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Aloqaily A: Cross Country Pipeline Risk
Assessments and Mitigation Strategies

Cross Country Pipeline Risk Assessments and Mitigation Strategies

The book explores how emerging digital technologies can address the interconnected challenges of food security, climate change, and sustainability. It delves into AI-driven predictive models for crop yield estimation, IoT-enabled soil and water monitoring, and renewable energy-powered smart irrigation systems. The book highlights practical applications of big data, precision farming, and cloud platforms to enhance productivity, reduce ecological footprints, and improve resilience to climate change. With global case studies and interdisciplinary insights, it serves as a resource for researchers, students, farmers, agribusiness leaders, and policymakers, offering actionable strategies for transforming agriculture into a climate-resilient and resource-efficient sector.

AI, Technology, and Sustainability

Smart Solutions for a Changing Climate

Aviation Human Factors: Theory, Research, and Applications for Advanced Aviation Systems is a postgraduate textbook designed to address the unprecedented challenges facing contemporary aviation that existing texts fail to cover adequately. The progressive integration of artificial intelligence into flight-critical systems, the emergence of advanced air mobility platforms without established regulatory frameworks, the shift toward single-pilot and reduced-crew operations, and the digital transformation of air traffic management all raise critical questions about human performance that demand rigorous, up-to-date educational resources.This textbook offers operationally grounded coverage of how operators interact with automated systems, maintain situational awareness, preserve manual skills that high automation erodes, and exercise authority over increasingly autonomous technologies. It is built on a fundamental insight that transformed the field: accidents are not primarily the result of individual failure, but of the way systems around individuals are designed, organized, and managed. This realization demanded intellectual courage from investigators and institutional honesty from regulators, particularly in an industry built on professional standards and certification. Over decades, the field has developed the tools and evidence to demonstrate that system design lies at the heart of safety performance rather than human inadequacy.The textbook gives readers the theoretical frameworks, empirical knowledge, and critical thinking skills needed to address the defining human factors questions of next-generation aviation practice, ultimately helping them to understand and improve the conditions under which people can perform safely, sustainably, and with professional dignity. It is for postgraduate students in aviation human factors, aviation safety, aerospace human systems, and related disciplines. It is equally relevant to aviation professionals seeking to deepen their understanding of contemporary human factors challenges.This book will feature instructor PowerPoint slides, chapter summary sheets, case study teaching notes and a research methods resource guide.

Theory, Research, and Applications for Advanced Aviation Systems

Aviation Human Factors

Routledge Research in International Environmental Law

Aiming to identify the most effective tools and water governance innovations, and the circumstances that foster their successful implementation, this book examines some of the world's leading laboratories of non-urban water law and governance, evaluating the success of different governance forms, legal designs and institutional prescriptions.

Markets, Compliance and Technology

Next Generation Water Governance

With one famous equation, E=mc2, Einstein proved all matter can be described as energy. It is everywhere and everything. ‘There is no author whose books I look forward to more than Vaclav Smil.’ Bill Gates Turn on a light. Start the car. Boil water. Eat. Move. Breathe. Everything is energy. But what exactly is it? And how can we best harness it without destroying the planet in the process? Renowned scientist Vaclav Smil explores energy in all its facets – from the inner workings of the human body to the rise of modern industry and the race for more efficient and eco-friendly fuels. From the laws of thermodynamics to the latest developments in wind, solar and geothermal power, Energy: A Short History sheds light on the invisible network of energy that shapes all our lives, and how our daily decisions affect energy consumption.

A Short History

Energy

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale. It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

Contributions to Management Science

This edited volume explores how managerial perspectives can shape meaningful and satisfying organizational experiences in the context of evolving structures and sustainability challenges. While management research often draws on organizational theories such as institutional or agency theory, the exchange between organization studies and sustainability remains limited. This book bridges that gap by using sustainability as a critical lens through which to understand organizational behavior, legitimacy, and long-term strategy.Addressing topics such as corporate social responsibility (CSR), corporate citizenship, sustainability strategy implementation, and the management of complex multi-stakeholder relationships, this book emphasizes the need for scholarship that addresses environmental, organizational, and socio-economic issues across multiple levels, advocating for solutions that are integrated, inclusive, and transformative.

Models and Practices

Sustainable Organizations

Cheap Power Will Solve the Climate Crisis Within a Century

More Energy, Clean Planet

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

A Unified Machine-Learning-Compatible Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

REVOLUTION OF ELECTRIC VEHICLES BUSINESS

Human factors has always been at the heart of aviation, shaping its evolution from the earliest days of flight to the modern era of advanced technology. Despite the progress in aircraft design and automation, the human element remains a critical factor in ensuring safety and efficiency in aviation operations. This book looks at the significance of human factors, emphasizing that while the tools and environments may change, the role of people in delivering aviation services will only grow in importance. From the lessons of past incidents to the challenges of future innovations, this book sees the role of human understanding in navigating the complex world of the aviation industry.This title is an introductory text for newcomers and a reference guide for those already established in the aviation industry. Readers will find a comprehensive exploration of human factors in aviation which features real-world case studies and insights from experienced industry professionals. It examines the causes and consequences of human error, the strategies employed to mitigate risks, and the Safety Management Systems (SMS) that aim to enhance operational safety. Each chapter is designed to provide practical knowledge, supported by case studies that reinforce key concepts and encourage critical thinking. By bridging academic research with industry expertise, this book gives readers the tools to understand, address, and ultimately reduce human factor-related incidents, making it an invaluable resource for anyone seeking to improve aviation safety and performance.Aviation Operations and Human Factors: A Case-Based Approach is an essential read for human factors specialists, aviation professionals, students in civil aviation programs, and anyone with a vested interest in the safety and efficiency of the aviation sector. Its appeal extends to pilots, air traffic controllers and aviation engineers.

A Case-Based Approach

Aviation Operations and Human Factors

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Cross Country Pipeline Risk Assessments and Mitigation Strategies

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