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Current manufacturing environments have to face a competitive and evolving framework characterised by high-mix and low-volume demands. To properly deal with new requests coming from the market, Reconfigurable Assembly Systems (RASs) have to be designed. In this paper, we propose a methodology for the design of the architecture of a RAS, featuring both human and mobile robotic agents, and dealing with multi-product assembly of medium-light-weight products, originally assembled manually. In particular, a systematic methodology is proposed to define the number of workstations, specifying which set of operations must be performed in each one, and to design the system layout guaranteeing reconfigurability. To this end, the concepts of operation, datasheet of an operation, assembly tree, and macro-operation are introduced and formalised. Guidelines to automatise the required operations in a flexible way are also proposed. The method is applied to a use case where we define the proper number of workstations of a RAS to assemble several types of motorbike brakes, showing the reconfigurability of the system. [ABSTRACT FROM AUTHOR]

Quantum-dot Cellular Automata (QCA) has become one of the promising studies for nano-scale computing. QCA is one of the candidate technologies to be replaced with CMOS technology. QCA technology not only reduces power consumption and delay but also increases operating frequency and speed. The arithmetic logic unit is the essential component in a processor that performs arithmetic and logical operations. This paper presents a novel 5 × 5 reversible logic gate called the NRRG (Norouzi_Rasouli Reversible Gate) which can be used as the basic building block of 4:1 and 8:1 reversible multiplexers. Then, we have designed a RALU (reversible arithmetic and logic unit) using this gate. Our design can perform 20 operations such as AND, NAND, OR, XOR, XNOR, COPY, addition, and increment. The proposed QCA RALU requires 0.44 μm2 area, 480 QCA cells, and 10 clock phases. The proposed design needs less cell count, delay, and cost of QCA compared to previous works. The structure is implemented without any rotated cells and only uses one layer which improves the manufacturability of the design. The architectures are designed and simulated using QCA Designer 2.0.3. [ABSTRACT FROM AUTHOR]

This paper presents BubbleID, a sophisticated deep learning architecture designed to comprehensively identify both static and dynamic attributes of bubbles within sequences of boiling images. By amalgamating segmentation powered by Mask R-CNN with SORT-based tracking techniques, the framework is capable of analyzing each bubble's location, dimensions, interface shape, and velocity over its lifetime and capturing dynamic events such as bubble departure. BubbleID is trained and tested on boiling images across diverse heater surfaces and operational settings. This paper also offers a comparative analysis of bubble interface dynamics prior to and post-critical heat flux conditions. [ABSTRACT FROM AUTHOR]

There is a growing desire for inter-package modularity within the chemistry software community to reuse encapsulated code units across a variety of software packages. Most comprehensive efforts at achieving inter-package modularity will quickly run afoul of a very practical problem, being able to cohesively build the modules. Writing and maintaining build systems has long been an issue for many scientific software packages that rely on compiled languages such as C/C++. The push for inter-package modularity compounds this issue by additionally requiring binary artifacts from disparate developers to interoperate at a binary level. Thankfully, the de facto build tool for C/C++, CMake, is more than capable of supporting the myriad of edge cases that complicate writing robust build systems. Unfortunately, writing and maintaining a robust CMake build system can be a laborious endeavor because CMake provides few abstractions to aid the developer. The need to significantly simplify the process of writing robust CMake-based build systems, especially in inter-package builds, motivated us to write CMaize. In addition to describing the architecture and design of CMaize, the article also demonstrates how CMaize is used in production-level software. [ABSTRACT FROM AUTHOR]

Assistance systems have been widely adopted in the manufacturing sector to facilitate various processes and tasks in production environments. However, existing systems are mostly equipped with rigid functional logic and do not provide individual user experiences or adapt to their capabilities. This work integrates human factors in assistance systems by adjusting the hardware and instruction presented to the workers' cognitive and physical demands. A modular system architecture is designed accordingly, which allows a flexible component exchange according to the user and the work task. Gamification, the use of game elements in non-gaming contexts, has been further adopted in this work to provide level-based instructions and personalised feedback. The developed framework is validated by applying it to a manual workstation for industrial assembly routines. [ABSTRACT FROM AUTHOR]

