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The Animation Atlas: The Ghibliotheque Guide to the World of Animated Film
by Jake Cunningham Michael LeaderAnimation is a global artform, and The Animation Atlas is your essential guide to this exciting, expansive world.From Michael Leader and Jake Cunningham, authors and hosts of the Ghibliotheque podcast, comes this whistle-stop tour through animated film history. A cartography of cartoons, The Animation Atlas takes in everything from titans of animation such as Disney, Pixar, Aardman and Studio Ghibli to pioneers, innovators and rising stars from the wider world of cinema.A truly global history of animation - Each of the 30 chapters sets down in a different country to focus on local talent that has made a global impact on the form, from Spain to South Africa and China to Chile.Box office hits and hidden gems - Features a dazzling selection of films, from hand-drawn Hollywood classics (Snow White and the Seven Dwarfs) and award-winning CG masterpieces (Flow), to the works of revered artists such as Lotte Reiniger (The Adventures of Prince Achmed), Jan Švankmajer (Alice) and Hayao Miyazaki (My Neighbour Totoro).Dozens of gorgeous illustrations - Includes more than 150 photographs, artworks and stills from some of the most beautiful animated films ever made. A perfect gift for film lovers.
Contextual Dictionary of Chinese Cultural Knowledge
by Baofeng XuThis dictionary contains nearly 1500 entries and constitutes a core of essential knowledge on Chinese culture in a systematized and modernized form. It offers a professional yet highly readable introduction to Chinese culture for a global academic audience. Organized by subject and keyword, the book is divided into six sections: philosophy and ideology, social governance, literature and history, art and aesthetics, humanities and geography, and artefacts and technology. It contains both core knowledge and diversified information, while covering both historical and contemporary aspects. The target audience chiefly includes general readers of Chinese culture as well as sinologists and translators of Chinese books. The dictionary provides the latest information on the full range of Chinese knowledge, an accurate interpretation of Chinese culture, a logically arranged and accessible reference framework and a panoramic experience across the breadth of the subject. It enables readers to grasp the patterns of Chinese culture and its knowledge systems, while also gaining a deeper understanding of contemporary Chinese life.
Natural Remedies in Disease Management and Treatment
by Mohamed Fawzy Ramadan Mostafa Mahmoud HegazyThis book explores the preclinical and clinical aspects of herbal remedies, focusing on common diseases treated and managed with natural solutions. It includes comprehensive information on diseases and their most suitable natural remedies, discussing active constituents, pharmacological activities, molecular mechanisms, dosage forms, precautions, contraindications, and adverse effects based on clinical evidence.Key Features: Detailed information on the pharmacokinetics and pharmacodynamics of natural remedies is provided to ensure the selection of the most appropriate treatment for the disease Emphasis is placed on clinical evidence to guide safe and effective prescription of natural remedies and the development of new pharmaceutical products Insights into future challenges in the field, such as standardization and the development of new product formulas, are given, and summaries of the current state of research in key topic areas for the community are provided Authored by a team of scientists and experts, Natural Remedies in Disease Management and Treatment brings together diverse developments in the fields of medicine, pharmacognosy, herbal drug chemistry, pharmacology, pharmaceuticals, and cosmetics. It is an indispensable guide for scientists, pharmacists, physicians, nurses, medical students, and herbalists.
Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part V (Lecture Notes in Computer Science #16072)
by Igor V. Tetko Marcello Sanguineti Yoshua Bengio Walter Senn Ausra Saudargiene Alessandro E. P. Villa Viktor JirsaThis book constitutes the refereed proceedings of 34th International Workshops which were held in conjunction with the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025. The 20 full papers and 8 abstracts included in this workshop volume were carefully reviewed and selected from 42 submissions. They were organized in the following sections: 2nd AI in Drug Discovery (AIDD) Workshop; Special Session: Neural Networks for Graphs and Beyond; Special Session: Neurorobotics; 3rd International Workshop on Reservoir Computing.
Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery
by Mark Peters Gautham PallapaUnlock the full potential of enterprise platforms and drive the future of your business by incorporating cutting-edge gen AI techniquesKey FeaturesApply proven frameworks and real-world strategies to design scalable, high-performing platformsIntegrate AI-powered observability, security, compliance into your platform using best practicesWork through hands-on tutorials and case studies to implement platform engineering successfully for measurable business impactPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionModern organizations must deliver software faster, ensure platform stability, and adopt AI, all while reducing operational complexity and cost. But fragmented tooling, scaling challenges, and limited developer enablement hinder progress – driving engineering leaders to seek a cohesive strategy for efficiency, resilience, and innovation. In this book, Dr. Mark Peters and Dr. Gautham Pallapa join forces to resolve these complexities by showing you how to build scalable platforms, operate them efficiently through automation and AI, and optimize software delivery pipelines for continuous value. The chapters cover core principles, including platform architecture, self-service enablement, and developer experience. You’ll explore proven frameworks for cultural transformation, strategic alignment, and continuous improvement, along with 10 bold predictions about the future of platform engineering to help you anticipate trends and lead through change with confidence. By the end of this book, you’ll be able to design and implement resilient, intelligent platforms, accelerate innovation, and drive measurable business impact, positioning you and your organization as leaders in the next era of platform engineering.What you will learnDiscover how modern platform engineering drives scalability and sustainable business valueDesign and implement internal developer platforms with self-service, golden paths, and AI automationIntegrate AI and machine learning for predictive observability and smart workload optimizationUse leadership and cultural transformation frameworks to build high-performance platform teamsMeasure and optimize platform success through KPIs and FinOps strategiesAccelerate software delivery by unifying existing tools and workflows into cohesive, scalable platformsWho this book is forThis book is for experienced professionals across IT, product, and business functions who are responsible for building, operating, optimizing, or scaling platform capabilities. It is tailored for platform engineers, DevOps engineers, software developers, IT operations teams, transformation leaders, and business executives looking to align platform strategy with organizational goals. A solid understanding of DevOps practices, cloud-native technologies, and software development lifecycles, as well as familiarity with CI/CD, infrastructure automation, and modern application deployment is a must.
A Day in the Life of a CISO: Personal Mentorship from 24+ Battle-Tested CISOs — Mentoring We Never Got
by David J. GeeExplore the evolving field of cybersecurity leadership and gain real-world insights from top security leaders on strategy, communication, and resilience to excel as a CISO in today's digital landscapeKey FeaturesGain practical perspectives from global CISOs on cyber transformation, risk management, and career growthExplore AI threats, building resilient teams, cyber strategy, communication skills, and breach recoveryEquip yourself to lead effectively while adapting to evolving cyber challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs cyber threats become more complex, effective cybersecurity leadership calls for more than technical expertise; it requires strategic thinking, resilient leadership, and deft communication skills. A Day in the Life of a CISO brings together candid insights from some of the world’s most accomplished CISOs and cybersecurity executives. With invaluable guidance on managing emerging threats, balancing risk and business needs, leading through crisis, and building elite security teams, this book is a practical, real-world guide for professionals looking to elevate their cybersecurity careers or transition into leadership roles. You’ll benefit from the collective wisdom and hard-earned experiences of 29 contributors representing leading organizations worldwide, and learn how to craft cyber strategies, manage vulnerabilities, lead transformations, and develop long-lasting careers in cybersecurity. Whether you are an aspiring CISO, a current security leader, or a business executive seeking a deeper understanding of cybersecurity leadership, this book offers you the knowledge and inspiration to thrive in an increasingly challenging digital world.What you will learnAdapt security strategies to manage emerging threats, including AI-driven risksBuild and execute cyber strategies while balancing business needs and budget constraintsDiscover effective leadership and communication techniques critical for CISOsImplement talent development strategies for building a resilient cybersecurity teamLearn from real-world incidents, including how to recover after breachesExplore career development pathways for cybersecurity professionals, including alternative and non-traditional paths to CISO rolesWho this book is forThis book is for aspiring cybersecurity leaders and managers, as well as current CISOs seeking to sharpen their leadership and strategic skills. IT and risk management professionals transitioning into cybersecurity leadership roles and business executives and board members interested in cybersecurity governance will also find this book useful.
