Masters Theses Listed by Discipline: Aerospace Engineering. Agricultural Economics, Sciences and Engineering. Architechtural Engineering and Urban Planning. Astronomy. Astrophysics. Ceramic Engineering. Communications Engineering and Computer Science. Cryogenic Engineering. Electrical Engineering. Engineering Mechanics. Engineering Physics. Engineering Science. Fuels, Combustion, and Air Pollution. General and Environmental Engineering. Geochemistry and Soil Science. Geological Sciences and Geophysical Engineering. Geology and Earth Science. Geophysics. Industrial Engineering. Marine and Ocean Engineering. Materials Science and Engineering. Mechanical Engineering and Bioengineering. Metallurgy. Meteorology and Atmospheric Science. 17 additional disciplines. Index.

Reviving the Living: Meaning Making in Living Systems presents a novel perspective that relates to current biological knowledge and issues. Written by polymath Dr. Yair Neuman, the book challenges the dogmas that frame our understanding of living systems and presents a radical alternative approach to understanding the world around us, one that avoids the pitfalls of non-scientific perspectives such as Vitalism and Creationism. In this thought provoking and iconoclastic manuscript, Neuman follows the footsteps of Gregory Bateson, Mikhail Bakhtin, Michael Polanyi and others, to suggest that living systems are meaning making systems. The book delves into the unique processes of meaning making that characterize organisms as a unique category of nature, and offers new and fascinating insights into a variety of enigmatic biological phenomena from immune memory to hidden life (cryptobiosis). It consists of four parts divided into 18 chapters and covers topics ranging from reductionism and its pitfalls to genetics; why organisms are irreducible; immunology; meaning making in language and biology; meaning-bridging the gap between physics and semantics; context and memory; and the poetry of living. Core concepts and themes are illustrated using examples based in current science. This text would be of high interest to biologists, philosophers, cognitive scientists, psychologists, and semioticians, as well as to any reflective individual who is willing to examine the realm of the living from a novel and fascinating perspective.

This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.

John Mingers' new volume, Self-Producing Systems: Implications and Ap plications of Autopoiesis, is a much-needed reference on autopoiesis, a subject penetrating many disciplines today. I can genuinely say that I enjoyed reading the book as it took me stage by stage through a clear and easy-to-grasp understanding of the concepts and ideas of auto poiesis and then, as the book's title suggests, on through their applica tions. I found the summary in Chapter 12 particularly useful, helping to crystalize the main points of each chapter. The book conveyed enthusi asm for the subject and stimulated my interest in it. At times the book is demanding, but only because of the breadth of the subject matter, the terms and concepts associated with its parts, and the challenge of keep ing hold of all this in the mind at once. This is an exceptional text. ROBERT L. FLOOD Hull, UK Preface In recent years Maturana's and Varela's concept of autopoiesis, origi nally a biological concept, has made a remarkable impact not just on a single area, but across widely differing disciplines such as sociology, policy science, psychotherapy, cognitive science, and law. Put very briefly, the term autopoiesis connotes the idea that certain types of sys tems exist in a particular manner-they are self-producing systems. In their operations they continuously produce their own constituents, their own components, which then participate in these same production pro cesses."

Fluorescence microscopy images can be easily integrated into current video and computer image processing systems. People like visual observation; they like to watch a television or computer screen, and fluorescence techniques are thus becoming more and more popular. Since true in vivo experiments are simple to perform, samples can be directly seen and there is always the possibility of manipulating the samples during the experiments; it is an ideal technique for biology and medicine. Images are obtained by a classical (now called wide-field) fluorescence microscope, a confocal scanning microscope, upright or inverted, with epifluorescence or transmission. Computerized image processing may improve definition, and remove glare and scattered light signal. It also makes it possible to compute ratio images (ratio imaging both in excitation and in emission) or lifetime imaging. Image analysis programs may supply a great deal of additional data of various types, starting with calculations of the number of fluorescent objects, their shapes, brightness, etc. Fluorescence microscopy data may be complemented by classical measurement in the cuvette yr by flow cytometry.

Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.

This book deals with the essential philosophical/ethical dimension that concerns the ends and goods entrusted to medicine. It shows that medicine cannot be reduced to its scientific and technical aspects and that the constitutive philosophical aspects of medicine presently are in a state of crisis.

Medicine, besides being a scientifically based art of diagnosing and curing infirmities of many kinds, also possesses an essential philosophical and ethical dimension. It turns into anti-medicine if it no longer stands in the service of those goods and ends that are entrusted to it. Their nature is in no way known by natural science but can be clarified by philosophy. Consequently, medicine suffers from philosophical diseases of different degrees of gravity if its theory and practice are based on errors about its proper ends. The cure from the life-threatening philosophical diseases of medicine lies in a critique of philosophical mistakes that influence the theory and practice of medicine and in an understanding and practical implementation of those ethically relevant goods that constitute its true ends. At a time when these goods are by no means universally recognized or embodied in laws of medicine, some basic philosophical understanding of them and of the foundations of medical ethics is urgently required. The purpose of this volume is to provide this largely neglected part of general and medical education.

Mathematics in Medicine and the Life Sciences grew from lectures given by the authors at New York University, the University of Utah, and Michigan State University. The material is written for students who have had but one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels through early graduate courses. Numerous exercises are given as well, and solutions to selected exercises are included. Numerous illustrations depict physiological processes, population biology phenomena, models of them, and the results of computer simulations. Mathematical models and methods are becoming increasingly important in medicine and the life sciences. This book provides an introduction to a wide diversity of problems ranging from population phenomena to demographics, genetics, epidemics and dispersal; in physiological processes, including the circulation, gas exchange in the lungs, control of cell volume, the renal counter-current multiplier mechanism, and muscle mechanics; to mechanisms of neural control. Each chapter is graded in difficulty, so a reading of the first parts of each provides an elementary introduction to the processes and their models. Materials that deal with the same topics but in greater depth are included later. Finally, exercises and some solutions are given to test the reader on important parts of the material in teh text, or to lead the reader to the discovery of interesting extensions of that material.

As well as examining successful biological control programmes this book analyses why the majority of attempts fail. Off-target and other negative effects of biological control are also dealt with. Chapters contributed by leading international researchers and practitioners in all areas of biological control afford the book a breadth of coverage and depth of analysis not possible with a single author volume. Combined with the use of other experts to review chapters and editorial oversight to ensure thematic integrity of the volume, this book provides the most authoritative analysis of biological control published.
Key aspects addressed include how success may be measured, how successful biological control has been to date and how may it be made more successful in the future. With extensive use of contemporary examples, photographs, figures and tables this book will be invaluable to advanced undergraduate and postgraduate students as well as being a must' for all involved in making biological control successful.

The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained from initially simple systems models.

The rapid progress in clinical and experimental immunological research, in addition to the radical change in immunological concepts in recent years, has been accompanied by similar developments in the technical vocabulary, and, as a consequence, frequent widespread confusion. The fourth edition of The Dictionary of Immunology will satisfy the needs of any biologist, clinician or biochemist who requires easy reference to current immunological usage.
This well-established work has been completely revised and updated to include key terms arising from new discoveries in the fast-developing fields of molecular and cellular immunology. The Dictionary of Immunology contains brief descriptions of the most commonly used immunological techniques, as well as definitions, useful in clinical immunology, of immunodeficiency states and autoimmune diseases. Clear illustrations and tables have been added to complement the text, and extensive cross-referencing is used to inform an integrated view.
The Dictionary will serve equally as a handy reference, a companion to other reference texts, or a spelling and fact checker for students, research scientists and those engaged in ancillary activities such as science journalists, and the curious lay reader.
* Special Features:
* Radical revision, including addition of 30% new terms.

