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The storage fortresses (ighamouen) in the Gourara region in the south of Algeria represent significant examples of traditional architecture, offering valuable insights into a diminishing agricultural, social, and economic heritage. These fortresses were constructed between the tenth and late nineteenth centuries, and they were pivotal in safeguarding date harvests from nomadic tribes and served as fortified havens during the conflict. Their archaeological documentation commenced during the French colonial era, with some already displaying signs of deterioration. However, these structures were swiftly abandoned with Algeria’s independence and have deteriorated over the years. This paper presents a comprehensive conservation assessment of two prominent fortress types in the Gourara region, focusing on documentation, preservation, and architectural identification. The study employs cost-effective methods like photogrammetry and field surveys to document architectural features, shedding light on the various historical phases of these fortified granaries and their current state of preservation. [ABSTRACT FROM AUTHOR]

Neuromorphic hardware enables energy-efficient computing, which is essential for a sustainable system. Recently, significant progress has been reported in neuromorphic hardware based on two-dimensional materials. However, traditional planar-integrated architectures still suffer from high energy consumption. This review systematically explores recent advances in the three-dimensional integration of two-dimensional material-based neuromorphic hardware to address these challenges. The materials, process, device physics, array, and integration levels are discussed, highlighting challenges and perspectives. [ABSTRACT FROM AUTHOR]

Activation of ion‐implanted p‐type dopants in gallium nitride has demonstrated great progress utilizing high pressures to enable novel and traditional device architectures; however, such conditions consistently exhibit anomalously enhanced diffusion up to several microns in very short periods of time for device relevant concentrations. Here, this diffusion is shown to be modulated by unintentional hydrogen content within the anneal ambient and thus controllable by inclusion of a high‐temperature hydrogen getter. Furthermore, diffusion is also shown to be greatly suppressed using co‐implanted oxygen at low concentrations while simultaneously maintaining characteristics of p‐type material in photoluminescence. Subsequently, after annealing at 1300 °C for 30 min in 3.8 kbar of nitrogen pressure, the magnesium concentration in the diffusion tail is suppressed by 28% at 1–1.5 μm in depth using a hydrogen getter alone, which reduces hydrogen uptake by 45% and fully suppressed at >1 μm in depth using co‐implantation alone and further reduced with concurrent use of a hydrogen getter. Co‐implantation alone reduces the in‐diffused magnesium dose by 60% compared to reference samples. [ABSTRACT FROM AUTHOR]

Microservice architecture splits the traditional monolithic application into different small services. Differences in programming language and data structure make communication between each service difficult, and the communication performance between services directly affects the performance of the entire microservice architecture. Thus, communication performance improvement between services has become a challenge for microservice architectures. This study proposes a microservice service communication technique called remote procedure call multiple (RPCM), which uses different network communication models to achieve inter-service communication based on the domain in which the services are located. RPCM can be used to improve the communication performance between services. We conducted performance stress comparison experiments between RPCM and two other service communication technologies. We evaluated RPCM's performance by measuring the time spent processing requests and transaction performance stress metrics, such as transactions per second, using different threads and numbers of requests in both local and remote domains. The extensive experimental results showed that RPCM performs significantly better than the other techniques under local domain conditions. Furthermore, RPCM helps deploy different services based on the performance requirements to achieve the best microservice communication performance. [ABSTRACT FROM AUTHOR]

The renovation and revitalization of vernacular architecture are pivotal in sustainable rural development. In regions like Shangri-La, traditional structures not only safeguard cultural heritage but also provide a foundation for enhancing local communities' living conditions. However, these villages face growing challenges, including infrastructure decay, cultural erosion, and inadequate adaptation to modern living standards. Addressing these issues requires innovative research approaches that combine heritage preservation with the integration of contemporary functionality. This study employs a research-by-design approach, focusing on the Shanpian House as a case study, to explore how pre-planning and post-evaluation methods can revitalize traditional vernacular architecture. The pre-planning phase utilizes field surveys and archival research to assess spatial, cultural, and environmental conditions, framing a design strategy informed by field theory. In doing so, it evaluates how traditional architectural elements can be preserved while introducing modern construction techniques that meet current living standards. The post-evaluation phase, conducted through questionnaires and semi-structured interviews, assesses user satisfaction, focusing on the impact of architectural esthetics, structural stability, and material choices. Key findings from an OLS regression highlight the strong positive correlation between architectural style, structural choices, and cultural relevance with resident satisfaction. The research emphasizes that design elements such as structural details, materials, and infrastructure upgrades are critical in shaping perceptions of both functionality and cultural identity. Interestingly, the model reveals that improving architectural esthetics, alongside modern indoor features such as network connectivity, has a significant impact on enhancing overall resident satisfaction (significance level: 0.181). This study contributes to the broader discourse on sustainable building renovation by demonstrating how traditional architecture can be thoughtfully adapted for contemporary use and also proposes a paradigm shift in the renovation of historic buildings, advocating for a balance between preservation and modernization. The application of sustainable materials, digital modeling, and innovative construction techniques further ensures that these traditional structures meet the demands of modern civilization while maintaining their cultural integrity. [ABSTRACT FROM AUTHOR]

