Search Results (5,017)

The growing need for sustainable energy practices necessitates technology-driven interventions that can effectively bridge the disparity between consumer intentions and actual behavior. This paper formulates and empirically substantiates an IoT-enabled digital nudge architecture designed to promote sustainable energy behavior. The architecture provides goal-setting, social comparison, feedback, and informational nudges across multiple digital channels, utilizing linked devices, data processing layers, and a rule-based nudge engine. An 815-responder survey was analyzed using structural equation modeling with partial least squares (SEM-PLS) to identify the drivers of sustainable energy behavior and explore technology readiness as a moderating factor. The results show that nudges utilizing the Internet of Things (IoT) significantly enhance the alignment between intention and behavior. Goal-setting and feedback mechanisms have the highest effects. The findings also demonstrate that being ready for new technology improves nudge response, highlighting the importance of user-centered system design. This paper presents a scalable infrastructure for integrating IoT into sustainability projects, as well as theoretical contributions to technology adoption and behavioral intervention research. The study enhances the dialogue on environmental technology by illustrating the implementation of digital nudges through IoT infrastructures to expedite progress toward the Sustainable Development Goals (SDGs). Full article

Innovation is central to the Zero Hunger agenda, yet its distributional links to agricultural performance and policy in Eastern Europe remain unclear. This study investigates whether national innovation performance, proxied by the Global Innovation Index, is associated with agriculture’s macroeconomic weight and with public budget orientation in Bulgaria, Czechia, Hungary, Poland, Romania, and Slovakia across the past decade and a half. Using panel quantile regression with country fixed effects and bootstrapped standard errors, we estimate effects at the lower, median, and upper parts of the outcome distributions for three indicators: agriculture value added share of gross domestic product, the agriculture orientation index for government expenditures, and the agriculture share of government expenditure. Results show a robust negative association between innovation and the agricultural share of gross domestic product that strengthens toward the upper quantiles, consistent with structural transformation that reallocates value added toward higher-productivity sectors. For the orientation index, innovation is unrelated at the lower and median parts but becomes positive in mid–upper regimes, fading again at the extreme upper tail. No systematic relationship emerges for the budget share. Land endowment is positively associated with agricultural weight, while population size is negatively associated. We conclude that economy-wide innovation aligns with structural change, whereas shifting agricultural budget shares requires targeted, sector-specific policy instruments. Full article

This study explores the implementation of gamification as an instructional strategy to support the learning of whole numbers in a rural Colombian school with limited technological resources. The intervention involved 23 sixth-grade students who participated in a Genially based digital escape room titled “Agent 00+7.” The activity was structured around five missions designed to foster motivation, collaboration, and active participation. A survey instrument encompassing five dimensions—motivation, role performance, task completion, learning/interaction, and gro integration—was administered across all missions, producing 180 valid responses. The instrument demonstrated strong internal consistency (Cronbach’s α = 0.872). Data were analyzed using one-way ANOVA, revealing significant mission-level variations in students’ perceived motivation, role performance, task completion, and integration, while learning/interaction remained stable. These outcomes suggest that gamified digital environments may shape students’ perceptions of engagement and teamwork, even in resource-constrained settings. Although the results are exploratory and descriptive, given the absence of a control group or pre–post comparison, they provide preliminary evidence of the feasibility and pedagogical promise of gamification in rural educational contexts, contributing to the advancement of Sustainable Development Goals (SDGs) 4, 9, and 10. Full article

Education for sustainable development (ESD) plays a pivotal role in facilitating a sustainable transformation. A prerequisite for the successful implementation of ESD is the coordinated cooperation of stakeholders from different levels of the education system. The present study explores the perceptions of key stakeholders in education in Germany concerning (a) the conceptual framework of ESD, (b) the present status of ESD implementation, and (c) the ideal governance of ESD implementation. An exploratory, qualitative approach was selected as the study design. A total of eleven interviews were conducted with stakeholders representing various levels of the German education system, including representatives from ministries, state institutes, associations, and school practice. The findings indicate that the stakeholders have a shared understanding of ESD, with varying degrees of elaboration and areas of emphasis. All acknowledge the advancement in the implementation of ESD, concurrently recognizing the necessity for substantial enhancement. This study’s main contributions are a better understanding of stakeholders’ perceptions on ESD implementation and an ideal governance model that allocates specified responsibilities across all relevant system levels and actors. A combined bottom-up and top-down approach is proposed as essential in the pursuit of fostering sustainability within and through education, encompassing professionalism, profoundness, and persistence. Full article

