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22 pages, 11373 KiB  
Article
Sustainable Development of the Infrastructure of the City of Astana Since the Establishment of the Capital as a Factor of Tourism Development
by Zharas Berdenov, Yersin Kakimzhanov, Kamshat Arykbayeva, Kalibek Assylbekov, Jan Andrzej Wendt, Kulyash D. Kaimuldinova, Aidana Beketova, Gulshat Ataeva and Tolga Kara
Sustainability 2024, 16(24), 10931; https://doi.org/10.3390/su162410931 - 13 Dec 2024
Viewed by 94
Abstract
The underdevelopment of tourism infrastructure remains a critical barrier to the growth of the tourism sector in both the capital and regional areas. This article examines the concept and structure of tourism infrastructure, synthesizes methodological approaches for its evaluation, and identifies the strengths [...] Read more.
The underdevelopment of tourism infrastructure remains a critical barrier to the growth of the tourism sector in both the capital and regional areas. This article examines the concept and structure of tourism infrastructure, synthesizes methodological approaches for its evaluation, and identifies the strengths and limitations of these approaches. The study introduces a novel methodology for assessing the development of tourism infrastructure in the capital city. Based on the assessment, the city’s regions are categorized into four levels of infrastructure development: high, above average, average, and below average. The findings highlight the key factors driving tourism development and the obstacles limiting infrastructure progress, while also proposing strategic directions for its enhancement. Achieving optimal levels of infrastructure provision is identified as a crucial condition for advancing the tourism sector. The development of tourism infrastructure should be prioritized in regional economic policy. In line with the state’s “Concept for the Development of the Tourism Industry of the Republic of Kazakhstan for 2023–2029”, this study emphasizes the need for a streamlined and precise classification of tourism infrastructure components based on a comprehensive framework. The evaluation is conducted using an integrated indicator that captures the development level of key elements: accommodation infrastructure, international event venues, and access to leisure and entertainment. Additionally, the article provides a comparative analysis of the current state of tourism infrastructure relative to the early stages of the capital’s development and tracks the dynamics of tourism indicators from 2010 to 2024. Several interrelated challenges affecting infrastructure growth have been identified. Notably, the study reveals that hosting international events and forums has significantly boosted inbound tourism compared to regional averages in Kazakhstan, although it has also constrained the potential for tourism business growth in other regions. The practical insights derived from this study offer a comprehensive understanding of the state of tourism infrastructure in Astana, which can inform future research and policy development for tourism infrastructure in major urban areas. Full article
(This article belongs to the Special Issue Sustainable and Green Economy Transformation)
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<p>Study area (own development in the ArcGIS10.8 program).</p>
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<p>Research methodology.</p>
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<p>Duman [<a href="#B37-sustainability-16-10931" class="html-bibr">37</a>].</p>
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<p>Bayterek [<a href="#B38-sustainability-16-10931" class="html-bibr">38</a>].</p>
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<p>Akorda [<a href="#B39-sustainability-16-10931" class="html-bibr">39</a>].</p>
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<p>Government of the Republic of Kazakhstan [<a href="#B40-sustainability-16-10931" class="html-bibr">40</a>].</p>
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<p>Emerald Quarter [<a href="#B41-sustainability-16-10931" class="html-bibr">41</a>].</p>
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<p>Northern Lights [<a href="#B42-sustainability-16-10931" class="html-bibr">42</a>].</p>
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<p>Monument [<a href="#B43-sustainability-16-10931" class="html-bibr">43</a>].</p>
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<p>Palace of Independence [<a href="#B44-sustainability-16-10931" class="html-bibr">44</a>].</p>
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<p>Astana Arena Stadium [<a href="#B45-sustainability-16-10931" class="html-bibr">45</a>].</p>
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<p>Mosque [<a href="#B46-sustainability-16-10931" class="html-bibr">46</a>].</p>
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<p>Infrastructure development and attractiveness map (own development in the ArcGIS10.8 program). (Color-coded by district: high, above average, average, and below average levels of infrastructure attractiveness for tourists.).</p>
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<p>Tourist flow.</p>
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27 pages, 14901 KiB  
Article
The Landscape Design Proposal for the New Archeological Museum of Cyprus
by Julia Nerantzia Tzortzi
Land 2024, 13(12), 2082; https://doi.org/10.3390/land13122082 - 3 Dec 2024
Viewed by 482
Abstract
This paper deals with the landscape design strategy that was followed in the proposal that was submitted to the International Architecture Competition of the New Archaeological Museum of Cyprus. The aim of this document is to analyze how landscape and architecture interact. In [...] Read more.
This paper deals with the landscape design strategy that was followed in the proposal that was submitted to the International Architecture Competition of the New Archaeological Museum of Cyprus. The aim of this document is to analyze how landscape and architecture interact. In the author’s design proposal for the New Archaeological Museum of Cyprus, the various “gardens” integrated into the Landscape are analyzed. The concept of landscape design is related to the sacredness of trees to certain gods in Ancient Greece and Greek Mythology. The proposal addresses the symbolic meaning of trees and water. The design triggered the creation of several “gardens”: the “Sacred Garden”, the “Stone Garden”, the “Olive Garden”, the “Sacred Grove”, and the “Public Garden”, combining their soft landscapes with the hard landscape of the “Plaza” and the “Courtyard”. Each figure in the garden has a symbolic meaning that allows for a dialogue between landscape and architectural design. In addition, the findings provide valuable insights into the historical and spiritual value of landscape elements (plants, water) that are also thermal regulators for sustainable urban planning. The research results may be of value to landscape architects, architects, and landscape designers in the Mediterranean region. Full article
(This article belongs to the Special Issue Integrating Urban Design and Landscape Architecture)
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<p>The methodological diagram.</p>
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<p>Green areas in m<sup>2</sup> per inhabitant in the city of Nicosia in Cyprus in 2018 Source [<a href="#B34-land-13-02082" class="html-bibr">34</a>].</p>
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<p>Sun direction in Nicosia on the left, source [<a href="#B40-land-13-02082" class="html-bibr">40</a>], and Sun Path diagram in Nicosia on the right, source [<a href="#B41-land-13-02082" class="html-bibr">41</a>].</p>
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<p>The location of the New Archaeological Museum in Nicosia, Source: modified by the author from Google Earth.</p>
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<p>The location of the Nicosia Old City surrounded by the Venetian Wall and the location of the New Archaeological Museum and the Old Museum (<b>left</b>), and the new museum area, adjacent to the Pedieos river, which is in the form of a linear park, and the City Gardens (<b>right</b>). Source: modified by the author from Google Earth.</p>
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<p>The site where the new Cyprus Museum will be built is the old General Hospital (SITE) next to the existing museum, which is a neoclassic building (<b>3</b>);, the House of Representatives, which is a modern building (<b>1</b>); and the Municipal theatre (<b>2</b>); and close to the modern buildings of the Theatrical Organization of Nicosia (<b>6</b>) and the Ministry of Finance (<b>7</b>). As for the landscape, the SITE is adjacent to the Pedieon River, formed as a linear park (<b>5</b>), and to the Municipal Park (<b>4</b>). Source: google map modified by the author.</p>
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<p>Cypro syllabic script image used as a metal sheet perforating pattern. Source: Mary Harrsch, Bichrome Pitcher Cyprus Archaic Period, photographed at the Los Angeles County Museum of Art, Los Angeles, California. Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>The urban volume recalls the nearby fortified wall’s diamonds for the lower sheltered facade of the building, providing both natural sunlight control and burglar-proof safety. Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>Concentric circle geometry projection on complex building facade surface generates solar shading tubular element pattern. Source: Tzortzi, Visconti, [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>Agia Irini clay votive figures, 6th–7th century BC, Cyprus Museum, Nicosia, Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>Sun-path diagram and solar shading evaluation, Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>The landscape design of the museum is an extension of the inner exhibition spaces while the olive tree (<span class="html-italic">Olea europea</span>) was used in specific places as the tree of the goddess Athena in the proposed ‘Olive Grove’. Source: Tzortzi, Visconti, 2024 [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>The general ground plan of the museum, including the planting scheme of the external gardens. Source: Tzortzi, Visconti, 2024 [<a href="#B22-land-13-02082" class="html-bibr">22</a>] modified by the author.</p>
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<p>The proposed areas in the landscape of the museum. Source: Tzortzi, Visconti, 2024 [<a href="#B17-land-13-02082" class="html-bibr">17</a>] modified by the author.</p>
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<p>The main plants of the Sacred Garden. Source: Author.</p>
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<p>The “Sacred Garden”, the “Sacred Grove”, the linear water and the “Stone Garden” with large pebbles. Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>The “Sacred Garden”, the “Stone Garden”, and the row of the poplar trees (<span class="html-italic">Populus alba</span>) further back. Source: Tzortzi, Visconti [<a href="#B22-land-13-02082" class="html-bibr">22</a>].</p>
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<p>The main plants of the “Sacred Grove”. Source: Author.</p>
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<p>Some endemic plants of the Public Park.</p>
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17 pages, 9733 KiB  
Article
Raman Handheld Versus Microscopic Spectroscopy for Estimating the Post-Mortem Interval of Human Bones: A Comparative Pilot Study
by Johannes Dominikus Pallua, Christina Louis, Nicole Gattermair, Andrea Brunner, Bettina Zelger, Michael Schirmer, Jovan Badzoka, Christoph Kappacher, Christian Wolfgang Huck, Jürgen Popp, Walter Rabl and Claudia Wöss
Bioengineering 2024, 11(11), 1151; https://doi.org/10.3390/bioengineering11111151 - 15 Nov 2024
Viewed by 768
Abstract
The post-mortem interval estimation for human skeletal remains is critical in forensic medicine. This study used Raman spectroscopy, specifically comparing a handheld device to a Raman microscope for PMI estimations. Analyzing 99 autopsy bone samples and 5 archeological samples, the research categorized them [...] Read more.