This study presents an innovative approach called CNN-GA for graphic design for folk houses and ancient buildings, which integrates Convolutional Neural Networks (CNN) with Genetic Algorithms (GA) to foster the creation of culturally rich and aesthetically appealing graphic designs in architecture. Our research focuses on capturing the essence of folk houses and ancient buildings, deeply rooted in cultural heritage, and reimagining them through a modern computational lens. The CNN component of our model is trained on a diverse array of architectural imagery, enabling it to effectively recognize and categorize key elements such as motifs, textures, and structural forms inherent to various architectural styles. This neural network acts as an intelligent extractor of cultural and aesthetic features, providing a nuanced understanding of traditional architectural elements. The extracted features are then input into a GA, which embarks on an evolutionary process of design generation. This process iteratively combines and refines the architectural elements, fostering a creative exploration of design possibilities that maintain cultural integrity while introducing innovative interpretations. The synergy of CNN and GA in our CNN-GA framework allows for an automated yet insightful design process, yielding graphic designs that are not only architecturally sound but also resonate with the rich cultural narratives of folk houses and ancient buildings. This research holds significant potential in revolutionizing architectural graphic design, offering a novel tool for architects and designers to merge traditional aesthetics with contemporary design paradigms. [ABSTRACT FROM AUTHOR]

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To address the problem of missed diagnosis in rib fracture detection from CT scans, this study introduces an enhanced model, called Faster-RCNN-SE-FA, which is built upon the traditional Faster-RCNN architecture. The proposed model integrates a novel filter anchor method and thoroughly considers the specific imaging characteristics of ribs in CT images. The preprocessing of the image is followed by applying the Squeeze-and-Excitation (SE) module, which enhances the discrimination of features in the channel dimension while preserving the location Sensitivity (Sen) important for target detection tasks. Consequently, this modification leads to a significant improvement in model performance. Empirical experiments, conducted on CT sequences of 130 rib feature cases provided by the First Affiliated Hospital of Ningbo University, demonstrate that the Faster-RCNN-SE-FA model achieves better Sen and accuracy compared to traditional methods, including the baseline Faster-RCNN. [ABSTRACT FROM AUTHOR]

The necessity to derive sustainable building solutions from the local vernacular architecture is being increasingly asserted in the global debate about the immense energy consumption, natural resources depletion, and high levels of Green House Emissions (GHG). Paradoxically, a limited number of research has addressed this issue in the arid hot regions and much less in the Arabian Peninsula. As a contribution to this debate, the present paper evaluates the sustainable features present in the Omani vernacular houses and their efficacy in terms of thermal comfort and energy performance. A Methodology that combines on-site measurements with modelling simulations, using DesignBuilder software, was applied to achieve the three objectives assigned to this study: (a) Characterization of Vernacular Architecture in Oman and its bioclimatic features, (b) Evaluation of the thermal and energy performance of a selected vernacular house. (c) A comparison of thermal and energy performance between a vernacular dwelling and a contemporary Omani house. The numerical simulation confirmed that the vernacular construction system provides enhanced thermal performance when compared to its modern counterpart. It has also been showed that the house with a vernacular construction system requires twice less cooling energy than its modern counterpart. [ABSTRACT FROM AUTHOR]

The aim of this research project is the investigation of the forgotten landscape of transhumance in mainland Greece, focusing on areas that have been abandoned by modern society and their historical significance. The goal is to make these lands functional again by preserving their cultural heritage and developing a sustainable community that meets the needs of people, livestock, and the environment. The investigation employs a dual approach: examining transhumance as a cultural and natural practice while analyzing vernacular architecture to preserve collective memory. This involves extensive historical research and a simultaneous analysis of spatial, social, symbolic, and architectural elements. This study identifies points of convergence between cultural practices and architectural heritage, applying these insights to contemporary redevelopment scenarios. Findings reveal a significant interplay between transhumance practices and the region's anonymous architecture. Key characteristics of the landscape and its spatial identity are documented, providing insights into effective preservation and redevelopment strategies. Specific case studies validate these strategies, demonstrating their relevance to current and future efforts. This study concludes that understanding the historical context and spatial identity of transhumance landscapes is crucial for sustainable redevelopment. By preserving cultural practices and architectural heritage, this project provides a framework for revitalizing these landscapes, ensuring a balanced coexistence of people, livestock, and the environment. [ABSTRACT FROM AUTHOR]

This study introduces an enhanced version of the discrete choice model combining embedded neural architecture to enhance predictive accuracy while preserving interpretability in choice modeling across temporal dimensions. Unlike the traditional architectures, which directly utilize raw data without intermediary transformations, this study introduces a modified approach incorporating temporal embeddings for improved predictive performance. Leveraging the Phones Accelerometer dataset, the model excels in predictive accuracy, discrimination capability and robustness, outperforming traditional benchmarks. With intricate parameter estimates capturing spatial orientations and user-specific patterns, the model offers enhanced interpretability. Additionally, the model exhibits remarkable computational efficiency, minimizing training time and memory usage while ensuring competitive inference speed. Domain-specific considerations affirm its predictive accuracy across different datasets. Overall, the subject model emerges as a transparent, comprehensible, and powerful tool for deciphering accelerometer data and predicting user activities in real-world applications. [ABSTRACT FROM AUTHOR]

In the era of big data, traditional computing architectures face limitations in handling vast amounts of data owing to the separate processing and memory units, thus causing bottlenecks and high‐energy consumption. Inspired by the human brain's information exchange mechanism, neuromorphic computing offers a promising solution. Resistive random access memory devices, particularly those with bilayer structures like Pt/TaOx/TiOx/TiN, show potential for neuromorphic computing owing to their simple design, low‐power consumption, and compatibility with existing technology. This study investigates the synaptic applications of Pt/TaOx/TiOx/TiN devices for neuromorphic computing. The unique coexistence of nonfilamentary and filamentary switching in the Pt/TaOx/TiOx/TiN device enables the realization of reservoir computing and the functions of artificial nociceptors and synapses. Additionally, the linkage between artificial nociceptors and synapses is examined based on injury‐enhanced spike‐time‐dependent plasticity paradigms. This study underscores the Pt/TaOx/TiOx/TiN device's potential in neuromorphic computing, providing a framework for simulating nociceptors, synapses, and learning principles. [ABSTRACT FROM AUTHOR]

