This issue serves as a comprehensive review and update in the management of the geriatric cancer patient. Topics covered include: Cancer and Aging, Comprehensive Geriatric Assessment, Breast Cancer in the Elderly, Solid Tumors in the Elderly, Radiation Therapy with the Elderly, Liquid Tumors in the Elderly, Nursing and Palliation of Elderly Cancer Patients, Ethics and Religion in Care of the Elderly, and Surgery in the Elderly.
This book opens with a quiz designed to identify your existing strengths and weaknesses and direct you to the corresponding chapters. It goes on to explore, in turn, the key elements of effective leadership, with the aid of studies of successful BrainSmart Leaders, exercises, quizzes, Mind Maps® and practical guidance for applying the ideas described. Working through the text and the related material will equip you with the mental technology to apply your creativity to maximum effect. The result should be a dramatic improvement in your own performance and that of your organization.
Two late-developing nations, Japan and Italy, similarly obsessed with achieving modernity and with joining the ranks of the great powers, have traveled parallel courses with very different national identities. In this audacious book about leadership and historical choices, Richard J. Samuels emphasizes the role of human ingenuity in political change. He draws on interviews and archival research in a fascinating series of paired biographies of political and business leaders from Italy and Japan. Beginning with the founding of modern nation-states after the Meiji Restoration and the Risorgimento, Samuels traces the developmental dynamic in both countries through the failure of early liberalism, the coming of fascism, imperial adventures, defeat in wartime, and reconstruction as American allies. Highlights of Machiavelli's Children include new accounts of the making of postwar Japanese politics—using American money and Manchukuo connections—and of the collapse of Italian political parties in the Clean Hands (Mani Pulite) scandal.The author also tells the more recent stories of Umberto Bossi's regional experiment, the Lega Nord, the different choices made by Italian and Japanese communist party leaders after the collapse of the USSR, and the leadership of Silvio Berlusconi and Ishihara Shintar on the contemporary right in each country.
The two most critical issues for business today, according to CEO's Barrett has worked with, are: "How to tap the deepest levels of creativity and the highest levels of productivity of our employees." In a world where competition has become global, successful companies are learning to build competitive advantage through their human capital. In the 21st Century, even that will not be enough. Success will also hinge on whether, in the eyes of the employees and society-at-large, the organization is a trusted member of the community and a good global citizen. Developing a values-driven approach to business is quickly becoming essential for financial success. Who you are and what you stand for are becoming just as important as what you sell.
Existing and impending water shortages argue for improving water quantity and quality management. Groundwater Optimization Handbook: Flow, Contaminant Transport, and Conjunctive Management helps you formulate and solve groundwater optimization problems to ensure sustainable supplies of adequate quality and quantity. It shows you how to more effectively use simulation-optimization (S-O) modeling, an economically valuable groundwater management tool that couples simulation models with mathematical optimization techniques. Written for readers of varying familiarity with groundwater hydrology and mathematical optimization, the handbook approaches complex problems realistically. Its techniques have been applied in many legal settings, with produced strategies providing up to 57% improvement over those developed without S-O modeling. These techniques supply constructible designs, planning and management strategies, and metrics for performance-based contracts. Learn how to: Recognize opportunities for applying S-O models Lead client, agency, and consultant personnel through the strategy design and adaptation process Formulate common situations as clear deterministic/stochastic and single/multiobjective mathematical optimization problems Distinguish between problem nonlinearities resulting from physical system characteristics versus management goals Create an S-O model appropriate for your specific needs or select an existing transferrable model Develop acceptable feasible solutions and compute optimal solutions Quantify tradeoffs between multiple objectives Evaluate and adapt a selected optimal strategy, or use it as a metric for comparison Drawing on the author’s numerous real-world designs and more than 30 years of research, consulting, and teaching experience, this practical handbook supplies design procedures, detailed flowcharts, solved problems, lessons learned, and diverse applications. It guides you through the maze of multiple objectives, constraints, and uncertainty to calculate the best strategies for managing flow, contamination, and conjunctive use of groundwater and surface water. Ancillary materials are available from the Downloads tab on the book page at www.crcpress.com.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Diffuse X-ray scattering is a rich (virtually untapped) source of local structural information over and above that obtained by conventional crystallography. The book aims to show how computer simulation of a model crystal provides a general method by which diffuse scattering of all kinds and from all types of materials can be interpreted and analysed.
