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    Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts
    (MDPI, 2024-08-18) Zaino, Rami; Ahmed, Vian; Alhammadi, Ahmed Mohamed; Alghoush, Mohamad
    This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, the study addresses a critical gap in the existing literature, which often isolates the impact of EV adoption without considering holistic effects. Technological advancements include innovations in the battery technology and energy storage systems, enhancing EV performance and mitigating range anxiety. The environmental analysis reveals substantial reductions in greenhouse gas emissions, with lifecycle assessments showing significant reductions for EVs compared to internal combustion engine vehicles, particularly when charged with renewable energy sources. Key comparisons include lifecycle emissions between mid-size battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs), and global average lifecycle emissions by powertrain under various policy scenarios. The organizational implications are evident, as businesses adopt new models for fleet management and logistics, leveraging EVs for operational efficiency and sustainability. Policy analysis underscores the crucial role of government incentives, regulatory measures, and infrastructure investments in accelerating EV adoption. The review identifies future research areas such as efficient battery recycling methods, the potential impact of EVs on grid stability, and long-term economic implications. This study offers insights for stakeholders aiming to foster sustainable transportation and achieve global climate goals.
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    SWIPT-Enabled Relaying Networks for Next-Generation Wireless Systems: A Review of Achievable Rates and Future Challenges
    (IEEE, 2025-07-23) Zaino, Rami; Chuah, Teong Chee; Hassan, Mohamed
    Efficiently powering the billions of mobile devices currently in use is a growing challenge, as most of these devices are battery-operated and require substantial energy for reliable signal transmission. To address this, harvesting energy from radio frequency (RF) signals has emerged as a promising solution. This approach, known as Simultaneous Wireless Information and Power Transfer (SWIPT), has garnered increasing attention from both researchers and industry due to its potential to extend battery life. Among its various applications, relaying networks represent a key area in which SWIPT can make a significant impact. These networks offer improved coverage, higher data rates, lower latency, and better energy and spectral efficiency, which are critical attributes for meeting the demands of next-generation (5G/6G) ultra-dense wireless networks. In this paper, we provide a comprehensive review of SWIPT in relaying networks, exploring its principles, structures, protocols, and technical aspects. We also examine the achievable rates in SWIPT-enabled relaying networks and discuss how machine learning could enhance these systems, presenting it as a promising direction for future research. Finally, we highlight several key challenges that remain to be addressed, emphasizing the need for continued exploration in the rapidly evolving landscape of wireless technology.
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    Hidden Curriculum in the Uae. A Historical Analysis Higher Education GERs
    (2025-05) AlMheiri, Fatima AlMugarrab; Pedersen, Vernon
    This thesis interrogates the evolution of general education requirements (GERs) in higher education institutions (HEIs) across the United Arab Emirates (UAE) as vehicles for value transmission. If general education requirements (GERs) are approached as state-authored texts; deliberate, political, and ideological, what hidden curriculum emerges? What values are being subtly, but systematically, inscribed? GERs operate as quiet instruments of statecraft. Through them, the UAE embeds national values; discipline, loyalty, innovation, tolerance, productivity, and reverence, into the architecture of undergraduate education. Using a longitudinal, qualitative content analysis grounded in Phuong and Vanderstraeten’s (2024) analytical framework on the ideological function of educational content, this study analyses course catalogs, syllabi, and institutional policy documents from 1976 to 2025 across six key institutions: UAE University, Khalifa University, Zayed University, University of Sharjah, American University of Sharjah, and the Higher Colleges of Technology. Findings reveal recurrent curricular patterns. GERs have evolved in direct response to national developmental priorities, from early emphasis on religious and linguistic unity to the contemporary insertion of courses on innovation, sustainability, entrepreneurship, and global citizenship. Even courses in IT literacy or communication are never ideologically neutral; they carry implicit messages about modernity, order, and economic utility. In making visible the political architecture behind what is taught and why, this study contributes a critical lens to higher education policy in the Gulf and a deeper understanding of how states use curricula to script the future.
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    Utilization of Augmented Reality on Engineering Education
    (2025-05) Suhail, Nasija; Ahmed, Vian; Bahroun, Zied
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    Navigating Nexus: Cross-Mapping Sustainable Development Goals and Competitiveness for a Resilient Future
    (2025) Qazi, Abroon; Angell, Linda; Daghfous, Abdelkader
    This study investigates two established sustainability metrics—the Sustainable Development Goal Index (SDGI) and the Global Sustainable Competitiveness Index (GSCI)—to explore dependencies between their associated drivers using Bayesian Belief Networks (BBNs). The analysis considers sustainability performance data for 163 countries in 2023, using data from SolAbility’s Sustainable Competitiveness Report and the Sustainable Development Report. The predictive accuracy of the models used in this study is 85.1% for the SDGI and 70.6% for the GSCI for the two extreme states. Key findings underscore the strong interdependence between social and economic SDG dimensions and GSCI, whereas the environmental dimension appears relatively isolated in its contribution toward overall competitiveness. The study identifies key sustainable competitiveness pillars such as governance, social capital, and intellectual capital, highlighting their significant impact on SDGI outcomes. The results reveal that high competitiveness does not uniformly translate to high performance across all sustainability dimensions—with notable disparities in terms of environmental performance. Similarly, strong SDGI performance does not guarantee excellence in sustainable competitiveness. Scenario analysis reveals that high performance in ‘governance’, ‘social capital’, and ‘intellectual capital’ yields a 100% probability of achieving high SDGI performance. Moreover, high performance across the economic, social and environmental SDG dimensions ensures a 52% probability of achieving high sustainable competitiveness. BBNs reveal complex interrelationships among SDG dimensions and the various pillars of sustainable competitiveness, offering a more integrated and holistic approach compared to traditional methods. The proposed approach allows for the identification of critical drivers and offers a framework for scenario analysis, which can inform targeted policymaking and business strategies aimed at enhancing sustainability performance.

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