Organizations face major challenges in incorporating the sustainable development goals (SDGs) into their business strategies. Continuous reflection on the relationship between SDGs and organizational performance is essential for developing business models that integrate economic, ecological, and social considerations. New reporting regulations and stakeholder pressures have made sustainability accounting and auditing more crucial than ever. By adopting sustainable practices and understanding their social environmental impacts, organizations can drive sustainability forward. The Nexus of Corporate Sustainability Management, Accounting, and Auditing contributes to the dissemination of knowledge within the areas of management, accounting, and auditing. It is dedicated to these themes and the way they are integrated into organizations within the scope of sustainability. Covering topics such as corporate governance, ethical practices, and sustainable corporate reporting, this book is an excellent resource for managers, executives, accountants, auditors, graduate students, postgraduate students, academicians, researchers, policy makers, regulators, consultants, advisors, and more.

The purpose of this paper is used to document the different steps followed to construct the 2013 Social Accounting Matrix for Uganda. The SAM is an extension of the Standard Nexus Structure. It consists of 55 activity sectors, 55 commodity sectors, three types of factors of production: labor (rural and urban disaggregated by level of education), land, and capital (disaggregated by crops, livestock, mining and other sectors). The household sector is divided spatially into urban and rural households. Rural households are further disaggregated into households that earn crop and/or livestock incomes (i.e., farm households) and those that do no earn incomes from either source (i.e., nonfarm households). Households are further disaggregated into per capita expenditure quintiles. This SAM allows analyzing issues at the detailed level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

The 2014 Myanmar Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

The purpose of this paper is used to document the different steps followed to construct the 2010/11 Social Accounting Matrix for Ethiopia. The SAM is an extension of the Standard Nexus Structure. It consists of 63 activity sectors, 67 commodity sectors, three types of factors of production: labor (rural and urban disaggregated by level of education), land, and capital (disaggregated by crops, livestock, mining and other sectors). The household sector is divided spatially into urban and rural households. Rural households are further disaggregated into households that earn crop and/or livestock incomes (i.e., farm households) and those that do no earn incomes from either source (i.e., nonfarm households). Households are further disaggregated into per capita expenditure quintiles. This SAM allows analyzing issues at the detailed level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

This book addresses challenges and opportunities in the Energy-Water-Environment (EWE) nexus, with a particular focus on research and technology development requirements in harsh desert climates. Its chapters include selected contributions presented during the 1st international conference on sustainable Energy-Water-Environment nexus in desert climates (ICSEWEN-19) held at the Qatar Environment and Energy Research Institute (QEERI) in Doha, Qatar in December 2019. This volume is comprised of three main chapters, each describing important case studies and progress on water, energy and environmental questions. A fourth chapter on policies and community outreach on these three areas is also included. This compilation aims to bridge the gap between research and industry to address the socioeconomic impacts of the nexus imbalance as perceived by scientists, industrial partners, and policymakers. The content of this book is of particular importance to graduate students, researchers and decision makers interested in understanding water, energy and environmental challenges in arid areas. Re searchers in environmental and civil engineering, chemistry, hydrology and environmental science can also find unique in-situ observations of the current nexus imbalance in deserts climate to validate their investigations. It is also an invaluable guide for industry professionals working in water, energy, environment and food sectors to understand the rapidly evolving landscape of the EWE nexus in arid areas. The analyses, observations and lessons-learned summarized herein are applicable to other arid areas outside North Africa and the Arabian Peninsula as well, such as central Australia, the southwest of the United States and deserts in central Asia.

The book provides a comprehensive understanding of cutting-edge research and applications at the intersection of genomics and advanced AI techniques and serves as an essential resource for researchers, bioinformaticians, and practitioners looking to leverage genomics data for AI-driven insights and innovations. The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the power of convolutional neural networks (CNN) and recurrent neural networks (RNN) in genomic image analysis and sequence analysis. Readers will gain practical knowledge on how to apply deep learning techniques to unlock patterns and relationships in genomics data. Transfer learning, a popular technique in AI, is explored in the context of genomics, demonstrating how knowledge from pre-trained models can be effectively transferred to genomic datasets, leading to improved performance and efficiency. Also covered is the domain adaptation techniques specifically tailored for genomics data. The book explores how genomics principles can inspire the design of AI algorithms, including genetic algorithms, evolutionary computing, and genetic programming. Additional chapters delve into the interpretation of genomic data using AI and ML models, including techniques for feature importance and visualization, as well as explainable AI methods that aid in understanding the inner workings of the models. The applications of genomics in AI span various domains, and the book explores AI-driven drug discovery and personalized medicine, genomic data analysis for disease diagnosis and prognosis, and the advancement of AI-enabled genomic research. Lastly, the book addresses the ethical considerations in integrating genomics with AI, computer vision, and machine learning. Audience The book will appeal to biomedical and computer/data scientists and researchers working in genomics and bioinformatics seeking to leverage AI, computer vision, and machine learning for enhanced analysis and discovery; healthcare professionals advancing personalized medicine and patient care; industry leaders and decision-makers in biotechnology, pharmaceuticals, and healthcare industries seeking strategic insights into the integration of genomics and advanced technologies.