The post-mortem interval estimation for human skeletal remains is critical in forensic medicine. This study used Raman spectroscopy, specifically comparing a handheld device to a Raman microscope for PMI estimations. Analyzing 99 autopsy bone samples and 5 archeological samples, the research categorized them into five PMI classes using conventional methods. Key parameters—like ν1PO43− intensity and crystallinity—were measured and analyzed. A principal component analysis effectively distinguished between PMI classes, indicating high classification accuracy for both devices. While both methods proved reliable, the fluorescence interference presented challenges in accurately determining the age of archeological samples. Ultimately, the study highlighted how Raman spectroscopy could enhance PMI estimation accuracy, especially in non-specialized labs, suggesting the potential for improved device optimization in the field. Full article
(This article belongs to the Special Issue Optical Imaging for Biomedical Applications)
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<p>A comparison of RS and conventional PMI estimation, highlighting their pros and cons. Spectra from the Raman handheld and Raman microscope were depicted in the experiment.</p>
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<p>A comparison of the exemplary Raman average spectra of the (<b>A</b>) Raman handheld device and the (<b>B</b>) Raman microscope of PMI class 5. This particular class yielded less usable results due to the very high fluorescence. The analysis presented in <a href="#bioengineering-11-01151-f002" class="html-fig">Figure 2</a> indicates that both the handheld Raman device and the Raman microscope are not suitable for PMI class 5.</p>
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<p>Comparison of mean spectra of human bone samples from Mira Raman handheld device and Senterra Raman microscope of PMI class 1 to 4.</p>
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<p>A bar graph depicting spectral markers derived from handheld Raman spectroscopy for the characterization of human bone. The symbol * (<span class="html-italic">p</span> &lt; 0.05) indicates statistical significance, ** (<span class="html-italic">p</span> &lt; 0.01) represents high significance, *** (<span class="html-italic">p</span> &lt; 0.001) signifies very high significance, and **** (<span class="html-italic">p</span> &lt; 0.0001) denotes the utmost significance of the data. ns indicates that the difference between the groups was not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>A bar graph depicting spectral markers derived from Raman microscope for the characterization of human bone. The symbol * (<span class="html-italic">p</span> &lt; 0.05) indicates statistical significance, ** (<span class="html-italic">p</span> &lt; 0.01) represents high significance, *** (<span class="html-italic">p</span> &lt; 0.001) signifies very high significance, and **** (<span class="html-italic">p</span> &lt; 0.0001) denotes the utmost significance of the data. ns indicates that the difference between the groups was not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>A plot is available to showcase the loadings of Raman handheld and microscope PC-1 (blue), PC-2 (red), and PC-3’s (green) main components.</p>
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<p>The PCA for the entire measured range (400 cm<sup>−1</sup> to 2300 cm<sup>−1</sup> for the Raman handheld device—upper row—and 250 cm<sup>−1</sup> to 3600 cm<sup>−1</sup> for the Raman microscope—lower row), with the blue, red, green and light blue symbols representing the respective PMI classes I to IV of the human bone samples.</p>
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10 pages, 4010 KiB  
Opinion
The Conjecture of Poser on the Origins of Multiple Sclerosis: New Theoretical Considerations and Proposal
by Victor M. Rivera
Sclerosis 2024, 2(4), 355-364; https://doi.org/10.3390/sclerosis2040023 - 14 Nov 2024
Viewed by 436
Abstract
The origins of multiple sclerosis (MS) have been a subject intriguing researchers and scholars for generations. The multifactorial etiological nature of the disease continues to be studied as a complex combination of genetic aspects and environmental or external risk elements contributing to the [...] Read more.
The origins of multiple sclerosis (MS) have been a subject intriguing researchers and scholars for generations. The multifactorial etiological nature of the disease continues to be studied as a complex combination of genetic aspects and environmental or external risk elements contributing to the development of the disease. Descriptions of symptoms or clinical disorders suggestive of MS affecting historical figures or prominent individuals (i.e., Lidwina of Schiedam, Heinrich Heine, Augustus d’Este) did not provide clues on the origin of the disease, except for the observation that all these early possible cases were white European individuals. MS was initially framed as a neurological entity and named in the 19th century by the historical participation of the French masters Cruveilhier, Vulpian, and Charcot, among others, but the question of how the disease originated was not addressed until Charles Poser raised his conjecture on the origins of MS in two historical essays (1994 and 1995), raising the question if the Viking voyages and invasions from the 8th to the 11th century carried the Scandinavian MS genetic risk factor to Europe and the rest of the known world at that time. Poser did not have the benefit of access to ancient molecular DNA data and based his theoretical postulation on interesting historical and archeological observations. A series of studies and opinions published in 2024, utilizing sophisticated genetic analyses and genome identification, archeological DNA analysis, and other advanced techniques and biological computation, distinctly demonstrate the installation of HLA-DRB1*15:01 (class II allele) in Europe (with a higher prevalence in Scandinavia) following the massive Yamnaya pastoralists migration from the Pontic Steppe in Eurasia to western Europe (~5000 to 2500 BCE). The data suggest HLA-DRB1*15:01, the strongest genetic association with MS, underwent an evolutive switch (“thrifty drift”) from immune protector against novel zoonotic diseases appearing among the early pastoralists of the Yamnaya civilization to an autoimmune deleterious reactor to molecular mimicry and self-antigens, enabled by lifestyle changes and reduction of pastoralism once communities settled in Europe after the migration from the Pontic Steppe. This writer offers a new perspective on the origins of MS through a phase 1, the ancient east to west migration in the late Bronze Age, consolidating the HLA-DRB1*15:01 haplotype in Europe, and phase 2, the additional dissemination of the genetic MS risk through the Viking invasions, reinforcing inheritability by enabling a homozygous dominant inheritance. Full article
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<p>Charles Marcel Poser upon his induction into the Royal Society of Medicine in Edinburgh.</p>
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<p>The frequency of HLA-DRB1*15:01 increased notoriously (shown for illustration purposes by the number of red dots) after the introduction to Europe of domesticated animals by pastoralists between 5000-2500 years ago (adapted from Asgari and Pouzas, <span class="html-italic">Nature</span> 2024, [<a href="#B15-sclerosis-02-00023" class="html-bibr">15</a>].</p>
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<p>Genomes of selected infectious agents’ associations (links) detected utilizing diverse SNP identification methods. The approximately protection levels are liberally depicted in the figure strictly for illustration purposes. Samples were obtained from pastoralist sites and from later migration trajectories towards west and northern Europe from the Eurasian Steppe. Abbrv., EBV = Epstein-Barr Virus; VZV = Varicella-Zoster Virus; TBC = Tuberculosis; BRUC = Brucellosis; BACT INF = Bacterial Infections. (Adapted from Barrie et al., <span class="html-italic">Nature</span>, 2024) [<a href="#B21-sclerosis-02-00023" class="html-bibr">21</a>].</p>
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<p>Phase 1: introduction of the MS genetic risk into Europe through massive migrations from the Pontic Steppe (5000–2500 BCE). The arrows indicate the proposed pathways of the migration from the East to West and Northern Europe.</p>
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<p>Phase 2: genetic reinforcement of the genetic MS risk from Scandinavia to continental Europe and beyond (8th century to 11th century). The arrows indicate the historical paths of the Viking sagas.</p>
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<p>Atlas of MS, 2024. Source: Multiple Sclerosis International Federation [<a href="#B2-sclerosis-02-00023" class="html-bibr">2</a>].</p>
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23 pages, 628 KiB  
Review
Big Epidemiology: The Birth, Life, Death, and Resurgence of Diseases on a Global Timescale
by Nicola Luigi Bragazzi and Thorsten Lehr
Epidemiologia 2024, 5(4), 669-691; https://doi.org/10.3390/epidemiologia5040047 - 6 Nov 2024
Viewed by 934
Abstract
Big Epidemiology represents an innovative framework that extends the interdisciplinary approach of Big History to understand disease patterns, causes, and effects across human history on a global scale. This comprehensive methodology integrates epidemiology, genetics, environmental science, sociology, history, and data science to address [...] Read more.
