Xiaobo Zhang – författare

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis.

This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis.

This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

China’s spectacular growth and poverty reduction has been accompanied by growing inequality which threatens the social compact and thus the political basis for economic growth. Chinese policy makers have realized the importance of the problem and have launched a series of investigations and policy initiatives to address the issues. The regional dimension of inequality—rural/urban and inland/coastal—dominates in a country as large as China, and especially with its particular history. Not surprisingly, regional inequality has come to loom large in the policy debate in China.

The policy debate has been informed by, and to some extent instigated by, a parallel analytical literature which has quantified the magnitude of the problem and identified recent trends, offered explanations based on rigorous analysis, and proposed policy interventions in light of the facts and understanding. Through a series of articles which have been published in leading journals, the editors have been involved in a systematic investigation into the nature and evolution of regional inequality in China for over a decade.

China’s spectacular growth and poverty reduction has been accompanied by growing inequality which threatens the social compact and thus the political basis for economic growth. Chinese policy makers have realized the importance of the problem and have launched a series of investigations and policy initiatives to address the issues. The regional dimension of inequality—rural/urban and inland/coastal—dominates in a country as large as China, and especially with its particular history. Not surprisingly, regional inequality has come to loom large in the policy debate in China.

The policy debate has been informed by, and to some extent instigated by, a parallel analytical literature which has quantified the magnitude of the problem and identified recent trends, offered explanations based on rigorous analysis, and proposed policy interventions in light of the facts and understanding. Through a series of articles which have been published in leading journals, the editors have been involved in a systematic investigation into the nature and evolution of regional inequality in China for over a decade.

After three decades of spectacular economic growth in China, the problem is no longer how to achieve growth, but how to manage its consequences and how to sustain it. The most important consequence, at least as far as Chinese policy makers are concerned, is the rapidly growing inequality, between persons, between rural and urban areas, and between inland and coastal regions. At the same time, the institutions that have brought rapid growth so far are now under stress, and there is a need to reform and innovate on this front in order to sustain rapid growth, and to have growth with equity.

The analytical literature has responded to the emerging policy problems by specifying and quantifying their magnitude, understanding their nature, and proposing policy approaches and solutions. Policy makers have also been looking to analysts for interaction and assistance. This volume brings together a collection of the best available analyses of China’s problems in governing rapid growth, focusing on equity and institutions. Contributions include perspectives from leading policy makers who were intimately involved in the reform process, and from leading academics in articles published in top peer reviewed journals.

After three decades of spectacular economic growth in China, the problem is no longer how to achieve growth, but how to manage its consequences and how to sustain it. The most important consequence, at least as far as Chinese policy makers are concerned, is the rapidly growing inequality, between persons, between rural and urban areas, and between inland and coastal regions. At the same time, the institutions that have brought rapid growth so far are now under stress, and there is a need to reform and innovate on this front in order to sustain rapid growth, and to have growth with equity.

The analytical literature has responded to the emerging policy problems by specifying and quantifying their magnitude, understanding their nature, and proposing policy approaches and solutions. Policy makers have also been looking to analysts for interaction and assistance. This volume brings together a collection of the best available analyses of China’s problems in governing rapid growth, focusing on equity and institutions. Contributions include perspectives from leading policy makers who were intimately involved in the reform process, and from leading academics in articles published in top peer reviewed journals.

This book reviews the latest research on the molecules and mechanisms of marine host stress responses to viral infections and tumorigenesis. It offers an overview of the state of the art in the field as well as future directions.

Metabolism disorder is a characteristic of tumorigenesis. Since viruses complete their life cycle in host cells, such infections cause metabolic disorders in the host. As such, the mechanisms of virus pathogenesis and tumor progression are similar or even identical. In essence, the role of antiviral molecules is to maintain the metabolic homeostasis of infected host cells, and the antiviral molecules induced by virus infection may play an important role in antitumor pathways, resulting in cancer cell death or restoring the disordered metabolism of cancer cells. The molecules generated during host stress responses to viruses can also contribute to the antitumor mechanisms in humans. However, the relationship between host stress responses to virus infection and tumorigenesis has not been extensively explored.