1 10 512 https://www.repository.gctu.edu.gh/files/original/6e7341e0794626b2454fb362615243fa.pdf 65192e1842b0b8cb6d84f91e40c6df96 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Graduate Course in Applied Cryptography Creator An entity primarily responsible for making the resource Dan Boneh, Victor Shoup Description An account of the resource Cryptography is an indispensable tool used to protect information in computing systems. It is used everywhere and by billions of people worldwide on a daily basis. It is used to protect data at rest and data in motion. Cryptographic systems are an integral part of standard protocols, most notably the Transport Layer Security (TLS) protocol, making it relatively easy to incorporate strong encryption into a wide range of applications. While extremely useful, cryptography is also highly brittle. The most secure cryptographic system can be rendered completely insecure by a single specification or programming error. No amount of unit testing will uncover a security vulnerability in a cryptosystem. Instead, to argue that a cryptosystem is secure, we rely on mathematical modeling and proofs to show that a particular system satisfies the security properties attributed to it. We often need to introduce certain plausible assumptions to push our security arguments through. This book is about exactly that: constructing practical cryptosystems for which we can argue security under plausible assumptions. The book covers many constructions for different tasks in cryptography. For each task we define a precise security goal that we aim to achieve and then present constructions that achieve the required goal. To analyze the constructions, we develop a unified framework for doing cryptographic proofs. A reader who masters this framework will be capable of applying it to new constructions that may not be covered in the book. Subject The topic of the resource Cryptography, Information Security Publisher An entity responsible for making the resource available Stanford University Date A point or period of time associated with an event in the lifecycle of the resource 2023 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This resource is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text https://www.repository.gctu.edu.gh/files/original/fda39897b5038ec6884c65fdb461cd3b.pdf 06825e10fd7d62c21b151d5ca9d6e643 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Data Center as a Computer: Designing Warehouse-Scale Machines Creator An entity primarily responsible for making the resource Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan Description An account of the resource This book examines how warehouse-scale computers treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, as well as the characteristics of their software base. Each chapter contains real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google’s online services. Though targeted at the architects and programmers of today’s WSCs, this book will also be broadly interesting to those who just want to understand the infrastructure powering cloud computing and hyperscale and AI services. The fourth edition reflects six years of advancements since the previous edition and includes significantly revamped and enhanced content, including four new chapters, new case studies, and completely redone illustrations optimized for online reading. New topics include exascale AI processing, software-defined infrastructure, advanced networking, modular datacenter design, chip packaging and interconnects, silent data corruption, trusted computing, sustainability, and using AI to design better systems. Also new to this edition, the book includes a retrospective discussing key innovations and learnings from 25 years of warehouse-scale computing and an annotated bibliography of our selection of top 25 papers from this period. Updated discussions of emerging trends and opportunities ensure that this revised edition will remain an essential resource for educators and professionals working on the next generation of WSCs. Subject The topic of the resource Computer Architecture, AI, and Machine Learning Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text https://www.repository.gctu.edu.gh/files/original/7b567f22a6bc398cf2b914def5555e3d.pdf 403b74c4f941eea8b8c1e1ede412f9d0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Compressed Sensing Approach to Systems and Control Creator An entity primarily responsible for making the resource Masaaki Nagahara Description An account of the resource Compressed sensing, also known as sparse representation or sparse modeling, has experienced substantial growth in research fields such as signal processing, machine learning, and statistics. In recent years, this powerful tool has been successfully applied to the design of control systems. This book provides a comprehensive guide to compressed sensing-based techniques, focusing primarily on their application to systems and control. This book is intended for graduate students and researchers who already have a foundational understanding of basic calculus and linear algebra. Its primary objective is to equip readers with the practical skills to apply compressed sensing techniques to a range of engineering problems, with a particular emphasis on systems and control. It presents a comprehensive collection of efficient algorithms for addressing the problems discussed in the text. Moreover, the book includes accompanying Python programs, which enable readers to actively experiment with these algorithms first-hand. By engaging with these practical examples, readers will develop a