This book gathers the outcomes of various, extensive research efforts on building a moderately prosperous society in minority areas, which would allow China’s poor and poverty-stricken areas to comprehensively join the rest of society. Offering an essential reference guide, the book will help readers understand the process, achievements, problems, and future development with regard to building a moderately prosperous society in the new era.
Welcome to the first edition of “Multimedia Security Paradigms: A Peer-to-peer network perspective”, since the publication of our research manuscripts which have been adopted into various conventional studies and also obtained appreciation from many research communities which has overwhelmed us with positive response. This edition of the book attempts collaborating the overall research contribution and also present in the form of a book edition which has been obtained from the entire prior work carried out till date. The book basically discusses about the conventional client-server architecture and its drawbacks in various commercialized applications currently being practised in internetworking domain. Further, the book emphasizes on introducing peer-to-peer (p2p) and its design aspects which plays a vital role in transferring files with massive size.
How has the Chinese economy managed to grow at such a remarkable rate - no less than ten per cent per annum - for over three decades? This well-integrated book combines economic theory, empirical estimation, and institutional analysis to address one of the most important questions facing contemporary economists. A common thread that runs throughout the book is the underlying political economy: why China became a 'developmental state', and how it has maintained itself as a 'developmental state'. The book examines the causal processes at work in the evolution of China's institutions and policies. It estimates cross-country and cross-province growth equations to shed light on the proximate, and some of the underlying, determinants of the growth rate. It explores important consequences of China's growth, posing a series of key questions, such as: is the economy running out of unskilled labour; why and how has inequality risen; has economic growth raised happiness; what are the social costs of the overriding priority accorded to growth objectives; can China continue to grow rapidly, or will the maturing economy, or the macroeconomic imbalances, or financial crisis, or social instability, bring it to an end? Based mainly on original research, this book will be of interest to growth economists, development economists, transition economists, China specialists, policy-makers, and indeed all those who are intrigued by the Chinese growth phenomenon.
This book opens with the emergence and development of the discipline of aesthetics in western countries, specifically the history of Western Music Aesthetics, to study and delve into the development of Chinese Music Aesthetics. The book provides a clear timeline throughout the writing — from the history of Chinese Music Aesthetics, to the construction of a theoretical framework, and the intersections and conversations between Western and Chinese Music Aesthetics. This academic piece is fundamentally consistent with the developing field of Chinese philosophical and literary research.This book also discusses important music aesthetic categories of Confucianism, Taoism, Mohism, and metaphysics, and uses critical thinking to analyse the relationship between these categories and relevant schools of thought, reflecting the author's academic vision and thought process.
The rise of rapid and uncontrolled industrialization, its alarming levels of hazardous waste produced, and their negative contribution to the international environmental epidemic of global warming — in addition to the decrease in room to dispose of these wastes safely — have put the pressure for many engineers, researchers, and key decision-makers to find the answers to the constant tussle between progress and sustainability — and quickly.Environmental Geotechnology revisits existing concepts of geotechnical engineering critically, and brings them up to date with new knowledge and current affairs so as to better address and serve today's needs of the professionals. It points out the role and importance of the parameters and mechanisms that govern the interaction of contaminants with geomaterials (soil and rock mass), and also discusses their degradation in the long-run, and the consequences that follow.The book starts from a engineering philosophy that incorporates the influence of environmental effects (both manmade and natural) on geotechnical engineering practices. Its contents are based on geotechnical and environmental engineering studies pertaining to waste management, such as: the safe handling, transportation and disposal of waste, the estimation of waste leakage into the subsurface, its consequences, methods of containment, and the development of schemes to remediate contaminated land. It also proposes innovative strategies for waste management through the utilization of wastes based on a comprehensive characterization.Modelling techniques such as accelerated physical modelling using geotechnical centrifuge, finite-element or difference-based numerical modelling and physico-chemico-mineralogical modelling are discussed in this book to enable the study of the complex (and otherwise slow) process of contaminant-geomaterial interaction.Related Link(s)
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
The study of bacterial genetics has revolutionised with the development of genome sequencing, which let us catalogue the gene content of various clinically and industrially important bacteria and opened up the field of comparative genomics. The research findings on bacterial genetics were further enhanced by the development of allied techniques that allowed interrogation of the interactions and functions of the many components of the genome. These developments accelerated with the widespread adoption of quantitative deep-sequencing approaches. This process allowed both comparative and functional genomics on an unprecedented scale by presenting powerful tools to investigate multiple layers of bacterial adaptation and evolution. This book presents the application of genomic tools to examine bacterial adaptation. The emphasis is on data analysis and interpretation. Much of the material is drawn from the recent, primary literature, which is the most powerful tool in the cutting-edge and fast-growing field of bacterial research.
