Approaches to the Study of Intercultural Transfer" presents a collection of compelling case studies in the areas of social reform, museums, philanthropy, football, nonviolent resistance and holiday rituals such as Christmas that demonstrate key mechanisms of intercultural transfers. Each chapter provides the application of the intercultural transfer studies paradigm to a specific and distinct historical phenomenon. The chapters not only illustrate the presence or even the depth and frequency of intercultural transfer, but also reveal specific aspects of the intercultural transfer of phenomena, the role of agents of intercultural transfer and the transformations of ideas transferred between cultures thereby contributing to our understanding of the mechanisms of intercultural transfers.
This textbook on Instructional Design for Learning is a must for all education and teaching students and specialists. It provides a comprehensive overview about the theoretical foundations of the various models of Instructional Design and Technology from its very beginning to the most recent approaches. It elaborates Instructional Design (ID) as a science of educational planning. The book expands on this general understanding of ID and presents an up-to-date perspective on the theories and models for the creation of detailed and precise blueprints for effective instruction. It integrates different theoretical aspects and practical approaches, such as conceptual ID models, technology-based ID, and research-based ID. In doing so, this book takes a multi-perspective view on the questions that are central for professional ID: How to analyze the relevant characteristics of the learner and the environment? How to create precise goals and adequate instruments of assessment? How to design classroom and technology-supported learning environments? How to ensure effective teaching and learning by employing formative and summative evaluation? Furthermore, this book presents empirical findings on the processes that enable effective instructional designing. Finally, this book demonstrates two different fields of application by addressing ID for teaching and learning at secondary schools and colleges, as well as for higher education.
Let G be a reductive group over the field F=k((t)), where k is an algebraic closure of a finite field, and let W be the (extended) affine Weyl group of G. The associated affine Deligne–Lusztig varieties Xx(b), which are indexed by elements b∈G(F) and x∈W, were introduced by Rapoport. Basic questions about the varieties Xx(b) which have remained largely open include when they are nonempty, and if nonempty, their dimension. The authors use techniques inspired by geometric group theory and combinatorial representation theory to address these questions in the case that b is a pure translation, and so prove much of a sharpened version of a conjecture of Görtz, Haines, Kottwitz, and Reuman. The authors' approach is constructive and type-free, sheds new light on the reasons for existing results in the case that b is basic, and reveals new patterns. Since they work only in the standard apartment of the building for G(F), their results also hold in the p-adic context, where they formulate a definition of the dimension of a p-adic Deligne–Lusztig set. The authors present two immediate applications of their main results, to class polynomials of affine Hecke algebras and to affine reflection length.
The third Advanced Study Institute (ASI) on Techniques and Concepts of High Energy Physics was held at the Hotel on the Cay, in the scenic harbor of Christiansted, St. Croix, U. S. Virgin Islands. Christiansted was the site of the first ASI, and it was certainly a delight to return there again. As in the previous ASI's, the aim was to bring together a small group of promising young experimenters and several outstanding senior scholars in experimental and theoretical high energy physics in order to learn about the latest developments in the field and to strengthen contacts among scientists from different countries and different backgrounds. The institute was both a great scientific and a great social success; much of this was due to the beautiful setting and to the dedication of the Hotel management of Ray Boudreau and Hurchell Greenaway and their excellent staff. The primary support for the meeting was once again provided by the Scientific Affairs Division of NATO. The ASI was cosponsored by the U. S. Department of Energy, by Fermilab, by the National Science Found ation, and by the University of Rochester. A special contribution from the Oliver S. and Jennie R. Donaldson Charitable Trust provided an important degree of flexibility, as well as support for worthy students from developing nations. As in the case of the previous ASI's, the scientific program was designed for advanced graduate students and recent PhD recipients in experimental particle physics.
