Search Results (463)

This Perspective synthesizes recent (2023–2025) progress in predicting extreme environmental values by combining empirical formulations, physics-based simulation outputs, and sensor-network data. We argue that hybrid approaches—spanning physics-informed machine learning, digital/operational twins, and edge/embedded AI—can deliver faster and more robust maxima estimates than standalone CFD or purely data-driven models, particularly for urban air quality and wind-energy applications. We distill lessons from cross-domain case studies and highlight five open challenges (uncertainty quantification, reproducibility and benchmarks, sensor layout optimization, real-time inference at the edge, and trustworthy model governance). Building on these, we propose a 2025–2030 research agenda: (i) standardized, open benchmarks with sensor–CFD pairs; (ii) physics-informed learners for extremes; (iii) adaptive source-term estimation pipelines; (iv) lightweight inference for embedded sensing; (v) interoperable digital-twin workflows; and (vi) reporting standards for uncertainty and ethics. The goal is a pragmatic path that couples scientific validity with deployability in operational environments. This Perspective is intended for researchers and practitioners in environmental sensing, urban dispersion, and renewable energy who seek actionable, cross-disciplinary directions for the next wave of extreme-value prediction. For instance, in validation studies using CFD-RANS and sensor data, the proposed hybrid models achieved prediction accuracies for peak pollutant concentrations and wind speeds within ~90–95% of high-fidelity simulations, with a computational cost reduction of over 80%. These results underscore the practical viability of the approach for operational use cases such as urban air quality alerts and wind farm micro-siting. Full article

A primary objective of the European Green Deal is the shift towards a sustainable and circular economy, necessitating profound alterations in production and consumption practices. The Digital Product Passport (DPP) is central to this transformation, fulfilling the information requirements and transparency expectations of the Ecodesign Regulation for Sustainable Products (ESPR) and facilitating the effective application of Extended Producer Responsibility (EPR) principles. This research presents a concept-focused bibliometric analysis of the evolving academic landscape of digital product passports (DPPs) from 2021 to 2025, based on publications indexed in Scopus and Web of Science (WoS), analyzed with the R-based Biblioshiny package. Key findings reveal that research predominantly focuses on digital product passports and the circular economy, with rapid growth in DPP publications driven by regulatory mandates under the European Green Deal. Geographically, Germany and Austria emerge as leading contributors, while thematically, circular economy and sustainability dominate the discourse. However, research gaps persist in the implementation of technology and its cross-disciplinary applications. The thematic and structural classification of existing knowledge is crucial for conceptual clarity and addressing research gaps in DPP literature. This research is expected to provide a foundational roadmap for future research on sustainable production and digital traceability ecosystems. Full article

With the continuous increase in the number of university students and the improvement of living standards, energy waste in universities has become a significant challenge, hindering progress toward Carbon Peaking and Carbon Neutrality (CPCN) goals. As universities serve as the final educational stage before students enter society, effectively integrating disciplinary research with energy-saving education has become a crucial topic in today’s world. The evolutionary game analysis reveals that three key factors—the severity of resource waste, the reputational benefits from sustainable education, and the enhancement of students’ self-quality—significantly drive the game equilibrium toward a positive outcome. Conversely, university indifference to energy-saving education and high behavioral constraint costs for students lead the equilibrium toward a negative state. Based on this, this paper puts forward corresponding suggestions to promote the sustainable development of universities and help realize the CPCN goals. These suggestions are aimed at enhancing the importance of energy-saving education in universities, optimizing energy-saving management strategies and encouraging students to actively participate in energy-saving behavior, to provide practical reference for universities to promote social sustainable development. Full article

During the COVID-19 pandemic, migrant workers in Singapore endured one of the longest and most stringent periods of confinement globally. Segregationist policies were intensified as the state imposed strict disciplinary regimes over workers’ mobility and everyday lives, framed as public health interventions but functioning also as labor discipline and social control. This study asks: how did migrant workers experience, narrate, and endure life under such conditions of confinement? Drawing on sixteen in-depth interviews with South Asian male construction workers, conducted in dormitories and makeshift worksites, we adopt a grounded theory approach to elicit contextually grounded accounts of life under lockdown. The analysis highlights three interrelated themes: emotional regulation, migrant masculinity and the gendered politics of endurance, and digital connectivity as an affective infrastructure. These practices enabled workers to carve out agentic spaces within structures designed to render them passive. Our findings reveal that even amid fear, surveillance, overcrowding, and economic precarity, workers combined stoicism, transnational kinship ties, religious routines, and solidarity to sustain resilience. While initially guided by Foucauldian notions of surveillance and biopower, the study advances a counter-Foucauldian insight: that institutional control is never total, and migrant narratives of resilience offer nuanced understandings of agency under constrain. Full article

