Search Results (2,215)

Accurate gas analysis plays a critical role in aerospace missions, including spacecraft safety assurance, crew health monitoring, and deep-space scientific exploration. Although conventional gas chromatography (GC) techniques are well established, their large size, high power consumption, and long analysis time limit their applicability in modern aerospace missions that require miniaturized, low-power, and highly integrated analytical systems. The development of microelectromechanical systems (MEMS) technology provides an effective pathway for the miniaturization of gas chromatography. MEMS-based micro gas chromatography columns enable the integration of meter-scale separation channels onto centimeter-scale chips through micro- and nanofabrication techniques, significantly reducing system volume and power consumption while improving analysis speed and integration capability. Compared with conventional GC systems, MEMS µGC exhibits clear advantages in size, weight, energy efficiency, and response time. This review systematically summarizes the fundamentals, structural designs, fabrication processes, and stationary phase preparation of MEMS micro gas chromatography columns. Representative aerospace application cases along with related experimental and engineering validation studies are highlighted; we re-evaluate these systems using Technology Readiness Levels (TRL) to distinguish flight heritage from concept demonstrations and propose a standardized validation roadmap for environmental reliability. In addition, key technical challenges for aerospace deployment are discussed. This work aims to provide a useful reference for the development of aerospace gas analysis systems and the engineering application of MEMS-based technologies. Full article

Understanding the economic performance of heritage-rich towns requires a systematic evaluation of how heritage-related components collectively contribute to revenue generation. Existing studies often examine heritage assets, socio-cultural factors, physical infrastructure, and local economic conditions independently, resulting in fragmented insights that limit comprehensive planning for local economic development. This study develops and validates an integrated Cultural Heritage Economy Model that quantifies the influence of heritage resources, social, physical, and economic aspects on revenue generation in heritage contexts. The model is conceptualized through a structured synthesis of theoretical literature and domain-specific indicators, followed by construct operationalization, expert validation, and pilot-level assessment. Using Structural Equation Modelling (SEM-PLS), the study demonstrates strong reliability, convergent validity, discriminant validity, and significant structural relationships. The predictive relevance of the final model is further evaluated through PLSpredict, confirming its suitability for future estimation. The findings confirm that revenue generation is a product of the combined and mutually reinforcing effects of heritage, socio-cultural, physical, and economic dimensions, rather than just by the influence of heritage resources. By offering this novel, empirically grounded, multidimensional framework to estimate heritage-driven economic outcomes, this research establishes a foundational model that can guide evidence-based resource allocation, policy formulation, and long-term sustainable urban development planning. Full article

The Cave of Altamira (Spain), a UNESCO World Heritage site, contains one of the most fragile and inaccessible Paleolithic rock-art environments in Europe, where geomatics documentation is constrained not only by severe spatial, lighting and safety limitations but also by conservation-driven restrictions on time, access and operational procedures. This study applies a confined-space UAV equipped with LiDAR-based SLAM navigation to document and assess the stability of the vertical rock wall leading to “La Hoya” Hall, a structurally sensitive sector of the cave. Twelve autonomous and assisted flights were conducted, generating dense LiDAR point clouds and video sequences processed through videogrammetry to produce high-resolution 3D meshes. A Mask R-CNN deep learning model was trained on manually segmented images to explore automated crack detection under variable illumination and viewing conditions. The results reveal active fractures, overhanging blocks and sediment accumulations located on inaccessible ledges, demonstrating the capacity of UAV-SLAM workflows to overcome the limitations of traditional surveys in confined subterranean environments. All datasets were integrated into the DiGHER digital twin platform, enabling traceable storage, multitemporal comparison, and collaborative annotation. Overall, the study demonstrates the feasibility of combining UAV-based SLAM mapping, videogrammetry and deep learning segmentation as a reproducible baseline workflow to inform preventive conservation and future multitemporal monitoring in Paleolithic caves and similarly constrained cultural heritage contexts. Full article

