This autobiographical novella was written in 1980 by one of China's leading dissidents, who was released from jail in late October 1990 again after being imprisoned as a pro-democracy activist in the wake of the Tiananmen incident of spring 1989. Wang recounts three episodes of extreme hardship in his life: incarceration in a Guomindang jail during the 1930s for his communist activism, on the run from Japanese troops during the 1940s in a bleak part of Shandong Province, and imprisonment as a "rightist" in Shanghai during the 1960s cultural revolution. The central theme of the three stories is extreme deprivation and "Hunger".

This autobiographical novella was written in 1980 by one of China's leading dissidents, who was released from jail in late October 1990 again after being imprisoned as a pro-democracy activist in the wake of the Tiananmen incident of spring 1989. Wang recounts three episodes of extreme hardship in his life: incarceration in a Guomindang jail during the 1930s for his communist activism, on the run from Japanese troops during the 1940s in a bleak part of Shandong Province, and imprisonment as a "rightist" in Shanghai during the 1960s cultural revolution. The central theme of the three stories is extreme deprivation and "Hunger".

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.