Search Results (325)

Nature-based solutions (NBSs) involving tree-based interventions deliver multiple community benefits, yet evidence linking these benefits to underlying socio-ecological vulnerabilities remains limited. This study synthesised metadata from 131 European treescape NBS case studies spanning eight biogeographical regions using reverse-logic, thematic qualitative analysis. Case studies were identified via adapted PRISMA guidelines from open-access repositories, with community benefit themes categorised and mapped spatially across bioregions. The analysis revealed eleven principal community benefit categories and distinct region-specific patterns: Mediterranean interventions primarily mitigated extreme heat and drought vulnerabilities, whilst Alpine projects addressed slope stability and hazard reduction. The Continental and Atlantic regions emphasised social cohesion, recreational access, and the preservation of cultural heritage. The reverse-logic methodology successfully identified underlying socio-ecological vulnerabilities through systematic analysis of observed benefit profiles across diverse European contexts. This approach provides evidence-based guidance for designing location-sensitive treescape NBS that advance environmental research and public health objectives. The findings establish a methodological foundation for future assessments of NBS effectiveness and for refining location-specific treescape interventions that address community vulnerabilities and enhance adaptive capacity. Full article

As a form of living heritage, Historic Urban Landscapes (HULs) have long been limited by the static perspectives and reductionist tendencies of conventional conservation and research approaches. Although the geological and archaeological concept of “stratification” offers a methodological basis for understanding the diachronic evolution of heritage, its unidimensional temporal lens fails to capture the inherent complexity and systemic nature of historic urban landscapes. To address this gap, this study proposes a “multidimensional stratification” theoretical framework through theoretical critique and paradigm reconstruction. The framework introduces innovations at the ontological, epistemological, and methodological levels, positing that the evolution of historic urban landscapes emerges from the nonlinear interaction and dynamic interweaving of four core dimensions: time, space, society, and value. It further systematizes five intrinsic attributes of such landscapes: authenticity, integrity, continuity, adaptability, and dynamism. Building on this foundation, the paper constructs a systematic analytical pathway—elements–processes–patterns–modes–drivers–characteristics—that enables dynamic analysis from micro-level identification to macro-level generalization, offering a scalable tool for HUL conservation and regeneration. To demonstrate the framework’s applicability, the historic urban area of Shenyang—a nationally designated historical and cultural city—is selected as a case study. Its urban landscape comprises four core districts: the Shengjing City District, the South Manchuria Railway Concession District, the Commercial Port District, and the Tiexi Industrial District, representing historical strata from the Qing dynasty capital, modern colonial planning, commercial opening, to industrial heritage. Using the multidimensional stratification approach, this study elucidates the spatial complexity, temporal nonlinearity, social dynamism, and value pluralism embedded in Shenyang’s historic urban area. Corresponding conservation strategies grounded in holism, dynamism, and differentiation are proposed. The research not only advances the theoretical understanding of HUL but also provides a novel paradigm—integrating holistic, dynamic, and operational perspectives—for the conservation, renewal, and regenerative practice of historic urban landscapes worldwide. Full article

While digital heritage preservation often prioritizes visual fidelity, it frequently overlooks cultural narratives and emotional resonance. This study proposes a systematic human-centered design (HCD) framework integrating the Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) to optimize Virtual Reality (VR) museums for ancient bronze vessels. By mapping 35 user requirements onto 25 technical parameters through the House of Quality (HOQ), the research identifies “Cultural Memory Inheritance,” “Artistic Expression,” and “Emotional Resonance” as the pivotal requirements. These findings suggest that technical specifications should serve as a foundation for narrative depth rather than as ultimate objectives. A synergistic strategy—comprising technical implementation, semantic translation, and effectiveness enhancement—is delineated to guide design priorities. Validated through a prototype VR system, this framework offers a replicable, data-driven methodology for cultural digitization, advocating for a value-oriented paradigm in immersive museum design grounded in authenticity and emotional engagement. Full article

