Search Results (2,065)

Cybersecurity challenges are increasing in the rail industry because of constant technological evolution that includes the Internet of Things, blockchains, automation, and artificial intelligence. Consequently, many railroads and supply chain stakeholders have implemented strategies and practices to address these challenges. However, the pace of cybersecurity implementation in the railroad industry is slow even as cyberthreats escalate. This study uniquely integrates bibliometric analysis with a systematic literature review to provide a holistic view of cybersecurity trends in rail freight. The study analyzes 70 articles focusing on cybersecurity practices in the rail freight industry, structured around four research questions relating to: (1) challenges, (2) measures, (3) emerging trends, and (4) innovations. Key findings are that implementing cybersecurity practices in the rail freight industry comes with numerous challenges and risks. The study concludes that new threats will constantly emerge with technological advancements. Therefore, there is a need for continuous human training, collaboration, and coordination with stakeholders. This study also highlights research gaps and recommends how stakeholders can most appropriately execute cybersecurity strategies and best coordinate them with the various technological functions in the rail freight industry. Full article

South Africa is a leader in the scholarship on green urbanism in the Global South, but academic progress has not translated to broad implementation. Notably, government-subsidized housing projects have produced peripheral developments featuring low build quality, conventional gray infrastructure, and deficient socio-economic and environmental amenities. Declining delivery and increasing informal settlement spawned a 2014 shift to housing megaprojects to increase output and improve living conditions, socio-economic integration, and sustainability. The shift offered opportunities for a normative focus on greener development mirrored in the discourse surrounding project descriptions. Yet, the level of enactment has remained unclear. In reflecting on these points, this paper employs environmental justice as a theoretical framework and completes a comprehensive review of the academic literature on housing megaprojects and the depth of their greener development commitments. A three-phase, seven-stage review protocol retrieves the relevant literature, and bibliometric and qualitative content analyses identify publication trends and themes. Results indicate limited scholarship on new megaprojects with sporadic and superficial references to greener development, mostly reserved for higher-income segments and private developments. In response, this paper calls for more determined action to launch context-aware and just greener megaprojects and offers corresponding guidance for research and practice of value to South Africa and beyond. Full article

This study critically examines the applications of the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) in hydrological research from 2000 to 2023, with a focus on its use in event-based and continuous simulations. A bibliometric analysis reveals a steady growth in research productivity and identifies key thematic areas, including hydrologic modeling, climate change impact assessment, and land use analysis. Event-based modeling, employing methods such as the SCS curve number (CN) and SCS unit hydrograph, demonstrates exceptional performance in simulating short-term hydrological responses, particularly in flood risk management and stormwater applications. In contrast, continuous modeling excels in capturing long-term processes, such as soil moisture dynamics and groundwater contributions, using methodologies like soil moisture accounting and linear reservoir baseflow approaches, which are critical for water resource planning and climate resilience studies. This review highlights the adaptability of HEC-HMS, showcasing its successful integration of event-based precision and continuous process modeling through hybrid approaches, enabling robust analyses across temporal scales. By synthesizing methodologies, performance metrics, and case studies, this study offers practical insights for selecting appropriate modeling techniques tailored to specific hydrological objectives. Moreover, it identifies critical research gaps, including the need for advanced calibration methods, enhanced parameter sensitivity analyses, and improved integration with hydraulic models. These findings highlight HEC-HMS’s critical role in improving hydrological research and give a thorough foundation for its use in addressing current water resource concerns. Full article

The global energy transition is pivotal in mitigating climate change. In Chile, the energy system that includes hydropower faces challenges from prolonged megadroughts, necessitating diversification toward renewable energy sources like solar and wind energy. However, research gaps persist in understanding how these sources can optimally address climate-induced vulnerabilities. This study conducts a bibliometric analysis to identify global research trends on renewable energy strategies under extreme drought conditions, distinguishing it from systematic or narrative reviews. A bibliometric analysis was conducted using Scopus, incorporating 82 selected documents analyzed via Bibliometrix and VOSviewer to map co-authorship networks, keywords, and publications. Results revealed a significant increase in research on solar energy (26.83%) and renewable energy (25.61%) within the study period (2005–2024), with the most notable growth occurring in the last six years. Key findings include the predominance of studies on energy optimization, with solar and wind technologies emerging as pivotal for enhancing resilience in water-scarce regions. These insights underscore the strategic role of renewable energies in addressing climate vulnerabilities while supporting sustainable energy transitions. The implications of this work lie in guiding future research and policy frameworks to enhance energy security and environmental sustainability. Full article

