Architectural Features Research Articles

BASIC PRINCIPLES OF PARK ZONES ARRANGEMENT IN THE CONDITIONS OF THE MODERN CITY

The main principles of park zones arranging in the conditions of modern cities are analyzed in order to determine the optimal approaches to their development and organization, in particular, taking into account ecological, socio-economic and aesthetic aspects. Arguments are given that speak of the importance of observing the rules of zoning of such territories and prove the impact of the presence of properly located park zones on the physical and mental health of people. The most effective strategies for preserving the natural environment and creating a comfortable space for the city's residents have been determined, as well as potential obstacles and problems that may arise in the process of setting up park areas, and suggestions for overcoming them have been identified. The article provides a comparative analysis of the arrangement of park zones in Mariupol and Berlin. Fundamental differences in the planning of park zones as recreation areas for city dwellers have been identified. Innovative methods of using space, the introduction of eco-friendly materials and technologies, as well as the interaction of park zones with other aspects of urban planning (residential districts, the business part of the city, industrial zone, etc.) to create a healthier, sustainable and attractive urban environment were studied. The studies were carried out in accordance with the current regulatory documents, which regulate the basic principles of arranging park zones, taking into account world experience regarding location, planning, filling (small architectural forms, monuments, lighting, landscaping) and other aspects. The main criteria for the optimization of park zones are: preservation of the existing priority direction of territory use while increasing the protection regime of individual areas; preservation of green areas and historical integrity of the territory; preservation and restoration of the formed landscape and architectural features of parks-monuments of garden and park art; appropriate territorial ratio of functional zones, organization of care for park territories at the level of local authorities and compliance with rules of use. Arrangements of park and green areas of cities from different countries were compared. Keywords: park areas, modern trends, green areas.

A Case Study of Integrating Terrestrial Laser Scanning (TLS) and Building Information Modeling (BIM) in Heritage Bridge Documentation: The Edmund Pettus Bridge

The Edmund Pettus Bridge, Selma, Alabama, a symbol of the American Civil Rights Movement and an exemplar of early 20th-century engineering, stands as a testament to the progress and challenges of its era. The bridge, recognized for its pivotal role in the 1965 “Bloody Sunday” conflict and the following Selma to Montgomery marches for voting rights, also represents significant engineering achievements with its distinctive design and construction methodology. In this study, the research team presents a comprehensive framework for documenting heritage bridges by utilizing Terrestrial Laser Scanning (TLS) technology, supplemented by other Reality Capture (RC) techniques, including Structure from Motion (SfM), 360-degree photography, and Unmanned Aerial Vehicle (UAV), and integrating the data within a Building Information Modeling (BIM) environment. The focus on the Edmund Pettus Bridge case study demonstrates how this novel approach can capture the intricate details of its structural and architectural features while preserving its historical narratives. The documentation outcomes, including a detailed BIM model and a set of Historic American Engineering Record (HAER) drawings, highlight the effectiveness of combining TLS and BIM in conserving unconventional heritage structures like bridges. This paper also discusses the technological challenges encountered, such as dealing with heavy traffic and environmental constraints during data acquisition and developing the BIM model and drawings. It outlines the strategies implemented to address these issues. This research contributes to preserving a severely under-represented American National Historic Landmark (NHL). It sets a precedent for documenting other non-building heritage structures, balancing technological advancements with historical integrity.

Atlas for the Lateralized Visuospatial Attention Networks (ALANs): Insights from fMRI and network analyses

Abstract Hemispheric specialization is central to human evolution and fundamental to human cognitive abilities. While being a defining feature of functional brain architecture, hemispheric specialization is overlooked to derive brain parcellations. Alongside language, which is typically lateralized in the left hemisphere, visuospatial attention is set to be its counterpart in the opposite hemisphere. However, it remains uncertain to what extent the anatomical and functional underpinnings of lateralized visuospatial attention mirror those supporting language. Building on our previous work, which established a lateralized brain atlas for language, we propose a comprehensive cerebral lateralized atlas delineating the anatomo-functional bases of visuospatial attention, Atlas for Lateralized visuospatial Attentional Networks (ALANs). Combining task and resting-state functional connectivity analyses, we identified 95 lateralized brain areas comprising three networks supporting visual (visu), motor (somato-motor), and spatial processing (posterior-medial) processes at work during a line judgment bisection task, and two large-scale networks related to integrated visuospatial attention processes, the parieto-frontal and temporo-frontal networks. We identify hubs playing a pivotal role in the intra-hemispheric interaction within visuospatial attentional networks. The rightward lateralized parieto-frontal encompasses one hub, the inferior frontal sulcus, while the temporo-frontal network encompasses two right hubs: the inferior frontal cortex (pars triangularis and the anterior insula) and the posterior part of the superior temporal sulcus. Compared with our language lateralized atlas, we demonstrated that specific regions within these networks encompass the homotope of the language network from the left hemisphere. This atlas of visuospatial attention provides valuable insights for future investigations into the variability of visuospatial attention and hemispheric specialization research. Additionally, it facilitates more effective comparisons among different studies, thereby enhancing the robustness and reliability of research in the field of attention.