Climate-responsive building design holds immense potential for enhancing comfort, energy efficiency, and environmental sustainability. However, many social, cultural, and economic obstacles might prevent the wide adoption of designing climate-adapted buildings. One of these obstacles can be removed by enabling practitioners to easily access, visualize and analyze local climate data. The CBE Clima Tool (Clima) is a free and open-source web application that offers easy access to publicly available weather files and has been created for building energy simulation and design. It provides a series of interactive visualizations of the variables contained in the EnergyPlus Weather Files and several derived ones like the UTCI or the adaptive comfort indices. It is aimed at students, educators, and practitioners in the architecture and engineering fields. Since its inception, Clima’s user base has exhibited robust growth, attracting over 25,000 unique users annually from across 70 countries. Our tool is poised to revolutionize climate-adaptive building design, transcending geographical boundaries and fostering innovation in the architecture and engineering fields.

The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems. Despite the increasing demand for drone flying automation, there is a significant absence of a comprehensive drone network service architecture tailored for secure and efficient operations of drones. This research paper addresses this gap by proposing a safe, reliable, and real-time drone network service architecture, emphasizing collaboration with fog computing. The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. The proposed algorithm dynamically plans drone trajectories and optimizes computation offloading. Results from simulations demonstrate the effectiveness of the proposed architecture, showcasing reduced average response latency and improved throughput, particularly when accessing resources from fog nodes. Furthermore, the model evaluates blockchain consensus algorithms (PoW, PoS, DAG) and recommends DAG for superior performance in handling IoT data. Fog; Drones; Blockchain; PSO; IoT; Vehicular. [ABSTRACT FROM AUTHOR]

The use of multi-core chiplet systems is a promising technology for efficiently running large-scale hybrid applications, offering significant cost and performance advantages over the traditional 2D integrated circuits. However, incorrect task mapping and architecture design can lead to high power consumption and degraded performance. Current solutions mainly address these problems for 2D monolithic chips, which cannot be directly applied to 2.5D chiplet systems. To this end, this paper proposes a Multi-Application Hybrid Reconfigurable (MAHR) mechanism for task mapping and interconnection network construction, aiming to reduce energy consumption while optimizing communication latency. MAHR consists of three steps. In the first step, a Modified Adaptive Large Neighborhood Search (MALNS) algorithm is designed to solve the Chiplet Hybrid Applications Mapping Problem (CHAMP), allocating computational resources to application tasks; in the second step, the interconnection network is rebuilt using the results from the first step. This is accomplished through a novel reconfigurable interposer router that allows packets to bypass intermediate nodes; and in the third step, the results obtained in the second step are post-processed by checking all interposer nodes, restoring the router configurations of the nodes that have conflict links, and power-gating the unused routers. Compared to existing methods, simulation results demonstrate that MAHR reduces system power consumption and improves performance with little overhead in both synthetic and real-world scenarios. On average, MAHR achieves a 6.11% improvement in performance and an 11.3% reduction in power consumption, while increasing its area overhead by only 5.88%. [ABSTRACT FROM AUTHOR]

The compatibility of contemporary architecture with historic urban contexts presents a complex and often contentious challenge for many cities, which have traditionally focused on physical design elements. This study emphasizes the critical role of procedural frameworks in shaping harmonious historic urban landscapes. Through case studies from Seoul and Gimpo in South Korea, Tomioka in Japan, and Graz in Austria, this study highlights the importance of processes such as design reviews, stakeholder engagement, and public education in urban heritage management. These processes—encompassing regulatory frameworks and the active involvement of communities and heritage experts—are found to be crucial as physical design elements in determining the success of integrating new developments into historical environments. Moreover, they must be adaptive to and capable of addressing the dynamic nature of urban environments while safeguarding cultural heritage values. This study reveals that procedural approaches, when properly implemented, enable the successful integration of contemporary architecture within historic contexts, fostering sustainable urban conservation. This study contributes to the evolving discourse on urban heritage management by broadening the concept of compatibility beyond mere design considerations to include the essential role of processes in shaping historical urban environments. [ABSTRACT FROM AUTHOR]

