Modelling Methodology for Physiology and Medicine, Second Edition, offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modeling methodology that is widely applicable to physiology and medicine. The second edition, which is completely updated and expanded, opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration. The focus of Modelling Methodology for Physiology and Medicine, Second Edition, is the methodology that underpins good modeling practice. It builds upon the idea of an integrated methodology for the development and testing of mathematical models. It covers many specific areas of methodology in which important advances have taken place over recent years and illustrates the application of good methodological practice in key areas of physiology and medicine. It builds on work that the editors have carried out over the past 30 years, working in cooperation with leading practitioners in the field. - Builds upon and enhances the reader's existing knowledge of modeling methodology and practice - Editors are internationally renowned leaders in their respective fields - Provides an understanding of modeling methodologies that can address real problems in physiology and medicine and achieve results that are beneficial either in advancing research or in providing solutions to clinical problems
This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples. Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine Extensive case studies and engineering applications from BME, plus end-of-chapter exercises
Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.
This book is a collection of invited contributions, each reflec ting an area of medicine in which computing techniques have been successfully applied; but why the title? From a control system point of view the aim of clinical medicine is to recognise the deviation of a patient from the space of normality, and to propel and steer the patient along a trajectory back to that space. Acquiring and main taining the knowledge and skills of this process is the function of medicine. The first chapter expands on this view. Subsequent chapters written by experts in their respective areas cover a fair range of application. All give considerable insight as to the ways in which the control system approach, facilitated by computational tools, can be of value when applied to clinical problems. The idea for this book arose naturally out of a symposium held at the University of Sussex, Brighton, England, on "Control System Concepts and Approaches in Clinical Medicine" in April, 1982, spon sored by the Institute of Measurement and Control and co-sponsored by the Institution of Electrical Engineers and the Royal Society of Medicine. It is not, however, a "proceedings" of this meeting but rather a collection of essays that reflect developing areas in which many have particular interest. We think the volume is timely and hope that the work described will be an encouragement for others.
This volume is a sampling of quips, verses, drawings, and even the music of one of the most original and versatile minds of the twentieth century, Kenneth Boulding prominent economist, lecturer, and author. The driving force behind Kenneth Boulding's wideranging book is that he truly en joys all that he does. Indeed, his greatest accomplishment may very well be that he was a profoundly happy man. This is reflected in works that are laced with beauty, wit, and extraordinary imagery-works that are often composed and appeared in the most unexpected of places. In the midst of one of the classic textbooks of his generally staid profession, Economic Analysis , Boulding introduced the "bathtub theorem." Illustrating Economics: Beasts, Ballads and Aphorisms is a collection of similar instances and, as such, it is fun. The reader should be advised that the book contains traps. Boulding coats his ideas with sugar to please his audience as well as promote consumption. He describes peace as "a drab girl with an olive branch corsage whom no red-blooded American (or Russian) could conceivably warm up to." The reader smiles at the recognition of the truth inherent within the image and ponders the irony of why so fine a state as peace should be regarded as dull, and so ugly a condition as war should be regarded as romantic. This book is for enjoyment, but it should carry the following warning: Caution-Reading this may be stimulating to your intellect. Kenneth E. Boulding (1910-1993) was professor of economics at the University of Colorado and president of many scholarly associations including the American Economic Association, the Society for General Systems Research, and the American Association for the Advancement of Science. He authored numerous books including Towards a New Economics: Critical Essays on Ecology, Distribution, and Other Themes; Three Faces of Power; and The World as a Total System. Richard P. Beilock, a former student of Kenneth Boulding has been a graduate research assistant, Department of Agricultural Economics and Rural Sociology, The Pennsylvania State University. He is professor in the Food and Resource Economics Department at the University of Florida.
Gavin Ewart, one of Britain's finest and most original poets, is presented here in a half-century retrospective. His subjects various and his approach toothsomely scathing, he believes: "good light verse is better than bad heavy verse any day of the week." Consider one of his briefest poems, "The Lover Reflects: Afterwards" - "Perhaps I was greedy. I know I should be grateful/You wanted a snack and I wanted a plateful." An inventive technical master (creator of the "Ewart" form), he stalks his favorite prey--hypocrisy, love's foibles, the "pseuds"--with a razor-sharp wit. "There is iron in irony, although you smile," he writes in one poem: "...I have my language, you have yours/ a lower-archy is a hierarchy viewed from above.
