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A scientist's personal reflections on how to harness creativity and curiosity to generate new ideas and discover the unexpectedLike any creative endeavor, science can be a messy and chaotic affair. On the Art and Craft of Doing Science shares the creative process of an innovative and accomplished scientist, taking readers behind the scenes of some of his most pioneering investigations and explaining why the practice of science, far from being an orderly exercise in pure logic, is a form of creative expression like any other art.Kenneth Catania begins by discussing how ideas set the stage for scientific breakthroughs and goes on to describe ways to approach experimental design. He sheds light on the importance of art in making discoveries and demonstrates how to find and tell a compelling story about a scientific result while accurately communicating its findings. What role does failure play in science? Is it possible to fail better? How do you define success? Catania provides insights to these and other questions, along the way sharing the lessons he's learned from diverse figures ranging from science philosopher Thomas Kuhn to novelist Stephen King.Blending illuminating historical examples with insights from Catania's own groundbreaking research in biology and neuroscience, On the Art and Craft of Doing Science draws parallels with art and writing to reveal the creative side to the practice of good science.

Learn all the foundational Python you'll need to solve real data science problems Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This guide is specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Master Google colab notebook Data Science programming Manipulate data with popular Python libraries such as: pandas and numpy Apply Python Data Science recipes to real world projects Learn functional programming essentials unique to Data Science Access case studies, chapter exercises, learning assessments, comprehensive Jupyter based Notebooks, and a complete final project Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more--all created with colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.

A rare book that feels equally of its time and timeless, this collection of vintage magazine articles presents simple hands-on experiments that seem as much like parlor tricks as they do scientific discoveries. The illusions introduce a range of principles, including centrifugal force, magnetism, and atmospheric pressure. Employing such common household items as corks, bottles, eggs, and soap, the feats are delightfully easy to conduct.More than 150 experiments, each accompanied by a charming period engraving, promise to amuse and astonish viewers. Stunts include making an egg waltz and a banana peel itself, balancing a plate on the point of a needle and a cup of coffee on a knife blade, changing water into wine and back again, and scores of other exploits. Created by French engineer and science educator Arthur Good, these experiments are regarded as the foundations of the modern approach to science education.

A very challenging subject like IB chemistry requires tremendous effort to understand fully and attain a high grade. ‘IB Chemistry Revision Guide', written by one of the most experienced and respected chemistry teachers in the UK, simplifies the content and provides clear explanations for the material. Each chapter is separated into two-page spreads covering all the essential details in easy-to-follow sections. High level and Standard level material are clearly marked. Complicated calculations have worked out examples to help the student. Also included are ‘curveball'examples of the sort of challenging questions IB examiners love.

How did it all begin? Where is it all going?WHY GENERAL RELATIVITY LEAVES UNFINISHED BUSINESS WITH THE COSMOSA little over a century ago, a young Albert Einstein presented his general theory of relativity to the world and utterly transformed our understanding of the universe. He overturned centuries of thinking about gravity by revealing how it arises from the curvature of space and time. Yet general relativity has had far greater consequences. It has revealed that our universe has been expanding from a hot dense state called the big bang. It has changed our understanding of space and time. And it predicts that the universe is an extreme place, containing black holes and possibly wormholes.Using Einstein's insights, today's cosmologists have come to realize that most of the universe is missing in the form of mysterious dark matter and dark energy.In Where The Universe Came From leading cosmologists and New Scientist explain that while we have made great progress, we still have plenty of unfinished business with the cosmos. How does the dark universe shape our cosmic destiny? What is really happening near black holes? Are we any closer to discovering the ripples in space-time predicted by Einstein? Why is relativity not the final answer?ABOUT THE SERIESNew Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

In a crucial shift within posthumanistic media studies, Bernhard Siegert dissolves the concept of media into a network of operations that reproduce, displace, process, and reflect the distinctions fundamental for a given culture. Cultural Techniques aims to forget our traditional understanding of media so as to redefine the concept through something more fundamental than the empiricist study of a medium's individual or collective uses or of its cultural semantics or aesthetics. Rather, Siegert seeks to relocate media and culture on a level where the distinctions between object and performance, matter and form, human and nonhuman, sign and channel, the symbolic and the real are still in the process of becoming. The result is to turn ontology into a domain of all that is meant in German by the word Kultur.Cultural techniques comprise not only self-referential symbolic practices like reading, writing, counting, or image-making. The analysis of artifacts as cultural techniques emphasizes their ontological status as “in-betweens,” shifting from firstorder to second-order techniques, from the technical to the artistic, from object to sign, from the natural to the cultural, from the operational to the representational.Cultural Techniques ranges from seafaring, drafting, and eating to the production of the sign-signaldistinction in old and new media, to the reproduction of anthropological difference, to the study of trompe-l'oeils, grids, registers, and doors. Throughout, Siegert addresses fundamental questions of how ontological distinctions can be replaced by chains of operations that process those alleged ontological distinctions within the ontic.Grounding posthumanist theory both historically and technically, this book opens up a crucial dialogue between new German media theory and American postcybernetic discourses.

