Integration Of Sustainability Research Articles

This study provides a comprehensive review of advancements in the field of train–track–subway system interaction dynamics and suggests future directions for research and development. Mathematical modeling of train–track–subway interaction system is addressed, including wheel–track contact mechanics and wear, train multibody dynamics, train–track system coupling dynamics, track slab subsystem dynamics, subway tunnel–ground interaction models, building vibration excited by ground-borne seismic waves, and noise. Advanced computing and simulation techniques used for numerical studies of the dynamics of train–track–subway system interaction in the past two decades are also addressed, including high-performance computing with efficient algorithms, multi-physics and multi-scale simulation, real-time hardware-in-the-loop simulation, and laboratory and field validation. The study extends the applications of train–track–subway interaction dynamics to subway route planning, structural and material design, subway maintenance, operations safety and reliability, and passenger comfort. Emerging technologies and future perspectives are also reviewed and discussed, including artificial intelligence, smart sensing and real-time monitoring, digital twin technology, and sustainable design integration.

The increasing integration of artificial intelligence (AI) into workplace systems presents both opportunities and challenges for advancing ergonomics. The literature address how AI can be harmonized with ergonomic principles to enhance workplace design, safety, and human well-being. This gap underscores the need for a systematic synthesis of research on AI-driven ergonomic applications. The study aims to (i) analyze the existing body of research on AI-driven ergonomic applications, (ii) construct a conceptual map capturing the intersections of human, technological, and organizational factors, (iii) identify the contributions of key topic experts, and (iv) synthesize emerging themes that define future directions. A comprehensive review was conducted using Scopus AI (25 September 2025). The method involved retrieving and analyzing relevant documents through search strings incorporating terms related to AI, ergonomics, workplace design, and integration. Scopus AI tools such as Summary, Expanded Summary, Concept Map, Topic Experts, and Emerging Themes were applied to identify patterns in research productivity, thematic structures, and knowledge gaps. The findings reveal that AI integration with ergonomics has yielded applications across diverse sectors, including workplace health and safety, smart manufacturing, automotive design, and fashion manufacturing. Consistent themes such as AI in smart manufacturing, human-AI collaboration, and AI in human resource management highlight ongoing advancements, while rising themes such as AI-powered wearable technology, occupational health and safety, and smart building systems indicate new frontiers. Challenges related to ethics, data privacy, workforce readiness, and organizational resistance were also identified. The study provides both theoretical and practical implications. Theoretically, it expands ergonomic discourse by situating it within human-centered AI frameworks, while practically, it offers insights for organizations seeking to implement AI solutions responsibly. These findings highlight the transformative potential of AI-driven ergonomics while emphasizing the need for ethical, sustainable, and user-centered integration.

Corporate governance has increasingly played as a key driver of Corporate Sustainability Performance (CSP), particularly in the increasing global demand for responsible business practices. In Malaysia, despite regulatory efforts and the introduction of sustainability reporting requirements, the incorporation of environmental, social, and governance (ESG) elements into corporate governance frameworks remains inconsistent. This gap raises concerns about the effectiveness of existing governance mechanisms in promoting sustainable outcomes, particularly among publicly listed firms. Motivated by this concern, this paper reviews the relationship between corporate governance and corporate sustainability performance, focusing on the Malaysian context. Using a literature review approach, it delved into the effectiveness of governance mechanisms such as board independence, gender diversity, and cultural diversity in promoting sustainability. The study also explores the updates introduced in the Malaysian Code of Corporate Governance (MCCG) 2021, emphasizing stronger board oversight and the integration of sustainability into corporate strategies and operations. By highlighting these developments, the paper contributes to existing literature and provides relevant insights for investors and companies. It underscores the importance of corporate governance in enhancing environmental, social, and governance (ESG) performance, ultimately supporting the green and sustainable growth of Malaysian publicly listed firms.

Augmenting approaches to AMR prevention: a case for environmental sustainability within the WHO core components for infection prevention and control.

