Hong Zhu – författare

Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records. Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment integrates probabilistic approaches with the geotechnical modeling of slope failures under rainfall conditions with unsaturated soil. It covers theoretical models of rainfall infiltration and stability analysis, reliability analysis based on coupled hydro-mechanical modelling, stability of slopes with cracks, gravels and spatial heterogenous soils, and probabilistic model calibration based on measurement. It focuses on the uncertainties involved with rainfall-induced landslides and presents state-of-the art techniques and methods which characterize the uncertainties and quantify the probabilities and risk of rainfall-induced landslide hazards.Additionally, the authors cover: The failure mechanisms of rainfall-induced slope failureCommonly used infiltration and stability methodsThe infiltration and stability of natural soil slopes with cracks and colluvium materialsStability evaluation methods based on probabilistic approachesThe effect of spatial variability on unsaturated soil slopes and more

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT, and provides sample size formulas, sensitivity analyses, and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family, including continuous, binary, and count variables. Experimental designs that have been frequently employed in PCTs will be discussed, including cluster randomized designs, matched-pair cluster randomized design, stratified cluster randomized design, stepped-wedge cluster randomized design, longitudinal cluster randomized design, and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures, different missing data patterns, randomly varying cluster sizes, etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues, facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design.Key Features: Discuss the advantages and disadvantages of each type of PCTs, and provide sample size formulas, sensitivity analyses, and examples. Address an unmet need for guidance books on sample size calculations for PCTs; A wide variety of experimental designs adopted by PCTs are covered; The sample size solutions can be readily implemented due to the accommodation of common pragmatic issues encountered in real-world practice; Useful to both academic and industrial biostatisticians involved in clinical trial design; Can be used as a textbook for graduate students majoring in statistics and biostatistics.

Software Design Methodology explores the theory of software architecture, with particular emphasis on general design principles rather than specific methods. This book provides in depth coverage of large scale software systems and the handling of their design problems. It will help students gain an understanding of the general theory of design methodology, and especially in analysing and evaluating software architectural designs, through the use of case studies and examples, whilst broadening their knowledge of large-scale software systems.This book shows how important factors, such as globalisation, modelling, coding, testing and maintenance, need to be addressed when creating a modern information system. Each chapter contains expected learning outcomes, a summary of key points and exercise questions to test knowledge and skills. Topics range from the basic concepts of design to software design quality; design strategies and processes; and software architectural styles. Theory and practice are reinforced with many worked examples and exercises, plus case studies on extraction of keyword vector from text; design space for user interface architecture; and document editor.Software Design Methodology is intended for IT industry professionals as well as software engineering and computer science undergraduates and graduates on Msc conversion courses.

This edited book emerges from the observation that the current literatures on migration in China are constrained by a series of shortfalls, including a relative topical homogeneity centred on domestic labour migration; relatively narrowly conceived and institutionalist conceptions of migration and migrants, without adequate attention paid to the identities, agencies and everyday experiences of migrants; and finally a lack of engagement with theoretical models and paradigms in the broad discipline of migration studies. Assembling eight fine-grained research works engaging with a broad variety of migratory trajectories and experiences, this book addresses these shortfalls by: (1) investigating diverse forms of domestic and transnational migration in and to China; (2) problematising, rethinking and innovating well-established analytical tools and categories to move beyond their epistemological fixity and highlight their socially and dynamically constructed nature; and (3) underscoring the centrality of identity, subjectivity and everyday experiences, rather than mechanical causality between institutions and migration outcomes, to theoretical understandings of migration in China. It will be of interest to researchers and advanced students of Sociology, Politics, Human Geography, Social Work and Urban Studies. This book was originally published as a special issue of the Journal of Ethnic and Migration Studies.

This edited book emerges from the observation that the current literatures on migration in China are constrained by a series of shortfalls, including a relative topical homogeneity centred on domestic labour migration; relatively narrowly conceived and institutionalist conceptions of migration and migrants, without adequate attention paid to the identities, agencies and everyday experiences of migrants; and finally a lack of engagement with theoretical models and paradigms in the broad discipline of migration studies. Assembling eight fine-grained research works engaging with a broad variety of migratory trajectories and experiences, this book addresses these shortfalls by: (1) investigating diverse forms of domestic and transnational migration in and to China; (2) problematising, rethinking and innovating well-established analytical tools and categories to move beyond their epistemological fixity and highlight their socially and dynamically constructed nature; and (3) underscoring the centrality of identity, subjectivity and everyday experiences, rather than mechanical causality between institutions and migration outcomes, to theoretical understandings of migration in China. It will be of interest to researchers and advanced students of Sociology, Politics, Human Geography, Social Work and Urban Studies. This book was originally published as a special issue of the Journal of Ethnic and Migration Studies.

Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records. Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment integrates probabilistic approaches with the geotechnical modeling of slope failures under rainfall conditions with unsaturated soil. It covers theoretical models of rainfall infiltration and stability analysis, reliability analysis based on coupled hydro-mechanical modelling, stability of slopes with cracks, gravels and spatial heterogenous soils, and probabilistic model calibration based on measurement. It focuses on the uncertainties involved with rainfall-induced landslides and presents state-of-the art techniques and methods which characterize the uncertainties and quantify the probabilities and risk of rainfall-induced landslide hazards.Additionally, the authors cover: The failure mechanisms of rainfall-induced slope failureCommonly used infiltration and stability methodsThe infiltration and stability of natural soil slopes with cracks and colluvium materialsStability evaluation methods based on probabilistic approachesThe effect of spatial variability on unsaturated soil slopes and more

This research project has been supported by the Ford Foundation, the Lynch School of Education at Boston College, and the Program of Research on Private Higher Education at the University at Albany.

This research project has been supported by the Ford Foundation, the Lynch School of Education at Boston College, and the Program of Research on Private Higher Education at the University at Albany.

Cyberspace in increasingly important to people in their everyday lives for purchasing goods on the Internet, to energy supply increasingly managed remotely using Internet protocols. Unfortunately, this dependence makes us susceptible to attacks from nation states, terrorists, criminals and hactivists. Therefore, we need a better understanding of cyberspace, for which patterns, which are predictable regularities, may help to detect, understand and respond to incidents better. The inspiration for the workshop came from the existing work on formalising design patterns applied to cybersecurity, but we also need to understand the many other types of patterns that arise in cyberspace.

Cyberspace in increasingly important to people in their everyday lives for purchasing goods on the Internet, to energy supply increasingly managed remotely using Internet protocols. Unfortunately, this dependence makes us susceptible to attacks from nation states, terrorists, criminals and hactivists. Therefore, we need a better understanding of cyberspace, for which patterns, which are predictable regularities, may help to detect, understand and respond to incidents better. The inspiration for the workshop came from the existing work on formalising design patterns applied to cybersecurity, but we also need to understand the many other types of patterns that arise in cyberspace.