Historic towns and villages face growing conservation pressures as globalization exposes tensions between universal standards and culturally specific practices. We compare Western frameworks associated with UNESCO and ICOMOS with China’s national regulations for historic settlement conservation, focusing on differing assumptions about heritage value, authenticity, and preservation–development trade-offs. Systematic text analysis of 17 foundational policy and doctrinal documents shows that the Venice Charter tradition prioritizes material authenticity and expert-led minimal intervention, whereas Chinese regulations operationalize spatial–visual integrity (traditional pattern and historic townscape) and explicit socio-economic integration. Building on this complementarity, we propose a provisional dual-track decision-support framework as a proof of concept. Track 1 safeguards material-authenticity cores for exceptional sites; Track 2 supports living-heritage cores for inhabited settlements; and hybrid designations accommodate mixed cases. Framework application unfolds in two stages: designation screening, followed by implementation-feasibility assessment, with a phased Track 2-Lite pathway for contexts in which binding participatory governance is not yet viable. Illustrated through four UNESCO World Heritage Sites using secondary data, the framework links cultural preservation with economic viability, climate adaptation, and community stewardship, while acknowledging that its thresholds and governance templates remain heuristic and require broader empirical validation. The approach supports SDG target 11.4 and SDG 13 and advances methodological and authenticity pluralism beyond simple preservation–development binaries. Full article

Annotation and indexing of classical Chinese medical texts enable the extraction of core information, facilitating structured annotation and standardised indexing. These processes provide essential support for knowledge retrieval, digital utilisation, and in-depth analysis of these texts. Recent advances in digital technologies have opened new possibilities for annotation and indexing, offering transformative approaches to address challenges arising from the abstract, concise, and complex nature of classical Chinese medical literature. However, existing research has largely overlooked the intrinsic interconnection and synergistic mechanisms between annotation and indexing within the workflow. This study examines annotation and indexing as an integrated whole, reviewing the current state of research, identifying existing challenges, and proposing future directions. The findings reveal that major challenges in the annotation and indexing of classical Chinese medical texts centre on four key areas: cultural connotation, rule formulation, result dissemination, and technical algorithms. Addressing these issues requires a systematic approach, including the development of a cultural heritage framework for Traditional Chinese Medicine, the establishment of standardised annotation and indexing principles, the construction of high-quality corpora, the optimisation of data circulation mechanisms, and the refinement of intelligent algorithms. Advancing the annotation and indexing of classical Chinese medical texts not only promotes their efficient circulation and secondary utilisation but also lays a solid foundation for the large-scale mining of Traditional Chinese Medicine knowledge, its modern transmission, and cross-disciplinary intelligent applications, thereby driving the innovative development of the field. Full article

The Jinshanling Great Wall is an important part of the Ming Great Wall, the most important material cultural heritage of China, and is currently facing a significant threat of microbial degradation due to the widespread biological weathering of open-air masonry buildings. This study focuses on the Qilin Screen Wall and Text Brick Wall of the Jinshanling Great Wall, utilizing scanning electron microscopy (SEM) and metabarcoding analyses to reveal the diverse microbial communities coexisting on the masonry surfaces, including various lichens, molds, and bacteria. Twelve fungal strains were successfully isolated. The antimicrobial experiment results indicated that 0.6% isothiazolinone-based antimicrobial BC01, 50 mg/mL carvacrol and 50 mg/mL thymol exhibited a certain degree of antimicrobial activity against these strains. Overall, this study has laid a solid foundation for microbial control of the masonry Great Wall through in-depth analysis of microbial community structure and screening of highly effective antimicrobials. Full article

