Computational Intelligence in Protein-Ligand Interaction Analysis presents computational techniques for predicting protein-ligand interactions, recognizing protein interaction sites, and identifying protein drug targets. The book emphasizes novel approaches to protein-ligand interactions, including machine learning and deep learning, presenting a state-of-the-art suite of skills for researchers. The volume represents a resource for scientists, detailing the fundamentals of computational methods, showing how to use computational algorithms to study protein interaction data, and giving scientific explanations for biological data through computational intelligence. Fourteen chapters offer a comprehensive guide to protein interaction data and computational intelligence methods for protein-ligand interactions.

The noise, vibration, and harshness (NVH), also known as noise and vibration (N&V), is a critical feature for customers to assess the performance and quality of vehicles. NVH characteristics are higher among factors that customers use to judge the vehicle's quality.This book sets out to introduce the basic concepts, principles, and applications of the NVH development and refi nement of Battery Electric Vehicles (BEV), Hybrid Electric Vehicles (HEV), and Fuel Cell Electric Vehicles. Each type comes with its own set of challenges.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

This book begins with a historical overview of the evolution of mobile technologies and addresses two key questions: why do we need 6G? and what will 6G be? The remaining chapters of this book are organized into three parts: Part I covers the foundation of an end-to-end 6G system by presenting 6G vision, driving forces, key performance indicators, and societal requirements on digital inclusion, sustainability, and intelligence. Part II presents key radio technology components for the 6G communications to deliver extreme performance, including new radio access technologies at high frequencies, joint communications and sensing, AI-driven air interface, among others. Part III describes key enablers for intelligent 6G networking, including network disaggregation, edge computing, data-driven management and orchestration, network security and trustworthiness, among others. This book is relevant to researchers, professionals, and academics working in 5G/6G and beyond.

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems; finite automata; labelled Petri nets; and cellular automata. The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology. Academic researchers with backgrounds in applied mathematics, engineering or computer science and practising engineers working with discrete-time and discrete-space systems will find this book a helpful source of new understanding for this increasingly important class of systems. The basic results to be found within are of fundamental importance for further study of related problems such as automated synthesis and safety control in cyber-physical systems using formal methods.

This book aims to present the observation and Interpretation for China’s economic growth since Reform and Opening-up from a Chinese economist’s view. The book is divided into 5 sections, including the research of traditional socialist economic structure, China’s transformation from planned economy to market economy, reform of Chinese industrial economy, economic growth and political economy. The topics cover strategies for economic transformation, dual-track pricing, industrial transformation and enterprise reform, capital formation and economic growth, structural changes and productivity growth, macroeconomics, fiscal relations between central and local governments, and the political economy of growth, which composed key topics during the past 40 years.                        

This book systematically reviews the development of social policy since the establishment of the People's Republic of China. As such, it begins by investigating the establishment of the Insurance System in the early period, then moves on to the planned economy period, the Cultural Revolution period, and the Reform and Opening Up period, characterized by efforts to adapt to a market economy. For each period, the book examines the effect of the economic system, the mode of production and forms of employment for social policy design, so as to clarify the developing context of Chinese social policy, and to help readers grasp the legal aspects of social policy development and the main problems China faces in its present economic developmental stage.

This book summarizes Chinese banks' achievements in global markets and examines the differences between Chinese and foreign banks. It also explores the future roadmap of internationalization and the risks involved in the process, in order to provide reference resource for Chinese banks. Based on the CBII (Chinese Bank Internationalization Index), which was first released in 2015, the book introduces the Banks' Internationalization Index ("BII") and expands the BII by examining two groups of data, including the number of overseas branches, overseas assets and revenue. In addition it analyzes representative Chinese banks' internationalization, using 16 of the Global Systemically Important Banks (G-SIBs) as benchmarks.

