Search Results (640)

The purpose of this systematic review and meta-analysis (PROSPERO ID: CRD42024575181) was to quantify the relationships between dispositional and situational achievement goal involvement and sport confidence. A secondary purpose was to examine potential moderators of these relationships. Published studies reporting sufficient data, including one achievement goal measure from the dichotomous framework and one measure of sport confidence in an athlete sample, were included. Information sources included EBSCOhost databases, Web of Science databases, and relevant meta-analyses. The random-effects correlational coefficient (r) served as the summary statistic. Thirty-six studies yielding 37 independent samples, published between 1988 and 2026, which met all inclusion criteria, representing a total of 10,461 participants from youth to elite sports across four continents. Meta-analyzed random-effects correlations between task climate (k = 15, r = 0.33 [95% CI 0.23, 0.43]), ego climate (k = 13, r = −0.08 [95% CI −0.16, −0.00]), task orientation (k = 26, r = 0.27 [95% CI 0.21, 0.32]), ego orientation (k = 26, r = 0.11 [95% CI 0.06, 0.17]), and sport confidence ranged from small and negative to medium and positive in magnitude. Mixed-effects moderator analyses revealed significant differences (p < 0.05) for task climate when comparing state (r = 0.24) versus trait (r = 0.41) sport confidence measures, for task orientation scale (TEOSQ r = 0.31 vs. POSQ r = 0.18) in relation to sport confidence, and for study quality (lowest r = 0.35, medium r = 0.18, highest r = 0.24) in the task orientation–sport confidence relationship. However, nearly all prediction intervals for the examined relationships crossed zero, with the exception of a few TEOSQ- and POSQ-based moderator analyses. Thus, researchers and practitioners are cautioned that relationships between dispositional achievement goals, motivational climate perceptions, and sport confidence might be minimal or vary based on the dispositional achievement goal measure. Full article

Under the pressing imperative of achieving “dual carbon” goals and advancing urban low-carbon transitions, understanding how neighborhood spatial environments influence carbon emissions has become a critical challenge for enabling refined governance and precise planning in urban carbon reduction. Taking the central urban area of Xining as a case study, this research establishes a high-precision estimation framework by integrating Semantic Segmentation of Street View Images and Point of Interest data. This study employs a Geographically Weighted XGBoost model to capture the spatial non-stationarity of emission drivers, achieving a median R² of 0.819. The results indicate the following: (1) Socioeconomic functional attributes, specifically POI Density and POI Mixture, exert a more dominant influence on carbon emissions than purely visual features. (2) Lane Marking General shows a strong positive correlation by reflecting traffic pressure, Sidewalks exhibit a clear negative correlation by promoting active travel, and Building features display a distinct asymmetric impact, where the driving effect of high density is notably less pronounced than the negative association observed in low-density areas. (3) The development of low-carbon neighborhoods should prioritize optimizing functional mixing and enhancing pedestrian systems to construct resilient and low-carbon urban spaces. This study reveals the non-linear relationship between street visual features and neighborhood carbon emissions, providing an empirical basis and strategic references for neighborhood planning and design oriented toward low-carbon goals, with valuable guidance for practices in urban planning, design, and management. Full article

In the context of the “Dual Carbon” goals, achieving synergistic development between digitalization and green transformation in the coal power industry is essential for ensuring a just and sustainable energy transition. The core scientific problem addressed is the lack of a robust quantitative tool to evaluate the comprehensive performance of diverse transition scenarios in a complex environment characterized by multi-objective trade-offs and high uncertainty. This study establishes a sustainability-oriented four-dimensional performance evaluation system encompassing 22 indicators, covering Synergistic Economic Performance, Green-Digital Strategy, Synergistic Governance, and Technology Performance. Based on this framework, a Fuzzy DEMATEL–MultiMOORA–Borda integrated decision model is proposed to evaluate seven transition scenarios. The computational framework utilizes the Interval Type-2 Fuzzy DEMATEL (IT2FS-DEMATEL) method for robust causal analysis and weight determination, addressing the inherent subjectivity and vagueness in expert judgments. The model integrates MultiMOORA with Borda Count aggregation for enhanced ranking stability. All model calculations were implemented using Matlab R2022a. Results reveal that Carbon Price and Digital Hedging Capability (C13) and Digital-Driven Operational Efficiency (C43) are the primary drivers of synergistic performance. Among the scenarios, P3 (Digital Twin Empowerment and New Energy Co-integration) achieves the best overall performance (score: 0.5641), representing the most viable pathway for balancing industrial efficiency and environmental stewardship. Robustness tests demonstrate that the proposed model significantly outperforms conventional approaches such as Fuzzy AHP (Analytic Hierarchy Process) and TOPSIS under weight perturbations. Sensitivity analysis further identifies Financial Return (C44) and Green Transformation Marginal Economy (C11) as critical factors for long-term policy effectiveness. This study provides a data-driven framework and a robust decision-support tool for advancing the coal power industry’s low-carbon, intelligent, and resilient transition in alignment with global sustainability targets. Full article