Intelligence is currently facing increasingly challenging cross-pressures from both a need for accurate and timely assessments of potential or imminent security threats and the unpredictability of many of these emerging threats. We are living in a social environment of growing security and intelligence challenges, yet the traditional, narrow intelligence process is becoming increasingly insufficient for coping with diffuse, complex, and rapidly-transforming threats. The essence of intelligence is no longer the collection, analysis, and dissemination of secret information, but has become instead the management of uncertainty in areas critical for overriding security goals--not only for nations, but also for the international community as a whole. For its part, scientific research on major societal risks like climate change is facing a similar cross-pressure from demand on the one hand and incomplete data and developing theoretical concepts on the other. For both of these knowledge-producing domains, the common denominator is the paramount challenges of framing and communicating uncertainty and of managing the pitfalls of politicization. National Intelligence and Science is one of the first attempts to analyze these converging domains and the implications of their convergence, in terms of both more scientific approaches to intelligence problems and intelligence approaches to scientific problems. Science and intelligence constitute, as the book spells out, two remarkably similar and interlinked domains of knowledge production, yet ones that remain traditionally separated by a deep political, cultural, and epistemological divide. Looking ahead, the two twentieth-century monoliths--the scientific and the intelligence estates--are becoming simply outdated in their traditional form. The risk society is closing the divide, though in a direction not foreseen by the proponents of turning intelligence analysis into a science, or the new production of scientific knowledge.

Cell Signaling presents the principles and components that underlie all known signaling mechanisms. The book provides undergraduate and graduate biology students with the tools needed to make sense of the array of specific pathways used by the cell to communicate. It describes basic signaling mechanisms such as protein interactions, changes in enzyme activity, post-translational modifications, subcellular localization of signaling molecules, and small diffusible signaling mediators. The book also explores the components of signaling pathways and how they are wired into pathways and circuits that can process information.

Science is the ultimate parenting tool. After all, it's really all about observing, asking questions, solving problems, making mistakes, and trying again and again and again—just like being a mom or dad! Come along with Lynn Brunelle as she initiates you into the joys of geek-style parenting. A proud geek mom herself—and an Emmy-winning writer for the show Bill Nye, the Science Guy—Lynn has had a love of science from the time she was a child. When she had her own kids, science became like a friend she could lean on for support, helping her make sense of the joy, pain, and uncertainty of parenting. Join her as she infuses her days with science, and shares it, in all its geeky wonder, with her kids.

What are the key debates in science teaching and learning today? Debates in Science Education explores the major issues all science teachers encounter in their daily professional lives. It encourages critical reflection and aims to stimulate both novice and experienced teachers to think more deeply about their practice, and link research and evidence to what they have observed in schools. Written by expert science educators, chapters tackle established and contemporary issues enabling you to reach informed judgements and argue your point of view with deeper theoretical knowledge and understanding. Each chapter is supported and extended by carefully selected further reading and reflective questions. Key debates include: the impact of policy on science education; transition from primary to secondary school; getting right the secondary science curriculum; girls in science; sex education and science; school science and technology; language and communication in the classroom; world science, local science. With its combination of expert opinion and fresh insight, Debates in Science Education is the ideal companion for any student or practising teacher engaged in initial training, continuing professional development and Masters level study.

Drawn from the cutting-edge frontiers of science, This Explains Everything will revolutionize your understanding of the world.What is your favorite deep, elegant, or beautiful explanation? This is the question John Brockman, publisher of Edge.org ('The world's smartest website'—The Guardian), posed to the world's most influential minds. Flowing from the horizons of physics, economics, psychology, neuroscience, and more, This Explains Everything presents 150 of the most surprising and brilliant theories of the way of our minds, societies, and universe work.Jared Diamond on biological electricity • Nassim Nicholas Taleb on positive stress • Steven Pinker on the deep genetic roots of human conflict • Richard Dawkins on pattern recognition • Nobel Prize-winning physicist Frank Wilczek on simplicity • Lisa Randall on the Higgs mechanism • BRIAN Eno on the limits of intuition • Richard Thaler on the power of commitment • V. S. Ramachandran on the'neural code'of consciousness • Nobel Prize winner ERIC KANDEL on the power of psychotherapy • Mihaly Csikszentmihalyi on'Lord Acton's Dictum'• Lawrence M. Krauss on the unification of electricity and magnetism • plus contributions by Martin J. Rees • Kevin Kelly • Clay Shirky • Daniel C. Dennett • Sherry Turkle • Philip Zimbardo • Lee Smolin • Rebecca Newberger Goldstein • Seth Lloyd • Stewart Brand • George Dyson • Matt Ridley

People of all ages and backgrounds can discover how to contribute to real scientific research with this handy guide. It defines citizen science, providing an overview of the social and community aspects behind the idea. The book is organized by topic and features links to library resources and descriptions of books appropriate to the subject. In addition, a section devoted to ongoing citizen-science programs includes detailed descriptions for parents and children to identify projects appropriate to their interests, abilities, commitment levels, and locations. Accessible for the whole family, this invaluable resource provides the tools for building strong families as well as improving the global community.

