BIOMAT 2005 [[electronic resource] ] : proceedings of the International Symposium on Mathematical and Computational Biology, Rio de Janeiro, Brazil, 3-8 December 2005 / / edited by Rubem P. Mondaini, Rui Dilão
| BIOMAT 2005 [[electronic resource] ] : proceedings of the International Symposium on Mathematical and Computational Biology, Rio de Janeiro, Brazil, 3-8 December 2005 / / edited by Rubem P. Mondaini, Rui Dilão |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2006 |
| Descrizione fisica | 1 online resource (408 p.) |
| Disciplina | 570.1/5118 |
| Altri autori (Persone) |
MondainiR (Rubem)
DilãoRui |
| Soggetto topico |
Biology - Mathematical models
Biomathematics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-92491-1
9786611924911 981-277-368-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; Editorial Board of the BIOMAT Consortium ; Biological Modeling ; Modelling aspects of vascular cancer development ; 1. Introduction ; 2. Brief biological background ; 3. Cellular automaton model ; 4. Effects of hypoxia on cell cycle dynamics
5. The role of acidity 6. Discussion ; References ; Modelling cooperative phenomena in interacting cell systems with cellular automata ; 1. Introduction: roots of cellular automata ; 2. Cellular automaton definition ; 3. Cellular automaton models of cell interaction 4. An example: a cellular automaton model of a vascular tumor growth 5. Discussion ; References ; A mathematical analysis of cylindrical shaped aneurysms ; 1. Introduction ; 2. The Mathematical Model ; 3. The Dynamical Properties of the Model ; 4. Discussion ; References On the origin of metazoans 1. Introduction ; 2. Pattern Formation; 3. Coupling Pattern to Cell Shape ; 4. On Urcnidaria ; 5. On Urbilateria ; Appendix A ; Appendix B ; References; A software tool to model genetic regulatory networks: Applications to segmental patterning in Drosophila 1. Introduction 2. A model for the regulation of gene expression ; 3. The GeNetSim package ; 4. Segmental patterning in Drosophila ; References ; The mitochondrial Eve in an exponentially growing population and a critique to the out of Africa model for human evolution ; 1. Introduction 2. Percolation and mitochondrial DNA basics |
| Record Nr. | UNINA-9910451155703321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2006 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
BIOMAT 2005 [[electronic resource] ] : proceedings of the International Symposium on Mathematical and Computational Biology, Rio de Janeiro, Brazil, 3-8 December 2005 / / edited by Rubem P. Mondaini, Rui Dilão
| BIOMAT 2005 [[electronic resource] ] : proceedings of the International Symposium on Mathematical and Computational Biology, Rio de Janeiro, Brazil, 3-8 December 2005 / / edited by Rubem P. Mondaini, Rui Dilão |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2006 |
| Descrizione fisica | 1 online resource (408 p.) |
| Disciplina | 570.1/5118 |
| Altri autori (Persone) |
MondainiR (Rubem)
DilãoRui |
| Soggetto topico |
Biology - Mathematical models
Biomathematics |
| ISBN |
1-281-92491-1
9786611924911 981-277-368-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; Editorial Board of the BIOMAT Consortium ; Biological Modeling ; Modelling aspects of vascular cancer development ; 1. Introduction ; 2. Brief biological background ; 3. Cellular automaton model ; 4. Effects of hypoxia on cell cycle dynamics
5. The role of acidity 6. Discussion ; References ; Modelling cooperative phenomena in interacting cell systems with cellular automata ; 1. Introduction: roots of cellular automata ; 2. Cellular automaton definition ; 3. Cellular automaton models of cell interaction 4. An example: a cellular automaton model of a vascular tumor growth 5. Discussion ; References ; A mathematical analysis of cylindrical shaped aneurysms ; 1. Introduction ; 2. The Mathematical Model ; 3. The Dynamical Properties of the Model ; 4. Discussion ; References On the origin of metazoans 1. Introduction ; 2. Pattern Formation; 3. Coupling Pattern to Cell Shape ; 4. On Urcnidaria ; 5. On Urbilateria ; Appendix A ; Appendix B ; References; A software tool to model genetic regulatory networks: Applications to segmental patterning in Drosophila 1. Introduction 2. A model for the regulation of gene expression ; 3. The GeNetSim package ; 4. Segmental patterning in Drosophila ; References ; The mitochondrial Eve in an exponentially growing population and a critique to the out of Africa model for human evolution ; 1. Introduction 2. Percolation and mitochondrial DNA basics |
