Search Results (1,003)

This paper examines how artificial intelligence can support sustainability assessment in cultural industries, using national film industries as a test case. The Film Industry Sustainability Index (FISI) is introduced as a composite indicator covering cultural diversity, economic resilience, and Sustainable Development Goal (SDG) alignment for 42 national economies from 2005 to 2023. Knowledge-Enhanced Mamba (KE-Mamba), a selective state-space forecasting model, is then proposed to combine annual panel indicators with country-level film-industry knowledge graph (KG) embeddings and large language model (LLM)-derived screenplay-oriented narrative proxies from film synopses. To reduce factual errors in title-level narrative scoring, the LLM is anchored to verified United Nations Educational, Scientific and Cultural Organization (UNESCO) records and the European Audiovisual Observatory’s LUMIERE film-admissions database using rank-one model editing (ROME). On the 2020–2023 held-out test period, KE-Mamba achieves a composite FISI mean absolute error (MAE) of 0.0389, a mean absolute percentage error (MAPE) of 5.61%, and an $R^2$ of 0.934, outperforming autoregressive integrated moving average (ARIMA), tree-based, long short-term memory (LSTM), and base Mamba baselines. Additional robustness checks using a pre-pandemic split, two-way fixed-effects panel regression, alternative FISI weighting schemes, KG embedding ablations, and human validation of LLM narrative scores support the reliability of the proposed framework. Policy simulations are interpreted as model-based projected associations rather than causal estimates. The results show that knowledge-enhanced sequence models can provide transparent forecasting support for sustainable cultural-industry policy. Full article

Industry 5.0, deploying artificial intelligence (AI) at its core, reframes industrial evolution from a predominantly technology- and efficiency-driven innovation model toward a virtuously human-centric, sustainable, and resilient model of value creation by organizations. This review paper, based on an interdisciplinary literature review, explores how AI, within the Industry 5.0 paradigm, reshapes economic logics, the understanding of information asymmetry, and sustainability trajectories, and the implications for entrepreneurial strategy and business model innovation, which demand the development of a new form of organizational intelligence. While the literature suggests that AI, when deployed within a mature Industry 5.0 framework, could generate synergistic economic and sustainability values through circular, human-centered, and digitally augmented systems, human–AI co-intelligence gains are contingent on insights that address systems quality, reskilling, ethics, and reorienting resources from overly short-term profit maximization toward wisdom for long-term socio-ecological, climate resilience, and ESG performance. This study introduces a framework for tackling organizational sustainability dynamics, anticipating the emergence of new industries and the retransformation of enduring ones amid creative destruction in the AI era. Future studies to fill knowledge gaps and implications for human competencies that will enhance organizational intelligence are articulated. Full article

Italian “Agricultural Engineering”, while evolving toward the broader, interdisciplinary field of “Biosystems Engineering” (which also includes the study of biomasses/biomaterials, field and forest mechanization in difficult contexts and advanced post-harvest agri-food technologies), suffers from a structural critical issue due to its historical academic placement within the Agricultural rather than the Engineering departments. This positioning limits the depth of the technical subjects proposed to the students and does not facilitate the necessary collaboration with core engineering disciplines in research and didactics activities, thereby potentially slowing innovation in crucial fields like agro-bio-energies, precision agriculture and field robotics. To address this misalignment and foster inter-departmental synergy, this study proposes adopting the Contamination Lab (C-Lab) model as the archetype of a possible framework of academic and professional networking involving and centered on Agricultural Engineering. C-Labs (transdisciplinary platforms proposed by the Italian Ministry of University and Research) function as experiential laboratories, gathering students from Engineering, Agronomy, Computer Science, and Economics to collaboratively develop solutions to real-world challenges posed by industry stakeholders. The integration of a permanent, thematic C-Lab focused on agri-forestry and food machinery, supported by methodologies for enhancing creativity in technical fields, such as design thinking, represents an effective (and necessary) strategy to give Agricultural Engineering greater visibility in the Italian (and international) scenario and, prospectively, relocate it to the center of any research involving the technological and technical aspects of agriculture, forestry and food production. It is concluded that this initiative can serve as an institutional bridge for hybrid training, which is essential for aligning academic competencies with the growing demands for innovation and multidisciplinary professionalism in the national agri-food tech sector. Full article