Lung Cancer Detection using Ensemble Techniques

This paper implements a system for enhancing the detection of lung cancer through an ensemble approach, which amalgamates the predictive outputs generated by three distinct convolutional neural networks (CNNs): ResNet50, EfficientNet, and InceptionNet. Leveraging the diverse architectural features and learning capabilities of these CNNs, the ensemble method aims to synergistically fuse their individual predictions to achieve heightened accuracy and robustness in identifying potential lung cancer manifestations.

Urban Comparison of Former “Fotokemika” Factory Complexes in Zagreb and Samobor

The urban fabric of cities is in constant flux. This paper is focused on two areas of former “Fotokemika” industrial complexes for production of photographic materials, located in Zagreb and Samobor. Complexes are analyzed based on previous studies, archive material and field research. The results compare their urban transformations in contemporary urban context with new uses. The aim is to detect urban, micro-urban and architectural characteristics in order to understand how they change through time within each city by comparing the initial contexts in the first half of the 20th century and contemporary situations followed in the period between 2020 and 2024.

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning

Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it is imperative to promptly identify and diagnose such conditions at their earliest stages using dermoscopic imaging. Computer-aided diagnosis (CAD) methods relying on deep learning techniques especially convolutional neural networks (CNN) can effectively address this issue with outstanding outcomes. Nevertheless, such black box methodologies lead to a deficiency in confidence as dermatologists are incapable of comprehending and verifying the predictions that were made by these models. This article presents an advanced an explainable artificial intelligence (XAI) based CAD system named “Skin-CAD” which is utilized for the classification of dermoscopic photographs of SC. The system accurately categorises the photographs into two categories: benign or malignant, and further classifies them into seven subclasses of SC. Skin-CAD employs four CNNs of different topologies and deep layers. It gathers features out of a pair of deep layers of every CNN, particularly the final pooling and fully connected layers, rather than merely depending on attributes from a single deep layer. Skin-CAD applies the principal component analysis (PCA) dimensionality reduction approach to minimise the dimensions of pooling layer features. This also reduces the complexity of the training procedure compared to using deep features from a CNN that has a substantial size. Furthermore, it combines the reduced pooling features with the fully connected features of each CNN. Additionally, Skin-CAD integrates the dual-layer features of the four CNNs instead of entirely depending on the features of a single CNN architecture. In the end, it utilizes a feature selection step to determine the most important deep attributes. This helps to decrease the general size of the feature set and streamline the classification process. Predictions are analysed in more depth using the local interpretable model-agnostic explanations (LIME) approach. This method is used to create visual interpretations that align with an already existing viewpoint and adhere to recommended standards for general clarifications. Two benchmark datasets are employed to validate the efficiency of Skin-CAD which are the Skin Cancer: Malignant vs. Benign and HAM10000 datasets. The maximum accuracy achieved using Skin-CAD is 97.2 % and 96.5 % for the Skin Cancer: Malignant vs. Benign and HAM10000 datasets respectively. The findings of Skin-CAD demonstrate its potential to assist professional dermatologists in detecting and classifying SC precisely and quickly.

Khūrigān: a Recently Discovered Post-Achaemanid Rock-Cut Tomb near Naqsh-e Rostam, Iran

Abstract Near the northwestern-southeastern foothills of the Marvdasht plain in Fars province, lie a range of ancient necropoleis which date from the reign of Darius I, the Achaemenid king and until the first century after the Muslim conquest. The well-known necropoleis of Naqsh-e Rostam and Persepolis have the most complex tombs among them. However, there are other burials in this region, although smaller and simpler or even imitative, which have considerable archeological importance, since they provide information for the social and political understanding of their time of creation, often known as the dark ages. The present study aims to introduce and analyze the structural-chronological features of the rock-cut tomb of Khūrigān, one of the recent discoveries near Naqsh-e Rostam. Regarding the architectural and stylistic characteristics of the tomb and its context, as well as considering its archeological landscape and using historical information, the period from the last century of the Achaemenid reign until the beginning of the Sassanid dynasty is considered for the general chronology of this tomb; however, through applying a more detailed perspective, we can attribute the chronology of this tomb to the first half of the 3rd until the 1st century BC.