The Planting Oysters to Strengthen the Foundation (POSF) method, as a construction technique for coastal stone structures in the Northern Song Dynasty of China (1059), has been preserved to this day. Exploring its long-term reinforcement mechanism can provide theoretical support and practical guidance for the protection and sustainable development of world marine cultural heritage. This article uses Crustacean Ash Triad Clay (CATC) from Shihu Ancient Wharf in Quanzhou as a case study and conducts a systematic investigation using XRD, Raman, SEM-EDS, FTIR, and 16S rRNA high-throughput sequencing. The results show that CATC has a core skeleton of 94.6% quartz, with potassium feldspar, dolomite, and metal compounds as auxiliary components; that its 19.04% porosity provides enrichment space for positively charged ions and tide-borne microorganisms; that electrostatic adsorption between barnacle adhesive and the material achieves physical reinforcement; and that microbial metabolism promotes dolomite formation, producing chemical reinforcement. Thus, the ternary coupling of Biology–Environment–Materials forms a BEM long-term reinforcement mechanism suitable for low-carbon construction in the ocean. Full article

Thailand is globally recognized for its tourism potential and rich diversity of cultural and natural heritage. Community-based tourism (CBT), in particular, holds significant promise for inclusive and sustainable development. However, CBT initiatives across the country remain fragile in the face of uncertainty, whether from pandemics, climate events, or market shifts, and are often constrained by fragmented practices and the absence of a shared service development framework that addresses sustainability tensions. This study addresses that gap by developing and validating a sustainability-oriented new service development (NSD) process comprising five phases and sixteen steps, tailored specifically for CBT under uncertainty. Through expert interviews and iterative action research in two contrasting Thai communities, the process was refined to include tools for place identity, customer analysis, service testing, and adaptive planning. The framework enables CBT communities to move from ad hoc efforts to structured, resilient, and market-aligned service practices. Expert validation confirmed its effectiveness and adaptability, while also recommending digital transformation and financial integration as future directions. This process offers a pathway for improving CBT outcomes in Thailand, and a potentially adaptable framework for CBT development across diverse contexts in uncertain tourism environments. Full article

The industrial heritage of the Third Front construction (hereafter referred to as Third Front industrial heritage) serves as a significant physical manifestation of China’s urban society, economy, and culture during a unique historical period. Its widespread abandonment not only constitutes a waste of social resources but also accelerates the erosion of collective memory surrounding the Third Front initiative. As one of Sichuan Province’s (including present-day Chongqing) key Third Front construction regions during that era, Guangyuan City possesses a substantial legacy of Third Front industrial heritage sites. These sites are predominantly idle and face ongoing risks of deterioration, necessitating comprehensive and systematic research into their classification, protection, and regeneration. This paper focuses on 39 Third Front industrial heritage sites in Guangyuan City, employing architectural typology to construct a ‘type-medium-value’ research framework integrating field research with strategic distribution analysis at the urban level, spatial form analysis at the settlement level, and spatial combination analysis at the building level to quantitatively identify and qualitatively deconstruct the spatial logic of these sites. This enables the analysis of the functional characteristics, structural logic, and spatial intent embodied by different types, thereby exploring the multidimensional value implications of Third Front industrial heritage through this value medium. Ultimately, this research proposes targeted adaptive mechanisms and revitalisation pathways for Third Front industrial heritage. It aims to promote the cultural legacy of this heritage and perpetuate the Third Front spirit within the context of strengthening the Chinese national community consciousness in the new era, while aligning with the Party and state’s development strategies. This approach aims to provide a reference for revitalising and utilising Third Front industrial heritage in other underdeveloped regions. Full article

Knowledge related to the use of plants and mushrooms in the Baranja region of Croatia was documented through semi-structured interviews of 105 informants in 12 villages. We found 117 plant species and 7 mushrooms with medicinal uses. Rosaceae, Lamiaceae, and Asteraceae were the families with the most species, while Sambucus nigra, Chamomilla recutita, and Taraxacum officinale were the most frequently mentioned species. Leaves, fruits, and flowers were the most commonly used plant parts, predominantly prepared as infusions, syrups, and tinctures. Plants were mainly used to treat digestive and respiratory ailments, with the highest informant consensus recorded for ear, eye, and respiratory disorders. The results emphasize the persistence of rich ethnobotanical knowledge in the study area and highlight the importance of preserving this cultural and biological heritage for future generations. Full article

