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International Journal of American Linguistics, volume 91 number 1 (January 2025)
by International Journal of American LinguisticsThis is volume 91 issue 1 of International Journal of American Linguistics. The International Journal of American Linguistics (IJAL) is dedicated to the documentation and analysis of the indigenous languages of the Americas. Founded by Franz Boas and Pliny Earle Goddard in 1917, the journal focuses on the linguistics of American Indigenous languages. IJAL is an important repository for research based on field work and archival materials on the languages of North and South America.
Winterthur Portfolio, volume 58 number 23 (Summer/Autumn 2024)
by Winterthur PortfolioThis is volume 58 issue 23 of Winterthur Portfolio. Winterthur Portfolio fosters knowledge of the North American past by publishing articles on material culture and the historical contexts within which artifacts developed. The journal presents interdisciplinary scholarship that critically engages art history, history, geography, ethnology, archaeology, anthropology, craft, design, and literature. It publishes articles that are analytical and synthetic rather than descriptive, and it encourages submissions by scholars underrepresented in material culture studies.
Pro Oracle Database 23ai Administration: Manage and Safeguard Your Organization’s Data
by Darl Kuhn Michelle MalcherMaster Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you’ll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls. Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You’ll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization’s data for those type of activities. You’ll know how to pull back information from a combination of relational tables and JSON structures. You’ll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you’ll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time. This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies. What You Will Learn Configure and manage Oracle 23ai databases both on-premises and in the cloud Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services Leverage converged database capabilities to manage different workloads, structured and unstructured data Perform administrative tasks for Autonomous Database dedicated environments Perform DBA tasks and effectively use data management tools Migrate from on-premises to the Oracle Cloud Infrastructure Troubleshoot issues with Oracle 23ai databases and quickly solve performance problems Architect cloud, on-premises, hybrid, and multi-cloud database environments Who This Book Is For Oracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23ai. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lake house and data mesh environments.
Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications
by Harsh BhasinThis book discusses deep learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on deep learning techniques and shows how to apply them across a wide range of practical scenarios. The book begins with an introduction to the core concepts of deep learning. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various deep learning models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. These applications include image classification, object detection, sentiment analysis, COVID-19 detection, and ChatGPT. By the end of this book, you will have gained a thorough understanding of deep learning, from its fundamental principles to its innovative applications, enabling you to apply this knowledge to solve a wide range of real-world problems. What You Will Learn What are deep neural networks? What is transfer learning, multi-task learning, and end-to-end learning? What are hyperparameters, bias, variance, and data division? What are CNN and RNN? Who This Book Is For Machine learning engineers, data scientists, AI practitioners, software developers, and engineers interested in deep learning
Fundamentals of Aeroelasticity (Solid Mechanics and Its Applications #279)
by Flávio D. MarquesThis book delves into the fundamentals of aeroelasticity, providing a modern foundation for education and research in aeronautical engineering. It begins with a brief introduction to aeroelasticity and then explores the static stability of airfoils and wings, using elementary models to solve fluid-structure interaction problems under equilibrium conditions. The dynamics of the typical aeroelastic section are examined, including modal analysis and dynamic characterization. Analytical and numerical aerodynamic models are discussed for unsteady aerodynamics, offering tools for studying stability phenomena and calculating aeroelastic responses. The text covers aeroelastic response and stability analysis, demonstrating coupled aerodynamic models' behavior under varying parameters and predicting flutter phenomena. The dynamic aeroelasticity of wings is analyzed, presenting a time-domain simulation model to show flutter conditions and aeroelastic modes. Appendices provide insights on finite element modeling of beams, self-excited systems, and surface interpolation methods, with numerous examples for result replication, though no specific computational tools are suggested.
The Good Working Life: Experiencing Satisfaction, Meaningfulness, and Psychological Richness in Organizations
by Hannes ZacherThis book adapts the ancient philosophical notion of the “good life” to the context of modern work and organizations. It outlines a vision of the good working life as the simultaneous experience of high levels of job satisfaction, work meaningfulness, and work psychological richness. In the chapters, these three dimensions of the good working life are related to various individual differences, such as demographic and personality characteristics, as well as different work characteristics, including job demands and job resources. The three dimensions of the good working life are also analysed across different industries, and differentially related to important work outcomes, such as job engagement, performance, and occupational health, as well as key life outcomes, including life satisfaction, health, societal contributions, and wisdom. Promoting a positive psychological perspective on work, this book offers a compelling read for academics, students, and practitioners interested in improving employee wellbeing and reducing stress in organizations.
