Bin Li – författare

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter.

This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.

Protection Technologies of Ultra-High-Voltage AC Transmission Systems considers the latest research on UHV, UHV transmission line electromagnetic field, transmission line parameters, and tower structures, with a focus on protective relaying of UHV transmission systems. This book gives insights into protective relaying of UHV AC transmission systems and sheds light on the conundrum of protective relaying for the EHV systems. In addition, it elaborates on both traditional relaying and the application of new type current differential protection, distance protection and automatic reclosing, as well as protective schemes for transformers and reactors in UHV transmission systems.

This resource will serve as an important reference for technical personnel in network design and operation, as well as students and engineers in related engineering areas.

Bioactive Materials for Soft Tissue Regeneration covers human tissue and its classification as hard tissue such as bone and soft tissue like skin, muscle, tendon, blood vessel, nerve etc., and including organs such as heart, liver, lung. Regenerative medicine deals with both hard tissue and soft tissue regeneration and is one of the most important part of the modern medicine with significant clinical needs including general surgery, plastic surgery, burn and wound healing, cardiovascular disease treatments. Based on the authors' previous research and review of the international advances in hard tissue regeneration, this book focuses on the hard tissue regeneration using bioactive materials.Sections cover biomaterials for entire human tissue regeneration, which is key important for research and development in the field of biomedical engineering and the medical device industry. Readers will find this to be a comprehensive review of the most updated advances of the research in bioactive materials for soft tissue repair and regeneration, along with perspectives for future directions of research and development in this field.

Justice apps – mobile and web-based programmes that can assist individuals with legal tasks – are being produced, improved, and accessed at an unprecedented rate. These technologies have the potential to reshape the justice system, improve access to justice, and demystify legal institutions. Using artificial intelligence techniques, apps can even facilitate the resolution of common legal disputes.

However, these opportunities must be assessed in light of the many challenges associated with app use in the justice sector. These include the digital divide and other accessibility issues; the ethical challenges raised by the dehumanisation of legal processes; and various privacy, security, and confidentiality risks.

Surveying the landscape of this emergent industry, this book explores the objectives, opportunities, and challenges presented by apps across all areas of the justice sector. Detailed consideration is also given to the use of justice apps in specific legal contexts, including the family law and criminal law sectors. The first book to engage with justice apps, this book will appeal to a wide range of legal scholars, students, practitioners, and policy-makers.

Justice apps – mobile and web-based programmes that can assist individuals with legal tasks – are being produced, improved, and accessed at an unprecedented rate. These technologies have the potential to reshape the justice system, improve access to justice, and demystify legal institutions. Using artificial intelligence techniques, apps can even facilitate the resolution of common legal disputes.

However, these opportunities must be assessed in light of the many challenges associated with app use in the justice sector. These include the digital divide and other accessibility issues; the ethical challenges raised by the dehumanisation of legal processes; and various privacy, security, and confidentiality risks.

Surveying the landscape of this emergent industry, this book explores the objectives, opportunities, and challenges presented by apps across all areas of the justice sector. Detailed consideration is also given to the use of justice apps in specific legal contexts, including the family law and criminal law sectors. The first book to engage with justice apps, this book will appeal to a wide range of legal scholars, students, practitioners, and policy-makers.

Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.

Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

Key Features:

Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.

Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

Key Features:

Polymers have been used as dielectric materials owing to their light weight, great flexibility, and processability as well as high insulation properties. To enhance their performance for various desired dielectric applications, fabrication of polymeric nanocomposites is believed to be one of the most effective approaches. By controlling the nanomaterial dispersion and interfacial structures with the polymer matrices in nanocomposites, dielectric properties can be tailored for specific applications.

This book reviews representative polymer nanocomposite systems, focusing on the roles of nanodispersion, interfacial structures, and properties of polymer matrix materials in the dielectric properties and energy storage performance. The book reviews various dielectric relaxation models applicable to the analysis of polymer nanocomposites. It compiles the recent progress in new dielectric polymer nanocomposites based on biomaterials and hybrid nanomaterial systems for advanced dielectric applications.

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.

The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that:

Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment.

Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Loess is a product of aeolian deposition during the Quaternary glaciation cycles and covers approximately 6% of the Earth’s land. The Loess Plateau of China, which is home to a population of nearly three hundred million, has the thickest and most complete loess strata, where loess geohazards occur most frequently due to the weak geoenvironment and dense human activities. In recent years, the engineering geological characteristics of loess and geohazards in loess areas have gradually received increasing attention from academic researchers.

This book reviews an informative collection of up-to-date literature in this field. It presents the unique features of loess and loess geohazards, and provides a strong foundation for future study via eight systematically structured chapters, e.g., origin and spatial distribution, loess landforms, microstructure, physical properties, permeability, shear strength, tensile strength, and loess geohazard. It can serve as a principal reference for researchers, practical engineers and technicians who are engaged in loess geology and surface processes, and is suitable especially for undergraduate and postgraduate students in the field of loess engineering geology.

Loess is a product of aeolian deposition during the Quaternary glaciation cycles and covers approximately 6% of the Earth’s land. The Loess Plateau of China, which is home to a population of nearly three hundred million, has the thickest and most complete loess strata, where loess geohazards occur most frequently due to the weak geoenvironment and dense human activities. In recent years, the engineering geological characteristics of loess and geohazards in loess areas have gradually received increasing attention from academic researchers.

This book reviews an informative collection of up-to-date literature in this field. It presents the unique features of loess and loess geohazards, and provides a strong foundation for future study via eight systematically structured chapters, e.g., origin and spatial distribution, loess landforms, microstructure, physical properties, permeability, shear strength, tensile strength, and loess geohazard. It can serve as a principal reference for researchers, practical engineers and technicians who are engaged in loess geology and surface processes, and is suitable especially for undergraduate and postgraduate students in the field of loess engineering geology.

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.

The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that:

Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment.

Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.