Xin Huang – författare

Shows that the feminist interventions of the Mao era (1949–1976) continue to influence contemporary Chinese women.This book traces how the legacy of the Maoist gender project is experienced or contested by particular Chinese women, remembered or forgotten in their lives, and highlighted or buried in their narratives. Xin Huang examines four women's life stories: an urban woman who lived through the Mao era (1949–1976), a rural migrant worker, a lesbian artist who has close connections with transnational queer networks, and an urban woman who has lived abroad. The individual narratives are paired with analysis of the historical and social contexts in which each woman lives. Huang focuses on the shifting relationship between gender and class, fashion and shame in the Mao and post-Mao eras, queer desire and artwork, and contemporary transnational encounters. By rethinking the historical significance and contemporary relevance of one of the twentieth century's major feminist interventions-socialist and Marxist women's liberation during the Mao years-The Gender Legacy of the Mao Era provides insight into current struggles over gender equality in China and around the world.

Shows that the feminist interventions of the Mao era (1949–1976) continue to influence contemporary Chinese women.This book traces how the legacy of the Maoist gender project is experienced or contested by particular Chinese women, remembered or forgotten in their lives, and highlighted or buried in their narratives. Xin Huang examines four women's life stories: an urban woman who lived through the Mao era (1949–1976), a rural migrant worker, a lesbian artist who has close connections with transnational queer networks, and an urban woman who has lived abroad. The individual narratives are paired with analysis of the historical and social contexts in which each woman lives. Huang focuses on the shifting relationship between gender and class, fashion and shame in the Mao and post-Mao eras, queer desire and artwork, and contemporary transnational encounters. By rethinking the historical significance and contemporary relevance of one of the twentieth century's major feminist interventions-socialist and Marxist women's liberation during the Mao years-The Gender Legacy of the Mao Era provides insight into current struggles over gender equality in China and around the world.

The Critical State Framework for Soil Behaviour: New insight from DEM Simulations presents the latest on a topic that was originally proposed by Schofield and Wroth in the 1960s, and has subsequently proven to be a very good framework to describe sand behavior. This framework uses the critical state, the void ratio and stress level attained by a soil at large shear deformations, as a reference state. The particulate discrete element method (DEM) allows the fundamental basis of the critical state to be examined in detail. Using DEM simulations, this book considers the sensitivity of the critical state to particle scale parameters (friction) and overall conditions (3D stress state), also linking between overall behavior and particle scale mechanics. The simulation data is then analyzed to better understand the fundamental mechanisms.

This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong Kong, China, in November 2019. Due to the problems/protests in Hong Kong, WISE 2019 was postponed from November 26-30, 2019 until January 19-22, 2020.

Specifically, we discuss cohesive community search, attributed community search, social circle discovery, and geo-social group search.

The book may benefit researchers and scientists from the academic fields of tunneling and underground structure engineering as well as practical engineers from the industry.Each of the papers included in this book received at least two positive peer reviews.

The book may benefit researchers and scientists from the academic fields of tunneling and underground structure engineering as well as practical engineers from the industry.Each of the papers included in this book received at least two positive peer reviews.

This book constitutes the refereed proceedings, presented on the 20th International Conference on Web Information Systems Engineering, WISE 2019 and on The International Workshop on Web Information Systems in the Era of AI, held in Hong Kong and Macau, China.

The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition.Astronomical study starts with imaging from recorded raw data, followed by image processing, such as image reconstruction, inpainting and generation, to enhance imaging quality. We study deep learning for solar image processing. First, image deconvolution is investigated for synthesis aperture imaging. Second, image inpainting is explored to repair over-saturated solar image due to light intensity beyond threshold of optical lens. Third, image translation among UV/EUV observation of the chromosphere/corona, Ha observation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LSTM, is exploited to forecast solar burst and solar activity indices.This book presents a comprehensive overview of the deep learning applications in solar astronomy. It is suitable for the students and young researchers who are major in astronomy and computer science, especially interdisciplinary research of them.

This book is composed of eight chapters, introducing the authors’ research and application achievements in the hazard-causing system and disaster evaluation of water and mud inrush in tunnels over the past 10 years. Through a large number of case studies and analysis, and on the basis of existing research, this book puts forward 3 categories and 11 types of tunnel water and mud inrush hazard-causing systems and 4 typical water and mud inrush disaster-forming modes. The authors carefully study the typical cases of tunnel water and mud inrush hazard-causing system, discuss the types of karst water system, structural characteristics, macro-geological identification, engineering identification, karst tunnel route selection principles and evaluation methods in detail, and then develop a dynamic evaluation method of tunnel water and mud inrush construction risk interval and an evaluation method for the resistance body. Ultimately, the authors put forward a systematic identification methodof tunnel water and mud inrush disaster, which integrates geological identification, geophysical exploration identification, and drilling identification, and construct a dynamic management and analysis platform for tunnel water and mud inrush cases.This book is used as a reference book for teachers, graduate students, and undergraduates in colleges and universities of civil engineering, transportation, water conservancy and hydropower, mining, geology, etc., and also as a reference for technicians in related engineering fields.

This book is composed of eight chapters, introducing the authors’ research and application achievements in the hazard-causing system and disaster evaluation of water and mud inrush in tunnels over the past 10 years. Through a large number of case studies and analysis, and on the basis of existing research, this book puts forward 3 categories and 11 types of tunnel water and mud inrush hazard-causing systems and 4 typical water and mud inrush disaster-forming modes. The authors carefully study the typical cases of tunnel water and mud inrush hazard-causing system, discuss the types of karst water system, structural characteristics, macro-geological identification, engineering identification, karst tunnel route selection principles and evaluation methods in detail, and then develop a dynamic evaluation method of tunnel water and mud inrush construction risk interval and an evaluation method for the resistance body. Ultimately, the authors put forward a systematic identification methodof tunnel water and mud inrush disaster, which integrates geological identification, geophysical exploration identification, and drilling identification, and construct a dynamic management and analysis platform for tunnel water and mud inrush cases.This book is used as a reference book for teachers, graduate students, and undergraduates in colleges and universities of civil engineering, transportation, water conservancy and hydropower, mining, geology, etc., and also as a reference for technicians in related engineering fields.

The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting people's lives and property.