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It has been estimated that there are more microbial cells inhabiting the human body than there are eukaryotic cells of which it is made up. This normal microflora usually co-exists relatively peacefully with the host and does not cause infection. The mechanisms by which this co-existence is achieved are still not properly understood and the interaction between the normal microflora and the host is far from simple. For a variety of reasons, however, this interaction can be disturbed and often results in the microflora becoming pathogens. The study of the diseases then caused is important both in terms of treatment and in terms of contributing to our understanding of the mechanisms by which th...
The Bloomsbury Handbook of Sound Art explores and delineates what Sound Art is in the 21st century. Sound artworks today embody the contemporary and transcultural trends towards the post-apocalyptic, a wide sensorial spectrum of sonic imaginaries as well as the decolonization and deinstitutionalization around the making of sound. Within the areas of musicology, art history, and, later, sound studies, Sound Art has evolved at least since the 1980s into a turbulant field of academic critique and aesthetic analysis. Summoning artists, researchers, curators, and critics, this volume takes note of and reflects the most recent shifts and drifts in Sound Art--rooted in sonic histories and implying future trajectories.
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Foundations of higher dimensional category theory for graduate students and researchers in mathematics and mathematical physics.
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
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