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Link de la búsquedaStatistical Models and Methods for Biomedical and Technical Systems / SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol (2008)
Título : Statistical Models and Methods for Biomedical and Technical Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXXVI, 556 p. 55 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4619-6 Idioma : Inglés (eng) Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Statistical Models and Methods for Biomedical and Technical Systems [documento electrónico] / SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol . - Boston, MA : Birkhäuser Boston, 2008 . - XXXVI, 556 p. 55 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4619-6
Idioma : Inglés (eng)
Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Ejemplares
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Título : Handbook of Optimization in Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; H. Edwin Romeijn ; Panos M. Pardalos Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 26 Número de páginas: XIII, 442 p Il.: online resource ISBN/ISSN/DL: 978-0-387-09770-1 Idioma : Inglés (eng) Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 Handbook of Optimization in Medicine [documento electrónico] / SpringerLink (Online service) ; H. Edwin Romeijn ; Panos M. Pardalos . - Boston, MA : Springer US, 2009 . - XIII, 442 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 26) .
ISBN : 978-0-387-09770-1
Idioma : Inglés (eng)
Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 Ejemplares
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Título : Computational Neuroscience Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wanpracha Chaovalitwongse ; Panos M. Pardalos ; Petros Xanthopoulos Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 38 Número de páginas: XVI, 396 p Il.: online resource ISBN/ISSN/DL: 978-0-387-88630-5 Idioma : Inglés (eng) Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Computational Neuroscience [documento electrónico] / SpringerLink (Online service) ; Wanpracha Chaovalitwongse ; Panos M. Pardalos ; Petros Xanthopoulos . - New York, NY : Springer New York : Imprint: Springer, 2010 . - XVI, 396 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 38) .
ISBN : 978-0-387-88630-5
Idioma : Inglés (eng)
Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Ejemplares
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Título : Mathematical Methods and Models in Biomedicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Urszula Ledzewicz ; Schättler, Heinz ; Avner Friedman ; Eugene Kashdan Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Lecture Notes on Mathematical Modelling in the Life Sciences, ISSN 2193-4789 Número de páginas: XI, 427 p. 94 illus Il.: online resource ISBN/ISSN/DL: 978-1-4614-4178-6 Idioma : Inglés (eng) Palabras clave: Mathematics Life sciences Mathematical models optimization Biomathematics Biomedical engineering and Computational Biology Modeling Industrial Sciences, general Engineering Optimization Clasificación: 51 Matemáticas Resumen: Mathematical biomedicine is a rapidly developing interdisciplinary field of research that connects the natural and exact sciences in an attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods and procedures that can be brought in to meet these challenges and this book presents a palette of such tools ranging from discrete cellular automata to cell population based models described by ordinary differential equations to nonlinear partial differential equations representing complex time- and space-dependent continuous processes. Both stochastic and deterministic methods are employed to analyze biological phenomena in various temporal and spatial settings. This book illustrates the breadth and depth of research opportunities that exist in the general field of mathematical biomedicine by highlighting some of the fascinating interactions that continue to develop between the mathematical and biomedical sciences. It consists of five parts that can be read independently, but are arranged to give the reader a broader picture of specific research topics and the mathematical tools that are being applied in its modeling and analysis. The main areas covered include immune system modeling, blood vessel dynamics, cancer modeling and treatment, and epidemiology. The chapters address topics that are at the forefront of current biomedical research such as cancer stem cells, immunodominance and viral epitopes, aggressive forms of brain cancer, or gene therapy. The presentations highlight how mathematical modeling can enhance biomedical understanding and will be of interest to both the mathematical and the biomedical communities including researchers already working in the field as well as those who might consider entering it. Much of the material is presented in a way that gives graduate students and young researchers a starting point for their own work Nota de contenido: Spatial aspects of HIV infection -- Basic Principles in Modeling Adaptive Regulation and Immunodominance -- Evolutionary Principles In Viral Epitopes -- A Multiscale Approach Leading to Hybrid Mathematical Models for Angiogenesis: the Role of Randomness -- Modeling Tumor Blood Vessel Dynamics -- Influence of Blood Rheology and Outflow Boundary Conditions in Numerical Simulations of Cerebral Aneurysms -- The Steady State of Multicellular Tumour Spheroids: a Modelling Challenge -- Deciphering Fate Decision in Normal and Cancer Stem Cells – Mathematical Models and Their Experimental Verification. -- Data Assimilation in Brain Tumor Models -- Optimisation of Cancer Drug Treatments Using Cell Population Dynamics -- Tumor Development under Combination Treatments with Antiangiogenic Therapies -- Saturable Fractal Pharmacokinetics and Its Applications -- A MathematicalModel of Gene Therapy for the Treatment of Cancer -- Epidemiological Models with Seasonality -- Periodic Incidence in a Discrete-Time SIS Epidemic Model En línea: http://dx.doi.org/10.1007/978-1-4614-4178-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32214 Mathematical Methods and Models in Biomedicine [documento electrónico] / SpringerLink (Online service) ; Urszula Ledzewicz ; Schättler, Heinz ; Avner Friedman ; Eugene Kashdan . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XI, 427 p. 94 illus : online resource. - (Lecture Notes on Mathematical Modelling in the Life Sciences, ISSN 2193-4789) .