In 2000, thermoelectric power plants accounted for 39 percent of total U.S. freshwater withdrawals. Traditionally, power plants have withdrawn water from rivers and other water sources to cool the steam used to produce electricity, so that it may be reused to produce more electricity. Some of this water is consumed, and some is discharged back to a water source. In the context of growing demands for both water and electricity, this report discusses: (1) approaches to reduce freshwater use by power plants and their drawbacks; (2) states' consideration of water use when reviewing proposals to build power plants; and (3) the usefulness of federal water data to experts and state regulators. Includes recommendations. Charts and tables.

The convergence of quantum technologies and biomedical intelligence is a frontier of boundless potential. The quantum advancements revolutionize disease detection, personalized medicine, and health monitoring frameworks while confronting the pressing challenge of accountability in machine learning systems within the biomedical domain. How do quantum innovations at the nexus of biomedical intelligence redefine biomedical research and healthcare, addressing critical inquiries such as the transformative potential of quantum computing, machine learning, and sensing technologies? Quantum Innovations at the Nexus of Biomedical Intelligence explores the intricate synergy between quantum mechanics and the biomedical domain. This book elucidates the profound implications and applications arising from the fusion of quantum computing, artificial intelligence, and biomedical sciences. This book introduces biomedical engineering, setting the stage for a deep dive into the transformative role of quantum computing and artificial intelligence. As the narrative unfolds, the text navigates the reader through the uncharted territories of quantum-enhanced machine learning, quantum sensing and their profound impact on diagnostics, personalized medicine, and health monitoring frameworks. The intersection of quantum computing and AI in medical advancements and cybersecurity is illuminated, offering a comprehensive understanding of the multifaceted applications of these cutting-edge technologies. This book is ideal for researchers, scientists, academics, and professionals across diverse disciplines in quantum innovations within biomedical intelligence.

Book Objective The object of this book is to provide a starting point to ultimately be a comprehensive reference instrument that completely encompasses, with minor revisions over time, the entire subject matter pertaining to the title of this book. Her-historical and contemporary examples and references are included to assist future Nexus Pentarchy Prime Auspices Rapid Response Duty Caretakers in discovering and learning what it means to be one with others in a sentinent duty caretaking environment.

Over half a century ago, in The Gutenberg Galaxy (1962), Marshall McLuhan noted that the overlap of traditional print and new electronic media like radio and television produced widespread upheaval in personal and public life: Even without collision, such co-existence of technologies and awareness brings trauma and tension to every living person. Our most ordinary and conventional attitudes seem suddenly twisted into gargoyles and grotesques. Familiar institutions and associations seem at times menacing and malignant. These multiple transformations, which are the normal consequence of introducing new media into any society whatever, need special study. The trauma and tension in the daily lives of citizens as described here by McLuhan was only intensified by the arrival of digital media and the Web in the following decades. The rapidly evolving digital realm held a powerful promise for creative and constructive good—a promise so alluring that much of the inquiry into this new environment focused on its potential rather than its profound impact on every sphere of civic, commercial, and private life. The totalizing scope of the combined effects of computerization and the worldwide network are the subject of the essays in The Digital Nexus, a volume that responds to McLuhan’s request for a “special study” of the tsunami-like transformation of the communication landscape. These critical excursions provide analysis of and insight into the way new media technologies change the workings of social engagement for personal expression, social interaction, and political engagement. The contributors investigate the terms and conditions under which our digital society is unfolding and provide compelling arguments for the need to develop an accurate grasp of the architecture of the Web and the challenges that ubiquitous connectivity undoubtedly delivers to both public and private life. Contributions by Ian Angus, Maria Bakardjieva, Daryl Campbell, Sharone Daniel, Andrew Feenberg, Raphael Foshay, Carolyn Guertin, David J. Gunkel, Bob Hanke, Leslie Lindballe, Mark McCutcheon, Roman Onufrijchuk, Josipa G. Petrunić, Peter J. Smith, Lorna Stefanick, Karen Wall.