India, That Is Bharat, the first book of a comprehensive trilogy, explores the influence of European 'colonial consciousness' (or 'coloniality'), in particular its religious and racial roots, on Bharat as the successor state to the Indic civilisation and the origins of the Indian Constitution. It lays the foundation for its sequels by covering the period between the Age of Discovery, marked by Christopher Columbus' expedition in 1492, and the reshaping of Bharat through a British-made constitution-the Government of India Act of 1919. This includes international developments leading to the founding of the League of Nations by Western powers that tangibly impacted this journey. Further, this work also traces the origins of seemingly universal constructs such as 'toleration', 'secularism' and 'humanism' to Christian political theology. Their subsequent role in subverting the indigenous Indic consciousness through a secularised and universalised Reformation, that is, constitutionalism, is examined. It also puts forth the concept of Middle Eastern coloniality, which preceded its European variant and allies with it in the context of Bharat to advance their shared antipathy towards the Indic worldview. In order to liberate Bharat's distinctive indigeneity, 'decoloniality' is presented as a civilisational imperative in the spheres of nature, religion, culture, history, education, language and, crucially, in the realm of constitutionalism.
This book chronicles a few approaches to constructing biohybrid devices using photosynthetic protein complexes. Can the abundantly available solar energy be tapped to meet our rising energy demands using green and cheap active materials? Exploring nature’s own tiny solar factories, the photosynthetic proteins could hold the key. Photosynthetic pigment-protein complexes found in plants and certain types of bacteria transduce sunlight into biologically useful forms of energy through a photochemical charge separation that has a 100% quantum efficiency. Getting the photoproteins to perform this efficient energy conversion reaction in a semi-artificial setup is central to developing biohybrid solar technologies, a promising green alternative to today’s photovoltaics. This book looks into the existing challenges and opportunities in the field of biohybrid photovoltaics and provides a few prospective methods of enhancing the photocurrent and photovoltage in these devices. The book targets the readership of students, academics, and industrial practitioners who are interested in alternative solar technologies.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Dear Readers, We live in a remarkable era of rapid technological advancement, where innovation is reshaping our world at an unprecedented pace. From artificial intelligence to renewable energy, emerging technologies are driving transformative changes across various sectors, promising to revolutionize the way we live, work, and interact. Artificial intelligence (AI) is a prime example of a groundbreaking technology that is already making a significant impact. Machine learning algorithms and deep neural networks are enabling computers to learn, reason, and make decisions like never before. AI is being employed in fields as diverse as healthcare, finance, transportation, and entertainment, revolutionizing processes, improving efficiency, and unlocking new possibilities. The Internet of Things (IoT) is another revolutionary concept that is steadily permeating our daily lives. By connecting everyday objects to the internet and allowing them to communicate and share data, IoT is creating a seamlessly interconnected environment. Smart homes, autonomous vehicles, and industrial automation are just a few examples of how IoT is reshaping industries and enhancing our quality of life. Advancements in biotechnology and genetic engineering hold the promise of tackling some of the most pressing challenges in healthcare, agriculture, and environmental conservation. Gene editing technologies like CRISPR-Cas9 have the potential to cure genetic diseases, increase crop yields, and preserve endangered species. The ability to manipulate DNA is opening up new frontiers in scientific discovery and paving the way for a more sustainable and healthier future. Renewable energy technologies are revolutionizing the global energy landscape. Solar, wind, and hydroelectric power are becoming increasingly affordable and efficient, driving the transition towards a clean energy economy. With each passing day, we are moving closer to achieving energy independence, mitigating climate change, and ensuring a sustainable future for generations to come. Blockchain technology, initially popularized by cryptocurrencies like Bitcoin, is now being recognized for its potential in transforming various industries. Its decentralized and transparent nature offers new possibilities for secure and efficient transactions, data management, and supply chain optimization. Blockchain is poised to disrupt finance, healthcare, logistics, and other sectors, driving efficiency, reducing fraud, and