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Título : Biological Physics : Poincaré Seminar 2009 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Vincent Rivasseau Editorial: Basel : Springer Basel Fecha de publicación: 2011 Colección: Progress in Mathematical Physics, ISSN 1544-9998 num. 60 Número de páginas: X, 170 p Il.: online resource ISBN/ISSN/DL: 978-3-0346-0428-4 Idioma : Inglés (eng) Palabras clave: Mathematics Biomathematics Biophysics Biological physics Mathematical and Computational Biology Physics Clasificación: 51 Matemáticas Resumen: This new volume in the Poincaré Seminar Series, describing recent developments at the interface between physics and biology, is directed towards a broad audience of physicists, biologists, and mathematicians. Both the theoretical and experimental aspects are covered, and particular care is devoted to the pedagogical nature of the presentations. The first survey article, by Jean-Francois Joanny and Jacques Prost, describes the theoretical advances made in the study of "active gels", with applications to liquid crystals and cell motility. Jasper van der Gucht and Cécile Sykes then report on recent advances made with biomimetic model systems in the understanding of cytokinesis. The next article, by Jonathon Howard, presents several molecular models for motor proteins, which are compared with experimental results for kinesin. David Lacoste and Kirone Mallick then show theoretically that similar ratchet models of motor proteins naturally satisfy a fundamental time-reversal symmetry, the Gallavotti-Cohen fluctuation relation. Jean-Francois Allemand, David Bensimon and Vincent Croquette and their coauthors describe the latest advances made in the real-time single molecule study of the enzymes involved in DNA replication. Raymond E. Goldstein addresses the problem of understanding, from a physics perspective, the driving forces behind the biological evolution of multicellularity, using Volvocine algae as model organisms. Stanislas Dehaene finally addresses the major challenge of understanding the neuronal mechanism of consciousness, and speculates on the possible theoretical explanations of MRI experiments. Picture of the Poincaré Seminar 2009 Contributing authors: Jean-François Allemand, David Bensimon, Vincent Croquette, Stanislas Dehaene, Ding Fangyuan, Raymond E. Goldstein, Jonathon Howard, Jean-François Joanny, David Lacoste, Timothée Lionnet, Kirone Mallick, Maria Manosas, Élise Praly, Jacques Prost, Cécile Sykes, Jasper van der Gucht Nota de contenido: Foreword -- Jean-François Joanny and Jacques Prost; Constructing Tools for the Description of Cell Dynamics -- Jasper van der Gucht and Cécile Sykes; A Physical Model of Cellular Symmetry Breaking -- Jonathon Howard; Motor Proteins as Nanomachines: The Roles of Thermal Fluctuations in Generating Force and Motion -- David Lacoste and Kirone Mallick: Fluctuation Relations for Molecular Motors -- Maria Manosas, Timothée Lionnet, Élise Praly, Ding Fangyuan, Jean-Franzcois Allemand, David Bensimon and Vincent Croquette; Studies of DNA-Replication at the Single Molecule Level Using Magnetic Tweezers -- Raymond E. Goldstein; Evolution of Biological Complexity -- Stanislas Dehaene; Conscious and Nonconscious Processes: Distinct Forms of Evidence Accumulation? En línea: http://dx.doi.org/10.1007/978-3-0346-0428-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33243 Biological Physics : Poincaré Seminar 2009 [documento electrónico] / SpringerLink (Online service) ; Vincent Rivasseau . - Basel : Springer Basel, 2011 . - X, 170 p : online resource. - (Progress in Mathematical Physics, ISSN 1544-9998; 60) .