The Role and Significance of Human-Space Relationship and Psychology in Interior Architecture and Architectural Education

Each geographic location has its own unique architectural language and characteristics. Therefore, it is important to acknowledge that architectural design cannot be universally suitable for every geography. To be able to think, calculate, evaluate and analyse all these and more at every scale is possible with ‘human-space relationship and psychology’ (HSRP). For this reason, HSRP seems to be a lerning necessity for architecture students, especially interior architecture departments, in undergraduate education processes. The study started by determining the position of architecture and interior architecture education and HSRP in undergraduate education. Based on the findings obtained and analysed, an education model on HSRP was developed and applied to interior architecture and architecture undergraduate students in three different academic terms. The HSRP education model combined theoretical subjects and activities, and the students’ cognitive levels were measured at the beginning and end of the academic term. Quantitative data demonstrated that the developed education model made the subject more comprehensible to the students compared to a purely theoretical approach. This emphasised the importance and necessity of the course.

Architectural Features of Churches in the Kaštela Coastal Area between 1492 and 1918

This paper aims to synthesize recent knowledge about the churches built between 1492 and 1918 in the Kaštela area and present its characteristics obtained by research in the doctoral thesis of the first author. The research covered 18 churches located in the coastal area. Fourteen churches have been preserved, two were pulled down, while the existence of two other churches was detected on old maps and in written documents. After a genealogical and catalogue study, a typological and stylistic analysis of the churches has been made. The longitudinal aisleless churches as a dominant shape vary in dimensions, type of construction, construction solutions and elements of architectural decoration.

An Authentic Example of Ottoman-Era Wooden Summerhouses; Cemil Topuzlu Kiosk

The beginning of the 18th century is known as the “Westernization Period” in Ottoman architecture. It was in this period that Western-born architectural movements found their way into the Ottoman Empire. This was also a time in which new types of structures emerged in Ottoman architecture as the Western influence continued to permeate both religious and civil architecture. This impact also affected the Ottoman culture of housing, leading to important changes in residential structures. The new cultural elements arriving from the West began to be apparent in the plans, facades, interiors, and decorative components of the homes of the affluent, most of which were built by Western architects. This was a time in which lifestyles were changing, and especially in the capital of Istanbul, a rich assortment of residential architecture was expressed in styles that included the Neo-Baroque, Neo-Gothic, Orientalism, Art Nouveau, Eclecticism, Swiss Châlet, and Late Victorian. One of the new types of structures that appeared in this period was the summerhouse. While these houses belonged to the wealthy Ottoman elite and reflected the traditional Ottoman residential fabric in their plans and styles, a large number carried the architectural characteristics of the summerhouses and mansions of the West. The aim of this article is to describe an authentic example of the group of wooden summerhouses that were outstanding products of Ottoman residential architecture in the 19th century, at a time when the Empire’s cultural norms were turning toward the West. The characteristics of the plans of these buildings, the configuration of their facades and decorative elements will be presented, as will other information on the wooden summerhouses of the period.

Muqarnas in Islamic Architecture: Development, Materials, and Techniques

Muqarnas was first created during the first millinium AD and became a defining feature of Islamic architecture during the second mellinium, specifically between the 11th and 16th centuries, both in religious and secular contexts. Although largely abandoned by the 17th century, the use of muqarnas decoration reached its peak during the above period. This study examines muqarnas, its three-dimensional architectural embellishment, as well as its development and influence on modern architecture. For this purpose, the descriptive analytical approach was employed. Architectural surveys were carried out at the local level, while textual analysis was done to analyze the historical development. The history of muqarnas was traced from Islamic religious buildings to modern architecture. It was found that digital technologies including Computer Aided Design (CAD) and computer numerical control (CNC) have influenced muqarnas pattern design and rebirth in the 20th and 21st centuries. Both ancient and modern muqarnas use isometries and symmetry, although their design procedures are different. Parametric design and CAD tools allow the current muqarnas to be dynamic and flexible, unlike the traditional ones. The current research underlines that regionally available materials and pattern availability affect the design of muqarnas. Early manifestations of muqarnas were used to fragment squinches, which ultimately led to the creation of an aesthetically pleasing formal mechanism and a system of three-dimensional decoration. In the middle period, muqarnas was also used as decorative carvings on structural member. At present, lightweight materials such as fiberglass and pre-fabricated muqarnas are preferred in contemporary architecture, although the details of muqarnas are still maintained for their aesthetic value. The geometry used to calculate muqarnas has remained the same since its development, regardless of the materials used. This research stimulates the design of new muqarnas patterns for aesthetic purposes and building performance optimization. Modern architecture uses muqarnas compositions and digital technologies to reflect the traditional cultural and historical patterns, creating a developing trend.

