Jun Xu – författare

Network Algorithmics: An Interdisciplinary Approach to Designing Fast Networked Devices, Second Edition takes an interdisciplinary approach to applying principles for efficient implementation of network devices, offering solutions to the problem of network implementation bottlenecks. In designing a network device, there are dozens of decisions that affect the speed with which it will perform - sometimes for better, but sometimes for worse. The book provides a complete and coherent methodology for maximizing speed while meeting network design goals. The book is uniquely focused on the seamless integration of data structures, algorithms, operating systems and hardware/software co-designs for high-performance routers/switches and network end systems.

Thoroughly updated based on courses taught by the authors over the past decade, the book lays out the bottlenecks most often encountered at four disparate levels of implementation: protocol, OS, hardware and architecture. It then develops fifteen principles key to breaking these bottlenecks, systematically applying them to bottlenecks found in end-nodes, interconnect devices and specialty functions located along the network. Later sections discuss the inherent challenges of modern cloud computing and data center networking.

Offers techniques that address common bottlenecks of interconnect devices, including routers, bridges, gateways, endnodes, and Web servers Presents many practical algorithmic concepts that students and readers can work with immediately Revised and updated throughout to discuss the latest developments from authors' courses, including measurement algorithmics, randomization, regular expression matching, and software-defined networking Includes a new, rich set of homework exercises and exam questions to facilitate classroom use

Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences, this text provides details for doing Bayesian and frequentist data analysis of CLRV models. Each chapter can be read and studied separately with R coding snippets and template interpretation for easy replication. Along with the doing part, the text provides basic and accessible statistical theories behind these models and uses a narrative style to recount their origins and evolution.This book first scaffolds both Bayesian and frequentist paradigms for regression analysis, and then moves onto different types of categorical and limited response variable models, including binary, ordered, multinomial, count, and survival regression. Each of the middle four chapters discusses a major type of CLRV regression that subsumes an array of important variants and extensions. The discussion of all major types usually begins with the history and evolution of the prototypical model, followed by the formulation of basic statistical properties and an elaboration on the doing part of the model and its extension. The doing part typically includes R codes, results, and their interpretation. The last chapter discusses advanced modeling and predictive techniques—multilevel modeling, causal inference and propensity score analysis, and machine learning—that are largely built with the toolkits designed for the CLRV models previously covered.The online resources for this book, including R and Stan codes and supplementary notes, can be accessed at https://sites.google.com/site/socjunxu/home/statistics/modern-applied-regressions.

Estimate and Interpret Results from Ordered Regression ModelsOrdered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption.The authors first introduce the three "parallel" ordered regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the parallel regression assumption, propose new variations of several tests, and discuss important practical concerns related to tests of the parallel regression assumption. The book also describes extensions of ordered regression models, including heterogeneous choice models, multilevel ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R.This book offers a conceptual framework for understanding ordered regression models based on the probability of interest and the application of the parallel regression assumption. It demonstrates the usefulness of numerous modeling alternatives, showing you how to select the most appropriate model given the type of ordinal outcome and restrictiveness of the parallel assumption for each variable.Web ResourceMore detailed examples are available on a supplementary website. The site also contains JAGS, R, and Stata codes to estimate the models along with syntax to reproduce the results.

This book provides a comprehensive coverage of major channel codes adopted since the 3rd generation of mobile communication. Modulation schemes suitable for 5G mobile communications are also described based on key New Radio application scenarios and performance requirements.It covers low density parity check (LDPC) codes, Polar codes, tail-biting convolutional codes (TBCC) and Turbo codes. Outer codes and a few advanced coding and modulations are also discussed. In addition, it includes detailed illustration of each channel coding scheme such as the basic code structure, decoding algorithms, performance evaluation and complexity analysis. The book offers insights on why and how channel codes are designed and developed in standardization organizations, which significantly facilitates the reading and understanding of the of 5G channel coding technologies.Channel Coding in 5G New Radio will be an essential read for researchers and students of digital communications, wireless communications engineers, and those who are interested in mobile communications in general.

This book provides a comprehensive coverage of major channel codes adopted since the 3rd generation of mobile communication. Modulation schemes suitable for 5G mobile communications are also described based on key New Radio application scenarios and performance requirements.It covers low density parity check (LDPC) codes, Polar codes, tail-biting convolutional codes (TBCC) and Turbo codes. Outer codes and a few advanced coding and modulations are also discussed. In addition, it includes detailed illustration of each channel coding scheme such as the basic code structure, decoding algorithms, performance evaluation and complexity analysis. The book offers insights on why and how channel codes are designed and developed in standardization organizations, which significantly facilitates the reading and understanding of the of 5G channel coding technologies.Channel Coding in 5G New Radio will be an essential read for researchers and students of digital communications, wireless communications engineers, and those who are interested in mobile communications in general.

