Información del autor
Autor Alberto D'Onofrio |
Documentos disponibles escritos por este autor (3)
Refinar búsquedaBounded Noises in Physics, Biology, and Engineering / SpringerLink (Online service) ; Alberto D'Onofrio (2013)
Título : Bounded Noises in Physics, Biology, and Engineering Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alberto D'Onofrio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Birkhäuser Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVI, 285 p. 87 illus., 39 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-7385-5 Idioma : Inglés (eng) Palabras clave: Mathematics System theory Mathematical models Probabilities Biomathematics Physics Applied mathematics Engineering Modeling and Industrial Computational Biology Theoretical, Appl.Mathematics/Computational Methods of Probability Theory Stochastic Processes Complex Systems Clasificación: 51 Matemáticas Resumen: Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological system that are caused by its interaction with the external world. Bounded Noises in Physics, Biology, and Engineering is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research. The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded stochastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on stochastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis. Bounded Noises in Physics, Biology, and Engineering is intended for scientists working on stochastic processes with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of stochastic modeling, from advanced undergraduates to senior researchers Nota de contenido: Introduction -- Part I : Modeling of Bounded Noises and Their Applications in Physics -- On Bounded Stochastic Processes -- Dynamics of Systems With Randomly Disordered Periodic Excitations -- Noise-Induced Phenomena: Effects of Noises Based on Tsallis Statistics -- Dynamical Systems Driven by Dichotomous Noise -- Stochastic Oscillator : Brownian Motion With Adhesion -- Numerical Study of Energetic Stability For Harmonic Oscillator With Fluctuating Damping Parameter -- A Moment-Based Approach to Bounded Non-Gaussian Colored Noise -- Spatiotemporal Bounded Noises, and Their Application to the Ginzburg-Landau Equation -- Part II: Bounded Noises in the Framework of Discrete and Continuous Random Dynamical Systems -- Bifurcations of Random Differential Equations With Bounded Noise -- Effects of Bounded Random Perturbations on Discrete Dynamical Systems -- Part III: Bounded Stochastic Fluctuations in Biology -- Bounded Stochastic Perturbations May Induce Non-Genetic Resistance to Anti-Tumor Chemotherapy -- Interplay Between Cross Correlation and Delays in the Sine-Wienernoise-Induced Transitions -- Bounded Extrinsic Noises Affecting Biochemical Networks With Low Molecule Numbers -- Part IV: Bounded Noises: Applications in Engineering -- Almost Sure Stability of Fractional Viscoelastic Systems Driven By Bounded Noises -- Model Selection for Random Functions With Bounded Range. Applications in Science and Engineering -- From Model-Based to Data-Driven Filter Design En línea: http://dx.doi.org/10.1007/978-1-4614-7385-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32353 Bounded Noises in Physics, Biology, and Engineering [documento electrónico] / SpringerLink (Online service) ; Alberto D'Onofrio . - New York, NY : Springer New York : Imprint: Birkhäuser, 2013 . - XVI, 285 p. 87 illus., 39 illus. in color : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-1-4614-7385-5
Idioma : Inglés (eng)
Palabras clave: Mathematics System theory Mathematical models Probabilities Biomathematics Physics Applied mathematics Engineering Modeling and Industrial Computational Biology Theoretical, Appl.Mathematics/Computational Methods of Probability Theory Stochastic Processes Complex Systems Clasificación: 51 Matemáticas Resumen: Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological system that are caused by its interaction with the external world. Bounded Noises in Physics, Biology, and Engineering is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research. The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded stochastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on stochastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis. Bounded Noises in Physics, Biology, and Engineering is intended for scientists working on stochastic processes with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of stochastic modeling, from advanced undergraduates to senior researchers Nota de contenido: Introduction -- Part I : Modeling of Bounded Noises and Their Applications in Physics -- On Bounded Stochastic Processes -- Dynamics of Systems With Randomly Disordered Periodic Excitations -- Noise-Induced Phenomena: Effects of Noises Based on Tsallis Statistics -- Dynamical Systems Driven by Dichotomous Noise -- Stochastic Oscillator : Brownian Motion With Adhesion -- Numerical Study of Energetic Stability For Harmonic Oscillator With Fluctuating Damping Parameter -- A Moment-Based Approach to Bounded Non-Gaussian Colored Noise -- Spatiotemporal Bounded Noises, and Their Application to the Ginzburg-Landau Equation -- Part II: Bounded Noises in the Framework of Discrete and Continuous Random Dynamical Systems -- Bifurcations of Random Differential Equations With Bounded Noise -- Effects of Bounded Random Perturbations on Discrete Dynamical Systems -- Part III: Bounded Stochastic Fluctuations in Biology -- Bounded Stochastic Perturbations May Induce Non-Genetic Resistance to Anti-Tumor Chemotherapy -- Interplay Between Cross Correlation and Delays in the Sine-Wienernoise-Induced Transitions -- Bounded Extrinsic Noises Affecting Biochemical Networks With Low Molecule Numbers -- Part IV: Bounded Noises: Applications in Engineering -- Almost Sure Stability of Fractional Viscoelastic Systems Driven By Bounded Noises -- Model Selection for Random Functions With Bounded Range. Applications in Science and Engineering -- From Model-Based to Data-Driven Filter Design En línea: http://dx.doi.org/10.1007/978-1-4614-7385-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32353 Ejemplares
