Worlds in Shadow. Submerged Lands in Science, Memory and Myth

This two-volume collection of cutting edge thinking about science and religion shows how scientific and religious practices of inquiry can be viewed as logically compatible, complementary, and mutually supportive. Features submissions by world-leading scientists and philosophers Discusses a wide range of hotly debated issues, including Big Bang cosmology, evolution, intelligent design, dinosaurs and creation, general and special theories of relativity, dark energy, the Multiverse Hypothesis, and Super String Theory Includes articles on stem cell research and Bioethics by William Hurlbut, who served on President Bush's Bioethics Committee

A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system. Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as: Mechanics of classical and non-classical continuous systems Solute transport by a free fluid Flow of a fluid in a porous medium Multiphase systems Enhanced oil recovery Fluid mechanics Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics. Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.

Steve Fuller has a reputation for setting the terms of debate within science and technology studies. In his latest book, New Frontiers in Science and Technology Studies he charts the debates likely to be of relevance in the coming years. Should science and technology be treated as separate entities? What impact has globalization had on science and technology? Can science be clearly distinguished from other forms of knowledge? Does the politicization of science really matter? Is there a role for the social regulation of scientific inquiry? Should we be worried about research fraud? These questions are explored by examining an array of historical, philosophical and contemporary sources. Attention is paid, for example, to the Bruno Latour's The Politics of Nature as a model for science policy, as well as the global controversy surrounding Bjorn Lomborg's The Sceptical Environmentalist, which led to the dismantling and re-establishment of the Danish national research ethics board. New Frontiers in Science and Technology Studies will appeal strongly to scholars and advanced undergraduate and graduate students in courses concerned with the social dimensions of science and technology, and anyone who cares about the future of science.

A compelling history of science from 1900 to the present day, this is the first book to survey modern developments in science during a century of unprecedented change, conflict and uncertainty. The scope is global. Science's claim to access universal truths about the natural world made it an irresistible resource for industrial empires, ideological programs, and environmental campaigners during this period. Science has been at the heart of twentieth century history – from Einstein's new physics to the Manhattan Project, from eugenics to the Human Genome Project, or from the wonders of penicillin to the promises of biotechnology. For some science would only thrive if autonomous and kept separate from the political world, while for others science was the best guide to a planned and better future. Science was both a routine, if essential, part of an orderly society, and the disruptive source of bewildering transformation. Jon Agar draws on a wave of recent scholarship that explores science from interdisciplinary perspectives to offer a readable synthesis that will be ideal for anyone curious about the profound place of science in the modern world.

Adopting a unique approach, this novel textbook integrates science and business for an inside view on the biotech industry. Peering behind the scenes, it provides a thorough analysis of the foundations of the present day industry for students and professionals alike: its history, its tools and processes, its markets and products. The authors, themselves close witnesses of the emergence of modern biotechnology from its very beginnings in the 1980s, clearly separate facts from fiction, looking behind the exaggerated claims made by start-up companies trying to attract investors. Essential reading for every student and junior researcher looking for a career in the biotech sector.

It is commonly assumed that the rise of modern democracies put an end to the spectacular and ceremonial aspects of political rule that were so characteristic of monarchies and other earlier regimes. The medieval idea that the king had two bodies – a mortal physical body and an eternal political body – strikes us today as alien and remote from our understanding of politics: with the transition from monarchy to modern representative democracy, the idea of the body politic was abandoned. Or was it? In this remarkable and highly original book Philip Manow shows that the body politic, though so often pronounced dead, remains alive in modern democracies. It is just one of the many ideas that we have inherited from our predecessors and that continue to shape our modern forms of political life. Why did the semi-circle become the main seating plan for modern parliaments? Why do we think that parliament should mirror the diversity of society? Why does the president's motorcade always have more than one identical-looking Cadillac? Why do we pay so much attention to the physical features and appearance – the body – of our political leaders today? In answering these and other questions Manow sheds fresh light on the pre-modern origins of our modern political institutions and practices and shows convincingly that all political power – including democracy – requires and produces its own political mythology.

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods, essential in the analysis of forensic scientific data is explored. These include the comparison of allele proportions in populations, the comparison of means, the choice of sampling size, and the discrimination of items of evidence of unknown origin into predefined populations. Throughout this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language. The reader is taken through these applied examples in a step-by-step approach, discussing the methods at each stage.

A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored. Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians. Key features include: Description of the physicochemical analysis of forensic trace evidence. Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data. Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation. Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR. Practical examples and recommendations for the use of all these methods in practice.

Learn more about how people communicate during crises with this insightful collection of resources  In  Communicating Science in Times of Crisis: COVID-19 Pandemic , distinguished academics and editors H. Dan O’Hair and Mary John O’Hair have delivered an insightful collection of resources designed to shed light on the implications of attempting to communicate science to the public in times of crisis. Using the recent and ongoing coronavirus outbreak as a case study, the authors explain how to balance scientific findings with social and cultural issues, the ability of media to facilitate science and mitigate the impact of adverse events, and the ethical repercussions of communication during unpredictable, ongoing events.  The first volume in a set of two,  Communicating Science in Times of Crisis: COVID-19 Pandemic  isolates a particular issue or concern in each chapter and exposes the difficult choices and processes facing communicators in times of crisis or upheaval. The book connects scientific issues with public policy and creates a coherent fabric across several communication studies and disciplines. The subjects addressed include:  A detailed background discussion of historical medical crises and how they were handled by the scientific and political communities of the time Cognitive and emotional responses to communications during a crisis Social media communication during a crisis, and the use of social media by authority figures during crises Communications about health care-related subjects Data strategies undertaken by people in authority during the coronavirus crisis Perfect for communication scholars and researchers who focus on media and communication,  Communicating Science in Times of Crisis: COVID-19 Pandemic  also has a place on the bookshelves of those who specialize in particular aspects of the contexts raised in each of the chapters: social media communication, public policy, and health care.

“This book will be a valuable resource for psychologists and educators who work with children or adolescents who are having difficulties with memory and learning. Translating theory and research into practice is a talent that Dr. Dehn possesses and we will benefit from his professional skills.” – From the Foreword by Daniel C. Miller, PhD, ABPP, ABSNP, NCSP An indispensable guide that examines the effect of long-term memory functions on children's learning Long-Term Memory Problems in Children and Adolescents: Assessment, Intervention, and Effective Instruction is the first book of its kind for psychologists, school psychologists, and special education teachers who need an overview of long-term memory as it relates to learning and education. It presents the best practices for assessing long-term memory functions, as well as selecting and using evidence-based instructional practices with memory-impaired students. This useful and timely guide bridges theory and practice to provide professional guidance with coverage of: Risk factors that can lead to long-term memory impairments How long-term memory relates to other types of memory The subcomponents and processes of long-term memory and how they relate to academic achievement What is known about the neuroanatomy of how memories are formed The developmental trajectory of memory and learning Common types of memory dysfunction Memory assessment strategies, interventions for memory problems, and instructional practices that support memory Author Milton Dehn draws on his extensive experience as a trainer and workshop presenter, school psychologist, and educator to present both the theory and research on long-term memory in children and adolescents in this book. Specific step-by-step guidance and hands-on case studies enable professionals to identify how memory can be assessed as well as the interventions that can be linked to the results of the assessment.