Background: The rapid advancement of generative artificial intelligence is transforming music composition from an exclusively human-centric activity into a hybrid human–algorithmic domain. Despite technological progress and growing commercial integration, consumer acceptance of AI-generated music remains empirically underexplored. Methods: This study formulates and empirically evaluates a multidimensional theoretical model integrating nine frameworks—including UTAUT2, parasocial interaction theory, anthropomorphism theory, authenticity theory, and innovation resistance theory—through a quantitative cross-sectional survey of 466 young adults aged 17–28. Confirmatory factor analysis and multiple regression analysis (with robust standard errors) were employed. Results: The model explained 63.6% of the variance in behavioral intention (R² = 0.636). Five constructs emerged as significant predictors: hedonic motivation (β = 0.136, p = 0.017), parasocial relationships (β = 0.121, p = 0.002), social influence (β = 0.126, p = 0.002), performance expectancy (β = 0.102, p = 0.019), and innovation resistance (β = −0.089, p = 0.029). Authenticity concerns, ethical AI concerns, anthropomorphic perceptions, and technological substitution fears were non-significant in the multivariate model. Conclusions: Young consumers’ acceptance of AI-generated music is primarily driven by experiential, social, and relational factors rather than ethico-cultural concerns. These findings have substantive implications for creative industries navigating algorithmic cultural production. Full article

The current need for thermal insulation building materials has led to the development of new materials and technologies, which are necessary to reduce carbon emissions. Lignocellulose materials are promising options for thermal insulation materials in construction, offering appropriate mechanical and environmental properties. While recent reviews focus primarily on material properties, a critical gap remains in the technical analysis of processing parameters and the comparative evaluation of alternative fabrication methods. This study provides a semi-systematic overview of manufacturing processes for lignocellulose-based thermal insulation, highlighting key production methods at the development stage: the most common hot pressing and compression molding, as well as less used hot drying, air-laid, wet-laid, needle-punching, and biological fabrication (mycelium-based). The results show that there is no single ideal method due to a fundamental trade-off: hot pressing provides superior mechanical strength, mycelium and needle-punching provide optimal thermal insulation, while room-temperature drying and blow-molding methods are the most environmentally friendly due to their minimal energy consumption. The key factors determining material performance are the material density, size, and type of raw material, which are strictly regulated by processing parameters. Full article

This conceptual integrative review and theoretical proposal investigates how the functional architecture of Sternberg’s Triarchic Theory of Intelligence is reconfigured when the framework is translocated from low-risk academic settings, in which analytical intelligence predominates, to high-stakes professional environments characterised by extreme cognitive load, temporal compression, irreversible consequences, and multicultural team dynamics. To construct a mechanistic account of this translocation, we integrate the triarchic framework with three complementary cognitive–ecological traditions—Cognitive Load Theory, the three-level model of Situational Awareness, and the distributed-cognition tradition—and we use the maritime industry as a paradigmatic case where communication failures are directly implicated in catastrophic outcomes. On this basis we propose a Context-Dependent Reweighting Model of Successful Intelligence which maps how, under high-stakes conditions, practical intelligence shifts from a supporting role to a central, integrative function that operates in part through distributed cognitive systems, while creative intelligence assumes elevated weight for adaptive problem-solving when standardised procedures fail. We treat this reweighting as a theoretical proposition supported by convergent but heterogeneous secondary evidence, and we frame the cross-domain extension to aviation, emergency medicine, military operations, and other safety-critical sectors as theoretically plausible parallels and hypotheses for future empirical testing rather than as established empirical claims. The review concludes by articulating implications for intelligence research, proposing a pedagogical framework operationalised through a Triarchic Maritime ESP curriculum, and explicitly delimiting the boundary conditions and limitations of the present contribution. Full article