Big Epidemiology represents an innovative framework that extends the interdisciplinary approach of Big History to understand disease patterns, causes, and effects across human history on a global scale. This comprehensive methodology integrates epidemiology, genetics, environmental science, sociology, history, and data science to address contemporary and future public health challenges through a broad historical and societal lens. The foundational research agenda involves mapping the historical occurrence of diseases and their impact on societies over time, utilizing archeological findings, biological data, and historical records. By analyzing skeletal remains, ancient DNA, and artifacts, researchers can trace the origins and spread of diseases, such as Yersinia pestis in the Black Death. Historical documents, including chronicles and medical treatises, provide contextual narratives and quantitative data on past disease outbreaks, societal responses, and disruptions. Modern genetic studies reveal the evolution and migration patterns of pathogens and human adaptations to diseases, offering insights into co-evolutionary dynamics. This integrative approach allows for temporal and spatial mapping of disease patterns, linking them to social upheavals, population changes, and economic transformations. Big Epidemiology also examines the roles of environmental changes and socioeconomic factors in disease emergence and re-emergence, incorporating climate science, urban development, and economic history to inform public health strategies. The framework reviews historical and contemporary policy responses to pandemics, aiming to enhance future global health governance. By addressing ethical, legal, and societal implications, Big Epidemiology seeks to ensure responsible and effective epidemiological research and interventions. This approach aims to profoundly impact how we understand, prevent, and respond to diseases, leveraging historical perspectives to enrich modern scientific inquiry and global public health strategies. Full article
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<p>Integrative framework of Big Epidemiology.</p>
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14 pages, 3965 KiB  
Article
Soil Bacteria in Archaeology: What Could Rank Abundance Functions Tell Us About Ancient Human Impacts on Microbial Communities?
by J. Michael Köhler, Linda Ehrhardt, P. Mike Günther and Jialan Cao
Microorganisms 2024, 12(11), 2243; https://doi.org/10.3390/microorganisms12112243 - 6 Nov 2024
Viewed by 529
Abstract
Metagenomic analysis of soil bacterial communities based on 16S rRNA reflects a typical community composition containing a low number of high-abundance types and a very high number of low-abundance types. Here, the formation of characteristic rank order functions of bacterial abundance is investigated [...] Read more.
Metagenomic analysis of soil bacterial communities based on 16S rRNA reflects a typical community composition containing a low number of high-abundance types and a very high number of low-abundance types. Here, the formation of characteristic rank order functions of bacterial abundance is investigated by modelling the dynamics of soil bacterial communities, assuming a succession of different bacterial populations that grow rapidly and decay more slowly. We found that the characteristic shape of typical rank order functions is well reflected by simulations. In addition, our model allowed us to investigate strong disturbances in the soil, which could be expected in cases of strongly changing local environmental conditions in soil, e.g., after translocation and covering of soil material. Such events could lead to the formation of shoulders in the rank order functions. Abundance rank orders observed in cases of some archaeological soil samples do indeed show such a shoulder and could be well interpreted by simulated rank order functions. As a result, it can be concluded that the investigations herein support our hypothesis that abundance rank orders contain information about the temporal order of developing bacterial types in changing communities and thus store information about local environmental conditions in the past, including ancient humans’ impact on soil. This information can be used for interpretation of archeological findings and for reconstruction of different former human activities, as well as knowledge on the translocation of soil material in the past. Full article
(This article belongs to the Section Environmental Microbiology)
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<p>Soil profiles (schematically) (<b>a</b>) in the case of natural—widely undisturbed—layers and (<b>b</b>) for an example of human-impacted soil (including translocation of soil material and burial of former surface material) and soil containing deposits connected with ancient human activities.</p>
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<p>Assumed decay of abundance of a bacterial soil type (density of cells) after a phase of high activity following the decay function of Equation (1).</p>
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<p>Scheme of succession of dominant OTUs or small groups of them marked by fast growth, a comparatively short phase of high activity (dominance in the soil bacterial community), and decay following a decay function as described by Equation (1).</p>
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<p>Scheme of a simplified general decay function in abundances of OTUs in soil samples (following Equation (2)); the graph was obtained by superposition of simulated decay of densities of cells following the scheme shown in <a href="#microorganisms-12-02243-f003" class="html-fig">Figure 3</a>.</p>
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<p>Rank order functions without shoulders obtained from four different soil samples: red lines and circles are experimental abundance data obtained from NGS, and blue lines are fits obtained from the assumed model. First column (<b>a</b>–<b>d</b>): rank function (number of reads) for lower-abundance OTUs, second column (<b>e</b>–<b>h</b>): logarithm of abundances for all OTUs), third column (<b>i</b>–<b>l</b>): abundances (number of reads) for highest-abundance OTUs of each sample. First line (<b>a</b>,<b>e</b>,<b>i</b>): sample T92 (parameters for simulation following Equation (2): N<sub>max</sub>= 1200, N<sub>0</sub>= 96, f<sub>1</sub> = 0.003075, f<sub>2</sub> = 0.016); second line (<b>b</b>,<b>f</b>,<b>j</b>): sample B47 (parameters for simulation following Equation (2): N<sub>max</sub> = 3000, N<sub>0</sub> = 420, f<sub>1</sub> = 0.00423, f<sub>2</sub> = 0.03); third line (<b>c</b>,<b>g</b>,<b>k</b>): sample B43 (parameters for simulation following Equation (2): N<sub>max</sub> = 3000, N<sub>0</sub> = 268, f<sub>1</sub> = 0.00375, f<sub>2</sub> = 0.016); fourth line (<b>d</b>,<b>h</b>,<b>l</b>): sample E64 (parameters for simulation following Equation (2): N<sub>max</sub> = 3700, N<sub>0</sub> = 375, f<sub>1</sub> = 0.00421, f<sub>2</sub> = 0.022).</p>
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<p>Experimentally observed deviations from the simplified general rank function by a shoulder at medium abundance: red lines and circles are experimental abundance data obtained from NGS, and blue lines are fits obtained from the assumed model. First column (<b>a</b>–<b>d</b>): rank function (number of reads) for lower-abundance OTUs, second column (<b>e</b>–<b>h</b>): logarithm of abundances for all OTUs), third column (<b>i</b>–<b>l</b>): abundances (number of reads) for highest-abundance OTUs of each sample. First line (<b>a</b>,<b>e</b>,<b>i</b>): sample E66 (parameters for simulation following Equation (2): N<sub>max</sub> = 6000, N<sub>0</sub> = 227, f<sub>1</sub> = 0.00457, f<sub>2</sub> = 0.040); second line (<b>b</b>,<b>f</b>,<b>j</b>): sample HB22-1 (parameters for simulation following Equation (2): N<sub>max</sub> = 6000, N<sub>0</sub> = 85, f<sub>1</sub> = 0.00732, f<sub>2</sub> = 0.06); third line (<b>c</b>,<b>g</b>,<b>k</b>): sample B32 (parameters for simulation following Equation (2): N<sub>max</sub> = 6000, N<sub>0</sub> = 268, f<sub>1</sub> = 0.00662, f<sub>2</sub> = 0.045); fourth line (<b>d</b>,<b>h</b>,<b>l</b>): sample HB36-1 (parameters for simulation following Equation (2): N<sub>max</sub> = 6000, N<sub>0</sub> = 199, f<sub>1</sub> = 0.00419, f<sub>2</sub> = 0.040).</p>
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<p>Experimentally observed deep steps from high to medium and low abundances in the rank function: red lines and circles are experimental abundance data obtained from NGS, and blue lines are fits obtained from the assumed model. First column (<b>a</b>–<b>d</b>): rank function (number of reads) for lower-abundance OTUs, second column (<b>e</b>–<b>h</b>): logarithm of abundances for all OTUs), third column (<b>i</b>–<b>l</b>): abundances (number of reads) for highest-abundance OTUs of each sample; first line (<b>a</b>,<b>e</b>,<b>i</b>): sample HB58-2 (parameters for simulation following Equation (2): N<sub>max</sub> = 14,000, N<sub>0</sub> = 785, f<sub>1</sub> = 0.00952, f<sub>2</sub> = 0.048); second line (<b>b</b>,<b>f</b>,<b>j</b>): sample B76 (parameters for simulation following Equation (2): N<sub>max</sub> = 900, N<sub>0</sub> = 192, f<sub>1</sub> = 0.00481, f<sub>2</sub> = 0.050); third line (<b>c</b>,<b>g</b>,<b>k</b>): sample HB62-1 (parameters for simulation following Equation (2): N<sub>max</sub> = 5000, N<sub>0</sub> = 1136, f<sub>1</sub> = 0.00826, f<sub>2</sub> = 0.070); fourth line (<b>d</b>,<b>h</b>,<b>l</b>): sample HB4 (parameters for simulation following Equation (2): N<sub>max</sub> = 8000, N<sub>0</sub> = 311, f<sub>1</sub> = 0.03286, f<sub>2</sub> = 0.35).</p>
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<p>Simulated rank functions in case of disturbance of soil in the past resulting in a dilution of cells: (<b>a</b>) cell dilution modelled by ten small dilution steps of factor 1.2 resulting in a weak shoulder in the abundance rank distribution; (<b>b</b>) cell dilution modelled by two high dilution steps of factor 2 resulting in a high shoulder in the abundance rank distribution.</p>
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15 pages, 2195 KiB  
Essay
The Three-Dimensional Model as a ‘Scientific Fact’: The Scientific Methodology in Hypothetical Reconstruction
by Fabrizio I. Apollonio
Heritage 2024, 7(10), 5413-5427; https://doi.org/10.3390/heritage7100255 - 29 Sep 2024
Viewed by 724
Abstract
For more than thirty years, 3D digital modelling has been used more and more widely as a research tool in various disciplinary fields. Despite this, the 3D models produced by different research, investigation, and speculation activities are still only used as a basis [...] Read more.