To address the growing complexities of childhood cancer, Nathan and Oski’s Hematology and Oncology of Infancy and Childhood has now been separated into two distinct volumes. With this volume devoted strictly to pediatric oncology, and another to pediatric hematology, you will be on the cutting edge of these two fields. This exciting new, full-color reference provides you with the most comprehensive, authoritative, up-to-date information for diagnosing and treating children with cancer. It brings together the pathophysiology of disease with detailed clinical guidance on diagnosis and management for the full range of childhood cancers, including aspects important in optimal supportive care. Written by the leading names in pediatric oncology, this resource is an essential tool for all who care for pediatric cancer patients. Offers comprehensive coverage of all pediatric cancers, including less common tumors, making this the most complete guide to pediatric cancer. Covers emerging research developments in cancer biology and therapeutics, both globally and in specific pediatric tumors. Includes a section on supportive care in pediatric oncology, written by authors who represent the critical subdisciplines involved in this important aspect of pediatric oncology. Uses many boxes, graphs, and tables to highlight complex clinical diagnostic and management guidelines. Presents a full-color design that includes clear illustrative examples of the relevant pathology and clinical issues, for quick access to the answers you need. Incorporates the codified WHO classification for all lymphomas and leukemias.
Written by the leading names in pediatric oncology and hematology, Nathan and Oski's Hematology and Oncology of Infancy and Childhood offers you the essential tools you need to overcome the unique challenges and complexities of childhood cancers and hematologic disorders. Meticulously updated, this exciting full-color set brings together the pathophysiology of disease with detailed clinical guidance to provide you with the most comprehensive, authoritative, up-to-date information for diagnosing and treating children. - Form a definitive diagnosis and create the best treatment plans possible with comprehensive coverage of all pediatric cancers, including less-common tumors, as well as all hematologic disorders, including newly recognized ones. - Develop a thorough, understanding of the underlying science of diseases through summaries of relevant pathophysiology balanced with clear, practical clinical guidance. Nathan and Oski's is the only comprehensive product on the market that relates pathophysiology in such depth to hematologic and oncologic diseases affecting children. - Quickly and effortlessly access the key information you need with the help of a consistent organization from chapter to chapter and from volume to volume. - Stay at the forefront of your field thanks to new and revised chapters covering topics such as paroxysmal nocturnal hemoglobinuria, lysosomal storage diseases, childhood genetic predisposition to cancer, and oncology informatics. - Learn about the latest breakthroughs in diagnosis and management, making this the most complete guide in pediatric hematology and oncology. - Discover the latest in focused molecularly targeted therapies derived from the exponential growth of knowledge about basic biology and genetics underlying the field. - Rely on it anytime, anywhere! Access the full text, images, and more at Expert Consult.
Experimental Techniques in High-Energy Nuclear and Particle Physics is a compilation of outstanding technical papers and reviews of the ingenious methods developed for experimentation in modern nuclear and particle physics. This book, a second edition, provides a balanced view of the major tools and technical concepts currently in use, and elucidates the basic principles that underly the detection devices. Several of the articles in this volume have never been published, or have appeared in relatively inaccessible journals. Although the emphasis is on charged-particle tracking and calorimetry, general reviews of ionization detectors and Monte Carlo techniques are also included.This book serves as a compact source of reference for graduate students and experimenters in the fields of nuclear and particle physics, seeking information on some of the major ideas and techniques developed for modern experiments in these fields.
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Summary Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Foreword by Soumith Chintala, Cocreator of PyTorch. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it’s a great skill to have as you expand your career options. It’s easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. About the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning. What's inside Training deep neural networks Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Exploring code samples in Jupyter Notebooks About the reader For Python programmers with an interest in machine learning. About the author Eli Stevens had roles from software engineer to CTO, and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company and an AI tech startup, as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant. consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production
In 19th-century Leipzig, Toronto, New York, and Boston, a newly emergent group of industrialists and entrepreneurs entered into competition with older established elite groups for social recognition as well as cultural and political leadership. The competition was played out on the field of philanthropy, with the North American community gathering ideas from Europe about the establishment of cultural and public institutions. For example, to secure financing for their new museum, the founders of the Metropolitan Museum of Art organized its membership and fundraising on the model of German art museums. The process of cultural borrowing and intercultural transfer shaped urban landscapes with the building of new libraries, museums, and social housing projects. An important contribution to the relatively new field of transnational history, this book establishes philanthropy as a prime example of the conversion of economic resources into social and cultural capital.
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