EXPLORING HABITAT APPROPRIATION IN THE TRADITIONAL FABRIC OF AIT ATTELI VILLAGE, KABYLIE (ALGERIA)

This article examines the appropriation of housing forms within the village fabric of the Kabylian region in northern Algeria. The region has experienced significant architectural, spatial, and socio-cultural transformations, affecting both existing structures and newly produced forms. The study focuses primarily on spatial and architectural elements, utilizing observations, visits, and surveys of various cases. This is complemented by a socio-cultural analysis based on interviews and survey guides to identify existing housing typologies and the villagers' aspirations, as well as the broader social context. Several types of housing were identified, including villas, blocks of flats, and apartments. Residents appropriate these different types by integrating modern elements while retaining traditional aspects. This duality is evident in both architectural features and socio-cultural practices. The mechanisms of appropriation reveal an ambivalence in how villagers occupy their dwellings: while there is a strong desire for modernity to meet needs for comfort, security, and privacy, there remains a deep attachment to traditional structures and the values, practices, and traditions of Kabylian village society.

Adapting Street Profile Design by Using Nature-Based Solutions in New Neighbourhoods and the Retrofit of Buildings

The aim of this paper is to analyse ways to upgrade the existing urban and architectural features in the built environment by incorporating and enhancing the use of nature-based solutions (NbSs) in relation to the city of Bucharest, which lacks green spaces mapping and quality studies and literature. The paper draws a comparison between the design elements used in other cities, namely Lisbon, Vienna and Rome. These are also analysed and compared in relation to the integration in a mixed urban development plan for a research-to-business neighbourhood design competition in Măgurele, situated near Bucharest. A matrix of five criteria is used for the analysis: historical context, urban context, nature versus design, use and climate context. In Lisbon, examples range from new green walls, modern green Mediterranean courtyards, NbS in scaffolding and temporary walls, the placing of Miradores around the city to green-and-healthy marketing tools for restaurants. For Vienna, a street is being remodelled in an innovative way using independent green infrastructure designs in existing retrofitted parking units, hotels and residential constructions. For Bucharest, emergent pop-up, small scale, bottom-up solutions push the city’s urban fabric beyond the greyish look of socialist-communist background and eclectic late 19th, early 20th century built heritage. For Măgurele, different versions of a modern neighbourhood and street profile design issues are analysed, using 3D renderings that incorporate NbS at various insertion scales. Existing example cases showcase new dimensions and toolsets of the adaptation of the urban fabric based on a more ecosystem-based approach of architectural-urban research by design, as possible instruments that facilitate a Green Transition in urban settings. Covering more cities in the future would add to the impact and contribution of this study.

3D printed CoCrMo personalised load-bearing meta-scaffold for critical size tibial reconstruction

Porous scaffolds have evolved, allowing personalised 3D-printed structures that can improve tissue reconstruction. By using scaffolds with specific porosity, Poisson's ratio and stiffness, load-bearing tissues such as tibial reconstruction can be improved. Recent studies suggest the potential for negative Poisson's ratio (−υ) meta-scaffolds in mimicking the behaviour of natural tissue, leading to improved healing and tissue reintegration. This study reveals a porous meta-scaffold that offers high −υ and can be personalised to match desired stiffness. By using laser powder bed fusion (L-PBF) of CoCrMo, a porous structure was created, characterised by its ability to achieve heightened −υ. Prototype testing and numerical modelling unveiled a proxy-model capable of predicting and personalising the porosity, yield strength, elastic modulus, and −υ of the tibial meta-scaffold representing a novel contribution to the field. The surrogate model also aids characterising the impact of design variables such as of the scaffold on the key performance requirements of the tibial scaffold. This approach enables the fabrication of porous biomaterials with personalised properties, specifically suited for load-bearing tibial reconstruction. The resulting meta-scaffold offers −υ ranging from -0.16 to -0.38, porosity between 73.46% and 85.36%, yield strength of 30–80 MPa, and elastic modulus ranging from 8.6 to 22.6 GPa. The optimised architecture feature −υ of 0.223 and a targeted elastic modulus of 17.53 GPa, while also showcasing yield strength and porosity of 57.2 MPa and 76.35%, respectively. By combining 3D printing with tailored scaffolds, this study opens doors to mass customisation of improved load-bearing porous biomaterials that of negative Poisson's ratio and stiffness matching.

