Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, machine learning, text analysis, and dashboard creation. Written by leading experts in the field, this book is an essential resource for anyone looking to master the tools and techniques of data science and apply them to the study of consumer behavior and sensory-led product development. Whether you are a seasoned professional or a student just starting out, this book is the ideal guide to using data science to drive insights and inform decision-making in the sensory and consumer sciences. Key Features: • Elucidation of data scientific workflow. • Introduction to reproducible research. • In-depth coverage of data-scientific topics germane to sensory and consumer science. • Examples based in industrial practice used throughout the book

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions. Volume I of the book is entirely devoted to the theory of mean field games without a common noise. The first half of the volume provides a self-contained introduction to mean field games, starting from concrete illustrations of games with a finite number of players, and ending with ready-for-use solvability results. Readers are provided with the tools necessary for the solution of forward-backward stochastic differential equations of the McKean-Vlasov type at the core of the probabilistic approach. The second half of this volume focuses on the main principles of analysis on the Wasserstein space. It includes Lions' approach to the Wasserstein differential calculus, and the applications of its results to the analysis of stochastic mean field control problems. Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions. Volume II tackles the analysis of mean field games in which the players are affected by a common source of noise. The first part of the volume introduces and studies the concepts of weak and strong equilibria, and establishes general solvability results. The second part is devoted to the study of the master equation, a partial differential equation satisfied by the value function of the game over the space of probability measures. Existence of viscosity and classical solutions are proven and used to study asymptotics of games with finitely many players. Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.

"The Angel and the Perverts," admirably translated by Anna Livia, offers a glimpse into the subculture of gender ambiguity that was the origin point for today's lesbian and gay communities. As the question concerning the relationship between homosexuality and gender difference is once again being raised, Delarue-Mardrus' novel no longer seems an anachronistic apologia from a more closeted era, but an intriguing exploration of identities that take gender difference, rather than sexuality, as their starting point."
--Will Roscoe, author of The Zuni Man-Woman

Set in the lesbian and gay circles of Paris in the 1920s, The Angel and the Perverts tells the story of a hermaphrodite born to upper class parents in Normandy and ignorant of his/her physical difference. As an adult, s/he lives a double life as Marion/Mario, passing undetected as a lesbian in the literary salons of the times, and as a gay man in the cocaine dens made famous by Colette.

Delarue-Mardrus's novel belongs to a category of literature, written between the turn of the century and approximately 1930, which depicted lesbians as members of a third sex. The hermaphrodite became the visual representation of the ways in which lesbians were different from their heterosexual sisters, and Rene Vivien, Natalie Clifford Barney, Rachilde, and Colette, among others, shared Delarue-Mardrus's fascination with the topic.

This is the first translation into English of The Angel and the Perverts. In an astute introduction, Anna Livia rereads Lucie Delarue-Mardrus as a prolific and significant writer, despite the fact that previous scholars viewed her primarily as the wife of the scholar and translator Joseph-Charles Mardrus.Livia also places Delarue-Mardrus's life in a lesbian context for the first time and decodes this delightful novel so that readers will feel quite at home in Mario/Marion's unusual world, which runs the gamut from Auguste Rodin to Jean Cocteau and Sarah Bernhardt.

Rapid Sensory Profiling Techniques: Applications in New Product Development and Consumer Research, Second Edition presents the latest findings and recommendations on the proper choice and use of rapid product profiling methods. Each chapter is written by a key opinion leader on a specific method with discussions on theory, pros, cons and the application of each method that is demonstrated through a case study. This valuable resource educates and empowers those working in research and development on how to meet shorter product turnaround times at lower cost and with no compromise on quality. This book is not just needed by the scientific community, it is an essential must have in an industry challenged by a "speed to market" mantra.

Sensory evaluation is applied in very diverse and sometimes unexpected sectors. Nonfood Sensory Practices aims to show how sensory professionals from sectors other than food have embraced sensory evaluation methods for product development and communication of their products' sensory properties. This book is thus intended as a first assessment of what is happening in nonfood sectors. It will open perspectives to those sensory professionals who wish to apply and adapt their expertise in food sensory science to other types of products, as well as to those working in nonfood sectors but with lesser background in sensory evaluation. Many nonfood products are intrinsically complex. They can be used in diverse ways, often in strong interaction with context and - unlike food - over several hours, days or months. This book shows how sensory professionals have adapted to these specificities, not to mention specific needs in terms of panel management and different ways to deal with consumers, users, customers or even sometimes with patients. First chapters present general methodological principles that will allow readers to fully apprehend the use of sensory practices. Then, contributions from many professionals in nonfood sectors will help to realize and promote the potential added value of sensory evaluation to their own field of application.