Microsoft Power Platform Solutions Architect's Handbook: Architect future-ready solutions by extending Power Platform with Azure, AI, and Copilot
by Hugo HerreraMaster modern solution architecture with this expert guide that integrates Dataverse with cutting-edge AI solutions while covering DevOps, data modeling, and PL-600 certification preparation Get your book with a free PDF, AI Assistant, and Next-Gen ReaderKey FeaturesLeverage Azure, Open AI, Copilot, and modern architecture patterns to build intelligent, high-impact business solutionsApply enterprise-grade architecture with the latest ALM, DevOps, and Center of Excellence practicesFast-track your success in the PL-600 certification exam with revised questions and expert insightsBook DescriptionStruggling to architect secure, scalable Power Platform solutions that keep up with AI and enterprise demands? Microsoft Power Platform Solutions Architect's Handbook is your expert guide to building intelligent, future-ready applications with Microsoft's low-code platform. This updated second edition brings you the latest on Copilot, Azure OpenAI, AI Builder, and Power Platform AI patterns. Through a hands-on enterprise case study, you'll work through every stage of solution architecture, from requirements analysis and envisioning to secure data modeling, integration, governance, and DevOps implementation. You'll tackle real-world challenges such as licensing constraints, ALM pipeline design, multi-cloud integration, and establishing a Center of Excellence. A refreshed PL-600 certification prep chapter with current questions and exam tips will help you gear up for the exam. By the end of this book, you'll have the mindset, tools, and strategies to design scalable, AI-enhanced Power Platform solutions while using the latest in LLM and GPT technologies. Whether modernizing legacy systems or architecting cloud-native applications, this book equips you to lead digital transformation initiatives with enterprise-grade excellence.What you will learnDesign scalable Power Platform solutions with AI and CopilotArchitect secure, scalable, and supportable enterprise-grade applicationsMaster requirements capture, fit gap analysis, and solution-envisioning methodologiesDesign robust integrations using Azure and third-party APIsLeverage Azure OpenAI and AI Builder for intelligent automationBuild reusable Dataverse data models using best practicesDeploy solutions using Power Platform pipelines and Azure DevOpsEstablish and scale a Center of Excellence for long-term platform successWho this book is forThis book is for solution architects, enterprise architects, technical consultants, and business and system analysts who implement, optimize, and architect Power Platform and Dataverse solutions. It’s also useful for anyone leading digital transformation projects that leverage Power Platform apps and the Microsoft business apps ecosystem. A strong understanding of Power Platform configuration and administration, Power Automate processes, Power Apps Portals, Canvas Apps, Dataverse Plugins, and Workflow Capabilities is expected.
String Processing and Information Retrieval: 32nd International Symposium, SPIRE 2025, London, UK, September 8–11, 2025, Proceedings (Lecture Notes in Computer Science #16073)
by Ricardo Baeza-Yates Nicola Tonellotto Golnaz Badkobeh Jakub RadoszewskiThis book constitutes the refereed proceedings of the 32nd International Symposium on String Processing and Information Retrieval, SPIRE 2025, held in London, UK, during September 8-11, 2025. The 17 full papers and 6 short papers included in this book were carefully reviewed and selected from 42 submissions. These papers cover research in all aspects of string processing, information retrieval, computational biology, and related applications.
Metaverse – METAVERSE 2025: 21st International Conference, Held as Part of the Services Conference Federation, SCF 2025, Hong Kong, China, September 27–30, 2025, Proceedings (Lecture Notes in Computer Science #16159)
by Jun Feng Liang-Jie Zhang Shiping Chen Yinbin MiaoThis book constitutes the refereed proceedings of the 21st International Conference on Metaverse – METAVERSE 2025, held in Hong Kong, China during September 27–30, 2025. The 8 full papers and one short paper included in this book were carefully reviewed and selected from 11 submissions. The papers focus on new work in various aspects of vertical industry services and related technologies and applications.
Fundamentals of Computation Theory: 25th International Symposium, FCT 2025, Wrocław, Poland, September 15–17, 2025, Proceedings (Lecture Notes in Computer Science #16106)
by Artur Jeż Jan OtopThis book constitutes the proceedings of the 25th International Symposium on Fundamentals of Computation Theory, FCT 2025, held in Wrocław, Poland, during September 15–17, 2025. The 32 full papers included in this volume were carefully reviewed and selected from 50 submissions. They present the fundamentals of computation theory including topics such as algorithms, complexity and formal methods.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part IX (Lecture Notes in Computer Science #15968)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part I (Lecture Notes in Computer Science #15960)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part III (Lecture Notes in Computer Science #15962)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part VIII (Lecture Notes in Computer Science #15967)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part V (Lecture Notes in Computer Science #15964)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part X (Lecture Notes in Computer Science #15969)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part XVI (Lecture Notes in Computer Science #15975)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part XIV (Lecture Notes in Computer Science #15973)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part XIII (Lecture Notes in Computer Science #15972)
by Daniel C. Alexander Archana Venkataraman James C. Gee Polina Golland Carole H. Sudre Jaesung Hong Juan Eugenio Iglesias Jong Hyo Kim Jinah ParkThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods
Identity: Unique and Shared (Psychology Library Editions: Social Psychology Ser.)
by Glynis M. BreakwellWhat do we know about identity processes and how does this relate to the world we live in? This book answers this question by considering the contemporary major developments in identity process theory – a framework founded by the author in the 1980s for understanding the coping strategies used when identity is threatened. With a focus on issues ranging from group conflict to dementia and mental illness, as well as contemporary events and phenomena such as the rise of the Digital Era and the COVID-19 pandemic, Identity explores how building and defending a unique identity motivates our thoughts, feelings, and actions. Breakwell brings together ideas of personal identity and social identity to show us how they intersect with one another. This book is essential reading for psychology students and researchers, and those interested in the concept of identity in the social sciences more broadly. Dame Glynis M. Breakwell is Professor Emeritus at the University of Bath and has Visiting Professorships at Imperial College, London and University of Surrey.
