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                <text>This open access book is a comprehensive examination of how artificial intelligence (AI) is transforming the field of social work across practice, education, and research. This topic is particularly important to the field at this time due to the rapid integration of AI technologies into societal structures and the increasing demand for social services that are efficient, effective, and ethically sound. The book provides timely insights into how AI can be harnessed to address complex social issues while maintaining the core values of social work. It emphasizes the critical need for professionals to understand and navigate the ethical implications of AI, ensuring that technological advancements serve to enhance, rather than compromise, human well-being.&#13;
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Organized into five parts, the book begins with a foundational overview in Part I, introducing the role of AI in transforming social work. Part II explores AI applications responding to social needs, covering critical areas such as poverty, child welfare, health care, mental health, substance abuse, support for older adults, communities at risk, criminal justice, and human trafficking prevention. Part III delves into AI's impact on social justice in changing contexts, including advocacy, environmental challenges, the evolving workplace, and international issues. Part IV focuses on AI in social work education and research, highlighting how AI tools enhance learning and scholarly inquiry. Part V addresses ethical considerations and future directions, discussing challenges, governance, and strategies for building AI literacy, culminating in a conclusion that outlines opportunities for AI in social work.&#13;
&#13;
Artificial Intelligence in Social Work: Bridging Technology and Humanity equips social work practitioners, educators, researchers, and students with a deep understanding of AI's capabilities and implications within various social work domains. The book offers practical guidance on integrating AI into various aspects of social work practice, enhancing service delivery, and improving client outcomes. For educators and students, it provides a framework for incorporating AI literacy into social work curricula, preparing the next generation of professionals for a technologically advanced landscape. Researchers benefit from insights into innovative methodologies that leverage AI for more robust and impactful studies. By intertwining technological advancements with the human-centric values of social work, the book underscores the necessity of balancing innovation with compassion and ethical responsibility.</text>
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                <text>This open access book contains eight chapters that deal with database technologies, including the development history of databases, database fundamentals, introduction to SQL syntax, classification of SQL syntax, database security fundamentals, database development environment, database design fundamentals, and the application of Huawei’s cloud database product, GaussDB.&#13;
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This book can be used as a textbook for database courses in colleges and universities and is also suitable as a reference book for the HCIA-GaussDB V1.5 certification examination. The Huawei GaussDB (for MySQL) used in the book is a Huawei cloud-based, high-performance, highly applicable relational database that fully supports the syntax and functionality of the open-source database MySQL. All the experiments in this book can be run on this database platform.&#13;
&#13;
As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cybersecurity, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.</text>
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                <text>​The second edition of Management by Missions is an open-access book based on substantially more research carried out over fifteen years, involving more than 200 organizations around the world. All of this research supports that the practical models and ideas offered in the book have been tried and tested and actually work in practice.&#13;
&#13;
With case studies, anecdotes, and new research findings, the authors present the main tools of the MBM method (shared missions, missions scorecards, interdependency matrix, missions-based objectives, and integral assessment) and the type of leadership needed to implement it. The ideas presented in this book mark a path towards a new management methodology for the XXI century and a new way of understanding the work that managers do. </text>
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                <text>In the undergraduate study of computer science, a lecturer only teaches some things that are in the literature (most likely in an open access textbook). That knowledge may have been discovered before, several decades ago. A student is deemed to be good if they have perfectly finished assignments and have prepared well for their examinations. As an example, those students can easily get high grades for all fundamental courses (e.g., programming courses, linear algebra, probability and statistics, data structures, and design and analysis of algorithms) if they have worked extremely hard on the exercises that are provided in those open-access textbooks or in class.&#13;
&#13;
Therefore, the undergraduate students do not need to have creativity (e.g., establish new knowledge) for obtaining an undergraduate degree. &#13;
All they need to do is to consolidate their foundation. However, the most critical transition from undergraduate study to postgraduate study is to create new knowledge, which advances the state of the art in the computer science field. Moreover, postgraduate students need to write papers in a logical way (by telling a great story) so that other reviewers can accept them. In order to accomplish these two tasks, students need to change their mindsets for adapting to this new environment.&#13;
&#13;
 In this open access book, we discuss this main theme in detail to analyze the common mistakes that are easily made by new students and show the correct methodology for reading/writing papers. With this methodology, we believe that those students who are dedicated to computer science research can be very productive for publishing top-tier papers.</text>
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                <text>Innovating Business and Education for Sustainable Development</text>
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                <text> Sustainable Business Development (SBD)</text>
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                <text>In a world where sustainability is no longer optional, this open access volume explores how business, education, and society can evolve together toward a more resilient and responsible future. This comprehensive volume brings together thought leaders, researchers, and practitioners from around the globe to explore strategies in sustainable marketing and business model innovation. Delving into the circular economy and environmental innovation.&#13;
&#13;
 Part 1 provides practical frameworks and visionary insights, from digital transformation in Vietnam to regenerative ecosystem thinking and circular breweries. Part 2 turns to the social dimension of sustainability—examining job-related well-being, social ventures with dual missions, and the rise of senior women entrepreneurs in India. From Chinese online platforms in Switzerland to nearshoring in Central Eastern Europe, Part 3 dissects the shifting landscape of sustainable commerce. Part 4 focuses on governance and sustainability reporting. Finally, part 5 highlights transformative approaches to education for economic and sustainable development.&#13;
 &#13;
With real-world case studies—from IT service-learning in rural South Africa to design thinking in business education—chapters in this part showcase the power of collaboration between universities and businesses to shape future-ready professionals.</text>
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