Reporting Islam argues for innovative approaches to media coverage of Muslims and their faith. The book examines the ethical dilemmas faced by Western journalists when reporting on this topic and offers a range of alternative journalistic techniques that will help news media practitioners move away from dominant news values and conventions when reporting on Islam. The book is based on an extensive review of international literature and interviews with news media editors, copy-editors, senior reporters, social media editors, in-house journalism trainers and journalism educators, conducted for the Reporting Islam Project. In addition, the use of an original model – the Transformative Journalism Model – provides further insight into the nature of news reports about Muslims and Islam. The findings collated here help to identify the best and worst reporting practices adopted by different news outlets, as well as the factors which have influenced them. Building on this, the authors outline a new strategy for more accurate, fair and informed reporting of stories relating to Muslims and Islam. By combining an overview of different journalistic approaches with real-world accounts from professionals and advice on best practice, journalists, journalism educators and students will find this book a useful guide to contemporary news coverage of Islam.
Modelling Methodology for Physiology and Medicine, Second Edition, offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modeling methodology that is widely applicable to physiology and medicine. The second edition, which is completely updated and expanded, opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration. The focus of Modelling Methodology for Physiology and Medicine, Second Edition, is the methodology that underpins good modeling practice. It builds upon the idea of an integrated methodology for the development and testing of mathematical models. It covers many specific areas of methodology in which important advances have taken place over recent years and illustrates the application of good methodological practice in key areas of physiology and medicine. It builds on work that the editors have carried out over the past 30 years, working in cooperation with leading practitioners in the field. - Builds upon and enhances the reader's existing knowledge of modeling methodology and practice - Editors are internationally renowned leaders in their respective fields - Provides an understanding of modeling methodologies that can address real problems in physiology and medicine and achieve results that are beneficial either in advancing research or in providing solutions to clinical problems
Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear understanding of the fundamental principles of good modeling methodology. Sections show how to create valid mathematical models that are fit for a range of purposes. These models are supported by detailed explanation, extensive case studies, examples and applications. This updated edition includes clearer guidance on the mathematical prerequisites needed to achieve the maximum benefit from the material, a greater detail regarding basic approaches to modeling, and discussions on non-linear and stochastic modeling. The range of case study material has been substantially extended, with examples drawn from recent research experience. Key examples include a cellular model of insulin secretion and its extension to the whole-body level, a model of insulin action during a meal/oral glucose tolerance test, a large-scale simulation model of type 1 diabetes and its use in in silico clinical trials and drug trials. Covers the underlying principles of good quantitative modeling methodology, with applied biomedical engineering and bioscience examples to ensure relevance to students, current research and clinical practice Includes modeling data, modeling systems, linear and non-linear systems, model identification, parametric and non-parametric models, and model validation Presents clear, step-by-step working plus examples and extensive case studies that relate concepts to real world applications Provides end-of-chapter exercises and assignments to reinforce learning
Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.
This book is a collection of invited contributions, each reflec ting an area of medicine in which computing techniques have been successfully applied; but why the title? From a control system point of view the aim of clinical medicine is to recognise the deviation of a patient from the space of normality, and to propel and steer the patient along a trajectory back to that space. Acquiring and main taining the knowledge and skills of this process is the function of medicine. The first chapter expands on this view. Subsequent chapters written by experts in their respective areas cover a fair range of application. All give considerable insight as to the ways in which the control system approach, facilitated by computational tools, can be of value when applied to clinical problems. The idea for this book arose naturally out of a symposium held at the University of Sussex, Brighton, England, on "Control System Concepts and Approaches in Clinical Medicine" in April, 1982, spon sored by the Institute of Measurement and Control and co-sponsored by the Institution of Electrical Engineers and the Royal Society of Medicine. It is not, however, a "proceedings" of this meeting but rather a collection of essays that reflect developing areas in which many have particular interest. We think the volume is timely and hope that the work described will be an encouragement for others.
Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.
This book is a collection of invited contributions, each reflec ting an area of medicine in which computing techniques have been successfully applied; but why the title? From a control system point of view the aim of clinical medicine is to recognise the deviation of a patient from the space of normality, and to propel and steer the patient along a trajectory back to that space. Acquiring and main taining the knowledge and skills of this process is the function of medicine. The first chapter expands on this view. Subsequent chapters written by experts in their respective areas cover a fair range of application. All give considerable insight as to the ways in which the control system approach, facilitated by computational tools, can be of value when applied to clinical problems. The idea for this book arose naturally out of a symposium held at the University of Sussex, Brighton, England, on "Control System Concepts and Approaches in Clinical Medicine" in April, 1982, spon sored by the Institute of Measurement and Control and co-sponsored by the Institution of Electrical Engineers and the Royal Society of Medicine. It is not, however, a "proceedings" of this meeting but rather a collection of essays that reflect developing areas in which many have particular interest. We think the volume is timely and hope that the work described will be an encouragement for others.
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