The use of insects for feed has a significant impact on aquaculture, contributing to the achievement of the Sustainable Development Goal of Zero Hunger and Sustainable Agriculture (SDG 2), among others. This study mapped the intermediate Technology Readiness Levels (TRLs), encompassing scientific knowledge (TRL 3) through 971 scientific articles (Scopus) and technological development (TRLs 4–5) through 218 patents (Espacenet). The highest conversions from TRL 3 to TRLs 4–5 were observed for fish, mollusks, crustaceans, and annelids. Key technological targets include carp and black soldier flies (BSF). Most technologies follow circular economy principles. Emerging themes include immunity, cloning, molecular techniques, metabolomics, and genetics. China leads in TRLs 3–5, followed by the United States. Only France, the United States, and five additional countries hold export-oriented patents targeting 26 markets, primarily involving BSF-based feed formulations. Future growth trends are exponential for scientific articles, logarithmic for total patents, and linear for export patents. Collaboration at TRLs 4–5 remains limited, underscoring the need for greater international cooperation to expand access to sustainable insect-based aquaculture feed technologies. Full article

Clean energy applications widely recognize Proton Exchange Membrane Fuel Cells (PEMFCs) for their high efficiency and environmental compatibility. Accurate parameter identification of PEMFC models is essential for enhancing system performance and reliability, particularly under dynamic operating conditions. This paper presents a novel optimization-based approach called Heterogeneous Comprehensive Learning-Bald Eagle Search (HCLBES) with enhanced exploration and exploitation capabilities for the effective modeling of PEMFC. The algorithm combines the exploration strength of the Bald Eagle Search with comprehensive learning and heterogeneity mechanisms to achieve a balanced global and local search space. In this algorithm, the number of agents is divided into two subagents. Each subagent is assigned to focus solely on either exploration or exploitation. The comprehensive learning strategy generates exemplars for both subgroups. In the exploration sub-agent, exemplars are generated using the personal best experiences of agents within that same exploration space. The exploitation subagent generates the exemplars using the personal best experiences of all agents. This separation preserves exploration diversity even if exploitation converges prematurely. The algorithm is applied to optimize parameters of the 250 W and 500 W PEMFC models under varying conditions. Simulation results demonstrate the outperformance of the HCLBES algorithm in terms of convergence speed, estimation accuracy, and robustness compared to recent optimization algorithms. The effectiveness of HCLBES was also verified through statistical metrics and different commercial PEMFC models, including BCS 500 W stacks, Horizon 500, and NedStack PS6. Experimental validation confirms that the proposed algorithm effectively captures the nonlinear behaviours of PEMFCs under dynamic operating conditions. This research aligns with the Sustainable Development Goals (SDGs) by promoting clean and affordable energy (SDG 7) through the enhanced efficiency and reliability of PEMFCs, thereby supporting sustainable industrialization and innovation (SDG 9). Full article

Breaking barriers to sustainable jobs and promoting inclusive employment are key goals of the 2030 Agenda, with SDG8 Target 8.5 aiming to achieve decent work for all, including persons with disabilities (PWDs). This paper contributes to the scholarly debate by empirically examining how various regulatory areas, including credit market regulation, labor market regulation, business regulation, and the freedom to compete, influence the informal employment of PWDs in 15 countries between 2007 and 2022. The empirical investigation is conducted for the entire population with disabilities, as well as for adults and youth with disabilities. The analysis employs a dynamic labor demand function estimated through the two-step system GMM method to account for adjustment costs within the labor market. In addition, the Feasible Generalized Least Squares method is employed to assess the robustness of the results. The findings reveal significant heterogeneity in the effects of regulation on the informal employment of PWDs, with substantial differences between adults and youth. At the aggregate level, greater flexibility in most regulatory areas reduces informal employment of PWDs, except for labor market regulation. Upon examining age cohorts, the outcomes for adults exhibit similarities to the aggregate analysis. In contrast, more flexible regulations increase informal employment among young people with disabilities, except for business regulations, which exert negative impacts, and credit market regulations, which demonstrate no significant effects. This study recommends that policymakers support formal business development for PWDs and implement anti-discrimination laws. For youth with disabilities, targeted initiatives, including financial inclusion and wage subsidies, are essential to convert regulatory flexibility into formal employment opportunities. Full article

Among the players for achieving the Sustainable Development Goals (SDGs) defined in the United Nations 2030 Agenda, global energy transition plays a pivotal role. Among the emerging strategies, energy sharing mechanisms, such as peer-to-peer (P2P) trading, virtual power plants (VPPs), energy communities, and local energy markets are widely recognized for their potential to increase energy justice, resilience, and sustainability. These models redistribute energy production and consumption responsibilities among users, fostering decentralization, democratization, and inclusivity in energy systems. This review synthesizes current literature on energy sharing and evaluates their contributions to specific SDGs, particularly SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Furthermore, the paper discusses regulatory frameworks, technological enablers, and socio-economic barriers to implementation. It concludes with policy recommendations for promoting energy sharing schemes as effective tools in the global pursuit of sustainable development. Full article

