Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph structure. Valued graph allows one to incorporate the connections or links among the population units in addition. The links may provide effectively access to the part of population that is the primary target, which is the case for many unconventional sampling methods, such as indirect, network, line-intercept or adaptive cluster sampling. Or, one may be interested in the structure of the connections, in terms of the corresponding graph properties or parameters, such as when various breadth- or depth-first non-exhaustive search algorithms are applied to obtain compressed views of large often dynamic graphs. Graph sampling provides a statistical approach to study real graphs from either of these perspectives. It is based on exploring the variation over all possible sample graphs (or subgraphs) which can be taken from the given population graph, by means of the relevant known sampling probabilities. The resulting design-based inference is valid whatever the unknown properties of the given real graphs. One-of-a-kind treatise of multidisciplinary topics relevant to statistics, mathematics and data science. Probabilistic treatment of breadth-first and depth-first non-exhaustive search algorithms in graphs. Presenting cutting-edge theory and methods based on latest research. Pathfinding for future research on sampling from real graphs. Graph Sampling can primarily be used as a resource for researchers working with sampling or graph problems, and as the basis of an advanced course for post-graduate students in statistics, mathematics and data science.

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

The China-EC/EU relationship, started in 1975, is a highly institutionalized, multidimensional and complex, but to some extent controversial international partnership. It is also challenged within the current unstable world. This book addresses the convergences and the differences (ideational, political, institutional and interests-related) between China and the EU by a collective interaction between Chinese and European scholars. Among other things the book assesses sectoral bilateral dialogue and focuses on the interplay between internal complexity and external policies, discusses ideational divergences in international law and rule of law and in many relevant policy fields. Furthermore, it compares sustainable growth policies; explores trade and investment controversies and negotiations, human rights dialogue; and addresses environment and climate change policies. This text will be of key interest to EU studies and politics, China studies and more broadly to area/Asian studies and international relations/global governance.

The China-EC/EU relationship, started in 1975, is a highly institutionalized, multidimensional and complex, but to some extent controversial international partnership. It is also challenged within the current unstable world. This book addresses the convergences and the differences (ideational, political, institutional and interests-related) between China and the EU by a collective interaction between Chinese and European scholars. Among other things the book assesses sectoral bilateral dialogue and focuses on the interplay between internal complexity and external policies, discusses ideational divergences in international law and rule of law and in many relevant policy fields. Furthermore, it compares sustainable growth policies; explores trade and investment controversies and negotiations, human rights dialogue; and addresses environment and climate change policies. This text will be of key interest to EU studies and politics, China studies and more broadly to area/Asian studies and international relations/global governance.

This book focuses on CFD (Computational Fluid Dynamics) techniques and the recent developments and research works in thermo-mechanics applications. It is devoted to the publication of basic and applied studies broadly related to this area. The chapters present the development of numerical methods, computational techniques, and case studies in the thermo-mechanics applications. They offer the fundamental knowledge for using CFD in real thermo-mechanics applications and complex flow problems through new technical approaches. Also, they discuss the steps in the CFD process and provide benefits and issues when using the CFD analysis in understanding of complicated flow phenomena and its use in the design process. The best practices for reducing errors and uncertainties in CFD analysis are also discussed. The presented case studies and development approaches aim to provide the readers, such as engineers and PhD students, the fundamentals of CFD prior to embarking on any real simulation project. Additionally, engineers supporting or being supported by CFD analysts can benefit from this book.

This book focuses on the dissemination of information of permanent interest in thermo-mechanics applications and engineering technology. Contributions have clear relevance to industrial device and a relatively straightforward or feasible path to application. Chapters are sought that have long-term relevance to specific applications including convective heat transfer, fluid mechanics, combustion, aerodynamics, hydrodynamics, turbomachinery and multi-phase flows. In fact, many aspects in industrial operations and daily life are closely related to thermo-mechanics processes. Along with the development of computer industry and the advancement of numerical methods, solid foundation in both hardware and software has been established to study the processes by using numerical simulation methods, which play important roles in the ways of extending research topics, reducing research costs, discovering new phenomena, and developing new technologies. The presented case studies and development approaches aim to provide the readers, such as engineers and PhD students, with basic and applied studies broadly related to the Thermo-Mechanics Applications and Engineering Technology.

This book focuses on CFD (Computational Fluid Dynamics) techniques and the recent developments and research works in energy applications. It is devoted to the publication of basic and applied studies broadly related to this area. The chapters present the development of numerical methods, computational techniques, and case studies in the energy applications. Also, they offer the fundamental knowledge for using CFD in energy applications through new technical approaches. Besides, they describe the CFD process steps and provide benefits and issues for using CFD analysis in understanding the flow complicated phenomena and its use in the design process. The best practices for reducing errors and uncertainties in the CFD analysis are further described. The book reveals not only the recent advances and future research trends of CFD Techniques but also provides the reader with valuable information about energy applications. It aims to provide the readers, such as engineers and PhD students, with the fundamentals of CFD prior to embarking on any real simulation project. Additionally, engineers supporting or being supported by CFD analysts can take advantage from the information of the book's different chapters.

