This paper is written as an introduction to the concepts of microbial risk assessment in general, but with a seafood focus and greater emphasis on the quantitative approach. The risk of food-borne disease is a combination of the likelihood of exposure to the pathogen, the likelihood of infection or intoxication resulting in illness and the severity of the illness. In a system as complex as the production and consumption of food, many factors affect both the likelihood and severity. To manage food safety effectively, a systematic means of examining these factors is necessary.

Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward, conceptual manner, tackling the question, "What is risk analysis?" Distilling the common principles of many risk dialects into serviceable definitions, it provides a foundation for the practice of risk management and decision making under uncertainty for professionals from all disciplines. New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and their outcomes. This book will empower you to enter the world of risk management in your own domain of expertise by providing you with practical, insightful, useful and adaptable knowledge of risk analysis science including risk management, risk assessment, and risk communication. Features: Answers the fundamental question, "What is Risk Analysis?" Presents the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner Responds to the continuing evolution of risk science and addresses the language of risk as it continues to evolve Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management Includes a new chapter on decision making under uncertainty provides practical guidance and ideas for using risk science to improve decisions and their outcomes Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis This book is suitable for executives, professionals and students who seek a fundamental understanding of risk management, risk assessment, and risk communication. A more detailed examination of this topic, suitable for practitioners from any discipline as well as students and professionals who aspire to become experts in the practice of risk analysis science, is found in Principles of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-47820-6.

Part of the new IFST Advances in Food Science Series, Seafood Processing: Technology, Quality and Safety covers the whole range of current processes which are applied to seafood, as well as quality and safety aspects. The first part of the book (‘Processing Technologies’) covers primary processing, heating, chilling, freezing, irradiation, traditional preservation methods (salting, drying, smoking, fermentation, etc), frozen surimi and packaging. The subjects of waste management and sustainability issues of fish processing are also covered. In the second part (‘Quality and Safety Issues’), quality and safety analysis, fish and seafood authenticity and risk assessment are included.

Because of the complexity involved in understanding the environment, the choices made about environmental issues are often incomplete. In a perfect world, those who make environmental decisions would be armed with a foundation about the broad range of issues at stake when making such decisions. Offering a simple but comprehensive understanding of the critical roles science, economics, and values play in making informed environmental decisions, Environmental Decision-Making in Context: A Toolbox provides that foundation. The author highlights a primary set of intellectual tools from different disciplines and places them into an environmental context through the use of case study examples. The case studies are designed to stimulate the analytical reasoning required to employ environmental decision-making and ultimately, help in establishing a framework for pursuing and solving environmental questions, issues, and problems. They create a framework individuals from various backgrounds can use to both identify and analyze environmental issues in the context of everyday environmental problems. The book strikes a balance between being a tightly bound academic text and a loosely defined set of principles. It takes you beyond the traditional pillars of academic discipline to supply an understanding of the fundamental aspects of what is actually involved in making environmental decisions and building a set of skills for making those decisions.

Animal models play crucial roles in the continuum of experimental activities that make up biomedical research. Such in vivo modes are especially important in proof-of-principle experiments and in establishing the preclinical safety and efficacy data required for progressing to human clinical trials. A practical understanding of the choice, care and use of animal models is thus expected and required of all biomedical researchers. However, while both legislations and the practice of laboratory animal science have made great advances in the last decade and have impacted significantly on the use of animal models, this corpus of knowledge is not readily available in formats easily digestible to the average biomedical researcher. This book fills this gap in knowledge and provides material not easily sourced by the average biomedical researcher, such as current information on bioimaging, occupational health and biosafety, animal protocol design and histological-pathological support.

This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.

Diverse foods derived from livestock production systems, including grazing and pastoralist systems, and from the hunting of wild animals, provide high-quality proteins, important fatty acids and various vitamins and minerals – contributing to healthy diets for improved nutrition and health. Livestock species are adapted to a wide range of environments, including areas that are unsuitable for crop production. Globally, more than a billion people depend on livestock value chains for their livelihoods. Small-scale livestock farmers and pastoralists make up a large proportion of livestock producers. Well integrated livestock production increases the resilience of small-scale farming systems. Livestock also provide other important ecosystem services in landscape management, provide energy and help to improve soil fertility. Rangeland or grassland ecosystems occupy some 40 percent of the world’s terrestrial area. Livestock keepers raise grazing animals to transform grassland vegetation into food. Challenges related to high resource utilization and pollution, food–feed competition, greenhouse-gas emissions, antimicrobial resistance and animal welfare as well as zoonotic and food-borne diseases, accessibility and affordability need to be solved if agrifood systems are to become more sustainable. FAO’s Committee on Agriculture requested a comprehensive, science- and evidence-based global assessment of the contribution of livestock to food security, sustainable food systems, nutrition and healthy diets, considering environmental, economic and social sustainability. The assessment consists of four component documents. This first component document provides a holistic analysis of the contribution of terrestrial animal source food to healthy diets for improved nutrition and health outcomes over the course of people’s lives.

In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i

As a consequence of recent increased awareness of the social and political dimensions of climate, many non-specialists discover a need for information about the variety of available climate models. A Climate Modelling Primer, Fourth Edition is designed to explain the basis and mechanisms of all types of current physically-based climate models. A thoroughly revised and updated edition, this book will assist the reader in understanding the complexities and applicabilities of today’s wide range of climate models. Topics covered include the latest techniques for modelling the coupled biosphere-ocean-atmosphere system, information on current practical aspects of climate modelling and ways to evaluate and exploit the results, discussion of Earth System Models of Intermediate Complexity (EMICs), and interactive exercises based on Energy Balance Model (EBM) and the Daisyworld model. Source codes and results from a range of model types allows readers to make their own climate simulations and to view the results of the latest high resolution models. Now in full colour throughout and with the addition of cartoons to enhance student understanding the new edition of this successful textbook enables the student to tackle the difficult subject of climate modeling.