This study investigates the impact of spatial changes over a 400-year period on the summer microclimate of a residential courtyard in China. Using ENVI-met simulations, we analyze how factors such as courtyard orientation, building height, and opening positions affect the thermal environment. The results show that east–west-oriented courtyards experienced 0.2–0.4 °C lower daytime temperatures compared to north–south ones. Additionally, taller surrounding buildings increased the courtyard's average daytime temperature by approximately 0.3–0.5 °C, while courtyards with a single opening facing the prevailing wind maintained the lowest temperatures. These findings underscore the importance of historical spatial characteristics in shaping microclimates and offer key insights for contemporary urban planning. By incorporating design strategies based on these historical spatial features, such as optimizing courtyard orientation, enhancing building height variability, and creating appropriate openings for natural ventilation, urban planners can improve microclimate conditions, reduce reliance on mechanical cooling, and enhance energy efficiency. This approach not only contributes to lowering carbon emissions but also boosts resilience to extreme heat events in urban areas, especially in regions facing rapid urbanization and climate change challenges. [ABSTRACT FROM AUTHOR]

Performance parameters and generative design applications have redefined the human–machine collaborative relationship, challenging traditional architectural design paradigms and guiding the architectural design process toward a performance-based design transformation. This study proposes a multi-objective optimization (MOO) design approach based on performance simulation, utilizing the Grasshopper-EvoMass multi-objective optimization platform. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to coordinate two performance metrics—outdoor thermal comfort and building energy loads—for the multi-objective optimization of architectural design. The results indicate that (1) a performance-based multi-objective optimization design workflow is established. Compared to the baseline design, the optimized building form shows a significant improvement in performance. The Pareto optimal solutions, under 2022 meteorological conditions, demonstrate an annual energy efficiency improvement of 16.55%, and the outdoor thermal neutrality ratio increases by 1.11%. These results suggest that the optimization approach effectively balances building energy loads and outdoor thermal comfort. (2) A total of 1500 building form solutions were generated, from which 16 optimal solutions were selected through the Pareto front method. The resulting Pareto optimal building layouts provide multiple feasible form configurations for the early-stage design phase. [ABSTRACT FROM AUTHOR]

This study presents a high-level simulator for Network-on-Chip (NoC), designed for many-core architectures, and integrated with the PlatEMO platform. The motivation for developing this tool arose from the need to evaluate the behavior of application mapping algorithms and the routing, both aspects are essential in the implementation and design of NoC architectures. This analysis underscored the importance of having effective NoC simulators as tools that allow for studying and comparing various network technologies while ensuring a controlled simulation environment. During this investigation and evaluation, some simulators, such as Noxim, NoCTweak, and NoCmap, among others, offered configurable parameters for application traffic, options to synthetically define topology and packet traffic patterns. Additionally, they include mapping options that optimize latency and energy consumption, routing algorithms, technological settings such as the CMOS process, and measurement options for evaluating performance metrics such as throughput and power usage. However, while these simulators meet detailed technical demands, they are mostly restricted to analyzing the low-level elements of the architecture, thus hindering quick and easy under- standing for non-specialists. This insight underscored the challenge in developing a tool that balances detailed analysis with a comprehensive learning perspective, considering the specific restrictions of each simulator analyzed. Experiments demonstrated the proposed simulator efficacy in handling algorithms like GA, PSO, and SA variant, and, surprisingly, revealed limitations of the XY algorithm in Mesh topologies, indicating the need for further investigation to confirm these findings. Future work will expand the simulator functionalities, incorporating a broader range of algorithms and performance metrics, to establish it as an indispensable tool for research and development in NoCs. [ABSTRACT FROM AUTHOR]

We present a modified ground-and-solve approach based on the clingo Answer Set Programming (ASP) system to perform non-monotonic spatial reasoning tasks, Clingo2DSR. Our system is distinct from previous research integrating ASP with space in that it deals with complex real-world data and numerous time steps. Clingo2DSR is composed of (i) an input language defining spatial entities, functions, and relations; (ii) an external geometry database for performing spatial computations and checking spatial constraints; and (iii) a theory-based solving approach coupling symbolic ASP with external sources for sound and fast model search. We demonstrate our system on three real building models, in the context of architectural design, submitted for analyses and queries where spatial components play an important role. [ABSTRACT FROM AUTHOR]