This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M. Lasry and P.-L. Lions in 2006 as a mean-field model for Nash equilibria in the strategic interaction of a large number of agents. Besides giving an accessible presentation of the main features of mean-field game theory, the volume offers an overview of recent developments which explore several important directions: from partial differential equations to stochastic analysis, from the calculus of variations to modeling and aspects related to numerical methods. Arising from the CIME Summer School "Mean Field Games" held in Cetraro in 2019, this book collects together lecture notes prepared by Y. Achdou (with M. Lauriere), P. Cardaliaguet, F. Delarue, A. Porretta and F. Santambrogio. These notes will be valuable for researchers and advanced graduate students who wish to approach this theory and explore its connections with several different fields in mathematics.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions. Volume II tackles the analysis of mean field games in which the players are affected by a common source of noise. The first part of the volume introduces and studies the concepts of weak and strong equilibria, and establishes general solvability results. The second part is devoted to the study of the master equation, a partial differential equation satisfied by the value function of the game over the space of probability measures. Existence of viscosity and classical solutions are proven and used to study asymptotics of games with finitely many players. Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions. Volume I of the book is entirely devoted to the theory of mean field games without a common noise. The first half of the volume provides a self-contained introduction to mean field games, starting from concrete illustrations of games with a finite number of players, and ending with ready-for-use solvability results. Readers are provided with the tools necessary for the solution of forward-backward stochastic differential equations of the McKean-Vlasov type at the core of the probabilistic approach. The second half of this volume focuses on the main principles of analysis on the Wasserstein space. It includes Lions' approach to the Wasserstein differential calculus, and the applications of its results to the analysis of stochastic mean field control problems. Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.

Sensory analysis is an important tool in new product development. There has recently been significant development in the methods used to capture sensory perception of a product. Rapid Sensory Profiling Techniques provides a comprehensive review of rapid methods for sensory analysis that can be used as alternatives or complementary to conventional descriptive methods. Part one looks at the evolution of sensory perception capture methods. Part two focuses on rapid methods used to capture sensory perception, and part three covers their applications in new product development and consumer research. Finally, part four explores the applications of rapid methods in testing specific populations.

This book describes the latest advances in the theory of mean field games, which are optimal control problems with a continuum of players, each of them interacting with the whole statistical distribution of a population. While it originated in economics, this theory now has applications in areas as diverse as mathematical finance, crowd phenomena, epidemiology, and cybersecurity. Because mean field games concern the interactions of infinitely many players in an optimal control framework, one expects them to appear as the limit for Nash equilibria of differential games with finitely many players as the number of players tends to infinity. This book rigorously establishes this convergence, which has been an open problem until now. The limit of the system associated with differential games with finitely many players is described by the so-called master equation, a nonlocal transport equation in the space of measures. After defining a suitable notion of differentiability in the space of measures, the authors provide a complete self-contained analysis of the master equation. Their analysis includes the case of common noise problems in which all the players are affected by a common Brownian motion. They then go on to explain how to use the master equation to prove the mean field limit. This groundbreaking book presents two important new results in mean field games that contribute to a unified theoretical framework for this exciting and fast-developing area of mathematics.

This book describes the latest advances in the theory of mean field games, which are optimal control problems with a continuum of players, each of them interacting with the whole statistical distribution of a population. While it originated in economics, this theory now has applications in areas as diverse as mathematical finance, crowd phenomena, epidemiology, and cybersecurity. Because mean field games concern the interactions of infinitely many players in an optimal control framework, one expects them to appear as the limit for Nash equilibria of differential games with finitely many players as the number of players tends to infinity. This book rigorously establishes this convergence, which has been an open problem until now. The limit of the system associated with differential games with finitely many players is described by the so-called master equation, a nonlocal transport equation in the space of measures. After defining a suitable notion of differentiability in the space of measures, the authors provide a complete self-contained analysis of the master equation. Their analysis includes the case of common noise problems in which all the players are affected by a common Brownian motion. They then go on to explain how to use the master equation to prove the mean field limit. This groundbreaking book presents two important new results in mean field games that contribute to a unified theoretical framework for this exciting and fast-developing area of mathematics.

This volume discusses, from various disciplinary perspectives, the challenges that researchers face when studying the agency of visual media, which has been a central approach since the Iconic Turn of 30 years ago. The editors combine contributions from an international lecture series, showcasing current positions on dealing with the impulses of the Iconic Turn, with others by researchers from the University of Regensburg, where more than 10 years ago the transdisciplinary research cluster "Seeing and Understanding" was founded. The contributions represent a wide range of fields, including art history, philosophy, theology, history, and pedagogy as well as film, dance, religious, and cultural studies.