Estimate and Interpret Results from Ordered Regression ModelsOrdered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption.The authors first introduce the three "parallel" ordered regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the parallel regression assumption, propose new variations of several tests, and discuss important practical concerns related to tests of the parallel regression assumption. The book also describes extensions of ordered regression models, including heterogeneous choice models, multilevel ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R.This book offers a conceptual framework for understanding ordered regression models based on the probability of interest and the application of the parallel regression assumption. It demonstrates the usefulness of numerous modeling alternatives, showing you how to select the most appropriate model given the type of ordinal outcome and restrictiveness of the parallel assumption for each variable.Web ResourceMore detailed examples are available on a supplementary website. The site also contains JAGS, R, and Stata codes to estimate the models along with syntax to reproduce the results.

Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy).In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist.Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems).What You’ll LearnUnderstand the fundamental factors of data storage system performanceMaster an essential analytical skill using block trace via various applicationsDistinguish how the IO pattern differs in the block level from the file levelKnow how the sequential HDFS request becomes “fragmented” in final storage devicesPerform trace analysis tasks with a tool based on the MATLAB and Python platformsWho This Book Is ForIT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers

In this extremely thorough book, acupuncture is shown to be the avenue to feeling younger and living longer. Acupuncture releases a natural energy that can alleviate even longstanding health conditions, including asthma, bronchitis, drug or alcohol abuse, gastritis, headaches, hypertension or strokes. Dr. Xu continues the narrative with a discussion of how acupuncture works, what illnesses and conditions are most responsive to it and which treatments are approved or recommended by physicians and health organisations. The book contains research on acupuncture and advice from both authors on selecting an acupuncturist, chapters on the theories that make up Traditional Chinese Medicine, including the yin/yang theory, the five elements theory and the Meridians. Also included are case histories of people whose conditions have been cured or greatly alleviated. There are detailed tables and photos of acupuncture points for every one of the conditions discussed and case histories, also, include tips for the reader that can include acupressure points corresponding to the demonstrated acupuncture points in this chapter. In the back of the book, there are tips for practitioners listed by chapters, a glossary of terms and a reference section.This valuable, information-packed guide elaborates on how Dr. Xu administers the most effective acupuncture techniques to obtain maximum benefits. Anyone who is either thinking of commencing acupuncture or is actually undergoing treatment will find it well worth the time to peruse MAGIC NEEDLES.

Frank Murray opens the narrative with a history of acupuncture, then co-author Dr. Jun Xu explains how acupunctures "magic needles" release a natural energy that can alleviate even longstanding health conditions - including asthma, bronchitis, substance abuse, headaches, and hypertension. He continues with a discussion of how acupuncture works, what conditions are most responsive to it, and which treatments are approved by physicians and health organziations. Case histories, tips for practitioners, a glossary of terms, and a reference section is included.

This book describes the setup of digital enterprises and how to manage them, focusing primarily on the important knowledge and essential understanding of digital enterprise management required by managers and decision makers in organizations. It covers ten essential knowledge areas of this field: • Foundation of Digital Enterprise • Technology Foundation and Talent Management for Digital Enterprise• Digital Enterprise Strategy Planning and Implementation • B2C Digital Enterprise: E-tailing• B2C Digital Enterprise: E-Services• B2B Digital Enterprise and Supply Chain• Digital Platforms• Digital Marketing and Advertising• Digital Payment Systems• Mobile EnterpriseOverall, this text provides the reader with the basics to understand the rapid development of digitization, facilitated by the dramatic advancements in digital technologies, extensively connected networks, and wider adoption of computing devices (especially mobile devices), as more and more organizations are realizing the strategic importance of digitization (e.g., sustainable growth of the organization, competitive advantage development and enhancement) and are embarking on digital enterprise.

In addition, essential and critical information systems management skills including using information systems for competitive advantages, planning and evaluating information systems, system development & implementing information systems, and managing information systems operations will be a critical part of the book.

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.

This comprehensive compendium is about managing information systems and focuses on relationships between information, information systems, people and business. The impacts, roles, risks, challenges as well as emerging trends of information systems are an important element of the book.Essential and critical information systems management skills including using information systems for competitive advantages, planning and evaluating information systems, developing and implementing information systems, and managing information systems operation form a critical part of this unique reference text.Current topics like digital platforms, agile organization, DevOPs, blockchain, 5G, data center and quantum computing prove indispensable for readers who want to stay in the forefront of today's complex information systems.

In the world of internet, wide adoption of computing devices dramatically reduces storage costs with easy access to huge amount of data, thus posing benefits and challenges to e-business amongst organizations.This unique compendium covers current status and practices of e-business among organizations, their challenges and future directions. It also includes studies of different perspectives and markets of e-business.The must-have volume will be a good reference text for professionals and organizations who are updating their e-business knowledge/skills and planning their e-business initiatives.

