Search Results (1,042)

This paper explores the key professional and institutional factors that influence the integration of environmental, social, and governance (ESG) considerations into financial evaluation and auditing processes. The study investigates the impact of legal familiarity, ESG experience, professional qualifications, and digital competencies on ESG readiness among financial analysts, auditors, and economists. By integrating a structured review of academic literature with an in-depth analysis of European regulatory instruments, the research identifies how dual materiality principles, standardized ESG metrics, and taxonomy-aligned disclosures reshape professional practices. A structured, ethics-approved survey (10 items) was administered nationally, and 145 responses were retained for analysis across economists, analysts, and auditors. Descriptive statistics, Pearson correlations, and linear/multiple regressions were used to test three hypotheses regarding ESG experience, legislative familiarity, and multifactor effects. The results reveal that familiarity with EU legislation is the strongest predictor of ESG integration capacity, while ESG-related experience and digitalization also show moderate to strong influence. The multiple regression model confirms the multifactorial nature of ESG implementation, though not all professional predictors contribute equally. Residual analysis confirms the statistical robustness of the models. The study highlights the need for regulatory literacy, targeted training, and digital adaptation as critical components of ESG competency. Full article

Ultrafine particles (UFPs) containing polycyclic aromatic hydrocarbons (PAHs) benzo[a]pyrene (BaP), are linked to pollution-induced health concerns, with skin being highly susceptible to contamination. Understanding the metabolic fate of these environmental pollutants in the skin is crucial. Moreover, traditional in vitro models often lack metabolic competency, while animal testing raises ethical concerns. This study introduces a novel approach combining stable isotope labeling (SIL) and liquid chromatography–high-resolution mass spectrometry (LC-HRMS) to investigate BaP metabolism. The physiologically relevant 3D reconstructed human epidermis (RHE) model was used. RHE models were exposed to BaP and deuterium-labeled BaP (BaP-d12). These analyses, followed by data analysis incorporating stable isotope filtering, revealed the presence of five distinct BaP phase I metabolites, including mono-hydroxylated, dihydroxylated, and quinone derivatives. This study demonstrates the power of coupling stable isotope labeling with LC-HRMS for the comprehensive characterization of BaP metabolic pathways in human skin. The identification of specific metabolites enhances our understanding of BaP detoxification mechanisms and their potential adverse effects. This analytical approach holds promise for investigating the metabolic fate of various other environmental pollutants. Full article

Starch is a promising alternative to petroleum-based polymers due to its biodegradability and renewable nature. However, its widespread use in non-food applications raises ethical concerns. Mango kernels, a major byproduct of mango processing, represent an abundant yet underutilized starch source. However, conventional starch extraction requires costly purification steps with significant environmental impact. This study explores the development of extruded biocomposites, using corn starch and mango kernel flour (MKF) as a more sustainable alternative. The influence of lignin, extractives, amylose, and amylopectin content on the material properties was assessed. MKF was obtained by removing both tegument and endocarp from the mango kernels, grinding them in a colloidal mill, and finally drying the ground kernels. The resulting flour was blended with corn starch, processed in an internal mixer, and injection-molded. The composites were characterized through mechanical testing, water absorption analysis, colorimetry, and UV absorption assays. Notably, the composite containing ~20% MKF exhibited mechanical properties comparable to commercial polyethylene (PE-PB 208), with a tensile strength of 9.53 MPa and a Young’s modulus of 241.41 MPa. Additionally, MKF enhanced UVA protection. These findings suggest that mango kernel flour can partially replace starch in the production of injection-molded biopolymers, offering a more sustainable approach to biodegradable plastic development. Full article

The global need for tissue and organ transplantation paved the way for plant-based scaffolds as cheap, ethical, and valuable alternatives to synthetic and animal-derived matrices for tissue regeneration. Over the years, the field has outgrown its initial scope, including the development of tissue models, platforms for drug testing and delivery, biosensors, and laboratory-grown meat. In this scoping review, we aimed to shed light on the frequency of the use of different plant matrices, the main techniques for decellularization, the functionalization methods for stimulating mammalian cell attachment, and the main results. To that purpose, we searched the keywords “decellularized” AND “scaffold” AND (“plant” OR “vegetable”) in online-available databases (Science Direct, Scopus, PubMed, and Sage Journals). From the selection and study of 71 articles, we observed a multitude of plant sources and tissues, along with a large and inhomogeneous body of protocols used for decellularization, functionalization and recellularization of plant matrices, which all led to variable results, with different extents of success (mostly in vitro). Since the field of plant-based scaffolds shows high potential for growth in the next few years, driven by emerging biotechnological applications, we conclude that future research should focus on plant sources with low economic and environmental impacts while also pursuing the standardization of the methods involved and a much deeper characterization of the scaffold performance in vivo. Full article

