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“The perfect YA thriller for right now—think John Grisham meets John Green.” —Margaret Stohl, New York Times bestselling author of Beautiful Creatures “Gripping and twisty, but also filled with heart. A fun must-read.” —Melissa de la Cruz, New York Times bestselling author of Alex and Eliza “An enthralling plot of power, greed, and murder.” —Kirkus Reviews “A YA version of the TV show Scandal, and it is just as addictive.” —Publishers Weekly From debut author Peter Stone comes a heart-stopping, pulse-pounding political thriller that’s perfect for fans of Ally Carter and House of Cards. When recent high school graduate Cameron Carter lands an internship with Congre...
If you feel frustrated because all you do is work, yet do not seem to reap the rewards of your hard work while others live the life of absolute luxury, wealth and power without working, this book will show you why. It covers many different subjects, and will build you the mind's eye of the complex structure of the system, which is designed to strip you of your wealth, and give it to those in power. This book has been written to be read from start to finish first, and then used as reference, because there is way too much detail to rely on memory alone to remember. Such topics are as follows: Money, The Banking System, Tax, GDP, Debating Techniques, Gas-lighting, Free speech, Propaganda, Polit...
"International Trade Law offers comprehensive analysis of international sale transactions through case law, policy documents, legislation, international conventions and rules adopted by international organisations such as the ICC."--
Largely, this is because lottery-based decisions are not based upon reasons.
A Fragile Stone explores the dynamic life of the apostle Peter, revisiting well-known passages and revealing unexpected insights. Author Michael Card sketches out Peter’s life, showing how the impetuous fisherman of the Gospels was transformed into the pivotal leader of the early church.
“This meticulously researched account underlines the importance of the capital’s docklands . . . from Roman landing to modern financial centre.” —Discover Britain The River Thames has been integral to the prosperity of London since Roman times. Explorers sailed away on voyages of discovery to distant lands. Colonies were established and a great empire grew. Funding their ships and cargoes helped make the City of London into the world’s leading financial center. In the nineteenth century a vast network of docks was created for ever-larger ships, behind high, prison-like walls that kept them secret from all those who did not toil within. Sail made way for steam as goods were dispatch...
This monumental reference work--long awaited by collectors and scholars--fills an important gap in the available literature on oriental rugs. Lavishly illustrated with over 1000 photographs and drawings, it offers clear and precise definitions for the rug and textile terms in use across a broad swath of the globe--from Morocco to Turkey, Persia, the Caucasus region, Central Asia, Afghanistan, Pakistan, India and China. Covering priceless museum-quality rug traditions as well as modern centers of production, Oriental Rugs: An Illustrated Lexicon of Motifs, Materials, and Origins draws on classical scholarship as well as current terminology in use among producers and traders in these areas tod...
The screenplay of the classic 1963 romantic thriller, Charade, which starred Hollywood legends Cary Grant and Audrey Hepburn. A stylish and witty screenplay oozing old time Hollywood charm.
This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mappi...