fostering trust. These emerging technologies are not just isolated advancements; they are interconnected and synergistic. The convergence of AI, IoT, biotechnology, renewable energy, and blockchain holds the potential for even more profound transformations. Combined, they can create smart cities with optimized energy consumption, personalized medicine tailored to individual genomes, and sustainable ecosystems that benefit both human society and the planet. However, as we embrace the promises of emerging technologies, we must also acknowledge the challenges they present. Ethical considerations, privacy concerns, and the potential for job displacement are all aspects that require careful consideration. As society navigates these transformative waters, policymakers, researchers, and citizens alike must work together to ensure responsible and equitable deployment of emerging technologies. The future is being shaped by the incredible potential of emerging technologies. As we witness their integration into our daily lives, it is imperative that we approach their development and deployment with responsibility, foresight, and empathy. By doing so, we can harness their power to create a better, more sustainable, and inclusive future for all. Sincerely, Dr K Parish Venkata Kumar Mr.Prasad Devarasetty Dr.Muralidhar Vejendla Dr N Raghvendra Sai Dr.K Gurnadha Gupta Dr P Dileep Kumar Reddy
The world's two most populous countries, China and India, are undergoing dramatic demographic, societal, and economic transformations. However, the health status of residents of China and India still lags behind relative to other populations, and the health gains in each country have been uneven across subpopulations. Although they have achieved substantial advances in life expectancy and disease prevention since the middle of the 20th century, the Chinese and Indian health systems provide little protection against financial risk, and patient satisfaction is a lower priority than it should be. This paper compares the health systems of China and India to determine what approaches to improving health in these two countries do and do not work. In particular, the authors compare the health systems in China and India along three dimensions: policy levers, intermediate outcomes, and ultimate ends. The authors conclude that both countries must (1) restructure health care financing to reduce the burden of out-of-pocket medical care costs on individual patients; (2) increase access to care, especially in rural areas; (3) reduce dependence on fee-for-service contracts that promote overutilization of medical care; (4) build capacity for addressing and monitoring emerging diseases; and (5) match hospital capabilities with local needs.
Two neuroscientists reveal why consciousness exists and how it works by examining eighteen increasingly intelligent minds, from microbes to humankind—and beyond. Why do you exist? How did atoms and molecules transform into sentient creatures that experience longing, regret, compassion, and even marvel at their own existence? What does it truly mean to have a mind—to think? Science has offered few answers to these existential questions until now. Journey of the Mind is the first book to offer a unified account of the mind that explains how consciousness, language, self-awareness, and civilization arose incrementally out of chaos. The journey begins three billion years ago with the emergence of the universe’s simplest possible mind. From there, the book explores the nanoscopic archaeon, whose thinking machinery consists of a handful of molecules, then advances through amoebas, worms, frogs, birds, monkeys, and humans, explaining what each “new” mind could do that previous minds could not. Though they admire the triumph of human consciousness, Ogi Ogas and Sai Gaddam argue that humans are hardly the most sophisticated minds on the planet. The same physical principles that produce human self-awareness are leading cities and nation-states to develop “superminds,” and perhaps planting the seeds for even higher forms of consciousness. Written in lively, accessible language accompanied by vivid illustrations, Journey of the Mind is a mind-bending work of popular science, the first general book to share the cutting-edge mathematical basis for consciousness, language, and the self. It shows how a “unified theory of the mind” can explain the mind’s greatest mysteries—and offer clues about the ultimate fate of all minds in the universe.
This book focuses on a particular class of models (namely Multi-Mechanism models) and their applications to extensive experimental data base related to different kind of materials. These models (i) are able to describe the main mechanical effects in plasticity, creep, creep/plasticity interaction, ratcheting extra-hardening under non-proportional loading (ii) provide local information (such us local stress/strain fields, damage, ….). A particular attention is paid to the identification process of material parameters. Moreover, finite element implementation of the Multi-Mechanism models is detailed.