This paper examines how sustainable leadership and strategic sustainability integration are framed and supported for SMEs in the EU. We apply comparative document analysis (CDA) to 35 policy, industry, and NGO reports published in 2020–2025 for Germany, Sweden, Poland, and Spain. Multi-level materials (EU, national, industry/NGO) were thematically coded, and the synthesis is presented in a multi-level conceptual framework linking policies, leadership, strategy, barriers, and transferable practices. The analysis indicates systematic differences in institutional maturity: Sweden and Germany display denser, more navigable support ecosystems and clearer leadership narratives, whereas Poland and Spain exhibit greater fragmentation and a more compliance-oriented framing. Instrument menus are broadly similar (grants/co-funding, concessional finance, advisory vouchers, training, standards/toolkits, green public procurement), yet accessibility and measurement strength diverge; outcome tracking (e.g., energy savings, CO2e avoided) is more consistent in Sweden/Germany than in Poland/Spain. Green–digital coupling is pivotal: sequencing “on-ramps” (advisory/vouchers) into innovation finance accelerates adoption; where such on-ramps are thin, uptake concentrates among already prepared firms. Implications follow for policy design and practice: prioritize simple entry points for micro- and small enterprises, strengthen monitoring with meaningful KPIs, and ensure regional parity in access to finance and advisory. For SME leaders, role-modeling, employee development, and experimentation help embed sustainability when formal structures are lean. Beyond mapping patterns, this study provides an auditable operationalization of sustainable leadership for document analysis and a transferable framework to compare policy mixes and ecosystem readiness across countries.

The transition towards sustainable and low-carbon energy systems highlights the crucial role of buildings, microgrids, and local communities as key actors in enhancing resilience and achieving decarbonization targets. The application of artificial intelligence (AI) is of paramount importance as it enables accurate prediction, adaptive control, and optimization of distributed resources. This paper reviews recent advances in AI applications for transactive energy (TE) and dynamic energy management (DEM), focusing on their integration with building automation, microgrid coordination, and community energy exchanges. It also considers the emerging role of life cycle-based methods, such as life cycle assessment (LCA) and life cycle cost (LCC), in extending operational intelligence to long-term environmental and economic objectives. The analysis is based on a curated set of 97 publications identified through structured queries and thematic filtering. The findings indicate substantial advancement in methodological approaches, notably reinforcement learning (RL), hybrid model predictive control, federated and edge AI, and digital twin applications. However, this study also uncovers shortcomings in the integration and interoperability of sustainability. This paper contributes by consolidating fragmented research and proposing a multi-layered AI framework that aligns short-term performance with long-term resilience and sustainability.

In the current context of global environmental crisis, graphic design faces the urgent need to rethink its practices from an ecological perspective. This dissertation focuses on exploring ecological graphic design as a powerful communicative tool for fostering environmental sustainability. Through critical literature analysis, the study examines the use of sustainable materials—such as recycled paper, biodegradable inks, bioplastics, and FSC certifications—and their impact on both production and consumer perception. Concurrently, it investigates how an innovative visual language—including emotional narratives, visual metaphors, aesthetic minimalism, and dynamic infographics—can significantly enhance the effectiveness of environmental messages. The research argues that graphic design not only serves an aesthetic function but also acts as an agent of change by influencing consumer behavior through tailored communicative strategies. In this sense, a methodological framework integrating theory and practice is proposed, highlighting the importance of ethical decisions at every stage of the design process, from material selection to the formulation of visual narratives capable of generating empathy and social engagement. Furthermore, international case studies are presented, demonstrating how brands and design studios have successfully incorporated sustainable criteria into their creative processes, achieving both ecological and commercial impact. The research concludes that ecological graphic design has the potential to act as a bridge between environmental ethics and effective communication, provided it is underpinned by reflective, collaborative, and culturally contextualized practices. Finally, recommendations for future research are offered, including the need for comparative studies, the curricular integration of sustainability into designer training, and interdisciplinary collaboration with behavioral sciences.