The ABCs of Social Emotional Learning for School Counselors and Administrators: An Adaptive, Balanced, and Collaborative Approach
by Melissa S. Ockerman Kirsten H. PerryPractical strategies to improve school climate and well-being for all School counselors often shoulder the weight of social emotional learning (SEL) at a time when students are experiencing increased mental health challenges, including loneliness, depression, and trauma, leaving them vulnerable to burnout. With contributions from a team of educational experts, this practical and timely guide presents a user-friendly framework that integrates adaptive strategies to meet real-time needs, balanced approaches to distribute workloads effectively, and collaborative solutions that elevate the voices of students and the school community. Inside, you will find: Actionable insights to foster culturally responsive programming while driving systemic change Practical solutions for addressing real-world implementation challenges tailored to diverse school communities Downloadable templates, talking points for encouraging dialogue, and team-based professional development activities Guidance for fostering partnerships among administrators, school counselors, and multidisciplinary partners Strategies to prevent burnout and sustain meaningful contributions within school systems Grounded in research and real-world experience, The ABCs of Social Emotional Learning for School Counselors and Administrators equips educators to build sustainable programs while prioritizing the well-being of all.
International Relations Theory
by Oliver DaddowWith chapters on all the major theories of international relations, accompanied by contemporary examples from popular culture, film and literature, this Third Edition is the ideal introduction to the key perspectives in the field. Key features: 30% new content, with all chapters revised and updated Useful learning features including further reading, ′questions to ponder′, ′common pitfalls′ and ′taking it further′ boxes, to help you extend your thinking beyond the classroom Invaluable chapters on getting the best out of your knowledge of International Relations Theory in essays and exams, including real life examples of best practice.
Understanding New Media
by Eugenia SiaperaThe new media landscape touches every aspect of our social, political and cultural lives. It is more important than ever, therefore, that we are able to understand and explain the complexity of our digital world. Understanding New Media gives students the tools and the knowledge they need to make sense of the relationship between technologies, media and society. This best-selling student introduction: Makes complex ideas accessible, clearly explaining the key thinkers, theories and research students need to understand Brings theory to life with a range of new case studies, from selfies or trolling, to the app economy and algorithms in social media Gets students started on projects and essays with guided research activities, showing them how to successfully put learning into practice Provides guided further reading, helping students to navigate the literature and extend their studies beyond the chapter Understanding New Media remains the perfect guide to the past, present and future of the new media world. It is a vital resource for students across media and communication studies and sociology, and anyone exploring new media, social media or digital media.
The Therapeutic Use of Self in Counselling and Psychotherapy
by Linda FinlayThis book examines the ‘therapeutic use of self’, and the intertwining of the therapist’s professional self and their personal self. Combining practical illustrations and case studies with theory and research, the book explores a number of questions, such as: · What are our personal values and attitudes and how do these manifest in our work with clients? · How do we interact with and impact others, and in what ways might this help or hinder our therapeutic work? · What might we represent to the client as a result of our particular social background, and how might this impact on the power dynamics within client relationships? Learning features include Practical Applications, Research boxes, Case Examples, Critical Reflections, Discussion Questions and Further Reading. This is a must-read for any students studying professional practice, counselling process, ethics, skills, working online/remotely, the therapeutic relationship, and more.
Practicing Therapy as Social Construction
by Pedro Martins Sheila McNamee Emerson F RaseraThis book is a comprehensive introduction to social constructionist ideas and their application within the psychological therapies. Whether you are a trainee or qualified therapist, this book will support you to think about therapy as a socially constructed and relational process, and to develop as a more culturally, socially and politically aware practitioner. It advocates for ‘therapist activists’ who understand the interplay between the micro and the macro in therapeutic contexts and debunks the idea of the ‘isolated client’ to examine how broader societal conditions create problems for the individual. Chapters are designed to engage, offering a variety of features to support learning, including: - Introductory and concluding chapter summaries - Textboxes summarising content & spotlighting key information - Case studies and vignettes throughout - Reflective questions & thought-provoking exercises - Recommended Further Reading. This book has wide applicability, with author affiliations across both North and South America - the University of New Hampshire in the US and the Federal University of Uberlandia in Brazil.