Generative AI tools are increasingly being adopted in education, where they function as collaborators that can provide feedback, suggest alternatives, and scaffold learning. In this paper, I conducted an autoethnographic study by examining my experience as a teacher-researcher integrating generative AI tools as a More Knowledgeable Other (MKO) within the context of game design education. Drawing on Vygotsky’s sociocultural theory, this study documents how generative AI can facilitate creative learning by extending learners’ capacity to ideate, iterate, and reflect on their design processes. This study further reflects on instructional practices and observations of learners engaging with AI-supported creative activities across workshops and training programs. My reflections reveal that generative AI tools enhance feedback loops, accelerate prototyping, and democratize access to mentorship by providing context-aware guidance. However, they also introduce challenges related to illusions of competence, a lack of internalization, and reduced iteration design depth. Future work will explore structured pedagogical models that balance human mentorship with AI-assisted guidance, aiming to establish ethical, adaptive, and creativity-centered frameworks for using generative AI in game design education. Through this lens, this study contributes to an emerging understanding of AI-enabled learning partnerships and their implications for cultivating innovation and talent in the creative industries. Full article

The Dominican Constanza de Castilla’s exceptional liturgical book, her Libro de devociones y oficios [Book of Devotions and Offices], served devotional and practical purposes in the convent of Santo Domingo el Real in Madrid. The article begins by examining Dominican nuns’ participation in Corpus Christi processions. It then examines Constanza’s liturgy for the Mass of the Incarnation (25 March). A study of liturgical calendars and offices both prior to and contemporary to Constanza reveals that there are no Castilian offices given the title ‘Incarnation of Our Lord’. Comparison of the contents of the office with the same liturgies reveals none with the exact same antiphons or readings. However, Constanza’s choice of the name ‘office of the Incarnation’ is matched to a similar wording in the account book of Franciscan nuns. They also give the name day of the Incarnation to the feast they celebrate on 25 March. The article also summarizes the theological theme of kenosis, Christ’s self-abasement, apparent elsewhere in the Book of Devotions and Offices and which is touched upon in the office of the Incarnation. Finally, it examines the links between Thomas Aquinas’s thinking on the Virgin Birth and where that is echoed by Constanza. This article concludes that, for this short office, Constanza’s Mass shows no signs of having been copied from existing offices, always with the proviso that what remains of fourteenth and fifteenth century liturgies provides an imperfect picture. Full article

Entrepreneurship education in film and the creative industries refers to a set of pedagogical approaches, curricula, and institutional frameworks designed to foster entrepreneurial mindsets, competencies, and practices among students and professionals operating within the cultural and creative industries (CCIs). Going well beyond conventional business training, entrepreneurship education in this context encourages learners to identify opportunities for value creation—cultural, social, and economic—to develop sustainable modes of creative practice, and to engage critically with the markets, institutions, and communities that constitute the contemporary creative economy. Within film studies and adjacent disciplines such as media production, design, music, and the visual arts, entrepreneurship education plays an increasingly prominent role in preparing graduates for careers characterised by self-employment, project-based work, portfolio careers, and the continuous negotiation of artistic autonomy with the imperatives of professional sustainability. This entry aims to compile and organise existing knowledge on entrepreneurship education as it applies to the CCIs, with particular attention to the film and audiovisual sector, drawing on academic literature, European policy frameworks, and empirical industry evidence. The entry uses a narrative literature review approach, synthesising scholarly works from the fields of education, cultural economics, and creative industry research alongside institutional documentation and policy instruments, in order to provide a systematic and accessible account of the current state of knowledge in this area. Full article