For more than thirty years, 3D digital modelling has been used more and more widely as a research tool in various disciplinary fields. Despite this, the 3D models produced by different research, investigation, and speculation activities are still only used as a basis and as sources for the production of images and scientific contributions (papers in journals, contributions in conference proceedings, etc.) in dissemination and cultural activities, but without having yet assumed full autonomy as a ‘scientific fact’, as a product of research, or as a means of scientific debate and progress. This paper outlines the context in the field of architecture and archeology in which the use of 3D models has become increasingly widespread, reaching a level of full maturity, and how the field of hypothetical reconstruction can be characterized as an autonomous/scientific discipline through the definition and adoption of a scientific, transparent, verifiable, reusable, and refutable method. In this context, the definition of the 3D model as a product of scientific speculation and research is proposed. Full article
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<p>The reconstructive reality-based/sources-based procedure: conceptual map.</p>
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<p>Hypothetical reconstruction workflow (NPR is for Not Photo-Realistic; CDM is for Critical Digital Model; PR is for Photo-Realistic).</p>
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<p>The interrelation between coherence, accuracy, and subjectivity: conceptual map.</p>
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<p>Formalization of semantic knowledge: cognitive graph.</p>
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24 pages, 14243 KiB  
Article
Degradation of a Sauce-Glazed Ware from the Song Dynasty Salvaged Out of Water at the Dalian Island Wharf: Part II—The Effect of Surface-Attached Marine Organism Remains
by Rao Ding, Weidong Li, Zelin Yang, Changsong Xu and Xiaoke Lu
Appl. Sci. 2024, 14(19), 8596; https://doi.org/10.3390/app14198596 - 24 Sep 2024
Viewed by 575
Abstract
Dalian Island, located in the northwest of Pingtan County, Fujian Province, China, has been an important junction on the Maritime Silk Road since the Tang dynasty. This study focuses on sauce-glazed ceramic ware from the Song dynasty salvaged from the waters near Dalian [...] Read more.
Dalian Island, located in the northwest of Pingtan County, Fujian Province, China, has been an important junction on the Maritime Silk Road since the Tang dynasty. This study focuses on sauce-glazed ceramic ware from the Song dynasty salvaged from the waters near Dalian Island Wharf. The composition, phase attributes, and microstructures of the marine organism remains attached to the ceramic ware were analyzed using an optical microscope, scanning electron microscope, and micro-Raman spectrometer to investigate the influence of marine organisms on the degradation of the ceramic ware. Long-term abrasion by sea wave-borne debris led to the increased surface roughness and wettability of the ceramic ware, facilitating the attachment of marine organisms. Differences in surface roughness between the inner and outer walls led to varying levels of biomass. Coralline algae secreted inducers to attract the larvae of macrofoulers. The attachment of different types of marine organisms had varying effects on the degradation of the ceramic ware. Firmly attached unitary organisms could alleviate the scouring of sea wave-borne debris and hinder the intrusion of foreign pollutants, thereby playing a ‘bio-protective’ role. In contrast, the group skeletons of modular organisms could reinforce the mechanically damaged surface but failed to block the intrusion of iron rust and other pollutants, resulting in chemical alterations of the glaze. Therefore, the specific species of the attached marine organisms should be considered in subsequent conservation efforts. Full article
(This article belongs to the Special Issue Archaeological Analysis and Characterization of Ceramics Materials)
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<p>A sauce-glazed shard from the Song dynasty (DL) salvaged from the Dalian Island Wharf: (<b>a</b>) outer wall; the samples DL-2 and DL-4 were cut at the characteristic positions where Serpulids, red coral, and solitary coral were attached to the surface; and (<b>b</b>) part of DL; the samples DL-2, DL-3, and DL-5 were cut at the characteristic positions where Serpulids, red coral, and Bryozoans were attached to the surface.</p>
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<p>A sauce-glazed shard from the Song dynasty (DL) salvaged from the Dalian Island Wharf: (<b>a</b>) outer wall; the samples DL-2 and DL-4 were cut at the characteristic positions where Serpulids, red coral, and solitary coral were attached to the surface; and (<b>b</b>) part of DL; the samples DL-2, DL-3, and DL-5 were cut at the characteristic positions where Serpulids, red coral, and Bryozoans were attached to the surface.</p>
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<p>OM images of the marine organism remains attached to sample DL: (<b>a</b>) Solitary organism: solitary coral remains on the outer wall of sample DL-4; (<b>b</b>) Modular organism: Serpulid remains on the outer wall of sample DL-2; (<b>c</b>) Red coral remains with light red color on the outer wall of sample DL-2; and (<b>d</b>) Bryozoan remains on the inner wall of sample DL-5.</p>
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<p>EDXRF element mapping images of an area on the inner wall of DL with a significant amount of organism remains: (<b>a</b>) surface scanning area; (<b>b</b>) selected points; and (<b>c</b>–<b>f</b>) element mapping images. The examined positions are indicated by white box in (a).</p>
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<p>EDXRF element mapping images of an area on the inner wall of DL with a significant amount of organism remains: (<b>a</b>) surface scanning area; (<b>b</b>) selected points; and (<b>c</b>–<b>f</b>) element mapping images. The examined positions are indicated by white box in (a).</p>
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<p>Morphology of Serpulids attached to the surface of sample DL-2: (<b>a</b>) optical microscopy (OM) image of the fracture surface showing residual tubes on the outer wall; (<b>b</b>) scanning electron microscopy (SEM) image of the close-up region indicated in (<b>a</b>), revealing the layered structure (SIOP and IOP) in the cross-section of the tube; (<b>c</b>) SEM image of the top view of (<b>a</b>), showing the rough surface of the outer wall; (<b>d</b>) OM image of the fracture surface with residual tubes on the inner wall; (<b>e</b>) SEM image of the close-up region indicated in (<b>d</b>); (<b>f</b>) SEM image of the close-up region indicated in (<b>e</b>); and (<b>g</b>) SEM image of the fractured surface of the tube/body, showing the bottom of the tube with a loose attachment to the body under external mechanical force.</p>
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<p>Cross-sectional morphology of the solitary coral attached to the outer wall of sample DL-4: (<b>a</b>) optical microscopy (OM) image showing the cross-section of the sample; (<b>b</b>) scanning electron microscopy (SEM) image providing a detailed view of the coral attachment; and (<b>c</b>) OM image highlighting additional features of the coral attachment.</p>
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<p>Morphology of the Bryozoans attached to sample DL-5: (<b>a</b>) optical microscopy (OM) image of the cross-section of Bryozoans attached to the outer wall; (<b>b</b>) scanning electron microscopy (SEM) image showing the surface of Bryozoans on the outer wall; (<b>c</b>) SEM image providing a close-up view of the region indicated in (<b>a</b>); (<b>d</b>) OM image of the surface of Bryozoans attached to the inner wall; (<b>e</b>) SEM image showing a close-up of the region indicated in (<b>d</b>); and (<b>f</b>) SEM image of the cross-section of Bryozoans attached to the inner wall.</p>
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<p>Morphology of the red coral attached to the outer wall of sample DL-2: (<b>a</b>) optical microscopy (OM) image showing the cross-section of the red coral attached to the outer wall; (<b>b</b>) scanning electron microscopy (SEM) image of the close-up region indicated in (<b>a</b>), highlighting the section where red coral and residual glaze are present; (<b>c</b>) SEM image displaying the 3D network structure of the red coral skeletons; and (<b>d</b>) SEM image providing a close-up view of the region indicated in (<b>c</b>).</p>
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<p>Morphology of the cross-section of sample DL-3 where coralline algae and red coral are attached: (<b>a</b>) optical microscopy (OM) image showing three distinct layers of different colors; and (<b>b</b>) scanning electron microscopy (SEM) image of the boxed region in (<b>a</b>), highlighting the clear boundary between red coral and coralline algae, large interspaces, tight bonding between coralline algae and the body, and pollutants deposited in the microcracks of the coralline algae skeletons and the body.</p>
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<p>Cross-sectional element mapping images corresponding to the position shown in <a href="#applsci-14-08596-f008" class="html-fig">Figure 8</a>b.</p>
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<p>Surface morphology of coralline algae and red coral attached to the inner wall of sample DL-3: (<b>a</b>) layer-by-layer arrangement showing pollutants, coralline algae, and red coral; and (<b>b</b>) scanning electron microscopy (SEM) image of the boxed region in (<b>a</b>), highlighting the exposed surface area where sedimentary pollutants, coralline algae, and red coral intersect. Both coralline algae and the sedimentary pollutant layer, including coralline algae skeleton remains, are visible beneath the red coral skeletons.</p>
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<p>μ-Raman spectra of marine organism remains: (<b>a</b>) Bryozoan remains; (<b>b</b>) solitary coral remains; (<b>c</b>) Serpulid remains; (<b>d</b>) red coral remains; (<b>e</b>) two calcium carbonate phases in solitary coral remains; and (<b>f</b>) red particles at the interface between the epitheca of solitary coral and the body of Shard DL.</p>
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<p>Illustration of the degradation process of Shard DL.</p>
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27 pages, 27600 KiB  
Article
New Insights into the Materials and Painting Techniques of Ancient Wall Paintings from the Roman Province of Dacia: A Minimally Invasive Multi-Method Approach
by Ioana Maria Cortea, Luminița Ghervase, Lucian Ratoiu, Ovidiu Țentea and Monica Dinu
Heritage 2024, 7(9), 5268-5294; https://doi.org/10.3390/heritage7090248 - 21 Sep 2024
Viewed by 1510
Abstract
A group of wall painting fragments discovered at Ulpia Traiana Sarmizegetusa, an important Roman archeological site located in the former Roman province of Dacia (Romania), have been investigated with the aim of defining the material composition of their pictorial layers and exploring the [...] Read more.
