This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

Here is a compilation of the research being done by scientists from various disciplines of chemistry at universities across the globe. This new volume provides a wealth of practical experience and research on new methodologies and important applications in chemical science. It also includes presentations on small-scale new drug design related projects that have potential applications in several disciplines of chemistry and in drug development. In this book, contributions range from new methods to novel applications of existing methods to enhance understanding of the material and/or structural behavior of new and advanced systems. Topics cover computational methods in chemical sciences and electrochemical investigations; studies of some of physico-chemical properties of several important novel macrocyclic ligands; the use of lanthanide-ions doped nanomaterials; quantitative estimation of heavy metals, a sustainable, efficient and green promoter for the synthesis of some heterocyclic compounds; and much more.

This book covers a range of new research on computational quantum chemistry, along with a special section devoted to exotic carbon allotropes and spiro quantum theory. The section on spiro quantum theory covers the technical presentation of the ideas surrounding the emergence of a synthetic, analytical, and theoretical spiro quantum chemistry edifice, as well as a chemical topology scheme that successfully describes molecules and patterns, including the hydrocarbons and allotropes of carbon. The second part of the book covers a range of new research on computational quantum chemistry.

One of the major areas of emphasis in the field of in chemical science and engineering technology in recent years has been interdisciplinary research, a trend that promises new insights and innovations rooted in cross-disciplinary collaboration. This volume is designed for stepping beyond traditional disciplinary boundaries and applying knowledge and insights from multiple fields. This book, Chemical Science and Engineering Technology: Perspectives on Interdisciplinary Research, provides a selection of chapters on interdisciplinary research in chemical science and engineering technology, taking a conceptual, and practical approach. The book includes case studies and supporting technologies and also explains the conceptual thinking behind current uses and potential uses not yet implemented. International experts with countless years of experience lend this volume credibility.

This new volume presents a wealth of practical experience and research on new methodologies and important applications in chemical nanotechnology. It also includes small-scale nanotechnology-related projects that have potential applications in several disciplines of chemistry and nanotechnology. In this book, contributions range from new methods to novel applications of existing methods to gain understanding of the material and/or structural behavior of new and advanced systems. Topics cover computational methods in chemical engineering and chemoinformatics, studies of some of physico-chemical properties of several important nanoalloy clusters, the use of 3D reconstruction of nanofibrous membranes, nanotechnology research for green engineering and sustainability, nanofiltration and carbon nanotubes applications in water treatment, and much more.

Recent Methodology in Chemical Sciences provides an eclectic survey of contemporary problems in experimental, theoretical, and applied chemistry. This book covers recent trends in research with the different domain of the chemical sciences. The chapters, written by knowledgeable researchers, provide different insights to the modern-day research in the domain of spectroscopy, plasma modification, and theoretical and computational analysis of chemical problems. It covers descriptions of experimental techniques, discussions on theoretical modeling, and much more.

Computational Chemistry Methodology in Structural Biology and Materials Sciences provides a selection of new research in theoretical and experimental chemistry, focusing on topics in the materials science and biological activity. Part 1, on Computational Chemistry Methodology in Biological Activity, of the book emphasizes presents new developments in the domain of theoretical and computational chemistry and its applications to bioactive molecules. It looks at various aspects of density functional theory and other issues. Part 2, on Computational Chemistry Methodology in Materials Science, presents informative new research on computational chemistry as applied to materials science. The wide range of topics regarding the application of theoretical and experimental chemistry and materials science and biological domain will be valuable in the context of addressing contemporary research problems.

This new volume presents a wealth of practical experience and research on new methodologies and important applications in chemical nanotechnology. It also includes small-scale nanotechnology-related projects that have potential applications in several disciplines of chemistry and nanotechnology. In this book, contributions range from new methods to novel applications of existing methods to gain understanding of the material and/or structural behavior of new and advanced systems. Topics cover computational methods in chemical engineering and chemoinformatics, studies of some of physico-chemical properties of several important nanoalloy clusters, the use of 3D reconstruction of nanofibrous membranes, nanotechnology research for green engineering and sustainability, nanofiltration and carbon nanotubes applications in water treatment, and much more.