The integration of STEAM education is widely recognized as a pathway to foster creativity, problem-solving, and collaboration, yet its implementation remains fragmented due to systemic and organizational barriers. This study examines educators’ perspectives on STEAM by focusing on three key questions: their attitudes toward STEAM, the challenges and needs they report, and how these vary by professional development experience, disciplinary background, and teaching experience. Drawing on a large-scale survey of in-service educators, the analysis shows that teachers hold strongly positive attitudes across dimensions of application, higher-order thinking, motivation, and collaboration. However, these attitudes are accompanied by substantial needs, particularly in curriculum guidance, instructional time, resource availability, and assessment frameworks. Professional development was found to strengthen educators’ enthusiasm but did not reduce broader systemic challenges, while disciplinary background and years of experience shaped specific needs and perceptions. The findings highlight that teacher motivation is a necessary but insufficient condition for meaningful STEAM implementation. Addressing the gap between vision and practice requires a multi-level approach that integrates competence-based professional development with structural reforms in curriculum, leadership, and institutional culture. Full article

Human–machine trust has shifted over the past three decades from trust in automation to trust in AI, while research paradigms, disciplines, and problem spaces have expanded. Centered on AI in healthcare, this narrative review offers a longitudinal synthesis that traces and compares phase-specific changes in theory and method, providing design guidance for human-AI systems at different stages of maturity. From a cross-disciplinary view, we introduce an Interdisciplinary Human-AI Trust Research (I-HATR) framework that aligns explainable AI (XAI) with human–computer interaction/human factors engineering (HCI/HFE). We distill three core categories of determinants of human-AI trust in healthcare, user characteristics, AI system attributes, and contextual factors, and summarize the main measurement families and their evolution from self-report to behavioral and psychophysiological approaches, with growing use of multimodal and dynamic evaluation. Finally, we outline key trends, opportunities, and practical challenges to support the development of human-centered, trustworthy AI in healthcare, emphasizing the need to bridge actual trustworthiness and perceived trust through shared metrics, uncertainty communication, and trust calibration. Full article

The arts sector—museums, theaters, and orchestras—in the United States and Europe faces increasing financial and operational challenges, from declining attendance to reduced public and private funding. While these organizations have historically pursued their goals independently, their future may depend on fostering collaboration across these traditionally siloed institutions. By pooling resources, expertise, and, most importantly, audiences, cross-disciplinary partnerships can amplify the impact of cultural institutions while addressing shared challenges. For instance, museums and performing arts organizations could collaborate on immersive experiences that integrate visual and performing arts, attracting a broader and more diverse audience base. Similarly, joint programming and shared digital platforms could reduce overhead costs and expand outreach. These partnerships also enable the arts to present a unified case for public and philanthropic support, leading to greater collective societal impact. Drawing on successful examples of cross-sector collaboration, this paper explores practical strategies for fostering synergies among arts institutions. By working together, the arts can not only enhance their resilience in a challenging environment but also redefine how cultural experiences are created and consumed, ensuring their relevance and vibrancy for future generations. Full article

Educational institutions face complex challenges when allocating limited teaching resources to specialized seminars, where budget, capacity, and balanced disciplinary representation must all be satisfied simultaneously. We address this for the first time in the educational domain by formulating the teacher seminar selection problem as a multi-dimensional knapsack variant with category-specific benefit multipliers. To solve it, we design a constraint-aware genetic algorithm that incorporates smart initialization, category-sensitive operators, adaptive penalties, and targeted repair mechanisms. In experiments on a realistic dataset representing multiple academic categories, our method achieved an 11.5% improvement in solution quality compared to the best constraint-aware greedy baseline while maintaining perfect constraint satisfaction (100% feasibility) vs. 0–30% for baseline methods. Statistical tests confirmed significant and practically meaningful advantages. For comprehensive benchmarking, we also implemented binary particle swarm optimization (PSO) and Tabu Search (TS) solvers with standard parameterizations. While PSO consistently produced feasible solutions with high budget utilization, its optimization quality was substantially lower than that of the GA. Notably, Tabu Search achieved the highest performance, with a mean fitness of 1557.3 compared to GA’s 1533.2, demonstrating that memory-based local search can be highly competitive for this problem structure. These findings show that metaheuristic approaches, particularly those integrating constraint-awareness into evolutionary or memory-based search, provide effective, scalable decision-support frameworks for complex, multi-constraint educational resource allocation. Full article

