On July 19, 1048, the Yellow River breached its banks, drastically changing its course across the Hebei Plain and turning it into a delta where the river sought a path out to the ocean. This dramatic shift of forces in the natural world resulted from political deliberation and hydraulic engineering of the imperial state of the Northern Song Dynasty. It created eighty years of social suffering, economic downturn, political upheaval, and environmental changes, which reshaped the medieval North China Plain and challenged the state. Ling Zhang deftly applies textual analysis, theoretical provocation, and modern scientific data in her gripping analysis of how these momentous events altered China's physical and political landscapes and how its human communities adapted and survived. In so doing, she opens up an exciting new field of research by wedding environmental, political, economic, and social history in her examination of one of North China's most significant environmental changes.

On July 19, 1048, the Yellow River breached its banks, drastically changing its course across the Hebei Plain and turning it into a delta where the river sought a path out to the ocean. This dramatic shift of forces in the natural world resulted from political deliberation and hydraulic engineering of the imperial state of the Northern Song Dynasty. It created eighty years of social suffering, economic downturn, political upheaval, and environmental changes, which reshaped the medieval North China Plain and challenged the state. Ling Zhang deftly applies textual analysis, theoretical provocation, and modern scientific data in her gripping analysis of how these momentous events altered China's physical and political landscapes and how its human communities adapted and survived. In so doing, she opens up an exciting new field of research by wedding environmental, political, economic, and social history in her examination of one of North China's most significant environmental changes.

This book aims to provide a comprehensive introduction to the theory and applications of the mechanics of transversely isotropic elastic materials. There are many reasons why it should be written. First, the theory of transversely isotropic elastic materials is an important branch of applied mathematics and engineering science; but because of the difficulties caused by anisotropy, the mathematical treatments and descriptions of individual problems have been scattered throughout the technical literature. This often hinders further development and applications. Hence, a text that can present the theory and solution methodology uniformly is necessary. Secondly, with the rapid development of modern technologies, the theory of transversely isotropic elasticity has become increasingly important. In addition to the fields with which the theory has traditionally been associated, such as civil engineering and materials engineering, many emerging technologies have demanded the development of transversely isotropic elasticity. Some immediate examples are thin film technology, piezoelectric technology, functionally gradient materials technology and those involving transversely isotropic and layered microstructures, such as multi-layer systems and tribology mechanics of magnetic recording devices. Thus a unified mathematical treatment and presentation of solution methods for a wide range of mechanics models are of primary importance to both technological and economic progress.

This book aims to provide a comprehensive introduction to the theory and applications of the mechanics of transversely isotropic elastic materials. There are many reasons why it should be written. First, the theory of transversely isotropic elastic materials is an important branch of applied mathematics and engineering science; but because of the difficulties caused by anisotropy, the mathematical treatments and descriptions of individual problems have been scattered throughout the technical literature. This often hinders further development and applications. Hence, a text that can present the theory and solution methodology uniformly is necessary. Secondly, with the rapid development of modern technologies, the theory of transversely isotropic elasticity has become increasingly important. In addition to the fields with which the theory has traditionally been associated, such as civil engineering and materials engineering, many emerging technologies have demanded the development of transversely isotropic elasticity. Some immediate examples are thin film technology, piezoelectric technology, functionally gradient materials technology and those involving transversely isotropic and layered microstructures, such as multi-layer systems and tribology mechanics of magnetic recording devices. Thus a unified mathematical treatment and presentation of solution methods for a wide range of mechanics models are of primary importance to both technological and economic progress.

The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science.

This book constitutes the refereed proceedings of the Second CCF International Conference on Artificial Intelligence, CCF-ICAI 2019, held in Xuzhou, China in August, 2019. The 23 papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications.

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

This book constitutes the refereed proceedings of the 14th Pacific Rim Conference on Artificial Intelligence, PRICAI 2016, held in Phuket, Thailand, in August 2016. The 53 regular papers and 15 short papers presented in this volume were carefully reviewed and selected from 161 submissions. Pricai covers a wide range of topics such as AI foundations; applications of AI; semantic web; information retrieval; constraint satisfaction; multimodal interaction; knowledge representation; social networks; ad-hoc networks; algorithms; software architecture; machine learning; and smart modeling and simulation.

