Applications of nuclear magnetic resonance sensors to cultural heritage.

Sensors (Basel)

Laboratorio di Risonanza Magnetica "Annalaura Segre", Istituto di Metodologie Chimiche, CNR Area della Ricerca di Roma 1, Via Salaria Km 29,300, 00015 Monterotondo (Rome), Italy.

Published: April 2014

AI Article Synopsis

  • Nuclear magnetic resonance (NMR) sensors are being used more frequently to study and monitor cultural heritage objects.
  • The versatility of NMR allows it to address a variety of cultural heritage challenges, not limited to just a few uses.
  • Recent advancements in portable NMR sensors enable on-site, non-destructive investigations, with the paper showcasing three specific studies demonstrating their effectiveness.

Article Abstract

In recent years nuclear magnetic resonance (NMR) sensors have been increasingly applied to investigate, characterize and monitor objects of cultural heritage interest. NMR is not confined to a few specific applications, but rather its use can be successfully extended to a wide number of different cultural heritage issues. A breakthrough has surely been the recent development of portable NMR sensors which can be applied in situ for non-destructive and non-invasive investigations. In this paper three studies illustrating the potential of NMR sensors in this field of research are reported.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029666PMC
http://dx.doi.org/10.3390/s140406977DOI Listing

Publication Analysis

Top Keywords

cultural heritage
12
nmr sensors
12
nuclear magnetic
8
magnetic resonance
8
applications nuclear
4
sensors
4
resonance sensors
4
sensors cultural
4
heritage years
4
years nuclear
4

Similar Publications

In the vibrant linguistic landscape of Bengali, spoken by millions in Bangladesh and India, the gap between saintly and common terms is culturally and computationally significant. Recognising this, we introduce BanglaBlend, a pioneering dataset created to capture these stylistic distinctions. BanglaBlend comes with 7350 annotated sentences, 3675 in saintly form and 3675 in common form, covering a crucial need in natural language processing (NLP) resources for Bangla.

View Article and Find Full Text PDF

In order to promote the digital dissemination and preservation of Chinese intangible cultural heritage, this work constructs a digital platform for its transmission. The platform integrates a range of advanced technologies, including the Densely Connected Convolutional Networks - Bottleneck and Compression model, a notable convolutional neural network, along with natural language processing algorithms, generative adversarial network algorithms, and neural collaborative filtering algorithms. The platform is validated with 224,055 publicly archived valid data records, ensuring its effectiveness and reliability.

View Article and Find Full Text PDF

Despite the increasing focus on intangible cultural heritage tourism, there is a lack of research on the ecological protection behaviors of tourists in these contexts. With UNESCO's continuous refinement of the World Heritage system, intangible cultural heritage has gradually become a focal point for tourism development and protection. While such tourism can promote the preservation and transmission of heritage, it also introduces ecological environmental issues that need to be addressed.

View Article and Find Full Text PDF

Exploring the Effects of Ionic Liquid on the Toughness of Palm Leaf Manuscripts.

Langmuir

January 2025

State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China.

Palm leaf manuscripts, crafted from specially treated palm leaves, are invaluable historical documents. However, they degrade and tend to become brittle over time. To date, plant essential oils and glycerin are the used materials to improve the flexibility of palm leaf manuscripts, but the effective duration of these materials is short due to their volatility.

View Article and Find Full Text PDF
Article Synopsis
  • This paper addresses the challenge of accurately segmenting images of Ming-style furniture, aiming to enhance preservation and analysis of this cultural heritage.
  • It introduces two innovations: the Material Attribute Prompter (MAP) for automatic prompt generation based on material properties, and the Structure Refinement Module (SRM) to improve segmentation accuracy through feature combination.
  • The proposed method, validated with the MF2K dataset consisting of 2073 annotated images, shows significant improvement in segmentation performance compared to existing models, highlighting the effectiveness and efficiency of the MAP and SRM.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!