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Purpose: This study addresses the critical role of Life Cycle Assessment (LCA) visualisations in the building industry, focusing on the development and evaluation of an innovative 3D dashboard approach in Microsoft Power BI for enhanced LCA visualisations in building projects. It emphasises the need for effective communication of LCA results among stakeholders to support sustainable decision-making and reduce CO2 emissions in the construction sector. Methods: The research involved defining key goals for LCA visualisation, developing a novel methodology to integrate LCA results with 3D models in an interactive Power BI dashboard and conducting a comparative analysis of traditional and 3D visualisation methods. Two real-world case studies were evaluated, and a survey was conducted among professionals in the architectural and structural engineering fields to assess the effectiveness of the proposed visualisation approach. Results and discussions: The findings demonstrate that the 3D dashboard significantly enhances the ability to meet diverse LCA visualisation goals compared to traditional methods. The interactive nature of the dashboard allows for dynamic representation of LCA data, facilitating better understanding and decision-making. The study underscores the importance of tailoring LCA visualisations to the specific requirements of different building projects. User feedback confirmed the new approach's advantages, particularly in its ability to facilitate informed sustainable decision-making. Conclusions: The introduction of interactive 3D dashboards represents a significant advancement in the field of sustainable building design and analysis. This approach not only improves the clarity and comprehensibility of LCA data, but also fosters collective action and systemic change in the construction industry towards more sustainable practices. By setting a new standard in LCA methodologies, this study contributes to the broader goal of reducing CO2 emissions and addressing the climate crisis in the building sector. [ABSTRACT FROM AUTHOR]

• AI improves infectious waste management. • Ensemble model exceeds 97.81% accuracy. • Reinforcement learning optimizes classification. • Geometric augmentation boosts model robustness. • Study addresses urgent urban waste challenges. This research paper focuses on effective infectious municipal waste management in urban settings, highlighting a dearth of dedicated research in this domain. Unlike general or specific waste types, infectious waste poses distinct health and environmental risks. Leveraging advanced artificial intelligence techniques, we prioritize infectious waste categorization and optimization, integrating metaheuristics into optimization methods to create a robust dual-ensemble framework. Our model, the "Enhanced Artificial Intelligence for Infectious Municipal Waste Classification System," combines ensemble image segmentation methods and diverse convolutional neural network models. Innovative geometric image augmentation enhances model robustness, diversifies training data, and improves accuracy across waste types. A pivotal aspect is the integration of a reinforcement learning-differential evolution algorithm as a decision fusion strategy, optimizing classification by harmonizing outputs from ensemble methods and convolutional neural network models. Computational results, using a newly collected dataset, demonstrate our model's accuracy exceeding 96.54% while using the existing solid waste dataset we achieve the accuracy of 97.81%, outperforming advanced approaches by margins ranging from 2.02% to 8.80%. This research significantly advances sustainable waste management, showcasing artificial intelligence's transformative potential in addressing intricate waste challenges. It establishes a foundational framework prioritizing efficiency, effectiveness, and sustainability for future waste management solutions. Acknowledging the importance of diverse datasets, customization for urban contexts, and practical integration into existing infrastructures, our work contributes to the broader discourse on the role of artificial intelligence in evolving waste management practices. [ABSTRACT FROM AUTHOR]

The article provides ten rules for successful and sustainable research collaborations in Africa. It emphasizes the importance of understanding the cultural, social, and political landscapes of Africa and adapting research methodologies accordingly. Regular and open communication strategies are highlighted as crucial for collaboration and mutual understanding. The article also emphasizes the need for responsible exchange of research materials and resources, promoting equity and inclusion, and addressing disparities in resources. The Cape Town Statement provides recommendations for ethical research, aiming to address the imbalance in research benefits between high-income and low- and middle-income countries. Challenges to achieving equitable research collaborations include resource distribution, cultural and linguistic diversity, and power dynamics. Overcoming these obstacles requires fostering inclusivity, addressing cultural differences, and incorporating capacity-building components. Open science practices, adherence to local ethical approval policies, and clear publication guidelines are also essential. Collaborative research in Africa has the potential to contribute to global health systems, socioeconomic development, and the understanding of complex diseases. Following these guidelines can lead to a more equitable and impactful scientific enterprise. [Extracted from the article]

This study evaluates the effectiveness of environmental and forest legislation in promoting sustainability in Türkiye, with a particular focus on participatory aspects of access to forestland agreements. Utilizing sustainability performance metrics and indicators defined by the World Bank, we identified relevant variables. We then assessed the legislation’s effectiveness using statistical methods, based on a sample of 114 participants from the forestry and mining sectors. The study found the legislation ineffective in improving the economic conditions of local communities not relocating during mining activities (62.75% failure rate). Additionally, 52.2% of participants deemed the legislation inadequate in providing access to information, and 58.35% found stakeholder participation insufficient. Legislation regarding the financial profitability of the administration (59.2%), protection of water resources (54.4%), and soil protection (58.3%) was also considered inadequate. While 6 of the 16 analyzed sustainability criteria were scrutinized, suggesting a trend toward sustainable legislation, it cannot be definitively concluded that this trend is sufficient to ensure forest sustainability. Further research and legislative adjustments may be needed to address the identified shortcomings and fully promote sustainable forest management in Türkiye. [ABSTRACT FROM AUTHOR]

The construction industry and associated processes emit about 40%-50% of greenhouse gasses globally, making buildings' lifelong impact on the environment inevitable. Although research and development stakeholders have directed their focus on various sustainable, recycled, and upcycled building materials, as well as circular designs and construction methods to reduce the adverse effects of environmental challenges, researchers have not yet fully addressed a building's post-use treatment. Considering that the gap still remains in knowledge concerning how to fully achieve net-zero waste and emissions from construction materials, designs, and processes at the end of a building's life, this study contributes a concise definition of the concept of adaptability with a holistic review to understand Design for Adaptability (DfA) and its potential to reduce the need for unnecessary new construction and eliminate potential waste. This review used the PRISMA guidelines approach to gather key insights from various articles on the concept of adaptability that are relevant to the scope of buildings. Moreover, this review identifies potential areas of further research that could boost confidence in the use of adaptable strategies in the future. A total of 50 articles out of 170 articles were chosen through a selection process involving a new set of inclusion and exclusion criteria based on PRISMA guidelines. The findings show that demographical, technological, and economic motivations drive adaptability's functional, environmental, economic, and social benefits. However, the regulatory, technical, economic, and social barriers hinder its implementation in construction processes. The findings also demonstrate that various promising frameworks for assessing adaptability still lack comprehensive guidelines, assessment, and validation methods for the overall implementation of adaptable strategies. Existing frameworks are mostly limited to spatial assessment of the reuse of spaces and do not account for the structural flexibility and performance of load-bearing building elements despite the fact that most assessed papers were from the engineering field. Nevertheless, this paper concludes that adaptability strategies can be implemented early during the construction of new buildings or during the repurposing of existing buildings, with the end goal being to increase the longevity of the use of structures, prevent premature demolition, and minimize unnecessary construction waste. [ABSTRACT FROM AUTHOR]