The purpose of NAS is to automatically optimize and generate high-performance network architectures for specific tasks, in order to reduce the dependence of architecture design on expert experience and human resource consumption in the architecture design process. It mainly includes three components: search space, search strategy, and evaluation strategy. Early NAS requires multiple GPUs to complete searches in multiple days, and the high search time and computational cost are the core issues of NAS. To help researchers quickly and comprehensively understand the field of NAS, this paper provided a new perspective to sort out existing NAS work. Firstly, this paper analyzed the early work of NAS and elucidated the core issues and their origins. Secondly, focusing on the three categories of methods to address the core issues of NAS: reducing the search space of architectures, decreasing the time for evaluating candidate architectures, and reducing the time for evaluating architectures, this paper conducted a targeted analysis, comparison, and summary of algorithms in this field. Finally, it summarized the main research directions in this field for future work. [ABSTRACT FROM AUTHOR]

The widespread broadcast of fake health news offers a huge challenge that puts the health and well-being of the general population in peril. This is especially true in a time when there is an excess of information available. In order to develop automated systems that are capable of spotting fraudulent health-related information, researchers have applied artificial intelligence methodologies such as machine learning (ML) and deep learning (DL). These approaches have been utilized in order to construct these systems. In order to address the problem that is now being faced, this is being done. The objective of this research is to give an analysis of the method, performance measurements, and problems that are linked with machine learning (ML) and deep learning (DL) systems for the purpose of recognizing fake health news. This analysis is presented in the course of this research. We study the many ways that are applied in the process of feature engineering, that of model architectural design, and that of evaluation metrics throughout the machine learning (ML) and deep learning (DL) paradigms. These approaches are utilized in the process of feature engineering. Additionally, we evaluate the significance of our findings for the development of the efficiency of systems that are meant to identify false health news and offer prospective areas for additional research in this vitally important sector. Lastly, we conclude that our findings have the potential to improve the effectiveness of these systems. [ABSTRACT FROM AUTHOR]

Purpose: Super-tall towers have surfaced as a pragmatic remedy to meet the escalating requisites for both residential and commercial areas and to stimulate economic growth in the Middle East. In this unique regional context, optimizing spatial usage stands as a paramount consideration in the architectural design of skyscrapers. Despite the proliferation of super-tall towers, there exists a conspicuous dearth of comprehensive research pertaining to space efficiency in Middle Eastern skyscrapers. This study endeavors to bridge this substantial gap in the literature. Design/methodology/approach: The research methodology utilized in this paper adopts a case study approach to accumulate data regarding super-tall towers in the Middle East, with a specific focus on investigating space efficiency. A total of 27 super-tall tower cases from the Middle East were encompassed within the analytical framework. Findings: Key findings can be succinctly summarized as follows: (1) average space efficiency was 75.5%, with values fluctuating between a minimum of 63% and a maximum of 84%; (2) average ratio of the core area to the gross floor area (GFA) registered 21.3%, encompassing a spectrum ranging from 11% to 36%; (3) predominantly, Middle Eastern skyscrapers exhibited a prismatic architectural form coupled with a central core typology. This architectural configuration mostly catered to residential and mixed-use functions; (4) the combination of concrete and outrigger frame systems was the most frequently utilized; (5) as the height of the tower increased, space efficiency tended to experience a gradual decline and (6) no significant discernible disparities were detected in the impact of diverse load-bearing systems and architectural forms on space efficiency. Originality/value: Despite the proliferation of super-tall towers, there exists a conspicuous dearth of comprehensive research pertaining to space efficiency in Middle Eastern skyscrapers. This study endeavors to bridge this substantial gap in the literature. [ABSTRACT FROM AUTHOR]

Copyright of Railway Construction Technology is the property of Railway Construction Technology 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.)

