Kirjahaku

"Grunt Air" tells the story of an elite Air Force helicopter unit used for the secret rescue of American pilots shot down during the Vietnam War who were being held and tortured by the enemy in Laos and Cambodia. Mid-1971 saw the Vietnam peace talks in Paris going nowhere. Eager for an end to the war, the U.S. halted POW rescue missions that might encumber the peace talks. Washington did, however, authorize military survey teams to collect crash site information. The 7th Air Force used this "loophole" to create a clandestine POW rescue operation. Nicknamed 'Grunt Air' by the Air Force boys, they flew missions daily, disguised as a purely technical team, at one point even rescuing the wife of a CIA agent trapped behind enemy lines. Not long after its formation, Grunt Air located three POWs in a North Vietnamese prison camp near Hanoi. The officers - an American, an Australian and a South Vietnamese - had knowledge of sensitive information that could under no circumstance reach enemy commanders in Hanoi and Moscow. Their fate was sealed: either Grunt Air rescue these men or a B-52 strike would be ordered to take care of them.

Taylor tells the story of the post-World War I entrenched military, political, and ideological debate that threatened the early development of America's strategic bombardment capability.

In response to popular demand, University Science Books is delighted to announce the one and only authorized Student Solutions Manual for John R. Taylor's internationally best-selling textbook, Classical Mechanics. This splendid little manual, by the textbook's own author, restates the odd-numbered problems from the book and the provides crystal-clear, detailed solutions. Of course, the author strongly recommends that students avoid sneaking a peek at these solutions until after attempting to solve the problems on their own! But for those who put in the effort, this manual will be an invaluable study aid to help students who take a wrong turn, who can't go any further on their own, or who simply wish to check their work.

This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes’ theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability – if students construct their own spreadsheets and avoid the temptation to use built-in functions – to teach the meaning of these concepts.

This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes’ theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability – if students construct their own spreadsheets and avoid the temptation to use built-in functions – to teach the meaning of these concepts.

The rise of corporate social responsibility (CSR) is creating a paradigm shift in contemporary corporate culture and organizational behaviour with shareholder and stakeholder activism on the rise as international banking crises and global corporate scandals dominate the headlines. Through accountability and transparency, fiduciary capitalism is being challenged to tie sustainability and corporate conscience to the bottom line. With the emergence of impact investing, social responsibility and ethics in corporate governance is becoming essential to long-term success in the new global marketplace. Corporations need to demonstrate that ethical, environmentally conscious business practices and profit are no longer mutually exclusive. Justine Simpson and John R. Taylor's Corporate Governance Ethics and CSR gives the reader a comprehensive guide to today's requirements for governance and reporting that organizations must adopt to successfully strike a balance between financial gain and socially responsible, green business practices that enhance the greater good. Employing current examples (Walmart, Goldman Sachs, Citigroup) and case studies in both the public and private sectors, Simpson and Taylor have compiled a thorough and fascinating roadmap, including historical context, for anyone seeking to understand the complex workings of the international corporate economy that affects us all. This book is perfect for students of, and those wishing to participate in, this revolutionary wave sweeping our planet.