Recent Methodology in Chemical Sciences provides an eclectic survey of contemporary problems in experimental, theoretical, and applied chemistry. This book covers recent trends in research with the different domain of the chemical sciences. The chapters, written by knowledgeable researchers, provide different insights to the modern-day research in the domain of spectroscopy, plasma modification, and theoretical and computational analysis of chemical problems. It covers descriptions of experimental techniques, discussions on theoretical modeling, and much more.

Here is a compilation of the research being done by scientists from various disciplines of chemistry at universities across the globe. This new volume provides a wealth of practical experience and research on new methodologies and important applications in chemical science. It also includes presentations on small-scale new drug design related projects that have potential applications in several disciplines of chemistry and in drug development. In this book, contributions range from new methods to novel applications of existing methods to enhance understanding of the material and/or structural behavior of new and advanced systems. Topics cover computational methods in chemical sciences and electrochemical investigations; studies of some of physico-chemical properties of several important novel macrocyclic ligands; the use of lanthanide-ions doped nanomaterials; quantitative estimation of heavy metals, a sustainable, efficient and green promoter for the synthesis of some heterocyclic compounds; and much more.

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

One of the major areas of emphasis in the field of in chemical science and engineering technology in recent years has been interdisciplinary research, a trend that promises new insights and innovations rooted in cross-disciplinary collaboration. This volume is designed for stepping beyond traditional disciplinary boundaries and applying knowledge and insights from multiple fields. This book, Chemical Science and Engineering Technology: Perspectives on Interdisciplinary Research, provides a selection of chapters on interdisciplinary research in chemical science and engineering technology, taking a conceptual, and practical approach. The book includes case studies and supporting technologies and also explains the conceptual thinking behind current uses and potential uses not yet implemented. International experts with countless years of experience lend this volume credibility.

Spiro Quantum Chemistry is a popular as well as technical presentation of the ideas surrounding the emergence of a synthetic, analytical, and theoretical spiro quantum chemistry edifice, as well as a chemical topology scheme that successfully describes molecules and patterns, including the hydrocarbons and allotropes of carbon. In particular, the purpose of this book is to describe the generalization and realization of the organic chemistry concept of spiroconjugation into 1-, 2- and 3-dimensions. The book is divided into three parts: The first part describes spiroconjugation and presents a C lattice that exhibits the spiroconjugation phenomena in fully 3-dimensions. It also described the corresponding 1-dimensional substructures of this lattice that exhibit spiroconjugation delocalized in 1-D. The second part presents experimental evidence for the synthetic realization of this so-called glitter allotrope of C that is spiroconjugated in 3-D, and present evidence why this synthetically realized C allotrope has a metallic status. The third part describes the chemical topology of the glitter C allotrope and of the other commonly known allotropes of C.This chemical topology enables one to map the C allotropes, including glitter, in a topology space allowing one to classify them. This unique book provides insights into the potential richness of organic chemistry in terms of a source of a metallic allotrope of C. The reader will learn to appreciate the generalization of the spiroconjugation phenomenon in 1-D, 2-D, and 3D as a concept in organic chemistry.

This book constitutes selected and revised papers from the First International Workshop on Combating On line Ho st ile Posts in Regional Languages dur ing Emerge ncy Si tuation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Computational Chemistry Methodology in Structural Biology and Materials Sciences provides a selection of new research in theoretical and experimental chemistry, focusing on topics in the materials science and biological activity. Part 1, on Computational Chemistry Methodology in Biological Activity, of the book emphasizes presents new developments in the domain of theoretical and computational chemistry and its applications to bioactive molecules. It looks at various aspects of density functional theory and other issues. Part 2, on Computational Chemistry Methodology in Materials Science, presents informative new research on computational chemistry as applied to materials science. The wide range of topics regarding the application of theoretical and experimental chemistry and materials science and biological domain will be valuable in the context of addressing contemporary research problems.