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The remarkable scientific story of how Earth became an oxygenated planet The air we breathe is twenty-one percent oxygen, an amount higher than on any other known world. While we may take our air for granted, Earth was not always an oxygenated planet. How did it become this way? Donald Canfield—one of the world's leading authorities on geochemistry, earth history, and the early oceans—covers this vast history, emphasizing its relationship to the evolution of life and the evolving chemistry of the Earth. Canfield guides readers through the various lines of scientific evidence, considers some of the wrong turns and dead ends along the way, and highlights the scientists and researchers who have made key discoveries in the field. Showing how Earth’s atmosphere developed over time, Oxygen takes readers on a remarkable journey through the history of the oxygenation of our planet.
Designed by leading experts in the field of science education, this hands-on science workbook provides aspiring scientists, in fifth and sixth grade, the tools they need to become actively involved with science. Science Essentials leads children through the processes of observation and experimentation, prediction and drawing conclusions. It covers all the essential science topics like the scientific method, the animal kingdom, the human body, genetics, animal and plant cells, plants, food chains and webs, environment, geology, meteorology, the solar system, elements, electricity, sound, and simple and compound machines. Step-by-step lessons and hands-on experiments are provided in an exciting and easy-to-follow way. A periodic table of the elements poster with stickers of the individual elements are included. Science Essentials is the most complete book that offers: * Challenging and motivating science investigations * Hands-on approach to science learning. * Complete directions and examples to encourage independent study. * Vivid, full-color illustrations to spark the learner's interest. * An answer key to measure student performance.
The fourth edition of this classic text continues to use a multidisciplinary approach to expose the non-major food science student to the physical and chemical composition of foods. Additionally, food preparation and processing, food safety, food chemistry, and food technology applications are discussed in this single source of information. The book begins with an Introduction to Food Components, Quality and Water. Next, it addresses Carbohydrates in Food, Starches, Pectins and Gums. Grains: Cereals, Flour, Rice and Pasta, and Vegetables and Fruits follow. Proteins in Food, Meat, Poultry, Fish, and Dry Beans; Eggs and Egg Products, Milk and Milk Products as well as Fats and Oil Products, Food Emulsions and Foams are covered. Next, Sugar, Sweeteners, and Confections and a chapter on Baked Products Batters and Dough is presented. A new section entitled Aspects of Food Processing covers information on Food Preservation, Food Additives, and Food Packaging. Food Safety and Government Regulation of the Food Supply and Labeling are also discussed in this text. As appropriate, each chapter discusses the nutritive value and safety issues of the highlighted commodity. The USDA My Plate is utilized throughout the chapters. A Conclusion, Glossary and further References as well as Bibliography are included in each chapter. Appendices at the end of the book include a variety of current topics such as Biotechnology, Functional Foods, Nutraceuticals, Phytochemicals, Medical Foods, USDA Choosemyplate.gov, Food Label Health Claims, Research Chefs Association certification, Human Nutrigenomics and New Product Development.
Science Teaching Essentials: Short Guides to Good Practice serves as a reference manual for science faculty as they set up a new course, consider how to teach the course, figure out how to assess their students fairly and efficiently, and review and revise course materials. This book consists of a series of short chapters that instructors can use as resources to address common teaching problems and adopt evidence-based pedagogies. By providing individual chapters that can be used independently as needed, this book provides faculty with a just-in-time teaching resource they can use to draft a new syllabus. This is a must-have resource for science, health science and engineering faculty, as well as graduate students and post-docs preparing for future faculty careers. - Provides easily digested, practical, research-based information on how to teach - Allows faculty to efficiently get up-to-speed on a given pedagogy or assessment method - Addresses the full range of faculty experiences as they being to teach for the first time or want to reinvent how they teach
NSCA's Essentials of Sport Science provides the most contemporary and comprehensive overview of the field of sport science and the role of the sport scientist. It is a primary preparation resource for the Certified Performance and Sport Scientist (CPSS) certification exam.
Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.
The essential beginner's guide to string theory The Little Book of String Theory offers a short, accessible, and entertaining introduction to one of the most talked-about areas of physics today. String theory has been called the "theory of everything." It seeks to describe all the fundamental forces of nature. It encompasses gravity and quantum mechanics in one unifying theory. But it is unproven and fraught with controversy. After reading this book, you'll be able to draw your own conclusions about string theory. Steve Gubser begins by explaining Einstein's famous equation E = mc2, quantum mechanics, and black holes. He then gives readers a crash course in string theory and the core ideas behind it. In plain English and with a minimum of mathematics, Gubser covers strings, branes, string dualities, extra dimensions, curved spacetime, quantum fluctuations, symmetry, and supersymmetry. He describes efforts to link string theory to experimental physics and uses analogies that nonscientists can understand. How does Chopin's Fantasie-Impromptu relate to quantum mechanics? What would it be like to fall into a black hole? Why is dancing a waltz similar to contemplating a string duality? Find out in the pages of this book. The Little Book of String Theory is the essential, most up-to-date beginner's guide to this elegant, multidimensional field of physics.
This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!
Order and Disorder is a non-mathematical introduction to the most important ideas in science for university students not majoring in a scientific area. The objective is to prepare non-science students for making both life and political decisions involving science and helping them to understand the advances in sciences as covered and reported in the mass media. The book is highly comprehensive in physics and chemistry, and provides the essential background to discuss and gain a better appreciation of selected topics in biological and neurological sciences, as well as astronomy and geology. The topics are integrated with the recurring theme of order and disorder, the organization achieved in the face of the never-ending drive towards disorganization. The book also lends an insight into some considerations of the philosophy of science, as well as the applications of science to health and a variety of other professions. The reading experience is enhanced by the provision of illuminating examples, supplementary reading and a summary of each chapter. New terminologies, that appear here for the first time, are set off in bold italics and annotated in the glossary. Where basic principles are introduced and explained, these are highlighted prominently in bold for ease of reference. Stimulating discussion questions are presented at the end of each chapter, giving readers some food for thought./a
Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basics Review what you've already learned or pick up key skills Effectively work with data and provide accessible materials to others Jog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.