This bibliometric study examines the evolution of compressed-hydrogen storage technologies over the last 20 years, revealing exponential growth in research and highlighting key advancements in compressed-hydrogen storage, materials-based solutions and integration with renewable energy systems. The analysis highlights the pivotal role of composite material tanks and the filament-winding process in revolutionizing storage technology. These innovations have enhanced safety, reduced weight and facilitated adaptation for use in automotive and industrial applications. Global research efforts are characterized by substantial international collaboration, spearheaded by a small cohort of highly productive researchers and supported by a broader network of contributors. Notwithstanding the ongoing challenges pertaining to safety considerations and cost scalability, the potential of hydrogen as a clean energy carrier and its role in balancing renewable energy systems serve to reinforce its importance in the transition to sustainable energy. Full article

Introduction: Recent advancements in diagnostic imaging technologies have significantly improved the field of dental medicine. This review examines these new imaging techniques and their impact on enhancing accuracy, enabling early detection, and facilitating effective treatment planning in dentistry. Methods: A bibliometric and content analysis was conducted on 61 peer-reviewed articles retrieved from the Scopus database, published between 2019 and 2024. The selection criteria focused on studies exploring advances in dental diagnosis through innovative imaging methods and personalized techniques for identifying oral pathologies. The bibliometric approach analyzed publication trends, while content analysis categorized emerging technologies and their clinical applications. Results: Our findings indicate a notable shift towards integrating cutting-edge technologies, including Cone Beam Computed Tomography (CBCT), artificial intelligence (AI), and biosensors. These advancements have significantly improved diagnostic accuracy, particularly in complex cases such as periodontal diseases, dental fractures, and oral infections. Studies demonstrate that molecular diagnostics and AI-driven algorithms enhance the personalization of treatment plans, optimizing patient outcomes. Conclusions: Emerging diagnostic technologies have the potential to enhance both the quality and efficiency of dental care. However, their implementation is challenged by high costs, the need for specialized training, and disparities in access. Future research should focus on refining AI-driven diagnostic models, addressing regulatory considerations, and expanding the clinical validation of novel imaging tools. As these technologies evolve, they are expected to increase diagnostic specificity, leading to more precise, patient-centered treatment approaches. Ultimately, these advancements offer substantial opportunities to transform dental practice by providing faster, less invasive, and more reliable diagnoses. Full article

Bananas (Musa spp.) are among the most widely consumed fruits globally, yet their high perishability and short shelf-life pose significant challenges to the postharvest industry. To address this, edible coatings have been extensively studied for their ability to preserve the physical, microbiological, and sensory qualities of bananas. Among various types of edible coatings, polysaccharide-based coatings, particularly chitosan, have emerged as the most effective. The dipping method is predominantly employed for their application, surpassing spraying and brushing techniques. This review integrates insights from bibliometric analysis using Scopus, revealing that research on edible coatings for bananas began in 2009, with 45 journals contributing to the field. Key trends, including publication growth, author contributions, and geographical focus, are explored through VOS-viewer analysis. Mechanistically, edible coatings enhance postharvest banana quality by limiting gaseous exchange, reducing water loss, and preventing lipid migration. Performance is further improved by incorporating active ingredients such as antioxidants, antimicrobials, and plasticizers. Despite their benefits over synthetic chemicals, the commercial adoption of edible coatings faces limitations, related to scalability and practicality. This review highlights these challenges while proposing future directions for advancing edible coating technologies for banana preservation. Full article

The substitution of fast-growing biogenic materials for high-carbon footprint extractive materials is increasingly discussed as a climate change mitigation tool. This review is based on a comprehensive literature search conducted in Scopus, Web of Science, and Google Scholar databases for publications, focusing on keywords such as “bamboo” and “sustainable construction”. Through this literature and bibliometric analysis, we identify the relative interest in timber bamboo as a sustainable building material and review the carbon-capturing and structural properties that underly bamboo’s growing research interest. However, this has yet to translate into any material degree of adoption in mainstream construction. Given the near absence of subsidies, regulatory mandates, and “green premiums”, timber bamboo must become fully cost-competitive with existing materials to achieve adoption and provide its carbon-mitigation promise. In addition to academic sources, the review draws on the professional expertise of the authors, who have extensive experience in the bamboo industry. Using this expertise, the main problems preventing timber bamboo’s cost competitiveness are analyzed with possible solutions proposed. The combination of rigorous research and industry insights ensures practical applicability. Finally, the beneficial climate prospects of adopting timber bamboo buildings in substitution for 25% of new cement buildings is projected at over 10 billion tons of reduced carbon emissions from 2035 to 2050 and nearly 45 billion tons of reduced carbon emissions from 2035 to 2100. Full article