Two-Dimensional Metal Halide Perovskites: A Machine-Generated Literature Overview
by John S. Colton Kameron R. HansenThis book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
Eco-Industrial Development as an Industrial Strategy: Contributions from a German-Chilean Research Partnership (Green Energy and Technology)
by Thomas Hirth Andreas Ch. Braun Gabriela Espinosa Gutiérrez Danny TrögerThis book reports on the results of a 6-year international collaboration between four universities such as the Karlsruhe Institute of Technology (Germany), the Universidad de Chile, the Universidad Austral de Chile and the Universidad de Concepcion (Chile) on the topic of Eco-Industrial Development, i.e. on how industry can learn from ecosystems in order to increase its sustainability. On the one hand, this book presents the findings of the projects run by the network of researchers from Chile and Germany, including chapters on renewable energy production, circular economy, sustainable agriculture, and social and environmental impact assessment, among others. On the other hand, it highlights the importance of international academic collaboration in order to achieve sustainable transformations in industry, while also providing insights into the particular challenges and opportunities of eco-industrial development in Chile. All in all, this book provides both academics and professionals with a timely snapshot on principles and best practices for industrial sustainability and sustainable development.
Understanding the Digital and AI Transformation
by Byeong Gi LeeThis book offers a comprehensive and in-depth exploration of key digital and AI technologies, providing readers with a thorough understanding of the concepts and advancements driving the digital and AI transformation. Readers will gain the foundational knowledge needed to engage and keep abreast with the subject matter effectively. The chapters are organized in a systematic and logical way, starting from foundation (ICT), technologies (digital platforms, digital technologies, AI technology), and applications in industry and in society. The book addresses the critical ethical and societal issues surrounding digital and AI technologies, discusses regulatory frameworks, and explores potential solutions to these challenges. This feature is especially valuable for policymakers and general readers who need to understand the broader implications of technological advancements and make informed decisions accordingly. By including the businesses and issues of the leading platform companies like Apple, Google, Amazon, and Meta, and also by including the case studies of successful digital transformations in various industries like ENGIE, John Deere, POSCO, and Hyundai Motors, the book provides practical insights and actionable strategies. This feature is particularly valuable for professionals and academics who can learn from real-world applications and apply these lessons to their own contexts. Although the content is most relevant to professionals in the technology, business, and industry sectors who are involved in digital and AI transformation initiatives, the book is designed to be accessible to readers at any level, especially to those who want to keep abreast with the advancement of digital and AI technologies.
Biochemical Mechanisms for Metabolic Syndrome (Advances in Biochemistry in Health and Disease #31)
by Anita Mehta Tejal GandhiThe book "Biochemical Mechanisms for Metabolic Syndrome" delves into the intricate biochemistry underlying the complex condition known as Metabolic Syndrome. The main focus of the book is to provide a comprehensive overview and in-depth exploration of the various biochemical processes and molecular mechanisms contributing to the development and progression of Metabolic Syndrome. The book is structured into several chapters, each with a specific purpose. The initial chapters, lay the groundwork by introducing the concept of Metabolic Syndrome, its historical context, prevalence, and the risk factors associated with it. Subsequent chapters tackle various aspects of insulin resistance and its underlying mechanisms, lipid metabolism dysregulation, the impact of obesity, and the complex interplay between Metabolic Syndrome and hypertension. The book then shifts focus to exploring the genetic predisposition to Metabolic Syndrome and delves into recently explored indepth cellular and tissue mechanisms, including the role of gut barrier dysfunction and adipose tissue remodeling. Chapters dedicated to molecular mechanisms and signaling pathways offer a deeper understanding of the inflammatory resolution, and endoplasmic reticulum stress in the context of Metabolic Syndrome. Another significant aspect of the book is the exploration of the Brain-Gut-Adipose Axis and endocrine regulation, looking at the impact of gut microbiota-derived metabolites, gut hormones, and neuronal regulation on Metabolic Syndrome. Additionally, omics technologies are covered extensively, ranging from genomics, transcriptomics, proteomics, and epigenomics, to unravel the molecular complexity of Metabolic Syndrome. The latter part of the book delves into therapeutic approaches, including lifestyle interventions, pharmacological interventions, and dietary strategies. It also explores the therapeutic potential of brown adipose tissue, and highlights future directions and emerging research in the field of Metabolic Syndrome biochemistry. Overall, the book will provide a valuable resource for researchers, healthcare professionals, and students seeking a comprehensive understanding of the biochemical intricacies of Metabolic Syndrome and potential avenues for therapeutic interventions.