The purpose of this article is to develop optimal control strategies for discrete-time multi-agent systems (DT-MASs) with unknown disturbances, with the goal of enhancing their consensus performance and disturbance rejection capabilities. Complex flight conditions, such as the scenario of multi-unmanned aerial vehicle (multi-UAV) maintaining consensus under strong wind gusts, pose significant challenges for MAS control. To address these challenges, this article develops an optimal controller for UAV-based MASs with unknown disturbances to reach consensus. First, a novel improved nonlinear extended state observer (INESO) is designed to estimate disturbances in real time, accompanied by a corresponding disturbance compensation scheme. Subsequently, the consensus error systems and cost functions are established based on the disturbance-free DT-MASs. Building on this, a policy iterative algorithm based on a momentum-accelerated Actor–Critic network is proposed for the disturbance-free DT-MASs to synthesize an optimal consensus controller, whose integration with the disturbance compensation scheme yields an optimal disturbance rejection controller for the disturbance-affected DT-MASs to achieve consensus control. Comparative quantitative analysis demonstrates significant performance improvements over a standard gradient Actor–Critic network: the proposed approach reduces convergence time by 12.8%, improves steady-state position accuracy by 22.7%, enhances orientation accuracy by 42.1%, and reduces overshoot by 22.7%. Finally, numerical simulations confirm the efficacy and superiority of the method. Full article

The concept of sustainable development has emerged as a global consensus, forged in response to environmental constraints and critical reflection on conventional growth-oriented paradigms. It now serves as the overarching framework for addressing climate, ecological, and socio-economic crises. In the period after the adoption of the Sustainable Development Goals (SDGs) in 2016, there was an observable trend of increased integration of these objectives into the strategic frameworks of national and subnational entities. However, global assessments have indicated a divergence between the progress achieved and the trajectory delineated by the SDGs. The Earth system is demonstrating signs of decreased resilience, with widening inequalities and the emergence of multiple crises, thereby hindering the implementation of the 2030 Agenda for Sustainable Development. As the 2030 deadline approaches, a fundamental question arises for global development governance: what should be the future of the SDGs beyond 2030? While insufficient progress has prompted debates over the adequacy of the SDG framework, fundamentally revising or replacing the SDGs would risk undermining a hard-won international consensus forged through decades of negotiation and institutional investment. Based on a comprehensive review of the historical evolution of the sustainable development concept, this study argues that the SDGs represent a rare and fragile achievement in global governance. While insufficient progress has sparked debates about their effectiveness, fundamentally revising or replacing the SDGs would jeopardize the hard-won international consensus forged through decades of negotiations and institutional investments. This study further analyzes the latest progress on the SDGs and identifies emerging risks, aiming to explore how to accelerate and optimize sustainable development pathways within the existing SDG framework rather than propose a new global goal system. Based on both global experience and practice in China, four interconnected strategic priorities—namely, economic reform, social equity, environmental justice, and technology sharing—are proposed as a comprehensive framework to accelerate SDG implementation and guide the transformation of development pathways towards a more just, low-carbon, and resilient future. Full article