Multimode spacecraft propulsion has the potential to greatly increase the maneuvering capability of spacecraft in comparison to traditional architectures. This technology combines two or more propulsive modes (e.g., chemical and electric) into a single system with a single propellant. Trajectory design techniques for spacecraft with this capability, however, are presently limited and typically require manual selection of the burn sequence. In this study, indirect optimal control formulations with automatic mode selection are developed and applied for the first time to multimode spacecraft with two modes of propulsion. Minimum-fuel transfers are solved using polar coordinates as well as using Modified Equinoctial Elements with perturbations. Propellant-constrained minimum-time problems are also solved for the first time using a penalty function approach. An interior-point constraint formulation is also provided. Sample transfers are developed for each coordinate choice and optimization objective and are compared to trajectories that use a single mode of propulsion. The results demonstrate viability of the proposed techniques and show that the multimode approach can reduce the time-of-flight in comparison to a low-thrust only trajectory while providing mass savings over high-thrust only solutions. • Indirect optimal control methods are used to solve multimode mission design problems. • Minimum-fuel and propellant-constrained minimum-time problems are solved. • The techniques extend immediately to hybrid propulsion. [ABSTRACT FROM AUTHOR]

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

India's 65% population resides in rural regions, making these places the heart and soul of the nation. These regions, along with their residents and houses, serve as a reflection of the nation. Previous researchers have described rural houses in social and humanities literature, but their observations have mostly been descriptive rather than analytical. Therefore, conducting a thorough analytical investigation is necessary to fully understand the mental image that people currently have of rural houses. This study aims to develop a theoretical framework for the typology of rural houses and identify the aspects that contribute to a thorough understanding of housing in rural India. The current state of rural houses must be examined as they are changing from traditional to modern architecture. The research study area was selected, Lakhan Village in the Indian state of Uttar Pradesh. In this village, fieldwork was carried out to determine the types and characteristics of long-established houses. A simple random sampling method was employed to collect the data, and the sample size was determined using the Cochrane formula. The authors' extensive professional first-hand experience in rural houses in Uttar Pradesh integrates with theoretical and analytical analysis in this research. The study sheds light on the development of rural houses in Lakhan Village and highlights several elements that have an impact on a house's overall imageability. It includes recommendations for future growth, gives an in-depth understanding of how rural housing has developed in India, and discusses the reasons that have influenced that development. The study's conclusion highlights the significance of utilizing a holistic strategy to address the challenges with rural housing. The findings of this study will be helpful to researchers, policymakers, and other officials involved in constructing rural houses. [ABSTRACT FROM AUTHOR]

The increasing complexity of modern mechanical systems, especially rotating machinery, demands effective condition monitoring techniques, particularly deep learning, to predict potential failures in a timely manner and enable preventative maintenance strategies. Health monitoring data analysis, a widely used approach, faces challenges due to data randomness and interpretation difficulties, highlighting the importance of robust data quality analysis for reliable monitoring. This paper presents a two-part approach to address these challenges. The first part focuses on comprehensive data preprocessing using only feature scaling and selection via random forest (RF) algorithm, streamlining the process by minimizing human intervention while managing data complexity. The second part introduces a Recurrent Expansion Network (RexNet) composed of multiple layers built on recursive expansion theories from multi-model deep learning. Unlike traditional Rex architectures, this unified framework allows fine tuning of RexNet hyperparameters, simplifying their application. By combining data quality analysis with RexNet, this methodology explores multi-model behaviors and deeper interactions between dependent (e.g., health and condition indicators) and independent variables (e.g., Remaining Useful Life (RUL)), offering richer insights than conventional methods. Both RF and RexNet undergo hyperparameter optimization using Bayesian methods under variability reduction (i.e., standard deviation) of residuals, allowing the algorithms to reach optimal solutions and enabling fair comparisons with state-of-the-art approaches. Applied to high-speed bearings using a large wind turbine dataset, this approach achieves a coefficient of determination of 0.9504, enhancing RUL prediction. This allows for more precise maintenance scheduling from imperfect predictions, reducing downtime and operational costs while improving system reliability under varying conditions. [ABSTRACT FROM AUTHOR]

Fusion navigation and positioning have evolved into crucial technologies and methodologies within navigation systems. Currently, the majority of combined positioning frameworks employ Kalman filtering algorithms for data fusion. To explore more efficient and high-precision fusion architectures and algorithms, we introduce a fusion navigation framework based on a fully-connected neural network (FCNN). Initially, we conducted an analysis of existing fusion positioning technology, data fusion algorithms, and the application of artificial intelligence algorithms in navigation positioning. Drawing insights from the federated Kalman filter (FKF) architecture, FCNN, and attention mechanism, we propose a fusion navigation framework centered on FCNN. Finally, fixed-point and trajectory determination experiments were carried out in both open and semi-shielded environments. The results demonstrate that, compared to the traditional FKF architecture, the FCNN fusion navigation framework, coupled with the attention mechanism fusion algorithm, effectively accommodates data, mitigates errors, and achieves superior positioning accuracy. [ABSTRACT FROM AUTHOR]

