This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle.

The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.

The key features of this book are:

•Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.

This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields.

Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.

The key features of this book are:

•Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.

This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields.

Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.

Plasmonics stems from the surface charge density oscillations at metal–dielectric interface, leading to extremely strong light–matter interactions. In the past few decades, plasmonics has become one of the most favorite fields/techniques in realizing high-performance photonic devices. For this purpose, different new concepts, such as exploration of different radiation frequency regions, two-dimensional materials/heterostructures, and different types of substrates for the excitation of plasmons have been investigated for plasmonics-based sensors and detectors. This book focuses on the recent and advanced works on optical sensors and detectors utilizing plasmonic techniques for opto-electronic applications. The book is unique as it describes both sensors and detectors based on plasmonics and their practical applications in a single book, a feature not found in any book so far.

Plasmonics stems from the surface charge density oscillations at metal–dielectric interface, leading to extremely strong light–matter interactions. In the past few decades, plasmonics has become one of the most favorite fields/techniques in realizing high-performance photonic devices. For this purpose, different new concepts, such as exploration of different radiation frequency regions, two-dimensional materials/heterostructures, and different types of substrates for the excitation of plasmons have been investigated for plasmonics-based sensors and detectors. This book focuses on the recent and advanced works on optical sensors and detectors utilizing plasmonic techniques for opto-electronic applications. The book is unique as it describes both sensors and detectors based on plasmonics and their practical applications in a single book, a feature not found in any book so far.

From the fraught world of geopolitics to business and the academy, it’s more vital than ever that Westerners and East Asians understand how each other thinks. As Jin Li shows in this groundbreaking work, the differences run deep. Li explores the philosophical origins of the concept of self in both cultures and synthesizes her findings with cutting-edge psychological research to reveal a fundamental contrast.

Westerners tend to think of the self as being, as a stable entity fixed in time and place. East Asians think of the self as relational and embedded in a process of becoming. The differences show in our intellectual traditions, our vocabulary, and our grammar. They are even apparent in our politics: the West is more interested in individual rights and East Asians in collective wellbeing. Deepening global exchanges may lead to some blurring and even integration of these cultural tendencies, but research suggests that the basic self-models, rooted in long-standing philosophies, are likely to endure.

The Self in the West and East Asia is an enriching and enlightening account of a crucial subject at a time when relations between East and West have moved center-stage in international affairs.

DNA-encoded libraries have numerous advantages over traditional screening methods, including easy identification of compounds and the large quantity of compounds that can be screened simultaneously.

This book provides a comprehensive guide to the implementation of DNA-encoded library technology (DELT) in drug discovery for screening and hit validation, illustrated with successful case studies.

A valuable resource for researchers in drug discovery, this book is complete with successful case studies to illustrate the best practice in implementation and operation of DELT.

DNA-encoded libraries have numerous advantages over traditional screening methods, including easy identification of compounds and the large quantity of compounds that can be screened simultaneously.

This book provides a comprehensive guide to the implementation of DNA-encoded library technology (DELT) in drug discovery for screening and hit validation, illustrated with successful case studies.

A valuable resource for researchers in drug discovery, this book is complete with successful case studies to illustrate the best practice in implementation and operation of DELT.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle.

The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.

The key features of this book are:

•Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.

This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields.

Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.

The key features of this book are:

•Systematically introducing major components of SPM process.•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.•Predictive accuracy-based parameter/model optimization.•Reproducible examples for SPM of various data types in R.

This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields.

Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.

Plasmonics stems from the surface charge density oscillations at metal–dielectric interface, leading to extremely strong light–matter interactions. In the past few decades, plasmonics has become one of the most favorite fields/techniques in realizing high-performance photonic devices. For this purpose, different new concepts, such as exploration of different radiation frequency regions, two-dimensional materials/heterostructures, and different types of substrates for the excitation of plasmons have been investigated for plasmonics-based sensors and detectors. This book focuses on the recent and advanced works on optical sensors and detectors utilizing plasmonic techniques for opto-electronic applications. The book is unique as it describes both sensors and detectors based on plasmonics and their practical applications in a single book, a feature not found in any book so far.

Plasmonics stems from the surface charge density oscillations at metal–dielectric interface, leading to extremely strong light–matter interactions. In the past few decades, plasmonics has become one of the most favorite fields/techniques in realizing high-performance photonic devices. For this purpose, different new concepts, such as exploration of different radiation frequency regions, two-dimensional materials/heterostructures, and different types of substrates for the excitation of plasmons have been investigated for plasmonics-based sensors and detectors. This book focuses on the recent and advanced works on optical sensors and detectors utilizing plasmonic techniques for opto-electronic applications. The book is unique as it describes both sensors and detectors based on plasmonics and their practical applications in a single book, a feature not found in any book so far.

From the fraught world of geopolitics to business and the academy, it’s more vital than ever that Westerners and East Asians understand how each other thinks. As Jin Li shows in this groundbreaking work, the differences run deep. Li explores the philosophical origins of the concept of self in both cultures and synthesizes her findings with cutting-edge psychological research to reveal a fundamental contrast.

Westerners tend to think of the self as being, as a stable entity fixed in time and place. East Asians think of the self as relational and embedded in a process of becoming. The differences show in our intellectual traditions, our vocabulary, and our grammar. They are even apparent in our politics: the West is more interested in individual rights and East Asians in collective wellbeing. Deepening global exchanges may lead to some blurring and even integration of these cultural tendencies, but research suggests that the basic self-models, rooted in long-standing philosophies, are likely to endure.

The Self in the West and East Asia is an enriching and enlightening account of a crucial subject at a time when relations between East and West have moved center-stage in international affairs.

DNA-encoded libraries have numerous advantages over traditional screening methods, including easy identification of compounds and the large quantity of compounds that can be screened simultaneously.

This book provides a comprehensive guide to the implementation of DNA-encoded library technology (DELT) in drug discovery for screening and hit validation, illustrated with successful case studies.

A valuable resource for researchers in drug discovery, this book is complete with successful case studies to illustrate the best practice in implementation and operation of DELT.

DNA-encoded libraries have numerous advantages over traditional screening methods, including easy identification of compounds and the large quantity of compounds that can be screened simultaneously.

This book provides a comprehensive guide to the implementation of DNA-encoded library technology (DELT) in drug discovery for screening and hit validation, illustrated with successful case studies.

A valuable resource for researchers in drug discovery, this book is complete with successful case studies to illustrate the best practice in implementation and operation of DELT.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018.