Preserving ancient languages is essential for understanding the cultural and linguistic heritage of humanity. Old English, however, remains critically under-resourced, which limits its accessibility to modern natural language processing (NLP) techniques. We present a scalable framework that uses advanced large language models (LLMs) to generate high-quality Old English texts to address this gap. In this study, we specifically employ state-of-the-art models, including Llama-3.1-8B and Mistral-7B, as our foundation models, which are then adapted to the unique characteristics of Old English. Our approach combines parameter-efficient fine-tuning (Low-Rank Adaptation (LoRA)), data augmentation via back-translation, and a dual-agent pipeline that separates content generation (in English) and translation (into Old English). Evaluation with automated metrics (BLEU, METEOR, and CHRF) shows improvements over baseline models, with BLEU scores increasing from 26 to over 65 for English-to-Old English translation. Expert human assessment confirms high grammatical accuracy and stylistic fidelity in the generated texts, with average scores of 9.0/10 for inflection and word order, 9.1/10 for lexical authenticity, and 7.8 for semantic coherence. These results demonstrate that the framework can reliably expand limited historical corpora while maintaining linguistic integrity, with immediate practical applications in digital humanities research, computational philology, and the development of educational resources for Old English study. Beyond expanding the Old English corpus, our method offers a practical blueprint for revitalizing other endangered languages, thus linking AI innovation with the goals of cultural preservation. Full article

Waterfront brownfield urban public parks (WBUPPs) are complex regeneration projects that require comprehensive assessment of environmental remediation, climate resilience, urban connectivity, and social well-being. This study proposes a structured GIS-based spatial analysis protocol that operationalizes key attributes of brownfields, waterfronts, public parks, and sustainability, with the aim of examining how digital tools can support WBUPP planning processes. Using free and open source resources and datasets (QGIS and OpenStreetMap), the approach produces eight core thematic maps that spatially organize 39 of 50 criteria identified from the literature and classified under economic, environmental, and social sustainability dimensions. This mapping protocol streamlines navigation for planners through complex datasets and offers researchers a foundation for thematic spatial analyses aligned with these literature-based criteria. The protocol is illustrated with Brooklyn Bridge Park in New York City—an 85-acre waterfront redevelopment that demonstrates heritage conservation, ecological restoration, and financial viability. The results highlight identifiable spatial patterns such as dual zones (urban buffer and recreation), winding pathways, and clustered amenities. At the same time, the analysis underscores the importance of data validation, as inconsistencies in volunteered geographic information require cross-referencing with multiple sources and field verification. The analysis shows that WBUPPs require tailored approaches that integrate land–water mobility, heritage adaptation, nature-based solutions, and equitable service distribution. This criteria-driven protocol offers adaptable guidance for future waterfront brownfield regeneration, while emphasizing that digitalization enhances the process, but it cannot replace hybrid analytical methods that combine quantitative spatial analysis with qualitative evaluations. Full article

As China’s first World Heritage Mixed Property site, Mount Tai enjoys international renown, with its historic buildings serving both as the central carriers of its cultural heritage and as significant tourism resources. Existing studies have predominantly emphasized the form, scale, and construction techniques of individual buildings or architectural complexes, while less attention has been given to the overall spatial pattern shaped by the interplay of natural and social environments and to the mechanisms underlying its formation. Taking the administrative area of Tai’an City as the study extent, this research selects 451 officially protected historic buildings, classified by period and type, and employs GIS-based spatial analysis and statistical methods to examine their spatiotemporal distribution patterns and influencing factors. The results indicate the following. (1) The temporal distribution exhibits an И-shaped fluctuation pattern, with ancient architecture and ancient sites together accounting for nearly 60% of the total and constituting the core resource categories. This distribution curve is shaped jointly by preservation conditions, social stability, and heritage designation preferences. (2) The spatial distribution displays a pronounced clustering pattern, with the kernel density core shifting over forty kilometers from southwest to northeast, generating an evolutionary trajectory from Dawen River basin agglomeration to Mount Tai mountain belt agglomeration. (3) The overall pattern is associated with both natural and anthropogenic factors. During the early stages, natural conditions such as hydrology and topography provided foundational constraints, whereas in later periods, human factors, including fengshan ritual culture, religious activities, economic development, and institutional governance, exhibit increasingly apparent associations with the distribution pattern. Based on these findings, this study proposes a strategic spatial framework comprising one cultural pilgrimage ring and four thematic corridors, which translates the spatial analytical results into planning implications for the regional integration of historic building resources, and discusses differentiated conservation strategies, thereby providing an analytical foundation and a reference pathway for the dissemination of Mount Tai culture and the sustainable development of heritage tourism. Full article

