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Kid Olympians: True Tales of Childhood from Champions and Game Changers (Kid Legends #9)
Par Robin Stevenson. 2024
Triumphant, relatable, and totally true biographies tell the childhood stories of a diverse group of international athletes who have captured…
the world’s attention at the Summer Olympics and Paralympics, like Simone Biles, Jesse Owens, Naomi Osaka, Tatyana McFadden, and 12 other incredible olympians.Athletes throughout history have dreamed of competing in the Olympics—and some were kids themselves when those dreams and plans began! In Kid Olympians: Summer, discover the childhood stories of legends such as: Usain Bolt, who used to skip practices to go to the arcade and play video games.Serena Williams, who sometimes hit her tennis ball over the fence on purpose!Tatyana McFadden, who had to fight to be allowed on her school’s track teamFeaturing kid-friendly text and full-color illustrations, you’ll be inspired to dream bigger, faster, and higher than ever before! The diverse and inspiring group also includes Michael Phelps, Yusra Mardini, Dick Fosbury, Ibtihaj Muhammad, Gertrude Ederle, Nadia Comaneci, Ellie Simmonds, Tommie Smith, Wilma Rudolph, and Megan Rapinoe.Pride and Persistence: Stories of Queer Activism (Do You Know My Name? #4)
Par Mary Fairhurst Breen. 2023
The activists between these pages have stood up for the queer community, whether on their own behalf or in support…
of people they love. Some made a difference by confronting injustice; others dared to be fully themselves.See It, Dream It, Do It: How 25 people just like you found their dream jobs
Par Colleen Nelson, Kathie MacIsaac. 2023
From award-winning author Colleen Nelson, and literacy advocate Kathie MacIsaac, twenty-five profiles present a plethora of jobs, and people, making…
it easier than ever for young people to see their dreams and to live their dreams!Beryl: The Making of a Disability Activist
Par Dustin Galer. 2023
The story of a mid-century working-class housewife whose extraordinary physical transformation empowered her to become a dynamic social activist who…
fueled a movement to create a more inclusive future for people with disabilities.This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics…
and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalability. One can also obtain trainable models to optimize applications and fine-tune theories, such as approximation of the ground state in many body systems, and boosting quantum circuits’ performance. The book begins with the introduction of programming tools and basic concepts of machine learning, with necessary background material from quantum mechanics and quantum information also provided. This enables the basic building blocks, neural network models for vacuum states, to be introduced. The highlights that follow include: non-classical state representations, with squeezers and beam splitters used to implement the primary layers for quantum computing; boson sampling with neural network models; an overview of available quantum computing platforms, their models, and their programming; and neural network models as a variational ansatz for many-body Hamiltonian ground states with applications to Ising machines and solitons. The book emphasizes coding, with many open source examples in Python and TensorFlow, while MATLAB and Mathematica routines clarify and validate proofs. This book is essential reading for graduate students and researchers who want to develop both the requisite physics and coding knowledge to understand the rich interplay of quantum mechanics and machine learning.Evolution of STEM-Driven Computer Science Education: The Perspective of Big Concepts
Par Vytautas Štuikys, Renata Burbaitė. 2024
The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education…
(Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.Selected Reflections in Language, Logic, and Information: ESSLLI 2019, ESSLLI 2020 and ESSLLI 2021 Student Sessions, Selected Papers (Lecture Notes in Computer Science #14354)
Par Alexandra Pavlova, Mina Young Pedersen, Raffaella Bernardi. 2024
The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language…
and Information (FoLLI) in different sites around Europe. The papers cover vastly dierent topics, but each fall in the intersection of the three primary topics of ESSLLI: Logic, Language and Computation. The 13 papers presented in this volume have been selected among 81 submitted papers over the years 2019, 2020 and 2021. The ESSLLI Student Session is an excellent venue for students to present their work and receive valuable feedback from renowned experts in their respective fields. The Student Session accepts submissions for three different tracks: Language and Computation (LaCo), Logic and Computation (LoCo), and Logic and Language (LoLa).The book illustrates how managers and knowledge workers can effectively harness collective and artificial intelligence to counteract the effects of…
exponential change and successfully implement digitization within their organizations. The author applies the proven management principles of Peter F. Drucker to the new challenges of the digital age, enhancing them with the concepts of collective and artificial intelligence. This approach also takes into account the insights of Daniel Kahneman regarding "Thinking, Fast and Slow" and the associated cognitive biases and deficits in human thinking. By leveraging innovative tools – collective and artificial intelligence – these deficits can be mitigated, aiding in decision-making. The use of these tools in innovation management and work organization is also discussed. Readers are provided with practical tips and strategies for implementation. Embark on an exciting journey through digital management practices and successfully navigate the challenges of the digital world.Beyond Reality: Proceedings of 3rd International Multi-Disciplinary Conference - Theme: Integrated Sciences and Technologies (IMDC-IST 2024) Volume 1 (Lecture Notes in Networks and Systems #895)