This study investigates and compares archaeological site management practices across diverse cultural contexts, focusing on how cultural factors influence preservation, stakeholder involvement, and management strategies. Employing a mixed-methods comparative design, the research integrates field observations, interviews with site managers and local stakeholders, and archival analysis. Three case studies, the Giza Necropolis in Egypt, Madain Saleh in Saudi Arabia, and the Al-Ain Archaeological Sites in the United Arab Emirates, form the empirical foundation for this analysis. Thematic and qualitative comparative analyses are used to identify cross-cultural patterns, challenges, and best practices. The findings reveal that management approaches are profoundly shaped by their respective cultural settings. Regions with strong traditions of community participation, such as Al-Ain, tend to integrate local knowledge and foster sustainable preservation outcomes. In contrast, state-dominated systems, as seen in Egypt and Saudi Arabia, often face constraints related to bureaucratic processes and limited local engagement. Across all contexts, factors such as governance structures, funding mechanisms, and cultural attitudes toward heritage emerge as decisive in shaping management effectiveness and sustainability. The results offer essential perspectives for the strategy of engaging local communities in the management of archaeological sites, and may be beneficial for implementation in other Arab countries. Full article

Artificial intelligence is reshaping approaches to architectural heritage conservation by enabling a deeper understanding of how people perceive and experience historic built environments. This study employs deep learning and large language models (LLMs) to explore public perceptions of the Qinghefang Historical and Cultural District in Hangzhou, illustrating how AI-driven analytics can inform intelligent heritage management and architectural revitalization. Large-scale public online reviews were processed through BERTopic-based clustering to extract thematic structures of experience, while interpretive synthesis was refined using an LLM to identify core perceptual dimensions including Hangzhou Housing & Residential Choice, Hangzhou Urban Tourism & Culture, Hangzhou Food & Dining, and Qinghefang Culture & Creative. Sentiment polarity and emotional intensity were quantified using a fine-tuned BERT model, revealing distinct affective and perceptual patterns across the district’s architectural and cultural spaces. The results demonstrate that AI-based textual analytics can effectively decode human–heritage interactions, offering actionable insights for data-informed conservation, visitors’ experience optimization, and sustainable management of historic districts. This research contributes to the emerging field of AI-driven innovation in architectural heritage by bridging computational intelligence and heritage conservation practice. Full article

In the era of digital intelligence, cultural heritage is undergoing a profound transformation. This study investigates how digital technologies facilitate the inheritance and innovation of traditional culture in China, focusing on the case of Huangyan’s Song Rhyme Culture in Zhejiang Province. Drawing on the framework of “glocalized intelligent heritage,” the research explores how global technological systems interact with local cultural practices to produce new forms of cultural continuity. Methodologically, the study employs a qualitative case study approach supported by empirical data. It combines policy analysis, semi-structured interviews with twenty-six stakeholders, field observations, and quantitative indicators such as visitor statistics, online engagement, and project investment. This mixed design provides both contextual depth and measurable evidence of digital transformation. The findings show that digital intelligence has reshaped cultural representation, platform-based public engagement, and local sustainability. In Huangyan, technologies such as AI-based monitoring, 3D modeling, and VR exhibitions have transformed heritage display into an interactive and educational experience. Digital media have enhanced public engagement, with more than 1.2 million virtual visits and over 20 million online interactions recorded in 2024. At the same time, the project has stimulated cultural tourism and creative industries, contributing to a 28.6% increase in cultural revenue between 2020 and 2024. The study concludes that digital intelligence can function as a cultural bridge by strengthening heritage mediation, widening access, and enabling platform- and institution-based participation, while noting that embodied intergenerational cultural transmission lies beyond the direct measurement of this research design. Full article

Mosque architecture often exhibits distinct identities, elements, and forms associated with geographical locations or dynastic patronage in the Islamic world. However, there has been a significant paradigm shift in mosque architecture over the past century, with external factors influencing the construction and sustainability of contemporary mosques. This study examines the evolution of mosque architecture in Nigeria, concentrating on the Ilorin Central Mosque as a pivotal case study connecting the northern and southern regions. The study employs a qualitative research methodology, utilizing descriptive approach, historical research, architectural analysis, and field observations to examine the architectural language, urban context, and socio-historical factors shaping the mosque’s development. Although geographical settings have always influenced traditional religious designs in Nigeria, the findings reveal a transformation from simple mud structures to grand modern edifices. The Ilorin Central Mosque exemplifies this shift, with its Ottoman-inspired domes and minarets contrasting with the traditional vernacular mosques of the 19th century. The study highlights the challenges of globalization, sustainability, foreign architectural influences, and the tension between local identity and contemporary trends in mosque architecture. The study concludes by arguing that future mosques must reintegrate regionalism, local materials, and climate-responsive principles into contemporary aesthetics while considering the quintessential principles of the Prophet’s Mosque and the religious and social significance of mosques within the urban fabric. The Ilorin Central Mosque exemplifies a microcosm of the transformations in Nigerian mosque architecture, highlighting the necessity of a balanced approach that embraces both cultural heritage and contemporary needs. Full article

