Rong Chen – författare

Alkaline Fuel Cells: Fundamentals, Design, and Applications bridges the gap between fundamental knowledge and the practical skills needed to address real-world challenges in alkaline fuel cells. The book provides readers with the essential information needed to understand, design, and implement efficient low-temperature and high-temperature alkaline fuel cell systems. Sections introduce alkaline fuel cells, with a discussion on mass transport phenomena. Subsequent chapters delve into the mechanisms, classification, design, and challenges of alkaline hydrogen oxidation reaction catalysts and alkaline oxygen reduction reaction catalysts. The book also covers the synthesis, properties, and perspectives of anion exchange membranes for alkaline fuel cells.Further, it addresses cell design and stack engineering, performance testing and characterization techniques, and advanced theoretical modeling of alkaline fuel cells. It also explores liquid fuels and their applications in transportation and beyond. The book concludes with a global overview of market dynamics, the impact and future opportunities of government policies, and future perspectives.Explores the unique characteristics and recent advancements in alkaline fuel cells, providing a comprehensive understanding of their principles, materials, and operationDiscusses efficient catalysts for alkaline fuel cells, covering electrode fabrication and characterization and explaining cell design, stack assembly, and integrationEvaluates strategies for enhancing alkaline fuel cell efficiency and stability through electrocatalyst design, electrode materials, and system configuration, providing practical insights into performance optimizationDiscusses low-temperature alkaline fuel cells, such as those used in space missions, and high-temperature alkaline fuel cell like solid oxide fuel cells

Politeness in Chinese is a well-researched concept in pragmatics; however, this pioneering book sheds an original new light on the subject. It provides a thorough diachronic investigation of Chinese politeness, and argues for universality in politeness theorizing. The author takes us on a journey through changes in Chinese politeness from Confucius to the present day, showing how these processes are reactions to the changing world, rather than to changes in the principles of politeness itself. He splits Chinese face into Face1 and Face2 - the former referring to the person and the latter to the persona of the speaker - and presents a model of Chinese politeness (MCP). He then proposes B&L-E (Brown and Levinson Extended) by incorporating the theoretical constructs of self-politeness and impoliteness. This title is part of the Flip it Open Programme and may also be available Open Access. Check our website Cambridge Core for details.

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysisNonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonlinear time series analysis. The authors—noted experts in the field—explore the advantages and limitations of the nonlinear models and methods and review the improvements upon linear time series models.The need for this book is based on the recent developments in nonlinear time series analysis, statistical learning, dynamic systems and advanced computational methods. Parametric and nonparametric methods and nonlinear and non-Gaussian state space models provide a much wider range of tools for time series analysis. In addition, advances in computing and data collection have made available large data sets and high-frequency data. These new data make it not only feasible, but also necessary to take into consideration the nonlinearity embedded in most real-world time series. This vital guide:•    Offers research developed by leading scholars of time series analysis•    Presents R commands making it possible to reproduce all the analyses included in the text•    Contains real-world examples throughout the book•    Recommends exercises to test understanding of material presented•    Includes an instructor solutions manual and companion websiteWritten for students, researchers, and practitioners who are interested in exploring nonlinearity in time series, Nonlinear Time Series Analysis offers a comprehensive text that explores the advantages and limitations of the nonlinear models and methods and demonstrates the improvements upon linear time series models.

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis

Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonlinear time series analysis. The authors—noted experts in the field—explore the advantages and limitations of the nonlinear models and methods and review the improvements upon linear time series models.

The need for this book is based on the recent developments in nonlinear time series analysis, statistical learning, dynamic systems and advanced computational methods. Parametric and nonparametric methods and nonlinear and non-Gaussian state space models provide a much wider range of tools for time series analysis. In addition, advances in computing and data collection have made available large data sets and high-frequency data. These new data make it not only feasible, but also necessary to take into consideration the nonlinearity embedded in most real-world time series. This vital guide:

•    Offers research developed by leading scholars of time series analysis

•    Presents R commands making it possible to reproduce all the analyses included in the text

•    Contains real-world examples throughout the book

•    Recommends exercises to test understanding of material presented

•    Includes an instructor solutions manual and companion website

Written for students, researchers, and practitioners who are interested in exploring nonlinearity in time series, Nonlinear Time Series Analysis offers a comprehensive text that explores the advantages and limitations of the nonlinear models and methods and demonstrates the improvements upon linear time series models. 

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis

Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonlinear time series analysis. The authors—noted experts in the field—explore the advantages and limitations of the nonlinear models and methods and review the improvements upon linear time series models.

The need for this book is based on the recent developments in nonlinear time series analysis, statistical learning, dynamic systems and advanced computational methods. Parametric and nonparametric methods and nonlinear and non-Gaussian state space models provide a much wider range of tools for time series analysis. In addition, advances in computing and data collection have made available large data sets and high-frequency data. These new data make it not only feasible, but also necessary to take into consideration the nonlinearity embedded in most real-world time series. This vital guide:

•    Offers research developed by leading scholars of time series analysis

•    Presents R commands making it possible to reproduce all the analyses included in the text

•    Contains real-world examples throughout the book

•    Recommends exercises to test understanding of material presented

•    Includes an instructor solutions manual and companion website

Written for students, researchers, and practitioners who are interested in exploring nonlinearity in time series, Nonlinear Time Series Analysis offers a comprehensive text that explores the advantages and limitations of the nonlinear models and methods and demonstrates the improvements upon linear time series models. 