| Record Nr. | UNINA-9910777028903321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2006 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
BIOMAT 2012 [[electronic resource] ] : International Symposium on Mathematical and Computational Biology, Tempe, Arizona, USA, 6-10 November 2012 / / edited by Rubem P Mondaini
| BIOMAT 2012 [[electronic resource] ] : International Symposium on Mathematical and Computational Biology, Tempe, Arizona, USA, 6-10 November 2012 / / edited by Rubem P Mondaini |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (406 p.) |
| Disciplina | 570.15118 |
| Altri autori (Persone) | MondainiR (Rubem) |
| Soggetto topico |
Biology - Mathematical models
Biomathematics |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-4520-82-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Editorial Board of the BIOMAT Consortium; Professor C.E.M. Pearce - In Memoriam; Mathematical Epidemiology; Compartmental Age of Infection Epidemic Models Fred Brauer; 1. Epidemic models with homogeneous mixing; 1.1. The simple Kermack-McKendrick model; 1.2. Models with disease deaths; 1.3. More complicated epidemic models; 2. The age of infection epidemic model; 2.1. The initial exponential growth rate; 3. Heterogeneous mixing age of infection models; 3.1. The final size relations; 3.2. The initial exponential growth rate; 4. Different models for the same epidemic
ReferencesMathematical Modelling of Infectious Diseases; Lyme Pathogen Transmission in Tick Populations with Multiple Host Species Yijun Lou, Jianhong Wu, Xiaotian Wu; 1. Introduction; 2. The Model and Analysis; 2.1. The Tick Population Dynamics; 2.2. The Global Dynamics; 3. Numerical Simulations; 3.1. Climate Warming Effects; 3.2. Host Diversity Effects; 3.2.1. Effects of Adding Alternative Hosts without Interspecific Host Competition; 3.2.2. Effects of Adding the Alternative Host with Interspecific Host Competition; 3.3. Sensitivity Analysis; 4. Discussion; Acknowledgements; References Quantifying the Risk of Mosquito-Borne Infections Basing on the Equilibrium Prevalence in Humans Marcos Amaku, Francisco A.B. Coutinho, Eduardo Massad1. Introduction; 2. The Model; 3. Estimating Risks; 4. Discussion; Acknowledgments; Conflicts of Interest; References; Seasonal Fluctuation in Tsetse Fly Populations and Human African Trypanosomiasis: A Mathematical Model T. Madsen, D.I. Wallace, N. Zupan; 1. Introduction; 2. Insect population submodel; 2.1. Insect Model Equations; 2.2. Explanation of Equations; 2.3. Temperature Model; 3. Analysis of model 3.1. Instability of the model with constant temperature D3.2. Sufficient insect death leads to stability; 3.3. Variable temperature as a switched system; 4. Numerical results of insect submodel; 4.1. Rogers' model revisited; 5. Sensitivity of the model; 6. Summary of results; References; Modelling Physiological Disorders; A Mathematical Model for the Immunotherapy of Advanced Prostate Cancer Travis Portz, Yang Kuang; 1. Introduction; 2. The Model; 3. Numerical Simulations; 4. Mathematical Analysis; 5. Discussion; Acknowledgements; References Seizure Manifold of the Epileptic Brain: A State Space Reconstruction Approach Mujahid N. Syed, Pando G. Georgiev, Panos M. Pardalos1. Introduction; 2. Review; 2.1. Embedding; 3. Methodology; 3.1. Preprocessing; Filtering Noise; Identifying Stationarity; Identifying Determinism; 3.2. Manifold Generation; Time Delay Embedding; Embedding Dimension; Delay Time; 3.3. Measures of DDS; Fractal Dimension; Lyapunov Exponents; Kolmogorov Entropy; 3.4. Surrogate Tests; Surrogate Data Test 1; Surrogate Data Test 2; Surrogate Data Test 3; 3.5. Low Dimensional Phase Portraits; 4. Seizure Manifold 5. Criticism |
| Record Nr. | UNINA-9910452302903321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2013 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||