The architectural and construction features as a criteria of identity of the Orthodox Churches

The architectural and construction features as a criteria of identity of the Orthodox Churches

Evolutionary origins of archaeal and eukaryotic RNA-guided RNA modification in bacterial IS110 transposons.

Transposase genes are ubiquitous in all domains of life and provide a rich reservoir for the evolution of novel protein functions. Here we report deep evolutionary links between bacterial IS110 transposases, which catalyze RNA-guided DNA recombination using bridge RNAs, and archaeal/eukaryotic Nop5-family proteins, which promote RNA-guided RNA 2'-O-methylation using C/D-box snoRNAs. Based on conservation in the protein primary sequence, domain architecture, and three-dimensional structure, as well as common architectural features of the non-coding RNA components, we propose that programmable RNA modification emerged via exaptation of components derived from IS110-like transposons. Alongside recent studies highlighting the origins of CRISPR-Cas9 and Cas12 in IS605-family transposons, these findings underscore how recurrent domestication events of transposable elements gave rise to complex RNA-guided biological mechanisms.

Neotectonic deformations of the lakebeds in Esrum Sø, eastern Denmark, interpreted to indicate a Postglacial pull-apart basin.

Esrum Sø, with a marked elongation trending N–S, located in the glaciomorphological landscape of north-eastern Sjælland, is one of the biggest lakes in Denmark. The lake is shaped as a large ‘sink’ with steep sides and a maximum depth of c. 22 m. The present investigation and mapping of the structures of the lakebeds is based on the interpretation of 10 reflectors on 82 acquired high-resolution seismic sections (Chirp III) and correlation to the 8.5 m long Esrum Sø drill core in the northern part of Esrum Sø. A new formation, the Esrum Formation, with two members, the Fredensborg and Nødebo Members, is erected based on the geological information obtained from the drill core, and traced on the seismic sections over the major part of Esrum Sø. In the northern part of the lake, the seismic sections reveal a number of anti- and synform structures, which we group into five architectural features. The mapping of these structures show N–S trending vertical fractures, fault scarps and fold crests, which in places are bent towards a NW direction. In some, mainly southern, parts of the lake, gas stored in the gyttja (Nødebo Member) and close to the lake floor degrades the seismic signal significantly. The gas is ascribed to seepage and production close to the lake floor. The integration of the seismic interpretation and the Esrum Sø drill core data shows that the Young Baltic till constitutes the base of the depression where Esrum Sø is located. In Bølling to Preboreal time the Esrum Sø was a shallow freshwater lake with no tectonic activity (Fredensborg Member), and the major deformation and subsidence of the lake basin took place in Boreal to Atlantic time (Nødebo Member). Our interpretation favours a model of a Postglacial pull-apart basin related to extension in the wrench-fault tectonic zone aligned with the Sorgenfrei–Tornquist Zone.

PATH-13. LEARNED RESIZING WITH EFFICIENT TRAINING (LRET) FACILITATES IMPROVED PERFORMANCE OF LARGE-SCALE BRAIN TUMOR HISTOLOGY IMAGE CLASSIFICATION MODELS