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Título : Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Piero Manfredi ; Alberto D'Onofrio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIII, 329 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5474-8 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases [documento electrónico] / SpringerLink (Online service) ; Piero Manfredi ; Alberto D'Onofrio . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIII, 329 p : online resource.
ISBN : 978-1-4614-5474-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Ejemplares
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Título : New Challenges for Cancer Systems Biomedicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alberto D'Onofrio ; Paola Cerrai ; Alberto Gandolfi Editorial: Milano : Springer Milan Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: SIMAI Springer Series, ISSN 2280-840X Número de páginas: XII, 400 p Il.: online resource ISBN/ISSN/DL: 978-88-470-2571-4 Idioma : Inglés (eng) Palabras clave: Mathematics Cancer research Immunology Partial differential equations Biomathematics Biophysics Biological physics Physiological, Cellular and Medical Topics Research Physics Differential Equations Clasificación: 51 Matemáticas Resumen: The aim of this book is not only to illustrate the state of the art of tumor systems biomedicine, but also and mainly to explicitly capture the fact that a increasing number of biomedical scientists is now directly working on mathematical modeling, and a larger number are collaborating with bio-mathematical scientists. Moreover, a number of biomathematicians started working in biomedical institutions. The book is characterized by a coherent view of tumor modeling, based on the concept that mathematical modeling is (with medicine and molecular biology) one of the three pillars of molecular medicine. Indeed this volume is characterized by a well-structured presence of a large number of biomedical scientists directly working in Mathematical or Systems Biomedicine, and of a number biomathematicians working in hospitals. This give to this book an unprecedented tone, providing an original interdisciplinary insight into the biomedical applications. Finally, all biomedical contributors were asked to briefly summarize in one section of their contributes their point of view on her/his own interactions with quantitative scientists working in Systems Biomedicine Nota de contenido: Part I Towards a Comprehensive Theory of Cancer Growth -- Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment -- Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer -- Phase Transitions in Cancer -- Part II Cancer Related Signalling Pathways -- Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations -- Understanding Cell Fate Decisions by Identifying Crucial System Dynamics -- Modelling Biochemical Pathways with the Calculus of Looping Sequences -- Dynamic Simulations of Pathways Downstream of TGFß, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors -- Part III Basic Mechanisms of Tumor Progression -- Some Results on the Population Behavior of Cancer Stem Cells -- Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity -- Cell-Cell Interactions in Solid Tumors - the Role of Cancer Stem Cells -- Hybrid Cellular Potts Model for Solid Tumor Growth -- Part IV Tumor-Immune System Interplay and Immunotherapy -- Computational Models as Novel Tools for Cancer Vaccines -- On the Dynamics of Tumor-Immune System Interactions and Combined Chemo- and Immunotherapy -- Modeling the Kinetics of the Immune Response -- Part V Computational Method for Improving Chemotherapy.- Optimizing Cancer Chemotherapy: from Mathematical Theories to Clinical Treatment -- A Systems Biomedicine Approach for Chronotherapeutics Optimization: Focus on the Anticancer Drug Irinotecan -- Modeling the Dynamics of HCV Infected Cells to Tailor Antiviral Therapy in Clinical Practice: Can This Approach Fit for Neoplastic Cells? -- Introducing Drug Transport Early in the Design of Hypoxia Selective Anticancer Agents Using a Mathematical Modelling Approach -- Top-Down Multiscale Simulation of Tumor Response to Treatment in the Context of In Silico Oncology. The Notion of Oncosimulator -- Challenges in the Integration of Flow Cytometry and Time-Lapse Live Cell Imaging Data Using a Cell Proliferation Model En línea: http://dx.doi.org/10.1007/978-88-470-2571-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33044 New Challenges for Cancer Systems Biomedicine [documento electrónico] / SpringerLink (Online service) ; Alberto D'Onofrio ; Paola Cerrai ; Alberto Gandolfi . - Milano : Springer Milan : Imprint: Springer, 2012 . - XII, 400 p : online resource. - (SIMAI Springer Series, ISSN 2280-840X) .