This article provides a comprehensive analysis of the research dynamics on the use of Educational Data Mining (EDM) and predictive modeling (PM) in the era of Artificial Intelligence (AI) based on the review of 793 articles published between 2000 and 2024 in the Scopus database. The study employs bibliometric analysis and systematic literature review to identify emerging trends, methodologies, and applications in these fields. The main objective of the study is to examine the primary methodologies and innovations within AI, especially in the context of EDM and PM. It highlights how these technologies can optimize the prediction of student performance, support personalized learning, and enable timely interventions through the analysis of student data. The study also examines the role of AI in improving teaching practices, ensuring that educators maintain control over the system and minimize potential biases. Furthermore, the article addresses the ethical implications of AI implementation in education, such as privacy protection, algorithm transparency, and equity in access to learning. The findings suggest that AI has the potential to significantly improve educational outcomes and optimize student tracking, resource allocation, and the overall effectiveness of educational institutions. The responsible implementation of AI in education is emphasized to ensure inclusive and fair environments for all students. Full article

Forest soil organic matter (SOM) is a critical component of forest ecosystems and plays a vital role in the global carbon (C) cycle. Global climate change profoundly affects forest SOM dynamics, particularly its sources and formation processes, which are crucial initial stages of the forest soil C cycle. Therefore, understanding these processes and the impacts of climate change is essential for developing effective forest management strategies and climate policies. In this study, VOSviewer 1.6.18 was used to conduct a bibliometric analysis of research published from 1975 to 2024, retrieved from the Web of Science (WoS) Core Collection database, focusing on the sources and formation processes of forest SOM under climate change. The analysis covers annual publication trends, author co-occurrence networks, publication distributions by country and region, keyword clustering, and evolving keyword trends, integrating both quantitative results and a literature review to provide an understanding of the research progress in the field. The results highlight continuous growth in research publications, which can be categorized into four stages: initial emergence, sustained exploration, rapid development, and deep expansion. A solid theoretical foundation and good research strength have been established, driven by prominent academic groups led by researchers such as Jari Liski, as well as leading countries, including the United States and China. The research progress is divided into four topics: the sources of forest SOM; the formation processes of forest SOM; the impacts of climate change; and measurement methods and model-based analysis techniques, which mainly elaborate upon plant-, microbial-, and soil fauna-derived aspects. Research hotspots have evolved from basic C and nitrogen (N) cycles to in-depth studies involving microbial mechanisms and multiparameter climate change interactive effects. This study provides an overview of the research progress and hotspots in the field, offering basic knowledge and theoretical support for potential future research and climate change mitigation strategies. Full article

With the intensification of global climate change and urbanization, extreme rainfall and urban flooding have become increasingly frequent, making the flood tolerance of garden plants a key issue in urban landscaping and ecology. Identifying research progress and development trends in the waterlogging tolerance of garden plants, as well as selecting waterlogging-tolerant species, is a core strategy for advancing urban ecological development. This study employed the Web of Science database to conduct a systematic search using subject, title, and keyword criteria. After excluding irrelevant studies through full-text reviews, 164 articles were selected. Using bibliometric analysis, the research systematically reviewed relevant literature published over the past 21 years on waterlogging tolerance in landscape plants, both domestically and internationally, analyzing research trends and hotspots, while summarizing the physiological and molecular responses of garden plants in flood-prone environments. The research indicates significant differences in flood tolerance among different species of garden plants. The main research directions include morphology, physiology, molecular biology, ecology, cultivation, and species selection, with molecular biology emerging as a key area of development in recent years. Furthermore, in the context of global climate change, this study identifies 50 flood-tolerant plants with high ecological value, and proposes guidelines for selecting flood-tolerant species. It concludes by discussing future research directions in flood tolerance and the potential applications of these plants in urban landscaping, sponge city construction, and ecological restoration. Full article