Par Mostafa Al-Emran, Jaber H. Ali, Marco Valeri, Alhamzah Alnoor, Zaid Alaa Hussien. 2023
This book addresses recent research trends concerning the role of the Metaverse in advancing the education and finance sectors from…
various perspectives. These trends are explored through multiple case studies employing diverse analytical approaches. The chapters aim to aid scholars and postgraduate students in pursuing future research in this domain and identifying potential developments in Metaverse applications.Dynamics of Information Systems: 6th International Conference, DIS 2023, Prague, Czech Republic, September 3–6, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14321)
Par Hossein Moosaei, Milan Hladík, Panos M. Pardalos. 2024
This book constitutes the proceedings of the 6th International Conference on Dynamics of Information Systems, DIS 2023, which took place in Prague,…
Czech Republic, in September 2023. The 18 full papers included in the book were carefully reviewed and selected from 43 submissions. They deal with topics ranging from theoretical, algorithmic, and practical perspectives in information systems, to offering readers valuable information, theories and techniques.This open access book constitutes papers from the research workshops presented at XP 2022 and XP 2023, respectively the 23rd…
and 24th International Conferences on Agile Software Development, held on June 13-17, 2022 at the IT University of Copenhagen, Denmark and June 13-16, 2023 in Amsterdam, Netherlands. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. In 2022, the following workshops took place: ● 3rd International Workshop on Agility with Microservices Programming● 2nd International Workshop on Agile Sustainability● Agile and EducationIn 2023, six workshops were held: ● Workshop on Organisational Debt and Large-Scale Agile● Workshop on Software-Intensive Business● Workshop on Global and Hybrid Work● Workshop on Fear-Based Agile Transformation● Workshop on AI-assisted Agile● Workshop on Agile-Quantum Software EngineeringIn 2022, 6 workshop papers were accepted for publication in these post-proceedings, out of 11 submissions, and in 2023, 15 papers were accepted for publication out of 38 submissions.Modeling Programming Competency: A Qualitative Analysis
Par Natalie Kiesler. 2024
This book covers a qualitative study on the programming competencies of novice learners in higher education. To be precise, the…
book investigates the expected programming competencies within basic programming education at universities and the extent to which the Computer Science curricula fail to provide transparent, observable learning outcomes and assessable competencies. The study analyzes empirical data on 35 exemplary universities' curricula and interviews with experts in the field. The book covers research desiderata, research design and methodology, an in-depth data analysis, and a presentation and discussion of results in the context of programming education. Addressing programming competency in such great detail is essential due to the increasing relevance of computing in today’s society and the need for competent programmers who will help shape our future. Although programming is a core tier of computing and many related disciplines, learning how to program can be challenging in higher education, and many students fail in introductory programming. The book aims to understand what programming means, what programming competency encompasses, and what teachers expect of novice learners. In addition, it illustrates the cognitive complexity of programming as an advanced competency, including knowledge, skills, and dispositions in context. So, the purpose is to communicate the breadth and depth of programming competency to educators and learners of programming, including institutions, curriculum designers, and accreditation bodies. Moreover, the book’s goal is to represent how a qualitative research methodology can be applied in the context of computing education research, as the qualitative research paradigm is still an exception in computing education research. The book provides new insights into programming competency. It outlines the components of programming competencies in terms of knowledge, skills, and dispositions and their cognitive complexity according to the CC2020 computing curricula and the Anderson-Krathwohl taxonomy of the cognitive domain. These insights are essential as programming constitutes one of the most relevant competencies in all computing study programs. In addition, being able to program describes the capability of solving problems, which is also a core competency in today’s increasingly digitalized society. In particular, the book reveals the great relevance of dispositions and other competency components in programming education, which curricula currently fail to recognize and specify. In addition, the book outlines the resulting implications for higher education institutions, educators, and student expectations. Yet another result of interest to graduate students is the multi-method study design that allows for the triangulation of data and results.NGINX Cookbook
Par Derek DeJonghe. 2024
NGINX is one of the most widely used web servers available today, in part because of itscapabilities as a load…