Environmental education plays a vital role in cultivating environmentally responsible citizens. Although teachers are central to environmental education, their pedagogical practices remain under-researched. Thus, this study targeted to systematically review empirical research on environmental education teaching practices to synthesize findings and identify gaps. 2273 papers between 2015 and 2024 from Teacher Reference Center, ERIC, and GreenFILE were filtered to cover studies focused on environmental education teaching practices by teachers under formal education. To interpret trends of discoveries, we propose an expanded Technological Pedagogical Content Knowledge framework—TPAC+E—by incorporating environmental knowledge alongside existing dimensions. Majority of 111 peer-reviewed articles employed case study designs and interviews, with an increasing emphasis on digital technologies in the post-COVID era. Common teaching practices identified include cross-disciplinary integration, outdoor learning, participatory approaches, and the promotion of critical thinking and empathy. However, widespread reliance on textbooks and teacher-centered instruction persists. The review also highlights significant research gaps in primary education and in underrepresented regions such as the Global South and East Asia. We advocate for more interdisciplinary and context-specific approaches, along with enhanced support for teacher training and curriculum development. This review offers both practical and conceptual insights to advance equitable and effective environmental education worldwide. Full article

Background: Themanagement of occupational respiratory diseases (ORDs) requires a multidisciplinary approach, yet collaboration between pulmonologists and occupational physicians is often fragmented, potentially compromising patient outcomes. This study aimed to systematically compare the management strategies for ORDs between these two specialties in Italy to identify gaps and opportunities for integration. Methods: A cross-sectional survey was conducted using a structured 12-item questionnaire distributed to board-certified pulmonologists and occupational physicians across Italy. The questionnaire assessed diagnostic pathways, therapeutic strategies, preventive measures, and patterns of interdisciplinary collaboration. A total of 102 specialists (51 pulmonologists and 51 occupational physicians) completed the survey. Comparative analyses were performed using Pearson’s ${\chi }^2$ tests. Results: Significant divergences in practice were identified. Pulmonologists primarily focused on clinical diagnosis, utilizing pulmonary function tests (34.3%) and imaging (11.8%), and favored pharmacotherapy (27.5%) as the first-line treatment, in alignment with clinical guidelines. Conversely, occupational physicians prioritized detailed occupational and exposure histories (15.7%) and preventive interventions aimed at exposure reduction (15.7%). While both groups acknowledged the importance of collaboration, a substantial number reported that it occurred only occasionally (17.6% of pulmonologists and 12.7% of occupational physicians), indicating a significant gap in integrated care. Shared barriers included poor patient adherence and limited access to advanced diagnostic tools. Conclusions: While sharing a common foundation in diagnostic and preventive principles, pulmonologists and occupational physicians in Italy operate with distinct, complementary approaches that remain insufficiently integrated. The observed fragmentation in diagnostic and therapeutic pathways underscores an urgent need for shared national guidelines, structured interdisciplinary training, and formalized communication protocols. Bridging this disciplinary divide is essential to delivering holistic care, optimizing worker health, and preserving work ability. Full article

Biotechnological applications in animals are increasingly developed for use in agriculture and aquaculture to tackle breeding challenges in animal production. By examining two case studies of genetically modified (GM) farmed animals relevant to the European Union, slick-haired cattle and growth-enhanced carp, we highlight the challenges for environmental risk assessment and discuss available assessment approaches to address broader societal concerns. We find that the existing guidance for environmental risk assessment of GM animals available in the European Union faces several challenges. Assessing risks of GM animals in agriculture and aquaculture requires consideration of the farming systems of these animals. In addition, we find that there is a lack of guidance and practical implementation to address wider issues, including cultural, societal, ethical, and socio-economic issues, as well as animal health and welfare issues, related to GM farmed animals. We propose using existing assessment frameworks to address the sustainability of GM farmed animals beyond environmental risk assessment. Sustainability assessment approaches should also address potential farm-level sustainability claims of GM animal applications. We note that issues related to animal health and welfare are cross-disciplinary topics that require special attention when commercializing GM farmed animals. We recommend developing a comprehensive framework, including risk assessment, sustainability assessment, and technology assessment, that will enable policymakers to better anticipate and address the societal, legal, ethical, and governance issues associated with emerging biotechnologies in farmed animals. Full article

Recent scholarship highlights growing interest in the relationship between cultural heritage and sustainable development. However, existing research predominantly focuses on pluralistic governance systems in the West, which limits applicability in authoritarian contexts and leaves evaluation mechanisms underdeveloped. Addressing this gap, this paper proposes the Evidence-Based Disciplinary Assessment (EBDA) approach, a guiding framework that integrates research evidence, historical narratives, and legacies to broaden heritage recognition across five dimensions: cultural, social, environmental, economic, and institutional-governance. The framework demonstrates how disciplinary knowledge valuation can contribute to sustainable heritage in historic art districts. We digitally map spatial clusters of 1347 artists’ residences and identify neighborhoods central to Shanghai’s Republican-period art scene. Through case studies of two existing neighborhoods and qualitative interviews with local officials, we show how evidence-based disciplinary narratives foster neighborhood pride, support adaptive reuse, attract cultural tourism, and align with governance frameworks to promote long-term preservation. Nonetheless, EBDA has limited relevance for social sustainability, particularly in enabling community-led conservation and supporting emerging artists. This hybrid model contributes to both theoretical debates and practical strategies for historic district development. Full article