ISBN : 978-3-0346-0428-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Biomathematics Biophysics Biological physics Mathematical and Computational Biology Physics Clasificación: 51 Matemáticas Resumen: This new volume in the Poincaré Seminar Series, describing recent developments at the interface between physics and biology, is directed towards a broad audience of physicists, biologists, and mathematicians. Both the theoretical and experimental aspects are covered, and particular care is devoted to the pedagogical nature of the presentations. The first survey article, by Jean-Francois Joanny and Jacques Prost, describes the theoretical advances made in the study of "active gels", with applications to liquid crystals and cell motility. Jasper van der Gucht and Cécile Sykes then report on recent advances made with biomimetic model systems in the understanding of cytokinesis. The next article, by Jonathon Howard, presents several molecular models for motor proteins, which are compared with experimental results for kinesin. David Lacoste and Kirone Mallick then show theoretically that similar ratchet models of motor proteins naturally satisfy a fundamental time-reversal symmetry, the Gallavotti-Cohen fluctuation relation. Jean-Francois Allemand, David Bensimon and Vincent Croquette and their coauthors describe the latest advances made in the real-time single molecule study of the enzymes involved in DNA replication. Raymond E. Goldstein addresses the problem of understanding, from a physics perspective, the driving forces behind the biological evolution of multicellularity, using Volvocine algae as model organisms. Stanislas Dehaene finally addresses the major challenge of understanding the neuronal mechanism of consciousness, and speculates on the possible theoretical explanations of MRI experiments. Picture of the Poincaré Seminar 2009 Contributing authors: Jean-François Allemand, David Bensimon, Vincent Croquette, Stanislas Dehaene, Ding Fangyuan, Raymond E. Goldstein, Jonathon Howard, Jean-François Joanny, David Lacoste, Timothée Lionnet, Kirone Mallick, Maria Manosas, Élise Praly, Jacques Prost, Cécile Sykes, Jasper van der Gucht Nota de contenido: Foreword -- Jean-François Joanny and Jacques Prost; Constructing Tools for the Description of Cell Dynamics -- Jasper van der Gucht and Cécile Sykes; A Physical Model of Cellular Symmetry Breaking -- Jonathon Howard; Motor Proteins as Nanomachines: The Roles of Thermal Fluctuations in Generating Force and Motion -- David Lacoste and Kirone Mallick: Fluctuation Relations for Molecular Motors -- Maria Manosas, Timothée Lionnet, Élise Praly, Ding Fangyuan, Jean-Franzcois Allemand, David Bensimon and Vincent Croquette; Studies of DNA-Replication at the Single Molecule Level Using Magnetic Tweezers -- Raymond E. Goldstein; Evolution of Biological Complexity -- Stanislas Dehaene; Conscious and Nonconscious Processes: Distinct Forms of Evidence Accumulation? En línea: http://dx.doi.org/10.1007/978-3-0346-0428-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33243 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Mathematical Modeling of Biological Systems, Volume I / SpringerLink (Online service) ; Andreas Deutsch ; Lutz Brusch ; Helen Byrne ; Gerda de Vries ; Hanspeter Herzel (2007)
Título : Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Deutsch ; Lutz Brusch ; Helen Byrne ; Gerda de Vries ; Hanspeter Herzel Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2007 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVIII, 382 p. 120 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4558-8 Idioma : Inglés (eng) Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis [documento electrónico] / SpringerLink (Online service) ; Andreas Deutsch ; Lutz Brusch ; Helen Byrne ; Gerda de Vries ; Hanspeter Herzel . - Boston, MA : Birkhäuser Boston, 2007 . - XVIII, 382 p. 120 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4558-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Mathematics for Life Science and Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Yasuhiro Takeuchi ; Yoh Iwasa ; Sato, Kazunori Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210 Número de páginas: X, 228 p Il.: online resource ISBN/ISSN/DL: 978-3-540-34426-1 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Mathematics for Life Science and Medicine [documento electrónico] / SpringerLink (Online service) ; Yasuhiro Takeuchi ; Yoh Iwasa ; Sato, Kazunori . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - X, 228 p : online resource. - (Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210) .