With the rapid growth of global urbanization and the rising demand for sustainable development, it is essential to study the performance and durability of building materials. As a traditional and widely employed building material, Chinese clay tiles play a significant role in traditional Chinese architecture. However, traditional methods for assessing structural surface damage necessitate the time-consuming and labor-intensive assessment and judgment of trained professionals. Consequently, it is crucial to employ machine learning techniques for automatic damage type identification. This study identifies the types of damage to Chinese clay tiles in Macau by employing machine learning techniques and the YOLOv4 object detection model. A total of 363 photographs of on-site Chinese clay tiles were used as training samples, and 200 epochs of the model training were performed. The primary findings of this study are as follows: (1) The machine learning method, based on the YOLOv4 model, provides an effective and precise solution for the automatic identification of Chinese clay tiles damage types, overcoming the human and time-cost constraints of conventional evaluation methods. (2) The detection accuracy of the detection model in this study is 95.42% for the detection of Chinese clay tiles cracks, 80.91% for the detection of stains, and 89.34% for the detection of surface wear, with an overall accuracy of 88.98%, which meets the basic detection requirements. (3) The experimental results demonstrate the viability and efficacy of the proposed method for identifying clay tile damage types and provide a method reference for the preservation and sustainable development of historical buildings. [ABSTRACT FROM AUTHOR]

Traditional grass-roofed dwellings are important components of Chinese vernacular architecture. Building a comprehensive nationwide database of traditional grass-roofed dwellings is crucial for the inherence of this cultural heritage and its traditional ecological technologies. This study proposes classifying traditional Chinese grass-roofed dwellings into three types according to recognizable appearance features. Based on the YOLOv8 deep learning framework, a recognition model is constructed to recognize and spatially locate various grass-roofed dwellings from the image dataset on a county-level. Further, by conducting spatial overlap analysis with a variety of natural and socio-environmental factors on ArcGIS, their influences on the distribution pattern of traditional grass-roofed dwellings were examined. The study findings are as follows: (1) Traditional grass-roofed dwellings are concentrated on the southeast side of the Hu Line with different distribution patterns according to their types. (2) The natural environment influences the original construction and distribution of traditional grass-roofed dwellings in terms of the growth of grass resources and the ecological adaptability of grass material. (3) The development of economy, population, and urbanization pose challenges to the retention of grass-roofed dwellings. This research provides useful references for the precise preservation of various grass-roofed dwellings and introduced a novel approach for the classification of traditional buildings. [ABSTRACT FROM AUTHOR]

In 1944, the architect Antonio Gómez Davó designed and built a new house for Mr. Ferrer at Rocafort in the suburbs of Valencia (Spain). In this same year, Europe, America, Russia and even Japan were still at war and Spain was recovering from its own intestine conflict. Therefore, architectural innovations and influences were scarce, as was the circulation of specialized journals on the matter. Still, many creations were occurring, like ceramic vaults and the brise-soleil; further, the architect Le Corbusier had stated his profound nostalgia for the Mediterranean, a sea that he had come to appreciate in his travels to the "East". In the case of Gómez Davó, having been born and raised in a prominent family of Valencia, he could not remain indifferent to the design features that appeared in the vernacular architecture of the area, especially the type of inclined louvers of Arabic descent, that covered bow-windows and balconies and which have come to be known in Spain as the Majorcan louvers; these are currently even employed by prominent architects like Rafael Moneo at the extension of the Painter Miro Foundation. However, with so many difficult circumstances surrounding him, Gómez Davó could not get to the point of producing a ground-breaking design based on solar assumptions for the whole façade of the house he was building; instead, when providing an entrance porch apt for living life in the pure Mediterranean tradition, he ventured to construct a surprising perforated wall oriented to the south in order to control radiation in the winter and provide shade in the summer while affording excellent light and superb conditions of ventilation. By means of self-devised simulation tools, we have analyzed the conditions of the house and especially of his innovative brise-soleil, which are at times reminiscent of Alvar Aalto's solutions for day-lit roofs, and which he intuitively adapted to the latitude of Valencia with the help of incipient notions of solar geometry. By outlining such unknown and bold precedent and assessing the house's proper climatic performance, we contribute to revitalizing the early and daring pioneers of solar architecture in peripheral Spain and Europe during the birth of critic regionalism, a fact often disregarded in the conventional history of Modern Architecture. [ABSTRACT FROM AUTHOR]

In the context of China's sustainable development and dual carbon goals, research on thermodynamic architecture theory and vernacular architecture increasingly aligns with international trends, developing distinct characteristics. This research addresses the challenge of rapid changes in the built environment by focusing on climate adaptability and passive technologies. However, the development of thermodynamic theory in vernacular architecture faced technical limitations in the early 21st century and was later overshadowed by the industry's reliance on active technologies to meet green building standards, resulting in a reduced role for architects in the green building field. This article traces the origins of passive architecture, rooted in vernacular architecture, and applies thermodynamic theory to explore architectural prototypes. It examines the theoretical feasibility of architectural design in achieving low-carbon and sustainable goals, aiming to fill a gap in thermodynamic theory within the broader context of sustainable architectural development. After demonstrating the various passive prototypes inherent in vernacular architecture, this paper proposes a courtyard prototype focused on residential comfort for design translation and analysis. The research methods employed include bioclimatic charting, balance point temperature analysis in time series, and extensive computer simulations. Through the process of prototype extraction, performance analysis, validation, and optimization, the paper systematically discusses sustainable design methods within the framework of thermodynamic architecture theory. It also provides practical demonstrations of these methods across four distinct climate regions in China. By translating vernacular architectural designs, this research systematically organizes the theoretical framework for architects' early involvement in low-carbon and green building design, offering a theoretical foundation for initiating the design process through prototype translation while guiding the generation of green ecological buildings. [ABSTRACT FROM AUTHOR]