Molecular simulation allows researchers unique insight into the structures and interactions at play in fluids. Since publication of the first edition of Molecular Simulation of Fluids, novel developments in theory, algorithms and computer hardware have generated enormous growth in simulation capabilities. This 2nd edition has been fully updated and expanded to highlight this recent progress, encompassing both Monte Carlo and molecular dynamic techniques, and providing details of theory, algorithms and both serial and parallel implementations. Beginning with a clear introduction and review of theoretical foundations, the book goes on to explore intermolecular potentials before discussing the calculation of molecular interactions in more detail. Monte Carlo simulation and integrators for molecular dynamics are then discussed further, followed by non-equilibrium molecular dynamics and molecular simulation of ensembles and phase equilibria. The use of object-orientation is examined in detail, with working examples coded in C++. Finally, practical parallel simulation algorithms are discussed using both MPI and GPUs, with the latter coded in CUDA. Drawing on the extensive experience of its expert author, Molecular Simulation of Fluids: Theory, Algorithms, Object-Orientation, and Parallel Computing 2nd Edition is a practical, accessible guide to this complex topic for all those currently using, or interested in using, molecular simulation to study fluids. Fully updated and revised to reflect advances in the field, including new chapters on intermolecular potentials and parallel algorithms Covers the application of both MPI and GPU programming to molecular simulation Covers a wide range of simulation topics using both Monte Carlo and molecular dynamics approaches Provides access to downloadable simulation code, including GPU code using CUDA, to encourage practice and support learning
This book examines the political origins of financial institutions in the US, France, Japan, Austria and Germany, seeking to trace and explain each nation’s distinctive capitalist arrangements.
Between 1951 and 1962 nearly ten billion dollars in long-term capital (both direct investment and purchase of securities) flowed into Canada. This massive amount represented one third of all long-term capital moving among industrial nations. Its transfer marked the first time since before World War I that the world witnessed such a large-scale international movement of capital motivated primarily by a prospect of higher rates of return. In Capital Transfers and Economic Policy the authors test the theory of the causes and effects of international capital movements against the evidence drawn from Canada's experience. They explore Canada's adjustment to capital flows and show how the operation of her economic policy is affected by the sensitivity of capital flows to the country's interest rates and foreign-exchange rate. Their brilliant analysis is particularly valuable in light of current trends in capital flows among industrial nations and the June 1970 return of the Canadian dollar to a flexible exchange rate, which put the economy in a working situation similar to that of the fifties.
This book provides an excellent introduction to the fundamental physics of plasmas, which comprise most of the matter in the universe. It is based on lectures that were used for an introductory plasma course at the graduate level.
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed until its usefulness can be applied in the treatment of mathematical finance.
This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.