This paper presents a new layered plaster-based material for building purposes. First, a new manufacturing machine was designed to make the elaboration process easier. This manufacturing machine and the way it works are described. In this study, perlite and recycled glass wool (RGW) were added to traditional plaster with the aim of improving the performance of this material. Two series (with and without perlite) and three different layer configurations were developed and assessed. Recycled glass wool layered materials were subjected to both physical and mechanical characterisation to determine their suitability for precast elaboration. The addition of perlite resulted in a significant improvement in flexural strength. Moreover, the addition of RGW also gave rise to extra flexural strength when added. The two-layered samples performed better than the one-layered samples. Mechanical properties increased up to 75% when both the perlite and RGW layers were added. Potential Global Warming Potential (GWP 100) savings were also analysed, reporting up to 49% savings. A complementary cost analysis was performed, aimed at establishing potential savings in production costs; thus, 13–57% potential cost savings were reported. After that, a comparative analysis within the literature was conducted to contextualise the results obtained in this study. [ABSTRACT FROM AUTHOR]

Sustainable interior architectural education stands as a pivotal force in shaping the future of design, environmental responsibility, and societal well-being. This abstract encapsulates the essential elements that define the foundation of such education. The primary goal of this research is to delineate the ten fundamental elements that constitute the framework for sustainable interior architectural education. This investigation draws upon Scopus-indexed papers published within the timeframe spanning from 2010 to 2023. Through a comprehensive analysis of these scholarly sources which contributed from 38 referred journals, this study aims to distill and define the key components that underpin the pedagogical approach to sustainable interior architecture. Sustainable Design Principles form the cornerstone, instilling the integration of environmental, economic, and social dimensions into design. Environmental Awareness is paramount, fostering a deep understanding of design's ecological footprint. Sustainable Materials and Construction underscore responsible material choices and construction techniques. Integration of Renewable Energy and Life Cycle Assessment equips students to harness clean energy and assess long-term environmental impacts. Social and Cultural Considerations emphasize designing spaces that respect diverse communities. Indoor Environmental Quality prioritizes occupants' health and well-being. Research and Innovation drive progress, fostering a culture of continuous improvement. An Interdisciplinary Approach encourages collaboration across disciplines. Professional Ethics and Responsibility ground future interior architects in integrity and accountability. These elements, woven into sustainable interior architectural education, empower graduates to create spaces that harmonize with the environment, enrich lives, and shape a more sustainable future. [ABSTRACT FROM AUTHOR]

The efficacy of saving energy standards depends on the ability to anticipate the heat loss of buildings. Environmentally friendly materials, also known as eco-friendly or sustainable materials, have a minimal negative impact on the environment throughout their life cycle. These materials are designed to conserve resources, reduce pollution, and promote sustainability. The characteristics of non-stationary and non-linear heat loss through environmentally friendly materials make it challenging to anticipate accurately. At the same time, many of the industry's presently accessible computational models have been created with this in mind; the majority call for powerful computers and time-consuming computations. The artificial neural network (ANN) has been utilized for prediction, and ground-breaking research has shown the viability of this strategy. This research proposes an artificial neural network (ANN) prototype to estimate construction cooling load usage. ANN is integrated with the vortex search algorithm (VS), stochastic fractal search (SFS), and multi-verse optimizer (MVO) models to compare the three models' outcomes and suggest a more accurate strategy. These techniques make a linear mapping among the output and input parameters, often utilized for modeling and regression. The value of the multiple determination coefficient is also determined. The values of the training R2 (coefficient of multiple determination) are 0.9464, 0.99827, and 0.99522 for VS-MLP, SFS-MLP, and MVO-MLP, respectively, with an unknown dataset which is acceptable. The training RMSE amounts for VS-MLP, SFS-MLP, and MVO-MLP are 0.06433, 0.00619, and 0.01028 for the unknown dataset, which is acceptable. According to the MAE values of 0.0082902, 0.0047834, and 0.0076534 in the training phase for VS-MLP, SFS-MLP, and MVO-MLP approaches and the values of testing MAE error of 0.029107, 0.018167, and 0.029212 for VS-MLP, SFS-MLP, and MVO-MLP approaches, respectively, it is obtained that the SFS-MLP has a lower MAE value. The lowest RMSE value and the higher R2 value indicate the favorable accuracy of the SFS-MLP technique. [ABSTRACT FROM AUTHOR]

Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it faces challenges in terms of fish growth and health monitoring. The advancement of artificial intelligence (AI) techniques offers promising solutions for optimizing fish farming practices and ensuring sustainable aquaculture. This abstract provides an overview of the role of AI in fish growth and health status monitoring, emphasizing its significance in promoting a sustainable aquaculture industry. AI technologies, such as machine learning and computer vision, have shown immense potential in analyzing large volumes of data collected from fish farms. By leveraging AI algorithms, fish farmers can gain valuable insights into fish growth patterns, feeding behavior, and environmental factors affecting fish health. These algorithms can detect and predict anomalies, diseases, and stress indicators, enabling proactive interventions to mitigate health issues and reduce losses. One of the key applications of AI in aquaculture is the development of smart monitoring systems. These systems employ various sensors, cameras, and data analytics tools to continuously collect real-time data on water quality, temperature, oxygen levels, and fish behavior. AI algorithms analyze this data to identify deviations from optimal conditions and provide timely alerts to farmers, allowing them to take appropriate actions such as adjusting feeding schedules, modifying water parameters, or administering treatments as needed. Furthermore, AI-based models can assist in optimizing feed management and reducing wastage. By analyzing historical data on fish growth and feed consumption, machine learning algorithms can determine the most efficient feed formulation and feeding regimes, leading to improved growth rates and minimized environmental impact. Another significant aspect of AI in fish farming is disease detection and prevention. Through image analysis and pattern recognition, AI algorithms can identify early signs of diseases, parasites, or abnormalities in fish appearance and behavior. This enables prompt disease diagnosis and targeted treatment, reducing the need for excessive use of antibiotics and chemicals while improving fish welfare. In summary, the integration of AI techniques in fish growth and health status monitoring holds great promise for the sustainability of aquaculture. By leveraging AI's capabilities in data analysis, pattern recognition, and predictive modeling, fish farmers can optimize their practices, enhance productivity, reduce environmental impact, and ensure the welfare of farmed fish. However, continued research, data sharing, and collaboration between scientists, industry stakeholders, and policymakers are essential for harnessing the full potential of AI in achieving a sustainable aquaculture industry. [ABSTRACT FROM AUTHOR]