In this study, a novel multifunctional composite comprising polyvinyl alcohol (PVA), microcrystalline cellulose (MCC), sulfur, and vanadium dioxide (VO2) was successfully synthesized through a solvent-free melt intercalation method. The process involved dispersing MCC/S-VO2 material within a PVA matrix in the molten state, enabling homogeneous mixing and effective interfacial integration, and subsequently calcining the mixture at 300°C. Calcination preserved the monoclinic phase of VO2 and enhanced the composite's porosity through thermal decomposition of PVA and MCC, resulting in uniformly distributed active phases within black, granular adsorbents. X-ray diffraction (XRD) confirmed the sustained integrity of the crystalline monoclinic VO2 phase. X-ray photoelectron spectroscopy (XPS) detected the elements carbon, oxygen, sulfur, and vanadium, along with carbonized polyvinyl alcohol (PVA), all exhibiting distinct spectral characteristics that point to strong interfacial interactions within the composite. Scanning and transmission electron microscopy (SEM and TEM) revealed a porous, layered architecture with VO2 nanosheets uniformly distributed throughout the carbon-rich matrix. Continuous fixed-bed column experiments were conducted under varying operational parameters, including bed heights, initial methylene blue (MB) concentrations, and flow rates. The composite demonstrated exceptional adsorption efficiency, achieving a peak capacity of 47.7 mg g-1 under optimal conditions (bed height: 0.5cm, MB concentration: 20 mg L-1, flow rate: 1 mL min-1, column diameter: 1cm). Breakthrough curve analysis confirmed the validity of the BDST model for performance prediction (R2 > 0.9), whereas the Thomas and Yoon-Nelson models exhibited lower correlation coefficients (R2 < 0.9), suggesting reduced applicability under the tested parameters. Notably, the adsorbent retained over 83.6% of its initial adsorption capacity after four regeneration cycles, underscoring its structural resilience and recyclability. The adsorption mechanism for MB onto the synthesized composite was attributed to π-π interactions, hydrogen bonding, and electron donation from the amine groups of MB to vanadium sites. This study, for the first time, demonstrates the use of solid PVA in a solvent-free melt intercalation process to fabricate polymer-inorganic hybrid adsorbents, offering a novel and eco-friendly strategy for advanced wastewater treatment.

With the continuous enhancement of China's comprehensive national strength, an increasing number of domestic games have been noticed and loved by users. In the context of the integration of culture and tourism as the "vane" of tourism development, video games have become an important force to empower tourism with their huge young user groups and cultural communication potential. This paper takes the combination of video games and local tourism in recent years as the research object to discuss the current situation, influence and development trend of the integration of "tourism". Study found that the black mythology: the wu is empty, "" the god" and so on game through reduction, culture and so on, successfully attract players field clock in, injected new vitality to the tourism industry. However, the current "game plus culture tourism" mode has problems such as insufficient sustainability and shallow cultural integration due to excessive reliance on short-term popularity. For example, the linkage between "Guangyu" and Tianmen Mountain in Zhangjiajia has rapidly declined due to the lack of long-term content support, and the early linkage between "Glory of Kings" and Dunhuang only remained at the appearance level. In view of these problems, this paper proposes long-term content binding, technology enabling, cultural connotation mining and other improvement directions, aiming to promote the "game plus cultural tourism" from shallow marketing to ecological co-construction, to achieve the dual value of industrial win-win and cultural communication.

The integration of artificial intelligence (AI) within travel technology (TravelTech) and financial management systems (FinTech) is reshaping the global service ecosystem through automation, personalization, and predictive intelligence. This review explores the convergence of these two sectors, highlighting how AI enables intelligent travel planning, dynamic pricing, fraud detection, and automated financial processes. The study examines the evolution of data-driven systems that leverage machine learning, natural language processing, and predictive analytics to improve customer experience, operational efficiency, and decision-making. It further discusses the convergence of AI-enabled payment systems, customer profiling, and loyalty management frameworks that link travel behavior with financial transactions, thereby fostering unified digital ecosystems. Ethical and regulatory challenges such as data privacy, algorithmic bias, and model governance are addressed, emphasizing the need for transparency and accountability in AI deployment. Emerging trends including generative AI, digital twins, and autonomous systems are identified as transformative forces driving innovation across TravelTech and FinTech. The review concludes that the strategic adoption of AI requires strong governance, interoperability, and cross-sector collaboration to ensure sustainable, ethical, and scalable integration. Ultimately, the study provides a comprehensive framework for understanding how AI-driven convergence enhances value creation, efficiency, and resilience within the interconnected domains of travel and finance.

