Notable features of the book include an insightful analysis of the parallel trajectories of modern chemistry and physics and the work of scientists - such as John Dalton, Michael Faraday, Hermann von Helmholtz, Marie Curie, Ernest Rutherford, Dorothy Hodgkin, and Linus Pauling - who played prominent roles in the development of both disciplines.
A heroic time -- South Dakota boy -- "I'm going to be famous" -- Shims and sealing wax -- Oppie -- The deuton affair -- The cyclotron republic -- John Lawrence's mice -- Laureate -- Mr. Loomis -- "Ernest, are you ready?" -- The racetrack -- Oak Ridge -- The road to Trinity -- The postwar bonanza -- Oaths and loyalties -- The shadow of the Super -- Livermore -- The Oppenheimer affair -- The return of small science -- The "clean bomb" -- Element 103.
A fact packed celebration of science from the clever people who bring you AQUILA magazine. The Book of Big Science Ideas introduces young readers, aged 8 and up, to 15 brilliant science ideas and more than 50 ingenious thinkers who have helped shape our understanding of the world. What is everything made of? What is our place in space? Can machines think? And why does your hat come hurtling back down after you've chucked it into the air? This book has the answers! Readers will learn all about established ideas such as atoms, electricity and the solar system, as well as ideas that are still evolving such as gravity, energy and classification, right up to recent discoveries like AI and genetics. Each big idea is explored over two double-page spreads: the first explains the idea in rich detail and with plenty of bright and engaging illustrations and diagrams, while the second spread introduces readers to the key scientists and thinkers who helped shape the idea with fun portraits for each one. Thinkers include, Wang Zhenyi, Louis Pasteur, Marie Curie, James Joule, Rosalind Franklin, Charles Darwin, Aristotle, Edith Clarke, Isaac Newton, Grace Hopper, Alan Turing, Ada Lovelace and many, many more! Spreads on why ideas matter, the scientific method, future ideas and even more scientists to discover are also included, and a detailed timeline and glossary of scientific terms ensure that readers have the tools to really get to grips with the concepts. This is the perfect book for science-loving kids everywhere.
Now in Paperback! Take science to a whole new level. Created in partnership with Prentice Hall, the Big Idea Science Book is a comprehensive guide to key topics in science falling into four major strands (Living Things, Earth Science, Chemistry, and Physics), with a unique difference — a website component with 200 specially created digital assets that provide the opportunity for hands-on, interactive learning.
Launched in 1942, the Manhattan Project was a well-funded, secret effort by the United States, the United Kingdom, and Canada to develop an atomic bomb before the Nazis. The results--the bombs named "Little Boy" and "Fat Man"--were dropped on Hiroshima and Nagasaki in August of 1945. A vast state within a state, the Manhattan Project employed 130,000 people and cost the United States and its allies 2 billion dollars, but its contribution to science as a prestigious investment was invaluable. After the bombs were dropped, states began allocating unprecedented funds for scientific research, leading to the establishment of many of twentieth century's major research institutions. Yet the union of science, industry, and the military did not start with the development of the atomic bomb; World War II only deepened the relationship. This absorbing history revisits the interactions among science, the national interest, and public and private funding that was initiated in World War I and flourished in WWII. It then follows the Manhattan Project from inception to dissolution, describing the primary influences that helped execute the world's first successful plan for nuclear research and tracing the lineages of modern national nuclear agencies back to their source.
Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.
What are the great scientific questions of our modern age and why don't we know the answers? This volume takes on the most fascinating and pressing mysteries we have yet to crack and explains how tantalisingly close science is to solving them (or how frustratingly out of reach they remain).