A group of wall painting fragments discovered at Ulpia Traiana Sarmizegetusa, an important Roman archeological site located in the former Roman province of Dacia (Romania), have been investigated with the aim of defining the material composition of their pictorial layers and exploring the pictorial technology used. In order to preserve the integrity of the murals and minimize sampling, an array of non- and micro-invasive techniques has been employed, including X-ray fluorescence, laser-induced breakdown spectroscopy, Fourier transform infrared spectroscopy, and hyperspectral imaging. In accordance with previous studies, the identified color palette was mainly based on iron-rich earth pigments (red and yellow ochres, green earth) and carbon-based blacks (soot/charcoal, bone black). Egyptian blue, lazurite, some lead-based pigments, and potentially indigo were also identified (in complex mixtures) on the uppermost paint layers, typically applied a secco over the a fresco background. The presence of expensive pigments and the existence of a red preparatory drawing, documented for the first time in the region, indicate that the original wall paintings had elaborate schemes and, secondly, reflect the patron’s wealth and social status. Hyperspectral imaging was able to retrieve some faded paint layers in certain cases, helping to recover lost decorative details, an indicator of a more complex polychromy compared to what we see today. The obtained results add important contributions to the limited corpus of data regarding the technical know-how of decorative polychrome painting on plaster found in Roman archeological sites in Romania. Full article
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<p>Optical microscopy images that highlight the stratigraphy of the paint layers—sample S6 (<b>a</b>); traces of a richer color palette—sample S6 (<b>b</b>); degradations of the pictorial layers—loss of the original pictorial layers, lacunae (highlighted with yellow dot circles), and formations of salts—sample S4 and S1 (<b>c</b>,<b>d</b>). The presence of a red ochre-based layer underneath the top paint layers was found in some of the investigated wall painting fragments (<b>a</b>,<b>d</b>), and can be linked with the existence of a preparatory drawing (<span class="html-italic">sinopia</span>).</p>
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<p>Normalized net count rate distribution of iron (<b>a</b>), arsenic (<b>b</b>), and lead (<b>c</b>) levels throughout all analyzed areas.</p>
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<p>Pearson correlation matrix.</p>
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<p>LIBS stratigraphic distribution of the main elements of interest on the red lacuna area (<b>a</b>) and on the black paint layer (<b>b</b>) on sample S4. The emission lines are labeled on the right side of the image.</p>
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<p>LIBS stratigraphy analysis on sample S6: C peak (<b>a</b>), Pb, Fe and Sr peaks (<b>b</b>).</p>
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<p>FTIR spectrum registered on the red paint layer on sample S2 (<b>a</b>), on a yellow ochre nodule extracted from the substrate of sample S3 (<b>b</b>), and on the green paint layer on sample S4 (<b>c</b>). The absorptions of the various accessory minerals associated with the natural earth pigments are marked on the spectra as follows: K, kaolinite; Q, quartz; C, calcite; H, hematite; G, goethite.</p>
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<p>FTIR spectrum (detail within the fingerprint region) registered on the light-blue paint layer on sample S4.</p>
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<p>SWIR data that highlight the behavior of the pigmented surfaces at specific wavelengths: 954 nm (<b>a</b>), 1204 nm (<b>b</b>), 1600 nm (<b>c</b>), 2003 nm (<b>d</b>), FCIR RGB: 1367-2182-2459 nm (<b>e</b>). Samples are displayed from left to right (S1 to S10) according to the notations used in <a href="#heritage-07-00248-t001" class="html-table">Table 1</a>.</p>
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<p>SAM classification maps obtained on the investigated wall painting fragments.</p>
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<p>LSU abundance maps obtained on the investigated wall painting fragments: red pigment (<b>a</b>), black pigment (<b>b</b>), purple pigment (<b>c</b>), and green pigment (<b>d</b>). Brighter pixels indicate greater abundance.</p>
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<p>SWIR reflectance spectrum registered on the green paint layer on sample S7 (<b>a</b>) and on the purple paint layer on sample S3 (<b>b</b>).</p>
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37 pages, 51814 KiB  
Article
Between North and South: Buddhist Cliff Sculpture in Northern Sichuan in the First Half of the Seventh Century CE
by Xiao Yang
Religions 2024, 15(9), 1123; https://doi.org/10.3390/rel15091123 - 18 Sep 2024
Viewed by 1157
Abstract
In the first half of the seventh century CE, clusters of Buddhist cliff sculptures were carved into cliffs and boulders in Guangyuan, Mianyang, Bazhong, and other locations nestled in the northern Sichuan Basin. They mark the start of large-scale Buddhist grotto construction in [...] Read more.
In the first half of the seventh century CE, clusters of Buddhist cliff sculptures were carved into cliffs and boulders in Guangyuan, Mianyang, Bazhong, and other locations nestled in the northern Sichuan Basin. They mark the start of large-scale Buddhist grotto construction in Sichuan, significantly impacting the establishment of regional grotto traditions in southwestern China. Through analysis of site forms, statue types, and devotional inscriptions, this article argues that these Buddhist cliff sculptures represent a reintegration of divergent Buddhist practices and artistic conventions that emerged during the Southern and Northern Dynasties in northern and southern China. While their niche-based site structure and collective sponsorship through the yiyi association can be traced back to northern China in the prior two centuries, the sculptural style primarily reflects a regional tradition exemplified by the free-standing statues unearthed in Chengdu, central Sichuan in the Southern Dynasties. The construction of these sites, catalyzed by the influx of northern officials and monks into Sichuan toward the end of the Sui and the early Tang, provides valuable material for exploring the social integration of northern and southern China, as well as the religious dynamics between Buddhism and Daoism in northern Sichuan. Full article
(This article belongs to the Special Issue Buddhist Literature and Art across Eurasia)
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<p>Locations of Buddhist sites in northern Sichuan in the first half of the seventh century CE. Drawn by the author.</p>
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<p>Dingguangyan in Chongxiangsi, Guang’an, Sichuan Province. Late sixth and the first half of the seventh century. Photographed by the author.</p>
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<p>An early 20th-century photo of Huangzesi, Guangyuan. Photographed by Ernst Boerschmann (<a href="#B2-religions-15-01123" class="html-bibr">Boerschmann 1923, p. 110</a>).</p>
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<p>Xikan, Bazhong, Sichuan Province. Seventh and eighth centuries. Photographed by Li Fei.</p>
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<p>Leishendong, Langzhong, Sichuan Province. First half of the seventh century. Photographed by the author.</p>
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<p>Bishuisi, Mianyang, Sichuan Province. First half of the seventh century. Photographed by the author.</p>
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<p>Dianjiangtai, Maoxian, Sichuan Province. 630 CE. Photographed by Li Fei.</p>
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<p>Hengliangzi, Jian’ge, Sichuan Province. 647 CE. Photographed by Li Fei.</p>
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<p>Xishanguan, Mianyang, Sichuan. Late sixth and early seventh centuries. Photographed by the author.</p>
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<p>(<b>a</b>). Niches 2 and 3, Shishiguan, Langzhong, Sichuan. R: H. 112 cm, W. 112 cm, 594 CE; L: H. 93 cm, W. 93 cm, 595 CE. (<b>b</b>). Niches 3 and 2, Cave 10, Qianfoyan, Langzhong, Sichuan. R: H. 36 cm, W. 27 cm, D. 8 cm; L: H. 41 cm, W. 28 cm, D. 8 cm. 635 CE. Photographed by the author.</p>
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<p>Niches 1, Leishengdong, Langzhong, Sichuan. H. 248 cm, W. 306 cm, D. 190 cm. First half of the seventh century. Drawn by the author.</p>
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<p>Main Niche, Cave 420, Mogao Grottoes, Dunhuang, Gansu. Sui Dynasty. Drawn by the author based on <a href="#B13-religions-15-01123" class="html-bibr">Dunhuang yanjiuyuan</a> (<a href="#B13-religions-15-01123" class="html-bibr">2011, p. 220</a>).</p>
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<p>(<b>a</b>). Cross-sectional schematic diagram of Wolongshan. (<b>b</b>). Layout of the boulder in Wolongshan. Drawn by the author.</p>
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<p>Layout of Cave 1, Southern Xiangtangshan, Handan, Hebei. Illustration adapted from <a href="#B48-religions-15-01123" class="html-bibr">Mizuno and Nagahiro</a> (<a href="#B48-religions-15-01123" class="html-bibr">1937</a>), <a href="#religions-15-01123-f007" class="html-fig">Figure 7</a>.</p>
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<p>Bahuisi, Quyang, Hebei Province. Late sixth century. Photographed by Huang Pan.</p>