ISBN : 978-88-470-2571-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Cancer research Immunology Partial differential equations Biomathematics Biophysics Biological physics Physiological, Cellular and Medical Topics Research Physics Differential Equations Clasificación: 51 Matemáticas Resumen: The aim of this book is not only to illustrate the state of the art of tumor systems biomedicine, but also and mainly to explicitly capture the fact that a increasing number of biomedical scientists is now directly working on mathematical modeling, and a larger number are collaborating with bio-mathematical scientists. Moreover, a number of biomathematicians started working in biomedical institutions. The book is characterized by a coherent view of tumor modeling, based on the concept that mathematical modeling is (with medicine and molecular biology) one of the three pillars of molecular medicine. Indeed this volume is characterized by a well-structured presence of a large number of biomedical scientists directly working in Mathematical or Systems Biomedicine, and of a number biomathematicians working in hospitals. This give to this book an unprecedented tone, providing an original interdisciplinary insight into the biomedical applications. Finally, all biomedical contributors were asked to briefly summarize in one section of their contributes their point of view on her/his own interactions with quantitative scientists working in Systems Biomedicine Nota de contenido: Part I Towards a Comprehensive Theory of Cancer Growth -- Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment -- Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer -- Phase Transitions in Cancer -- Part II Cancer Related Signalling Pathways -- Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations -- Understanding Cell Fate Decisions by Identifying Crucial System Dynamics -- Modelling Biochemical Pathways with the Calculus of Looping Sequences -- Dynamic Simulations of Pathways Downstream of TGFß, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors -- Part III Basic Mechanisms of Tumor Progression -- Some Results on the Population Behavior of Cancer Stem Cells -- Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity -- Cell-Cell Interactions in Solid Tumors - the Role of Cancer Stem Cells -- Hybrid Cellular Potts Model for Solid Tumor Growth -- Part IV Tumor-Immune System Interplay and Immunotherapy -- Computational Models as Novel Tools for Cancer Vaccines -- On the Dynamics of Tumor-Immune System Interactions and Combined Chemo- and Immunotherapy -- Modeling the Kinetics of the Immune Response -- Part V Computational Method for Improving Chemotherapy.- Optimizing Cancer Chemotherapy: from Mathematical Theories to Clinical Treatment -- A Systems Biomedicine Approach for Chronotherapeutics Optimization: Focus on the Anticancer Drug Irinotecan -- Modeling the Dynamics of HCV Infected Cells to Tailor Antiviral Therapy in Clinical Practice: Can This Approach Fit for Neoplastic Cells? -- Introducing Drug Transport Early in the Design of Hypoxia Selective Anticancer Agents Using a Mathematical Modelling Approach -- Top-Down Multiscale Simulation of Tumor Response to Treatment in the Context of In Silico Oncology. The Notion of Oncosimulator -- Challenges in the Integration of Flow Cytometry and Time-Lapse Live Cell Imaging Data Using a Cell Proliferation Model En línea: http://dx.doi.org/10.1007/978-88-470-2571-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33044 Ejemplares
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