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Gay Bar
'Brilliantly written and incisive' Colm Tibn 'An absolute tour de force' Maggie Nelson From leather parties in the Castro to Gay Liberation Front touch-ins; from disco at Studio One to dark rooms in Vauxhall railway arches, the gay bar has long been a place of joy, solidarity and sexual expression. But around the world, gay bars are closing. In the wake of this cultural demolition, Jeremy Atherton Lin rediscovers the party boys and renegades who lived and loved in these spaces. Gay Bar is a sparkling, richly individual history of enclaves in London, San Francisco and Los Angeles. It is also the story of the author s own experiences as a mixed-race gay man, and the transatlantic romance that began one restless night in Soho. Expansive, vivacious, curious, celebratory, Gay Bar asks: where shall we go tonight?
Did Lin Zexu Make Morphine? Volumes 1 and 2
Soon to be banned in Beijing, this work suggests that Lin Zexu, often called the first modern Chinese nationalist, popular icon for present-day prohibitionists, who legend says caused the first Opium War (1839-1842) by destroying some 20,000 chests of British opium, may deserve a second look from historians. His method of using lime and salt to "destroy" the opium simply shares too many parallels with European methods for extracting morphine from opium. Morphine salts were sold in both China and Europe in the 19th century as substitutes for opium or as opium "cures". Could the mandarin Lin Zexu have stolen from the British, conned the Americans, hastened the downfall of the parasitical Manchu dynasty, and manufactured a simple morphine salt? -- Graffii Milante, Valpaaiso, Chile --from book cover.
Jeremy Lin
Harvard graduate Jeremy Lin recently became a New York Knicks phenomenon and he's the NBA's first American-born player of Taiwanese descent. The book will chronicle Lin's high school, college and early career in the NBA with particular emphasis on the media explosion surrounding his success as starting point guard with the Knicks. It will explore how Jeremy's Christian faith, family, education and cultural inheritance have contributed to his success. The book will also include interviews with basketball experts on Jeremy's future in the NBA, Asian-American thought leaders on the role of race in Jeremy's rise to stardom, and renowned Christian athletes and pastors on the potent combination of faith and sports.
Bioactive Conformation II
This series presents critical reviews of the present position and future trends in modern chemical research. It contains short and concise reports on chemistry, each written by the world renowned experts. The volume is still valid and useful after five or ten years. More information, as well as the electronic version of the whole content, is available at: springerlink.com.
Intelligent Mobile Service Computing
This book discusses recent research and applications in intelligent service computing in mobile environments. The authors first explain how advances in artificial intelligence and big data have allowed for an array of intelligent services with complex and diverse applications. They then show how this brings new opportunities and challenges for service computing. The book, made up of contributions from academic and industry, aims to present advances in intelligent services, new algorithms and techniques in the field, foundational theory and systems, as well as practical real-life applications. Some of the topics discussed include cognition, modeling, description and verification for intelligent services; discovery, recommendation and selection for intelligent services; formal verification, testing and inspection for intelligent services; and composition and cooperation methods for intelligent services.
Accelerator Programming Using Directives
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Accelerator Programming Using Directives, WACCPD 2018, held in Dallas, TX, USA, in November 2018. The 6 full papers presented have been carefully reviewed and selected from 12 submissions. The papers share knowledge and experiences to program emerging complex parallel computing systems. They are organized in the following three sections: applications; using openMP; and program evaluation.
Electricity Markets
A comprehensive resource that provides the basic concepts of electric power systems, microeconomics, and optimization techniques Electricity Markets: Theories and Applications offers students and practitioners a clear understanding of the fundamental concepts of the economic theories, particularly microeconomic theories, as well as information on some advanced optimization methods of electricity markets. The authors—noted experts in the field—cover the basic drivers for the transformation of the electricity industry in both the United States and around the world and discuss the fundamentals of power system operation, electricity market design and structures, and electricity market operat...
Pattern Recognition and Computer Vision
The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.
Data Abstraction and Pattern Identification in Time-series Data
Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. Large data sets can be handled using data abstraction techniques by transforming the raw data into a simpler format while, at the same time, preserving significant features that are important for the user. When dealing with time-series data, abstraction techniques should also take into account the underl...
