This study explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major 19th century theories, and argues for a reappraisal of George Eliot's complex understanding of the dialects of memory and history - an understanding that both integrates and transcends the positivist and the romantic historical approaches of her time.

This book first develops a framework to understand the curriculum administration system in China. It describes the historical process of localizing school-based curricula as well as the significance and positioning of school-based curricula, and presents in detail cases of how three types of school-based curriculum were developed and implemented in Chinese schools. The book outlines for the first time best practices in school-based curriculum development in China, i.e. how to make a holistic curriculum plan, how to design a curriculum, and how to develop a course in the context of a school-based curriculum. By discussing these three aspects, it clearly summarizes the strategies and technologies for school-based curriculum development, which are applicable across contexts. Although the concept originated outside China, school-based curriculum development in China differs from that in other countries both in theory and practice. This book equips readers with theoretical and practical knowledge of how to develop school-based curricula and how to generate experiences for new curriculum development. This timely book is a valuable resource for researchers, curriculum designers, school teachers and others who are interested in school-based curriculum development.

This book takes a comprehensive look at the governance and civil society of Macao, the shadowy mecca of gambling in Asia, and the reforms, changes, and social movements which are challenging that reputation today. Thanks to the rapid expansion of the local casino industry, Macao has experienced spectacular economic growth since it returned to Chinese rule in 1999. Following double-digit rates of economic growth between 2002 and 2013, Macao has become one of the wealthiest regions in Asia, with GDP per capita rising from USD$14,258 in 2001 to USD$89,333 in 2014. However, as the casino industry has overshadowed all other sectors of the local economy, it has not only made Macao's economy highly vulnerable and difficult to sustain, but has also aroused increasing social discontent. The authors lay out a comprehensive and well-argued discussion of the dilemma of the economic monoculture, and strategies by which to overcome it, in the process producing a book that will be of profound interest to scholars of greater China, students of political economy, and travelers to Macao.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communa,l and national memories. Hao Li offers a series of critical readings informed by 19th century theories and argues for a reappraisal of George Eliot's complex understanding of the dialectics of memory and history, an understanding that both integrates and transcends the positivist and the romantic-historical approaches of her time.

Traditional Chinese Medicine has played an important role in the treatment of COVID-19 in China. As the first batch of national Chinese medicine team in China, the authors shared their experience of treating severe COVID-19 cases with TCM at Jinyintan Hospital in Wuhan, the epicenter of the outbreak in China. Twenty severe cases have been selected and reported in this book. The medical history, inspection results and treatment rationales have been described in detail, adequately illustrated with color pictures of the tongues.The book is organized as follows: The etiology and pathogenesis from TCM perspectives are comprehensively discussed in the introduction. Part I includes various theories of different experts. Part II presents reports of the clinical cases one by one.

This Element introduces the exotic wave phenomena arising from the extremely small optical refractive index, and sheds light on the underlying mechanisms, with a primary focus on the basic concepts and fundamental wave physics. The authors reveal the exciting applications of ENZ metamaterials, which have profound impacts over a wide range of fields of science and technology. The sections are organized as follows: in Section 2, the authors demonstrate the extraordinary wave properties in ENZ metamaterials, analyzing the unique wave dynamics and the resulting effects. Section 3 is dedicated to introducing various realization methods of the ENZ metamaterials with periodic and non-periodic styles. The applications of ENZ metamaterials are discussed in Sections 4 and 5, from the perspectives of microwave engineering, optics, and quantum physics. The authors close in Section 6 by presenting an outlook on the development of ENZ metamaterials and discussing the key challenges addressed in future works.

Triply Periodic Minimal Surface Lattices by Selective Laser Melting Additive Manufacturing presents the design, manufacturing, microstructure, mechanical properties and applications of TPMS structures fabricated by selective laser additive manufacturing technology. The title explains these complex and useful structures based on systematic work in the UK and China. Sections introduce structure design methods, assess TPMS structures, explain mathematical their modeling, present the manufacturing, microstructure, mechanical and fatigue properties of metal uniform TPMS structures, discuss manufacturing and mechanical responses for functionally graded TPMS structures, give numerical analysis methods for predicting the mechanics of uniform and functionally graded TPMS structures, and more.

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.

This book takes a comprehensive look at the governance and civil society of Macao, the shadowy mecca of gambling in Asia, and the reforms, changes, and social movements which are challenging that reputation today. Thanks to the rapid expansion of the local casino industry, Macao has experienced spectacular economic growth since it returned to Chinese rule in 1999. Following double-digit rates of economic growth between 2002 and 2013, Macao has become one of the wealthiest regions in Asia, with GDP per capita rising from USD$14,258 in 2001 to USD$89,333 in 2014. However, as the casino industry has overshadowed all other sectors of the local economy, it has not only made Macao's economy highly vulnerable and difficult to sustain, but has also aroused increasing social discontent. The authors lay out a comprehensive and well-argued discussion of the dilemma of the economic monoculture, and strategies by which to overcome it, in the process producing a book that will be of profound interest to scholars of greater China, students of political economy, and travelers to Macao.

Comprehensive resource covering concepts, perspectives, and skills required to understand the preparation, nonlinear optics, and applications of two-dimensional (2D) materials Bringing together many interdisciplinary experts in the field of 2D materials with their applications in nonlinear optics, Two-Dimensional Materials for Nonlinear Optics covers preparation methods for various novel 2D materials, such as transition metal dichalcogenides (TMDs) and single elemental 2D materials, excited-state dynamics of 2D materials behind their outstanding performance in photonic devices, instrumentation for exploring the photoinduced excited-state dynamics of the 2D materials spanning a wide time scale from ultrafast to slow, and future trends of 2D materials on a series of issues like fabrications, dynamic investigations, and photonic/optoelectronic applications. Powerful nonlinear optical characterization techniques, such as Z-scan measurement, femtosecond transient absorption spectroscopy, and microscopy are also introduced. Edited by two highly qualified academics with extensive experience in the field, Two-Dimensional Materials for Nonlinear Optics covers sample topics such as: Foundational knowledge on nonlinear optical properties, and fundamentals and preparation methods of 2D materials with nonlinear optical properties Modulation and enhancement of optical nonlinearity in 2D materials, and nonlinear optical characterization techniques for 2D materials and their applications in a specific field Novel nonlinear optical imaging systems, ultrafast time-resolved spectroscopy for investigating carrier dynamics in emerging 2D materials, and transient terahertz spectroscopy 2D materials for optical limiting, saturable absorber, second and third harmonic generation, nanolasers, and space use With collective insight from researchers in many different interdisciplinary fields, Two-Dimensional Materials for Nonlinear Optics is an essential resource for materials scientists, solid state chemists and physicists, photochemists, and professionals in the semiconductor industry who are interested in understanding the state of the art in the field.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major nineteenth-century theories and argues for a reappraisal of George Eliot's complex understanding of the dialects of memory and history, an understanding that both integrates and transcends the positivist and the romantic-historical approaches of her time.