This is the first comprehensive guide to green design using economic input-output life cycle assessment (EIO-LCA) models. It is a must-have for companies trying to improve the environmental profile of their products and processes, for regulators attempting to quantify life cycle implications of products and services, and for students and scholars of green design.

Environmental life cycle assessment is often thought of as "cradle to grave" and therefore as the most complete accounting of the environmental costs and benefits of a product or service. However, as anyone who has done an environmental life cycle assessment knows, existing tools have many problems: data is difficult to assemble and life cycle studies take months of effort. A truly comprehensive analysis is prohibitive, so analysts are often forced to simply ignore many facets of life cycle impacts. But the focus on one aspect of a product or service can result in misleading indications if that aspect is benign while other aspects pollute or are otherwise unsustainable.

This book summarizes the EIO-LCA method, explains its use in relation to other life cycle assessment models, and provides sample applications and extensions of the model into novel areas. A final chapter explains the free, easy-to-use software tool available on a companion website. The software tool provides a wealth of data, summarizing the current U.S. economy in 500 sectors with information on energy and materials use, pollution and greenhouse gas discharges, and other attributes like associated occupational deaths and injuries.

This title was first published in 2001: Reason, Community and Religious Tradition examines key questions about the relationship of rationality to its contexts by tracing the early history of the so-called 'ontological' argument. The book follows Anselm's Proslogion from its origins in the private, devotional context of an eleventh-century monastery to its reception in the public and adversarial contexts of the friars' schools in the thirteenth century. Using unpublished manuscript evidence from the Dominican and Franciscan schools at Oxford, Paris and Bologna in the thirteenth century, Matthews argues that the debate over Anselm's argument embodied the broader religious differences between the Franciscan and Dominican communities. By comparing the most famous figures of the period with their lesser-known contemporaries, Matthews argues that the Friars thought as communities and developed as traditions as they developed their arguments. This book will interest anyone concerned with the nature of rationality, and its relationship to communities and traditions, and what this entails for rational debate across cultural divides. In particular, it offers a fresh perspective on traditional approaches to the rationality of religion and religious belief.

This title was first published in 2001: Reason, Community and Religious Tradition examines key questions about the relationship of rationality to its contexts by tracing the early history of the so-called 'ontological' argument. The book follows Anselm's Proslogion from its origins in the private, devotional context of an eleventh-century monastery to its reception in the public and adversarial contexts of the friars' schools in the thirteenth century. Using unpublished manuscript evidence from the Dominican and Franciscan schools at Oxford, Paris and Bologna in the thirteenth century, Matthews argues that the debate over Anselm's argument embodied the broader religious differences between the Franciscan and Dominican communities. By comparing the most famous figures of the period with their lesser-known contemporaries, Matthews argues that the Friars thought as communities and developed as traditions as they developed their arguments. This book will interest anyone concerned with the nature of rationality, and its relationship to communities and traditions, and what this entails for rational debate across cultural divides. In particular, it offers a fresh perspective on traditional approaches to the rationality of religion and religious belief.

Why reinvent the wheel every time you run into a problem with JavaScript? This cookbook is chock-full of code recipes for common programming tasks, along with techniques for building apps that work in any browser. You'll get adaptable code samples that you can add to almost any project--and you'll learn more about JavaScript in the process. The recipes in this book take advantage of the latest features in ECMAScript 2020 and beyond and use modern JavaScript coding standards. You'll learn how to: Set up a productive development environment with a code editor, linter, and test server Work with JavaScript data types, such as strings, arrays, and BigInts Improve your understanding of JavaScript functions, including arrow functions, closures, and generators Apply object-oriented programming concepts like classes and inheritance Work with rich media in JavaScript, including audio, video, and SVGs Manipulate HTML markup and CSS styles Use JavaScript anywhere with Node.js Access and manipulate remote data with REST, GraphQL, and Fetch Get started with the popular Express application-building framework Perform asynchronous operations with Promises, async/await, and web workers

This is the first comprehensive guide to green design using economic input-output life cycle assessment (EIO-LCA) models. It is a must-have for companies trying to improve the environmental profile of their products and processes, for regulators attempting to quantify life cycle implications of products and services, and for students and scholars of green design.

Environmental life cycle assessment is often thought of as "cradle to grave" and therefore as the most complete accounting of the environmental costs and benefits of a product or service. However, as anyone who has done an environmental life cycle assessment knows, existing tools have many problems: data is difficult to assemble and life cycle studies take months of effort. A truly comprehensive analysis is prohibitive, so analysts are often forced to simply ignore many facets of life cycle impacts. But the focus on one aspect of a product or service can result in misleading indications if that aspect is benign while other aspects pollute or are otherwise unsustainable.

This book summarizes the EIO-LCA method, explains its use in relation to other life cycle assessment models, and provides sample applications and extensions of the model into novel areas. A final chapter explains the free, easy-to-use software tool available on a companion website. The software tool provides a wealth of data, summarizing the current U.S. economy in 500 sectors with information on energy and materials use, pollution and greenhouse gas discharges, and other attributes like associated occupational deaths and injuries.

This book examines the pros and cons of the local production of carpentry hand-tools as opposed to their importation. In seeking the best strategy to adopt it also outlines the previous methods adopted by VSO and Intermediate Technology who have much experience in this area. Published in the VSO ECOE Programme series.

Conventional models of voting behavior depict individuals who judge governments for how the world unfolds during their time in office. This phenomenon of retrospective voting requires that individuals integrate and appraise streams of performance information over time. Yet past experimental studies short-circuit this 'integration-appraisal' process. In this Element, we develop a new framework for studying retrospective voting and present eleven experiments building on that framework. Notably, when we allow integration and appraisal to unfold freely, we find little support for models of 'blind retrospection.' Although we observe clear recency bias, we find respondents who are quick to appraise and who make reasonable use of information cues. Critically, they regularly employ benchmarking strategies to manage complex, variable, and even confounded streams of performance information. The results highlight the importance of centering the integration-appraisal challenge in both theoretical models and experimental designs and begin to uncover the cognitive foundations of retrospective voting.