Search Results (612)

In this paper, we examine the existing artificial intelligence policy documents in aviation for the following three regions: the United States, the European Union, and China. These global economic leaders were selected for their dominance in economic activity; as a result, their influence on aviation policy direction is a logical assumption. Historically, the aviation industry has always been a first mover in adopting technological advancements. This early adoption offers valuable insights because of its stringent regulations and safety-critical procedures. Consequently, the aviation industry provides an optimal platform to address AI vulnerabilities through its stringent regulations, standardized processes, and certification of new technologies. Our research aims to compare AI regulations across these regions to guide other sectors in shaping effective policies. The findings of our comparative analysis show that there are vastly differing approaches to the application of AI regulations in the aviation sector, thus weakening desired prospects for global cooperation and worsening existing geopolitical tensions. Therefore, we propose a hybrid model approach as a way forward. Under this model, regions maintain their distinctive AI policies but collaborate on high-risk aviation applications through joint working groups, shared safety intelligence, or mutual recognition agreements. This would preserve incentives for innovation but also reduce regulatory friction. Full article

Objective: We analyzed nanoparticle regulation research to examine the evolution of regulatory frameworks, identify major thematic structures, and evaluate current challenges in the governance of rapidly advancing nanotechnologies. By drawing parallels with the historical development of radiation regulation, the study aimed to contextualize emerging regulatory strategies and derive lessons for future governance. Methods: A total of 9095 PubMed-indexed articles published between January 2015 and October 2025 were analyzed using text mining, keyword frequency analysis, and topic modeling. Preprocessed titles and abstracts were transformed into a TF-IDF (Term Frequency–Inverse Document Frequency) document–term matrix, and NMF (Non-negative Matrix Factorization) was applied to extract semantically coherent topics. Candidate topic numbers (K = 1–12) were evaluated using UMass coherence scores and qualitative interpretability criteria to determine the optimal topic structure. Results: Six major research topics were identified, spanning energy and sensor applications, metal oxide toxicity, antibacterial silver nanoparticles, cancer nano-therapy, and nanoparticle-enabled drug and mRNA delivery. Publication output increased markedly after 2019 with interdisciplinary journals driving much of the growth. Regulatory considerations were increasingly embedded within experimental and biomedical research, particularly in safety assessment and environmental impact analyses. Conclusions: Nanoparticle regulation matured into a dynamic multidisciplinary field. Regulatory efforts should prioritize adaptive, data-informed, and internationally harmonized frameworks that support innovation while ensuring human and environmental safety. These findings provide a data-driven overview of how regulatory thinking was evolved alongside scientific development and highlight areas where future governance efforts were most urgently needed. Full article

The rapid and reliable geometric documentation of historic built heritage is a key requirement for a wide range of conservation, analysis, and risk assessment activities. In recent years, portable and wearable Simultaneous Localization and Mapping (SLAM)-based systems have emerged as efficient tools for fast 3D data acquisition, offering significant advantages in terms of operational speed, accessibility, and flexibility. This paper presents an experimental performance assessment of three portable SLAM-based mobile mapping systems applied to the 3D documentation of historic religious buildings. Two historic parish churches in the Lunigiana region (Italy) are used as case studies to evaluate the systems under real-world conditions. The analysis focuses on key performance indicators relevant to metric documentation, including georeferencing accuracy, 3D model accuracy, point cloud density and resolution, and model completeness. The results highlight the capabilities and limitations of the tested systems, showing that all instruments can efficiently capture the primary geometries of complex historic buildings, while differences emerge in terms of accuracy, data consistency, and readability of architectural details. Although the work is framed within a broader research project addressing seismic vulnerability of historic structures, this contribution specifically focuses on the experimental evaluation of SLAM-based surveying performance. The results demonstrate that portable SLAM systems provide reliable geometric datasets suitable for preliminary documentation tasks and for supporting further multidisciplinary analyses, representing a valuable resource for the rapid 3D documentation of historic built heritage. Full article