What is time? How did it begin, and where will it end? Is time travel possible? How does the universe expand, and where do black holes come from? Junior Chicken and Alexis, the Quantum Cat, examine these and other extraordinary concepts, explaining the substance of Stephen Hawking's A Brief History of Time in terms that'even a chicken can understand.'This humorous graphic novel–style exploration of cosmology and quantum physics will amuse and enlighten curious folk of all ages. Author John Gribbin received his PhD in astrophysics from the University of Cambridge and has written more than 120 popular science books, many of them science fiction. He swears on Einstein's socks that every word in this book — fantastic as it seems — is true. Artist Kate Charlesworth's extensive and diverse career in illustration includes a cartoon strip for New Scientist,'Life, the Universe and (Almost) Everything.'

A book that challenges common misconceptions about the nature of intelligenceSatoshi Kanazawa's Why Beautiful People Have More Daughters (written with Alan S. Miller) was hailed by the Los Angeles Times as'a rollicking bit of pop science that turns the lens of evolutionary psychology on issues of the day.'That book answered such burning questions as why women tend to lust after males who already have mates and why newborns look more like Dad than Mom. Now Kanazawa tackles the nature of intelligence: what it is, what it does, what it is good for (if anything). Highly entertaining, smart (dare we say intelligent?), and daringly contrarian, The Intelligence Paradox will provide a deeper understanding of what intelligence is, and what it means for us in our lives.Asks why more intelligent individuals are not better (and are, in fact, often worse) than less intelligent individuals in solving some of the most important problems in life—such as finding a mate, raising children, and making friends Discusses why liberals are more intelligent than conservatives, why atheists are more intelligent than the religious, why more intelligent men value monogamy, why night owls are more intelligent than morning larks, and why homosexuals are more intelligent than heterosexuals Explores how the purpose for which general intelligence evolved—solving evolutionarily novel problems—allows us to explain why intelligent people have the particular values and preferences they have Challenging common misconceptions about the nature of intelligence, this book offers surprising insights into the cutting-edge of science at the intersection of evolutionary psychology and intelligence research.

This book is the THE source for information on virtual worlds, covering every aspect of this intriguing and fast-changing social practice and the technologies upon which it rests.Virtual Lives: A Reference Handbook describes the history, development, and role of virtual worlds, also known as virtual environments and immersive virtual environments. It provides detailed background about virtual worlds and their societal impact, from early precursors and inspirations to the latest trends and developments. Specifics on user demographics are included, as are descriptions of virtual worlds'functions, discussion of societal concerns and opportunities, and information about relevant research data and key persons and organizations.Although virtual worlds in their current form are a relatively new phenomenon, other online social environments have served as precursors for decades and literary inspirations go back even further. This handbook therefore covers some early developments dating back to the mid-20th century. Its primary focus, however, is on developments since the mid-1990s and especially on the current state and social impact of virtual worlds, including their impact both in the United States and around the world.

What happens when we let robots play the game of life?

"Nursing Care at the End of Life: What Every Clinician Should Know should be an essential component of basic educational preparation for the professional registered nurse student. Recent studies show that only one in four nurses feel confident in caring for dying patients and their families and less than 2% of overall content in nursing textbooks is related to end-of-life care, despite the tremendous growth in palliative and end-of-life care programs across the country. The purpose of this textbook is to provide an indepth look at death and dying in this country, including the vital role of the nurse in assisting patients and families along the journey towards the end of life. There is an emphasis throughout the book on the simple, yet understated value of effective interpersonal communication between the patient and clinician. The text provides a basic foundation of understanding death and dying, including a brief historical examination of some main conceptual models associated with how patients cope with impending loss. An overview of illness trajectories and models of care, such as hospice and palliative care are discussed. Lastly, the latest evidence-based approaches for pain and symptom management, ethical concerns, cultural considerations, care at the time of death, and grief/bereavement are examined. The goal of this text is to foster the necessary skills for nurses to provide compassionate care to individuals who are nearing the end of life and their families. Every chapter contains a "What You Should Know" section which highlights and reinforces foundational concepts."--Provided by publisher.

"Natural resources biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity"--Provided by publisher.