deeper understanding of compressed sensing techniques and their applications to systems and control. Subject The topic of the resource Signal Processing,Control Systems, Machine Learning, and Statistics. Publisher An entity responsible for making the resource available Now Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2025 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This book is available under a Creative Commons Attribution-NonCommercial license (CC BY-NC), which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don't use it for commercial purposes. Language A language of the resource English Type The nature or genre of the resource Text Identifier An unambiguous reference to the resource within a given context ISBN-13: 9781638285052 https://www.repository.gctu.edu.gh/files/original/75bc7216aa492bc85e5c0c08da518fa1.pdf 4bc0bcce913ca48615ac8cef6cb7774d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence in Social Work: Bridging Technology and Humanity Creator An entity primarily responsible for making the resource Ruopeng An, Michael A. Lindsey Description An account of the resource 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. 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. 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. Subject The topic of the resource Artificial Intelligence Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text https://www.repository.gctu.edu.gh/files/original/ce1ec396323165e8554eb688f7620fa5.pdf 1ed9c45e3e940c984c9a2aa7df16a591 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Management by Missions: Connecting People to Strategy through Purpose, 2nd Edition Creator An entity primarily responsible for making the resource Pablo Cardona, Carlos Rey Subject The topic of the resource Business Strategy and Leadership Publisher An entity responsible for making the resource available Palgrave Macmillan Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource ​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. 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. https://www.repository.gctu.edu.gh/files/original/4f1fda8696b4600272851ed8ad676652.pdf 46333651d489e7619ae7b382db42b834 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Research Infrastructure Management: Governance, Strategy Development, and Operations Creator An entity primarily responsible for making the resource Enrico Guarini, Markus Pasterk, Marialuisa Lavitrano Subject The topic of the resource Management for Professionals Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This open access book combines findings and solutions from various areas of research management, such as HR, finance, strategy, and business case development. In recent years, Europe has invested enormously into the establishment of Research Infrastructures (RIs): new types of research service-providing organizations in virtually all scientific domains, which are often based on local or regional core facilities and research centers. Bringing together interdisciplinary and multinational teams at single-site or distributed research facilities, more than a thousand RIs are active worldwide and operate as structured, networked organizations led by Research Infrastructure Managers. These Managers are mostly scientists who have to strike a balance between their scientific background on the one hand and effective management and leadership skills on the other. This is the first open access book made for Research Infrastructure Managers around the globe. It also provides insights into complex managerial issues involved in setting up and operating RIs, developing appropriate service provision, and market communication and dissemination activities. Readers will particularly benefit from the use cases, which were developed as part of the Executive Masterin Management of Research Infrastructures offered at the University of Milano-Bicocca (Italy), which was supported by the Research Infrastructure Training Programme (RITrain), an EU-funded Horizon 2020 project. https://www.repository.gctu.edu.gh/files/original/22a9b76a9c351315c2911132a22adc76.pdf 7334fc1a930e3c6c06fccc3974f9b995 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI, FinTech, and the Future of Robo-Advisory: Risk Management and Ethical Considerations Creator An entity primarily responsible for making the resource Narmin Nahidi, Alex Zarifis Subject The topic of the resource Financial Technology and Innovation Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This open access book explores the rise of robo-advisory within the broader FinTech revolution, tracing its evolution from traditional human advisors to AI-driven platforms that democratize financial services. Robo-advisory technologies are part of a rapidly evolving financial landscape shaped by digitalization, disintermediation, and changing client expectations. This work examines the drivers behind this shift, including advancements in AI and data analytics, evolving investor demands for personalization and accessibility, and the cost and scalability pressures facing financial institutions. The book differentiates rule-based from AI-powered systems, highlighting how modern robo-advisors increasingly leverage machine learning, behavioral insights, and alternative data to offer dynamic and adaptive services. Emerging trends such as hybrid advisory models, behavioral nudges, ethical challenges surrounding algorithmic transparency, and inclusivity concerns are also addressed. Moreover, this work maps out key players and market trends, emphasizing regional variations, consolidation patterns, and niche market opportunities. A