"Quotient Space Based Problem Solving" provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.

Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing
Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence.
Provides many applications and examples in the engineering and computer science area.
Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

Natural killer (NK) cells are important effector cells of innate immune system implicated in many physiological processes including elimination of cancer cells and virus infected cells. NK cells comprise a majority of large granular lymphocytes circulating in peripheral blood with a minority derived from T cell lineage. Even though NK cells were first described more than 40 years ago, it was not until the 1980s and 1990s when immunophenotyping was incorporated into clinical diagnostic methods and resulted in discovery of distinct disorders of large granular lymphocytes and NK cells. Since then, significant progress was made in our better understanding of immunophenotypic and genotypic characteristics, biology, functions as well as disorders of these cells. Most recently, clinical studies using NK-cell based immunotherapy have shown promising results in treatment of some of malignant diseases. Disorders of large granular lymphocytes and NK cells are rare comprising only about 1% of all lymphoid malignancies in western countries. The rarity of these conditions was a main reason that the progress in our understanding of pathogenesis and development of novel therapeutic approaches has been delayed compared to development in more common B cell lymphoid malignancies. The low incidence of these diseases and scarcity of prospective clinical trials also limit the availability of evidence based research literature as well as comprehensive reviews about NK cell disorders. Thus, the editors decided to take on the challenging task and summarize our current knowledge about malignant and benign diseases of large granular lymphocytes in this book based on the best available evidence. The editors selected topics most relevant to clinical practice in order to provide a useful guide for practicing physicians. Chapters describing four disorders (T-cell large granular lymphocytic leukemia, chronic lymphoproliferative disorder of NK cells, extranodal NK cell lymphoma and aggressive NK cell leukemia) incorporated into most recent 2016 revision of classification of lymphoid malignancies are separated into experimental, diagnositc and clinical parts for easier understanding and reading. We are aware of challenges and inherited limitations of any larger project like this one due to a rapid progress especially in the field of genomics, which may not be incorporated in this book before it is published. The editors and contributing authors would like to thank the publisher NOVA for their support.

This revised and updated second edition of Handbook of Hematologic Malignancies continues to be an essential and "go-to" resource for the busy hematologist, hematologic oncologist, hematopathologist, oncology advanced practice provider, oncology nurse, and trainee. Concisely organized, each chapter provides the most current, need-to-know points of diagnosis, prognosis, therapeutic management, and clinical trial opportunities for each hematological malignancy. Chapters are complete with richly illustrated figures to highlight the hematopathologic characteristics of diseases in addition to helpful tables on differential diagnosis, prognostic scoring systems, molecular profiles, and therapeutic options. A new case-based chapter concludes the handbook with clinical cases designed to test a clinician's knowledge of pathologic diagnosis and clinical presentation of diseases covered in the book. With over twenty new FDA-approved indications since publication of the first edition, including breakthroughs with CAR-T therapy, and other evidence-based treatment options for patients with hematologic disease, this book serves as quick reference to practice changing information on challenging diagnostic dilemmas, frontline and refractory treatment scenarios, and more.The subspecialty field of hematologic oncology is ever-changing and expanding with available treatment options and this second edition keeps the busy clinician abreast of recent findings and their impact on evidence-based treatment and management. Written by experienced clinicians at the world-renowned Moffitt Cancer Center in Tampa, Florida, as well as contributions from leading academicians, hematologists, and oncologists throughout the country, this unique handbook is packed with authoritative knowledge and clinical insight into all known hematologic cancers. Key Features: Includes seven new chapters covering CAR-T and novel therapeutic options including CD19 CAR-T therapy, novel cellular therapies, cytokine release syndrome, cancer associated thrombosis, and more Comprises compact and updated disease-site chapters describing new standards of care and management considerations in bullet point format with key references Highlights important diagnostic tools that assist with conducting key differential diagnoses and unveiling answers to diagnostic dilemmas Provides updates of potential practice-changing clinical trials and paradigm shifting treatment considerations in each disease-based chapter Purchase includes digital access for use on most mobile devices or computers