Article
Food Science & Technology
Jessica Baesler, Vivien Michaelis, Michael Stiboller, Hajo Haase, Michael Aschner, Tanja Schwerdtle, Stephen R. Sturzenbaum, Julia Bornhorst
Summary: The study found that chronic exposure of C. elegans to Mn and Zn increases metal uptake, exceeding levels of single metal exposures. Additionally, supplementation with Mn and/or Zn leads to an age-dependent increase in metal content, a decline in overall mRNA expression, and induced expression of target genes involved in Mn and Zn homeostasis.
MOLECULAR NUTRITION & FOOD RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Tianxiu Yu, Cong Lin, Shijie Zhang, Chunxue Wang, Xiaohong Ding, Huili An, Xiaoxiang Liu, Ting Qu, Liang Wan, Shaodi You, Jian Wu, Jiawan Zhang
Summary: This paper introduces a project on Dunhuang cultural heritage protection using artificial intelligence. The project aims to use computer vision and machine learning technologies to restore and analyze the artwork in the Dunhuang Mogao Grottoes. The proposed methods include automated restoration using deep networks, detection and retrieval for analyzing a large amount of objects, and style transfer to analyze art styles over time. A new dataset called "AI for Dunhuang" is created to facilitate the research, and representative methods are benchmarked and compared.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Article
Chemistry, Applied
E. M. Alonso-Villar, T. Rivas, J. S. Pozo-Antonio
Summary: The study evaluates the color changes of different compositions of paints on urban artworks under sunlight exposure, finding that the durability of the paints depends on their composition and the type of substrate, with fluorescent paints showing significant color modification due to degradation of the organic phase.
PROGRESS IN ORGANIC COATINGS
(2021)
Article
Biotechnology & Applied Microbiology
Stephania Lazaro-Mass, Susana De la Rosa-Garcia, Claudia Garcia-Solis, Javier Reyes-Trujeque, Montserrat Soria-Castro, Antonio F. Fuentes, Patricia Quintana, Sergio Gomez-Cornelio
Summary: This article analyzes the antiphototrophic effect of ZnO and CZ nanoparticles on limestone. The results show that the nanoparticles can effectively protect the limestone surface against phototrophic microorganisms, with the CZ-HT coating showing the best performance.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2022)
Article
Archaeology
J. Ortega-Ramirez, M. Bano, L. A. Villa Alvarado
Summary: The aim of this study is to investigate the feasibility of using high-frequency GPR surveys to estimate the state of alteration of murals. By generating three-dimensional images of the interior of the wall at different depths, the arrangement of cracks, the texture, and structure of building materials can be detected, and their relationship with mural painting preservation can be analyzed. The obtained results are crucial for determining the causes of recurrent damages and planning the restoration of a mural painting by Diego Rivera in Mexico City, where invasive or destructive techniques cannot be applied. Synthetic modeling and comparison with real traces were also employed to refine the results.
JOURNAL OF CULTURAL HERITAGE
(2022)
Article
Engineering, Multidisciplinary
Michalina Wojtkowska, Michal Kedzierski, Paulina Delis
Summary: This study discusses the use of artificial neural networks and point clouds to calculate displacements of cultural heritage structures. The model trained on a laboratory dataset was able to determine displacements of the building facade with a relative accuracy of 3% and a success rate of 85%. Deformations derived from digital surface models generated from point clouds had a relative accuracy of 7%, while values determined by image-based close-range photogrammetry methods were 35%. An innovative aspect is the use of neural networks to determine deformations based on sub-models generated from the point cloud, along with a supervised-trained high accuracy predictive model. The practical significance lies in creating an end-to-end solution that can automatically detect and estimate the value of deformation, providing a major advantage over other methods.
