Suchergebnisse

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) ; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) ; Processo FAPESP: 2015/24560-0 ; CNPq: 306214/2015-6 ; Global warming, as many other threats, requires more activity from the government, and people inquire about this, rightfully so. However, the public and private sectors nowadays have a joint responsibility with society. Global warming has come out of the scientific community and shows that climate change is an important social, economic, and political issue. Currently the carbon dioxide (CO2) emissions by transportation sector are the main polluter of the planet. For this reason, in this paper we propose a reflection on transport, which is an important sector of the economy, responsible for the generation of many jobs and wealth but, at the same time, it has negative impacts on people, companies, and the environment. Recent investigations demonstrate that mobility problems affects the life quality of the people, business productivity and gross domestic product (GDP) performance. In the face of the changes that we are experiencing, it is important to find alternatives that assistance governments in the decision making to solve the problem of traffic in large and medium-size cities and bring well-being to the population. The goal is to provide accurate tool to help take the best decisions in situations that most of the time has a lack of economic resources and transparency. Another motivation is to increase the productivity of companies and achieve sustainable development by reducing mobility problems and CO2 emissions. As outcomes of the paper, an in-depth study is presented on the subject that indicates a gap in the literature with fuzzy logic applied to sustainability. We indicate a sustainable option for the transport sector using algorithms for decision-making, and broaden the discussion on climate change and solutions to reduce the impacts caused by humanity. When the models were applied through a conceptual study, it was possible to provide an instrument generated on the use of algorithms that can aid decision making by getting qualitative data from a discussion with stakeholders on a topic. Finally, the document identifies the importance of the participation of stakeholder, reinforces legitimacy and transparency in decision-making processes and above all present a tool that can help governments to solve this problem. In short, this work proposes an original and valuable tool to be applied in the decision-making process for the sustainable transport sector based on the stakeholder engagement. (C) 2017 Elsevier Ltd. All rights reserved.

1. Naming Conventions -- 1.1 Guidelines for the Selection of Identifiers -- Problem: Naming Entities in a Message-Switch Program -- 2. Types -- 2.1 Discrete Types -- 2.2 Implementation of Set Types -- 2.3 Constant Array Declarations -- 2.4 Record Types -- 2.5 Recursive Type Definitions -- 3. Coding Paradigms -- 3.1 Use of Slices -- 3.2 Short Circuit Control Forms -- 3.3 Loop Statements -- 3.4 Use of Block Statements for Local Renaming -- 4. Exceptions -- 4.1 The Use of Exceptions -- 5. Program Structure -- 5.1 Specifying Interfaces for General Purpose, Portable Software: A Study of Ada Input/Output -- 5.2 Information Hiding -- 5.3 Reducing Depth of Nesting -- 5.4 Library Units Versus Subunits -- 6. Ada Life Cycle Design Methodology -- 6.1 Problem Analysis -- 6.2 Requirements Definition -- 6.3 High-Level Design -- 6.4 Low-Level Design -- 6.5 Coding -- 6.6 Unit Testing -- 6.7 Integration Testing -- 6.8 Acceptance Testing -- 6.9 Maintenance -- Appendix A. Areos for Future Study -- A.1 Design Issues -- A.2 Data Abstraction Issues -- A.3 Additional Naming Conventions -- A.4 Additional Coding Paradigms -- A.5 Operational Issues -- Appendix B. Bibliography.

A complete introduction to discriminant analysis--extensively revised, expanded, and updated. This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis

"Moyer and Crews move beyond simply presenting and explaining the ethical code. In this book, they challenge counselors-in-training to grapple with their own values and understand how ethical decision-making is influenced by the lens through which they see the world as much as it is influenced by the actual code." --Kristi Gibbs, University of Tennessee at Chattanooga Applied Ethics and Decision Making in Mental Health covers professional issues and ethical decision making related to the codes of ethics of the American Counseling Association, the American Psychological Association, and the American Association for Marriage and Family Therapy in an easy-to-read format, connecting ethical standards to real-life scenarios. This book not only focuses on the various aspects of legal issues and codes of ethics, but also includes ethical decision making models and exploration into the philosophy behind ethical decision making. By challenging readers to understand their own morals, values, and beliefs, this in-depth guide encourages critical thinking, real world application, and classroom discussion using case illustrations, exercises, and examples of real dialogue in every chapter.

This item is part of the Political & Rights Issues & Social Movements (PRISM) digital collection, a collaborative initiative between Florida Atlantic University and University of Central Florida in the Publication of Archival, Library & Museum Materials (PALMM).

"This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making for both short-term (real-time forecasting) and long-term (flood risk planning under change) situations. It aims primarily at technical practitioners involved in flood risk analysis and flood warning, including hydrologists, engineers, flood modelers, risk analysts and those involved in the design and operation of flood warning systems."--