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The Cambridge Manual to Archaeological Network Science provides the first comprehensive guide to a field of research that has firmly established itself within archaeological practice in recent years. Network science methods are commonly used to explore big archaeological datasets and are essential for the formal study of past relational phenomena: social networks, transport systems, communication, and exchange. The volume offers a step-by-step description of network science methods and explores its theoretical foundations and applications in archaeological research, which are elaborately illustrated with archaeological examples. It also covers a vast range of network science techniques that can enhance archaeological research, including network data collection and management, exploratory network analysis, sampling issues and sensitivity analysis, spatial networks, and network visualisation. An essential reference handbook for both beginning and experienced archaeological network researchers, the volume includes boxes with definitions, boxed examples, exercises, and online supplementary learning and teaching materials.
The American Heart Association’s Scientific Sessions 2019 is bringing big science, big technology, and big networking opportunities to Philadelphia, Pennsylvania this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.
Pigs have a strong motivation to explore and root. In conventional pig husbandry systems, this need is difficult to fulfil, unless adequate enrichment materials are provided. This book summarises how enrichment strategies for pigs have evolved over the last few decades in different countries and provides a vast array of possibilities to enhance the exploratory needs of pigs. The role of enrichment material on avoidance of tail biting outbreaks or as an element triggering positive emotions in pigs is also discussed.
Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache
Vincent Ferrer (1350–1419), a celebrated Dominican preacher from Valencia, was revered as a living saint during his lifetime, receiving papal canonization within fifty years of his death. In The Saint and the Chopped-Up Baby, Laura Ackerman Smoller recounts the fascinating story of how Vincent became the subject of widespread devotion, ranging from the saint's tomb in Brittany to cult centers in Spain, Italy, France, Germany, and Latin America, where Vincent is still venerated today. Along the way, Smoller traces the long and sometimes contentious process of establishing a stable image of a new saint.Vincent came to be epitomized by a singularly arresting miracle tale in which a mother kil...
After 1500, as Catholic Europe fragmented into warring sects, evidence of a pagan past came newly into view, and travelers to distant places encountered deeply unfamiliar visual cultures, it became ever more pressing to distinguish between the sacred image and its opposite, the 'idol'. Historians and philosophers have long attended to Reformation charges of idolatry - the premise for image-breaking - but only very recently have scholars begun to consider the ways that the idol occasioned the making no less than the destruction. The present book focuses on how idols and ideas about them matter for the history of early modern objects produced around the globe, especially those created in the c...
This book nuances our understanding of commemorative portraiture in early modern Florence. The author argues that male and female portraiture, complexly generated within a discourse of male anxiety and pre-mortuary mourning, could pictorially console the subject against his own potentially unmourned death. Merging early modern visual culture and critical theories of the body, this book raises new questions about Renaissance portraiture and re-configures our understanding of masculinity and mourning.