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A Taste of the Science of Eating
Why do you taste what you taste, and what about smelling? Many books address good food, but few go deeper, explaining the processes behind smelling and tasting. The book addresses the senses of smell and taste and the many more senses and their interactions during eating. It also stresses the importance of psychology when you smell, taste and eat. Some of the other topics include flavour, the working of the nose and olfactory (cross-)adaptation, the use of odorants, the relation between emotion and eating, and many more. The book helps you understand why you like and eat food, and shows the intriguing complexity of the area.
Multivariate Data Analysis in Sensory and Consumer Science
This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. This book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More specifically the focus is on the analysis of the reactions to certain characteristics of food products, which are in the form of scores given to attributes perceived in the food stimuli; the analyses are multivariate; and the senses are mainly the senses of smell and taste. The four main themes covered in the book are: (1) Individual Differences, (2) Measurement Levels; (3) Sensory-Instrumental Relations, and (4) Time-Intensity Data Analysis. The statistical methods discussed include Principle Components Analysis, Generalized Procrustes Analysis, Multidimensional Scaling, Redundancy Analysis, and Canonical Analysis. This book will be a value to all professionals and students working in the sensory studies
Convex Optimization & Euclidean Distance Geometry
The study of Euclidean distance matrices (EDMs) fundamentally asks what can be known geometrically given onlydistance information between points in Euclidean space. Each point may represent simply locationor, abstractly, any entity expressible as a vector in finite-dimensional Euclidean space.The answer to the question posed is that very much can be known about the points;the mathematics of this combined study of geometry and optimization is rich and deep.Throughout we cite beacons of historical accomplishment.The application of EDMs has already proven invaluable in discerning biological molecular conformation.The emerging practice of localization in wireless sensor networks, the global posi...
Dynamics in chains and networks
"Companies in food- and agribusiness chains and networks are facing ever-faster changes in the business environment, to which they must respond through continuous innovation. Societal concerns regarding animal welfare and environmental issues have to be met in a very competitive, increasingly global environment. The growing concern of consumers regarding the quality, traceability and environmental friendliness of products and processes call for fundamentally new ways of developing, producing and marketing products. New ways of organizing food supply networks, with new ties between firms and even between formerly separate sectors -such as the health and the food sector- are needed to cope with these new demands. This publication focusses on the dynamic response to these changes in chains and networks. Important topics include among others: critical success factors for design and control of innovative chains and networks, globalization of the business environment, effects of institutional and policy change, governance structures, technologies for managing interaction and design of information architectures for chains and networks."
Engineering Mathematics and Artificial Intelligence
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.
Decision Making: Neural and Behavioural Approaches
This well-established international series examines major areas of basic and clinical research within neuroscience, as well as emerging and promising subfields.This volume explores interdisciplinary research on decision making taking a neural and behavioural approach - Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research - Chapters are extensively referenced to provide readers with a comprehensive list of resources on the topics covered - All chapters include comprehensive background information and are written in a clear form that is also accessible to the non-specialist
Cognitive Sociolinguistics Revisited
Cognitive Sociolinguistics draws on the rich theoretical framework of Cognitive Linguistics and focuses on the social factors that underlie the variability of meaning and conceptualization. In the last decade, the field has expanded in various way. The current volume takes stock of current and emerging advances in the field in short academic contributions. The studies collected in this book have a usage-based approach to language variation and change, drawing on the theoretical framework of Cognitive Linguistics and are sensitive to social variation, be it cross-linguistic or language-internal. Three types of contributions are collected in this book. First, it contains theoretical overview papers on the domains that have witnessed expansion in recent years. Second, it presents novel research ideas in proof-of-concept contributions, aimed at blue-sky research and out-of-the-box linguistic analyses. Third, it showcases recent empirical studies within the field. By combining these three types of contributions, the book provides an encompassing overview of novel developments in the field of Cognitive Sociolinguistics.
An Introduction to Model-Based Survey Sampling with Applications
This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.