This book focuses on CFD (Computational Fluid Dynamics) techniques and the recent developments and research works in energy applications. It is devoted to the publication of basic and applied studies broadly related to this area. The chapters present the development of numerical methods, computational techniques, and case studies in the energy applications. Also, they offer the fundamental knowledge for using CFD in energy applications through new technical approaches. Besides, they describe the CFD process steps and provide benefits and issues for using CFD analysis in understanding the flow complicated phenomena and its use in the design process. The best practices for reducing errors and uncertainties in the CFD analysis are further described. The book reveals not only the recent advances and future research trends of CFD Techniques but also provides the reader with valuable information about energy applications. It aims to provide the readers, such as engineers and PhD students, with the fundamentals of CFD prior to embarking on any real simulation project. Additionally, engineers supporting or being supported by CFD analysts can take advantage from the information of the book's different chapters.

This book focuses on the dissemination of information of permanent interest in thermo-mechanics applications and engineering technology. Contributions have clear relevance to industrial device and a relatively straightforward or feasible path to application. Chapters are sought that have long-term relevance to specific applications including convective heat transfer, fluid mechanics, combustion, aerodynamics, hydrodynamics, turbomachinery and multi-phase flows. In fact, many aspects in industrial operations and daily life are closely related to thermo-mechanics processes. Along with the development of computer industry and the advancement of numerical methods, solid foundation in both hardware and software has been established to study the processes by using numerical simulation methods, which play important roles in the ways of extending research topics, reducing research costs, discovering new phenomena, and developing new technologies. The presented case studies and development approaches aim to provide the readers, such as engineers and PhD students, with basic and applied studies broadly related to the Thermo-Mechanics Applications and Engineering Technology.

This book focuses on CFD (Computational Fluid Dynamics) techniques and the recent developments and research works in thermo-mechanics applications. It is devoted to the publication of basic and applied studies broadly related to this area. The chapters present the development of numerical methods, computational techniques, and case studies in the thermo-mechanics applications. They offer the fundamental knowledge for using CFD in real thermo-mechanics applications and complex flow problems through new technical approaches. Also, they discuss the steps in the CFD process and provide benefits and issues when using the CFD analysis in understanding of complicated flow phenomena and its use in the design process. The best practices for reducing errors and uncertainties in CFD analysis are also discussed. The presented case studies and development approaches aim to provide the readers, such as engineers and PhD students, the fundamentals of CFD prior to embarking on any real simulation project. Additionally, engineers supporting or being supported by CFD analysts can benefit from this book.

This book investigates the expanding involvement of China in security cooperation in Africa. Drawing on leading and emerging scholars in the field, the volume uses a combination of analytical insights and case studies to unpack the complexity of security challenges confronting China and the continent. It interrogates how security considerations impact upon the growing economic and social links China has developed with African states.

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

Effective Education for All deals with cultural-linguistic diversity and how to work in classrooms with culturally and linguistically diverse (CLD) students. It is essential reading for teachers, administrators, parents of CLD students, and policy makers if we are to continue to see progress and success from our graduates. This book is both practical and helpful for educators and their schools in offering Positive Behavior Support (PBS), illustrating key steps in understanding the problem and research on cultural-linguistic diversity. The authors offer resources to help educators and their families to understand the failures and successes with these students within the context of their particular schools and communities. What works with one group and age cohort may change as students develop within local and regional contexts.

This timely book takes a critical look at the teaching of English, showing how language is used to create hierarchies of cultural privilege in public schools across the country. Motha closely examines the work of four ESL teachers who developed anti-racist pedagogical practises during their first year of teaching. Their experiences, and those of their students, provide a compelling account of how new teachers might gain agency for culturally responsive teaching in spite of school cultures that often discourage such approaches. The author combines current research with her original analyses to shed light on real classroom situations faced by teachers of linguistically diverse populations. This book will help pre- and in-service teachers to think about such challenges as differential achievement between language learners and "native-speakers;" about hierarchies of languages and language varieties; about the difference between an accent identity and an incorrect pronunciation; and about the use of students' first languages in English classes. This resource offers implications for classroom teaching, educational policy, school leadership, and teacher preparation, including reflection questions at the end of each chapter.

The Advanced Methods series is intended for advanced undergraduates, graduate students and established research scientists. Titles in the series are designed to cover current important areas of research in life sciences, and include both theoretical background and detailed protocols. The aim is to give researchers sufficient theory, supported by references, to take the given protocols and adapt them to their particular experimental systems. Since the first successful isolation and cultivation of human embryonic stem cells at the University of Wisconsin - Madison in 1998, there have been high levels of both interest and controversy in this area of research. This book provides a concise overview of an exciting field, covering the characteristics of both human embryonic stem cells and pluripotent stem cells from other human cell lineages. The following chapters describe state-of-the-art differentiation and characterization of specific ectoderm, mesoderm and endoderm-derived lineages from human embryonic stem cells, emphasizing how these can be used to study human developmental mechanisms. A further chapter discusses genetic manipulation of human ES cells. The concluding section covers therapeutic applications of human ES cells, as well as addresses the ethical and legal issues that this research has raised.