Yes, there really is a brain that destroys itself. And it's a brain just like the one in your head. But not every one of the brains like yours will ultimately destroy itself. However, if the destroying begins, then the signs of this are described in what neurologists take to be the symptoms of "neurodegenerative diseases. Those most often encountered are Alzheimer's and Parkinson's disease, but there are many others-surprisingly many, as explained here. This is the first ever evolutionary explanation of these diseases, which sheds new light on their origin, basic nature, previously un-imagined enormous range, and why they so often have fatal consequences. Because of the disabling nature of many of these diseases, they often require the selfless devotion of a caregiver-the caregiver to whom the book is dedicated. The book is directed at the non-specialist, but will also be useful to the specialist.

Determinism, holism and complexity: three epistemological attitudes that have easily identifiable historical origins and developments. Galileo believed that it was necessary to "prune the impediments" to extract the mathematical essence of physical phenomena, to identify the math ematical structures representing the underlying laws. This Galilean method was the key element in the development of Physics, with its extraordinary successes. Nevertheless the method was later criticized because it led to a view of nature as essentially "simple and orderly," and thus by choosing not to investigate several charac teristics considered as an "impediment," several essential aspects of the phenomenon under investigation might be left out. The Galilean point of view also contains an acknowledgement of the central role played by the causal nexus among phenomena. The mechanistic-deterministic de scription of reality - for instance, a la Laplace - although acknowledging that it is not possible to predict phenomena exactly owing to unavoid able measurement error, is based on the recognition of the their causal nature, even in an ontological sense. Consequently, deterministic predic tion became the methodological fulcrum of mathematical physics. But although mechanistic determinism has had and, in many cases, still has, considerable success in Physics, in other branches of science this situa tion is much less favourable."

There has been a great upsurge in interest in light microscopy in recent years due to the advent of a number of significant advances in microscopy, one of the most important of which is confocal microscopy. Confocal microscopy has now become an important research tool, with a large number of new fluorescent dyes becoming available in the past few years, for probing your pet structure or molecule within fixed or living cell or tissue sampies. Many of the people interested in using confocal microscopy to further their research do not have a background in microscopy or even cell biology and so not only do they find considerable difficulty in obtaining satisfactory results with a confocal microscope, but they may be mislead by how data is being presented. This book is intended to teach you the basic concepts ofmicroscopy, fluorescence, digital imaging and the principles of confocal microscopy so that you may take full advantage ofthe excellent confocal microscopes now available. This book is also an excellent reference source for information related to confocal microscopy for both beginners and the more advanced users. For example, do you need to know the optimal pinhole size for a 63x 1. 4 NA lens? Do you need to know the fluorescence emission spectrum of Alexa 568? Access to the wealth of practical information in this book is made easier by using both the detailed index and the extensive glossary.

This thesis describes the development of biophysically detailed computer models of the human atria and torso to study the underlying mechanisms of cardiac diseases, some of the most common causes of morbidity and mortality. This is a cross-disciplinary project, involving fundamentals of cardiac electrophysiology, physics of excitable media, applied mathematics and high performance scientific computing and visualisation. The author uses computer models to provide insights into the underlying mechanisms of the genesis of atrial fibrillation and develops novel techniques for the monitoring of atrial tachycardia.

This book, written by an international team of experts, introduces the reader to various aspects of complexity theory and its applications. It illustrates the latest trends in science to go beyond the mechanistic Newtonian view of the world by shifting the focus to self-organization, adaptation, and emergent phenomena. The authors discuss these properties of complex systems in biology, ecology and chemistry along with the structure and interconnectedness of the "layers" of complexity. The qualitative description is complemented by a discussion of methods for complexity quantification. Networks are covered in detail as a universal language of the complex world.

General readers, as well as undergraduate and graduate students and researchers in life sciences, chemistry, and nanotechnology will find this book to be of great interest.