Review
Construction & Building Technology
Victoria Andrea Cotella
Summary: Interest in semantic segmentation of 3D point clouds using ML and DL has grown due to their key role in scene insight across various applications. However, there is a research gap regarding the interface between point cloud segmentation and the HBIM workflow. This study aims to perform a systematic review of the current bibliography to advance innovative strategies in the field of BIM and AI.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Environmental Sciences
Bilgehan Yabgu Horasan, Onur Yuksel, Alican Ozturk
Summary: Karaman province, formerly known as Lykaonia, is rich in geographically diverse raw materials and has a significant cultural heritage. The ruins of Madensehir and Degle villages in this area hold strategic and religious importance, and different types of rocks were used to construct the churches. The study of this region is expected to contribute significantly to restoration works in the area.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Riccardo De Benedictis, Carlo De Medio, Augusto Palombini, Gabriella Cortellessa, Carla Limongelli, Amedeo Cesta
Summary: The COVID-19 situation has increased the demand for new online information and communication services, especially in the cultural heritage domain, where new AI-based approaches have become important in dynamically aggregating information and promoting individual cultural growth.
APPLIED SCIENCES-BASEL
(2021)
Article
Archaeology
D. Zanardo, E. Ghedini, F. Menegazzo, A. Giordana, G. Cerrato, A. Di Michele, G. Cruciani, M. Signoretto
Summary: This study explores the use of photocatalysts to address surface contamination issues on Venetian marmorino walls, evaluating the effects of TiO2 and ZnO additives on the material properties, and correlating the morphological, surface, and opto-electronic properties of the modified marmorino to its self-bleaching activity.
JOURNAL OF CULTURAL HERITAGE
(2021)
Article
Humanities, Multidisciplinary
Bulent Haznedar, Rabia Bayraktar, Ali Emre Ozturk, Yusuf Arayici
Summary: Automated Heritage Building Information Modelling (HBIM) has been researched for the past decade to integrate diverse sources of complex cultural content related to heritage buildings. However, manual techniques and insufficient image processing hinder the segmentation of point cloud data. This paper explores the use of AI-based deep learning methods, particularly PointNet, for accurate point cloud segmentation of heritage buildings. The study tests and analyzes the feasibility and accuracy of PointNet algorithm in segmenting 3D point cloud data of heritage buildings in Gaziantep, Turkey. The proposed approach shows potential for accurate classification and segmentation of heritage buildings.
Article
Engineering, Multidisciplinary
Jiankun Zhang, Yanhui Jing
Summary: Intercultural communication promotes global cultural exchanges. Intangible cultural heritage, as an important cultural form, faces difficulties in protection and dissemination due to its abstract nature. The application of artificial intelligence technology provides innovative and sustainable solutions for the preservation and promotion of intangible cultural heritage.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Jinghui Cui, Limin Fu
Summary: With the rapid development of the information age, digitalization has both facilitated people's lives and brought crisis. The development of intangible cultural heritage of martial arts is facing difficulties and endangered problems in the digital era. This paper utilizes artificial intelligence technology and interactive system to establish an intelligent multimedia display interactive system for martial arts intangible cultural heritage, which improves target positioning performance in massive information.
Article
Chemistry, Physical
Alessio Zuliani, David Chelazzi, Rosangela Mastrangelo, Rodorico Giorgi, Piero Baglioni
Summary: Materials and colloids science can contribute to the conservation of Cultural Heritage by developing hybrid systems made of a castor oil-derived polymeric network and zinc oxide particles (ZnO/COPs) that are more effective in absorbing acetic acid. The size of the ZnO particles plays a significant role in the adsorption kinetics, with nanoparticles showing higher effectiveness than microparticles. These findings have important implications for art conservation and other fields where efficient removal of acetic acid is critical.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Qiao Chen, Wenfeng Zhao, Qin Wang, Yawen Zhao
Summary: This study establishes a scientific and standardized audio database for Cantonese opera, and proposes a classification method based on the CoGCNet model to intelligently manage and accurately classify Cantonese opera data. Experimental results demonstrate high classification accuracy and better overall performance compared to commonly used neural network models. Additionally, this method provides a new approach for studying the singing characteristics of Cantonese opera genres and their sustainable development.