Time travel is one of the staples of science fiction, right up there with aliens, space opera, and robots. Most science fiction authors have written at least one time travel story. This collection samples some of the best. TIME OUT, by Edward M. Lerner THESE STONES WILL REMEMBER, by Reginald Bretnor PROJECT MASTODON, by Clifford D. Simak 12:01 P.M., by Richard A. Lupoff TIME CONSIDERED AS A SERIES OF THERMITE BURNS IN NO PARTICULAR ORDER, by Damien Broderick TIME AND TIME AGAIN, by H. Beam Piper TRY, TRY AGAIN, by John Gregory Betancourt THE ETERNAL WALL, by Raymond Z. Gallun THE MAN FROM TIME, by Frank Belknap Long OF TIME AND TEXAS, by William F. Nolan THE EDGE OF THE KNIFE, by H. Beam Piper THROUGH TIME AND SPACE WITH FERDINAND FEGHOOT (10), by Grendel Briarton TIME BUM, by C.M. Kornbluth NEBOGIPFEL AT THE END OF TIME, by Richard A. Lupoff UNBORN TOMORROW, by Mack Reynolds LOST IN THE FUTURE, by John Victor Peterson THE WINDS OF TIME, by James H. Schmitz ARMAGEDDON -- 2419 A.D., by Philip Francis Nowlan THE MAN WHO SAW THE FUTURE, by Edmond Hamilton A TRAVELER IN TIME, by August Derleth THROUGH TIME AND SPACE WITH FERDINAND FEGHOOT (71), by Grendel Briarton FLIGHT FROM TOMORROW, by H. Beam Piper IN THE CRACKS OF TIME, by David Grace SWEEP ME TO MY REVENGE!, by Darrell Schweitzer THE SOLID MEN, by C.J. Henderson THROUGH TIME AND SPACE WITH FERDINAND FEGHOOT (Epsilon), by Grendel Briarton And don't forget to search this ebook store for "Wildside Megapack" to see many more entries in this series, covering westerns, mysteries, science fiction, pulp fiction, and much, much more!
Recent progress in the theory and computation of electronic structure is bringing an unprecedented level of capability for research. Many-body methods are becoming essential tools vital for quantitative calculations and understanding materials phenomena in physics, chemistry, materials science and other fields. This book provides a unified exposition of the most-used tools: many-body perturbation theory, dynamical mean field theory and quantum Monte Carlo simulations. Each topic is introduced with a less technical overview for a broad readership, followed by in-depth descriptions and mathematical formulation. Practical guidelines, illustrations and exercises are chosen to enable readers to appreciate the complementary approaches, their relationships, and the advantages and disadvantages of each method. This book is designed for graduate students and researchers who want to use and understand these advanced computational tools, get a broad overview, and acquire a basis for participating in new developments.
Written for researchers and students in statistics, machine learning, and the biological sciences. This book provides a self-contained introduction to the methodology of Bayesian networks. It offers both elementary tutorials as well as more advanced applications and case studies.
Encompasses the Lectured Works of a Renowned Expert in the Field Plasma Physics: An Introduction is based on a series of university course lectures by a leading name in the field, and thoroughly covers the physics of the fourth state of matter. This textbook provides a concise and cohesive introduction to plasma physics theory and offers a solid foundation for students of physics wishing to take higher level courses in plasma physics. Mathematically Rigorous, but Driven by Physics The author provides an in-depth discussion of the various fluid theories typically used in plasma physics, presenting non-relativistic, fully ionized, nondegenerate, quasi-neutral, and weakly coupled plasma. This second edition has been fully updated to include new content on collisions and magnetic reconnection. It contains over 80 exercises—carefully selected for their pedagogical value—with fully worked out solutions available in a separate solutions manual for professors. The material presents a number of applications, and works through specific topics including basic plasma parameters, the theory of charged particle motion in inhomogeneous electromagnetic fields, collisions, plasma fluid theory, electromagnetic waves in cold plasmas, electromagnetic wave propagation through inhomogeneous plasmas, kinetic theory, magnetohydrodynamical fluid theory, and magnetic reconnection.
