; V Capasso;].
O. Arino, D. Axelrod, M. Kimmel (Eds.), Advances in Mathematical Population Dynamics—Molecules, Cells and Man, World Scientific ()Cited by: 5. Conclusion. In this paper, we have proposed and analyzed a mathematical model, with two control variables, describing HIV infection of CD4 cells T cells.
The mathematical analysis of the proposed model, validated by the numerical simulation results shows the effectiveness of the model in maximizing the concentration of uninfected CD4 + T cells, minimizing the concentrations of infected cells Cited by: on Mathematical Population Dynamics.
Advances in Mathematical Population Dynamics - Molecules, Cells and Man. Editors, O. Arino, D. Axelrod, and M.
Kimmel, Series in Mathematical Biology and Medicine, World Scientific, Singapore, New Jersey, London, Hong Kong Journals & Books; Help Download PDF In this paper we analyze a linear model of an age structured cell population with proliferating and quiescent compartments.
(Eds.), Advances in Mathematical Population Dynamics—Molecules, Cells and Man, World Scientific, Singapore (), p. Google Scholar. UlmAsymptotics of a new population. Purchase Population Dynamics - 1st Edition. Print Book & E-Book. ISBNTowards a Mathematical Theory of Complex Biological Systems (Series in Mathematical Biology and Medicine) C.
Bianca, N. Bellomo This monograph has the ambitious aim of developing a mathematical theory of complex biological systems with special attention cells the phenomena of ageing, degeneration and repair of biological tissues under individual.
"The main purpose of the book, in the author’s words, ‘is to provide an introduction to the theory of periodic semiflows on metric spaces’ and to apply this theory to a collection of mathematical equations from population dynamics.
The book presents its mathematical theory in a coherent and readable fashion. It should prove to be a. Part of the Interdisciplinary Applied Mathematics book series (IAM, volume 19) Qualitative analysis of the infinite model of drug resistance evolution. In: Advances in Mathematical Population Dynamics — Molecules, Cells and Man (Arino, O., Axelrod, D.
and Kimmel, M., eds.). Branching diffusion processes in population genetics. Iannelli, Mathematical Theory of Age-Structured Population Dynamics, Applied Mathematics Monographs 7 (Giardini Editorie Stampatori, Pisa, ).
Google Scholar D. Kirschner, Theor. In this paper, we develop a new approach to deal with asymptotic behavior of the age-structured homogeneous epidemic systems and discuss its application to the MSEIR epidemic model. For the homogeneous system, there is no attracting nontrivial equilibrium, instead we have to examine existence and stability of persistent solutions.
Assuming that the host population dynamics can be. This book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background. The work is focused on population dynamics and ecology, following a tradition that goes back to Lotka and Volterra, and includes a part devoted to the spread of infectious diseases, a field where mathematical modeling is extremely popular.
Advances in Mathematical Chemistry and Applications highlights the recent progress in the emerging discipline of discrete mathematical chemistry. Editors Subhash C. Basak, Guillermo Restrepo, and Jose Luis Villaveces have brought together 27 chapters written by.
Population Dynamics fills the gap between the classical supply-side population theory of Malthus and the modern demand-side theory of economic demography.
In doing so, author Cyrus Chu investigates specifically the dynamic macro implications of various static micro family economic decisions. Population dynamics is an important subject in mathematical biology. A cen tral problem is to study the long-term behavior of modeling systems.
Most of these systems are governed by various evolutionary equations such as difference, ordinary, functional, and partial differential equations (see, e. g., Reviews: 1.
The formulation, analysis, and re-evaluation of mathematical models in population biology has become a valuable source of insight to mathematicians and biologists alike. This book presents an overview and selected sample of these results and ideas, organized by biological theme rather than mathematical concept, with an emphasis on helping the reader develop appropriate modeling skills through.
Castillo-Chavez and Z. Feng, Mathematical Models for the Disease Dynamics of Tuberculosis, Advances in mathematical population dynamics - molecules, cells, and man: proceedings of 4th International Conference on Mathematical Population Dynamics, Rice University, Houston, Texas, USA, May (Singapore) (Ovide Arino, David E.
Population genetics is a subfield of genetics that deals with genetic differences within and between populations, and is a part of evolutionary s in this branch of biology examine such phenomena as adaptation, speciation, and population structure. Population genetics was a vital ingredient in the emergence of the modern evolutionary synthesis.
Book Description: The formulation, analysis, and re-evaluation of mathematical models in population biology has become a valuable source of insight to mathematicians and biologists alike.
This book presents an overview and selected sample of these results and ideas, organized by biological theme rather than mathematical concept, with an. Any of the DS books, most extended exposition Devaney (D).
12/12/ 7. Population dynamics - spatial effects - partial differential equations approach: Find a research paper on Math-Biology/Medicine that interests you and uses a PDE model.The fluorescent ubiquitination-based cell cycle indicator, also known as FUCCI, allows the visualization of the G1 and S/G2/M cell cycle phases of individual cells.
FUCCI consists of two fluorescent probes, so that cells in the G1 phase fluoresce red and cells in the S/G2/M phase fluoresce green. FUCCI reveals real-time information about cell cycle dynamics of individual cells, and can be used.There have been a number of major advances in molecular biology in the past few years and the aim of this review is to describe some of these advances, focusing on their benefits and limitations when applied to investigating pulmonary disorders.
It is written with the practising pulmonary researcher in mind, not as an introduction for the uninitiated. Useful web addresses and a list of.