Global climate change has emerged as a critical challenge for human society in the 21st century. As hubs of population and economic activity, urban and rural areas are increasingly exposed to complex and compounded disaster risks. To systematically evaluate the role of educational intervention in climate adaptability capacity building, this study employs a case study approach, focusing on the “Climate Change Adaptation Education and Teaching Alliance Program” launched in Taiwan in 2014. Through a comprehensive analysis of its institutional structure, curriculum, alliance network, and practical activities, the study explores the effectiveness of educational innovation in cultivating climate resilience talent. The study found that the program, through interdisciplinary collaboration and a practice-oriented teaching model, successfully integrated climate adaptability content into 57 courses, training a total of 2487 students. Project-based learning (PBL) and workshops significantly improved students’ systems thinking and practical abilities, and many of its findings were adopted by local governments. Based on these empirical results, the study proposes that urban and rural planning education should be promoted in the following ways: first, updating teaching materials to reflect regional climate characteristics and local needs; second, enhancing curriculum design by introducing core courses such as climate-resilient planning and promoting interdisciplinary collaboration; third, enriching hands-on learning through real project cases and participatory workshops; and fourth, deepening integration between education and practice by establishing multi-stakeholder partnerships supported by dedicated funding and digital platforms. Through such an innovative educational framework, we can prepare a new generation of professionals capable of supporting global sustainable development in the face of climate change. This study provides a replicable model of practice for education policymakers worldwide, particularly in promoting the integration of climate resilience education in developing countries, which can help accelerate the achievement of UN Sustainable Development Goals (SDG11) and foster interdisciplinary collaboration to address the global climate crisis. Full article

In the context of environmental challenges and digital transformation, artificial intelligence (AI) plays a key role in promoting sustainable development within Industry 4.0 and the emerging paradigm of Industry 5.0. This study systematically reviewed the literature (2015–2025) from Scopus and Web of Science on the connections between AI, circular economy, industrial paradigms, and the Sustainable Development Goals (SDGs), with a particular focus on supply chains and SDG 12—responsible consumption and production. The majority of research emphasizes managerial aspects, the application of machine learning and robotics, as well as waste reduction, resource optimization, and circular economy practices within supply chain and production–consumption systems. Geographical analysis shows that larger economies serve as central research hubs, while some countries that are not among the most populous often achieve the highest average citations per document. Temporal keyword trends indicate a shift in research focus from operational efficiency in traditional supply chains (optimization) toward supply chain digitalization (artificial intelligence) and sustainability (circular economy). Keyword trends reveal four thematic clusters: supply chain digitalization, agritech, smart industry, and sustainability. The study highlights future research directions, including integrating circular economy with managerial and technical approaches, linking Industry 5.0 with SDG 12, and applying advanced AI in sustainable industrial practices. The increasing attention to ethical and social dimensions underscores the need for AI solutions that are both technologically advanced and sustainability oriented. Full article

Food loss and waste (FLW) presents a major global challenge and is explicitly referenced in the several of the United Nations Sustainable Development Goals (SDGs), most notably in Target 12.3. The growing literature on FLW addresses a number of strategies to mitigate the problem; however, much of this work prioritizes technical solutions while studies focused on institutional solutions are less prevalent. Our study offers a systematic review of the FLW solutions discussed in the Voluntary National Reviews (VNRs) and Voluntary Local Reviews (VLRs) of the United Nations. We apply the Institutional Analysis and Development (IAD) framework pioneered by Nobel Laureate, Elinor Ostrom to our analysis of FLW solutions in the VNRs and VLRs to identify prevalent patterns as well as gaps evident in the reviews. We base our systematic review of FLW solutions on the VNRs and VLRs rather than on the peer-reviewed literature since government-reported FLW initiatives play a key role in guiding individual and collective actions toward achieving SDG 12.3. Using a systematic review approach, we identified 165 publicly available VNRs and 116 VLRs that report FLW activities and were published in English between 2016 and 2024. We then applied the IAD framework categories to the 281 identified Reports. Our findings suggest that nearly 60% of the Reports focused on technical solutions while 40% reported socially oriented solutions. The socially oriented solutions were primarily directed toward consumers and less frequently toward businesses and policymakers. These findings suggest that FLW solutions can be meaningfully advanced by placing more emphasis on the role of informal institutions in in advancing awareness and social engagement to address FLW. A stronger emphasis on social rather than technical solutions may also facilitate the development of local and regional partnerships that advance FLW objectives across all levels of governance, from local to global. Full article

