Qiang Ren – författare

The true measure of any society is how it treats its children, who are in turn that society’s future. Making use of data from the longitudinal Chinese Family Panel Studies survey, the authors of this timely study provide a multi-faceted description and analysis of China’s younger generations. They assess the economic, physical, and social-emotional well-being as well as the cognitive performance and educational attainment of China''s children and youth. They pay special attention to the significance of family and community contexts, including the impact of parental absence on millions of left-behind children.

Throughout the volume, the authors delineate various forms of disparities, especially the structural inequalities maintained by the Chinese Party-state and the vulnerabilities of children and youth in fragile families and communities. They also analyze the social attitudes and values of Chinese youth. Having grown up in a period of sustained prosperity and greater individual choice, the younger Chinese cohorts are more independent in spirit, more open-minded socially, and significantly less deferential to authority than older cohorts.

There is growing recognition in China of the importance of investing in children’s future and of helping the less advantaged. Substantial improvements in child and youth well-being have been achieved in a time of growing economic prosperity. Strong political commitment is needed to sustain existing efforts and to overcome the many obstacles that remain. This book will be of considerable interest to researchers of Chinese society and development.

The true measure of any society is how it treats its children, who are in turn that society’s future. Making use of data from the longitudinal Chinese Family Panel Studies survey, the authors of this timely study provide a multi-faceted description and analysis of China’s younger generations. They assess the economic, physical, and social-emotional well-being as well as the cognitive performance and educational attainment of China''s children and youth. They pay special attention to the significance of family and community contexts, including the impact of parental absence on millions of left-behind children.

Throughout the volume, the authors delineate various forms of disparities, especially the structural inequalities maintained by the Chinese Party-state and the vulnerabilities of children and youth in fragile families and communities. They also analyze the social attitudes and values of Chinese youth. Having grown up in a period of sustained prosperity and greater individual choice, the younger Chinese cohorts are more independent in spirit, more open-minded socially, and significantly less deferential to authority than older cohorts.

There is growing recognition in China of the importance of investing in children’s future and of helping the less advantaged. Substantial improvements in child and youth well-being have been achieved in a time of growing economic prosperity. Strong political commitment is needed to sustain existing efforts and to overcome the many obstacles that remain. This book will be of considerable interest to researchers of Chinese society and development.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced.

As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced.

As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms

Advances in Time-Domain Computational Electromagnetic Methods delivers a thorough exploration of recent developments in time domain computational methods for solving complex electromagnetic problems. The book discusses the main time domain computational electromagnetics techniques, including finite-difference time domain (FDTD), finite-element time domain (FETD), discontinuous Galerkin time domain (DGTD), time domain integral equation (TDIE), and other methods in electromagnetic, multiphysics modeling and simulation, and antenna designs.

The book bridges the gap between academic research and real engineering applications by comprehensively surveying the full picture of current state-of-the-art time domain electromagnetic simulation techniques. Among other topics, it offers readers discussions of automatic load balancing schemes for DG-FETD/SETD methods and convolution quadrature time domain integral equation methods for electromagnetic scattering.

Advances in Time-Domain Computational Electromagnetic Methods also includes:

Ideal for undergraduate and graduate students studying the design and development of various kinds of communication systems, as well as professionals working in these fields, Advances in Time-Domain Computational Electromagnetic Methods is also an invaluable resource for those taking advanced graduate courses in computational electromagnetic methods and simulation techniques.

Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms

Advances in Time-Domain Computational Electromagnetic Methods delivers a thorough exploration of recent developments in time domain computational methods for solving complex electromagnetic problems. The book discusses the main time domain computational electromagnetics techniques, including finite-difference time domain (FDTD), finite-element time domain (FETD), discontinuous Galerkin time domain (DGTD), time domain integral equation (TDIE), and other methods in electromagnetic, multiphysics modeling and simulation, and antenna designs.

The book bridges the gap between academic research and real engineering applications by comprehensively surveying the full picture of current state-of-the-art time domain electromagnetic simulation techniques. Among other topics, it offers readers discussions of automatic load balancing schemes for DG-FETD/SETD methods and convolution quadrature time domain integral equation methods for electromagnetic scattering.

Advances in Time-Domain Computational Electromagnetic Methods also includes:

Ideal for undergraduate and graduate students studying the design and development of various kinds of communication systems, as well as professionals working in these fields, Advances in Time-Domain Computational Electromagnetic Methods is also an invaluable resource for those taking advanced graduate courses in computational electromagnetic methods and simulation techniques.

China’s concentrated HIV epidemic is on the brink of becoming a generalized one and syphilis infection has become a major public health threat. Social factors relating to gender and gender inequality exacerbate the spread of HIV and sexually transmitted infections (STI) in China. A better understanding of the proximate social determinants of HIV related to gender will be crucial to effectively curbing HIV and other STIs in China. Aspects of China’s governance - including administrative procedures, the developing legal system, social institutions, and the public health infrastructure – are instrumental in shaping strategies and responses to HIV. International studies suggest that women who are more economically and socially vulnerable may also have a greater risk of HIV infection, yet few initiatives have focused on discrete areas where achievable and sustainable gender policy measures could be linked to the public health response. This study presents perspectives ranging from criminology to social psychology to better understand how gender perspectives can inform HIV policy in the context of China.