Download Free Pitts21 Our Method Book in PDF and EPUB Free Download. You can read online Pitts21 Our Method and write the review.

Phenomenology, the philosophical method that seeks to uncover the taken-for-granted presuppositions, habits, and norms that structure everyday experience, is increasingly framed by ethical and political concerns. Critical phenomenology foregrounds experiences of marginalization, oppression, and power in order to identify and transform common experiences of injustice that render “the familiar” a site of oppression for many. In Fifty Concepts for a Critical Phenomenology, leading scholars present fresh readings of classic phenomenological topics and introduce newer concepts developed by feminist theorists, critical race theorists, disability theorists, and queer and trans theorists that capture aspects of lived experience that have traditionally been neglected. By centering historically marginalized perspectives, the chapters in this book breathe new life into the phenomenological tradition and reveal its ethical, social, and political promise. This volume will be an invaluable resource for teaching and research in continental philosophy; feminist, gender, and sexuality studies; critical race theory; disability studies; cultural studies; and critical theory more generally.
Three-dimensional scoliosis therapy has for decades played an established role in the conservative management of mild and even of severe scoliosis. As well as describing every aspect of the pathologically curved, deformed spine, this textbook incorporates an extensive programme of exercises that can be tailored specifically to the needs of the individual patient. As outlined in Three-Dimensional Scoliosis Therapy: The Schroth Breathing Orthopaedic System, correction of the spinal deformity is based on a special breathing technique and active muscle stretching, as well as on elongation, detorsion and reduction of lordosis. The provision of psychological support for the patient is also emphasised as a key element. Christa Lehnert-Schroth born 1924 in Meissen She worked as a physiotherapist for about 50 years with scoliosis patients and further developed her mother's breathing orthopaedic technique with great success. Between 1961 and 1995 Christa Lehnert-Schroth - always surrounded by physicians - was director of the private Katharina-Schroth-Klinik in Bad Sobernheim/Germany. In many lectures, articles, seminars and films for physiotherapists and medical doctors in addition to recorded discs for patient's training at home she illustrated her mother's special method for scoliosis assuring well being of many patients and in honor her mother's legacy.
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Orthodontics is a fast developing science as well as the field of medicine in general. The attempt of this book is to propose new possibilities and new ways of thinking about Orthodontics beside the ones presented in established and outstanding publications available elsewhere. Some of the presented chapters transmit basic information, other clinical experiences and further offer even a window to the future. In the hands of the reader this book could provide an useful tool for the exploration of the application of information, knowledge and belief to some orthodontic topics and questions.
This emphasis of this collection is upon the history of courts and their procedures, they also illustrate the varied approaches and themes of legal history today.
Evidence-Based Orthodontics, Second Edition retains important elements of the First Edition, with several new sections to improve its use as a quick and comprehensive reference. New updated edition of a landmark text that surveys the principles and practice of evidence-based orthodontics Offers practical strategies for professionals to incorporate EBO in their daily practices Presents brief summaries of the best evidence for a wide range of clinical topics Incorporates information from over 400 systematic reviews, listed by topic
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
This book provides insights into the research in the fields of artificial intelligence in combination with Internet of Things (IoT) technologies. Today, the integration of artificial intelligence and IoT technologies is attracting considerable interest from both researchers and developers from academic fields and industries around the globe. It is foreseeable that the next generation of IoT research will focus on artificial intelligence/beyond artificial intelligence approaches. The rapidly growing numbers of artificial intelligence algorithms and big data solutions have significantly increased the number of potential applications for IoT technologies, but they have also created new challenges for the artificial intelligence community. This book shares the latest scientific advances in this area.