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<p>(<b>a</b>). Cross-sectional schematic diagram of the modern external architecture of Huangzesi Niche 28. Drawn by the author. (<b>b</b>). Huangzesi Niche 28 and its surrounding, Guangyuan, Sichuan Province. Photograph adapted from <a href="#B2-religions-15-01123" class="html-bibr">Boerschmann</a> (<a href="#B2-religions-15-01123" class="html-bibr">1923, p. 110</a>).</p>
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<p>Stele of Mayor Cui, left wall, Niche 13, Huangzesi, Guangyuan, Sichuan Province. H. 146 cm, W. 42.5 cm, D. 6 cm. Photographed by the author.</p>
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<p>Niche 28, Huangzesi, Guangyuan, Sichuan Province. H. 686 cm, W. 555 cm, D. 360 cm. Photographed by the author.</p>
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<p>Niche 28, Huangzesi, Guangyuan, Sichuan Province. Drawn by the author, with background characters rendered in gray.</p>
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<p>(<b>a</b>). Statue no. 1 of Sichuan Museum, Wanfosi, Chengdu, Sichuan Province. Red sandstone, H. 36.2 cm, W. 30 cm. 523 CE. Collected in Sichuan Museum (accession no. 3577). Photographed and redrawn by the author. (<b>b</b>). Linedrawing of Statue no. 1 of Sichuan Museum. Redrawn by the author, with background characters in grey (<a href="#B52-religions-15-01123" class="html-bibr">Sichuan bowuyuan et al. 2013, f. 30</a>).</p>
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<p>Niche 55, Huangzesi, Guangyuan, Sichuan Province. H. 146cm, W. 144 cm, D. 144 cm. First half of the seventh century. Photographed by the author.</p>
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<p>Niche 56, Huangzesi, Guangyuan, Sichuan Province. H. 163 cm, W. 161 cm, D. 166 cm. First half of the seventh century. Photographed by the author.</p>
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<p>Niche 19, Kunfosi, Lezhi, Sichuan Province. Late sixth century. Photographed by the author.</p>
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<p>Niche 1, Wolongshan, Zitong, Sichuan. H. 262 cm, W. 240 cm, D. 191 cm. 634 CE. Photographed by the author.</p>
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<p>Niche 19, Bishuisi, Mianyang, Sichuan. H. 170 cm, W. 145.5 cm, D. 61 cm. Photographed by the author.</p>
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<p>Niche 1, Wolongshan, Zitong, Sichuan. Drawn by the author.</p>
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<p>Niche 10, Bishuisi, Mianyang, Sichuan. H. 120 cm, W. 273 cm, D. 25 cm. First half of the seventh century. Photograph taken by the author.</p>
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<p>Niches 10 and 19, Bishuisi, Mianyang, Sichuan. Early seventh century. Redrawn by the author based on <a href="#B54-religions-15-01123" class="html-bibr">Sichuan sheng wenwu kaogu yanjiuyuan and Mianyang shi wenwuju</a> (<a href="#B54-religions-15-01123" class="html-bibr">2010, pp. 1–30</a>).</p>
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<p>Dianjiangtai, Maoxian, Sichuan. R: Niche 1, H. 146 cm, W. 120 cm, D. 65 cm; L: Niche 6, H. 103 cm, W. 91 cm, D. 35 cm. 630 CE. Photograph taken by the author.</p>
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36 pages, 11038 KiB  
Article
Provenance Studies of a Set of Pick-Up Glass Fragments Found in Portugal and Dated to the 17th Century
by Francisca Pulido Valente, Inês Coutinho, Teresa Medici, Bernard Gratuze, Luís C. Alves, Ana Cadena and Márcia Vilarigues
Heritage 2024, 7(9), 5048-5083; https://doi.org/10.3390/heritage7090239 - 12 Sep 2024
Viewed by 1626
Abstract
One of the most recognized decorations of the pick-up technique is the millefiori glass, which has been commonly attributed to Venetian production. However, Portugal is the country where the largest known assemblage of this type of glass artefact has been studied and published. [...] Read more.
One of the most recognized decorations of the pick-up technique is the millefiori glass, which has been commonly attributed to Venetian production. However, Portugal is the country where the largest known assemblage of this type of glass artefact has been studied and published. In this work, two important archeological contexts were selected: (1) Santa Clara-a-Velha monastery (SCV) and (2) São João de Tarouca monastery (SJT). The fragments selection was made based on the diversity of decorative motifs, colors, and original forms that has been associated with Portuguese production. The compositional characterization was conducted by performing micro-particle-induced X-ray emission (µ-PIXE) mapping, which facilitated the visualization of the distribution of different oxides across the different glass layers and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to obtain the major, minor, and trace elements composition, including rare earth elements (REEs) to determine which kind of raw materials were used. Additionally, µ-Raman spectroscopy was employed to investigate the opacifiers, while UV–Visible spectroscopy was used to study which chromophores are presented in the glass samples. All the analyzed glass layers can be considered to be of a soda–lime–silica type, and four different geological patterns (from GP1 to GP4) were detected and reported. This result can indicate that these objects were made by using silica sources taken from four different geological settings. Interestingly, the GP3 represents about 41% of the analyzed glass fragments and is compatible with the pattern detected in some production wastes found in two different archeological contexts located in Lisbon, which reinforces the veracity of the theory that this GP can be attributed to a Portuguese production. On the other hand, GP1 was probably attributed Granada provenance. Full article
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<p>Map of Portugal, with the glass production furnaces dating to the 16th and 17th centuries and the considered archeological contexts signed [<a href="#B8-heritage-07-00239" class="html-bibr">8</a>]. The largest of the red circles indicates that in that region of the map, more than one glass production furnace was reported in the consulted literature.</p>
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<p>Selected pick-up glass fragments found in Santa Clara-a-Velha monastery to be analyzed.</p>
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<p>Selected <span class="html-italic">pick-up</span> glass fragments found in São João de Tarouca monastery to be analyzed.</p>
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<p>Base glass composition normalized to Na<sub>2</sub>O* (Na<sub>2</sub>O/(MgO + P<sub>2</sub>O<sub>5</sub> + K<sub>2</sub>O + CaO)) and K<sub>2</sub>O* (K<sub>2</sub>O/(Na<sub>2</sub>O + MgO + P<sub>2</sub>O<sub>5</sub> + CaO)) plotted with the correlation lines Na<sub>2</sub>O* + K<sub>2</sub>O* = 0.6 (untreated ashes) and 0.75 (treated ashes), indicating the use of, respectively, unpurified and purified ashes. cl = clear; db = dark blue; gr = green; p = purple; r = red; t = turquoise; w = white.</p>
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<p>Binary plot of TiO<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> and Al<sub>2</sub>O<sub>3</sub>/SiO<sub>2</sub> of SCV (blue circle) and SJT (green circle) glass fragments treated in this article and some contemporary glass fragments reported in the literature. The clusters are grouped based on the mineralogy of the glass-making sands. The area of the graph that belongs to a probable Lisbon production was published by Pulido Valente and co-authors [<a href="#B10-heritage-07-00239" class="html-bibr">10</a>,<a href="#B18-heritage-07-00239" class="html-bibr">18</a>,<a href="#B20-heritage-07-00239" class="html-bibr">20</a>,<a href="#B45-heritage-07-00239" class="html-bibr">45</a>,<a href="#B51-heritage-07-00239" class="html-bibr">51</a>,<a href="#B52-heritage-07-00239" class="html-bibr">52</a>].</p>
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<p>Binary chart of zirconium vs. hafnium, with the area of Venetian production marked in the chart [<a href="#B21-heritage-07-00239" class="html-bibr">21</a>,<a href="#B41-heritage-07-00239" class="html-bibr">41</a>,<a href="#B47-heritage-07-00239" class="html-bibr">47</a>]. cl = clear; db = dark blue; g = green; p = purple; r = red; t = turquoise; w = white.</p>
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<p>Representative geochemical patterns presented in logarithmic scale of trace elements and rare earth elements (REEs) found in SCV and SJT glass samples, normalized to Earth’s upper crust.</p>
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<p>Pattern representation of the chondrite normalization to REE of SCV and SJT glass fragments.</p>
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<p>Elemental maps of SCV_375 and SCV_250 glass fragments acquired by using μ-PIXE.</p>
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<p>Binary chart of MnO vs. Fe<sub>2</sub>O<sub>3</sub>. * cl = clear; db = dark blue; g = green; p = purple; r = red; t = turquoise blue; w = white.</p>
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<p>Image of the glass fragment V_074 analyzed by Lima and co-authors [<a href="#B20-heritage-07-00239" class="html-bibr">20</a>].</p>
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<p>UV–Vis absorption spectrum of the clear glass body performed on SCV (235, 236, 245, 250, 272, and 275) fragments, revealing the discernible influence of Co<sup>2+</sup> and Fe<sup>2+</sup> and Fe<sup>3+</sup> ions within the glass matrix.</p>
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<p>UV–Vis absorption spectrum of blue glass layers performed on SCV_357, SCV_265, and SCV_400 fragments revealing the discernible influence of cobalt (Co<sup>2+</sup>), copper (Cu<sup>2+</sup>), and iron (Fe<sup>3+</sup>) ions within the glass matrix.</p>