The digital transformation of electric power systems into smart grids has significantly expanded the cybersecurity risk landscape of the energy sector. While advanced sensing, communication, automation, and data-driven control improve efficiency, flexibility, and renewable energy integration, they also introduce complex cyber–physical interdependencies and new vulnerabilities across interconnected technical and organisational domains. This study adopts a scoping review methodology in accordance with PRISMA-ScR to systematically analyse smart grid cybersecurity from an architecture-aware and resilience-oriented perspective. Peer-reviewed scientific literature and authoritative institutional sources are synthesised to examine modern smart grid architectures, key security challenges, major cyberthreats, and documented real-world cyber incidents affecting energy infrastructure up to 2025. The review systematically links architectural characteristics such as field devices, communication networks, software platforms, data pipelines, and externally operated services to specific threat mechanisms and observed attack patterns, illustrating how cyber risk propagates across interconnected grid components. The findings show that cybersecurity challenges in smart grids arise not only from technical vulnerabilities but also from architectural dependencies, software supply chains, operational constraints, and cross-sector coupling. Based on the analysis of historical incidents and emerging research, the study identifies key defensive strategies, including zero-trust architectures, advanced monitoring and anomaly detection, secure software lifecycle management, digital twins for cyber–physical testing, and cyber-resilient grid design. The review concludes that cybersecurity in smart grids should be treated as a systemic and persistent condition, requiring resilience-oriented approaches that prioritise detection, containment, recovery, and safe operation under adverse conditions. Full article

Chatbots have emerged as a promising interface for facilitating access to complex datasets, allowing users to pose questions in natural language rather than relying on specialized technical workflows. At the same time, remote sensing has transformed archaeological practice by producing vast amounts of imagery from LiDAR, drones, and satellites. While these advances have created unprecedented opportunities for discovery, they also pose significant challenges due to the scale, heterogeneity, and interpretative demands of the data. In related scientific domains, multimodal conversational systems capable of integrating natural language interaction with image-based analysis have advanced rapidly, supported by a growing body of survey and review literature documenting their architectures, datasets, and applications across multiple fields. By contrast, archaeological applications of chatbots remain limited to text-based prototypes, primarily focused on education, cultural heritage mediation or archival search. This review synthesizes the historical development of chatbots, examines their current use in remote sensing, and evaluates the barriers to adapting such systems for archaeology. Four major challenges are identified: data scale and heterogeneity, scarcity of training datasets, computational costs, and uncertainties around usability and adoption. By comparing experiences across domains, this review highlights both the opportunities and the limitations of integrating conversational AI into archaeological workflows. The central conclusion is that domain-specific adaptation is essential if multimodal chatbots are to become effective analytical partners in archaeology. Full article

After nearly two decades of developments in Historic/Heritage Building Information Modeling (HBIM), the field has reached a stage of maturity that calls for a critical reassessment of its evolution, achievements, and remaining challenges. Digital representation has become a central component of contemporary heritage conservation, enabling advanced methods for analysis, management, and communication. This review examines the maturation of HBIM as a comprehensive framework that integrates extended reality (XR), artificial intelligence (AI), machine learning (ML), semantic segmentation and Digital Twin (DT). Six major research domains that have shaped recent progress are outlined: (1) the application of HBIM to restoration and conservation workflows; (2) the expansion of public engagement through XR, virtual museums, and serious games; (3) the stratigraphic documentation of building archaeology, historical phases, and material decay; (4) data-exchange mechanisms and interoperability with open formats and Common Data Environments (CDEs); (5) strategies for modeling geometric and semantic complexity using traditional, applied, and AI-driven approaches; and (6) the emergence of heritage DT as dynamic, semantically enriched systems integrating real-time and lifecycle data. A comparative assessment of international case studies and bibliometric trends (2015–2025) illustrates how HBIM is transforming proactive and data-informed conservation practice. The review concludes by identifying persistent gaps and outlining strategic directions for the next phase of research and implementation. Full article