The rapid evolution of digital and interactive media has transformed approaches to heritage design, enabling new ways to preserve, interpret, and engage with cultural assets. This study systematically reviews technological trends in digital and interactive media that support heritage design, emphasizing their implications for graphic design, digital humanities, and cultural communication. A systematic literature review (SLR) was conducted following PRISMA guidelines, supported by PICOS and SPIDER frameworks to ensure methodological rigor and transparency. Relevant studies were retrieved from leading academic databases, including Scopus, Web of Science, and IEEE Xplore, with inclusion and exclusion criteria based on publication type, relevance, and thematic alignment. An initial pool of 87 records was identified, from which 40 studies were finally included after applying quality and eligibility screening. The synthesis identifies five dominant technological directions: immersive technologies (virtual and augmented reality), interactive installations, gamification, artificial intelligence-driven visualization, and participatory digital platforms. These approaches illustrate how heritage design is evolving from static documentation toward dynamic, user-centered, and interdisciplinary experiences. The findings also highlight challenges in accessibility, cultural sensitivity, and sustainable technological integration. Compared with previous reviews in digital heritage and media studies, this work contributes a more design-centered perspective by mapping the convergence between interactive engagement and computational innovation. The study’s novelty lies in its interdisciplinary synthesis that connects visual communication theory with technological practices, offering a conceptual foundation for future research in digital heritage design. Overall, this review clarifies current research trajectories, identifies underexplored gaps, and proposes directions for advancing inclusive and culturally responsive design strategies.

Background/Objectives: Depressive disorders are among the most prevalent mental illnesses worldwide. Digital health interventions offer potential to improve access, efficiency, and outcomes in depression care. However, their sustainable integration into routine clinical practice remains limited. This study explored individual, organizational, external and contextual factors influencing digital health interventions implementation from the perspective of health professionals. Methods: Semi-structured interviews with health professionals (n = 9) were analyzed using a hybrid qualitative approach. First, structuring content analysis following Kuckartz was applied to systematically code and categorize the transcripts. Second, the resulting codes were mapped onto four domains of the Consolidated Framework for Implementation Research (Outer Setting, Inner Setting, Process, and Characteristics of Individuals) to identify implementation-relevant barriers and facilitators. This combined approach ensured a transparent, theory-informed, and reproducible analysis of factors influencing digital health intervention implementation in depression care. Results: Key individual-level enablers included openness to innovation, motivation, and prior experience with digital tools. Organizational factors such as leadership support, designated facilitators, time, training, and IT infrastructure were critical. External factors included data protection, clear regulatory frameworks, reimbursement mechanisms, and scientific validation. Barriers involved limited digital skills, ambiguous responsibilities, and concerns about misuse or risks. Conclusions: The successful implementation of digital health interventions in depression care requires alignment with organizational structures, provider capabilities, and patient needs. Supportive leadership, tailored training, and clear external frameworks can enhance acceptance and sustainability. As complementary tools, digital health interventions can help optimize mental health services and improve patient outcomes.