The book includes an introduction to flow cells, proton exchange membrane fuel cells, photocatalytic fuel cells, organic flow batteries, redox flow batteries, microfluidic flow cells, as well as electrolysis cells for CO2 and nitrogen reduction.

This book is a state-of-the-art review on recent advances in flow cells for electrochemical energy systems. The book includes an introduction to flow cells, proton exchange membrane fuel cells, photocatalytic fuel cells, organic flow batteries, redox flow batteries, microfluidic flow cells, as well as electrolysis cells for CO2 and nitrogen reduction. The book provides an essential reference for professors, researchers, and policymakers globally in academia, industry, and government.

The book includes an introduction to flow cells, proton exchange membrane fuel cells, photocatalytic fuel cells, organic flow batteries, redox flow batteries, microfluidic flow cells, as well as electrolysis cells for CO2 and nitrogen reduction.

The book provides an account of English inversion, a construction that displays perplexing idiosyncrasies at the level of semantics, phonology, syntax, and pragmatics. Basing his central argument on the claim that inversion is a linguistic representation of a Ground-before-Figure model, the author develops an elegant solution to a hitherto unsolved multidimensional linguistic puzzle and, in the process, supports the theoretical position that a cognitive approach best suits the multidimensionality of language itself. Engagingly written, the book will appeal to linguists of all persuasions and to any reader curious about the relationship between language and cognition.

With the “discursive turn” has come a distrust – a complete rejection by some – of theories that seek deeper reasons for surface phenomena. Rong Chen argues that this distrust, with its accompanying overemphasis on specificity and fluidity of linguistic meaning and social values, is unwarranted and unhelpful. Drawing on insights from social theories and various strands of pragmatics, he proposes a motivation model of pragmatics (MMP), contending that language use can be adequately, coherently, and elegantly studied via the motivation behind it in its varied and dynamic contexts. The model, with its well-laid out components, is then applied to (im)politeness research, cross-cultural pragmatics, diachronic pragmatics, discourse and genre analysis, conversation analysis, identity construction, and the study of metaphor, sarcasm, parody, and lying. MMP is thus a framework aimed at accounting for fluidity with stable notions, specificity with general principles, and differences with similar underlying factors. As such, the book should appeal to students of pragmatics, (im)politeness, conversation analysis, sociolinguistics, applied linguistics, communication, sociology, and psychology.

With the “discursive turn” has come a distrust – a complete rejection by some – of theories that seek deeper reasons for surface phenomena. Rong Chen argues that this distrust, with its accompanying overemphasis on specificity and fluidity of linguistic meaning and social values, is unwarranted and unhelpful. Drawing on insights from social theories and various strands of pragmatics, he proposes a motivation model of pragmatics (MMP), contending that language use can be adequately, coherently, and elegantly studied via the motivation behind it in its varied and dynamic contexts. The model, with its well-laid out components, is then applied to (im)politeness research, cross-cultural pragmatics, diachronic pragmatics, discourse and genre analysis, conversation analysis, identity construction, and the study of metaphor, sarcasm, parody, and lying. MMP is thus a framework aimed at accounting for fluidity with stable notions, specificity with general principles, and differences with similar underlying factors. As such, the book should appeal to students of pragmatics, (im)politeness, conversation analysis, sociolinguistics, applied linguistics, communication, sociology, and psychology.

With the “discursive turn” has come a distrust – a complete rejection by some – of theories that seek deeper reasons for surface phenomena. Rong Chen argues that this distrust, with its accompanying overemphasis on specificity and fluidity of linguistic meaning and social values, is unwarranted and unhelpful. Drawing on insights from social theories and various strands of pragmatics, he proposes a motivation model of pragmatics (MMP), contending that language use can be adequately, coherently, and elegantly studied via the motivation behind it in its varied and dynamic contexts. The model, with its well-laid out components, is then applied to (im)politeness research, cross-cultural pragmatics, diachronic pragmatics, discourse and genre analysis, conversation analysis, identity construction, and the study of metaphor, sarcasm, parody, and lying. MMP is thus a framework aimed at accounting for fluidity with stable notions, specificity with general principles, and differences with similar underlying factors. As such, the book should appeal to students of pragmatics, (im)politeness, conversation analysis, sociolinguistics, applied linguistics, communication, sociology, and psychology.

The book provides an account of English inversion, a construction that displays perplexing idiosyncrasies at the level of semantics, phonology, syntax, and pragmatics. Basing his central argument on the claim that inversion is a linguistic representation of a Ground-before-Figure model, the author develops an elegant solution to a hitherto unsolved multidimensional linguistic puzzle and, in the process, supports the theoretical position that a cognitive approach best suits the multidimensionality of language itself. Engagingly written, the book will appeal to linguists of all persuasions and to any reader curious about the relationship between language and cognition.