Interventions on Heritage Buildings (HBs) involve significant challenges due to their tangible (embodied in the material, architectural, physical and technical integrity of the cultural asset), and intangible values (linked to socio-historical–cultural and collective identity, memory, customs and symbols meanings), which must be preserved while also adapting to current sustainability and circular economy goals. However, current conservation and management practices often lack systematic tools to trace, assess, and organise material and component information, hindering the implementation of circular strategies. In line with the European Union’s objectives for climate neutrality and resource efficiency and sufficiency, Material and Product Passports (MPPs) have emerged as digital tools that enhance data traceability, interoperability and transparency throughout a building’s lifecycle. This paper examines the potential of MPPs to support circular management of HBs by analysing the structure of MPPs and outlining the information flows generated by rehabilitation, maintenance and adaptive reuse strategies. A mixed methods approach, combining literature review and data structure analysis, is adopted to identify how the different categories of data produced during maintenance, rehabilitation and adaptive reuse processes can be integrated into MPP modules. The research highlights the conceptual opportunities of MPPs to document and interlink historical, cultural, and technical data, thereby improving decision-making and transparency across intervention stages. The analysis suggests that adapting MPPs to the specificities of historic contexts, such as authenticity preservation, reversibility, and contextual sensitivity, can foster innovative, sustainable, and circular practices in the conservation and management of HBs. Full article

An architectural and cultural heritage analysis is performed in this study by systematically examining the social significance of historical hammams in today’s Historical Peninsula of Istanbul, which symbolize washing–cleansing–hygiene activities and also have socialization–entertainment–economic dimensions, as well as reflecting urban development and change. Within this scope, 81 historic hammams listed as cultural heritage sites were researched using a multi-layered dataset that integrates on-site morphological studies and historical maps. The physical and intangible transformations of these hammams are analyzed based on a database of 24 examples documented through in situ observations of hammams still in active use, revealing the effects of changing cultural and historical contexts on these buildings. The other 19 examples, which are not currently operating as hammams but still exist as buildings, are assessed to determine their current purpose or whether they are undergoing restoration. The findings reveal the evolution of hammams and identify dominant architectural typologies, such as double and single hammams. In this paper, a conceptual framework is presented that places the cultural heritage–tourism combination within a broader discussion while also revealing the current state of hammams in the Historical Peninsula of Istanbul, the primary source of their physical and cultural existence and development. This study demonstrates that hammams constitute an important part and provide concrete evidence of regional cultural heritage areas, human–environment interactions, and the spatial representation of urban memory regarding preservation and transmission to future generations. Full article

Managing social diversity and fostering social cohesion have historically been vital to the nation-building processes in decolonized states. While the significance of education in addressing social diversity is well recognized, there is a limited research base on how education fosters social cohesion. This case study examines how Singapore utilized its education system as a tool to manage social diversity and to promote social cohesion. Thematic analysis of interviews conducted with educators, policymakers, and practitioners revealed several educational factors that supported the development of social cohesion. The primary data was supplemented by an analysis of relevant policies and education reform documents. Education was consistently prioritized as a strategic goal, supported by a clear political vision and robust leadership. The policy of multilingualism, multiculturalism, and meritocracy shaped its education system. A ‘realist-pragmatist’ philosophy shaped educational reforms, with a dual focus on securing economic stability and fostering social integration. Consequently, bilingual policies, technical and vocational education (TVET), and citizenship education emerged as central tools for advancing social cohesion. With limited natural resources, visionary leadership recognized education as the nation’s most valuable resource for progress. Singapore’s educational strategy exemplifies that deliberate, well-formulated policies can effectively integrate diverse populations and foster social unity. The educational reform experiences in Singapore provide valuable insights for multiethnic societies worldwide, emphasizing the importance of visionary leadership, pragmatic policy development, and viewing education as a strategic investment rather than merely an expenditure in nation-building. Full article