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<p>The UV–Vis absorption spectrum of green glass layer performed on the SCV_232 fragment revealing the discernible influence of cobalt (Co<sup>2+</sup>) and copper (Cu<sup>2+</sup>) ions within the glass matrix.</p>
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<p>The UV–Vis absorption spectrum of the purple glass layer performed on the SCV_368 fragment revealing the discernible influence of cobalt (Co<sup>2+</sup>) and manganese (MnO) ions within the glass matrix. The arrow is indicating the color of the sample.</p>
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<p>(<b>a</b>) UV–Vis absorption spectrum of red glass layer performed on SCV_329 fragment, revealing the discernible influence of monovalent (Cu<sup>+</sup>) and metallic (Cu<sup>0</sup>) copper. (<b>b</b>) Close-up of the SCV_245 fragment under the surface and cross-section.</p>
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<p>UV–Vis absorption spectrum of the turquoise glass body of the SCV_216 fragment revealing the discernible influence Cu<sup>2+</sup> ions into the glass matrix.</p>
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<p>(<b>a</b>) Optical microscope image of the SCV_250 glass sample where the coarse, white particles can be observed. (<b>b</b>) Raman spectrum of cassiterite (SnO<sub>2</sub>) and (<b>c</b>) Raman spectrum of malayaite (CaSnOSiO<sub>4</sub>).</p>
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<p>Images of the different groups of decoration patterns belonging to the <span class="html-italic">millefiori</span> glass fragments found in the SCV and SJT contexts (* represent the glass fragments that were not compositionally analyzed).</p>
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<p>Image of the cross-section of the SCV_364 and SCV_366 glass canes.</p>
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34 pages, 3498 KiB  
Review
The Usage of Virtual and Augmented Reality in Underwater Archeology
by Kinga Korniejenko and Bartosz Kontny
Appl. Sci. 2024, 14(18), 8188; https://doi.org/10.3390/app14188188 - 11 Sep 2024
Viewed by 1010
Abstract
Currently, virtual and augmented reality (VR and AR) technologies are becoming more and more widely used in various fields of human activity, including archeology. The aim of this article is to analyze the possibilities of using VR and AR technologies in broadly understood [...] Read more.
Currently, virtual and augmented reality (VR and AR) technologies are becoming more and more widely used in various fields of human activity, including archeology. The aim of this article is to analyze the possibilities of using VR and AR technologies in broadly understood activities related to underwater archeology. This work is a review and presents current applications of VR and AR in underwater archeology based on case studies. This paper presents the development of VR and AR technologies, including in the field of underwater archaeology, and generally describes the process of creating VR and AR applications for underwater archeology purposes, with particular emphasis on data collection methods. Then, the areas of application of these technologies in underwater archeology and related areas were generally presented and the barriers to their use were discussed. The most important part of the work is a discussion of the use of VR and AR in underwater archeology based on the selected case studies. The article ends with a summary of the current state and a discussion of the possibilities of developing virtual technologies in the applications of underwater archeology. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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<p>The history of the development of VR/AR and their application in underwater archaeology.</p>
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<p>Diagram of the process of creating virtual and augmented reality applications.</p>
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<p>The general division of data collection methods in underwater archeology.</p>
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<p>VR/AR and their application in underwater archaeology.</p>
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<p>VISAS project (selected shots from promotional materials): (<b>a</b>) use of virtual reality—a stand allowing a “visit” to Cala Minnola, (<b>b</b>) use of augmented reality underwater.</p>
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<p>Visualizations from the virtual experience (selected shots from the promotion materials): (<b>a</b>) a view of the photogrammetric reconstruction of the wreck—the first from the second part of the animation; (<b>b</b>) a hypothetical reconstruction of the wreck—a shot from the second part of the animation. Based on [<a href="#B120-applsci-14-08188" class="html-bibr">120</a>].</p>
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<p>Visualizations from the dry visit—dive into underwater archaeological sites—iMARECulture application (selected shots from promotional materials): (<b>a</b>) view of the ruins of the Roman city of Baiae from the perspective of a diver—representation of the actual state of the site; (<b>b</b>) narrative module.</p>
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<p>Visualizations from the game Dive in the Past (selected shots from promotional materials): (<b>a</b>) view of the ruins of the Roman city of Baiae from a diver’s perspective—a representation of the real state of the site; (<b>b</b>) a reconstruction of the archaeological site made in the game.</p>
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16 pages, 14018 KiB  
Article
The Stabilization of a Hellenistic City Square (Plaza) at the Kınık Höyük Archeological Site, Niğde Province, Türkiye
by Deniz Üçer Erduran, Burak Yolaçan and Lorenzo d’Alfonso
Buildings 2024, 14(9), 2719; https://doi.org/10.3390/buildings14092719 - 30 Aug 2024
Viewed by 607
Abstract
In recent years, at the Kınık Höyük archeological site in Niğde province in Turkey, a city square (plaza) located in the town’s acropolis was discovered. Context and spatial finds indicate that this stone-paved plaza dates to the Hellenistic era. It is made of [...] Read more.
In recent years, at the Kınık Höyük archeological site in Niğde province in Turkey, a city square (plaza) located in the town’s acropolis was discovered. Context and spatial finds indicate that this stone-paved plaza dates to the Hellenistic era. It is made of a large cobblestone masonry structure made of local amorphous units that were fixed only with compacted earth. The conservation plan concentrated on enclosing the unbound free edges by using new pavement and a retaining wall to stop the ongoing decay because the plaza had already lost its integrity before the discovery. To distinguish between the original application and modern interventions, new cladding was designed and installed lower than the ancient pavement’s level using smaller stones from the same source. Additionally, a retaining wall was planned and built to be plastered to achieve a plain surface, where the pavement’s texture created contrast and highlighted neat craftsmanship. For this consolidation application, a hydraulic lime-based binder was combined with local earth for compatibility with the older application. The application’s suitability and durability were demonstrated after it was observed for a few years while being subjected to atmospheric impacts without any protection. Therefore, the examination confirmed that the suggested method is safe to apply in situations where similar stabilization needs arise. Full article
(This article belongs to the Special Issue Selected Papers from the REHABEND 2024 Congress)
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<p>Drone photograph of the plaza, 2022.</p>
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<p>Topographic survey of the plaza, 2022 (Red, dashed line indicates the border of the related year’s investigation).</p>
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<p>Two principal repair methods for the pavement.</p>
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<p>Initial layers, geotextile and boulders, Section A.</p>
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<p>Infilling and cladding, Section A.</p>
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<p>Repair details (Blue hatch stands for principal repair 1, infill and pavement; yellow hatch stands for principal repair 2, retaining wall construction. The color coding is consistent with <a href="#buildings-14-02719-f003" class="html-fig">Figure 3</a>).</p>
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<p>Construction of the retaining wall and plastering process.</p>
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<p>Section A after conservation.</p>
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<p>Section C after conservation.</p>
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<p>The Hellenistic Plaza after restoration in 2020.</p>
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<p>The plaza three years after consolidation, in 2023.</p>
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25 pages, 6173 KiB  
Article
Enhancing Underwater Object Detection and Classification Using Advanced Imaging Techniques: A Novel Approach with Diffusion Models
by Prabhavathy Pachaiyappan, Gopinath Chidambaram, Abu Jahid and Mohammed H. Alsharif
Sustainability 2024, 16(17), 7488; https://doi.org/10.3390/su16177488 - 29 Aug 2024
Viewed by 1747
Abstract
Underwater object detection and classification pose significant challenges due to environmental factors such as water turbidity and variable lighting conditions. This research proposes a novel approach that integrates advanced imaging techniques with diffusion models to address these challenges effectively, aligning with Sustainable Development [...] Read more.
