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Horses were first domesticated about 6,000 years ago on the vast Eurasian steppe extending from Mongolia to the Carpathian Mountains. Yet only in the last two decades have scientists begun to explore the specific mental capacities of these animals. Responding to a surge of interest in fields from ethology to comparative psychology and evolutionary biology, Michel-Antoine Leblanc presents an encyclopedic synthesis of scientific knowledge about equine behavior and cognition. The Mind of the Horse provides experts and enthusiasts alike with an up-to-date understanding of how horses perceive, think about, and adapt to their physical and social worlds. Much of what we know--or think we know--about "the intelligence of the horse" derives from fragmentary reports and anecdotal evidence. Putting this accumulated wisdom to the test, Leblanc introduces readers to rigorous experimental investigations into how horses make sense of their world under varying conditions. He describes the anatomical and neurophysiological characteristics of the horse's brain, and offers an evolutionary perspective by comparing these features with those of other species. A horseman himself, Leblanc also considers the opinions of renowned riding masters, as well as controversies surrounding the extraordinary powers of the horse's mind that have stirred in equestrian and scientific circles. Although scientists understand more today about how horses think than at any time in our species' long acquaintance with these animals, much remains in the dark. The Mind of the Horse brings together the current state of equine research and will likely stimulate surprising new discoveries.
This one-of-a-kind text book examines health behavior theory, through the context of the “New Public Health”. Health Behavior Theory will provide your students with a balanced professional education – one that explores the essential spectrum of theoretical tools as well as the core practices.
This book presents articles from the International Conference on Modelling, Simulation and Intelligent Computing (MoSICom 2020), held at Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai, UAE, in January 2020. Modelling and simulation are becoming increasingly important in a wide variety of fields, from Signal, Image and Speech Processing, and Microelectronic Devices and Circuits to Intelligent Techniques, Control and Energy Systems, and Power Electronics. Further, Intelligent Computational techniques are gaining significance in interdisciplinary engineering applications, such as Robotics and Automation, Healthcare Technologies, IoT and its Applications. Featuring the latest advances in the field of engineering applications, this book serves as a definitive reference resource for researchers, professors and practitioners interested in exploring advanced techniques in the field of modelling, simulation and computing.
This comprehensive treatise offers an in-depth discussion of natural toxicants in plants, emphasizing their effects as defenses against herbivory. Coevolution of plants and her-bivores are covered with a detailed treatment of toxicant metabolism and systemic effects in mammalian tissues. Con-sideration of the economic importance of plant toxins, modi-fication by plant breeding, management of toxico-sis, and toxicant problems in various geographic areas are in-cluded. Each volume offers an extensive description of chemistry, biosynthesis, analysis, distribution in plants, metabolism in mam-mals and insects, and practical problems in humans and livestock.
Manager selection is a critical step in implementing any investment program. Investors hire portfolio managers to act as their agents, and portfolio managers are then expected to perform to the best of their abilities and in the investors' best interests. Investors must practice due diligence when selecting portfolio managers. They need to not only identify skillful managers, but also determine the appropriate weights to assign to those managers. This book is designed to help investors improve their ability to select managers. Achieving this goal includes reviewing techniques for hiring active, indexed, and alternative managers; highlighting strategies for setting portfolio manager weights and monitoring current managers; and considering the value of quantitative and qualitative methods for successful manager selection.
Provides a fully revised Eleventh Edition of the definitive reference to swine health and disease Diseases of Swine has been the definitive reference on swine health and disease for over 60 years. This new edition has been completely revised to include the latest information, developments, and research in the field. Now with full color images throughout, this comprehensive and authoritative resource has been redesigned for improved consistency and readability, with a reorganized format for more intuitive access to information. Diseases of Swine covers a wide range of essential topics on swine production, health, and management, with contributions from more than 100 of the foremost international experts in the field. This revised edition makes the information easy to find and includes expanded information on welfare and behavior. A key reference for anyone involved in the swine industry, Diseases of Swine, Eleventh Edition: Presents a thorough revision to the gold-standard reference on pig health and disease Features full color images throughout the book Includes information on the most current advances in the field Provides comprehensive information on swine welfare and behavior Offers a reorganized format to make the information more accessible Written for veterinarians, academicians, students, and individuals and agencies responsible for swine health and public health, Diseases of Swine, Eleventh Edition is an essential guide to swine health. "The 11th edition of Diseases of Swine continues to serve as the gold-standard resource for anything and everything related to swine herd health...this edition does an outstanding job of keeping up with the advanced diagnostic technologies and the latest research on new or emerging diseases and syndromes...there is no other informational resource that comes close to providing the depth or quality of information on the topic of swine diseases as does this book"
This book is an up to date reference work covering all aspects of macro and trace element nutrition in farm livestock. Sufficient information is given on metabolism, functions and interactions to explain why needs, feeds and imbalances are not always easy to define or anticipate. The major emphasis is on the mineral nutrition of ruminant livestock since they are most likely to be affected by imbalances but where pigs and poultry are the more vulnerable, extensive coverage of the non-ruminant is given. This new edition of a highly successful text has been thoroughly revised and significantly expanded. Many chapters have been extensively updated and several chapters on new topics introduced. * Calcium, phosphorus, sodium and potassium are now treated separately * Over 40 new figures are presented, and extensive use made oftables to summarise important data * Chapters on trace elements have been drastically revised * Claims for enhanced availability for new chelated sources arecritically reviewed * Completely new chapters focus on: The unique need of the ruminant for elemental sulphur Occasionally beneficial elements and essentially toxic elements The improved conduct and interpretation of supplementation trials
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems. The book examines several classes of recommendation algorithms, including Machine learning algorithms Community detection algorithms Filtering algorithms Various efficient and robust product recommender systems using machine learning algorithms are helpful in filtering and exploring unseen data by users for better prediction and extrapolation of decisions. These are providing a wider range of solutions to such challenges as imbalanced data set problems, cold-start problems, and long tail problems. This book also looks at fundamental ontological positions that form the foundations of recommender systems and explain why certain recommendations are predicted over others. Techniques and approaches for developing recommender systems are also investigated. These can help with implementing algorithms as systems and include A latent-factor technique for model-based filtering systems Collaborative filtering approaches Content-based approaches Finally, this book examines actual systems for social networking, recommending consumer products, and predicting risk in software engineering projects.