This study explores the recent emergence of traditional Korean houses and hanoks as markers of cultural capital in Seoul, South Korea. While the ownership of detached houses itself can be a symbol of wealth in Seoul, traditional-style houses have become increasingly associated with luxurious living, particularly after the successful remodeling of hanoks in metropolitan settings such as Bukchon in Seoul. This study employs the critical luxury studies method to analyze the recent rise in hanok construction/remodeling among elites, and illustrates how traditional architectural forms have become status markers. Although the regeneration of traditional houses in cities has been examined from the perspective of gentrification or touristic cultural consumption, less academic attention has been placed on the phenomenon from the perspective of the homeowners' taste. This study examines how traditional architecture has become a form of acceptable luxury through a media analysis of published articles and interviews with the residents of hanoks. This study argues that protecting endangered traditions and rich sensory experiences function as important moralizing factors in luxury housing, indicating that sociocultural valuation becomes as significant as market valuation. [ABSTRACT FROM AUTHOR]

Caisson paintings are an integral part of the unique interior decoration ceiling of traditional Chinese architecture. There are a large number of Yuan Dynasty caisson paintings in the Puzhao Temple, in Hancheng, Shaanxi Province, China. These caisson paintings have exquisite patterns and rich colors, which are rare artistic treasures of the Yuan Dynasty. In the history of nearly 700 years, due to various environmental and human factors, the caisson paintings have experienced various degradation; for example, the paper of the caisson paintings is acidified, the surface is polluted, the color is faded, mottled, and it is difficult to identify. Therefore, their protection is vital. In order to ensure the scientific and targeted development of the protection scheme, this study conducted a comprehensive and in-depth analysis of the paper fibers, pigments, adhesives, wood supports, and pollutants of the caisson paintings and carried out a series of protection experiments in the field and laboratory, providing a step-by-step review of the protection treatment application for the caisson paintings. Mechanical and wet cleaning were used to remove the pollutants. The caisson painting was deacidified with a barium hydroxide ethanol solution, and the paper and pigments of the caisson painting were strengthened with water-based fluorine. Several conservation problems, such as the removal of pollutants, the deacidification of acidified paper, and the reinforcement of flaking paper and pigments, were solved. Meanwhile, good conservation and restoration results for caisson paintings were obtained. This research method of combining theory and practice has greatly improved the scientificity and success rate of conservation work. These research results provide valuable experience and reference for other caisson paintings in similar environments. [ABSTRACT FROM AUTHOR]

Purpose: Through a project of cooperation between the Ministry of Heritage and Tourism (MHT) and Sultan Qaboos University (SQU), a team including faculty members, technicians and students from the SQU department of civil and architectural engineering (CAE), was involved in the project of documentation, survey and the development of management plans of four (4) Omani Vernacular settlements (Harat). Such an experience was meant to initiate students from different levels in undergraduate programs of civil and architectural engineering to the fieldwork and professional practice in the field of built heritage studies. The present research aims to explore the effect of such an experience on the learning process and skills acquired by the involved students. Design/methodology/approach: The research was undertaken with students of CAE undergraduate programs at SQU. The documentation method has been implemented in 4 different settlements with the same students. A questionnaire has been administered to the participating students after their graduation to collect their feedback regarding the benefits of this experience on their education and skills development. The data was complemented by active observation and semi-directive interviews with some students randomly selected among the respondents to the questionnaire. Findings: The outcome of each documentation campaign as well as the results of the questionnaires administered revealed that this experience has raised students' awareness about the importance of studying the built heritage and safeguarding it. The research has shown that important soft skills, such as team-working, leadership and communication, have been consolidated. It has also revealed that this experience was an opportunity for students to discover the variety of options within the profession of architecture and its intellectual and ethical responsibilities. Such aspects are hardly grasped when taught within a "classical" teaching/learning setting. Research limitations/implications: The main limitations of this research were the hard working conditions during the summer in Oman and the direct interaction of the students with the buildings. Even cautious, such interaction represents a risk for an already fragile heritage. Practical implications: The paper includes a detailed description of the architectural documentation tools and methods used in the case studies. These tools and methods can easily be applicable, with slight adaptations, in other architectural documentation projects involving undergraduate students. The documentation methodology and the generated corpus of 3D digital models can be used in other documentation projects and further studies such as architectural typologies, bioclimatic properties, natural ventilation patterns, daylight performance, etc. Originality/value: This paper reports on the outcomes of the first experience of its kind in Oman and the Gulf region, where undergraduate students (predominantly females) were involved in an interdisciplinary project for the documentation of important vernacular settlements and their buildings. The added value of this research is that its methodology can be a reference for professors of Architecture and related specialties aiming to integrate research and field work with education. [ABSTRACT FROM AUTHOR]

This study aimed to find out the distribution, destructions, developments, transformations, and processes of changes of mosques after WWII in Herat Old City, which is a medieval city still preserved and standing. One hundred and eight mosques were constructed, 2 of them were demolished, and 106 still exist. Twenty-eight are modern mosques, and 80 are traditional. Twenty-two out of 80 are preserved, 56 have been transformed, and 2 were damaged, or demolished. Modern mosques are mainly located in the second and fourth quarters, while traditional mosques are distributed in all four quarters. The transformation started in the 1950s after WWII, continued in the 1970s, 1990s, and 2000s, and has occurred in all four quarters, slightly higher in the second and fourth quarters. Through a field survey, data were collected, findings were combined, unified, and plotted on the map, and the mosques were categorized based on building material. [ABSTRACT FROM AUTHOR]