New tools and applications that can be used to develop the sustainability of tourism activities have emerged with developments in technology. In this context, augmented reality (AR), one of these cutting-edge technologies, has been studied in sustainable tourism applications in recent years, and studies have been carried out in the relevant fields that contribute to the literature on this subject. In this context, this study aims to reveal the current status and trends in published studies on AR technology in sustainable tourism through a bibliometric and systematic review. For this purpose, 61 publications on the subject were identified in the Web of Science (WoS) database, and bibliometric and systematic content analyses were performed using VOSviewer 1.6.20 software. As a result of these analyses, bibliometric data, such as the number of publications and citations by year, the most cited authors, countries, publications, their collaboration relationships, sustainable development goals, WoS categories, and content information regarding the study themes and aims, were obtained. Accordingly, it was determined that publications on AR in sustainable tourism emerged in 2014 and continued to develop into a new research area. The potential gaps suggested based on the findings of this study will guide future research and the development in the relevant sectors. Full article

Microbial electrolysis cells (MECs) are receiving increasing scholarly recognition for their capacity to simultaneously remediate contaminated streams and generate renewable hydrogen. Within the realm of acid mine drainage (AMD) treatment, MECs demonstrate pronounced advantages by merging pollutant mitigation with hydrogen production, thereby attracting intensified research interest. Drawing on 1321 pertinent publications extracted from the Web of Science Core Collection (2004–2024), this bibliometric assessment systematically elucidates the current research landscape and prospective directions in MEC-based AMD remediation and H₂ synthesis. Key thematic areas encompass (1) a detailed appraisal of distinctive publication dynamics within this specialized domain; (2) insights into the principal contributing nations, institutions, journals, and academic fields; and (3) a synthesized overview of technological milestones, emerging investigative foci, and prospective developmental pathways. By critically reviewing extant knowledge, this evaluation offers meaningful guidance to researchers newly engaging with MEC-driven AMD treatment while illuminating the technological trajectories poised to shape the future of this evolving field. Full article

Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision agriculture improves agricultural productivity and profitability while reducing costs and environmental impact. However, ML implementation faces challenges such as managing large volumes of data and adequate infrastructure. Despite significant advances in ML applications in sustainable agriculture, there is still a lack of deep and systematic understanding in several areas. Challenges include integrating data sources and adapting models to local conditions. This research aims to identify research trends and key players associated with ML use in sustainable agriculture. A systematic review was conducted using the PRISMA methodology by a bibliometric analysis to capture relevant studies from the Scopus and Web of Science databases. The study analyzed the ML literature in sustainable agriculture between 2007 and 2025, identifying 124 articles that meet the criteria for certainty assessment. The findings show a quadratic polynomial growth in the publication of articles on ML in sustainable agriculture, with a notable increase of up to 91% per year. The most productive years were 2024, 2022, and 2023, demonstrating a growing interest in the field. The study highlights the importance of integrating data from multiple sources for improved decision making, soil health monitoring, and understanding the interaction between climate, topography, and soil properties with agricultural land use and crop patterns. Furthermore, ML in sustainable agriculture has evolved from understanding weather data to integrating advanced technologies like the Internet of Things, remote sensing, and smart farming. Finally, the research agenda highlights the need for the deepening and expansion of predominant concepts, such as deep learning and smart farming, to develop more detailed and specialized studies and explore new applications to maximize the benefits of ML in agricultural sustainability. Full article

Intelligent safety and security is significant for preventing risks, ensuring information security and promoting sustainable social development, making it an indispensable part of modern society. Current research primarily focuses on the knowledge base and research hotspots in the field of intelligent safety and security. However, a comprehensive mapping of its overall knowledge structure remains lacking. A total of 1400 publications from the Web of Science Core Collection (2013–2023) are analyzed using VOSviewer and CiteSpace, through which co-occurrence analysis, keyword burst detection, and co-citation analysis are conducted. Through this approach, this analysis systematically uncovers the core themes, evolutionary trajectories, and emerging trends in intelligent safety and security research. Unlike previous bibliometric studies, this study is the first to integrate multiple visualization techniques to construct a holistic framework of the intelligent safety and security knowledge system. Additionally, it offers an in-depth analysis of key topics such as IoT security, intelligent transportation systems, smart cities, and smart grids, providing quantitative insights to guide future research directions. The results show that the most significant number of publications are from China; the top position on the list of papers published by related institutions is occupied by King Saud University from Saudi Arabia. Renewable and Sustainable Energy Reviews, Sustainable Cities and Society, and IEEE Transactions on Intelligent Transportation Systems are identified as the leading publications in this field. The decentralization of blockchain technology, the security and challenges of the Internet of Things (IoT), and research on intelligent cities and smart homes have formed the knowledge base for innovative security research. The four key directions of intelligent safety and security research mainly comprise IoT security, intelligent transportation systems, traffic safety and its far-reaching impact, and the utilization of smart grids and renewable energy. Research on IoT technology, security, and limitations is at the forefront of interest in this area. Full article