Studying carbonate breccias enhances our understanding of various geological processes. Fieldwork in the vicinity of the Sakhray Massif in the Western Caucasus (western edge of the Caucasus Mountains) allowed us to discover a peculiar layer of carbonate breccia in the monotonous succession of Lower Triassic platy limestones. The lithological peculiarities of this breccia and the hosting rocks were examined in the field, as well as in polished slabs and thin sections. The results show that the breccia consists of a chaotic mass of chiefly angular clasts of entirely different limestones with abundant fossil debris and a micritic matrix similar to the hosting rocks but bearing siliciclastic debris. The age of the carbonate breccia is the same as that of the hosting rocks, i.e., it is late Induan–early Olenekian (Early Triassic), but the clasts are attributed to upper Changhsingian (Upper Permian) limestones (also reefal). It is proposed that these clasts were created by erosion in a subaerial environment, after which they were transported from a land mass to a deep sea. Apparently, extraordinary geological events (e.g., severe storms, earthquakes, or tsunamis) triggered submarine debris flows on a steep slope. From a practical point of view, the reported discovery extends the vision of the geological heritage of this part of the Western Caucasus. Full article

With increasingly frequent extreme rainfall and high-density urban development, urban pluvial flooding has become a major challenge to public safety in coastal built-up areas. Existing studies have mainly focused on hydrological and engineering factors such as rainfall, drainage, and topography, while paying limited attention to the heterogeneity of the micro-scale built environment around flood-risk sites and its statistical associations with residents’ average psychological responses. Taking 78 flood-risk buffers in the inland built-up area of Zhuhai as the study area, this study develops an integrated framework combining street-view semantic segmentation, topographic indicator extraction, entropy weighting, cluster analysis, questionnaire surveys, and multiple linear regression. Based on 2351 street-view sampling points, 9404 street-view images, and 9508 valid questionnaires, eight environmental indicators were extracted and aggregated to the buffer level to examine their statistical associations with average perceived emotional stress and negative anxiety. The results identify five typical micro-risk scenarios and show that water exposure, barrier proxy, and building enclosure are the most discriminative variables. Regression analysis further indicates that buffers with higher water exposure, barrier proxy, and building enclosure tend to report higher average perceived emotional stress and negative anxiety, whereas buffers with higher green view index tend to report lower average psychological burden. These findings suggest that urban pluvial flooding is not only a hydrological-engineering issue, but also a compound urban risk that is visualized, spatialized, and contextualized at the street-view scale. This study contributes by shifting flood research from flood-generating factors to buffer-level risk scenarios and physical–psychological association patterns, offering a replicable framework for integrating street-view, GIS, and social perception data. Full article

This research synthesizes a more than a decade of empirical and conceptual research on Industry 4.0 technologies with circular economy ecosystem in the European context. The shifting from linear to circular economy requires adoption of I4.0 technologies in particular Artificial Intelligence (AI), Internet of Things (IoT), and Virtual Reality (VR). Yet current scholarship on circular economy ecosystems (CEE) remains theoretically fragmented. To address this gap, we conducted a systematic literature review (SLR) of 94 peer-reviewed journal articles (2010–2025) using the Web of Science (WoS) database following the PRISMA protocol by deploying theories, contexts, methods (TCM) framework and thematic analysis. We developed a comprehensive framework based on addressing key barriers e.g., diverse expectations of stakeholders, resistance to change, sustainable leadership challenges, lack of digitally enabled-capabilities and institutional pressure with the help of important enablers such as AI capabilities, collaboration with stakeholders, frugal innovation and supportive government policies. Our findings contribute to the emerging discourse on how combining digital technologies with circular economy practices can support the development of low emission manufacturing systems, in line with current zero-emission policy goals in the European Union. This review contributes fragmented literature by highlighting theoretical, contextual and methodological gaps as previously disparate perspectives to help align and move research forward. This research contributes to SDG 9- “Industry, innovation and infrastructure” and SDG 12 “Responsible Consumption and Production”. Full article