Underwater object detection and classification pose significant challenges due to environmental factors such as water turbidity and variable lighting conditions. This research proposes a novel approach that integrates advanced imaging techniques with diffusion models to address these challenges effectively, aligning with Sustainable Development Goal (SDG) 14: Life Below Water. The methodology leverages the Convolutional Block Attention Module (CBAM), Modified Swin Transformer Block (MSTB), and Diffusion model to enhance the quality of underwater images, thereby improving the accuracy of object detection and classification tasks. This study utilizes the TrashCan dataset, comprising diverse underwater scenes and objects, to validate the proposed method’s efficacy. This study proposes an advanced imaging technique YOLO (you only look once) network (AIT-YOLOv7) for detecting objects in underwater images. This network uses a modified U-Net, which focuses on informative features using a convolutional block channel and spatial attentions for color correction and a modified swin transformer block for resolution enhancement. A novel diffusion model proposed using modified U-Net with ResNet understands the intricate structures in images with underwater objects, which enhances detection capabilities under challenging visual conditions. Thus, AIT-YOLOv7 net precisely detects and classifies different classes of objects present in this dataset. These improvements are crucial for applications in marine ecology research, underwater archeology, and environmental monitoring, where precise identification of marine debris, biological organisms, and submerged artifacts is essential. The proposed framework advances underwater imaging technology and supports the sustainable management of marine resources and conservation efforts. The experimental results demonstrate that state-of-the-art object detection methods, namely SSD, YOLOv3, YOLOv4, and YOLOTrashCan, achieve mean accuracies ([email protected]) of 57.19%, 58.12%, 59.78%, and 65.01%, respectively, whereas the proposed AIT-YOLOv7 net reaches a mean accuracy ([email protected]) of 81.4% on the TrashCan dataset, showing a 16.39% improvement. Due to this improvement in the accuracy and efficiency of underwater object detection, this research contributes to broader marine science and technology efforts, promoting the better understanding and management of aquatic ecosystems and helping to prevent and reduce the marine pollution, as emphasized in SDG 14. Full article
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<p>Proposed System architecture.</p>
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<p>Selection of images, highlighting the dataset’s diversity.</p>
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<p>Process flow description for color correction module of CBAM.</p>
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<p>Unprocessed images.</p>
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<p>Output image after color correction from the input image.</p>
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<p>U-Net architecture.</p>
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<p>(<b>a</b>) Modified Swin Transformer Block (MSTB) for enhancing image resolution. (<b>b</b>) Process flow of MSTB in underwater image resolution enhancement.</p>
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<p>Enhanced images.</p>
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<p>Process flow in diffusion model.</p>
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<p>Corrupted image.</p>
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<p>Image generated using the Diffusion model.</p>
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<p>MS COCO object detection from [<a href="#B5-sustainability-16-07488" class="html-bibr">5</a>].</p>
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<p>Output image with underwater objects detected and classified using AIT-YOLOv7.</p>
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<p>Precision, recall, and mAP metrics for the proposed AIT-YOLOv7.</p>
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<p>Precision, recall, and mAP metrics for the proposed AIT-YOLOv7.</p>
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<p>(<b>a</b>) Input image from the dataset. (<b>b</b>) Convolutional block attention with modified Swin Transformer Block. (<b>c</b>) Diffusion model. (<b>d</b>) Detected and classified with high precision.</p>
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<p>(<b>a</b>) Input image from the dataset. (<b>b</b>) Convolutional block attention with modified Swin Transformer Block. (<b>c</b>) Diffusion model. (<b>d</b>) Detected and classified with high precision.</p>
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18 pages, 4239 KiB  
Article
The Role of Mineral and Organic Composition on the Phosphorus Content of Prehistoric Pottery (Middle Neolithic to Late Bronze Age) from NW Spain
by María Guadalupe Castro González, María Pilar Prieto Martínez and Antonio Martínez Cortizas
Minerals 2024, 14(9), 880; https://doi.org/10.3390/min14090880 - 29 Aug 2024
Viewed by 1007
Abstract
Phosphorus is a key element for identifying past human activity. Recently, phosphorus analyses have been extended to archaeological objects, aiming at distinguishing how depositional contexts contribute to its enrichment. In archaeological pottery, phosphorus might depend on several manufacturing and postdepositional processes (i.e., addition [...] Read more.
Phosphorus is a key element for identifying past human activity. Recently, phosphorus analyses have been extended to archaeological objects, aiming at distinguishing how depositional contexts contribute to its enrichment. In archaeological pottery, phosphorus might depend on several manufacturing and postdepositional processes (i.e., addition of organic temper, pigments, diagenetic incorporation). We analyzed by XRD, XRF, and mid-infrared (FTIR-ATR) spectroscopy 178 pots from eight NW Spain archaeological sites. These sites encompass different chronologies, contexts, and local geology. The phosphorus content was highly variable (224–27,722 mg kg−1) overall but also between archeological sites (1644 ± 487 to 13,635 ± 6623 mg kg−1) and within archaeological sites (4–36, max/min ratio). No phosphate minerals were identified by XRD nor FTIR-ATR, but correlations between phosphorus content and MIR absorbances showed maxima at 1515 and 980 cm−1, suggesting the presence of two sources: one organic (i.e., phosphorylated aromatic compounds) and another inorganic (i.e., albite and K-feldspar). Phosphorylated aromatics were most likely formed during pottery firing and were preserved due to their high resistance to temperature and oxidation. Meanwhile, albite and K-feldspar are among the P-bearing minerals with higher P concentrations. Our results suggest that P content is related to intentional and non-intentional actions taken in the pottery production process. Full article
(This article belongs to the Special Issue The Significance of Applied Mineralogy in Archaeometry)
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<p>Location of the selected sites in Galicia (NW Spain). The symbols represent the functional features of each site. Base maps: CNIG—<a href="https://centrodedescargas.cnig.es/CentroDescargas/busquedaSerie.do?codSerie=02102-BTN25" target="_blank">https://centrodedescargas.cnig.es/CentroDescargas/busquedaSerie.do?codSerie=02102-BTN25</a> (accessed on 17 May 2024) and Eurostat/GISCO—<a href="https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units/countries" target="_blank">https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units/countries</a> (accessed on 04/06/2024). Figure created using QGIS 3.28.12. QGIS.org, 2023. QGIS Geographic Information System. QGIS Association. <a href="http://www.qgis.org" target="_blank">http://www.qgis.org</a> (accessed on 24 August 2024).</p>
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<p>Mineralogy of the studied sherds (number of sherds samples of each site in which the mineral was present). QZ: quartz; PG: plagioclase; KF: K feldspar; MC: micas; AM: amphibole; CH: chlorite; KA: kaolinite; TA: talc; IOX: iron oxides; SP: serpentine; EP: epidote. Yellow: sites on areas of felsic lithologies; orange: sites on areas of mafic lithologies.</p>
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<p>Phosphorus concentration (log scale) of the studied sherds (mg kg<sup>−1</sup>). Upper panel, sites on areas dominated by felsic geological materials; lower panel, sites from areas dominated by mafic materials.</p>
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<p>Projections of the loadings of chemical elements (<b>left</b>) and the scores of the samples (<b>right</b>). Yellow: pots from archaeological sites on areas of felsic lithologies; orange: pots from sites on areas of mafic lithologies.</p>
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<p>Scores of the analyzed sherds for the three extracted components. Left, sites on areas dominated by felsic geologic materials; right, sites from areas dominated by mafic materials. Sites: AD, A Devesa de Abaixo; FZ, Fraga do Zorro; GD: Guidoiro Areoso; AM: AS Mamelas; AL: A Lagoa; DR: Devesa do Rei; OE: Os Escurros; RQ: Requeán. Yellow: sites on areas of felsic lithologies; orange: sites on areas of mafic lithologies.</p>
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<p>Mid-infrared spectra of the samples analyzed in each archaeological site. Sites: AD: A Devesa de Abaixo; FZ: Fraga do Zorro; GD: Guidoiro Areoso; AM: AS Mamelas; AL: A Lagoa; DR: Devesa do Rei; OE: Os Escurros; RQ: Requeán.</p>
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<p>(<b>A</b>) Correlation spectra for P (light gray line) and G-Cp2 (black line). (<b>B</b>) FreeViz graphs using as target variables P (log)concentrations and G-Cp2 scores, and selected bands of the correlation spectra (normalized absorbances) as influencing variables. (<b>C</b>) Spectra of albite and microcline (a.u., absorbance units) obtained from the RRUFF database—<a href="https://rruff.info/" target="_blank">https://rruff.info/</a> (accessed on 24 August 2024).</p>
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<p>Left, scatterplot of observed and expected G-Cp2 scores. Right, distribution of weights of the four contributors (wOM: organic compounds; wAb: albite; wSrRb: Sr/Rb ratio; wKF: K-feldspar) to the G-Cp2 modeled by multilinear regression. Sites: AD: A devesa de Abaixo; FZ: Fraga do Zorro; GD: Guidoiro Areoso; AM: AS Mamelas; AL: A Lagoa; DR: Devesa do Rei; OE: Os Escurros; RQ: Requeán.</p>
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