Structured Innovation: Levers to Successful Innovation Beyond Benchmarking (Management for Professionals)
by Florian Rupp Rupert A. BrandmeierThis book offers a comprehensive exploration of innovation management and its applications in various business contexts, providing an overview and comparison of the most promising approaches. It covers key topics such as the innovation management process, change management in SMEs, and competitive intelligence. The book discusses benchmarking techniques and network innovation models, addressing how to harness both individual and organizational innovation potential. It also explores fostering motivation and creativity, developing an innovative culture, managing change, and leveraging benchmarking partnerships. Additionally, it includes discussions on network management, open innovation, outsourcing innovation functions, and acquiring market knowledge through consultancy services. Designed for business schools and industry professionals, this resource combines theoretical frameworks with practical case studies, making it an essential guide for implementing effective innovation strategies.
One Dark Window (The Shepherd King #1)
by Rachel GilligTHE FANTASY BOOKTOK SENSATION! For fans of Uprooted and For the Wolf comes a dark, lushly gothic fantasy about a maiden who must unleash the monster within to save her kingdom—but the monster in her head isn't the only threat lurking. Elspeth needs a monster. The monster might be her. Elspeth Spindle needs more than luck to stay safe in the eerie, mist-locked kingdom she calls home—she needs a monster. She calls him the Nightmare, an ancient, mercurial spirit trapped in her head. He protects her. He keeps her secrets. But nothing comes for free, especially magic. When Elspeth meets a mysterious highwayman on the forest road, her life takes a drastic turn. Thrust into a world of shadow and deception, she joins a dangerous quest to cure the kingdom of the dark magic infecting it. Except the highwayman just so happens to be the King&’s own nephew, Captain of the Destriers…and guilty of high treason. He and Elspeth have until Solstice to gather twelve Providence Cards—the keys to the cure. But as the stakes heighten and their undeniable attraction intensifies, Elspeth is forced to face her darkest secret yet: the Nightmare is slowly, darkly, taking over her mind. And she might not be able to stop him.
Two Twisted Crowns (The Shepherd King #2)
by Rachel GilligIn the New York Times bestselling sequel to One Dark Window, Elspeth must confront the weight of her actions as she and Ravyn embark on a perilous quest to save the kingdom—perfect for readers of Hannah Whitten's For the Wolf and Alexis Henderson's The Year of the Witching. Gripped by a tyrant king and in the thrall of dark magic, the kingdom is in peril. Elspeth and Ravyn have gathered most of the twelve Providence Cards, but the last—and most important—one remains to be found: the Twin Alders. If they&’re going to find the card before Solstice and set free the kingdom, they will need to journey through the dangerous mist-cloaked forest. The only one who can lead them through is the monster that shares Elspeth&’s head: the Nightmare. And he&’s not eager to share any longer.Praise for One Dark Window: "Enthralling from beginning to shocking end." —Hannah Whitten, New York Times bestselling author of For the Wolf "Pulse pounding, darkly whimsical, and aglow with treacherous magic." —Allison Saft, New York Times bestselling author of A Far Wilder MagicThe Shepherd King One Dark Window Two Twisted Crowns
Overcoming Paranoid and Suspicious Thoughts, 2nd Edition: A self-help guide using cognitive behavioural techniques
by Jason Freeman Daniel Freeman Philippa Garety'This is the definitive practical guide from the leaders in the field on a hugely important topic. Written in an engaging, easy-to-understand style, the book tells how new research on paranoia is revealing how best to overcome it. The first edition helped many thousands of sufferers and the second edition promises even more.' Mark Williams, Emeritus Professor of Clinical Psychology, University of Oxford, co-author of Mindfulness: Finding Peace in a Frantic World'The authors of this excellent and timely book have played a major role in developing our understanding of how suspicious thoughts arise and, crucially, how we can learn to cope with them.' Nicholas Tarier, Professor of Clinical Psychology, Manchester UniversityLearn how to overcome your feelings of paranoiaDo you feel as if others are out to get you? Research shows that 20-30 percent of people in the UK frequently have paranoid or suspicious thoughts about other people. These feelings can make life a misery.In this fully revised and expanded new edition, the authors explain how cognitive behavioural therapy (CBT) techniques can be used to treat this disorder by changing unhelpful patterns of behaviour and thought. Overcoming self-help guides use clinically proven CBT techniques to treat long-standing and disabling conditions, both psychological and physical. Many guides in the Overcoming series are recommended under the Reading Well Books on Prescription scheme.