Background/Objectives: Endometriosis is a chronic, inflammatory, estrogen-dependent disease that has historically been underdiagnosed, especially in patients with unexplained infertility. On average, diagnosis is delayed by 11 years, underscoring the need for precision medicine to improve outcomes. To compare disease severity and anatomical distribution of endometriosis between patients with unexplained infertility who underwent noninvasive Receptiva BCL6 testing before surgery and those who did not. Methods: A cross-sectional analysis was conducted on 195 women with unexplained infertility and histologically confirmed endometriosis following diagnostic video laparoscopy, with or without robotic assistance. Disease severity was staged using updated guidelines. Anatomical sites of endometriosis were documented. Patients were grouped based on whether they had undergone the Receptiva BCL6 overexpression test prior to surgery. Results: Of the 195 patients, 43 underwent Receptiva testing; 41 of them tested positive and were confirmed to have endometriosis during surgery. These patients had fewer affected anatomical regions (3.14 ± 2.09) compared to those without testing (3.93 ± 2.26; p = 0.04). The No Receptiva group also had more high-stage cases (70.39% vs. 65.12%, p-value: 0.038). In both groups, endometriosis most frequently involved the periureteral region, rectovaginal septum, and ovaries, though ovarian tissue was rarely excised to preserve fertility. Conclusions: Among patients with unexplained infertility and confirmed endometriosis, those who had preoperative Receptiva testing showed lower disease burden and severity. These findings support the potential utility of noninvasive testing to enrich diagnostic accuracy and guide earlier, more targeted intervention. Full article

This article explores how female entrepreneurs construct and negotiate entrepreneurial identities across socialist, transition, and post-socialist periods in Slovenia. Drawing on feminist, post-structuralist, and identity-theory perspectives, we ask what determines women’s entrepreneurial identities and how multiple roles and changing institutions shape them. Using a qualitative multiple-case design, we analyze 15 information-rich cases selected through purposive sampling and based on in-depth semi-structured interviews and supporting documents. Qualitative content analysis and cross-case comparison identified patterns within and across the three periods. Results show that women’s motives combine economic, autonomy, and mission-driven goals; that entrepreneurial identity is closely intertwined with motherhood, partnership, and community roles; and that evolving ecosystems offer increasing but still fragmented support. Identity work intensifies at transitions between employment and entrepreneurship and when growth ambitions confront care responsibilities. We conclude that female entrepreneurial identities in Slovenia are historically and institutionally embedded and that gender-integrative, context-sensitive ecosystem measures are needed to support diverse entrepreneurial pathways and long-term, socially responsible growth. Full article

After the Spanish Civil War, the shortage of building materials in the country and the restrictions imposed by the Dirección General de Arquitectura limited the use of steel in construction, encouraging solutions that reduced the consumption of this material. In this context, the thin-tile vault gained new relevance due to its low cost, speed of execution and good structural and fire performance. Among the architects who revisited this system, Ignasi Bosch Reitg (1910–1985) developed an innovative procedure for the construction of continuous ceilings, based on double-curved vaults with a single layer of brick. His cousin, Josep Maria Bosch Aymerich (1917–2015), an industrial engineer and architect trained in the United States, brought a business vision to the table when he discovered the potential of this system. This paper proposes an in-depth study of the patents requested on this system by the two architects, questioning the reasons for their success or failure in different countries, both in terms of dissemination and exploitation, in regard to the historical context in which it was developed. The analysis, based on original documents from the Bosch Aymerich Archive, uncovers the tensions that the reinterpretation and global projection of a traditional technique can generate. Full article