This review article explores the trajectory of vernacular architectural documentation and preservation in China, including both notable successes and unfortunate failures. While the documentation and preservation of monuments of the past have a long-recorded history, the story of the 'discovery', documentation, and preservation of vernacular sites—individual structures as well as building complexes—is less known. This essay presents how 'outsiders'—mainly intrepid academics within China—travelled to out-of-the-way villages and towns after 1949 to find historic structures that were known to local residents but not to the broader world, even within China. Tragically, their findings were unpublished for decades. During politically charged periods, there was an orgy of calamitous destruction of countless vernacular buildings, an astonishing loss caused by the abandonment, renovation for alternative uses, and even razing of historic residences, temples, lineage halls, bridges, and walls in both rural and urban areas. Despite these enormous losses, many today marvel at the abundance of seemingly 'historic' structures that are still standing. This essay examines the roots of this apparent contradiction. Rural revitalisation has become a national issue for China in recent decades. In support of this initiative, an extraordinary amount of successful historic preservation work in villages has been accomplished. Today, unlike in the past, heritage protection focuses on broader village landscapes rather than on individual buildings. The challenges of preserving architectural sites are centred around issues of restoration versus recreation as well as redevelopment, that is, demolition followed by reconstruction. The commodification of heritage through the acceleration of tourism continues to have both positive and negative impacts. Judgements about authenticity often continue to be at odds with investors' need to recoup costs and ensure ongoing profits. [ABSTRACT FROM AUTHOR]

Researchers have proposed the dynamic heterogeneous redundancy (DHR) architecture, which integrates dynamic, heterogeneous, redundant, and closed-loop feedback elements into the system, to fortify the reliability of the railway passenger service system (RPSS). However, there are at least two weaknesses with the common DHR architectures: (1) they need system nodes with enough computing and storage resources; (2) they have hardly considered the reliability of DHR architecture. To this end, this paper proposes a double-layer DHR (DDHR) architecture to ensure the reliability of RPSS. This architecture introduces a set of algorithms, which are optimized co-computation and ruling weight optimization algorithms for the data processing flow of the DDHR architecture. This set improves the reliability of the DDHR architecture. For the evaluation of the reliability of DDHR architecture, this paper also proposes two metrics: (1) Dynamic available similarity metric. This metric does not rely on the overall similarity of the double-layer redundant executor sets but evaluates the similarity of their performance under the specified interaction paths within a single scheduling cycle. The smaller its similarity, the higher its reliability. (2) Scheduling cycle under dual-layer similarity threshold. This metric evaluates the reliability of the RPSS under actual conditions by setting the schedulable similarity thresholds between the same and different layers of the dual-layer redundant executives in the scheduling process. Finally, analog simulation experiments and prototype system building experiments are carried out, whose numerical experimental results show that the DDHR architecture outperforms the traditional DHR architecture in terms of reliability and performance under different redundancy and dynamically available similarity thresholds, while the algorithmic complexity and multi-tasking concurrency performance are slightly weaker than that of the DHR architecture, but can be applied to the main operations of the RPSS in general. [ABSTRACT FROM AUTHOR]

Vernacular architecture offers valuable technological and typological solutions rooted in knowledge systems that connect environmental, social, economic, and cultural contexts. This paper introduces the Heritage for People Platform, a collaborative digital tool developed under the VerSus+ project (Creative Europe Program), aimed at organising and disseminating vernacular architectural knowledge with a focus on sustainable practices that are both culturally and environmentally conscious. The platform builds upon lessons learned from similar projects, offering key improvements such as the adoption of a Case-Based Reasoning methodology, which organises examples by geographic location, materials, and intervention types. A structured classification system based on sustainability principles and strategies enables cross-disciplinary research and comparison. The design process was highly participatory, incorporating user feedback at every stage to ensure the platform is accessible to a wide range of users, including designers, scholars, craftspeople, and the general public. A cross-device, user-centered approach further broadens its accessibility. The platform provides a public, web-based geospatial repository where users can create, update, and explore a dynamic collection of artefacts, design models, people, and institutions from across the globe. This tool marks a significant advance in promoting and preserving both physical and intangible heritage, with strong educational and practical applications for sustainable architecture. The paper details the theoretical framework and real-world potential of the platform as a critical resource for promoting sustainability in the built environment. [ABSTRACT FROM AUTHOR]

The Sorrento Peninsula is characterized by a significant occurrence of examples of vernacular architecture, which exhibit distinctive morphological and constructive features. These have been the subject of numerous studies. However, some buildings have undergone a process of transformation over time, the details of which have yet to be investigated. Architectures that initially held a rural character were enlarged and ennobled, thereby becoming what could be termed as "villas of delights". However, these clearly manifest their origin based on the permanence of some vernacular features. This paper focuses on the analysis of a case study, Villa Murat, which is exemplary in illustrating this process. This thorough interdisciplinary research combines historical investigation, based mainly on archival documents, with a direct examination of the Villa. This has enabled the retracing of the building's evolution and of the events that occurred in it. An integrated survey, which employed photogrammetry and laser scanning, enabled the assessment of the current state of conservation. The ultimate objective of this research is to propose conservative interventions which, in conjunction with the suggested new intended use, could ensure the preservation of the Villa. [ABSTRACT FROM AUTHOR]

Often, artists of all time periods have unintentionally crystallized in their works the image of landscapes distant in time; of those landscapes, sometimes only faint traces remain, adding to the collection of so-called indirect sources. In many cases, a critical analysis carried out using the comparative method of those iconographic sources allows the inference of the relevant information regarding the layout of places, the structures housed there, and the practice of arts and crafts, or about customs and habits (e.g., dressing, eating, etc.); it is possible to recompose the so-called 'buried landscapes' by combining it with, and thanks to, the substantial contributions of other disciplines (such as history, archaeology, and anthropology). This contribution shows the first outcomes of research carried out within the Ghibertiana Project by CHMlab of DIDA (UNIFI), which aims to analyze the 'landscape characterised by cultivated areas' from the Florentine countryside in the early fifteenth century. In particular, it is maintained that Lorenzo Ghiberti (Pelago, 1378–Florence, 1455), just like other contemporary artists, depicted territories and architectures he had first experienced in some of the ten bronze panels of the Gates of Paradise of the Baptistery of Florence. He described in great detail the flora, fauna, and anthropic structures of the extra moenia territory. The focus of the early stage of analysis and this contribution is mainly on shelters: temporary structures functional to agricultural work. The encouraging results obtained may give rise to new research on other Florentine landscape elements artfully chiseled in Ghiberti's workshop. [ABSTRACT FROM AUTHOR]