In modern ICs, sub-threshold voltage management plays a significant role due to its perspective on energy efficiency and speed performance. Level shifters (LSs) play a critical role in signal exchange among multiple voltage domains by ensuring signal integrity and the reliable operation of ICs. In this article, a Pass-Transistor-Enabled Split Input Voltage Level Shifter (PVLS) is designed for area, delay, and power-efficient applications with a wide voltage conversion range. The represented low-power LS structure is a general blend of both pull-up and pull-down networks that perform level-up or level-down shifts. The proposed PVLS is incorporated with the multi-threshold CMOS technique and a load-balancing driving split inverter to limit high static current, leakage power, and performance degradation. The schematic structure could be able to convert voltages from low to high as well as high to low. The architecture design has the lowest silicon area. The implementation of the proposed design was taken under 55 nm CMOS technology. The represented LS could be able to convert voltage ranges between 0.3 V and 1.3 V, which has a dynamic power of 2.00 nW. The overall propagation delay of the LS is 90 ps and an area of 7.66 µm2 for an input frequency of 1 MHz. [ABSTRACT FROM AUTHOR]

Electronic health records (EHRs) are widely used in healthcare institutions worldwide, containing vast amounts of unstructured textual data. However, the sensitive nature of Protected Health Information (PHI) embedded within these records presents significant privacy challenges, necessitating robust de-identification techniques. This paper introduces a novel approach, leveraging a Bi-LSTM-CRF model to achieve accurate and reliable PHI de-identification, using the i2b2 dataset sourced from Harvard University. Unlike prior studies that often unify Bi-LSTM and CRF layers, our approach focuses on the individual design, optimization, and hyperparameter tuning of both the Bi-LSTM and CRF components, allowing for precise model performance improvements. This rigorous approach to architectural design and hyperparameter tuning, often underexplored in the existing literature, significantly enhances the model's capacity for accurate PHI tag detection while preserving the essential clinical context. Comprehensive evaluations are conducted across 23 PHI categories, as defined by HIPAA, ensuring thorough security across critical domains. The optimized model achieves exceptional performance metrics, with a precision of 99%, recall of 98%, and F1-score of 98%, underscoring its effectiveness in balancing recall and precision. By enabling the de-identification of medical records, this research strengthens patient confidentiality, promotes compliance with privacy regulations, and facilitates safe data sharing for research and analysis. [ABSTRACT FROM AUTHOR]

Copyright of South Architecture / Nanfang Jianzhu is the property of South 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.)

Purpose: Emerging market multinationals often face a variety of legitimacy challenges as they engage in cross-border acquisitions in developed countries, which requires an assortment of legitimacy strategies best aligned with the legitimacy challenges they face. This study advocates for a configurational perspective that examines how different configurations of legitimacy challenges, organizational characteristics, and legitimacy strategies influence the likelihood of deal completion in cross-border acquisitions by emerging market multinational enterprises (EMNEs). Design/methodology/approach: Based on 328 cross-border acquisition cases by Chinese firms, this study adopts the fuzzy-set qualitative comparative analysis to examine the combined effects of institutional distance, political affinity, equity sought, architecture design, sensitive·industry and state-owned and enterprise (SOE) on cross-border acquisition completion. Findings: This study identifies six pathways with different configurations for deal completion, suggesting that a deal's overall legitimacy falls at the intersection of the country-level institution and the firm-level characters and strategy evaluations. Originality/value: This study investigates how nested legitimacy influences cross-border acquisition completion by offering a holistic and configurational understanding of the deal completion of cross-border acquisitions by EMNEs and yields useful insights for future research on cross-border acquisition completion and legitimacy. [ABSTRACT FROM AUTHOR]

Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. Current deep learning models often rely on autoregressive generation, which suffers from error accumulation and slow inference speeds. In this work, we introduce π-PrimeNovo, a non-autoregressive Transformer-based model for peptide sequencing. With our architecture design and a CUDA-enhanced decoding module for precise mass control, π-PrimeNovo achieves significantly higher accuracy and up to 89x faster inference than state-of-the-art methods, making it ideal for large-scale applications like metaproteomics. Additionally, it excels in phosphopeptide mining and detecting low-abundance post-translational modifications (PTMs), marking a substantial advance in peptide sequencing with broad potential in biological research. Peptide sequencing is critical to the advancement of proteomics research. Here, the authors present π-PrimeNovo, a non-autoregressive deep learning model that achieves high accuracy and up to 89x faster sequencing. This enables large-scale sequencing and multiple downstream applications. [ABSTRACT FROM AUTHOR]