The causal analysis of historical aviation accidents documented in investigation reports is important for the design, manufacture, operation, and maintenance of aircraft. However, given that most accident data are unstructured or semi-structured, identifying and extracting causal information remain labor intensive and inefficient. This gap is further deepened by tasks, such as system identification from component information, that require extensive domain-specific knowledge. In addition, there is a consequential demand for causation pattern analysis across multiple accidents and the extraction of critical causation chains. To bridge those gaps, this study proposes an aviation accident causation and relation analysis framework that integrates prompt engineering with a retrieval-augmented generation approach. A total of 343 real-world accident reports from the NTSB were analyzed to extract causation factors and their interrelations. An innovative causation classification schema was also developed to cluster the extracted causations. The clustering accuracy for the four main causation categories—Human, Aircraft, Environment, and Organization—reached 0.958, 0.865, 0.979, and 0.903, respectively. Based on the clustering results, a causation knowledge graph for aviation accidents was constructed, and by designing a set of safety evaluation indicators, “pilot—decision error” and “landing gear system malfunction” are identified as high-risk causations. For each high-risk causation, critical combinations of causation chains are identified and “Aircraft operator—policy or procedural deficiency/pilot—procedural violation/Runway contamination → pilot—decision error → pilot procedural violation/32 landing gear/57 wings” was identified as the critical causation combinations for “pilot—decision error”. Finally, safety recommendations for organizations and personnel were proposed based on the analysis results, which offer practical guidance for aviation risk prevention and mitigation. The proposed approach demonstrates the potential of combining AI techniques with domain knowledge to achieve scalable, data-driven causation analysis and strengthen proactive safety decision-making in aviation. Full article

Trails in heritage sites are useful ways to engage visitors with the place. Sensory trails proposed in this paper, engaged with the sensory walking method, are designed purposefully to engage the multi-sensory features onsite with prompts to link to the historic sensory elements that have historic and cultural meanings to the heritage sites. Two questions are asked: (1) What process can we follow to design sensory heritage trails? (2) What criteria can be used to evaluate and guide the sensory features on site and from historic documentations? Taking design research as the overarching methodology, this paper reflects on the creation of two sensory trails, Sensing Beyond the Roundhouse and Sensing Around the Anglesey Column, following the Double Diamond framework developed by UK Design Council. An iterative design framework was developed, beginning with the identification of constraints and sensory opportunities through site observations, document analysis, and stakeholder interviews, which leads to interpretations of sensory features to shape storylines and route planning informed by user analysis. It is followed by representing the trails through sensory maps and other low-cost creative formats and then validating proposed trails with communities and stakeholders via pilot walks and feedback sessions. Four criteria are generated to assess sensory features based on engagement and authenticity: their contribution to the authentic historic atmosphere of the site; their ability to trigger imagination and evoke nostalgia; their distinctiveness and relevance to the site’s heritage narratives; and their capacity to encourage physical interaction and embodied engagement. The discussion part argues that sensory trails can be used as place-based strategies to inform urban planning and development around the heritage site through three pathways: catalyst for improvements and developments, connect isolated heritage sites, generate place-based knowledge. Full article

The digitization of historic architecture increasingly relies on dense point clouds, yet the conversion of these datasets into structured Historic Building Information Models (HBIM) remains slow, inconsistent, and heavily dependent on manual interpretation. This paper introduces a classification-driven, mesh-based semi-automated workflow designed to close this gap by providing a controlled, repeatable path from raw TLS data to BIM-ready geometry. The method combines three elements strategically integrated into a unified framework: (1) pre-classified point cloud groups that establish a structured starting point, (2) mesh simplification and slice-based geometric reconstruction executed through Rhino and Grasshopper, and (3) direct BIM integration using Rhino.Inside.Revit to generate categorized HBIM components rather than passive mesh imports. The workflow is validated on an irregular exterior stone column from the historic chapel in Sopronhorpács, Hungary, an element characterized by surface erosion, asymmetric profiles, and deviations from verticality. This type of geometry typically challenges both manual modeling and fully automated shape-fitting. The proposed method reconstructed the column as a Revit Structural Column element with a substantial reduction in modeling time compared to a manual Scan-to-BIM workflow. A deviations analysis confirmed that the reconstructed geometry remained within the millimeter-level accuracy required for conservation-grade documentation. The study demonstrates that combining element-based classification, mesh preprocessing, and controlled semi-automation can significantly improve both the speed and reliability of Scan-to-HBIM processes without requiring technical expertise yet delivers results that align with the precision expected in scientific documentation. By formalizing the Pre-Classified Modeling Logic (PCML), the approach provides a foundation for reconstructing a wide range of heritage elements and establishes a practical step forward toward more efficient, interpretable, and accessible digital preservation practices. Full article