The performance of the no-till seeder is one of the most important factors that affect the success of the no-tillage. Striking the right balance between furrow opener design and residue cover is essential for optimizing seeding conditions and ensuring sustainable agricultural practices that promote both soil conservation and high-yield crop production. This study investigates the impact of residue cover on no-tillage maize seeding after wheat harvest, focusing on plant spacing, seeding depth, mean emergence time, and percent emergence. Trials with hoe-type and double-disc-type furrow openers, accompanied by plain- or ripple-disc-type coulters, were conducted in Antalya, Turkey. The results indicate that residue cover had no significant effect on mean plant spacing, but a higher residue cover increased spacing variation. The seeding depth in hoe-type furrow opener trials remained consistent, while double-disc-type furrow openers showed lower depths with 80% and 90% residue covers. The percentage of plant emergence and mean emergence time decreased as the residue cover increased in double-disc-type furrow opener trials. At 90% residue cover, PE decreased to 60%. The impact of disc coulters on hoe-type furrow openers was limited, but they increased seeding depth and MET in double-disc-type furrow openers. These findings can help optimize residue management for improved efficiency in no-till farming systems. [ABSTRACT FROM AUTHOR]

The global prevalence of obesity presents a pressing challenge to public health and healthcare systems, necessitating accurate prediction and understanding for effective prevention and management strategies. This article addresses the need for improved obesity prediction models by conducting a comprehensive analysis of existing machine learning (ML) and deep learning (DL) approaches. This study introduces a novel hybrid model, Attention-based Bi-LSTM (ABi-LSTM), which integrates attention mechanisms with bidirectional Long Short-Term Memory (Bi-LSTM) networks to enhance interpretability and performance in obesity prediction. Our study fills a crucial gap by bridging healthcare and urban planning domains, offering insights into data-driven approaches to promote healthier living within urban environments. The proposed ABi-LSTM model demonstrates exceptional performance, achieving a remarkable accuracy of 96.5% in predicting obesity levels. Comparative analysis showcases its superiority over conventional approaches, with superior precision, recall, and overall classification balance. This study highlights significant advancements in predictive accuracy and positions the ABi-LSTM model as a pioneering solution for accurate obesity prognosis. The implications extend beyond healthcare, offering a precise tool to address the global obesity epidemic and foster sustainable development in smart cities. [ABSTRACT FROM AUTHOR]

With the intensifying global energy crisis and environmental issues, the energy consumption and environmental impact of the construction sector have garnered significant attention. The development and application of green building materials have become crucial research areas. Traditional building materials cause substantial resource waste and environmental pollution during production, usage, and disposal. In contrast, green building materials based on thermodynamic principles, owing to their superior thermal performance and energy storage capabilities, have gradually gained attention. This paper aims to systematically optimize the thermal performance of green building materials through a research approach grounded in thermodynamic principles. The study consists of two main parts: first, constructing the control equations for the phase change thermal storage process of green building materials, and analyzing the thermodynamic characteristics during the phase change process in detail; second, conducting an in-depth analysis of the heat transfer process in phase change thermal storage green building materials to explore their thermal performance in practical applications. Despite extensive research on the thermal performance of green building materials, there are still shortcomings in the systematic analysis and optimization of material thermal performance, and existing research methods often fail to comprehensively and accurately reflect the actual thermal behavior of materials. This paper aims to provide a scientific basis for the optimized design of green building materials, further promoting their application and development in the construction field. [ABSTRACT FROM AUTHOR]

Selecting the appropriate delivery method is of paramount importance, especially in sustainable construction projects that have unique characteristics that are different from their traditional counterparts. A new decision-support model is proposed to assist decision-makers in this selection process. Thirty-six key selection criteria were first identified, through literature review, and then divided into traditional and sustainability-specific categories. The relative weights of these selection criteria were then assessed using an analytic hierarchy process through a survey administered to construction professionals. The results indicated that the three most important groups of selection criteria were level of integration, technology, and innovation, in addition to scope-related criteria. Another questionnaire survey was administered to evaluate the effectiveness of the three common delivery methods––design–bid–build (DBB), design–build (DB) and construction management at risk (CMR)––in achieving the 36 identified selection criteria. The results revealed that the traditional DBB delivery method was outmatched by the heightened needs of sustainable construction projects for collaboration and integration that can only be achieved through alternative delivery methods, such as DB and CMR. The proposed model consists of four functions––strategic alignment, screening of the comprehensive selection criteria, evaluation of the three project delivery methods, and final selection. The proposed model provides a comprehensive list of selection criteria for helping decision-makers produce a defensible rationale for choosing the appropriate delivery method for their sustainable construction project. A case study is also presented to demonstrate the application of the proposed decision-support model. Sustainable construction is significant in mitigating environmental impacts and promoting better health and quality of life. But it has unique characteristics that are different from conventional construction. To address these characteristics, there is a need for updating project management practices to satisfy the demands of sustainable construction projects. Among the significant project management decisions is the selection of the appropriate project delivery method (PDM) for sustainable construction projects. The practical relevance of this study is the development of a comprehensive multicriterion decision-support model that incorporates both sustainability-specific and traditional selection criteria to help owners choose the most appropriate delivery method for their sustainable construction projects. The model offers owners an invaluable tool for producing a defensible rationale to justify choosing a specific PDM. The easy-to-follow model allows owners to readily use the model without needing expertise in performing arduous mathematical tasks. Once the required selection criteria are fed into the model, it automatically and instantaneously sorts and ranks the alternative delivery method options. The owner then selects the most appropriate PDM that strategically aligns with the sustainable project's goals. This model provides owners with a time- and resource-efficient technique for selecting the most appropriate delivery method. Selecting the appropriate PDM for sustainable construction projects enhances the chances of their successful completion and the achievement of the desired goals. This, in turn, encourages the execution of more sustainable construction projects, with their clear and established benefits to society, the economy, and the environment. [ABSTRACT FROM AUTHOR]