The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than $100 billion in 2020, the proliferation of FinTech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading.This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS).To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech.Related Link(s)

This compendium looks at the current status and practices of teaching and learning facilitated/enabled by digital technologies, reviews challenges/issues associated with classroom teaching, online teaching and hybrid-learning, and discusses success factors and future directions of teaching and learning in the digital era.The book also provides a number of studies at different perspectives of using digital technologies for teaching and learning.This useful reference text benefits teaching staff or administrators at education institutions (especially higher education providers) to update their professional knowledge and skills.

This book addresses one of the most important components for pedestrian safety in vehicles – laminated windshields. It includes detailed real-world material characterization results for laminated glass and testing methodologies, constitutive models, and step-by-step numerical simulation modeling and simulation methods. As such, the book provides readers a thorough understanding of the mechanical behaviors of laminated glass and windshields. It also presents fundamental test data, analysis methodologies and essential insights into laminated glass safety design and mechanical behavior prediction. The book addresses the needs of researchers, engineers and postgraduate students in the fields of automotive engineering, mechanical engineering and related areas.

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues.

Solid-State NMR Characterization of Heterogeneous Catalysts and Catalytic Reactions provides a comprehensive account of state-of-the-art solid-state NMR techniques and the application of these techniques in heterogeneous catalysts and related catalytic reactions.

Embarking on electronic business is a challenging task. There is also a lack of clear understanding and comprehensive analysis of various issues and domains of electronic business. This book offers a very comprehensive analysis of concepts, models and infrastructures of e-business. It also presents unique observations of current e-business practices for different organizations in different economies and provides insights on the future of current leading businesses on the net and the trends of e-business. The volume will be an effective and indispensible reference book for professionals who are interested in or dealing with e-business and businesses that are embarking on e-business.

It has encompassed various facets including Intelligent Vehicle, Electric Vehicle Technology, Power Electronics and Motor Drives, Energy Systems and Storage, Electronic Control Systems, Battery Technologies, Autonomous and Connected Vehicles.

This book represents the cutting-edge ideas on translation studies in recent years from China’s pioneer translator Xu Jun. The book discusses the following points: first of all the theoretical thinking of translation studies, second the translation methods and challenges in the new era, and then the translation spirit and critical exploration, followed by translation education, translation value, and others. It serves as a reference book for scholars and readers who are dedicated in thoughts about developing China’s translation studies.

This book provides the first comprehensive and systematic account of the multi-level governance system adopted by China in realizing the Dual-Carbon transition.

This book provides the first comprehensive and systematic account of the multi-level governance system adopted by China in realizing the Dual-Carbon transition. This governance system encompasses the participation of the government, the market, industry and all sectors of society, and emphasizes coordination and cooperation between all levels of government between different sectors, and between domestic and international levels. The book finds that the government can play an important leadership and guidance role in the Dual-Carbon transition. By formulating and implementing relevant policies, regulations and planning, the government can promote the process of Dual-Carbon development. Second, the full utilization of market mechanisms also plays a key role. Through measures such as establishing a carbon market and promoting carbon pricing, the market mechanism promotes the innovation and application of low carbon technologies. In addition, the active participation of industry is an indispensable factor in realizing a Dual-Carbon transition. Industry and agriculture have contributed to Dual-Carbon development by promoting the efficient use of resources and the adoption of green production methods. Finally, raising public awareness and participation in environmental protection is also indispensable, and the process of Dual-Carbon transition is effectively promoted through publicity and education, social organizations and public participation. By addressing multiple themes, this book provides a comprehensive understanding and in-depth analysis of the Dual-Carbon transition, and offers scientific guidance and policy recommendations for China's sustainable development and the achievement of Dual-Carbon goals. At the same time, the significance of this book lies in the fact that it provides reference for other countries and regions, and makes a positive contribution to global climate governance.Parts of this book's translation from its Chinese original manuscript were completed with the assistance of artificial intelligence. The author subsequently revised the content.

This book is a practical, end-to-end guide to building product-implementation-ready Retrieval-Augmented Generation (RAG) systems for high-stakes domains such as healthcare, finance, education, legal services, and customer support. While Artificial Intelligence (AI) advances rapidly, Large Language Models (LLMs) continue to face challenges with factual consistency and domain-specific accuracy. LLM-based RAG systems address these limitations by integrating live, external knowledge sources to produce grounded, current, and trustworthy outputs.Readers are taken through the full RAG pipeline with MLOps/LLMOps — while tackling 30+ real-world implementation challenges, including data parsing & chunking, prompt rephrasing, retrieval quality, response synthesis, hallucination mitigation, evaluation frameworks, serving & monitoring enhancement, orchestration optimization, and graph-, tabular-, and agentic-RAG patterns. Clear architectures, case studies, and runnable code illustrate how to design, implement, validate, monitor, and scale robust RAG systems.The book also provides a balanced perspective on the current limitations of RAG approaches and their future potential as part of emerging agentic AI ecosystems. Whether you are an engineer, product leader, or researcher, this book equips you to deliver reliable, business-ready AI solutions while staying ahead of rapidly evolving technologies.All supplementary material (i.e. sample codes) are available at https://github.com/junxu-ai/RAG_Codes.