This brief highlights recent research advances in the area of nano-therapeutics. Nanotechnology holds immense potential for application in a wide range of biological and engineering applications such as molecular sensors for disease diagnosis, therapeutic agents for the treatment of diseases, a vehicle for delivering therapeutics and imaging agents for theranostic applications, both in-vitro and in-vivo. The brief is grouped into the following sections namely, A) Discrete Nanosystems ; B) Anisotropic Nanoparticles; C) Nano-films/coated/layered and D) Nano-composites.
Both individuals and medical professionals have particular difficulties when dealing with neurological diseases. A thorough understanding of the fundamentals of nerve system-specific anatomy, physiology, and rehabilitation is necessary for the management of these diseases. The goal of this book is to give readers a thorough understanding of the management and rehabilitation of neurological diseases by providing information on modern rehabilitation procedures, treatment plans, and assessment methods. Numerous types of neurological illnesses affect millions of people globally. Every ailment has its own set of difficulties, ranging from widespread disorders like Parkinson's disease and stroke to uncommon ones. An overview of these disorders is given in this chapter, which also covers risk factors, underlying causes, and epidemiology.
Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system. This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google’s Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today. Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud. You’ll: Dive deep into the source code of real malware Explore the static, dynamic, and complex features you can extract from malware for analysis Master the machine learning algorithms useful for malware detection Survey the efficacy of machine learning techniques at detecting common Android malware categories The Android Malware Handbook’s team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.
Specialized care for cancer-related emergencies and acute conditions has evolved into a new discipline - a hybrid of oncology and emergency medicine. However, most cancer patients are not treated for their emergencies at specialized centers; rather, they go to acute care facilities in general hospitals or emergency rooms. The purpose of Oncologic Emergencies is to provide an additional resource for primary care providers (internists, family practitioners, advanced clinical practitioners), emergency physicians, oncologists, and other healthcare providers who may not see oncology patients on a regular basis. Written by acute care oncology experts, Oncologic Emergencies is an informative and authoritative review for when cancer patients require acute symptom management. The text is extensively indexed for easy access and retrieval of information. Chapters discuss triage, life and death situations, major presenting symptoms, diagnostic imaging, and pathophysiology of emergency illness. Additional chapters focus on the organ system (including pain emergencies and psychiatric emergencies) with other chapters dedicated to pediatric and geriatric cancer patients. Oncologic Emergencies is a compact, concise and comprehensive guide to the management of acute and emergency situations relating to cancer. Key Features: Features generic names for medications and foreign synonyms to allow for world-wide use Incorporates algorithms, especially for diagnostic approaches or therapeutic management Includes a dual-platform mini-CD-ROM with the complete text and illustrations, in fully searchable PDF files
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.
Recent therapeutic advances in cancer treatment indicate that cancer is becoming a chronic disease rather than a killer. This comprehensive text is the first to define and address the broad spectrum of acute and chronic internal medicine disorders that occur in cancer patients and cancer survivors as side-effects of the disease itself, or of the treatment regimens. The authors cover nononcologic aspects of internal medicine such as anorexia, obesity, bone loss, diabetes, depression, pain, fatigue, congestive heart failure, skin disorders, and pneumonia. This book is conceived as a companion to standard internal medicine and oncology texts - a comprehensive reference resource for internists caring for cancer patients and oncologists in practice. The text is extensively indexed for easy access and retrieval of information.
This book introduces the concepts, perspectives, and importance of integrated marketing communication (IMC). It presents the history of Indian advertising, the strategic importance of IMC, and a discussion on social and cultural factors that enhance the effectiveness of marketing communication. Attuned to an evolving, Internet-driven, social media–connected world, the book covers all the important forms of communications used by business organizations, touching upon key areas, from marketing plans, branding, positioning, and creative briefs to copywriting, design. It takes the readers through the varied strands of IMC, including advertising, public relations, direct marketing, and sales promotion. The volume also presents considerations for each major media format with an aim of sending their messages to the end consumer. This volume will be an invaluable resource for students, scholars, and marketing professionals as it covers a wide range of topics like communication strategies, advertising, marketing, brand management, media studies, and public relations.
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.
This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the “next generation of engineered systems,” that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide.
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