Having this book in your pocket is just like having a real marque expert by your side. Benefit from James Taylor's years of experience with the Land Rover Discovery, learn how to spot a bad example quickly, and how to assess a promising one like a professional. Get the right Discovery at the right price! Packed with good advice – from running costs, through paperwork, vital statistics, valuation, and the Discovery community, to whether a Discovery will suit you and your lifestyle – this is the complete guide to choosing, assessing and buying the Discovery of your dreams.

Based on real-life experiences and written by expert authors, the books in the Maintenance and Upgrades series from Crowood will help owners develop the workshop skills needed for the maintenance and repair of their cars, and give guidance on possibilities for improvements and upgrades to performance. With step-by-step instructions and safety information throughout, this book is a valuable technical resource for owners of the Land Rover Discovery, Series 1 and 2. Illustrated with over 300 photographs, the book covers sourcing parts and tools; common problems and solutions, covering all engine types, including Rover V8 and diesel engines; service and repair; improvements for wheels and tyres and detailed specifications. This valuable technical guide for owners of the Land Rover Discovery, Series 1 and 2 will be of particular interest to home and professional mechanics and Land Rover enthusiasts, specialists and owners' clubs. Illustrated with over 300 colour photographs.

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML

Drug repurposing is the development of existing drugs for new uses: given that 9 in 10 drugs that enter drug development are never marketed and therefore represent wasted effort, it is an attractive as well as inherently more efficient process. Three repurposed drugs can be brought to market for the same cost as one new chemical entity; and they can also be identified more quickly, an important benefit for patients whose diseases are progressing faster than therapeutic innovation. But repurposing also requires a fresh look at configuring pharmaceutical R&D, considering clinical, regulatory and patent issues much earlier than would otherwise be the case; a holistic gedanken experiment almost needs to be undertaken at the very start of any repurposing development. In addition to new ways of thinking, the discovery of repurposing opportunities can take advantage of artificial intelligence techniques to match the perfect new use for an existing drug. And while repurposing of medicines has been in the mind of every doctor since Hypocrates, modern clinical practice will simply have to adapt to new repurposing techniques in an age where the number of known diseases is increasing much faster than the healthcare dollars available.

Understanding and quantifying the effects of membrane transporters within the human body is essential for modulating drug safety and drug efficacy. The first volume comprehensively reviewed current knowledge and techniques in the transporter sciences and their relations to drug metabolism and pharmacokinetics. In this second volume on Drug Transporters, emphasis is placed on emerging sciences and technologies, highlighting potential areas for future advances within the drug transporter field. The topics covered in both volumes ensure that all relevant aspects of transporters are described across the drug development process, from in silico models and preclinical tools through to the potential impact of transporters in the clinic. Contributions are included from expert leaders in the field, at-the-bench industrial scientists, renowned academics and international regulators. Case studies and emerging developments are highlighted, together with the merits and limitations of the available methods and tools, and extensive references to reviews on specific in-depth topics are also included for those wishing to pursue their knowledge further. As such, this text serves as an essential handbook of information for postgraduate students, academics, industrial scientists and regulators who wish to understand the role of transporters in absorption, distribution, metabolism, and excretion processes. In addition, it is also a useful reference tool on the models and calculations necessary to predict their effect on human pharmacokinetics and pharmacodynamics.