The preservation of cultural heritage presents persistent challenges due to the heterogeneity of methodologies, data structures, and information requirements involved in heritage projects. While conventional Building Information Modeling (BIM) workflows commonly rely on the Level of Development (LOD), heritage contexts require flexible and requirement-driven approaches to manage both geometric and semantic information according to stakeholder needs. To address these challenges, this study adopts a design-oriented approach that investigates the integration of the Level of Information Need (LOIN) within an OpenBIM-based Historic Building Information Modeling (HBIM) framework. The proposed methodology combines a systematic literature review with a practical case study to develop and implement an interoperable workflow articulating HBIM, Level of Information Need (LOIN), Industry Foundation Classes (IFC), and Information Delivery Specification (IDS). Within this framework, LOIN governs the relevance and granularity of information, while IFC and IDS ensure interoperability, data exchange, and conformity checking. The methodology is applied to a Moroccan heritage case study focusing on the documentation and management of building pathologies, including cracks, humidity, capillary rise, and material degradation. The results demonstrate that the proposed approach overcomes the limitations of LOD by enabling requirement-driven information management, thereby improving pathology documentation and supporting informed decision-making for cultural heritage conservation. Full article

This study explores Serbia’s rich ethnopharmacological heritage by systematically documenting the traditional use of medicinal plants for treating skin diseases during the 19th and 20th centuries. Drawing on key ethnographic sources—including monographs, scholarly articles, and field reports—the review analyzes historical records of folk medicine practices and their cultural contexts. A total of 164 plant species from 63 botanical families, as well as one mushroom species, were identified as being used in the treatment of skin-related conditions classified according to the International Classification of Primary Care. Reported ailments were grouped into three main categories: hair and scalp disorders, bites, and various inflammatory skin conditions such as eczema and psoriasis. Remedies for wound healing were the most frequently documented, both in terms of application and diversity of plant species employed. By preserving and systematizing this historical knowledge, the study provides a valuable foundation for future pharmacological and dermatological research, highlighting the continued relevance of traditional remedies in modern clinical practice. Full article

Public deployment of generative AI in cultural institutions is constrained by small, rights-restricted datasets, strict latency and runtime-stability requirements, and limits on visitor-data collection. This study presents a deployment-oriented framework for adapting a pre-trained text-to-image diffusion foundation model to a heritage-specific visual domain using Low-Rank Adaptation (LoRA). A Stable Diffusion v1.5 backbone is specialized through data-centric curation and LoRA fine-tuning, then served through an asynchronous edge architecture that links a Unity client and a local Python (version 3.10) inference server for public-facing operation on a native 400 × 1080 vertical canvas. To support deployment decisions without collecting personally identifiable information, the system records only anonymous operational logs and evaluates sustained-load behavior under repeated inference. In a 1000-iteration profiling test, the proposed configuration maintained stable runtime behavior without observable upward memory drift, with a peak allocated VRAM of 3.04 GB and an average end-to-end latency of 3.12 s. An 8 h field deployment further indicated service continuity under public interaction, while a CLIP-based proxy analysis under matched prompts and seeds suggested improved relative style controllability after adaptation (0.848 vs. 0.799). Rather than claiming cultural authenticity or visitor-level effects, this study offers a data-centric, deployment-oriented methodology for operating public-facing generative AI under small-data, latency, and privacy constraints. Full article