balancer and reverse proxy server for HTTP and other network protocols. This revised cookbook provides easy-to-follow examples of real-world problems in application delivery. Practical recipes help you set up and use either the open source or commercial offering to solve problems in various use cases.For professionals who understand modern web architectures, such as n-tier or microservice designs and common web protocols such as TCP and HTTP, these recipes provide proven solutions for security and software load balancing and for monitoring and maintaining NGINX's application delivery platform. You'll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server.You'll find recipes for:High-performance load balancing with HTTP, TCP, and UDPSecuring access through encrypted traffic, secure links, HTTP authentication subrequests, and moreDeploying NGINX to Google, AWS, and Azure cloudSetting up and configuring NGINX ControllerInstalling and configuring the NGINX App Protect moduleEnabling WAF through Controller ADCNGINX Instance Manager, Service Mesh, and the njs moduleVision and Actualization in Academia: Georgia Tech’s College of Computing (History of Computing)
Par Peter A. Freeman. 2024
Although difficult, change in academic structures is necessary today, especially in fast-changing fields today such as biology, computing, management, the…
social sciences, and others. This includes changes within existing organizations as well as creation of new structures and reorganizations or eliminations of older ones. This narrative attempts first to document the historical rise of an organization, Georgia Tech’s College of Computing, that has touched and successfully changed the lives of thousands of people. Second, it aims to identify and explicate some of what has led to this widely acknowledged success. The book provides a chronological narrative that highlights major changes taken under each successive leader. These changes have built on one another, knowingly or otherwise, to create a growing organization that rivals in size and prominence longer established parts of the university. The case study, while of an academic organization focused on computing, provides general lessons applicable almost anywhere. Topics and features: Discusses the nature and uses of visions, both general and specificShows how visions can be used to drive specific actions and resource allocationsIllustrates the choice and use of enduring organizational principlesOutlines a simple strategic-planning method and its applicationIndicates results of this overall approach This book will be of interest to anyone interested in organizational change, especially in academia, and to those interested in Georgia Tech. It will also appeal to policymakers in education, government, and industry; as well as anyone interested in the historical growth of the computing milieu broadly. Peter A. Freeman was Founding Dean and Professor in the College of Computing at Georgia Tech from 1990 to 2002. Today he is an Emeritus Dean and Professor.The information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to operations in every sector:…
chemicals, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, energy, financial services, food and agriculture, government facilities, healthcare and public health, information technology, nuclear reactors, materials and waste, transportation systems, and water and wastewater systems. Global business and industry, governments, indeed society itself, cannot function if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection XVII describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Themes and IssuesSmart Grid Risks and ImpactsNetwork and Telecommunications Systems SecurityInfrastructure SecurityAutomobile Security This book is the seventeenth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of eleven edited papers from the Seventeenth Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection, which was held at SRI International, Arlington, Virginia, USA in the spring of 2023. Critical Infrastructure Protection XVII is an important resource for researchers, faculty members and graduate students, as well as for as well as for policy makers, practitioners and other individuals with interests in homeland security.Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 (Progress in Landslide Research and Technology)
Par Irasema Alcántara-Ayala, Željko Arbanas, David Huntley, Kazuo Konagai, Snježana Mihalić Arbanas, Matjaž Mikoš, Maneesha V. Ramesh, Kyoji Sassa, Shinji Sassa, Huiming Tang, Binod Tiwari. 2023
This open access book provides an overview of the progress in landslide research and technology and is part of a…
book series of the International Consortium on Landslides (ICL). The book provides a common platform for the publication of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to the Kyoto Landslide Commitment 2020, which is expected to continue up to 2030 and even beyond to globally promote the understanding and reduction of landslide disaster risk, as well as to address the 2030 Agenda Sustainable Development Goals.Proceedings of Data Analytics and Management: ICDAM 2023, Volume 4 (Lecture Notes in Networks and Systems #788)
Par Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee. 2023
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at…
London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.Current and Future Trends on Intelligent Technology Adoption: Volume 1 (Studies in Computational Intelligence #1128)
Par Mohammed A. Al-Sharafi, Mostafa Al-Emran, Garry Wei-Han Tan, Keng-Boon Ooi. 2023
This book explores current and future trends in adopting intelligent technologies, such as the metaverse, social technologies, FinTech applications, and…
blockchain, among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How…
can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range of industries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VIII (Lecture Notes in Computer Science #14432)
Par Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji. 2024
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision,…
PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.