ISBN : 978-3-540-34426-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Modeling in Biopharmaceutics, Pharmacokinetics, and Pharmacodynamics : Homogeneous and Heterogeneous Approaches Tipo de documento: documento electrónico Autores: Panos Macheras ; SpringerLink (Online service) ; Athanassios Iliadis Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Interdisciplinary Applied Mathematics, ISSN 0939-6047 num. 30 Número de páginas: XX, 444 p Il.: online resource ISBN/ISSN/DL: 978-0-387-31910-0 Idioma : Inglés (eng) Palabras clave: Mathematics Pharmacology Biochemistry Applied mathematics Engineering Biomathematics Biophysics Biological physics Biomedical engineering Mathematical and Computational Biology Pharmacology/Toxicology Physics Biochemistry, general Applications of Clasificación: 51 Matemáticas Resumen: The state of the art in Biopharmaceutics, Pharmacokinetics, and Pharmacodynamics Modeling is presented in this book. It shows how advanced physical and mathematical methods can expand classical models in order to cover heterogeneous drug-biological processes and therapeutic effects in the body. The book is divided into four parts; the first deals with the fundamental principles of fractals, diffusion and nonlinear dynamics; the second with drug dissolution, release, and absorption; the third with empirical, compartmental, and stochastic pharmacokinetic models, and the fourth mainly with nonclassical aspects of pharmacodynamics. The classical models that have relevance and application to these sciences are also considered throughout. Many examples are used to illustrate the intrinsic complexity of drug administration related phenomena in the human, justifying the use of advanced modeling methods. This timely and useful book will appeal to graduate students and researchers in pharmacology, pharmaceutical sciences, bioengineering, and physiology Nota de contenido: Basic Concepts -- The Geometry of Nature -- Diffusion and Kinetics -- Nonlinear Dynamics -- Modeling in Biopharmaceutics -- Drug Release -- Drug Dissolution -- Oral Drug Absorption -- Modeling in Pharmacokinetics -- Empirical Models -- Deterministic Compartmental Models -- Stochastic Compartmental Models -- Modeling in Pharmacodynamics -- Classical Pharmacodynamics -- Nonclassical Pharmacodynamics En línea: http://dx.doi.org/10.1007/0-387-31910-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34793 Modeling in Biopharmaceutics, Pharmacokinetics, and Pharmacodynamics : Homogeneous and Heterogeneous Approaches [documento electrónico] / Panos Macheras ; SpringerLink (Online service) ; Athanassios Iliadis . - New York, NY : Springer New York, 2006 . - XX, 444 p : online resource. - (Interdisciplinary Applied Mathematics, ISSN 0939-6047; 30) .
ISBN : 978-0-387-31910-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Pharmacology Biochemistry Applied mathematics Engineering Biomathematics Biophysics Biological physics Biomedical engineering Mathematical and Computational Biology Pharmacology/Toxicology Physics Biochemistry, general Applications of Clasificación: 51 Matemáticas Resumen: The state of the art in Biopharmaceutics, Pharmacokinetics, and Pharmacodynamics Modeling is presented in this book. It shows how advanced physical and mathematical methods can expand classical models in order to cover heterogeneous drug-biological processes and therapeutic effects in the body. The book is divided into four parts; the first deals with the fundamental principles of fractals, diffusion and nonlinear dynamics; the second with drug dissolution, release, and absorption; the third with empirical, compartmental, and stochastic pharmacokinetic models, and the fourth mainly with nonclassical aspects of pharmacodynamics. The classical models that have relevance and application to these sciences are also considered throughout. Many examples are used to illustrate the intrinsic complexity of drug administration related phenomena in the human, justifying the use of advanced modeling methods. This timely and useful book will appeal to graduate students and researchers in pharmacology, pharmaceutical sciences, bioengineering, and physiology Nota de contenido: Basic Concepts -- The Geometry of Nature -- Diffusion and Kinetics -- Nonlinear Dynamics -- Modeling in Biopharmaceutics -- Drug Release -- Drug Dissolution -- Oral Drug Absorption -- Modeling in Pharmacokinetics -- Empirical Models -- Deterministic Compartmental Models -- Stochastic Compartmental Models -- Modeling in Pharmacodynamics -- Classical Pharmacodynamics -- Nonclassical Pharmacodynamics En línea: http://dx.doi.org/10.1007/0-387-31910-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34793 Ejemplares
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Título : Modelling, Analysis and Optimization of Biosystems Tipo de documento: documento electrónico Autores: Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Número de páginas: XI, 203 p Il.: online resource ISBN/ISSN/DL: 978-3-540-71453-8 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Hematology Biology Technique Biomathematics Control engineering Robotics Mechatronics Mathematical and Computational Biological Techniques Operation Research/Decision Theory Control, Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660 Modelling, Analysis and Optimization of Biosystems [documento electrónico] / Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XI, 203 p : online resource.
ISBN : 978-3-540-71453-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Hematology Biology Technique Biomathematics Control engineering Robotics Mechatronics Mathematical and Computational Biological Techniques Operation Research/Decision Theory Control, Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
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