This paper reveals profound obstacles to sustainable supply chain integration in Industry X.0 in the United Arab Emirates (UAE) by utilizing a hybrid Fuzzy Delphi-TOPSIS approach and enriching the viewpoints of 102 experts in oil/gas (45%), logistics (30%), government (15%), and academia (10%). The top obstacles are a lack of favorable leadership (Fuzzy Delphi Threshold (FDT), FDT = 0.82) and insufficiency of sustainability professionals (FDT = 0.82), with strategy prioritization training (Rank 1, Closeness Coefficient Index (cci) cci = 0.1255) and employee engagement (Rank 2, cci = 0.1499) being among the most important solutions as opposed to technological solutions. Most importantly, AI-related technologies had a low ranking of seventh place because of their lack of implementation, which proves that human capital enhancement is always prioritized before technological adaptation. The oil/gas industry values AI with respect to regulatory compliance commitments to emissions monitoring, whereas SMEs accentuate the problem of training because of the limited resources available to them, which also indicates the societal relevance of the concept of AI to social entrepreneurship and the blockchain-based transparency and access to green technologies. This study contributes (1) a decision-oriented framework bridging the traditional 2050 vision of the UAE and the realities it faces day to day, (2) empirical insights into the need for cultural principals within governance so as to prevent the so-called paperwork syndrome, and (3) a theoretical advancement that sees AI as an enhancer of human-centric methodologies. The conclusions provide policymakers with knowledge of the importance of the ability to contextualize investments in organizational culture prior to technology implementation in order to provide effective sustainability transitions.

Introduction Amid China’s rising global economic presence, the role of cultural dynamics in corporate communication is increasingly crucial, particularly in cross-cultural contexts. This study examines how Chinese cultural values are embedded within corporate communication practices of Chinese enterprises operating internationally, specifically within African markets. Methods This study employed a qualitative, cross-sectional research design, analyzing corporate communications at a single point in time to capture a contemporary snapshot of discursive practices. The study utilized content analysis and discourse analysis of textual data collected from the official English-language websites of 200 Chinese corporations operating across diverse sectors in Africa. This primary dataset was complemented by illustrative corporate social responsibility (CSR) cases drawn from the Sino-Africa Cooperation: Corporate Social Responsibility Guide (2021) to provide in-depth, practical examples. Results The analysis identified three prominent and interwoven cultural values guiding the corporate communications of Chinese corporations: embracing harmony through collectivism, pursuing excellence through continuous improvement, and practicing integrity with responsibility. These values are consistently articulated in corporate philosophy statements and CSR narratives and are exemplified through case studies of major firms such as Huawei, China Communications Construction Company, and the TEDA Suez Eco-Industrial Park, which emphasize mutual benefit, sustainability, and deep community integration. Discussion The findings demonstrate that these culturally informed communication practices both reflect China’s broader socio-economic initiatives, such as the Belt and Road Initiative, and actively reproduce alternative, non-Western development paradigms. The study further illuminates the strategic navigation by Chinese firms between presenting their core values as universal business principles and framing them as unique expressions of Chinese cultural identity to build legitimacy with diverse international stakeholders. Contribution This research provides an empirically grounded, non-Western perspective on how cultural values are strategically deployed in corporate discourse. It also offers timely, practical insights for international business leaders, policymakers, and other stakeholders on engaging with Chinese companies, underscoring the central role that cultural values play in shaping contemporary global business interactions.

An investigation evaluates the way India’s educational framework changed to support social innovation along with sustainable action. The educational system in India requires integration of sustainability to develop responsible citizens while teaching them problem-solving abilities which will address emerging environmental and social-economic challenges. The study investigates current deficits together with obstacles and successful strategies which exist when integrating sustainability principles with social innovation throughout India’s educational framework and teaching structures. The study used qualitative methods that combined interviews with specific guidelines as well as case studies and policy investigations. Multiple education professionals and policy makers and school students participated in this research which included institutions ranging from government to private schools to achieve complete understanding about sustainability education. The researchers used thematic analysis to explore how sustainability is integrated into the curriculum, along with the role of teacher training, digital learning tools, and institutional policies in shaping education for social innovation. The study reveals significant challenges that exist in the way India puts sustainability education into practice. The National Education Policy 2020 introduces skill-based environmental learning yet its actual implementation continues to remain variable. Research investigates sustainability education in an impact study of India which develops functional methods to minimize program implementation problems. This study brings together real-life insights about sustainability education from educators and students as well as policymakers because it moves beyond traditional policy review research. The research results will create a strategic approach that properly integrates sustainability teachings into Indian education leading to skilled graduates who handle environmental and social issues.

Perspectives on Climate Change and Sustainability Education in the Interprofessional Setting: A Single-Institution Experience.

