Ai Hisano exposes how corporations, the American government, and consumers shaped the colors of what we eat and even the colors of what we consider “natural,” “fresh,” and “wholesome.” The yellow of margarine, the red of meat, the bright orange of “natural” oranges—we live in the modern world of the senses created by business. Ai Hisano reveals how the food industry capitalized on color, and how the creation of a new visual vocabulary has shaped what we think of the food we eat. Constructing standards for the colors of food and the meanings we associate with them—wholesome, fresh, uniform—has been a business practice since the late nineteenth century, though one invisible to consumers. Under the growing influences of corporate profit and consumer expectations, firms have sought to control our sensory experiences ever since. Visualizing Taste explores how our perceptions of what food should look like have changed over the course of more than a century. By examining the development of color-controlling technology, government regulation, and consumer expectations, Hisano demonstrates that scientists, farmers, food processors, dye manufacturers, government officials, and intermediate suppliers have created a version of “natural” that is, in fact, highly engineered. Retailers and marketers have used scientific data about color to stimulate and influence consumers’—and especially female consumers’—sensory desires, triggering our appetites and cravings. Grasping this pivotal transformation in how we see, and how we consume, is critical to understanding the business of food.

The first dedicated volume of its kind, Visualizing Digital Discourse brings together sociolinguists and discourse analysts examining the role of visual communication in digital media. The volume showcases work from leading, established and emerging scholars from across Europe, covering a diverse range of digital media platforms such as messaging, video-chat, gaming and wikis; visual modalities such as emojis, video and layout; methodologies like discourse analysis, ethnography and conversation analysis; as well as data from different languages. With an opening chapter by Rodney Jones, the volume is organized into three parts: Besides Words and Writing, The Social Life of Images, and Designing Multimodal Texts. From the perspective of these broad domains, chapters tackle some of the major ideological, interactional and institutional implications of visuality for digital discourse studies. The first part, beginning with a co-authored chapter by Crispin Thurlow, focuses on micro-level visual practices and their macro-level framing – all with particular regard for emojis. The second part, beginning with a chapter from Sirpa Leppänen, examines the ways visual resources are used for managing personal relations, and the wider cultural politics of visual representation in these practices. The third part, beginning with a chapter by Hartmut Stöckl, considers organizational contexts where users deploy visual resources for more transactional, often commercial ends.

The Cultural Politics of Food, Taste, and Identity examines the social, cultural, and political processes that shape the experience of taste. The book positions flavor as involving all the senses, and describes the multiple ways in which taste becomes tied to local, translocal, glocal, and cosmopolitan politics of identity. Global case studies are included from Japan, China, India, Belize, Chile, Guatemala, the United States, France, Italy, Poland and Spain. Chapters examine local responses to industrialized food and the heritage industry, and look at how professional culinary practice has become foundational for local identities. The book also discusses the unfolding construction of “local taste” in the context of sociocultural developments, and addresses how cultural political divides are created between meat consumption and vegetarianism, innovation and tradition, heritage and social class, popular food and authenticity, and street and restaurant food. In addition, contributors discuss how different food products-such as kimchi, quinoa, and Soylent-have entered the international market of industrial and heritage foods, connecting different places and shaping taste and political identities.

You’re about to discover how to finally master some of the worlds greatest visualization techniques and create the positive mental behaviors that will transform your life for years to come. It has been scientifically proven that visualization or creative visualization can have a huge impact in ones life, and can strongly assist folks in making their dreams a reality . With that being said, within this short book you will learn proven methods that have helped others just like you to create the lives of their dreams and live a fulfilling life of accomplishment and happiness. The truth is, many people fail to ever visualize properly because they never really found the necessary information that can really make a change. By purchasing this book and reading through the concepts that can really make a long lasting difference; you will be putting yourself in a position to finally visualize correctly, see positive change, and will accomplish more with these visualization techniques than ever before. You’ll also get to understand: · What Visualization means · Benefits of Visualization · Visualization Techniques · Visualization potholes and many more! Discover how mere daydreams evolve into potent forces. Harness the power of your mind, and learn to sculpt the universe with the colors of your desires. From the tangible to the ethereal, traverse a bridge forged through intent and belief.

The first book that deals specifically with visualization of the XML-based Web. It presents the state-of-the-art research in this area and focuses on key topics such as: visualization of semantic and structural information and metadata; exploring and querying XML documents using interactive multimedia interfaces; topic map visualization; visual modelling of XML/RDF ontologies and schemas; rendering and viewing of XML documents; SVG/X3D: new visualization techniques for the semantic web; and methods used to construct high quality metadata/metadata taxonomies. Most of the techniques and methods discussed here can be applied now, making this book essential reading for SML and Web developers as well as visualization researchers.

Creative visualizers have learned to make their daydreams come true by tapping into the unconscious mind's awesome power to positively shape and focus thoughts and behaviors. Learn simple, yet powerful, visualization techniques to help you achieve your goals.

Software Visualization: From Theory to Practice was initially selected as a special volume for "The Annals of Software Engineering (ANSE) Journal", which has been discontinued. This special edited volume, is the first to discuss software visualization in the perspective of software engineering. It is a collection of 14 chapters on software visualization, covering the topics from theory to practical systems. The chapters are divided into four Parts: Visual Formalisms, Human Factors, Architectural Visualization, and Visualization in Practice. They cover a comprehensive range of software visualization topics, including *Visual programming theory and techniques for rapid software prototyping and graph visualization, including distributed programming; *Visual formalisms such as Flowchart, Event Graph, and Process Communication Graph; *Graph-oriented distributed programming; *Program visualization for software understanding, testing/debugging and maintenance; *Object-oriented re-design based on legacy procedural software; *Cognitive models for designing software exploration tools; *Human comprehensibility of visual modeling diagrams in UML; *UML extended with pattern compositions for software reuse; *Visualization of software architecture and Web architecture for better understanding; *Visual programming and program visualization for music synthesizers; *Drawing diagrams nicely using clustering techniques for software engineering.

Over the last century, the industrialization of agriculture and processing technologies have made food abundant and relatively inexpensive for much of the world’s population. Simultaneously, pesticides, nitrates, and other technological innovations intended to improve the food supply’s productivity and safety have generated new, often poorly understood risks for consumers and the environment. From the proliferation of synthetic additives to the threat posed by antibiotic-resistant bacteria, the chapters in Risk on the Table zero in on key historical cases in North America and Europe that illuminate the history of food safety, highlighting the powerful tensions that exists among scientific understandings of risk, policymakers’ decisions, and cultural notions of “pure” food.

An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions