{"title":"The ecology of microbiome on cultural relics: The linkage of assembly, composition and biodeterioration","authors":"Shudong Ding , Wenjing Liu , Xin Li , Youzhi Feng","doi":"10.1016/j.culher.2024.12.023","DOIUrl":"10.1016/j.culher.2024.12.023","url":null,"abstract":"<div><div>The process of microbial deterioration leads to irreversible damage to cultural relics, weakening their capacity for preserving human civilization. Previous studies have focused primarily on descriptions of the composition, diversity, and metabolisms of microbial communities associated with relics. However, owing to the influence of community assembly on composition and ecological functions and to formulate preservation strategies for relics, it is imperative to understand the assembly of microbial communities and their emergent ecological functions. In this respect, this study uses ecological niche theory and neutral process theory to delineate the interactions among the assembly processes, species composition, and ecological functions of microbial communities within Qinling Mausoleum (one of the two mausoleums of the Southern Tang Dynasty). Our results indicate that deterministic processes reduce the diversity of bacterial communities, thereby enhancing the multifunctionality and metabolic activity related to biodeterioration. The bacterial community in the middle of the mausoleum was dominated by deterministic processes, and amino acid metabolism, carbohydrate metabolism and lipid metabolism were elevated. Thus, the middle community was more likely to produce organic and inorganic acids that eroded the brick. In this context, deterministic processes increase the potential risk of biodeterioration of the brick in the Qinling Mausoleum. This highly interactive cascade underscores the role of microbial community assembly in predicting the intensity of biodeterioration within mausoleum environments.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 412-418"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond the youth smile: Investigating techniques and materials in Caroto's paintings by analytical single-point analyses and IR reflectography in full-field","authors":"Dafne Cimino , Angelo Agostino , Paola Artoni , Monica Molteni , Claudia Daffara","doi":"10.1016/j.culher.2024.12.012","DOIUrl":"10.1016/j.culher.2024.12.012","url":null,"abstract":"<div><div>Giovan Francesco Caroto was a famous Renaissance who played a fundamental role in Venetian painting at the turn of the 15<sup>th</sup> and 16<sup>th</sup> centuries. Despite this, just a few of his works have been studied in depth with a multidisciplinary approach between art history and scientific diagnostics. In this study, twenty paintings spanning almost forty years of his entire production in different areas of Northern Italy were analysed. The occasion for this study was the monographic exhibition dedicated to Caroto in Verona, in the halls of the Palazzo della Gran Guardia, in 2022. The research project focused on the application of non-invasive and <em>in-situ</em> techniques on a large number of paintings, following a consolidated protocol from imaging to spectroscopic analyses. The goal was to transition the local determination into a whole pattern analysis through a chemometric statistical evaluation. Indeed, it was possible to gain an overview of the material dimension of the artist by correlating chemical data with the year and place of production. This was achieved by overlapping Vis-IR imaging data with a high number of surface analyses (UV-Vis-NIR fibre optics reflectance spectroscopy -FORS-), and stratigraphic elemental analyses (XRF spectrometry). A multi-layer reading of the analysed works was proposed from the preparatory layer to the glaze and surface finish. Full-field IR reflectography allowed the <em>corpus</em> analysed to be considered in its entirety, discriminating original materials and retouchings, for the identification of the areas most representative for chemical analyses. The application of this protocol, along with the cross-discussion of the data acquired, and the comparison with historical sources enabled the identification of the artist's palette and its evolution over time. Moreover, the determination of minerals and minor elements in pigments traced Caroto's movements between Verona and Casale Monferrato, also providing information on material supply habits.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 370-381"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bo Pang , Jian Yang , Tian Xia , Anshan Zhang , Kai Zhang , Qingfeng Xu , Feiliang Wang
{"title":"Automated heritage building component recognition and modelling based on local features","authors":"Bo Pang , Jian Yang , Tian Xia , Anshan Zhang , Kai Zhang , Qingfeng Xu , Feiliang Wang","doi":"10.1016/j.culher.2024.12.006","DOIUrl":"10.1016/j.culher.2024.12.006","url":null,"abstract":"<div><div>The maintenance of buildings, underpinned by the digital twin technique, becomes integral to heritage conservation efforts. To achieve efficient modelling with minimal manual intervention, automated component recognition based on semantic segmentation of point clouds is imperative. Confronted by the challenges of the paucity of requisite datasets and the inherent geometric diversity of historical buildings, a two-step strategy including feature extraction and classification is proposed. First, an improved SHOT descriptor is proposed to extract discriminative features by defining a specific local reference system and concatenating support fields at different scales. The extracted features are then classified with a learning-based network, avoiding a feature learning process that relies on sufficient data. Experiments on real-world heritage point clouds yield 93.7% accuracy and an 80.0% mean-intersection-over-union (mIoU) when descriptors with radii of 0.3 m and 0.9 m are combined, surpassing computationally expensive deep learning networks and data-intensive unsupervised learning. A slight decrease in segmentation performance with random removal of points indicates the high robustness of the proposed method against data missing and sampling density changes. Additionally, a geometric modelling process with an error of less than 10% is introduced to achieve a direct transition from point cloud to model, contributing to the establishment of digital twins for heritage structures.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 252-264"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diachronic analyses on land use changes and vernacular architecture distribution, to support agricultural landscape development","authors":"E. Cervelli , E. Scotto di Perta , S. Pindozzi","doi":"10.1016/j.culher.2024.12.001","DOIUrl":"10.1016/j.culher.2024.12.001","url":null,"abstract":"<div><div>Rural buildings have shaped for centuries the landscape. In the last decades, however, the traditional balance between vernacular architectures and agricultural areas was often altered, without a correspondence between productions and buildings. Identifying the rural buildings distribution, recognizing the changes in land uses and understanding the criteria and processes which characterize them, are strategic both to protect the traditional and cultural heritage and to support a suitable landscape development.</div><div>The main aims of the work are: to support the identification of vernacular architectures in Mediterranean costal and less productive contexts; to recognize the land use changes and their impacts on landscape structure; and to support the decision makers activity considering both the historical building heritage and the local community development issues.</div><div>In the study area, the Sorrento’ Peninsula (Southern Italy), at local scale, due to the absence of a regional archive on rural buildings, the buildings identification (in the last fifty years) inside the agricultural areas and their comparison with topographic, aesthetic and connectivity indices were developed; at regional scale, land uses changes recognition and their impact assessment, in terms of landscape metrics were assessed.</div><div>A considerably huge area (20 %) was subjected to land use changes, mainly due to urban and forested areas increase and agricultural lands decrease. As fragmentation process results, the landscape structure is more complex and disaggregated, consisting of smaller, numerous and isolated parcels. Furthermore, despite the reduction in agricultural areas, the number of buildings has more than doubled, highlighting the strong pressure to which the territory is subjected today due to land consumption. The results stand out the need for decision-makers to monitor these contexts to stem the effects, and the vernacular architecture preservation and the agricultural uses improvement can be the support for new different socio-economic activities and opportunities.</div><div>The present work proved to be useful for meta-analysis of rural buildings distribution compared with land use changed driving forces, allowing a significant reduction in analysis costs and times. The approaches and methods integration allows providing a replicable model for other Mediterranean and European regions. The combination of traditional knowledge and modern technology offers a comprehensive approach to support a landscape management that respects both the past and the future, fostering resilience and sustainable development in rural areas.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 242-251"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stéphane Le Mouélic , Clémentine Paquier-Berthelot , Antoine Verney , Philippe Walter , Gwénaël Caravaca , Arnaud Daret , Martin Bostal
{"title":"3D imaging of the Bayeux Tapestry using photogrammetry and integration into virtual reality: Results of a feasibility test","authors":"Stéphane Le Mouélic , Clémentine Paquier-Berthelot , Antoine Verney , Philippe Walter , Gwénaël Caravaca , Arnaud Daret , Martin Bostal","doi":"10.1016/j.culher.2024.11.018","DOIUrl":"10.1016/j.culher.2024.11.018","url":null,"abstract":"<div><div>The Bayeux Tapestry is one of the most famous pieces of medieval art. Our objective is to report on a 3D image processing experiment carried out to test and prepare further dedicated and more systematic observation campaigns. We have tested the capacity of the Structure-from-Motion photogrammetry range imaging technique to compute detailed 3D models of the Tapestry through its protecting window, using a Nikon Z7II full frame mirrorless camera. Tests have been carried out both at the global scale and at the local scale on four scenes, including the Halley comet. We show that 3D details up to the fabric weft level can be obtained locally using this photogrammetry technique, in addition to a global digital model. We have also computed a 3D model of the interior of the nearby Bayeux Cathedral. A Virtual Reality simulation has been created to showcase a subset of the Tapestry inside the Bayeux Cathedral, in order to validate a proof of concept for potential future digital outreach and scientific enhancement projects.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 211-216"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pierre Tignol , Vanessa Pimenta , Anne-Laurence Dupont , Silvia Carvalho , Moisés L. Pinto , Christian Serre , Bertrand Lavédrine
{"title":"Novel MOF paper composites for the removal of airborne pollutants from the environment of cultural heritage artefacts","authors":"Pierre Tignol , Vanessa Pimenta , Anne-Laurence Dupont , Silvia Carvalho , Moisés L. Pinto , Christian Serre , Bertrand Lavédrine","doi":"10.1016/j.culher.2024.12.004","DOIUrl":"10.1016/j.culher.2024.12.004","url":null,"abstract":"<div><div>The quality of indoor air in Cultural Heritage (CH) institutions is a prime concern for the preservation of the artefacts in the collections. When stored in enclosures such as boxes and cabinets, or when exhibited in display cases or poorly ventilated rooms, a buildup of pollutants, in particular very volatile (VVOCs) and volatile organic compounds (VOCs), can occur and be detrimental to the objects. These airborne pollutants arise from the slow deterioration of the objects themselves as well as from the outgassing of storage, exhibition and cleaning products and materials (wood, plastics, varnishes, paints, cleaning products). Carboxylic acids are a category of airborne pollutants that are particularly harmful to cultural goods, while aldehydes might be hazardous to human health. Adsorbents are often used to trap these pollutants, and currently activated carbons and zeolites are the most common ones. Nonetheless they are not compound-selective, their efficiency and regeneration ability are limited and they can re-emit the pollutants. Metal-Organic Frameworks (MOFs) and, specifically, the benchmark mesoporous Fe(III) trimesate MOF denoted MIL-100(Fe), have been recently reported to selectively capture carboxylic acids, even in the presence of moisture. In this work, we studied three adsorbents, namely activated carbon, NaY zeolite and the MOF MIL-100(Fe), shaped as paper sheets, by mixing them with cellulose fibers and nanofibers. Their performance for the capture of various target substances notoriously emitted by CH artefacts, namely formic acid, acetic acid, acrylic acid, and furfural was compared. The tests were carried out in passive adsorption mode, in a purpose-made exposure laboratory bottle, in the presence of moisture and at pollutant concentrations of a few hundred ppm. The MOF paper composite showed better efficiency than the other two paper composites, being 15 % to 30 % more efficient than the activated carbon paper at target substance saturation level and reaching adsorption capacities between 200 and 300 mg<sub>pollutant</sub>.g<sup>-1</sup><sub>adsorbent</sub> under the experimental conditions. Moreover, only the MOF paper sheet did not release the pollutants. In a view of a practical application, the MIL-100(Fe) paper sheet was tested for the adsorption of acetic acid vapours emitted by cellulose acetate films, and confirmed the experimental results. This innovative solution could therefore be of use for air purification in heritage institutions to better protect airborne pollutant-sensitive cultural artefacts.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 265-273"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Managing Artificial Intelligence in Archeology. An overview","authors":"Gabriele Gattiglia","doi":"10.1016/j.culher.2024.11.020","DOIUrl":"10.1016/j.culher.2024.11.020","url":null,"abstract":"<div><div>The integration of AI in archaeology poses several risks due to the oversimplification of complex archaeological data for computational ease. This reductionist approach fosters a deterministic view, treating provisional classifications as definitive truths and influencing subsequent interpretations. The reliance on legacy data and Big Data for AI training risks perpetuating outdated ideas and frameworks. As AI expands from automating tasks to interpreting and creating reconstructions, archaeologists must adopt a critical approach to avoid biased and harmful outputs. The deterministic view of AI hinders informed debate. Archaeologists should engage in discussions that address the classificatory, and ethical aspects as well as the materiality of AI. The accumulation of data in AI mimics storytelling but lacks the interpretative depth needed to understand historical human perspectives. Developing theories and narrative practices is essential to making archaeological data meaningful. The shift from a representational to a co-creative view of data is necessary to understand its re-use and the power dynamics involved. Finally, to normalise AI in archaeology, a critical and sceptical approach is needed to integrate AI into the real world and understand its implications and ethical considerations.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 225-233"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of stone deterioration patterns with large multimodal models. Definitions and benchmarking","authors":"Daniele Corradetti , José Delgado Rodrigues","doi":"10.1016/j.culher.2024.11.017","DOIUrl":"10.1016/j.culher.2024.11.017","url":null,"abstract":"<div><div>The conservation of stone-based cultural heritage sites is a critical concern for preserving cultural and historical landmarks. With the advent of Large Multimodal Models, as GPT-4omni (OpenAI), Claude 3 Opus (Anthropic) and Gemini 1.5 Pro (Google), it is becoming increasingly important to define the operational capabilities of these models. In this work, we systematically evaluate the image classification capabilities of the main foundational multimodal models to recognise and categorize anomalies and deterioration patterns of stone elements that are useful in the practice of conservation and restoration of world heritage. After defining a taxonomy of the main stone deterioration patterns and anomalies, we asked the foundational models to identify a curated selection of 354 highly representative images of stone-built heritage, offering them a careful selection of labels to choose from. The result, which varies depending on the type of pattern, allowed us to identify the strengths and weaknesses of these models in the field of heritage conservation and restoration.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 175-183"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ours Elsevier","authors":"","doi":"10.1016/S1296-2074(25)00024-X","DOIUrl":"10.1016/S1296-2074(25)00024-X","url":null,"abstract":"","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Page iv"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Guo , Hongjie Luo , Fen Wang , Jianfeng Zhu , Jian Feng , Quanmin Zhang , Yan Ning , Ying Wang , Tian Wang
{"title":"New evidence on technique, ingredients and provenance of Sui Dynasty white porcelain: A case study in Xi'an, ancient China capital city (A.D. 581–618)","authors":"Rui Guo , Hongjie Luo , Fen Wang , Jianfeng Zhu , Jian Feng , Quanmin Zhang , Yan Ning , Ying Wang , Tian Wang","doi":"10.1016/j.culher.2024.12.014","DOIUrl":"10.1016/j.culher.2024.12.014","url":null,"abstract":"<div><div>Sui Dynasty (A.D.581–618) white porcelain represents a brilliant development in Chinese ceramic history. Initial firing of rare translucent and fine white porcelain drew focus on producing techniques and provenance, exemplified by white porcelains in a Sui Dynasty noble tomb in this study. Multi-analytical approaches were applied, including polarized light microscopy, energy-dispersive X-ray fluorescence (EDXRF), X-ray diffraction (XRD), Raman spectroscopy and material property theoretical calculation, figuring out wares consist one translucent white porcelain made from kaolin-quartz set and calcium-glaze possibly firing at 1220∼1260 °C, and four fine white porcelains made from kaolin-quartz-feldspar set featuring calcium or calcium-alkali glaze possibly forming at 1240∼1300 °C. Comparing to kiln specimens by Multivariate Statistical Analysis and recipe calculation reveals white porcelains were all likely originated but different from Xing kiln in ingredients, providing a new evidence on potential different process of Sui Dynasty white porcelain artifacts in Xi'an, capital of Sui Dynasty.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"71 ","pages":"Pages 392-401"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}