novel framework of six AI-driven business models is introduced to explain how robo-advisory is strategically deployed across incumbent and disruptive financial organizations. Ultimately, robo-advisory technologies serve as a lens to understand the future trajectory of financial services where AI, automation, and behavioral design converge to reshape how individuals engage with money, risk, and long-term financial planning. https://www.repository.gctu.edu.gh/files/original/d41fa3b60987c1b67b209d194e69318c.pdf 97bf837b1753e512cae9aa293b064bdb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Good Business: Policy to Unlock Companies’ Benefit for Society Creator An entity primarily responsible for making the resource Marthe Hesselmans, Bart Stellinga, Ramy El-Dardiry, Danique François, Catrien Bijleveld Subject The topic of the resource Business, Corporate Governance, and Industrial Policy Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2025 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This open access book shows how governments can motivate companies to make a positive impact on society and why this is necessary in light of today’s pressing social, economic, and environmental challenges and transitions. It shows obstacles companies face in conducting socially responsible business. Focusing on government-business relations in the Netherlands, the book also exposes key policy bottlenecks: the tendency of the Dutch government to hold on to the status quo and shield incumbent firms through tax breaks and lax enforcement. There is a real risk of policies that pamper businesses. We also show how policies can better capitalize on the innovative qualities of entrepreneurship. Effective government policy makes it worthwhile for companies to alter their business model so that their products, services, and production processes benefit society. Our recommendations address the role of government, consumers, financiers, and companies themselves. While this work focuses on the Netherlands, it tackles questions that countries face worldwide on how to minimize harmful business conduct and maximize good business solutions. This makes the book broadly relevant to policymakers, business leaders, and researchers grappling with the impact of business on society today. https://www.repository.gctu.edu.gh/files/original/b179ea4d8253663b791e1849210491bc.pdf b66bdd61c0c7304b8a1f01f28a4e6a05 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Engineering for Data Science Creator An entity primarily responsible for making the resource Gilles Dejaegere, Alberto Abelló, Kristian Torp, Alkis Simitsis Subject The topic of the resource Data Science, Data Analytics, Big Data, and Data Engineering Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows. By providing a consistent framework, it facilitates a thorough understanding of the data science lifecycle, from basic definitions to state-of-the-art concepts and techniques. The book is divided into four parts, each focusing on a different aspect of the data management and science lifecycle: governance, storage and processing, preparation, and analysis. Each part is organized to provide a coherent conceptual framework and is divided into multiple chapters, each focusing on a specific topic but together offering a comprehensive overview of the state of the art and the key challenges in the respective areas. While the parts and chapters follow a logical sequence, each chapter is designed to be self-contained and can be read independently. Chapters include references for further reading and deeper exploration and often also provide concrete examples or use cases to make the material more accessible. In addition, many chapters introduce a taxonomy to break down complex research areas into manageable components, highlighting the core directions and developments within each domain. The book is designed to be a valuable resource for both researchers and practitioners seeking to leverage data engineering for data science applications. For both seasoned experts and budding professionals, it provides the tools and knowledge needed to stay at the forefront of data-driven advancements. https://www.repository.gctu.edu.gh/files/original/99c89b59510b668c0c7e84452c27c7ed.pdf 93388c32959832cc7fdab0e9b861c177 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data in Economics and Management Creator An entity primarily responsible for making the resource Zheng Zhang, Kun Zhang, Xing Yan, Songshan Yang, Yuqian Zhang Subject The topic of the resource Statistics and Big Data Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This book discusses three advanced topics in modern economics and management: causal inference, financial model computing and decisions, and financial risk management. The first part of the book introduces the counterfactual framework for causal inference in observational studies and defines important causal parameters under both discrete and continuous treatments. The second part focuses on the computations associated with the financial model and its consequent decision-making. The third part studies the nested simulation method for portfolio risk measurement and introduces the neural network methodology for market risk forecasting. The goal of this book is to provide cutting-edge methodologies and rigorous theory to solve advanced problems in economics and management, such as program/policy evaluation, efficient computation of econometric models, and financial risk management. This book will be appealing to academic researchers and graduate students. Practitioners may also find this book helpful.