Cardiac Gene Expression: Methods and Protocols presents both cutting-edge and established methods for studying cardiac gene expression. The protocols provide a template for solid research, and cover the process through screening, analysis, characterization, and functional confirmation of novel genes or known genes with a new function.
Section I, Cardiac Gene Expression Profiling: The Global Perspective, discusses several different approaches to examining, identifying, and analyzing changes in transcriptome gene expression. Section II, Cardiac Gene Regulation: Gene-Specific mRNA Measurement in the Myocardium, outlines more sensitive and gene-targeted expression methods. Section III, Cardiac Gene Regulation: Promoter Characterization in the Myocardium, provides protocols for the study of underlying gene regulation mechanisms by focusing on the interaction of transcription factors with their cognate cis binding elements. Section IV, In Silico Assessment of Regulatory cis-Elements and Gene Regulation, and Section V, Cardiac Single Network Polymorphisms, emphasize new analytical approaches for deciphering the functional elements buried in the 3 billion nucleotides of the human genome and other model genomes. The concluding section, Gene Overexpression and Targeting in the Myocardium, highlights methods that facilitate overexpression or cardiac-specific targeted gene deletion.

This book addresses the validity of think-aloud protocols (TAPs) in L2 writing research through a mixed methods study and proposes effective approaches for their valid implementation. The book uncovers the reactive effects that TAPs have on L2 writing performance and processes, and examines how individual factors moderate this reactivity. It further presents and categorizes participants' perceptions regarding reactivity and veridicality. To enhance veridicality, the book identifies incomplete TAPs using retrospective verbal reports as a reference point. Recommendations for utilizing TAPs include considering participants' individual differences, recent experiences, and emotions. This book will be valuable to educators teaching methodology in second or foreign language education, applied linguistics, or writing research, and to L2 researchers or graduate students with a broad interest in research methods, process-based research, or writing studies, or planning to incorporate TAPs into their research.

In this book, Dr. Jun Zhang rebuts the widely-held view that Chinese economic growth is unsustainable due to low consumption and a reliance on exports and enormous fixed-asset investments. Though many believe this "structural imbalance" of the Chinese economy will become a serious problem in the long run, Zhang holds a bullish long-term outlook owing to China's long-term economic development. For Zhang, China's structural problems are greatly exaggerated and certain structures, such as regional governing entities, ensure that China will not face the same economic issues that Japan encountered. Through regional competition, regional governments will persevere; Zhang predicts that China will overtake the US as a superpower. Zhang concludes by acknowledging the real dangers facing China's economy, and offering advice on the reforms needed to ensure continued growth.

This book explores teachers' cognitions about the teaching of writing in English as a foreign language (EFL) and their teaching practice, as well as factors influencing the formation and reformation process of their cognition. Taking stock of Bakhtin's dialogism as the theoretical framework, the authors argue that the formation and reformation of teacher cognition is a dialogic process. A systematic analysis of participating teachers' cognition formation and re-formation process suggests the highly individual nature of teachers' cognitions. EFL researchers and teachers, teacher educators, teacher education policymakers, university administrators and EFL textbook writers could draw on the findings of the study to provide better resources to implement the teaching of EFL writing more effectively. The study has adopted a mixed-methods approach, whose quantitative results show the patterns and differences of teacher cognition among teachers of different backgrounds and with different schooling, education and working experiences. The qualitative findings show in detail teachers' cognition formation and reformation processes and the factors contributing to such processes, revealing convergence and divergence of teachers' stated cognitions, with a focus on the discrepancy between teacher cognition and teaching practice. These are useful lenses through which researchers and teachers will find significant implications for offering EFL writing instruction more effectively.

This book provides critical perspectives on issues relating to writing norms and assessment, as well as writing proficiency development, and suggests that scholars need to both carefully examine testing regimes and develop research-informed perspectives on tests and testing practices. In this way schools, institutions of adult education and universities can better prepare learners with differing cultural experiences to meet the challenges. The book brings together empirical studies from diverse geographical contexts to address the crossing of literacy borders, with a focus on academic genres and practices. Most of the studies examine writing in countries where the norms and expectations are different, but some focus on writing in a new discourse community set in a new discipline. The chapters shed light on commonalities and differences between these two situations with respect to the expectations and evaluations facing the writers. They also consider the extent to which the norms that the writers bring with them from their educational backgrounds and own cultures are compromised in order to succeed in the new educational settings.