Urban heritage structures are most commonly understood as memorial artifacts, tourism assets, or redevelopment resources. While this common view acknowledges cultural and economic value, it overlooks a deeper function of heritage within the long evolution of human settlements. This paper advances a counter thesis: in addition to its historic contingencies and power relationships—which are real, but only part of the picture—urban heritage embodies valuable but often hidden intelligence that is highly relevant to contemporary urban challenges. Specifically, heritage environments encode useful structured information about spatial configurations that have gained adaptive value over time in a process known as stigmergy. Drawing on complexity science, network theory, the mathematics of symmetry, and theories of extended cognition, the paper argues that enduring urban forms persist not only for symbolic or historical reasons, but because they embed structural properties conducive to resilience, legibility, social interaction, climatic adaptation, and human well-being. Recurring characteristics include fine-grained network connectivity, fractal scaling hierarchies, organized symmetry, articulated thresholds, and biophilic integration. Evidence from environmental psychology, public health, and urban morphology suggests that such properties correlate with reduced stress, increased walkability, stronger social capital, and improved ecological performance. The paper proposes a methodological framework—what we call the Adaptive Patterns Model—for identifying, evaluating, and translating this embedded intelligence into contemporary regeneration practice. The Model is presented as a four-phase, conceptually synthesized framework—integrating insights from complexity science and stigmergy, urban morphological analysis, and pattern-language methodology—comprising documentation, pattern extraction, encoding, and performance correlation. It concludes by challenging a still-prevalent assumption that contemporary conditions invalidate accumulated spatial knowledge. Instead, urban heritage is understood as adaptive capital within an ongoing evolutionary process, offering a structurally grounded foundation for resilient urban transformation. Full article

Under the dual pressures of urbanization and tourism development, the Historic Centre of Macao, as a World Cultural Heritage site, faces challenges including the inadequate transmission of cultural elements and the excessive commercialisation of tourism development. To systematically identify and safeguard its cultural characteristics, this study introduces the theory of cultural genes, constructing a dual-strand identification model encompassing both tangible and intangible cultural genes. This model integrates architectural function, structure, and ornamentation, alongside indigenous religions, arts, and folklore, thereby achieving a comprehensive extraction of cultural elements. Building upon this foundation, the study employed the AHP-fuzzy comprehensive evaluation method to quantitatively assess the degree of identification with various cultural elements, integrating perspectives from three distinct groups: tourists, residents, and third-party experts. The findings revealed significant disparities in cultural identification across these groups. For instance, residents demonstrated the highest level of identification with beliefs and folk customs, whilst tourists favoured more tangible aspects such as decorative elements and cuisine, exhibiting generally weaker identification with architectural structures. The findings demonstrate that this study, through the establishment of a systematic framework for identifying cultural genes and a multi-stakeholder evaluation system, has accurately discerned the characteristics of various cultural genes and the public’s level of identification with them. This provides a scientific basis for evidence-based, differentiated, and precise governance of the Historic Centre of Macao, offering significant reference value for the conservation and revitalisation of similar cultural heritage sites. Full article

Jin Cang embroidery, characterized by elaborate metallic threadwork and intricate textural patterns, is an important form of intangible cultural heritage. The digital preservation of Jin Cang embroidery is hindered by the scarcity of specialized datasets and the lack of object detection models that balance high performance with computational efficiency for edge deployment. To address these challenges, a dedicated dataset comprising 3050 images across eight core stitch categories is introduced as the first dataset of its kind for Jin Cang embroidery. Building upon this foundation, Lite-YOLOv11s, a domain-specific lightweight detection framework, is proposed with MobileNetV4 as its backbone to improve the extraction of high-frequency texture cues associated with metallic threadwork. Experimental results show that Lite-YOLOv11s achieves an mAP@0.5 of 0.951, outperforming the YOLOv11s baseline (0.927) while reducing model parameters by 40% and FLOPs by 46%. EigenCAM visualizations further show that the model can localize discriminative stitch-level features even under complex backgrounds. This work provides an efficient and deployable solution for intelligent embroidery recognition and offers a useful reference for the digital preservation of other fine-grained cultural heritage crafts. Full article