Gamification is gaining popularity in education because of its positive effects on learning motivation and engagement. However, several studies have doubted the long-term sustainable effects of gamification pedagogy, arguing that it provides only short-term benefits. Therefore, the purpose of this work is to explore the sustainability of gamification effects in learning. A crossover quasi-experiment was designed to trace the change of the impact of a gamified reading tool on children's reading over time. The results show that active participants' reading habits, motivation, and interests increased sharply during the use of the gamification application and then decreased slightly after they ceased using the application but remained higher than before the intervention. A discussion of how to create the persistence and sustainability of the effects of gamification for learning is presented. [ABSTRACT FROM AUTHOR]

Sustainable performance management stands as a critical aspect for businesses grappling with the multifaceted challenges of social, economic, and environmental concerns. Its importance has surged as companies endeavor to harmonize their operational strategies with sustainable development goals. However, it is notable that the current body of research overlooks the intricacies at the micro-level and the dynamic roles played by individual employees. Furthermore, there remains a notable gap in exploring the intricacies of causality and the mechanisms driving the relationships between sustainable practices and performance outcomes. This study conducted a bibliometric study dissecting the existing corpus of literature on sustainable performance management, to unveil prevalent trends, key contributors, influential journals, and emerging research themes. Through this rigorous exploration, seven distinct thematic clusters have emerged which reflect the interrelationships between various aspects of sustainable performance management, encompassing economic, environmental, social, and technological dimensions. Finally, this study offers valuable suggestions for future research endeavors aimed at enhancing the holistic comprehension of sustainable business practices, shaping organizational performance, and advancing global goals of sustainability. [ABSTRACT FROM AUTHOR]

Predicting concrete's compressive strength (CS) is a crucial and challenging task in civil engineering as it directly impacts the longevity and structural integrity of infrastructure initiatives. Precise estimation of the water–cement ratio (W/C) is essential for guaranteeing the structural integrity of structures since it is a critical parameter that greatly affects concrete's CS. This study carries out an extensive investigation of the prediction of the W/C of concrete, utilizing the enormous potential of machine learning, including the backpropagation neural network (BPNN), bilayer neural network, boosted tree algorithm, bagged tree algorithm (BGTA), and support vector regression (SVR), using 108 datasets. We integrate artificial intelligence models with traditional engineering techniques to develop a reliable, precise, and efficient forecasting system. The study input includes curing days (D), fiber (F), cement (C), fine and coarse aggregate (FA and CA), density (Den), CS, water (W), and W/C as the output variables. The result shows that, in comparison to the other models, BGTA-M3 achieved the best performance evaluation criterion. In the calibration and verification phases, NSE, PCC, R, and WI = 1 and MAPE = 0.00, respectively. BPNN-M3 had an MAPE of 0.0004 in the verification phase. The study uses SHapley Additive exPlanations (SHAP), an explainable artificial intelligence (AI) technique, to improve decision-making in complex systems, with cement "C" significantly contributing to higher predictions in SVR-M2. Future studies should expand the dataset to include information from diverse geographic areas, environmental conditions, and concrete mixes to enhance the applicability and dependability of the models. [ABSTRACT FROM AUTHOR]

Background: Although gamified sustainable consumption apps (SCAs) have been on the rise, only a few have survived longer than two years. While most existing research focuses on how gamification contributes to engagement and the formation of more sustainable consumption habits, there is little about how their survival is secured. Intervention's Purpose: Twenty-one SCA creators shared their considerations and experiences managing SCAs, providing valuable insights into the field of gamified sustainable consumption and practical insights for their stakeholders. Methods: Ideal-type and narrative analyses of the interviews unraveled some relevant survival strategies and lessons learned. Results: The creators' motivation and background play a role in the app's survival. Their experiences exposed several aspects affecting their gamification strategies and their relevance for the apps, highlighting traps to avoid and opportunities to improve their standing in an increasingly competitive market. Discussion: Most creators shared stories of "learn as you go," presenting how the flexibility to adjust the apps' business models rather than the creators' professional background is a critical success factor. Since their apps represent their understanding of sustainability, SCA creators should find practical and emotional ways to engage their users while considering the objectives of their apps. Conclusion: Awareness of the risks and pitfalls when creating an SCA may not be enough for successfully undertaking this enterprise. The creators should be capable of strategically plan for all the activities that creating and managing an SCA convey even before the app is conceptualized. [ABSTRACT FROM AUTHOR]

In this work, two area systems of renewable energy sources (RES), such as tidal, wind and solar, are interconnected with the deep residual network (DRN) controller in a microgrid. The DRN controller is used to control load frequency, which is optimally designed by green anaconda optimization (GAO) algorithm. The GAO algorithm is used to optimally select the DRN layers that improve the control of a two-area interconnected power system. GAO algorithm is utilized for the parameter section of a DRN controller in the interconnected power system with two areas, which provides optimal solutions based on the natural behaviour of green anacondas. The reason for choosing the GAO method is that it has high capability in the exploration and exploitation phase, thus creating effective tuning of controllers. The DRN controller is chosen because it has fewer additional parameters and increases the accuracy level, thus enhancing control of the two areas. The proposed model is implemented in MATLAB tool, and the results are compared with the existing methods of proportional-integral derivative-whale optimization algorithm (PID-WOA), PID-Harris hawks optimization (PID-HHO) and two degrees of freedom (2DOF)-PID (2DOF-PID). The comparison results indicate that the proposed GAO-based DRN controller achieves 98% efficiency and 95% frequency deviation, thus providing high-performance over counterpart methods. [ABSTRACT FROM AUTHOR]

The study of organic stabilization is crucial for understanding its impact on the durability and effectiveness of earthen plaster. Analyzing natural admixtures' effects on plaster properties provides insights that aid in optimizing plaster composition and application for desired characteristics. The addition of biopolymers, known to enhance plaster performance, necessitates further investigation to understand their role in earthen plaster stabilization. This study focuses on Tata Somba homes in Benin and Togo, recognized as UNESCO World Heritage sites. These unique architectural examples embody "architecture without architects", relying solely on local traditional knowledge. The objective is to explore and revive Tata Somba's ancient eco-technology for earth plaster stabilization. Research shows that biopolymers' combined stabilization and application techniques can improve earthen plaster performance. Seven promising bio-stabilizers were identified, suggesting their potential as sustainable, effective options for CO 2 mitigation in buildings. These findings not only deepen our understanding of earthen architecture but also underscore the potential of merging traditional, eco-friendly building methods with modern scientific insights to create sustainable solutions for cultural heritage preservation and contemporary built environments. [ABSTRACT FROM AUTHOR]