The Culture Solution: How to Achieve Cultural Synergy and Get Results in the Global Workplace
by Deirdre MendezThe Culture Solution offers a practical system that applies straightforward principles to real-life situations in international business, travel, project and team management, conflict resolution, mediation and more. Through a powerful, practical framework (The ARC System) readers will be able to discern the cultural orientation of the people they're interacting with, no matter where they are from, and understand behavior and expectations in any environment.
Methods for Analyzing Large Neuroimaging Datasets (Neuromethods #218)
by Robert Whelan Hervé LemaîtreThis Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with large data, including how to build reproducible pipelines and how to use Git. Part Three looks at how to do structural and functional preprocessing data at scale, and Part Four describes various toolboxes for interrogating large neuroimaging datasets, including machine learning and deep learning approaches. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Authoritative and comprehensive, Methods for Analyzing Large Neuroimaging Datasets is a valuable resource that will help researchers obtain the practical knowledge necessary for conducting robust and reproducible analyses of large neuroimaging datasets.
COVID-19 in Indian Country: Native American Memories and Experiences of the Pandemic
by Wade Davies Farina KingAs the COVID-19 pandemic struck peoples throughout the world, it disproportionately devastated Native American communities. The inequalities, disparities, and injustices they had long experienced as historically marginalized peoples magnified the effects of this crisis throughout Indian Country, causing high hospitalization and death rates, as well as intense economic and social dislocation. This edited volume seeks to tell stories of Native Americans facing this matrix of disease and colonialism in these pandemic years while also highlighting ways that Indigenous people innovated, bonded, and endured through this crisis. It features Indigenous perspectives and experiences through scholarly and creative pieces including short stories, visual art, and academic and personal narratives. Contributors ask how past experiences and traumas have contextualized Native people’s responses to COVID-19 and how intergenerational knowledge and ties have sustained their communities during the pandemic.
Helicobacter Infection in Clinical Practice
by Byung-Wook KimAlthough the incidence of Helicobacter infection has been declining for the past decades, it is still one of the most common infectious disease all over the world. Over 50,000 research articles have been published so far and lots of studies are on-going. Most of previously published books dealt with so many issues and it is somewhat hard for the reader to apply in real world clinical practice. Since clinicians do not have enough time to read the book from head to the end, this book presents algorithms, tables, and figures at the end of each chapter to provide a brief summary for clinicians, so that they can use this book as a reference in a short time in clinical practice. Readers will find up-to-date information and guidance on diagnosis and different types of treatments.
Cross-Border Labor Mobility: Historical and Contemporary Perspectives
by Caf DowlahThis revised and updated book provides unique insight into cross-border labor mobility, from the ancient forms of slavery to the present day. With a focus on the economic factors that underpin human mobility across the world, it charts the different forms of migration from African and Amerindian slaveries, to modern global migration and human trafficking. By highlighting the economic and political conditions that drive human mobility and anti-immigrant sentiments, a nuanced and detailed understanding of the drivers of forced and voluntary cross-border mobility are presented. This book presents a multidisciplinary understanding of the patterns and processes that define human mobility. It will be of interest to students, researchers, and policymakers working within labour economics and migration studies.