This study aims to explore the role of Artificial Intelligence (AI) in enhancing Arabic language proficiency among students of Islamic universities in Indonesia within the context of rapid digital transformation. The research highlights the urgency of adopting modern educational tools to improve Arabic learning outcomes, especially in higher education environments where Arabic serves as the primary language for Islamic sciences. Employing a descriptive-analytical method through an extensive literature review, the study examines key AI applications in Arabic language learning, such as chatbots, machine translation, speech recognition, and adaptive assessment platforms. The findings indicate that AI can increase student engagement, provide personalized linguistic support tailored to individual needs, and foster intrinsic motivation. Moreover, AI technologies facilitate the acquisition of essential language skills—listening, reading, grammar, and writing—within a dynamic academic environment. However, challenges remain regarding digital infrastructure and limited specialized training for faculty members. The study recommends systematic and sustainable integration of AI into Arabic language programs at Islamic universities, accompanied by teacher training workshops and policy updates aligned with digital era demands.

Artificial intelligence (AI) offers significant potential to enhance writing instruction in primary education. However, its sustained adoption by English language teachers remains insufficiently understood. This study examines the factors influencing teachers’ acceptance and continued use of AI-powered learner corpora, drawing on the Technology Acceptance Model (TAM) and Expectation Confirmation Model (ECM). A structured questionnaire was administered to 355 primary school English teachers in Malaysia to assess variables related to external support (e.g., facilitating conditions, teacher-learner interaction), individual characteristics (e.g., perceived self-efficacy, expectancy effects, growth mindset, interest) and technology perceptions (e.g., perceived ease of use, perceived usefulness, satisfaction, continuance intention). Data were analyzed using exploratory and confirmatory factor analysis, followed by Structural Equation Modeling. Results highlight perceived self-efficacy and interest as key predictors of perceived usefulness and continuance intention. They underscored the role of intrinsic motivation. In contrast, facilitating conditions did not significantly affect perceived ease of use, possibly due to increased digital familiarity among teachers. These findings validate the applicability of TAM and ECM in the primary education context and offer practical insights for designing AI tools that align with teachers’ pedagogical needs, enhance user experience and support the sustainable integration of AI in writing instruction.Supplementary InformationThe online version contains supplementary material available at 10.1038/s41598-025-21205-0.

This article analyzes the theoretical renewal of the development concept following the failure of the economic models of the 1960s and 1970s. Drawing on the conceptual frameworks of Gilbert Rist (2007) regarding the deconstruction of development paradigms and Amartya Sen (1999) concerning human capabilities, we demonstrate how the integration of environmental sustainability and humanism addresses contemporary challenges. Our approach combines the historical analysis of economic crises with the study of the emergence of a new North American economic sociology (Granovetter, 1985; Zelizer, 2011), which reintegrates social variables into development models. The results indicate that this conceptual renewal makes it possible to move beyond purely quantitative approaches to growth, proposing instead a multidimensional framework anchored in human well-being and ecological resilience.

Abstract – This review explores the integration of digital innovation and sustainability within the construction industry, highlighting key technological advancements that are reshaping traditional practices. Technologies such as Building Information Modeling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), digital twins, 3D printing, robotics, drones, and blockchain have emerged as pivotal tools to enhance project efficiency, safety, and environmental responsibility. The review underscores the benefits of digital transformation, including improved data management, automation, waste reduction, energy efficiency, and lifecycle assessment, while identifying challenges related to adoption barriers, interoperability, and skills gaps. Through comprehensive analysis of recent literature, this study offers insight into how digital solutions contribute to sustainable construction by optimizing resource use, reducing carbon footprints, and fostering collaboration among stakeholders. The results highlight the need for a well-planned approach, continuous workforce training, and collaboration across different sectors to fully harness digital technologies for promoting sustainable construction. This summary serves as a basis for future studies and the development of practical models aimed at combining innovation and sustainability within the construction industry. Keywords: digital innovation, sustainability, construction industry, BIM, IoT, artificial intelligence, digital twins, 3D printing, robotics, blockchain, energy efficiency