Achieving the United Nations' Sustainable Development Goals (SDGs) requires environmental, social, and governance (ESG) programs in the pharmaceutical industry. Using the Millennium Development Goals, the 2030 agenda aims to transform European Union companies toward sustainability. In pharmaceuticals, in particular, ESG programs come with complexities such as employee skills, corporate goals, and management expectations. Managing these programs effectively requires advanced technologies such as big data analytics (BDA) and dynamic capabilities (DC). In this study, DC theory is used to develop an architecture for managing ESG criteria, focusing on provenance, traceability, and availability. BDA's role in ESG programs is explored, along with its use cases and benefits, and how DC drives success in ESG implementation. The study examined five pharmaceutical companies in Germany, Portugal, and Switzerland, all consulting the same firm for BDA systems, to identify the characteristics of effective BDA implementation. The research explores how BDA and DC jointly enhance ESG efforts, the essential skills needed, and how DC aids in real-time decision-making in BDA projects aligned with ESG standards. It highlights the BDA system's accuracy and effectiveness in managing ESG programs, with DC as a pivotal facilitator. Findings reveal BDA's value in operational efficiency and aligning business models with ESG goals, underscoring the need for diverse skills in BDA implementation and DC's importance in integrating various managerial capacities into effective strategies. The study promotes a dynamic, data-driven approach in the pharmaceutical industry for managing complex ESG initiatives. It stresses continuous learning, adaptation, and integrating technological advances with ethical business practices. The research concludes by emphasizing BDA and DC's vital roles in advocating ethical, socially responsible, and environmentally sustainable practices in the pharmaceutical sector, marrying technology with ethical business strategies. [ABSTRACT FROM AUTHOR]

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An advanced organic light‐emitting diode (OLED) architecture featuring a green phosphorescent emitter with multiple resonance sensitization achieves a notable current efficiency exceeding 250 cd/A at a density of 10 mA/cm2. This design integrates phosphor‐sensitized fluorescent technology, resulting in significant longevity enhancement, superior color accuracy and reduced sensitivity to doping concentrations. [ABSTRACT FROM AUTHOR]

Skyrise greenery, including green roofs and vertical gardens, has emerged as an indispensable tool for sustainable urban planning with multiple ecological and economic benefits. A bibliometric analysis was used to provide a systematic review of the functions associated with skyrise greenery in urban landscapes. Key research tools, including the "Bibliometrix" R package and "CiteSpace" 6.2 R4, highlight the depth and breadth of the literature covering skyrise greenery. In 2000–2022, a total of 1474 original journal articles were retrieved. Over this period, there was an exponential increase in the number of publications, reflecting both enhanced knowledge and increasing concerns regarding climate change, the urban heat island, and urbanization. Of the total, ~58% of the articles originated from China, followed by the USA, Italy, Australia, and Canada. The research themes, such as urban heat islands, carbon sequestration, hydrology, and air quality, have been identified as the frontier in this fields. Furthermore, researchers from developed countries contributed the most publications to this domain, while developing countries, such as China, play an increasing role in the design and performance evaluation of vertical greenery. Key benefits identified in vertical green systems (e.g., green roofs and walls) include thermal regulation, sustainable water management, air-quality improvement, noise reduction, and biodiversity enhancement. In addition, several potential future research prospectives are highlighted. This review provides a comprehensive insight into exploring the pivotal role of skyrise greenery in shaping sustainable, resilient urban futures, coupled with sustainable urban planning. [ABSTRACT FROM AUTHOR]

Under the current energy crisis and climate change, sustainable urban planning and building design are a priority to achieve a net-zero future, as energy use in buildings for thermal comfort is one of the major carbon emission contributors. To adapt to a rapidly growing and stringent urban environment, where buildings are causing more emissions due to more frequent and severe extreme hot weather events, the parametric design approach has great potential and flexibility in providing a sustainable solution by simulating different design scenarios. This study aims to analyse urban geometry and identify the impact of various built environment scenarios on outdoor thermal comfort under certain climates. The Grasshopper program was used along with the Ladybugs plug-in to provide visualised outcomes of outdoor thermal comfort, with simulation models on Rhinoceros 3D Version 7 SR37 (7.37.24107.1500). Comparing the thermal comfort performance of different design scenarios, based on building height, orientation and urban geometry, helps to identify which factors are more impactful on building design. This study demonstrates the workflow of parametric design in analysing the microclimate pattern and outdoor thermal comfort performance of the existing built environment in Melbourne, Australia, to provide an insight for stakeholders and builders to inform better decision-making in urban planning and building design in order to achieve a zero-emission future. [ABSTRACT FROM AUTHOR]

This study aims to reveal the relationship between architecture and sustainability in the approximately half-century history of sustainability. The study reveals bibliographic characteristics such as change, trend, period, country and author in the terminology of sustainable architecture. A systematic literature review was carried out using bibliometric analysis to produce a performance analysis and science mapping of scientific studies in the field. Bibliometric network visualisations were created using VOSviewer software to analyse the conceptual, social and intellectual structure of the field. This study contributes to the literature by deciphering the bibliographic parameters of sustainable architecture studies conducted between 1975 and 2022. It also identifies current trends in the field and provides a chronological perspective on scholarly studies based on environmentally conscious architectural approaches. The scope of the study is limited to sustainable architecture studies in the Web of Science database, taking into account the range of resources and the speed of indexing. The studies were carried out using 15 keywords, which were predetermined for the scope and focus of the research. This study has enabled real and legal researchers to follow the developments and current course in the field. The broad temporal scope of this study, with its unique combination of research and potential to inform practice, underlines its contribution to the discourse on sustainable architecture and firmly establishes its rightful place. The analysis shows that research has gained momentum in recent years. Today, concepts such as sustainable architecture, climate change, sociocultural sustainability and reuse have come to the fore. [ABSTRACT FROM AUTHOR]