Geoenergy engineering, which includes the use of geothermal energy and other forms of energy stored inside the Earth, is of key importance for the transition to renewable energy sources in the global energy mix. The article discusses the role of geoenergy science and engineering in meeting Sustainable Development Goals (SDGs), with particular attention to SDG 6 (access to clean water), SDG 7 (clean energy), SDG 9 (innovativeness), SDG 11 (sustainable cities), and SDG 13 (climate-related actions). The article also describes the role of the life-cycle assessment (LCA) of geothermal projects in pursuing Sustainable Development Goals. The analyses and reviews presented in the article indicate that geoenergy engineering will have a significant role in the meeting of Sustainable Development Goals by the energy sector. Energy production in geothermal power plants is expected to increase, reducing the demand for energy from conventional sources. The article also lists the most significant challenges faced by the geoenergy industry, such as high initial costs, demand for highly specialized workers and for adequate financing, as well as for LCA-based research regarding the general environmental impact of new geoenergy facilities. Full article

This study develops an integrated bi-level operations–assignment model to optimise express service on the Gyeongin Line, a core corridor connecting Seoul and Incheon. The upper level jointly selects express stops and time-of-day headways under coverage constraints—a minimum share of key stations and a maximum inter-stop spacing—while the lower level assigns passengers under user equilibrium using a generalised time function that incorporates in-vehicle time, 0.5× headway wait, walking and transfers, and crowding-sensitive dwell times. Undergrounding and alignment straightening are incorporated into segment run-time functions, enabling the co-design of infrastructure and operations. Using automatic-fare-collection-calibrated origin–destination matrices, seat-occupancy records, and station-area population grids, we evaluate five rail scenarios and one intermodal extension. The results indicate substantial system-wide gains: peak average door-to-door times fall by approximately 44–46% in the AM (07:00–09:00) and 30–38% in the PM (17:30–19:30) for rail-only options, and by up to 55% with the intermodal extension. Kernel density estimation (KDE) and cumulative distribution function (CDF) analyses show a leftward shift and tail compression (median −8.7 min; 90th percentile (P90) −11.2 min; ≤45 min share: 0.0% → 47.2%; ≤60 min: 59.7% → 87.9%). The 45-min isochrone expands by ≈12% (an additional 0.21 million residents), while the 60-min reach newly covers Incheon Jung-gu and Songdo. Backcasting against observed express/local ratios yields deviations near the ±10% band (PM one comparator within and one slightly above), and the Kolmogorov–Smirnov (KS) statistic and Mann–Whitney (MW) test results confirm significant post-implementation shifts. The most cost-effective near-term package combines mixed stopping with modest alignment and capacity upgrades and time-differentiated headways; the intermodal express–transfer scheme offers a feasible long-term upper bound. The methodology is fully transparent through provision of pseudocode, explicit convergence criteria, and all hyperparameter settings. We also report SDG-aligned indicators—traction energy and CO₂-equivalent (CO₂-eq) per passenger-kilometre, and jobs reachable within 45- and 60-min isochrones—providing indicative yet robust evidence consistent with SDG 9, 11, and 13. Full article

Sustainable community development depends not only on economic and environmental factors but also on effective local leadership. This study examines the key factors shaping leadership competencies among Ecuadorian local leaders, focusing on the influence of socioeconomic conditions, individual attributes, and access to professional development opportunities. A cross-sectional survey of 60 leaders from diverse regions was analyzed using Principal Component Analysis (PCA) and biplot visualizations to uncover latent competency structures relevant to sustainable governance. The results highlight sharp disparities between urban and rural contexts: urban leaders exhibited stronger competencies, largely supported by institutional resources and training access, while rural leaders relied more on informal governance and community legitimacy. Strategic vision, decision-making, and resilience emerged as pivotal competencies for effective local leadership. Strengthening these competencies is a prerequisite for achieving socially and institutionally sustainable governance, directly supporting the implementation of the Sustainable Development Goals (SDGs), particularly Goals 11, 16, and 17. Full article

This study presents the design, modeling, and multi-platform simulation of NEPTUNE-R, a solar-powered autonomous hydro-robot developed for sustainable water purification and oxygenation. Mechanical design was performed in Fusion 360, trajectory optimization in MATLAB R2024a, and dynamic motion analysis in Roblox Studio, creating a reproducible digital twin environment. The proposed path-planning strategies—Boustrophedon and Archimedean spiral—achieved full surface coverage across various lake geometries, with an average efficiency of 97.4% ± 1.2% and a 12% reduction in energy consumption compared to conventional linear patterns. The integrated Euler-based force model ensured stability and maneuverability under ideal hydrodynamic conditions. The modular architecture of NEPTUNE-R enables scalable implementation of photovoltaic panels and microbubble-based oxygenation systems. The results confirm the feasibility of an accessible, zero-emission platform for aquatic ecosystem restoration and contribute directly to Sustainable Development Goals (SDGs) 6, 7, and 14 by promoting clean water, renewable energy, and life below water. Future work will involve prototype testing and experimental calibration to validate the numerical findings under real environmental conditions. Full article

