John Wiley & Sons Limited
Все книги издательства John Wiley & Sons Limited
Manual of Laboratory Testing Methods for Dental Restorative Materials
Explore the properties of a wide range of dental materials used in restorative dentistry with a brand-new resource The Manual of Laboratory Testing Methods for Dental Restorative Materials delivers a comprehensive and accessible review of the materials used in restorative dentistry. The book offers readers an evidence-based application of the materials and their mechanical, physical, and optical properties. Each chapter begins with key points and includes a glossary to aid in the learning and retention of the material contained within. The book also covers the methods used to study the properties and the advantages and disadvantages of various dental restorative materials as well as why they are selected. The Manual of Laboratory Testing Methods for Dental Restorative Materials will be a helpful addition to any institute library or personal collection and will cater to the needs of postgraduate dental students, researchers and academics in the fields of dentistry and material sciences.
Handbook of Oral Pathology and Oral Medicine
Handbook of Oral Pathology and Oral Medicine Discover a concise overview of the most common oral diseases in a reader-friendly book Handbook of Oral Pathology and Oral Medicine delivers a succinct overview of a range of oral diseases. The book contains up-to-date evidence-based information organized by clinical topic and supported by over 300 clinical, radiological, and microscopic images. Each chapter includes topics following universally respected curricula of oral pathology and oral medicine. Divided into seven parts, it covers core topics such as pathology of teeth, pulp, and supporting structures, pathology of jawbones, pathology of the oral mucosa, pathology of the salivary glands, clinical presentation of mucosal disease, orofacial pain, and miscellaneous topics of clinical relevance. Written for undergraduate dental students, dental hygienists and oral health therapists, Handbook of Oral Pathology and Oral Medicine is an ideal quick reference and is also useful to dental educators and practitioners.
Iceland Within the Northern Atlantic, Volume 2
The volcanic island of Iceland is a unique geological place due both to its position in the middle of the Atlantic Ocean and its repeated glaciations. It has been an accurate recorder of geodynamic and regional climatic evolutions for at least the last 15 million years.<br /><br />This book studies the Quaternary magmatism associated with the deep Iceland hotspot and, in particular, its distinctive geochemical and volcanological characteristics. It also analyzes that Arctic glacierization as it relates to the opening of the North Atlantic and the appearance of today’s ocean currents. We will also investigate the Quaternary glaciation as it affected Iceland in its oceanic context, particularly on the basis of radiometric dating, looking at the formation of the Greenland and Scandinavian ice sheets and data from marine sediment. Finally, it explores the specific environmental features of the island, from the end of the last ice age to global warming today.<br /><br />This book brings together the internal and external geodynamics of our planet to understand how Iceland functions and its role as a recorder of the paleoclimatic evolution of the Northern Hemisphere.
Machine Learning Algorithms and Applications
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.