The impact of the building and construction sector on climate change is becoming more important and recognized. Multiple initiatives around the globe have been utilized to design and develop residential structures, aiming to reduce energy consumption and carbon emissions; yet, there are several barriers to effective construction processes. This research outlines the gaps and barriers encountered by key stakeholders that were engaged during the preconstruction phase of a three-story multi-generational low-impact Passive House in Fayetteville, Arkansas. Through direct observation and open-ended interviews, the primary data are collected, and secondary data from a comprehensive literature review are detailed to capture the challenges faced during different phases of the implementation of sustainable residential dwellings. This study highlights the limited knowledge and experience in sustainable building design as a common barrier among participants along with the insufficiency of the regulatory framework governing adopted building codes in Arkansas, in facilitating sustainable building design implementation. These challenges, among others, are then thoroughly examined, and recommendations to address them are described. [ABSTRACT FROM AUTHOR]

The development of ultrafine particles provided a new way to solve problems in the fields of energy, environment, and medicine, and had become one of the most promising technologies. Therefore, the application of ultrafine particles required the development of cleaner, greener, and more efficient preparation methods. The new freeze-dissolving technology has been applied in manufacturing of KHCO3 ultrafine particles, with an aqueous solution of 0.02–0.1 g KHCO3/g water. Frozen ice particles were formed after dripping the solution into liquid nitrogen. The antisolvent ethanol was used to dissolve the ice spherical template at a temperature below 273.15 K, and the pre-formed KHCO3 ultrafine particles inside the ice template remained in the ethanol aqueous solution. The ice particles were put into the freeze dryer to isolate the ultrafine KHCO3 particles. Compared with the particles produced with traditional freeze-drying technology, the ultrafine powder/particles produced by the freeze-dissolving technology were smaller with narrower size distribution. The freeze-dissolving technology has demonstrated a much more sustainable and efficient manufacturing process than the traditional freeze-drying process. In addition, the influence of the concentrations of KHCO3 and the sizes of ice particles were investigated with the discussions of mechanisms. [ABSTRACT FROM AUTHOR]

In the development of residential property development nowadays, is growing rapidly. This is also influenced by the increasing need of the population for housing on increasingly limited land, so the government is trying to develop vertical housing. Amid increasingly poor air quality, many people are considering healthy and clean housing. The current condition of apartments as multi-story residences is often faced with crucial energy performance problems. One of the most common examples is hygiene factors and indoor thermal discomfort caused by daily activities of temperature changes and vertical temperature stratification. In response to the two problems above, developers are trying to get buildings with green building certification from GBCI as one way to create green housing. This study aims to create parameters for assessing the performance of conventional apartments and Green Building-certified apartments in tropical areas in several aspects, especially in Indonesia. as a consideration in reviewing the cleanliness and health of an apartment. The data collection method used is a literature study from several related sources. [ABSTRACT FROM AUTHOR]

Research on the information module has identified a range of factors in the adoption model that determine their intention to learn sustainably. This research investigates the determinants of employees' intentions to use an online learning module within an office application, utilizing a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. Data were collected from 564 employees in different organizations and analyzed using structural equation modeling. The research examines correlations between four key determinants—performance expectancy, effort expectancy, social influence, and facilitating conditions—and eight user experience motivational factors, including career development, business needs, self-management, learning experience, company atmosphere, external pressure, company support, and course quality. The findings indicate that all four UTAUT determinants significantly support employees' use of the online learning module for continuous learning. Performance expectancy is positively influenced by career development and business needs, effort expectancy by self-management, social influence by external pressure, and facilitating conditions by company support and course quality. The learning experience and company atmosphere showed no significant correlation. The study offers valuable insights for managers, investors, and developers to enhance the adoption of online learning modules, promoting sustainable learning and employee development. [ABSTRACT FROM AUTHOR]

The unprecedented development of artificial intelligence (AI) makes it possible for computers to imitate and surpass human intelligence (HI). Hybrid intelligence is the result of the co-evolution of AI and HI and has huge application potential in promoting the sustainable development of human society. This study starts from the similarities and differences between biological neural networks and artificial neural networks, compares the cognitive foundations of human intelligence and artificial intelligence, highlights the difference and connection between AI and HI, and puts forward the necessity and inevitability of their co-evolution to achieve hybrid intelligence with complementary advantages. Hybrid intelligence stands to become the pivotal force driving purposeful and planned sustainable creative behavior in the artificial intelligence era. This study proposes a design cognitive creation model based on human–computer collaboration that considers computational design thinking as the central concept. Moreover, the paradigm shift of design under hybrid intelligence intervention are explored from five aspects: "tool evolution", "response mode", "output result", "iterative optimization" and "system innovation". Finally, this article constructs a creative intervention mechanism of design creation driven by hybrid intelligence and discusses its role playing in the design activities of sustainable multiverse construction in the future. The proposal of the multiverse model transcends the confines of the metaverse's virtual worldview and embraces sustainable development for value guidance. It advocates a future trajectory for humanity that hinges on technological progress, fostering a prosperous, balanced, and harmonious coexistence between the natureverse, socialverse, and digitalverse. This approach is not only rational and scientific, but also inherently sustainable. [ABSTRACT FROM AUTHOR]

Many world issues are faced and then become challenges of the 21st century. This study aims to define these challenges and how to overcome them as alternative solutions in architecture, with the context of sustainable architecture from an Islamic perspective. The methods used are literature review and logical argumentation. The results show that the challenges of the 21st century in the context of sustainable architecture include fundamental issues, namely nature conservation, related to humanity and technology as specific objectives, and several other objectives of the Sustainable Development Goals. Challenges can be faced by integrating the handling of each aspect, focusing on humans. In the view of Islam, integrated solutions are carried out within the spirituality framework, where humans act as caliphs. Through education, a means of accelerating human knowledge is obtained; through a spiritual approach, humans will think twice about destroying the universe and its contents. [ABSTRACT FROM AUTHOR]

With the Architecture, Engineering, and Construction industry representing a significant share of global energy consumption and greenhouse gas emissions, developing sustainable design and reducing buildings' environmental impacts has become a priority over the past decades. Adopting building information modeling tools and implementing them into life cycle analysis techniques at the early stages of design has been an effective method for buildings sustainability evaluation. With our environment constantly changing, it is reasonable that the construction industry should also aim to adapt to these changes and use them. However, the role of local climate features and their effects on a building's energy output is often neglected. By using building information modeling–life cycle analysis integration techniques, this research aims to consider the role of climatic attributes along with some passive design strategies in the life cycle assessment of the building and see how it affects that building's energy performance. By only applying passive design strategies (not including heating, ventilation, and air conditioning system type), the models' energy demand was reduced up to 30% of the original value. It is also witnessed that by using the proper equipment and construction materials that match the respective climate, up to 28% of the building's energy consumption during the operational phase, can be saved. Although insulation of the walls does reduce energy consumption values, it also contributes to more greenhouse gas emissions. The increase in greenhouse gas emissions was estimated to be around 3%, but since the insulation boards make up only 2% of the building's area, it is a considerable amount. [ABSTRACT FROM AUTHOR]