The accurate detection of railway tracks is essential for ensuring the safe operation of railways. This study introduces an innovative algorithm that utilizes a graph convolutional network (GCN) and deep neural residual network to enhance feature extraction from high-resolution aerial imagery. The traditional encoder–decoder architecture is expanded with GCN, which improves neighborhood definitions and enables long-range information exchange in a single layer. As a result, complex track features and contextual information are captured more effectively. The deep neural residual network, which incorporates depthwise separable convolution and an inverted bottleneck design, improves the representation of long-distance positional information and addresses occlusion caused by train carriages. The scSE attention mechanism reduces noise and optimizes feature representation. The algorithm was trained and tested on custom and Massachusetts datasets, demonstrating an 89.79% recall rate. This is a 3.17% improvement over the original U-Net model, indicating excellent performance in railway track segmentation. These findings suggest that the proposed algorithm not only excels in railway track segmentation but also offers significant competitive advantages in performance. [ABSTRACT FROM AUTHOR]

Histopathology, vital in diagnosing medical conditions, especially in cancer research, relies on analyzing histopathology images (HIs). Nuclei segmentation, a key task, involves precisely identifying cell nuclei boundaries. Manual segmentation by pathologists is time‐consuming, prompting the need for robust automated methods. Challenges in segmentation arise from HI complexities, necessitating advanced techniques. Recent advancements in deep learning, particularly Convolutional Neural Networks (CNNs), have transformed nuclei segmentation. This study emphasizes feature extraction, introducing the ConvNext Mixer‐based Encoder‐Decoder (CNM‐ED) model. Unlike traditional CNN based models, the proposed CNM‐ED model enables the extraction of spatial and long context features to address the inherent complexities of histopathology images. This method leverages a multi‐path strategy using a traditional CNN architecture as well as different paths focused on obtaining customized long context features using the ConvNext Mixer block structure that combines ConvMixer and ConvNext blocks. The fusion of these diverse features in the final segmentation output enables improved accuracy and performance, surpassing existing state‐of‐the‐art segmentation models. Moreover, our multi‐level feature extraction strategy is more effective than models using self‐attention mechanisms such as SwinUnet and TransUnet, which have been frequently used in recent years. Experimental studies were conducted using five different datasets (TNBC, MoNuSeg, CoNSeP, CPM17, and CryoNuSeg) to analyze the performance of the proposed CNM‐ED model. Comparisons were made with various CNN based models in the literature using evaluation metrics such as accuracy, AJI, macro F1 score, macro intersection over union, macro precision, and macro recall. It was observed that the proposed CNM‐ED model achieved highly successful results across all metrics. Through comparisons with state‐art‐of models from the literature, the proposed CNM‐ED model stands out as a promising advancement in nuclei segmentation, addressing the intricacies of histopathological images. The model demonstrates enhanced diagnostic capabilities and holds the potential for significant progress in medical research. [ABSTRACT FROM AUTHOR]

This article explores the role of Cistercian women's communities in preserving and safeguarding twelfth-century liturgical manuscripts. It focuses on specific manuscripts, a breviary and a gradual, which were considered outdated but valued and preserved by Cistercian nuns' houses for centuries. The article discusses the liturgical reforms within the Cistercian Order in the twelfth century, led by Stephen Harding and Bernard of Clairvaux, and the significance of these manuscripts in understanding early traditions and connections between male and female Cistercian houses. It also highlights the interactions between Cistercian monks' abbeys and communities of nuns in the thirteenth century, with the nuns' communities actively using and caring for the manuscripts. [Extracted from the article]

In view of the complexity and diversity of hyperspectral images (HSIs), the classification task has been a major challenge in the field of remote sensing image processing. Hyperspectral classification (HSIC) methods based on neural architecture search (NAS) is a current attractive frontier that not only automatically searches for neural network architectures best suited to the characteristics of HSI data, but also avoids the possible limitations of manual design of neural networks when dealing with new classification tasks. However, the existing NAS-based HSIC methods have the following limitations: (1) the search space lacks efficient convolution operators that can fully extract discriminative spatial–spectral features, and (2) NAS based on traditional differentiable architecture search (DARTS) has performance collapse caused by unfair competition. To overcome these limitations, we proposed a neural architecture search method with receptive field spatial–spectral attention (RFSS-NAS), which is specifically designed to automatically search the optimal architecture for HSIC. Considering the core needs of the model in extracting more discriminative spatial–spectral features, we designed a novel and efficient attention search space. The core component of this innovative space is the receptive field spatial–spectral attention convolution operator, which is capable of precisely focusing on the critical information in the image, thus greatly enhancing the quality of feature extraction. Meanwhile, for the purpose of solving the unfair competition issue in the traditional differentiable architecture search (DARTS) strategy, we skillfully introduce the Noisy-DARTS strategy. The strategy ensures the fairness and efficiency of the search process and effectively avoids the risk of performance crash. In addition, to further improve the robustness of the model and ability to recognize difficult-to-classify samples, we proposed a fusion loss function by combining the advantages of the label smoothing loss and the polynomial expansion perspective loss function, which not only smooths the label distribution and reduces the risk of overfitting, but also effectively handles those difficult-to-classify samples, thus improving the overall classification accuracy. Experiments on three public datasets fully validate the superior performance of RFSS-NAS. [ABSTRACT FROM AUTHOR]