Insufficient investment in wildlife that lacks strong aesthetic or emotional appeal to humans poses a significant obstacle to achieving broader conservation goals. Species that are not considered charismatic are nonetheless vital to ecosystems and deserve attention from conservationists, researchers, and the public. However, effective strategies for bridging the gap between these species and traditionally charismatic ones remain underexplored. Our exploratory study introduced the concept of charisma orientations to examine their influence on pro-bird behaviors, such as following guidelines, reporting disturbances, and participating in community advocacy. We identified six relational and socially negotiated orientations—ecological importance, intrinsic right to exist, protection support, affective meaning, and perceived decline—that together represent key perspectives through which waterbirds are understood. A survey of 615 Texas coastal recreationists revealed that relying solely on positive charisma diminishes the appeal of waterbirds for participants. The species likeability frame was relevant only in the context of reporting disturbances, while a moral policy stance (the belief that waterbirds need protection) was significant in predicting advocacy. Younger males and individuals who felt current regulations were adequate were less likely to engage in waterbird conservation behaviors. Our findings suggest that examining the intersection of contested charismatic species and various charisma orientations can uncover subtle nuances often overlooked due to an overemphasis on positive charisma and emotional resonance, which may only partially apply or not apply at all. Full article

Background/Objectives: The present study aimed to examine the associations among achievement motivation, meaning in life, and well-being among video game players and to investigate differences between players with approach- and avoidance-oriented motivations. Methods: The sample consisted of 296 university students who reported playing video games (192 men and 104 women), aged 18 to 35 years (M = 22.62; SD = 2.64). Participants completed a battery of self-report measures, including the Achievement Goal Questionnaire, the Meaning in Life Questionnaire, and the WHO-5 Well-Being Index, administered anonymously. Results: Mediation analyses revealed that meaning in life was a significant mediator in the relationship between approach-oriented mastery goals and well-being (Ind = 0.07; 95% CI [0.02, 0.12]). However, no significant mediation effect was found for approach-oriented performance goals (Ind = 0.04; 95% CI [−0.01, 0.09]). Independent-samples t-tests indicated that participants with approach-oriented motivations reported significantly higher levels of meaning in life (t(294) = 4.44; p < 0.001), presence of meaning (t(294) = 5.74; p < 0.001), and well-being (t(294) = 5.52; p < 0.001) compared to those with avoidance-oriented motivations. Conclusions: The findings suggest that approach-oriented achievement motivations among players are positively associated with meaning in life and are indirectly associated with higher well-being, whereas avoidance-oriented motivations are associated with lower levels of well-being. These results carry potential implications for game design, education, and psychotherapy. Full article

Multi-criteria decision-making (MCDM) models are moving toward being data-oriented. Meanwhile, MCDM models’ totalitarian reliance on experts’ preferences may reduce the accuracy of results in real-world challenges. Therefore, there is a huge gap in refining MCDM models to be data-structured rather than relying on experts’ and decision-makers’ ideas. In this research article, the primary indifference threshold values of the Indifference Threshold-based Attribute Ratio Analysis (ITARA) model, which is one of the popular objective weighting MCDM techniques, have been investigated and improved to achieve the goal of a full-objective MCDM model. ITARA utilizes decision-makers’ and experts’ opinions to set the indifference threshold values, which are integral to obtaining criteria weights, and since this step is not data-based, unlike the whole technique, it is prone to deficiencies. Three critical frameworks based on the minimum value, standard deviation, and max–min distance are designed to assess the sensitivity of the indifference threshold values and optimize the initialization values to start the model. Two case studies based on actual data are considered in this research to observe the frameworks’ outcomes and the rank reversal phenomenon. The results demonstrated that the assigning weights procedure is deeply sensitive to a max–min framework, while the standard deviation framework illustrated more stable results and a slight change in criteria rankings. The min framework moderately fluctuated between the max–min and standard deviation frameworks. Full article