In pursuit of sustainable development goal 5 (SDG5), this study underscores gender equity and women’s empowerment as pivotal themes in sustainable development. It examines the drivers of women’s empowerment, including education, economics, finance, and legal rights, using data from $n=223$ individuals, primarily women (68.4%) aged 20–30 (69.6%). The research methodology integrates descriptive statistical measures, machine learning (ML) algorithms, and graphical representations to systematically explore the fundamental research inquiries that align with SDG5, which focuses on achieving gender equity. The results indicate that higher educational levels, captured through ordinal encoding and correlation analyzes, are strongly linked to increased labor market participation and entrepreneurial activity. The random forest (RF) and support vector machine (SVM) classifiers achieved overall accuracies of 89% and 93% for the categorization of experience, respectively. Although 91% of women have bank accounts, only 47% reported financial independence due to gendered barriers. Logistic regression correctly identified financially independent women with a 93% recall, but the classification of non-independent participants was less robust, with a 44% recall. Access to legal services, modeled using a neural network, was a potent predictor of empowerment (F1-score 0.83 for full access cases), yet significant obstacles persist for those uncertain about or lacking legal access. These findings underscore that, while formal institutional access is relatively widespread among educated women literate in the digital world, perceived and practical barriers in the financial and legal realms continue to hinder empowerment. The results quantify these effects and highlight opportunities for tailored, data-driven policy interventions targeting persistent gaps. Full article

At present, the design of autism rehabilitation centers in China generally fails to meet the rehabilitation needs of patients, making it difficult to achieve the health and well-being goals of sustainable development. In this context, restorative environment theory, with its potential to improve spatial environments and enhance well-being, has gradually become a key driving force in the environmental design process. Therefore, this literature review employs a combined approach of macro-level quantitative and micro-level qualitative research methods based on the Web of Science (WOS) database. First, 5953 relevant literature sources were analyzed to reveal the research background, current status, hot topics, and future development trends of the theory of restorative environment and rehabilitation centers for children with autism. Through keyword network visualization, seven primary clusters were identified: #0 environmental design, #1 burnout, #2 Autism specturn disorder, #3 Attention deficit hyperactivity disorder, #4 caregiver, #5 domiciliary care, # 6 stroke. These clusters were further synthesized into four core design elements: lifecycle-spanning design, family collaboration and community engagement design, green sustainable environment design, and culturally inclusive and diverse physical and mental development design. Subsequently, a multi-level case analysis was conducted using 24 global autism-friendly design examples to validate the practical applicability of these core elements. Finally, based on the research findings, the discussion section proposes environmental design strategies for autism rehabilitation centers tailored to the Chinese context.These strategies aim to enhance the well-being of children with autism and contribute to the achievement of Sustainable Development Goal 3 (SDG3). Full article

This article explores how gender stereotypes and institutional practices influence the development and public image of women’s football in Romania, framing the case within debates on social sustainability (SDG 5), media representation, and sports governance. Using a mixed-methods approach, we triangulate (1) a qualitative content analysis of DigiSport online coverage (n = 57 articles; 2022–2025), (2) public testimonies collected at a national conference on gender and sport held in Timișoara in 2025 and (3) two in-depth, semi-structured interviews with one professional player whose multi-club career offers cross-organizational insights and one professional player who is still a student at the start of her career. The findings reveal systematic symbolic exclusion: in our sample, stories about women’s football make up approximately 2% of total football coverage and are mostly limited to results-only briefs, with little contextual information about athletes, resources, or structures. Historically, post-socialist policy changes have led to formal recognition but limited material support, resulting in symbolic compliance, such as UEFA/FRF mandates without corresponding investments. Current initiatives, like FRF’s Modele de Femeie campaign and UEFA-supported GOALSCORE, increase visibility but coexist with persistent gendered framings in media narratives and public discourse. The interviews support the media findings, highlighting recurring barriers—such as precarious funding, limited pathways, gendered disrespect in stadiums, and the psychological impact of marginalization—alongside stories of resilience and agency. We argue that achieving sustainable inclusion in women’s football requires more than regulatory measures; it calls for media parity, stable resources, and gender-competent leadership. Aligning policy with cultural change through equitable coverage standards, transparent funding, and accountability measures can transform football from a symbol of inequality into a space of social empowerment. Full article