Purpose: Individuals show different environmental preferences, often influenced by their personality types. However, instances arise where the alignment of an individual's personality and the architectural environment disappears, resulting in a mismatch. Consequently, the purpose of this study considers the urgent need to acknowledge and understand the complex interplay between architecture and individual personality traits. Design/methodology/approach: The research method is based on the correlation between the variables, which is calculated by the significant assessment of the sample population and with SmartPLS. Finally, the findings and results of the research in relation to personality components and architectural aspects indicate the existence of a relationship. In the end, this study establishes correlations among variables and conclusions are drawn through systematic logical deductions. Findings: The research findings underscore a compelling relationship between distinct personality components and various architectural facets. Furthermore, psychological cohesiveness within distinct social cohorts emerges as a pivotal factor influencing the relationship between individuals and architecture. In this regard, the main aspects of environmental preferences (surprise, cryptic, etc.) and personality types (neuroticism, extroversion, etc.) based on their significance and the factors affecting it in sub-components, create direct or indirect relationships. Additionally, the determination of the relationships created in each of these components is specified based on Image 12, and the path of creating architectural patterns can be considered according to that. Originality/value: The results of the research show that the correlation between personality and physical components in different social groups is an effective issue in the relationship between human and the environment. It can also be considered as a factor for improving the quality of architectural design and creating a favorable cultural atmosphere in the environment. This issue has caused a connection between architecture and human personality, which creates the ground for improving the relationship between them. Also, architecture is placed by adapting to the personality and psychological needs of people and has an effective role in the quality of their relationships in organizing and expanding the environment. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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.)

Vernacular architecture, optimized over centuries to create comfortable thermal environments using sustainable design strategies and local materials, can offer valuable insights for contemporary eco-friendly architectural design. This research investigates the sustainable design strategies of vernacular architecture in southwest Hubei, focusing on the First Granary of Xuan'en County as a representative case study. Through field investigations of indoor environments, this study explores how traditional architectural practices have addressed the region's complex mountainous terrain and hot, humid climate. Major sustainable design strategies include rational site selection and layout adapted to the terrain, building forms and spatial organizations tailored to the environmental conditions, and the use of a "double-skin" envelope structure to enhance thermal insulation and ventilation. The results demonstrate that the average temperature of the grain depot does not exceed 25°C without active means, meeting the quasi-low temperature storage standard. Through comprehensive field research and analysis, this study demonstrates how these traditional design strategies not only improve indoor thermal comfort and energy efficiency but also align with local economic levels and modern living requirements. By leveraging passive design techniques rooted in local cultural and environmental contexts, this research provides a framework for integrating these strategies into contemporary sustainable architecture. [ABSTRACT FROM AUTHOR]

This research addresses the persistent challenges of data loss and inefficient workflow integration between 3D digital design tools (Rhinoceros) and Building Information Modelling (BIM) platforms (Revit) in the architecture, engineering, and construction (AEC) industries. The study investigates how design integrity can be preserved during the transition between these platforms, focusing on ensuring compatibility while maintaining the original design intent. The research aims to answer the question: How can design integrity be preserved when transitioning from 3D design tools to BIM platforms while ensuring seamless interoperability? Using an inductive bottom-up approach, empirical data were collected from 35 student projects over three years at The American University in Cairo. Observations were used to classify challenges encountered in transitioning from Rhinoceros to Revit, synthesising the results into evidence-based best practices. Surveys and statistical analyses were conducted on the participants' (students') responses to validate the findings from the analysis and observations of their digital workflow experiences. This study fills a gap in existing literature, which often overlooks the technical integration between 3D design tools and BIM platforms during the creative design phase. The research offers practical solutions for improving workflow integration, reducing data loss, and enhancing collaborative efficiency. The findings are expected to impact both professional practice and education, offering pathways to more efficient design transitions and equipping students with skills to navigate digital design challenges in future AEC projects. [ABSTRACT FROM AUTHOR]