ISBN : 978-1-4614-4178-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Life sciences Mathematical models optimization Biomathematics Biomedical engineering and Computational Biology Modeling Industrial Sciences, general Engineering Optimization Clasificación: 51 Matemáticas Resumen: Mathematical biomedicine is a rapidly developing interdisciplinary field of research that connects the natural and exact sciences in an attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods and procedures that can be brought in to meet these challenges and this book presents a palette of such tools ranging from discrete cellular automata to cell population based models described by ordinary differential equations to nonlinear partial differential equations representing complex time- and space-dependent continuous processes. Both stochastic and deterministic methods are employed to analyze biological phenomena in various temporal and spatial settings. This book illustrates the breadth and depth of research opportunities that exist in the general field of mathematical biomedicine by highlighting some of the fascinating interactions that continue to develop between the mathematical and biomedical sciences. It consists of five parts that can be read independently, but are arranged to give the reader a broader picture of specific research topics and the mathematical tools that are being applied in its modeling and analysis. The main areas covered include immune system modeling, blood vessel dynamics, cancer modeling and treatment, and epidemiology. The chapters address topics that are at the forefront of current biomedical research such as cancer stem cells, immunodominance and viral epitopes, aggressive forms of brain cancer, or gene therapy. The presentations highlight how mathematical modeling can enhance biomedical understanding and will be of interest to both the mathematical and the biomedical communities including researchers already working in the field as well as those who might consider entering it. Much of the material is presented in a way that gives graduate students and young researchers a starting point for their own work Nota de contenido: Spatial aspects of HIV infection -- Basic Principles in Modeling Adaptive Regulation and Immunodominance -- Evolutionary Principles In Viral Epitopes -- A Multiscale Approach Leading to Hybrid Mathematical Models for Angiogenesis: the Role of Randomness -- Modeling Tumor Blood Vessel Dynamics -- Influence of Blood Rheology and Outflow Boundary Conditions in Numerical Simulations of Cerebral Aneurysms -- The Steady State of Multicellular Tumour Spheroids: a Modelling Challenge -- Deciphering Fate Decision in Normal and Cancer Stem Cells – Mathematical Models and Their Experimental Verification. -- Data Assimilation in Brain Tumor Models -- Optimisation of Cancer Drug Treatments Using Cell Population Dynamics -- Tumor Development under Combination Treatments with Antiangiogenic Therapies -- Saturable Fractal Pharmacokinetics and Its Applications -- A MathematicalModel of Gene Therapy for the Treatment of Cancer -- Epidemiological Models with Seasonality -- Periodic Incidence in a Discrete-Time SIS Epidemic Model En línea: http://dx.doi.org/10.1007/978-1-4614-4178-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32214 Ejemplares
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Título : Advances in Mathematical Fluid Mechanics : Dedicated to Giovanni Paolo Galdi on the Occasion of his 60th Birthday Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rolf Rannacher ; Sequeira, Adélia Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2010 Número de páginas: XXV, 657 p Il.: online resource ISBN/ISSN/DL: 978-3-642-04068-9 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Computer Numerical analysis Continuum physics Biomedical engineering Applications of Classical Physics Computational and Analysis Clasificación: 51 Matemáticas Resumen: This book is a unique collection of high-level papers devoted to fundamental topics in mathematical fluid mechanics and their applications, mostly in connection with the