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Building for Oil
Daqing and the Formation of the Chinese Socialist State
Hou Li
Harvard University Press, 2018

Building for Oil is a historical account of the development of the oil town of Daqing in northeastern China during the formative years of the People’s Republic, describing Daqing’s rise and fall as a national model city. Daqing oil field was the most profitable state-owned enterprise and the single largest source of state revenue for almost three decades, from the 1950s through the early 1980s. The book traces the roots and maturation of the Chinese socialist state and its early industrialization and modernization policies during a time of unprecedented economic growth.

The metamorphosis of Daqing’s physical landscape in many ways exemplified the major challenges and changes taking place in Chinese state and society. Through detailed, often personal descriptions of the process of planning and building Daqing, the book illuminates the politics between party leaders and elite ministerial cadres and examines the diverse interests, conflicts, tensions, functions, and dysfunctions of state institutions and individuals. Building for Oil records the rise of the “Petroleum Group” in the central government while simultaneously revealing the everyday stories and struggles of the working men and women who inhabited China’s industrializing landscape—their beliefs, frustrations, and pursuit of a decent life.

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logo for Harvard University Press
Building for Oil
Daqing and the Formation of the Chinese Socialist State
Hou Li
Harvard University Press

Building for Oil is a historical account of the development of the oil town of Daqing in northeastern China during the formative years of the People’s Republic, describing Daqing’s rise and fall as a national model city. Daqing oil field was the most profitable state-owned enterprise and the single largest source of state revenue for almost three decades, from the 1950s through the early 1980s. The book traces the roots and maturation of the Chinese socialist state and its early industrialization and modernization policies during a time of unprecedented economic growth.

The metamorphosis of Daqing’s physical landscape in many ways exemplified the major challenges and changes taking place in Chinese state and society. Through detailed, often personal descriptions of the process of planning and building Daqing, the book illuminates the politics between party leaders and elite ministerial cadres and examines the diverse interests, conflicts, tensions, functions, and dysfunctions of state institutions and individuals. Building for Oil records the rise of the “Petroleum Group” in the central government while simultaneously revealing the everyday stories and struggles of the working men and women who inhabited China’s industrializing landscape—their beliefs, frustrations, and pursuit of a decent life.

[more]

front cover of Machine Learning in Medical Imaging and Computer Vision
Machine Learning in Medical Imaging and Computer Vision
Amita Nandal
The Institution of Engineering and Technology, 2024
Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With machine learning techniques becoming more prevalent in healthcare, algorithms can be trained to identify healthy or unhealthy tissues and quickly differentiate between the two. Statistical models can be used to process numerous images of the same type in a fraction of the time it would take a human to assess the same quantity, saving time and money in aiding practitioners in their assessment.
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