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Who was Who on TV
The information herein was accumulated of fifty some odd years. The collection process started when TV first came out and continued until today. The books are in alphabetical order and cover shows from the 1940s to 2010. The author has added a brief explanation of each show and then listed all the characters, who played the roles and for the most part, the year or years the actor or actress played that role. Also included are most of the people who created the shows, the producers, directors, and the writers of the shows. These books are a great source of trivia information and for most of the older folk will bring back some very fond memories. I know a lot of times we think back and say, "Who was the guy that played such and such a role?" Enjoy!
The reliquary
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What America Watched
Although television critics have often differed with the public with respect to the artistic and cultural merits of television programming, over the last half-century television has indubitably influenced popular culture and vice versa. No matter what reasons are cited--the characters, the actors, the plots, the music--television shows that were beloved by audiences in their time remain fondly remembered. This study covers the classic period of popular television shows from the 1960s through the 1990s, focusing on how regular viewers interacted with television shows on a personal level. Bridging popular and scholarly approaches, this book discovers what America actually watched and why through documents, footage, visits to filming locations, newspapers, and magazine articles from the shows' eras. The book features extensive notes and bibliography.
The Kings & Queens of Hollywood Comedy
The Hollywood Comedy is a genre of film in which the main emphasis is on humor. The book follows the careers of Comedy teams, such as Martin & Lewis, the Marx Brothers, Abbott & Costello, Laurel & Hardy and many more comedy groups. Also we follow the comedy Kings & Queens like Lucille Ball, Marthe Raye, David Spade, Richard Pryor, Bill Murray, Soupy Sales, Grouch Marx, Mo & Curly Howard, Terry-Thomas, Buddy Hackett, Billy Crystal, Patsy Kelly, Larry Fine, Don Knotts, Ernie Kovaks, Ted Knight, Dave Thomas, Rich Little, Robin Williams, Red Skeleton, Jim Varney, Ma & Pa Kettle, Andy Hardy Phil Silvers, Milton Berle, Ed Wynn and Alan Young and so many more comedians. A look at the style of comedy and so much more...
Billboard
In its 114th year, Billboard remains the world's premier weekly music publication and a diverse digital, events, brand, content and data licensing platform. Billboard publishes the most trusted charts and offers unrivaled reporting about the latest music, video, gaming, media, digital and mobile entertainment issues and trends.
Country Music's Most Wanted
Pick and grin with fun country music trivia
Murder in Pleasant Grove
Murder has been committed in Pleasant Grove, VA, a typical bedroom community, where middle class working Americans have fled to escape the problems and crime of city life.The victim - a young wife and mother of two.The only suspect - a homeless person seen fleeing the area.This is a story of what happens when two different worlds collide and there is Murder in Pleasant Grove.
The English Reports: King's Bench Division
V. 1-11. House of Lords (1677-1865) -- v. 12-20. Privy Council (including Indian Appeals) (1809-1865) -- v. 21-47. Chancery (including Collateral reports) (1557-1865) -- v. 48-55. Rolls Court (1829-1865) -- v. 56-71. Vice-Chancellors' Courts (1815-1865) -- v. 72-122. King's Bench (1378-1865) -- v. 123-144. Common Pleas (1486-1865) -- v. 145-160. Exchequer (1220-1865) -- v. 161-167. Ecclesiastical (1752-1857), Admiralty (1776-1840), and Probate and Divorce (1858-1865) -- v. 168-169. Crown Cases (1743-1865) -- v. 170-176. Nisi Prius (1688-1867).
Machine and Deep Learning in Oncology, Medical Physics and Radiology
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