Transportation activities have witnessed a significant increase in recent years, with industrial evolution directly impacting the pillars of sustainable development. The literature demonstrates a surge in transport activities, with, for instance, a 20% rise in environmental impact and a 15% increase in overall economic influence. Recognizing this, businesses understand the importance of developing long-term plans for road transportation, considering its substantial impact on sustainability within logistics operations. Consequently, it becomes crucial to construct decision support models capable of analyzing the sustainability of supply chain and logistics performance. Therefore, the objective of this study is to create a prediction model utilizing an Artificial Neural Network (ANN) to approximate the global multidimensional sustainable performance value of the supply chain in the context of road freight transport. This approach combines the key dimensions of sustainability, including economic, social, and environmental aspects, along with operational and stakeholder considerations, for the first time in pursuit of this goal. Prior to the machine learning phase, a minimum condition algorithm was utilized to calculate sustainable performance as an initial design step. This algorithm assigns to a dimension the lowest level among the fields within the same dimension. This study presents a unique technique for predicting the global multidimensional sustainable performance within the logistics industry, which can also be adapted for other sectors. As a result, it offers valuable insights to managers regarding strategic development options. The sustainable performance value provides an indication and quantification of a company's sustainable performance level corresponding to its adherence to and achievement of objectives. [ABSTRACT FROM AUTHOR]

In the context of the escalating challenge of climate change, optimizing buildings' energy performance has become a critical research area, yet studies specifically targeting library buildings are scarce. This study addresses this gap by investigating the impact of multi-objective optimization on energy efficiency and occupant comfort in educational library buildings under future climate scenarios. Utilizing the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), this research optimizes a range of building parameters, including the cooling and heating setpoints, air change rates, shading device depths, window visible transmittance, and window gas types. The optimization aims to balance energy consumption and comfort, using simulations based on future weather data for the years 2020, 2050, and 2080. The results indicate that the optimized solutions can significantly reduce the heating energy by up to 95.34% and the cooling energy by up to 63.74% compared to the baseline models, while maintaining or improving the occupant comfort levels. This study highlights the necessity for dynamic, responsive architectural designs that can adapt to changing environmental conditions, ensuring both sustainability and occupant well-being. Furthermore, integrating these building-level optimizations into a City Information Model (CIM) framework can enhance urban planning and development, contributing to more resilient and energy-efficient cities. These findings underscore the importance of sustainable design practices in the context of climate change and the critical role of advanced optimization techniques in achieving energy-efficient, comfortable educational spaces. [ABSTRACT FROM AUTHOR]

Research currently focuses on immersive technologies like virtual reality (VR), augmented reality (AR), and mixed reality (MR). However, there is limited exploration of their application in sustainable smart cities with Building Information Modeling (BIM), and there remains a lack of interdisciplinary integration within this domain aimed at fostering sustainable smart city development. Therefore, this paper aims to explore the development status of immersive technology and BIM in sustainable smart cities, identifying trends and research hotspots by employing a triangulation research method mixed with a quantitative method via bibliometric analysis and a qualitative method via content analysis to investigate the relationship between immersive technologies and BIM in sustainable smart cities. The results reveal a fragmented nature in the research on immersive technology and BIM in sustainable smart cities, with rapidly changing hotspots and new technologies following a cyclical pattern every 3 to 5 years. Two distinct cycles of growth were observed in the field over the last 10 years (2014–2023). The first cycle, from 2014 to 2017, represented modest growth, while the second cycle, from 2018 to 2022, showed rapid expansion, with the keywords AR, VR, MR, BIM, smart city, and smart city concept indicating the research hotspots. Immersive technologies and BIM, developed since 2017, have contributed to sustainable smart city construction. The emerging keywords AR, MR, and 360-degree VR have become research hotspots since 2021, particularly in collaborative construction. Future research trends include artificial intelligence, digitalization, AR, and MR, while building sustainability and intelligent construction have emerged as real-world applications. Additionally, this paper employs software tools to generate multidimensional knowledge maps to form a knowledge universe map at a "macro-knowledge" level followed by a "micro-knowledge" level comprising a standard knowledge system, such as lifecycle analysis, enhancing the objectivity and organization of the results and providing innovative references for future research. [ABSTRACT FROM AUTHOR]

This study focuses on evaluating modular house construction projects, which is a critical segment within sustainable building practices. Despite the significant advantages of modular construction, such as enhanced resource efficiency and reduced environmental impact, existing research often overlooks its unique attributes and constraints. Our objectives were to identify crucial parameters for a comprehensive evaluation of modular construction, particularly emphasizing sustainability, and to explore how an advanced conversational AI tool, ChatGPT, can assist in modular building assessments. We employed the Delphi method to define these parameters and integrated ChatGPT to develop a robust assessment methodology. This approach allowed us to harness AI-driven insights to enrich the evaluation process. Our findings suggest that ChatGPT delivers high-quality results comparable to those produced by experts in modular building assessments. ChatGPT formulated a detailed description of the evaluation scale for each criterion, effectively outlining the guidelines for evaluating modular house projects. To illustrate the effectiveness of our proposed methodology, we applied it to a real-world modular house project in Lithuania, demonstrating how this approach can significantly contribute to advancing sustainable construction practices. [ABSTRACT FROM AUTHOR]

Traditional cold alleys have the ability to adapt to hot climates with cooling and insulation, which is a traditional design method that conforms to sustainable development. Due to the limited depth of space and the adoption of mechanical ventilation in most contemporary architectural design, this passive energy-saving method is gradually being ignored. In this study, we use ventilation measurement and simulation to explore the characteristics of ventilation performance in the cold alleys of the renovation and expansion project of Shixiangyuan Garden. The research, using anemometers and thermometers for measurement, aims to explore how Shixiangyuan Garden can utilize its existing environment and improve it to adapt to local conditions, and also discusses the methods of increasing the number of air vents to improve the overall ventilation performance of the alleys, as well as the effects of form changes caused by utilizing water and plants to supplement the soft interface. Although many studies have explored the mechanisms of cold alleys in traditional architecture, few have discussed the variance of cold alley forms that could adapt to the limited depths of newly constructed buildings. This study attempts to explore the potential for this through simulation. The purpose is to find new ways to inherit the sustainable advantages of cold alleys in new projects. [ABSTRACT FROM AUTHOR]