Service or community engaged learning has gained momentum as a strategy for developing engineering students’ professional skills while facilitating engagement with the real-world complexities of engineering problem-solving. Along with other critical scholars of engineering education, we argue that embedding social justice frameworks into engineering education, including sensibility around difference, power, and privilege, is required in order for engineering to meet the great sustainability and equity challenges of our time. This paper investigates how social justice course content and community engaged learning experiences can change engineering student attitudes toward civic engagement and social responsibility. We also explore how such content increases interest in engineering among students underrepresented in the field. Using pre-/post-survey data and focus group discussions, we conducted a quantitative and qualitative evaluation of student experience in an advanced undergraduate engineering course at a public research university that integrated social justice content with hands-on community engaged projects. Our analysis of survey results show that (1) students placed greater importance on justice-oriented civic engagement and socially responsible engineering after completing the course; (2) women and underrepresented racial/ethnic groups demonstrated greater interest in community engaged projects, and women indicated a greater interest in engineering at the end of the course than men; and (3) participation in a community engaged project also increased students’ interest in engineering, humanized problems that might have traditionally been construed as technological, and deepened the value students placed on non-technical forms of knowledge and their sense of moral and ethical responsibilities. Full article

Artificial intelligence is rapidly reshaping skill expectations across media, marketing, and journalism, however, university curricula are not evolving at a comparable speed. To quantify the resulting curriculum–skill gap in communication-related programs, two synchronous corpora were assembled for the period July 2024–June 2025: 66 course descriptions from six leading UK universities and 107 graduate-to-mid-level job advertisements in communications, digital media, advertising, and public relations. Alignment around AI, datafication, and platform governance was assessed through a three-stage natural-language-processing workflow: a dual-tier AI-keyword index, comparative TF–IDF salience, and latent Dirichlet allocation topic modeling with bootstrap uncertainty. Curricula devoted 6.0% of their vocabulary to AI plus data/platform terms, whereas job ads allocated only 2.3% (χ² = 314.4, p < 0.001), indicating a conceptual-critical emphasis on ethics, power, and societal impact in the academy versus an operational focus on SEO, multichannel analytics, and campaign performance in recruitment discourse. Topic modeling corroborated this divergence: universities foregrounded themes labelled “Politics, Power & Governance”, while advertisers concentrated on “Campaign Execution & Performance”. Environmental and social externalities of AI—central to the Special Issue theme—were foregrounded in curricula but remained virtually absent from job advertisements. The findings are interpreted as an extension of technology-biased-skill-change theory to communication disciplines, and it is suggested that studio-based micro-credentials in automation workflows, dashboard visualization, and sustainable AI practice be embedded without relinquishing critical reflexivity, thereby narrowing the curriculum–skill gap and fostering environmentally, socially, and economically responsible media innovation. With respect to the novelty of this research, it constitutes the first large-scale, data-driven corpus analysis that empirically assessed the AI-related curriculum–skill gap in communication disciplines, thereby extending technology-biased-skill-change theory into this field. Full article

This paper charts AI’s transformative path toward advancing sustainability within art museums, introducing a Human–AI compass as a conceptual framework for navigating its integration. It advocates for human-centric AI that optimizes operations, modernizes collection management, and deepens visitor engagement—anchored in meaningful human–technology synergy and thoughtful human oversight. Drawing on extensive literature review and real-world museum case studies, the paper explores AI’s multifaceted impact across three domains. Firstly, it examines how AI improves operations, from audience forecasting and resource optimization to refining marketing, supporting conservation, and reshaping curatorial practices. Secondly, it investigates AI’s influence on digital collection management, highlighting its ability to improve organization, searchability, analysis, and interpretation through automated metadata and advanced pattern recognition. Thirdly, the study analyzes how AI elevates the visitor experience via chatbots, audio guides, and interactive applications, leveraging personalization, recommendation systems, and co-creation opportunities. Crucially, this exploration acknowledges AI’s complex challenges—technical-operational, ethical-governance, socioeconomic-cultural, and environmental—underscoring the indispensable role of human judgment in steering its implementation. The Human-AI compass offers a balanced, strategic approach for aligning innovation with human values, ethical principles, museum mission, and sustainability. The study provides valuable insights for researchers, practitioners and policymakers, enriching the broader discourse on AI’s growing role in the art and cultural sector. Full article