This study aims to examine the methodological applicability of the Theory of Inventive Problem Solving (TRIZ) in the conservation and revitalization of traditional military settlements. Using Zhenjing Village in Jingbian County as a case, the research constructs a systematic framework for contradiction identification and strategy generation. Methods: Through preliminary surveys, data integration, and system modeling, the study identifies major conflicts among authenticity preservation, ecological carrying capacity, and community vitality in Zhenjing Village. Technical contradiction matrices, separation principles, and the Algorithm of Inventive Problem Solving (ARIZ) are employed for structured analysis. Further, system dynamics modeling is used to simulate the effectiveness of strategies and to evaluate the dynamic impacts of various conservation interventions on authenticity maintenance, ecological stress, and community vitality. The research identifies three categories of core technical contradictions and translates the 39 engineering parameters into an indicator system adapted to the cultural heritage conservation context. ARIZ is used to derive the Ideal Final Result (IFR) for Zhenjing Village, which includes self-maintaining authenticity, self-regulating ecology, and self-activating community development, forming a systematic strategy. System dynamics simulations indicate that, compared with “inertial development,” TRIZ-oriented strategies reduce the decline in heritage authenticity by approximately 40%, keep ecological pressure indices below threshold levels, and significantly enhance the sustainability of community vitality. TRIZ enables a shift in the conservation of traditional military settlements from experience-driven approaches toward systematic problem solving. It strengthens conflict-identification capacity and improves the logical rigor of strategy generation, providing a structured and scalable innovative method for heritage conservation in arid and ecologically fragile regions in northern China and similar contexts worldwide. Full article

Bioarchaeology continues to generate growing volumes of data from finite and often destructively sampled resources, making data reusability critical according to FAIR principles (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility and Ethics). However, much valuable information remains trapped in grey literature, particularly PDF-based reports, limiting discoverability and machine processing. This paper explores Natural Language Processing (NLP) and Named Entity Recognition (NER) techniques to improve access to osteoarchaeological and palaeopathological data in grey literature. The research developed and evaluated the Osteoarchaeological and Palaeopathological Entity Search (OPES), a lightweight prototype system designed to extract relevant terms from PDF documents within the Archaeology Data Service archive. Unlike transformer-based Large Language Models, OPES employs interpretable, computationally efficient, and sustainable NLP methods. A structured user evaluation (n = 83) involving students (42), experts (26), and the general public (15) assessed five success criteria: usefulness, time-saving ability, accessibility, reliability, and likelihood of reuse. Results demonstrate that while limitations remain in reliability and expert engagement, NLP and NER show clear potential to increase FAIRness of osteoarcheological datasets. The study emphasises the continued need for robust evaluation methodologies in heritage AI applications as new technologies emerge. Full article

Despite its rich cultural heritage, the Yellow River Basin (YRB) faces challenges of ecological fragility and unbalanced development that constrain residents’ welfare improvement. Cultural–tourism integration (CTI)—aimed at creating employment, optimizing industrial structure, and improving public services—is increasingly promoted as a pathway to enhance people’s livelihood and well-being (PLW). Grounded in industrial integration theory and welfare economics, this study examined the impact effects, transmission mechanisms, and spatial spillovers of CTI on PLW. Panel data from 75 prefecture-level cities in the YRB, spanning 2011 to 2023, were utilized, and multi-dimensional indices were constructed for both CTI and PLW. Impact effects, mediating mechanisms, and spatial spillovers were examined through kernel density estimation, a dynamic system generalized-method-of-moments (SYS-GMM) model, mediation analysis, and a spatial Durbin model (SDM). The results showed that CTI and PLW both improved over time and displayed a spatial pattern of “midstream and downstream leading, upstream lagging”. CTI significantly promoted PLW, after controlling for dynamics and endogeneity (SYS-GMM coefficient = 0.130, p < 0.01). Industrial structure upgrading acted as a positive mediator, whereas digital infrastructure exhibited a short-term suppressing (negative mediating) effect, implying a phased mismatch between CTI investment priorities and digital input. Spatial estimates further indicated that CTI generated positive spillovers, improving PLW in neighboring cities, in addition to local gains. These findings suggest that basin-wide coordination and better alignment between CTI projects and digital infrastructure are essential for inclusive and sustainable well-being improvements, supporting regional progress toward the Sustainable Development Goals. 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