From the author and designer of "ROY G. BIV," a delightful, fully illustrated new volume on patterns, from polka dots to plaid: their histories, cultural resonances, and hidden meanings.
The first comprehensive catalogue of the Getty Museum’s significant collection of French Rococo ébénisterie furniture. This catalogue focuses on French ébénisterie furniture in the Rococo style dating from 1735 to 1760. These splendid objects directly reflect the tastes of the Museum’s founder, J. Paul Getty, who started collecting in this area in 1938 and continued until his death in 1976. The Museum’s collection is particularly rich in examples created by the most talented cabinet masters then active in Paris, including Bernard van Risenburgh II (after 1696–ca. 1766), Jacques Dubois (1694–1763), and Jean-François Oeben (1721–1763). Working for members of the French royal family and aristocracy, these craftsmen excelled at producing veneered and marquetried pieces of furniture (tables, cabinets, and chests of drawers) fashionable for their lavish surfaces, refined gilt-bronze mounts, and elaborate design. These objects were renowned throughout Europe at a time when Paris was considered the capital of good taste. The entry on each work comprises both a curatorial section, with description and commentary, and a conservation report, with construction diagrams. An introduction by Anne-Lise Desmas traces the collection’s acquisition history, and two technical essays by Arlen Heginbotham present methodologies and findings on the analysis of gilt-bronze mounts and lacquer. The free online edition of this open-access publication is available at www.getty.edu/publications/rococo/ and includes zoomable, high-resolution photography. Also available are free PDF, EPUB, and Kindle/MOBI downloads of the book, and JPG downloads of the main catalogue images.
Bronze Medal Winner of a 2009 National Health Information Award Stop your pelvic pain . . . naturally! If you suffer from an agonizing and emotionally stressful pelvic floor disorder, including pelvic pain, irritable bowel syndrome, endometriosis, prostatitis, incontinence, or discomfort during sex, urination, or bowel movements, it's time to alleviate your symptoms and start healing--without drugs or surgery. Natural cures, in the form of exercise, nutrition, massage, and self-care therapy, focus on the underlying cause of your pain, heal your condition, and stop your pain forever. The life-changing plan in this book gets to the root of your disorder with: A stretching, muscle-strengthening, and massage program you can do at home Guidelines on foods that will ease your discomfort Suggestions for stress- and pain-reducing home spa treatments Exercises for building core strength and enhancing sexual pleasure
Delve into the concepts of physically based rendering (PBR) using Allegorithmic’s Substance Painter. This book covers the integration of PBR textures with various 3D modeling and rendering packages as well as with the Unreal Engine 4 game engine. Beginning PBR Texturing covers all aspects of the software and guides you in implementing its incredible possibilities, including using materials, masks, and baking. Integration with both internal and popular external rendering engines is covered. This book teaches you the skills you need to use the texturing tool that is recognized by studios worldwide. You will know tips and tricks to implement the pipeline and speed up your workflow. What You Will Learn Know the fundamentals of PBR-based texturing from the ground upCreate production-ready textured models from scratchIntegrate PBR textures with standard 3D modeling and rendering applicationsCreate portfolio-ready renders using offline renderers Who This Book Is For Beginners in the fields of 3D animation, computer graphics, and game technology
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.