Introduction Abyaneh village is located in Isfahan province, near the city of Kashan. Its background goes back to the pre-Islamic period. The people of Abyaneh are farmers, gardeners, and cattle ranchers. They are Muslims, and as such, they have constructed a mosque in every neighborhood alongside the Herpak Fire Temple. Parzaleh mosque is located in the Pal local and on the edge of the historic passage of Rashta. The central structure originates from the Ilkhanid era, featuring enhancements from the Safavid and Qajar periods. It is a two-story building. A man named Arshad constructed the Parzaleh Mosque with the assistance of locals and donated a house and several farmlands to it. They repaired and developed the mosque during the Safavid and Qajar periods by planting and selling crops such as wheat and barley. This plan has been able to protect this mosque economically for centuries. As the population grew over time, the people of the neighborhood paid attention to the physical development of the mosque. The Parzaleh mosque has been used by the people of the village and the Pal neighborhood for several centuries. However, due to the migration of the local people to the surrounding cities, the mosque is now closed and only is opened on special national and religious days such as Muharram. The locals of Pal visit Abyaneh and its mosque in the month of Muharram to perform the Nakhlgardani ritual. Materials and Methods The moot point of the research is the lack of sufficient information about indigenous knowledge related to the construction and conservation of Parzaleh mosque. There is no suitable architectural plan for this mosque, and the process of its construction and architectural details have not been studied. The leading goal of this study is to identify and introduce the construction and maintenance traditions of the Parzaleh Mosque. Two critical inquiries have been raised concerning historical periods, mosque construction, and conservation methods. To this end, the interpretive paradigm and interpretive-historical strategy have been used, along with field surveys, document research, and interviews to gather information. These studies were conducted during the restoration of the Parzaleh mosque by residents. They removed the ceilings and floors, providing an excellent opportunity for mapping, photography, and field surveys. Additionally, the locals renovating the mosque offered valuable information. It took three months to restore the Parzaleh mosque by the natives of the Pal neighborhood, and by this time, field surveys by the author revealed some of the hidden information in the mosque. The data were matched with similar samples and structures in terms of structures, materials, and components and were analyzed using the mentioned tools with an interpretive paradigm and a interpretive-historical strategy. Conclusion The research results indicate that local architects built the Parzaleh mosque with three naves and a porch during the 6th century A.H. The mosque's main structure dates back to the Ilkhanid period, with additions from the Safavid, the Qajar, and the Pahlavi periods. The primary materials, used in the mosque construction, are stone, wood, and soil along with secondary materials such as subclans, clay, plaster, and brick. The mosque has a traditional structure with native architects using stone walls and wood. It is built on a rocky bed called Zayeh. In the structural system of Perzleh Mosque, compressive stresses are transmitted by load-bearing walls and wooden columns. The thickness of load-bearing walls in the lower and upper floors varies according to the construction period. The thickness of the walls could withstand compressive stress and provide thermal capacity. In addition, the local architects needed to control the tensile and lateral forces and stresses and air exchange and heat supply. Therefore, they used materials with proper tensile strength and thermal capacity. They also considered adequate access to materials. They have grown aspen and plane tree over the centuries and used them to seek this purpose. They have used local knowledge of architecture to build and develop the mosque. Masters were provided from Kashan, near Abyaneh, to train local masters with active community participation. In selecting the mosque location, the people of Abyaneh made the agricultural economy their top priority. They used a rocky bed instead of fertile land to save agricultural resources. This traditional construction method has been utilized in most Abyaneh buildings, becoming indigenous knowledge over centuries and passed down through generations. [ABSTRACT FROM AUTHOR]

In edge computing, repetitive computations are a common occurrence. However, the traditional TCP/IP architecture used in edge computing fails to identify these repetitions, resulting in redundant computations being recomputed by edge resources. To address this issue and enhance the efficiency of edge computing, Information-Centric Networking (ICN)-based edge computing is employed. The ICN architecture leverages its forwarding and naming convention features to recognize repetitive computations and direct them to the appropriate edge resources, thereby promoting "computation reuse". This approach significantly improves the overall effectiveness of edge computing. In the realm of edge computing, dynamically generated computations often experience prolonged response times. To establish and track connections between input requests and the edge, naming conventions become crucial. By incorporating unique IDs within these naming conventions, each computing request with identical input data is treated as distinct, rendering ICN's aggregation feature unusable. In this study, we propose a novel approach that modifies the Content Store (CS) table, treating computing requests with the same input data and unique IDs, resulting in identical outcomes, as equivalent. The benefits of this approach include reducing distance and completion time, and increasing hit ratio, as duplicate computations are no longer routed to edge resources or utilized cache. Through simulations, we demonstrate that our method significantly enhances cache reuse compared to the default method with no reuse, achieving an average improvement of over 57%. Furthermore, the speed up ratio of enhancement amounts to 15%. Notably, our method surpasses previous approaches by exhibiting the lowest average completion time, particularly when dealing with lower request frequencies. These findings highlight the efficacy and potential of our proposed method in optimizing edge computing performance. [ABSTRACT FROM AUTHOR]

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Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes in the Architecture, Engineering, Construction and Operations sector. This study is concerned with the development of a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, and the Internet of Things to implement space management strategies. It proposes an application case for the Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim is to create an accurate digital replica of the building based on BIM, integrated with real-time data. This will help to improve the use of space, the management of resources, and the quality of services provided to the community. It also improves energy efficiency, reducing consumption by 530.40 MWh per year and reducing greenhouse gas emissions by 641.32 tons of CO2 per year. The research proposes a holistic framework for the implementation of innovative solutions in the context of public infrastructure space management through the use of digital technology, facilitating the promotion of efficiency and sustainability in decision-making and operational processes through the application of a digital methodology. [ABSTRACT FROM AUTHOR]

Copyright of Forschungsjournal Soziale Bewegungen is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)