The Imperial Rayon Company corruption scandal (popularly known as the Teijin incident) was Japan's major interwar political bribery case. Compared to numerous Japanese corruption cases of the past century, the Teijin affair stands out as not only the most sensational of the pre-1945 era, but also the most important--perhaps because more than any other case, it has left an indelible mark on the public mind. Nevertheless, Japanese and foreign scholars have neglected this incident, which brought down an entire cabinet and produced a record-setting trial. The sixteen defendants, all prominent bureaucrats, ministers, and businessmen, were charged with illegally profiting from the sale of Imperial Rayon Company stock held by the Bank of Japan. In December 1937, after a more than two-year trial, all sixteen were found innocent when the judges declared that the case had been fabricated by the prosecution. Their verdict ranks in importance with the famous Otsu case judgment, the benchmark for judicial independence from the executive. Despite its importance, basic facts about the Teijin case remain obscure, as scholars repeat factual misinformation and produce farfetched conspiracy theories. This study, the first comprehensive, scholarly work on the subject in English or Japanese, investigates controversial and important issues regarding the origins, results, and significance of the incident. It illustrates transwar continuities within the judicial system by showing that the institutional flaws in the old criminal justice system, which were magnified by the Teijin investigation and trial, remain embedded despite reform attempts during the Occupation. While illuminating the basic institutional features that generated it, the author uses the incident to spotlight the considerable amount of political criticism and public conflict that existed in Japan in the 1930s.
This textbook brings together nuclear and particle physics, balancing theoretical and experimental perspectives for graduates and upper undergraduates.
Computer simulation techniques are now having a major impact on almost all areas of the physical and biological sciences. This book concentrates on the application of these methods to inorganic materials, including topical and industrially relevant systems including zeolites and high Tc superconductors. The central theme of the book is the use of modern simulation techniques as a structural tool in solid state science. Computer Modelling in Inorganic Crystallography describes the current range of techniques used in modeling crystal structures, and strong emphasis is given to the use of modeling in predicting new crystal structures and refining partially known structures. It also reviews new opportunities being opened up by electronic structure calculation and explains the ways in which these techniques are illuminating our knowledge of bonding in solids. Includes a thorough review of the technical basis of relevant contemporary methodologies including minimization, Monte-Carlo, molecular dynamics, simulated annealing methods, and electronic structure methods Highlights applications to amorphous and crystalline solids Surveys simulations of surface and defect properties of solids Discusses applications to molecular and inorganic solids
Over the past few decades numerous scientists have called for a unification of the fields of embryo development, genetics, and evolution. Each field has glaring holes in its ability to explain the fundamental phenomena of life. In this book, the author shows how the phenomenon of cell differentiation, considered in its temporal and spatial aspects during embryogenesis, provides a starting point for a unified theory of multicellular organisms (plants, fungi and animals), including their evolution and genetics. This unification is based on the recent discovery of differentiation waves by the author and his colleagues, described in the appendices, and illustrated by a flip movie prepared by a medical artist. To help the reader through the many fields covered, a glossary is included.This book will be of great value to the researcher and practicing doctors/scientists alike. The research students will receive an in-depth tutorial on the topics covered. The seasoned researcher will appreciate the applications and the gold mine of other possibilities for novel research topics.
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques.
Antennas systems play a critical role in modern electronic warfare communications and radar. Today's EW engineers need to have a solid understanding of the design principles of this technology and how antenna systems are used in the field. This comprehensive book serves as a one-stop resource for practical EW antenna system know-how. Supported with over 700 illustrations and nearly 1,700 equations, this authoritative reference offers professionals detailed explanations of all the important foundations and aspects of this technology. Moreover, engineers get an in-depth treatment of a wide range of antenna system applications. The book presents the key characteristics of each type of antenna, including dipoles, monopoles, loops, arrays, horns, and patches. Practitioners also find valuable discussions on the limitations of antennas system performance in EW applications.
Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial Capture-Recapture provides you with an extensive step-by-step analysis of many data sets using different software implementations. The authors' approach is practical – it embraces Bayesian and classical inference strategies to give the reader different options to get the job done. In addition, Spatial Capture-Recapture provides data sets, sample code and computing scripts in an R package. Comprehensive reference on revolutionary new methods in ecology makes this the first and only book on the topic Every methodological element has a detailed worked example with a code template, allowing you to learn by example Includes an R package that contains all computer code and data sets on companion website
Deposition and aggregation of small solid particles are encountered in many natural and industrial environments. Whether it be deposition of particles onto a surface immersed in a liquid suspension or aggregateion of individual particles, these processes are of enotmous significance. They are vital to the manufacture of magnetic tape, purification of water using packed bed filters, selective capture of solids, cells and macromolecular species, and many other applications. This book presents a unified approach to the measurement, modelling and simulation of these processes, bringing together the disciplines of colliod and surface chemistry, hydrodynamics, and experimental and computational methods. It will be required reading for graduates working in process and environmental engineering, postgraduates involved in industrial R & D and for all scientists wishing to gain a more detailed and realistic understanding of process conditions in these areas.
This book brings together, in a logical fashion, the way in which molecular interactions lead to the observedmorphologies in crystalline organic materials and polymers. It is arranged into self contained chapters on various aspects of materials science and includes discussions of topics such as crystal growth, polymer morphology, amorphous glassy materials, polymer phase separation and structure and organisation in materials. The main feature of this title is that, within a single volume, a range of topics is covered which normally would only be found in a number of separate volumes. It is aimed at polymer - materials scientists but will also be of interest to chemists and physics students interested in the properties of organic materials.
This is the first book to present both classical and quantum-chemical approaches to computational methods, incorporating the many new developments in this field from the last few years. Written especially for "non"-theoretical readers in a readily comprehensible and implemental style, it includes numerous practical examples of varying degrees of difficulty. Similarly, the use of mathematical equations is reduced to a minimum, focusing only on those important for experimentalists. Backed by many extensive tables containing detailed data for direct use in the calculations, this is the ideal companion for all those wishing to improve their work in solid state research.
Motivated by the lack of scholarly understanding of the substantial gender difference in attitudes toward the use of military force, Richard C. Eichenberg has mined a massive data set of public opinion surveys to draw new and important conclusions. By analyzing hundreds of such surveys across more than sixty countries, Gender, War, and World Order offers researchers raw data, multiple hypotheses, and three major findings. Eichenberg poses three questions of the data: Are there significant differences in the opinions of men and women on issues of national security? What differences can be discerned across issues, culture, and time? And what are the theoretical and political implications of these attitudinal differences? Within this framework, Gender, War, and World Order compares gender difference on military power, balance of power, alliances, international institutions, the acceptability of war, defense spending, defense/welfare compromises, and torture. Eichenberg concludes that the centrality of military force, violence, and war is the single most important variable affecting gender difference; that the magnitude of gender difference on security issues correlates with the economic development and level of gender equality in a society; and that the country with the most consistent gender polarization across the widest range of issues is the United States.
Here, for the first time, in a brilliant, panoramic portrait by the Pulitzer Prize-winning author of The Making of the Atomic Bomb, is the definitive, often shocking story of the politics and the science behind the development of the hydrogen bomb and the birth of the Cold War. Based on secret files in the United States and the former Soviet Union, this monumental work of history discloses how and why the United States decided to create the bomb that would dominate world politics for more than forty years.
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods. As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.
The different physical properties displayed by low molar mass organic materials and polymers are a result of their molecular organisation. In order to understand the structure – property relationship of a material it is necessary to first look at the interactions at a molecular level. This new edition of Polymer Structure Characterization provides readers with the background needed to understand the factors that influence molecular organization and how this affects the morphology and bulk physical properties of a material. In order to introduce the concepts, the book first looks at small molecular systems and builds up to complex macromolecular systems. The second edition has been fully revised and updated to include new examples and references. Topics covered include: organic crystals, liquid crystals, plastic crystals, polymer crystal growth, amorphous glassy materials, polymer surfaces and interfaces, colloids and molecular organization in liquids as well as two new chapters on self-assembly and biopolymer systems. The book is intended to provide complimentary material for a range of undergraduate and postgraduate courses in materials science, molecular chemistry and chemical physics. In addition to polymer and material scientists, the book would also be of interest to chemists and physicists studying the properties of organic materials.
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