Path planning for autonomous mobile robots in dynamic environments is a critical challenge, particularly when robots must navigate both known and unknown obstacles in real-time. Traditional methods like ant colony optimization (ACO) have shown promise in global path planning but often suffer from slow convergence and the risk of getting trapped in local optima. Similarly, while the dynamic window approach (DWA) excels in real-time obstacle avoidance, it exhibits delayed response and higher failure rates in scenarios with fast-moving obstacles. To address these challenges, this study proposes a hybrid path planning framework, IACO-QDWA, which integrates an improved ACO (IACO) for global path optimization with a Q-learning-enhanced DWA (QDWA) for dynamic obstacle avoidance. IACO improves global path search through goal-oriented initialization and adaptive pheromone updates, while QDWA enhances local decision-making by optimizing the state-action space. The experiments demonstrate that IACO-QDWA achieves a reasonable balance between path quality, obstacle avoidance success rate, and real-time performance. It exhibits stable obstacle avoidance behavior and reliable navigation capabilities in highly dynamic environments. Full article

Reducing the specific energy consumption of reverse osmosis (RO) processes motivates the development of new membrane materials that have enhanced water permeability while maintaining low salt permeability (high rejection). Nanocomposite membranes have shown great promise in achieving these goals, particularly those using nanotubes as fillers. Here, we report on the relationships between the orientations and surface functionalities of imogolite nanotubes (INTs) with water and salt permeabilities for polyamide nanocomposite membranes. An external electric field was used to manipulate the INT orientation within the polyamide active layer. The INT interior and exterior chemistries, respectively, were made hydrophobic using methyl triethoxysilane as a precursor during INT synthesis and post-synthesis modification with alkali-phosphate groups. Irrespective of nanotube orientation or surface chemistry, membrane permeance increased from 0.3 to ≥1.0 L m⁻² h⁻¹ bar⁻¹. A salt permeability comparable to the conventional polyamide membrane was maintained by making the INT pore throat hydrophobic. These findings indicated that salt rejection could be tailored by manipulating the INT interior surface chemistry without sacrificing water permeability. Full article

Historic religious cities are living examples of cultural landscapes where spiritual traditions, heritage, and visitor experiences combine to demonstrate a timeless experience. It is very challenging to achieve balance among the demands of mass pilgrimage, heritage preservation, and urbanization. Govardhan, India is a Hindu religious town with historical significance. Millions of pilgrims travel to Govardhan every year to perform parikrama and take a holy dip in kunds. The quality of the visitor experience, spatial coherence, and heritage conservation are all at risk due to increasing urbanization and tourism. The study intends to create a paradigm for the sustainable management of religious heritage towns by evaluating the factors involving visitor perception, historical significance, and spatial visibility, employing a combination of computational methods and cognitive assessments. The study employed space syntax tools (visibility graph analysis and isovist area analysis) to quantify spatial significance (SS) and identify patterns of openness, congestion, and visibility along the parikrama route of Govardhan. By examining pilgrims’ cognitive surveys for openness, orientation, congestion, and spiritual impression, a cognitive index (CI) and heritage importance scores (HIS) have been developed. The computed spatial significance (SS) has been correlated with cognitive index (CI) and heritage importance (HIS) scores to create an experiential priority index (EPI). The study employs a mixed-method approach that incorporates heritage significance scoring, cognitive surveys, and spatial analytics, including methods such as the isovist area analysis and visibility graph analysis. In order to assess how spatial arrangement and intangible perceptions together influence visitor experience, these statistics are further combined using a composite experiential priority index (EPI). The findings show a strong correlation between spiritual orientation, visual connectivity, and spatial openness; locations such as ‘punchari ka lota temple’ and ‘kusum sarovar’ are high-priority nodes. In accordance with United Nation Sustainable Development Goals (SDGs) (11, 9, 12, 4.7, and 8.9), this research proposes a heritage impact assessment (HIA) framework that provides workable solutions for ecological restoration, heritage-sensitive zoning, sustainable pilgrimage management, and enhanced tourism. Full article

Children’s academic motivation declines with grade, beginning in early elementary school, so a better understanding of young children’s motivation is needed. Measuring motivational constructs in children is a necessary start to this goal with a focus on children’s curiosity, mindset, and achievement goal orientations—all shown to be consistently related to academic success across developmental periods. In 212 6–10-year olds, factor analyses showed separate factors for each of the expected constructs. Curiosity positively related to growth mindset instability—but not malleability—beliefs, and mastery goal orientations, and achievement goal orientations (performance, mastery) were positively associated, though they did not relate to growth mindset beliefs. Disentangling the observed associations that diverge from the prior literature can help to identify promising future directions for supporting children’s motivation and learning. Full article