Nature-Based Solutions (NBSs) are increasingly financed in urban, regional, and national contexts due to their proven capacity to reduce climate risks and deliver multiple co-benefits. Several challenges affect the successful implementation and long-term maintenance of NBSs, especially in climate-sensitive and fragile urban territories (e.g., the Mediterranean basin), characterized by intense urbanization, environmental vulnerability, socio-economic disparities, and fragmented governance. Key barriers include difficulties in economically evaluating NBS benefits, uncertainty about their effectiveness under changing climate conditions, and implementing multi-functional projects with an interdisciplinary perspective. To address these challenges, a participatory process was conducted involving three thematic working tables focused on the following: (1) economic evaluation, (2) co-design for climate resilience, and (3) multi-functionality and disciplinary integration. All groups applied a shared SWOT (Strengths, Weaknesses, Opportunities, Threats) methodology structured in four phases: (i) individual reflection and collective brainstorming; (ii) collaborative SWOT matrix development; (iii) roadmaps formulation; and (iv) narrative synthesis and submission. Grounded in their knowledge and practical experiences, stakeholders identified operational barriers and strategic advantages to identify research gaps and designing adaptive, inclusive, and context-sensitive NBS roadmaps. Although the stakeholders were primarily based in Northern Italy, they also brought national and international experience, making the findings relevant and transferable to other urban areas in the Mediterranean and Europe, facing similar socio-environmental challenges and governance issues. Thus, the study supports more effective planning and governance in comparable contexts, emphasizing integrated and flexible approaches to address urban fragility and optimize projects governance and management. Full article

Generative artificial intelligence (GenAI) is reshaping science, technology, engineering, and mathematics (STEM) education by offering new strategies to address persistent challenges in equity, access, and instructional capacity—particularly within Hispanic-Serving Institutions (HSIs). This review documents a faculty-led, interdisciplinary initiative at the University of La Verne (ULV), an HSI in Southern California, to explore GenAI’s integration across biology, chemistry, mathematics, and physics. Adopting an exploratory qualitative design, this study synthesizes faculty-authored vignettes with peer-reviewed literature to examine how GenAI is being piloted as a scaffold for inclusive pedagogy. Across disciplines, faculty-reported benefits such as simplifying complex content, enhancing multilingual comprehension, and expanding access to early-stage research and technical writing. At the same time, limitations—including factual inaccuracies, algorithmic bias, and student over-reliance—underscore the importance of embedding critical AI literacy and ethical reflection into instruction. The findings highlight equity-driven strategies that position GenAI as a complement, not a substitute, for disciplinary expertise and culturally responsive pedagogy. By documenting diverse, practice-based applications, this review provides a flexible framework for integrating GenAI ethically and inclusively into undergraduate STEM instruction. The insights extend beyond HSIs, offering actionable pathways for other minority-serving and resource-constrained institutions. Full article

The intensified exposure to high temperature in urban areas, resulting from the combination of heat waves and the urban heat island (UHI) effect, necessitates a deeper understanding of the climate–health relationship. This knowledge directly influences the strategies employed by policy makers and urban planners in their efforts to regenerate cities and protect their population. Nature-based solutions and the widely accepted 15 min city model, characterized by a polycentric structure, should drive the implementation of effective adaptation policies, especially given the persistent delay in mitigation efforts. However, it is less clear whether current or future policies are adequately structured to broadly address the complex forms of social vulnerability. A prime example of this complexity is the demographic shift observed since the mid-20th century, characterized by a relative increase in the elderly population, and a shrinking youth demographic. While extensive literature addresses the physiological impacts of heat wave on human health, evidence regarding the neuro-psychological and cognitive implications for elderly individuals, who frequently suffer from chronic diseases, remains less comprehensive and more fragmented. The purpose of this concise review is to emphasize that crucial findings on the climate–health relationship, particularly concerning the elderly, have often been developed within disciplinary silos. The lack of comprehensive interdisciplinary integration coupled with an incomplete understanding of the full spectrum of vulnerabilities (encompassing both physiological and cognitive) may lead to urban policies that are egalitarian in principle but fail to achieve true equity in practice. This review aims to bridge this gap by highlighting the need for a more integrated approach to urban policy and regeneration. Full article