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This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.

This book provides a comprehensive view of cyber operations, analysis and targeting, including operational examples viewed through a lens of conceptual models available in current technical and policy literature. Readers will gain a better understanding of how the current cyber environment developed, as well as how to describe it for future defense. The author describes cyber analysis first as a conceptual model, based on well-known operations that span from media to suspected critical infrastructure threats. He then treats the topic as an analytical problem, approached through subject matter interviews, case studies and modeled examples that provide the reader with a framework for the problem, developing metrics and proposing realistic courses of action.Provides first book to offer comprehensive coverage of cyber operations, analysis and targeting;Pulls together the various threads that make up current cyber issues, including information operations to confidentiality, integrity and availability attacks;Uses a graphical, model based, approach to describe as a coherent whole the development of cyber operations policy and leverage frameworks;Provides a method for contextualizing and understanding cyber operations.

This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022. The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstracts of 5 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: properties of drawings of complete graphs; stress-based visualizations of graphs; planar and orthogonal drawings; drawings and properties of directed graphs; beyond planarity; dynamic graph visualization; linear layouts; and contact and visibility graph representations.

This textbook is designed for students of biology, molecular biology, ecology,medicine, agriculture, forestry and other professions where the knowledge of organic chemistry plays an important role. The work may also be of interest to non-professionals, as well as to teachers in high schools. The book consists of 13 chapters that cover the essentials of organic chemistry, including - basic principles of structure and constitution of organic compounds, - the elements of the nomenclature, - the concepts of the nature of chemical bond, - introductions in NMR and IR spectroscopy, - the concepts and main classes of the organic reaction mechanisms, - reactions and properties of common classes or organic compounds, - and the introduction to the chemistry of the natural organic products followed by basic principles of the reactions in living cells. This second edition includes revisions and suggestions made by the readers of the first edition and the author's colleagues. In addition, it includes substantial changes compared to the first edition. The chapter on Cycloaddition has been completed by including the other pericyclic reactions (sigmatropic rearrangements, electrocyclic reactions). The chapter on Organic Natural Products has been extended to include new section covering the principles of organic synthesis. New chapter "Organic Supramolecular and Supermolecular Structures" is added. This chapter covers the basic knowledge about the molecular recognition, supramolecular structures, and the mechanisms of the enzyme catalyzed reactions.

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Increasing attention and representation of multiraciality in both the scholarly literature and popular culture warrants further nuancing of what is understood about multiracial people, particularly in the changing contexts of higher education. This book offers a way of Preparing Higher Education for its Mixed Race Future by examining Why Multiraciality Matters. In preparation, the book highlights recent contributions in scholarship ¿ both empirical studies and scholarly syntheses ¿ on multiracial students, staff, and faculty/scholars across three separate yet interrelated parts, which will help spur the continued evolution of multiraciality into the future.