This study investigates the integration of Green Building Technologies and Solutions within UAEU's Maqam Campus, focusing on assessing sustainable design effectiveness. Using a mixed-method approach, the research comprehensively evaluates indoor environmental quality (IEQ) from June 2022 to January 2023. Data collection, user insights, on-site audits, and analysis inform the assessment. Initial survey findings reveal a preference for manual control among students, emphasizing user agency. Subsequent surveys and environmental monitoring identify areas for improvement, notably in thermal comfort and lighting quality. The study highlights the significance of holistic occupant satisfaction and IEQ in green building design, advocating for user-centric solutions and advanced technologies to enhance energy efficiency and create harmonious environments in educational buildings like the C6 building. [ABSTRACT FROM AUTHOR]

Considering the significant growth of the global population, several severe issues have emerged, including pollution, economic challenges, and environmental problems. To tackle these ecological issues, many construction experts are actively seeking new flexible techniques. Among these, Nano-technology stands out as a crucial field aiming to enhance the efficiency of the built environment and play a vital role in addressing future challenges. This study aims to examine the effectiveness of integrating Nano-technology techniques in construction to harness the acquired properties of materials and their impact on the interior thermal environment. The paper is divided into three main parts, each providing a detailed and scientific depiction of the study. The first part begins by shedding light on the concept of sustainability in architecture and the evaluation of sustainable buildings. Additionally, it explores the definition of Nano-technology and its substantial impact on the field of architecture by discussing various architectural terms associated with Nano-technology. The emergence of Nano-architecture is seen as a significant advancement in scientific research, representing a fusion between architecture and Nano-technology. Moving on to the second part of the thesis, it focuses on how Nano-technology techniques influence the work of architects. Nowadays, architects consider the properties of construction materials, construction methods, and energy consumption. These factors are essential in achieving an ideal design that is defined as sustainable. The second part also examines the effect of Nano-technology on the thermal environment, analyzing both national and international projects that have implemented this technique. [ABSTRACT FROM AUTHOR]

Architects and engineers who seek design decision aid for sustainable building and city design frequently experience decisional conflict and require support across the design process. Building performance simulations have become central to supporting the design process, but little is known about the fit and usability of simulation tools and the factors influencing the implementation of simulation-based design in practice. This paper presents a novel framework for simulation tool usability called USER-FIT. The framework defines usability based on ISO definitions, a review of evidence in the literature, and our experience supporting the development of the framework. USER-FIT provides six measures for modelers and software developers to test how a simulation tool is useful, usable, and satisfactory for the intended users to inform sustainable design decision-making. Further research and testing are needed to support better the acquisition and implantation of usability testing for building performance simulation tools and applications. [ABSTRACT FROM AUTHOR]

Over the last decade, our world exposed to many types of unpredictable disasters (recently Coronavirus). These disasters have clearly shown the uncertainty and vulnerability of supply chain systems. Also, it confirmed that adopting Just-in-Time (JIT) strategy to reduce the logistic chain cost may lead to inbuilt complexity and risks. Efficient tools are therefore needed to make complexity optimized supply chain decisions. Evolutionary algorithms, including genetic algorithms (GA), have proven effective in identifying optimal solutions that address the trade-offs between total supply chain cost and carbon emissions regulatory policy represented by carbon tax charges. These solutions pertain to the design challenges of supply networks exposed to potential disruption risks. However, GA have a set of parameters must be chosen for effective and robust performance of the algorithms. This paper aims to set the most suitable values of these parameters that used via GA – ased optimization cost and risk reduction model in firms using a JIT as a delivery system. The model has been conceptualized for addressing the design complexities of the supply chain, referred to as SCRRJITS (Simultaneous Cost and Risk Reduction in a Just-in-Time System). A complete analysis of the different parameters and operators of the algorithm is carried out using design of experiments approach. The algorithm performance measure used in this study is convergence of solutions. The results show the extent to which the quality of solution can be changed depending on selection of these parameters. [ABSTRACT FROM AUTHOR]

Nowadays, European seabass (Dicentrarchus labrax) aquaculture is undergoing a significant expansion. Nevertheless, the aquaculture industry is plagued by vibriosis. The spatial and temporal dynamics of Vibrio harveyi were studied on a European seabass farm in northern France during seven months of 2022. Concrete specimens were suspended and water was pumped from different depths (0.3 m, 2.15 m and 4 m deep), providing insights into the biofilm and planktonic V. harveyi dynamics. The abundances of V. harveyi, in the biofilm and free-living forms, were positively correlated. The water parameters revealed seasonal fluctuations in temperature, pH, and salinity, with no significant differences observed across the water column. Quantification of V. harveyi revealed no significant differences between depths, but seasonality, with peak abundances observed in August, correlated with temperature increases. Principal component analysis identified temperature as a primary driver, but also additional parameters, such as salinity and pH. Vibriosis occurred during the sampling period, providing valuable insights into the conditions before, during, and after the outbreaks. This study underscores the importance of understanding V. harveyi behaviour in aquaculture, particularly in the context of global warming, for effective disease management and sustainable practices. [ABSTRACT FROM AUTHOR]

This manuscript addresses the imperative for sustainable building practices, particularly focusing on office buildings, which exhibit high energy consumption rates. Conventional building methods contribute significantly to environmental degradation through energy, water, and raw material usage, alongside waste generation and pollution. In contrast, green buildings offer a paradigm shift towards healthier, resource-efficient models, promoting sustainability and environmental stewardship. Green architecture, a global trend, emphasizes harmonizing building-environment interactions. Architects play a pivotal role in implementing advanced strategies to reduce energy consumption in office buildings, including the integration of renewable energy sources like solar and wind power. This paper highlights sustainable indicators and principles crucial for transforming office buildings into green structures. It underscores the urgency for architects to prioritize energy reduction through renewable sources and electric energy rationalization. Ultimately, the research contributes to advancing the discourse on green building practices, offering practical guidance for architects, policymakers, and stakeholders invested in fostering sustainable development within the built environment. [ABSTRACT FROM AUTHOR]