scientific work of Giovanni Paolo Galdi. The contributions are mainly centered on the study of the basic properties of the Navier-Stokes equations, including existence, uniqueness, regularity, and stability of solutions. Related models describing non-Newtonian flows, turbulence, and fluid-structure interactions are also addressed. The results are analytical, numerical and experimental in nature, making the book particularly appealing to a vast readership encompassing mathematicians, engineers and physicists. The diversity of the topics, in addition to the different approaches, will provide readers a global and up-to-date overview of both the latest findings on the subject and of the salient open questions Nota de contenido: Isotropically and Anisotropically Weighted Sobolev Spaces for the Oseen Equation -- A New Model of Diphasic Fluids in Thin Films -- On the Global Integrability for Any Finite Power of the Full Gradient for a Class of Generalized Power Law Models #x003C; 2 -- Steady Flow Around a Floating Body: The Rotationally Symmetric Case -- On a Stochastic Approach to Eddy Viscosity Models for Turbulent Flows -- Numerical Study of the Significance of the Non-Newtonian Nature of Blood in Steady Flow Through a Stenosed Vessel -- A Priori Convergence Estimates for a Rough Poisson-Dirichlet Problem with Natural Vertical Boundary Conditions -- Vortex Induced Oscillations of Cylinders at Low and Intermediate Reynolds Numbers -- One-dimensional Modelling of Venous Pathologies: Finite Volume and WENO Schemes -- On the Energy Equality for Weak Solutions of the 3D Navier-Stokes Equations -- The ( #x002D; ) Coupled Fluid-Energy Systems -- A Potential-Theoretic Approach to the Time-Dependent Oseen System -- Regularity of Weak Solutions for the Navier-Stokes Equations Via Energy Criteria -- Looking for the Lost Memory in Diffusion-Reaction Equations -- Maximum Principle and Gradient Estimates for Stationary Solutions of the Navier-Stokes Equations: A Partly Numerical Investigation -- A Study of Shark Skin and Its Drag Reducing Mechanism -- Stability of Poiseuille Flow in a Porous Medium -- Towards a Geometrical Multiscale Approach to Non-Newtonian Blood Flow Simulations -- The Role of Potential Flow in the Theory of the Navier-Stokes Equations -- Small Perturbations of Initial Conditions of Solutions of the Navier#x2013;Stokes Equations in the L#x2013;Norm and Applications -- Streaming Flow Effects in the Nearly Inviscid Faraday Instability -- The Dirichlet Problems for Steady Navier-Stokes Equations in Domains with Thin Channels -- Existence of Weak Solutions to the Equations of Natural Convection with Dissipative Heating -- A Weak Solvability of the Navier-Stokes Equation with Navier#x2019;s Boundary Condition Around a Ball Striking theWall -- On the Influence of an Absorption Term in Incompressible Fluid Flows -- Adaptive FE Eigenvalue Computation with Applications to Hydrodynamic Stability -- Numerical Simulation of Laminar Incompressible Fluid-Structure Interaction for Elastic Material with Point Constraints -- On Stokes#x0027; Problem -- On a Semigroup Associated with a Modified Oseen Equation with Rotating Effect -- A New Approach to the Regularity ofWeak Lq-Solutions of Stokes and Similar Equations via the Cosserat Operator -- Large Time Behavior of Energy in Some Slowly Decreasing Solutions of the Navier-Stokes Equations -- A Selected Survey of the Mathematical Theory of 1D Flows -- A Numerical Method for Nonstationary Stokes Flow -- A New Criterion for Partial Regularity of Suitable Weak Solutions to the Navier-Stokes Equations -- An In Vitro Device for Evaluation of Cellular Response to Flows Found at the Apex of Arterial Bifurcations En línea: http://dx.doi.org/10.1007/978-3-642-04068-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33721 Advances in Mathematical Fluid Mechanics : Dedicated to Giovanni Paolo Galdi on the Occasion of his 60th Birthday [documento electrónico] / SpringerLink (Online service) ; Rolf Rannacher ; Sequeira, Adélia . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010 . - XXV, 657 p : online resource.