Abstract BACKGROUND Histologic examination is vital in oncology research and diagnostics. The adoption of digital scanning of whole slide images (WSI) has created an opportunity to leverage deep learning-based image classification methods to enhance diagnosis and risk stratification. However, technical limitations prevent training and deployment of accurate comprehensive multiclass deep convolutional neural networks (DCNN) models for histopathology image classification. The input dimensions of DCNN architectures are small compared to the typical pathologist field of view, degrading performance by excluding important architectural features. Furthermore, data requirements for comprehensive models are sufficiently large to overwhelm the system memory during training. METHODS A method termed Learned Resizing with Efficient Training (LRET) was developed to address the main limitations of traditional histopathology classification model training. The LRET method couples efficient training techniques with image resizing to facilitate seamless integration of larger histology image patches into state-of-the-art classification models while preserving important structural information. The LRET method was coupled with two distinct resizing techniques to train three diverse histology image datasets using five different DCNN architectures. Performance metrics were compared on cross validation and hold out test sets. RESULTS LRET-trained models were flexible to multiple input patch dimensions and DCNN models. We demonstrated performance improvement across all datasets while significantly reducing the training time and resources over traditional methods. Using a large-scale, multiclass brain tumor classification dataset consisting of 74 distinct histopathologic classes, LRET-trained models outperformed existing methods by 15-28% in accuracy, yielding 94% accuracy for the best model. CONCLUSION The LRET method for DCNN training significantly enhances the performance of large-scale multiclass histopathology image classification. The implications of this work extend to broader applications within medical imaging and beyond, where efficient integration of high-resolution images into deep learning pipelines is paramount for driving advancements research and clinical practice.

LGG-13. UNRAVELING THE SPATIAL TUMOR MICROENVIRONMENT OF PEDIATRIC LOW-GRADE GLIOMAS USING IMAGING MASS CYTOMETRY

Abstract Pediatric low-grade gliomas (pLGG) are the most common brain tumors in children and are associated with significant morbidity. Therefore, there is an urgent need for novel therapeutic strategies. While some studies have described pLGG’s tumor microenvironment (TME) from bulk RNAseq and scRNAseq, little is known about the spatial architecture of pLGG and its association with clinico-molecular features. Our study utilized imaging mass cytometry and a panel of 35 metal-labelled antibodies to unravel the spatial organization of key TME cell populations in 120 primary pLGG samples from the LOGGIC Core BioClinical DataBank. Cellular neighborhood analysis was performed to map the spatial organization of pLGG TME. Several clinic-molecular features (entity, tumor location, genetic driver alteration, disease progression status, age and sex) were used to measure their putative association with the enrichment of key cell populations and cellular structures to identify diagnosis and prognosis markers. Here, we identified a predominant presence of myeloid cells in the TME, particularly notable in optic pathway tumors, which exhibited unique immune profiles. Optic pathway tumors demonstrated elevated immune subsets, delineating distinct architectural features in the TME of this brain region. Spatial analysis defined cellular neighborhoods and specific interactions thereof, including myeloid interaction and macrophage-abundant regions. Clinically, these myeloid cell populations, associated with an increased expression of the immune checkpoint protein TIM3, suggesting the presence of an immuno-suppressive environment, were associated with inferior survival outcomes. Importantly, we identified an immunophenotype signature based on the presence of 4 myeloid cell populations significantly associated with progression free survival in our cohort. Our study underscored the need for accurate identification of immune cell populations influencing tumor progression, offering valuable insights for the identification of prognostic markers, and for the development of effective therapeutic strategies, such as immune checkpoint inhibitors, for the treatment of pLGG.

Principles and Sustainable Perspectives in the Preservation of Earthen Architecture from the Past Societies of the Iberian Peninsula

In recent years, special attention has been paid to the lessons in sustainability offered by traditional and vernacular architecture, especially with regards to the promotion of both material and technical production in earthen construction. However, these systems were already widely found in past societies, whose legacy in terms of construction is presented through the complex cultural framework of archaeological sites, which require highly variable work that lacks professional consensus, usually transcending the adaptive and sustainable nature originally observed. This dual nature aids the social operation of these scenarios and can prematurely hinder earthen construction’s life cycle and didactic quality, cementing its status as a necessary reflection for the identification and prevention of future problems. In terms of sustainability, the aim of this study is to analyze the spectrum of architectural interventions used for the preservation of earthen structures in archaeological sites in the Iberian Peninsula, in natural, social, and economic terms, while examining their capacity to adapt in the face of adverse phenomena. For this reason, following bibliographical review and fieldwork collection, a database was established combining a series of architectural characteristics and a history of interventions in 85 selected archaeological sites conserved in situ. Following reflection on these sites, maps were drawn up to show the geographical scope of these principles and offer a general overview of perspectives, highlighting the aspects deserving of varying levels of attention, as well as proposing strategies for sustainable preservation which will allow its transmission over time for the scientific and cultural enjoyment of coming generations.