Strand-based structural products offer an excellent alternative material for wood-based construction, which can be produced from low-quality raw materials. Indigenous poplar is becoming an increasingly important raw material, but its industrial utilization requires a new approach due to its unfavorable growth characteristics. The study introduced in this paper was aimed at developing Oriented Structural Lumber (OSL) from Hungarian poplar and comparing the potential of indigenous vs. hybrid poplar materials. Laboratory-scale (400 × 400 × 30 mm) OSL was produced, first to find viable manufacturing parameters for poplar OSL based on modulus of rupture (MOR), internal bond strength, and thickness swelling, and then to compare a wide range of mechanical and physical characteristics of OSL made of the two types of poplar. The first part of the study showed that a resin content of 3.4%, 650 kg/m³ target density, and 750 s of pressing time gave the best results for producing 30 mm thick OSL in laboratory conditions. The produced boards were comparable to softwood and bamboo OSL developed in earlier studies, and their performance was comparable to a higher grade of structural lumber (C35) in terms of density and MOR, as measured on small laboratory-scale specimens. There were only minor differences in in-plane and out-of-plane compression and tension between indigenous and hybrid poplar boards. Hybrid poplar performed better in terms of bending, but indigenous poplar had significantly higher screw withdrawal resistance, and lower thickness swelling and water absorption. Overall, poplar OSL is promising as a potential new product, and indigenous poplar can be used to replace hybrid poplar in this application without a decline in mechanical and physical performance. Full article

Tourism education is central to human capital development under Saudi Arabia’s Vision 2030, yet the extent to which curricula align with emerging industry requirements remains underexplored, particularly in developing economy contexts. This qualitative study examines student and faculty perspectives on curriculum alignment at the University of Ha’il’s Tourism and Antiquities Department. Twenty participants were purposively recruited and interviewed; data were analyzed using thematic analysis. Findings reveal four interconnected challenges: a persistent theory–practice gap sustained by lecture-based pedagogies, insufficient integration of digital and smart tourism technologies, weak industry–academia partnerships, and structural barriers to interdisciplinary collaboration. In response, this study proposes an interdisciplinary integration model structured around five domains: digital technology, sustainability and environment, business and entrepreneurship, cultural and creative industries, and social sciences and community engagement. The model provides a progressive framework for cross-departmental collaboration and represents the study’s primary practical contribution. Theoretically, the study demonstrates that curriculum misalignment operates through mutually reinforcing institutional constraints rather than discrete correctable deficits. Recommendations address curriculum reform, technology investment, structured partnership development, and administrative conditions enabling interdisciplinary implementation. Full article

Oil paintings, sketches, and printed works on paper frequently exhibit characteristic forms of deterioration caused by the absorption of linseed oil binders into the paper substrate. This study investigates for the first time the factors influencing the resulting volatile organic compound (VOC) emissions from oil-impregnated papers upon ageing and explores VOC quantifiable metrics suitable for condition assessment. Headspace Solid-Phase Microextraction coupled with Gas Chromatography-Mass Spectrometry (HS-SPME–GC-MS) was employed to sample and analyse VOCs from mock-ups made of three types of paper (a pure cellulosic, lignin-free and lignin-containing lignocellulosic papers with alkaline buffer), three pure linseed oil formulations (cold-pressed and alkaline-refined linseed oil, and stand oil), and oil-impregnated paper mock-ups, all subjected to controlled artificial ageing. The results showed a clear difference in VOC profile emissions between pure papers and linseed oil formulations, while oil-impregnated mock-ups emitted compounds matching those of the linseed oil formulations; however, the emissions followed a different trend. Statistical analysis (PCA) demonstrated that both paper pulp content and oil formulation significantly influence VOC emission patterns, highlighting the compounds that produce higher and most characteristic emissions. Ratios of specific compounds—such as formic to acetic acid—showed consistent trends across materials, indicating their potential as markers for distinguishing stages of deterioration. Full article