ISBN : 978-3-642-04068-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Computer Numerical analysis Continuum physics Biomedical engineering Applications of Classical Physics Computational and Analysis Clasificación: 51 Matemáticas Resumen: This book is a unique collection of high-level papers devoted to fundamental topics in mathematical fluid mechanics and their applications, mostly in connection with the scientific work of Giovanni Paolo Galdi. The contributions are mainly centered on the study of the basic properties of the Navier-Stokes equations, including existence, uniqueness, regularity, and stability of solutions. Related models describing non-Newtonian flows, turbulence, and fluid-structure interactions are also addressed. The results are analytical, numerical and experimental in nature, making the book particularly appealing to a vast readership encompassing mathematicians, engineers and physicists. The diversity of the topics, in addition to the different approaches, will provide readers a global and up-to-date overview of both the latest findings on the subject and of the salient open questions Nota de contenido: Isotropically and Anisotropically Weighted Sobolev Spaces for the Oseen Equation -- A New Model of Diphasic Fluids in Thin Films -- On the Global Integrability for Any Finite Power of the Full Gradient for a Class of Generalized Power Law Models #x003C; 2 -- Steady Flow Around a Floating Body: The Rotationally Symmetric Case -- On a Stochastic Approach to Eddy Viscosity Models for Turbulent Flows -- Numerical Study of the Significance of the Non-Newtonian Nature of Blood in Steady Flow Through a Stenosed Vessel -- A Priori Convergence Estimates for a Rough Poisson-Dirichlet Problem with Natural Vertical Boundary Conditions -- Vortex Induced Oscillations of Cylinders at Low and Intermediate Reynolds Numbers -- One-dimensional Modelling of Venous Pathologies: Finite Volume and WENO Schemes -- On the Energy Equality for Weak Solutions of the 3D Navier-Stokes Equations -- The ( #x002D; ) Coupled Fluid-Energy Systems -- A Potential-Theoretic Approach to the Time-Dependent Oseen System -- Regularity of Weak Solutions for the Navier-Stokes Equations Via Energy Criteria -- Looking for the Lost Memory in Diffusion-Reaction Equations -- Maximum Principle and Gradient Estimates for Stationary Solutions of the Navier-Stokes Equations: A Partly Numerical Investigation -- A Study of Shark Skin and Its Drag Reducing Mechanism -- Stability of Poiseuille Flow in a Porous Medium -- Towards a Geometrical Multiscale Approach to Non-Newtonian Blood Flow Simulations -- The Role of Potential Flow in the Theory of the Navier-Stokes Equations -- Small Perturbations of Initial Conditions of Solutions of the Navier#x2013;Stokes Equations in the L#x2013;Norm and Applications -- Streaming Flow Effects in the Nearly Inviscid Faraday Instability -- The Dirichlet Problems for Steady Navier-Stokes Equations in Domains with Thin Channels -- Existence of Weak Solutions to the Equations of Natural Convection with Dissipative Heating -- A Weak Solvability of the Navier-Stokes Equation with Navier#x2019;s Boundary Condition Around a Ball Striking theWall -- On the Influence of an Absorption Term in Incompressible Fluid Flows -- Adaptive FE Eigenvalue Computation with Applications to Hydrodynamic Stability -- Numerical Simulation of Laminar Incompressible Fluid-Structure Interaction for Elastic Material with Point Constraints -- On Stokes#x0027; Problem -- On a Semigroup Associated with a Modified Oseen Equation with Rotating Effect -- A New Approach to the Regularity ofWeak Lq-Solutions of Stokes and Similar Equations via the Cosserat Operator -- Large Time Behavior of Energy in Some Slowly Decreasing Solutions of the Navier-Stokes Equations -- A Selected Survey of the Mathematical Theory of 1D Flows -- A Numerical Method for Nonstationary Stokes Flow -- A New Criterion for Partial Regularity of Suitable Weak Solutions to the Navier-Stokes Equations -- An In Vitro Device for Evaluation of Cellular Response to Flows Found at the Apex of Arterial Bifurcations En línea: http://dx.doi.org/10.1007/978-3-642-04068-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33721 Ejemplares
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