The fashion industry, despite its global economic importance, is a major contributor to environmental degradation and social inequality. In response, sustainable fashion has emerged as a growing movement advocating ethical, ecological, and socially responsible practices. This study presents a comprehensive bibliometric analysis of 1134 peer-reviewed journal articles on sustainable fashion indexed in Scopus from 1986 to 2025. Results show an exponential rise in research output after 2015, with interdisciplinary contributions from social sciences, business, environmental science, and engineering. By applying performance analysis and science mapping techniques, the study identifies five major research themes: “Consumer Behavior,” “Design Ethics,” “Circular Economy,” “Innovation,” and “Digital Media.” The geographic distribution reveals strong outputs from both developed and emerging economies. This study provides an integrative overview of the intellectual landscape of sustainable fashion and serves as a roadmap for researchers, policymakers, and practitioners who are interested in the development of sustainable fashion. Full article

The growing demand for radiation-shielded infrastructure highlights the need for materials that balance shielding performance with environmental and economic sustainability. Heavyweight self-compacting concretes (HWSCC), commonly produced with barite (BaSO₄) or magnetite (Fe₃O₄) aggregates, lack systematic life cycle comparisons. The aim of this study is to systematically compare barite- and magnetite-based HWSCC in terms of life cycle environmental impacts, life cycle cost, functional performance (strength and shielding), and end-of-life circularity, in order to identify the more sustainable and cost-effective material for radiation shielding infrastructure. This study applies cradle-to-grave life cycle assessment (LCA) and life cycle cost analysis (LCC), in accordance with ISO 14040/14044 and ISO 15686-5, to evaluate barite- and magnetite-based HWSCC. Results show that magnetite concrete reduces global warming potential by 19% eutrophication by 24%, and fossil resource depletion by 23%, while lowering life cycle costs by ~23%. Both concretes achieve comparable compressive strength (~48 MPa) and shielding efficiency (µ ≈ 0.28–0.30 cm⁻¹), meeting NCRP 147 and IAEA SRS-47 standards. These findings demonstrate that magnetite-based HWSCC offers a more sustainable, cost-effective, and ethically sourced alternative for radiation shielding in healthcare, nuclear, and industrial applications. In addition, the scientific significance of this work lies in establishing a transferable methodological framework that combines LCA, LCC, and performance-normalized indicators. This enables scientists and practitioners worldwide to benchmark heavyweight concretes consistently and to adapt sustainability-informed material choices to their own regional contexts. Full article

Fish have become increasingly prominent as experimental models due to their unique capacity to bridge basic biological research with translational applications across diverse scientific disciplines. Their biological traits, such as external fertilization, high fecundity, rapid embryonic development, and optical transparency, facilitate in vivo experimentation and real-time observation, making them ideal for integrative research. Species like zebrafish (Danio rerio) and medaka (Oryzias latipes) have been extensively validated in genetics, toxicology, neuroscience, immunology, and pharmacology, offering robust platforms for modeling human diseases, screening therapeutic compounds, and evaluating environmental risks. This review explores the multidisciplinary utility of fish models, emphasizing their role in connecting molecular mechanisms to clinical and environmental outcomes. We address the main species used, highlight their methodological advantages, and discuss the regulatory and ethical frameworks guiding their use. Additionally, we examine current limitations and future directions, particularly the incorporation of high-throughput omics approaches and real-time imaging technologies. The growing scientific relevance of fish models reinforces their strategic value in advancing cross-disciplinary knowledge and fostering innovation in translational science. Full article

The integration of artificial intelligence (AI) into bioclimatic building design is reshaping the architecture, engineering, and construction (AEC) industry by addressing critical challenges in sustainability and efficiency. By aligning structures with local climates, bioclimatic design addresses global challenges such as energy consumption, urbanization, and climate change. Complementing these principles, AI technologies—including machine learning, digital twins, and generative algorithms—are revolutionizing the sector by optimizing processes across the entire building lifecycle, from design and construction to operation and maintenance. Amid the diverse array of AI-driven innovations, this research highlights digital twin (DT) technologies as a key to AI-driven transformation, enabling real-time monitoring, simulation, and optimization for sustainable design. Applications like façade optimization, energy flow analysis, and predictive maintenance showcase their role in adaptive architecture, while frameworks like Construction 4.0 and 5.0 promote human-centric, data-driven sustainability. By bridging AI with bioclimatic design, the findings contribute to a vision of a built environment that seamlessly aligns environmental sustainability with technological advancement and societal well-being, setting new standards for adaptive and resilient architecture. Despite the immense potential, AI and DTs face challenges like high computational demands, regulatory barriers, interoperability and skill gaps. Overcoming these challenges will be crucial for maximizing the impact on sustainable building, requiring ongoing research to ensure scalability, ethics, and accessibility. Full article

