Although studies indicate the assumption of one single European market, other research emphasises European countries have distinct market identities. Meanwhile, as individual countries begin to have a more widespread understanding of culture, global culture still remains unshared between countries. Consumption Culture in Europe: Insight into the Beverage Industry brings the most relevant theories about culture and European market segmentation as well as providing updated data for the evaluation and analyses of the European consumption patterns in the beverage market. This comprehensive collection is an essential tool for policy-makers and those interested in end-markets and consumer affairs.|Although studies indicate the assumption of one single European market, other research emphasises European countries have distinct market identities. Meanwhile, as individual countries begin to have a more widespread understanding of culture, global culture still remains unshared between countries. Consumption Culture in Europe: Insight into the Beverage Industry brings the most relevant theories about culture and European market segmentation as well as providing updated data for the evaluation and analyses of the European consumption patterns in the beverage market. This comprehensive collection is an essential tool for policy-makers and those interested in end-markets and consumer affairs.

This book addresses the specialized topic of input-output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input-output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input-output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included.

Environmental Health Behavior: Concepts, Determinants, Impacts, and Research Methods integrates two intertwined fields, environmental health sciences and human behavior, to identify and systematize what is known about human behaviors and habits. Divided into six parts, the book takes the readers through the conceptual framework for Environmental Health Behavior (EHB) (Part 1), How EHB concept targets behaviors that affect human health and health/sustainability of natural environments (Part 2), The environmental impacts of human demands and behavior (Part 3), The impact of the environment on human behavior change (Part 4), Strategies to promote EHB change (Part 5), and Methods in EBH research (Part 6).In this book, a multidisciplinary group of expert contributors introduces broad perspectives on the intricate links between environment and health and provides readers with the conceptual framework and the research tools in environmental health behavior and behavioral change.

This unique edited collection brings together biologists, geneticists, and social and biological anthropologists to examine the connections between genetics, identity, and health in South America. It addresses a wide range of theoretical issues raised by the rapid changes in the field of genetic sciences. Contributors come from Brazil, Colombia, Argentina, Uruguay, the UK, and the United States, providing a comparative cultural perspective for scholars, researchers, and students.

The edited collection brings together social and biological anthropology scholars, biologists, and geneticists to examine the interface between Genetic Admixture, Identity and Health, directly contributing to an emerging field of 'bio-cultural anthropology.

Do humans start life with the capacity to detect and mentally represent the objects around them? Or is our object knowledge instead derived only as the result of prolonged experience with the external world? Are we simply able to perceive objects by watching their actions in the world, or do we have to act on objects ourselves in order to learn about their behavior? Finally, do we come to know all aspects of objects in the same way, or are some aspects of our object understanding more epistemologically privileged than others?
The Origins of Object Knowledge presents the most up-to-date survey of the research into how the developing human mind understands the world of objects and their properties. It presents some of the best findings from leading research groups in the field of object representation approached from the perspective of developmental and comparative psychology.
Topics covered in the book all address some aspect of what objects are from a psychological perspective; how humans and animals conceive what they are made of; what properties they possess; how we count them and how we categorize them; even how the difference between animate and inanimate objects leads to different expectations. The chapters also cover the variety of methodologies and techniques that must be used to study infants, young children, and non-human primates and the value of combining approaches to discovering what each group knows.
Bringing together leading researchers, communicating the most contemporary and exciting findings within the field of object representation, this volume will be an important work in the cognitive sciences, and of interest to those across the fields of developmental and comparative psychology.

Take your Data Wrangling skills to the next level by gaining a deep understanding of the tidyverse libraries. In this book, you will work with tidyr, dplyr, ggplot2 and learn to prepare your data for a good analysis Key Features * Learn the most modern libraries for data wrangling in R and how to make your data ready for analysis * Explore how to work with different data types such as strings, numbers, date and time * Build your first model and visualize data with ease with ggplot2 and through advanced plot types Book Description It is a given that data is all around us. We are living the information era now, where Data is the new oil. Big amounts of data are generated every day, and the companies want to understand it to perform better. That is where good Data Analysts and Data Scientists come to play, wrangling and exploring it to generate business insights. But in order to do that, you will need plenty of tools to enable you to extract the best knowledge from data Data Wrangling with R is a book for those who need to deeply understand the ways to wrangle and prepare datasets for exploration, analysis and modeling. This book will enable you to prepare your data for better, more optimized analysis, prepare your first data model and perform effective visualization This book helps you learn how to load and explore datasets. It will teach you modern concepts and tools of Data Wrangling. As Data Wrangling and Visualization are intrinsically connected, you will go over the best practices to plot data and extract insights from it. Through the journey of this book you will learn all about modeling, where you can see a Data Science project from end to end, built in RStudio, including an application built with Shiny Dashboards By the end of the book, you will learn to create your first data model and build an application with Shiny in R What you will learn * Load Datasets and explore data in R * Work with different types of variables in datasets * Create basic and advanced visualizations * Build your first data model * Create step-by-step a ggplot2 graphic in Microsoft Power BI * Build an application in R with Shiny Who This Book Is For If you are a professional data analyst, data scientist, or a beginner who wants to learn more about Data Wrangling, this book is for you. You will take more advantage of the knowledge in this book if you are familiar with the basic concepts of R programming or any other Object-Oriented programming language. The book is also excellent for Data Analysts who want to improve their data manipulation and visualization skills

Despite the continuous effort from the scientific community and the advancements in neonatal intensive care, hypoxic-ischaemic brain injury of term and near-term infants remains a significant problem throughout the world. After asphyxia, infants may suffer from long-term neurological sequelae, including death, cerebral palsy, learning difficulties, epilepsy and other significant cognitive, developmental and behavioural problems in 40% of survivors. This book discusses the risk factors, prevalence and neurological impacts of asphyxia.