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Some vols. include supplemental journals of "such proceedings of the sessions, as, during the time they were depending, were ordered to be kept secret, and respecting which the injunction of secrecy was afterwards taken off by the order of the House."
'Sound Targets' explores the role of music in American military culture, focusing on the experiences of soldiers returning from active service in Iraq. Pieslak describes how American soldiers hear, share, use & produce music, both on & off duty.
Music occupies a peculiar role in the field of American Studies. It is undoubtedly recognized as an important form of cultural production, yet the field continues to privilege textual and visual forms of art as its objects of examination. The essays collected in this volume seek to adjust this imbalance by placing music center stage while still acknowledging its connections to the fields of literary and visual studies that engage with the specifically American cultural landscape. In doing so, they proffer the concept of the 'musical unconscious' as an analytical tool of understanding the complexities of the musical production of meanings in various social, political, and technological contexts, in reference to country, queer punk, jazz, pop, black metal, film music, blues, carnival music, Muzak, hip-hop, experimental electronic music, protest and campaign songs, minimal music, and of course the kazoo. Contributions by Hanjo Berressem, Christian Broecking, Martin Butler, Christof Decker, Mario Dunkel, Benedikt Feiten, Paola Ferrero, Jurgen Grandt, Julius Greve, Christian Hanggi, Jan Niklas Jansen, Thoren Opitz, Sascha Pohlmann, Arthur Sabatini, Christian Schmidt, Bjorn Sonnenberg-Schrank, Gunter Suss, and Katharina Wiedlack."
Mary Mapes's Truth (previously published as Truth & Duty) was made into the 2015 film Truth, starring Cate Blanchett, Robert Redford, Topher Grace and Elizabeth Moss. A riveting play-by-play of a reporter getting and defending a story that recalls All the President's Men, Truth puts readers in the center of the "60 Minutes II" story on George W. Bush's shirking of his National Guard duty. The firestorm that followed that broadcast--a conflagration that was carefully sparked by the right and fanned by bloggers--trashed Mapes' well-respected twenty-five year producing career, caused newsman Dan Rather to resign from his anchor chair early and led to an unprecedented "internal inquiry" into the story...chaired by former Reagan attorney general Richard Thornburgh. Truth examines Bush's political roots as governor of Texas, delves into what is known about his National Guard duty-or lack of service-and sheds light on the solidity of the documents that backed up the National Guard story, even including images of the actual documents in an appendix to the book. It is peopled with a colorful cast of characters-from Karl Rove to Sumner Redstone-and moves from small-town Texas to Black Rock-CBS corporate headquarters-in New York City. Truth connects the dots between a corporation under fire from the federal government and the decision about what kinds of stories a news network may cover. It draws a line from reporting in the trenches to the gutting of the great American tradition of a independent media and asks whether it's possible to break important stories on a powerful sitting president.
DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.