As climate action becomes increasingly urgent, nations and institutions worldwide seek advanced technologies for practical mitigation efforts. This study examines how agentic artificial intelligence systems capable of decision-making and learning from experience drive innovation dynamics in climate change mitigation, with a particular focus on ethical considerations during the net-zero transition. The current urgency of climate action demands advanced technologies, yet organisations struggle to effectively deploy agentic AI for climate mitigation due to unclear implementation pathways and ethical consideration. This study examines the relationships among agentic AI capabilities, innovation dynamics, and net-zero transition performance, using survey data from 340 organisations across the manufacturing, energy, and technology sectors, and analysed using structural equation modelling. Based on dynamic capabilities theory, this research proposes a novel theoretical model that examines how agentic AI drives innovation dynamics in climate change mitigation within governance frameworks that encompass transparency, accountability, and environmental justice. Results reveal significant mediation effects of innovation dynamics, dynamic capabilities, and ethical considerations, while environmental context negatively moderates innovation and ethical pathways. Findings suggest that overly restrictive ethical considerations can lead to implementation delays that undermine the urgency of climate action. This study proposes three solutions: (1) adaptive ethical protocols adjusting governance intensity based on climate risk severity, (2) pre-approved ethical templates reducing approval delays by 60%, and (3) stakeholder co-design processes building consensus during development. The research advances dynamic capabilities theory for AI contexts by demonstrating how AI-enabled sensing, seizing, and reconfiguring capabilities create differentiated pathways to climate performance. This study provides empirical validation of the responsible innovation framework, identifies asymmetric environmental contingencies, and offers evidence-based guidance for organisations implementing agentic AI for climate action. Full article

Cultured meat is an emerging innovation with the potential to contribute to sustainable animal production by reducing the environmental and ethical challenges associated with conventional animal farming. In Romania, this new source of protein is viewed with both interest and scepticism, reflecting broader consumer uncertainties about food innovations. Market data indicates that Romania faces a significant deficit in animal protein supply (exceeding 65% for pork, as well as notable deficits in fish and beef), while also recording one of the largest overall trade deficits in pet food. In this context, the present study explored the openness of respondents in northeastern Romania to the consumption of cultivated meat, taking into account both personal diet and pet nutrition. The results showed that 33.2% of participants were fully willing to feed their pets cultured meat products, and 70% supported its introduction to the market, provided that regulatory frameworks ensure product safety and quality. Although Romania does not currently have the legal and technological infrastructure necessary to integrate cultured meat into the food system, these findings highlight the potential role of consumer acceptance in shaping future nutritional strategies aimed at sustainable, high-quality protein alternatives for humans and pets alike. Full article

The rising global incidence of diabetes has heightened the demand for prevention strategies that are both effective and environmentally sustainable. In this context, dietary supplements obtained from food processing by-products have emerged as promising candidates, combining high nutritional value with the potential to reduce food waste. These by-products contain abundant bioactive compounds, such as antioxidants, dietary fiber, vitamins, and minerals, that have been associated with improved glycemic regulation. Their beneficial effects are mediated through several interconnected biological mechanisms, including enhanced insulin sensitivity, attenuation of oxidative stress, and modulation of inflammatory pathways. The efficacy of these supplements is supported by findings from preclinical models, clinical trials, and meta-analyses, which also allow comparison with standard antidiabetic interventions. Alongside these findings, considerations related to safety, toxicity, and the regulatory framework are critical for their integration into preventive health strategies. Furthermore, market trends, technological challenges in supplement formulation, and ethical issues surrounding the valorization of food waste are key factors influencing their development and acceptance. Together, these insights underscore the dual therapeutic and ecological potential of food by-product-derived supplements in diabetes prevention, while identifying essential avenues for future research and innovation. Full article

Background/Objectives: The increasing global population and rising demand for protein-rich foods present significant challenges for the agri-food system. Cultivated meat, produced through cellular agriculture, is emerging as a promising alternative to traditional livestock farming, offering potential environmental and ethical benefits. However, its adoption remains controversial due to concerns about sustainability, safety, and cultural acceptance. This study investigates Italian consumers’ perceptions, knowledge, and willingness to purchase cultivated meat, considering psychological, demographic, and social factors. Methods: A structured online survey was conducted involving 437 Italian meat consumers, integrating established psychometric scales to assess key attitudes. Logistic regression analysis was applied to identify determinants of consumer acceptance. Results: Findings reveal that while awareness of cultivated meat is relatively high (81.92%), willingness to purchase it is low, at just 35.47%. The main motivations for interest are environmental sustainability (54.61%) and innovation appeal (25.00%), while the primary barriers are health concerns (31.58%) and doubts about production processes (34.59%). The results also show that food neophobia, environmental awareness, and inclination toward food innovation significantly influence purchasing decisions. Additionally, demographic factors, such as age, gender, income, and household size, play a crucial role. Conclusions: This study provides insights into consumer behavior toward food innovations, informing policymakers and industry stakeholders on strategies to enhance acceptance and promote sustainable food alternatives. Full article