This textbook offers readers a self-contained introduction to quantitative Tamarkin category theory. Functioning as a viable alternative to the standard algebraic analysis method, the categorical approach explored in this book makes microlocal sheaf theory accessible to a wide audience of readers interested in symplectic geometry. Much of this material has, until now, been scattered throughout the existing literature; this text finally collects that information into one convenient volume. After providing an overview of symplectic geometry, ranging from its background to modern developments, the author reviews the preliminaries with precision. This refresher ensures readers are prepared for the thorough exploration of the Tamarkin category that follows. A variety of applications appear throughout, such as sheaf quantization, sheaf interleaving distance, and sheaf barcodes from projectors. An appendix offers additional perspectives by highlighting further useful topics. Quantitative Tamarkin Theory is ideal for graduate students interested in symplectic geometry who seek an accessible alternative to the algebraic analysis method. A background in algebra and differential geometry is recommended. This book is part of the "Virtual Series on Symplectic Geometry" http://www.springer.com/series/16019

This volume gathers contributions from a range of global experts in teacher education to address the topic of language teacher education. It shows how teacher education involves the agency of teachers, which forms part of their identity, and which they take on when integrating into the teaching community of practice. In addition, the volume explores the teachers' situated practice--the dynamic negotiation of classroom situations, socialization into the professional teaching culture, and "on the ground experimentation" with pedagogical skills/techniques.

This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework's effectiveness.

This book explores teachers’ cognitions about the teaching of writing in English as a foreign language (EFL) and their teaching practice, as well as factors influencing the formation and reformation process of their cognition. Taking stock of Bakhtin’s dialogism as the theoretical framework, the authors argue that the formation and reformation of teacher cognition is a dialogic process. A systematic analysis of participating teachers’ cognition formation and re-formation process suggests the highly individual nature of teachers’ cognitions. EFL researchers and teachers, teacher educators, teacher education policymakers, university administrators and EFL textbook writers could draw on the findings of the study to provide better resources to implement the teaching of EFL writing more effectively. The study has adopted a mixed-methods approach, whose quantitative results show the patterns and differences of teacher cognition among teachers of different backgrounds and with different schooling, education and working experiences. The qualitative findings show in detail teachers' cognition formation and reformation processes and the factors contributing to such processes, revealing convergence and divergence of teachers’ stated cognitions, with a focus on the discrepancy between teacher cognition and teaching practice. These are useful lenses through which researchers and teachers will find significant implications for offering EFL writing instruction more effectively.

Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis.Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important.In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems; finite automata; labelled Petri nets; and cellular automata. The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology. Academic researchers with backgrounds in applied mathematics, engineering or computer science and practising engineers working with discrete-time and discrete-space systems will find this book a helpful source of new understanding for this increasingly important class of systems. The basic results to be found within are of fundamental importance for further study of related problems such as automated synthesis and safety control in cyber-physical systems using formal methods.

This book adopts the methods of field investigation and case study, systematically summarizes the development course of Nanjiang County in Sichuan Province since China's reform and opening-up, and comprehensively sorts out its main experiences of promoting green development and rural governance. These experiences not only have great enlightening and demonstration significance to the 80 counties that belong to the Qinba mountain area, but also have important reference value to promote rural revitalization and realize effective governance in the vast mountainous areas and counties throughout the country. Therefore, this book is not only suitable for ordinary readers interested in China's reform and opening up, but also suitable for professional researchers interested in China's green development and rural governance.

This book summarizes Chinese banks' achievements in global markets and examines the differences between Chinese and foreign banks. It also explores the future roadmap of internationalization and the risks involved in the process, in order to provide reference resource for Chinese banks. Based on the CBII (Chinese Bank Internationalization Index), which was first released in 2015, the book introduces the Banks' Internationalization Index ("BII") and expands the BII by examining two groups of data, including the number of overseas branches, overseas assets and revenue. In addition it analyzes representative Chinese banks' internationalization, using 16 of the Global Systemically Important Banks (G-SIBs) as benchmarks.