An Economic Historiography of Germany, 1918-1931: How Inflation and Foreign Capital Inflows Allowed the Weimar Republic to Survive (Frontiers in Economic History)
by Elena Seghezza Giovanni B. PittalugaContrary to existing economic analyses of the Weimar Republic, this book looks beyond the explanations of the individual events that characterized it - in particular hyperinflation, Brüning's fiscal policy, and the 1931 crisis. Instead, it adopts a more unified approach, and thereby sheds light on the underlying causes of these events. The book argues that these individual events were the final result of economic processes and policy choices which had made it possible to mitigate the social and political conflict that would otherwise have undermined the Republic’s existence. Specifically, it postulates that hyperinflation was the result of the "persistent" inflation, which had permitted Germany to maintain low unemployment, meet unions' wage demands, and contain left-wing radicalism. Similarly, the banking and currency crisis of 1931 was caused by a sudden stop related to the high level of foreign debt incurred by Germany after the Dawes Plan. Debt which had, however, enabled the country to finance the persistent external deficits resulting from its high domestic demand and large public expenditure incurred in an attempt to avoid social conflict. The book reviews the various models and approaches proposed highlighting their relative strengths and weakness and concludes by providing a unifying common thread which explains how the dramatic economic events which characterized the Weimar Republic were the result of the very economic processes which had contributed to its temporary survival. This book will appeal to students, scholars, economic researchers in general, and more specifically to those interested in economic history, monetary and financial economics, economic policy, political decision making, and political economy, in particular, those seeking a better understanding of the Weimar Republic's economic history.
Liquidity Dynamics and Risk Modeling: Navigating Trading and Investment Portfolios Frontiers with Machine Learning Algorithms
by Mazin A. Al JanabiThis book presents a high-quality contribution to the applications of modern financial algorithms for liquidity risk management and its practical uses and applications to investable portfolios and mutual funds. It brings together the latest thinking on the emerging topic of contemporary liquidity risk estimations and management and includes principles, reviews, examples, and concrete financial markets applications to trading and investment portfolios. Furthermore, it explores research directions of liquidity risk management using modified Liquidity-Adjusted Value-at-Risk (L-VaR) models with the application of machine learning optimization algorithms. The book presents specific self-contained use-cases throughout, showing practical applications of the concepts discussed and providing further directions for researchers and financial markets participants. The book draws practical insights from personal experiences and applies specific examples (with the use of real-world case studies and analysis) about how the modeling techniques and machine learning optimization algorithms could address specific theoretical and practical issues of liquidity risk management and coherent asset allocation in trading and investment portfolios. It will be of interest to researchers, students, and practitioners of risk management, portfolio management, and machine learning.
Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications: Dynamical Models, Communications and Networks (Springer Proceedings in Physics #314)
by Santo Banerjee Asit SahaThis book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics. This book comprises three volumes. Volume 3 focuses on graphs, networks, and communications. It covers topics such as optimization in control and neural systems; machine learning for signal analysis and classification; graph theory applications in science and engineering; analysis of wavelets and transforms in signal processing; and semiconductor devices and nanomaterials.
R by Example (Use R!)
by Jim Albert Maria RizzoNow in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.
Ukraine’s Thorny Path to the EU: From “Integration without Membership” to “Integration through War” (Palgrave Studies in European Union Politics)
by Maryna Rabinovych Anne PintschThis interdisciplinary book takes stock of Ukraine’s thorny European integration path in the last two decades. Engaging many Ukrainian academics and practitioners, the book seeks to offer a first-hand insight into how Ukraine moves towards EU membership, while in war with Russia, and which ‘stumbling blocks’ it encounters.
Quaternionic Hilbert Spaces and Slice Hyperholomorphic Functions (Operator Theory: Advances and Applications #304)
by Daniel Alpay Irene Sabadini Fabrizio ColomboThe purpose of the present book is to develop the counterparts of Banach and Hilbert spaces in the setting of slice hyperholomorphic functions. Banach and Hilbert spaces of analytic functions, in one or several complex variables, play an important role in analysis and related fields. Besides their intrinsic interest, such spaces have numerous applications. The book is divided into three parts. In the first part, some foundational material on quaternionic functions and functional analysis are introduced. The second part is the core of the book and contains various types of functions spaces ranging from the Hardy spaces, also in the fractional case, to the Fock space extended to the case of quaternions. The third and final part present some further generalization. Researchers in functional analysis and hypercomplex analysis will find this book a key contribution to their field, but also researchers in mathematical physics, especially in quantum mechanics, will benefit from the insights presented.