Xi Chen explains why there has been a dramatic rise in social protests in China since the early 1990s and how it has strengthened the current regime"--
This book thoroughly examines how China under Xi Jinping has conceptualized and enforced its digital propaganda strategy on social media,which has enabled the ruling Chinese Communist Party (CCP) regime to manipulate online information and shape public opinion.
Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainability Key Features Master Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recovery Build your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and compliance Learn how to manage Secrets through real-world cases, strengthening your applications’ security posture Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes. Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you’ll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions. Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution. By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learn Explore Kubernetes Secrets, related API objects, and CRUD operations Understand the Kubernetes Secrets limitations, attack vectors, and mitigation strategies Explore encryption at rest and external secret stores Build and operate a production-grade solution with a focus on business continuity Integrate a Secrets Management solution in your CI/CD pipelines Conduct continuous assessments of the risks and vulnerabilities for each solution Draw insights from use cases implemented by large organizations Gain an overview of the latest and upcoming Secrets management trends Who this book is for This handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path—from foundations to implementation—with a security-first mindset. You’ll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.
The "Yi Jing" or "Book of Changes" is China's oldest classic, a book of divination attributed to the mythical emperor Fu Xi. The present version stays as close as possible to the "Book of Changes" of the time of Zhou, which is followed in its pristine Chinese logic.
Xi Chen explores the question of why there has been a dramatic rise in and routinization of social protests in China since the early 1990s. Drawing on case studies, in-depth interviews, and a unique data set of about 1,000 government records of collective petitions, this book examines how the political structure in Reform China has encouraged Chinese farmers, workers, pensioners, disabled people, and demobilized soldiers to pursue their interests and claim their rights by staging collective protests. Chen suggests that routinized contentious bargaining between the government and ordinary people has remedied the weaknesses of the Chinese political system and contributed to the regime's resilience. Social Protest and Contentious Authoritarianism in China challenges the conventional wisdom that authoritarian regimes always repress popular collective protest and that popular collective action tends to destabilize authoritarian regimes.
Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems. The authors present dichotomy classifications for broad classes of counting problems in the realm of P and NP. Classifications are proved for partition functions of spin systems, graph homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory, developing proof techniques as needed and gradually increasing the generality and abstraction of the theory. This volume presents the theory on the Boolean domain, and includes a thorough presentation of holographic algorithms, culminating in classifications of computational problems studied in exactly solvable models from statistical mechanics.
This textbook was compiled with a focus on the local Indian context, culture, and business practices. The topics can be divided into two categories: social life, and workplace activities related to business communication, designed to enhance the business Mandarin Chinese communication skills of learners. There are 10 lessons each in three volumes, for a total of 30 lessons, in line with the number of hours in a typical semester in India.
This study aims at improving the solution efficiency of Mixed Integer Nonlinear Programming (MINLP) through parallelism. Unlike most conventional parallel implementations of MINLP solvers, which utilize multi-threads to share the burden in the serial mode, the proposed method combines hybrid algorithms running on different threads. Two types of algorithms are designed in a parallel structure. One is the Quesada and Grossman's LP/NLP based branch and bound algorithm (QG); the other is Tabu Search (TS). The proposed method attempts to minimize the search space through continuous communication and exchange of intermediate results from each thread. Three kinds of information are exchanged between the two threads. First, the best solution in TS, if feasible, serves as a valid upper bound for QG. Second, new approximations which can further tighten the lower bound of QG can be generated at nodes provided by the TS. Third, strong branching in QG may fix some integer variables, which can help reduce the search space of TS. Both threads can thus benefit from the exchanged information in the hybrid method. Numerical results show that solution time can be greatly reduced for the tested MINLP. In addition, complexity analysis of the parallel approach suggests that the proposed method has the potential for superlinear speedup.
There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.
In this chapter, we present an overview of multicarrier transmission and its application to optical communication. Specifically, we first introduce the historical perspectives in the development of optical multicarrier technologies. We then present different variants of optical multicarrier transmission. We also highlight the problem of fiber nonlinearity in optical multicarrier transmission systems and present an analysis of fiber capacity under nonlinear impairments. Furthermore, we discuss applications of multicarrier techniques to long-haul systems, access networks, and free-space optical communication systems. Finally, we summarize with some possible research directions in implementing multicarrier technologies in optical transmission.
Wireless sensor networks have a range of applications, including military uses and in environmental monitoring. When an area of interest is inaccessible by conventional means, such a network can be deployed in ways resulting in a random distribution of the sensors. Randomly Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. It quantifies the relationship between parameters of the network and its performance, and puts forward a communication protocol. The title provides analyses and formulas, giving engineering insight into randomly deployed wireless sensor networks. Five chapters consider the analysis of coverage performance; working modes and scheduling mechanisms; the relationship between sensor behavior and network performance properties; probabilistic forwarding routing protocols; localization methods for multiple targets and target number estimation; and experiments on target localization and tracking with a Mica sensor system. Details a probabilistic method to model and analyze randomly deployed wireless sensor networks Gives working modes and scheduling mechanisms for sensor nodes, allowing high-probability of target detection Considers the relationship between sensor behaviour and network performance and lifetime Offers probabilistic forwarding routing protocols for randomly deployed wireless sensor networks Describes a method for localizing multiple targets and estimating their number
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