Set against a backdrop of the decades that included the Cultural Revolution and the Tian'anmen Square Incident, A Private Life portrays the effect of that social change and political turbulence on the protagonists inner life as she moves from childhood to early maturity.
The first English-language anthology of its kind, Red Is Not the Only Color offers a window into the uncharted terrain of intimate relations between Chinese women. As urban China has undergone rapid transformation, same-sex relations have emerged as a significant, if previously neglected, touchstone for the exploration of the meaning of social change. The short fiction in this volume highlights tensions between tradition and modernization, family and state, art and commerce, love and sex. These stories introduce an emerging generation of acclaimed, and at times controversial, women writers, including Chen Ran, Bikwan Wong, and Chen Xue. By presenting fiction from the PRC, Hong Kong, and Taiwan, the collection deliberately maps the literary contours of same-sex intimacy in broadly cultural rather than purely political terms. The perceptive and informative introduction surveys the social evolution of female same-sex intimacy in twentieth-century China, examines how each author engages with her Chinese context, and discusses how the stories compare with earlier representations of Chinese same-sex intimacy in the United States. Compelling for its literary quality, the anthology will also spur reflection among scholars of modern Chinese literature as well as readers interested in questions of gender, sexuality, and cross-cultural representation.
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics.
In the 1950s, the residents of the southwestern coastal areas of Taiwan suffered greatly from Blackfoot disease (BFD) due to the consumption of arsenic-contaminated groundwater. Groundwater with high levels of arsenic in southwestern and northeastern Taiwan received much attention. After arsenic-safe tap water was utilized for drinking instead of groundwater in the 1970s, BFD cases decreased greatly. After 1990, no new BFD cases were reported, and as a consequence, BFD problems disregarded. However, arsenic is still present in the groundwater. This book will improve the knowledge and understanding of the occurrence and genesis of arsenic-rich groundwaters in Taiwan. It deals with constraints on the mobility of arsenic in groundwater, its uptake from soil and water by plants, arsenic-propagation through the food chain, human health impacts, and arsenic-removal technologies. Taiwan case experiences are described in this book and can be applied worldwide. This book is a state-of-the-art overview of research on arsenic in Taiwan and is designed to: create interest in regions within Taiwan that are affected by the presence of arseniferous aquifers; draw attention from the international scientific community; increase awareness among researchers, administrators, policy makers, and company executives; improve the international cooperation on arsenic problems worldwide.
This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.
Once, she was a proud daughter of heaven that everyone looked up to. She was jailed for a conspiracy! Become a prisoner!A few years later, she returned with hatred in her heart, thinking of only one thing: I want to kill that man!She had been through tens of thousands of flowers but not a single leaf had touched her body. Countless men had fallen for her.As for that man ... She actually became her number one pursuer?SOME MAN: Wife, it's your birthday tomorrow, so I've chartered a yacht party for you.Qin Ran: No.SOME MAN: Wife, the ml limit has been reached. Would you like to try it?Qin Ran: Scram.Finally, this woman couldn't take it anymore: Gu Lingfeng, are you sick?
Once, she was a proud daughter of heaven that everyone looked up to. She was jailed for a conspiracy! Become a prisoner!A few years later, she returned with hatred in her heart, thinking of only one thing: I want to kill that man!She had been through tens of thousands of flowers but not a single leaf had touched her body. Countless men had fallen for her.As for that man ... She actually became her number one pursuer?SOME MAN: Wife, it's your birthday tomorrow, so I've chartered a yacht party for you.Qin Ran: No.SOME MAN: Wife, the ml limit has been reached. Would you like to try it?Qin Ran: Scram.Finally, this woman couldn't take it anymore: Gu Lingfeng, are you sick?
The mountain village teenager obtained a talisman book and embarked on the road of cultivation. Relying on his strong determination, he subdued the Gui Demon and subdued the Female Ghost, and also obtained rewards in the process of exterminating demons and devils. His cultivation advanced by leaps and bounds, reaching heights that ordinary people would not be able to reach in the short span of a few years. In the end, he even entered a Minor World and obtained a ten-thousand-year treasure. He established his own power and became the number one figure in the Immortal Cultivation World.
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.
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