Search Results (781)

The cooling effect of urban forests has been widely investigated to support climate-adaptive spatial planning. However, studies on the impacts of key landscape drivers have often produced conflicting results, limiting their practical applicability. These inconsistencies may stem from an oversimplified focus on the global effects of individual factors, while neglecting non-linear threshold behaviors and pairwise interactions. To address this gap, this study employed an interpretable machine learning framework (XGBoost-SHAP) to quantify the seasonal non-linearities, thresholds, and interaction effects of landscape drivers on urban forest cooling in Suzhou, a subtropical Chinese city. The results indicate that the combined explanatory power of neighboring water body proportion (NWP), neighboring green space proportion (NGP), vegetation density (NDVI), spatial characteristics (Area, SHAPE), and elevation on the cooling intensity of urban forest patches was strongest in summer (R² = 0.615) and weakest in winter (R² = 0.316). Among these, NWP, NGP, and NDVI were the dominant drivers, while patch area and shape exhibited weaker marginal effects. NWP significantly enhances cooling only after exceeding seasonal critical thresholds (11%–15%). NGP contributed positively above ~40% in warm seasons but suppressed cooling above 37% in winter. Patch area exhibits a logarithmic relationship with cooling intensity, with a critical threshold of approximately 2.48 ha and saturation thresholds between 12 and 14 ha. SHAPE exerted positive effects in spring and winter, negative effects in summer, and a transition from negative to positive in autumn. Notably, significant, threshold-modulated interactions were identified, including those between NDVI and NWP, SHAPE and NDVI, SHAPE and NGP, NWP and NDVI, NWP and NGP, and NGP and NDVI. In each interaction, the first factor regulates and reverses the effect of the second once specific thresholds are exceeded. This study provides actionable, evidence-based guidance for the planning and optimized design of urban forests. Full article

The four ethical boundaries established in the Declaration Toward a Global Ethic (1993)—“Do not kill,” “Do not steal,” “Do not lie,” and “Do not commit sexual immorality”—though recognized as cross-civilizational consensus, face practical challenges as external commandments. From a comparative theological perspective, Christianity’s “Moral Golden Rule” originates from the Ten Commandments, with Sabbath observance serving as sacred temporal space for moral practice. While this time-bound practice has physiological and psychological foundations and plays a vital role in shaping religious identity, contemporary conflicts and divisions within Christian civilization reveal its sacredness facing secularization crises. The Buddhist ethical framework of the Five Precepts and Ten Virtues, grounded in the principles of dependent origination, karma, and mind-consciousness, manifests enhanced flexibility in sacred temporality and tolerant practical applications when interpreted through the lens of emptiness as a temporal perspective. The Christian Zen movement creatively employs Buddhist meditation techniques as methodological instruments, providing an embodied practice pathway for civilizational dialogue and constructing future communities of shared ethical values. Full article

Construction site layout planning (CSLP) plays a pivotal role in determining the overall efficiency and cost-effectiveness of construction projects. Material handling operations, which constitute a significant portion of indirect project costs, heavily depend on the spatial arrangement of temporary facilities such as site offices, storage yards, and equipment zones. Poorly planned layouts can lead to excessive travel distances, increased material handling times, and operational delays, all of which contribute to inflated costs and reduced productivity. Therefore, optimizing the layout of construction sites to minimize transportation distances and enhance workflow is a critical task for project managers, contractors, and other stakeholders. The challenge in CSLP lies in the complexity of simultaneously satisfying multiple, often conflicting, requirements such as space constraints, safety regulations, and functional proximities. This complexity is compounded by the dynamic nature of construction activities and the presence of numerous facilities to be allocated within limited and irregularly shaped site boundaries. Mathematically, this problem can be formulated as a Quadratic Assignment Problem (QAP), a well-known NP-hard combinatorial optimization problem. The QAP seeks to assign a set of facilities to specific locations in a manner that minimizes the total cost, typically modeled as the sum of products of flows (e.g., material movement) and distances between assigned locations. However, due to the computational complexity of QAP, exact solutions become impractical for medium to large-scale site layouts. In recent years, metaheuristic algorithms have gained traction for effectively tackling such complex optimization problems. Among these, the Advanced Jaya Algorithm (A-JA), a recent population-based metaheuristic, stands out for its simplicity, parameter-free nature, and robust search capabilities. This study applies the A-JA to solve the CSLP modeled as a QAP, aiming to minimize the total weighted travel distance of material handling within the site. The algorithm’s performance is validated through two realistic case studies, showcasing its strong search capabilities and competitive results compared to traditional optimization methods. This promising approach offers a valuable decision-support tool for construction managers seeking to enhance site operational efficiency. Full article

Maintaining operational efficiency in distributed solar energy systems requires intelligent coordination of inspection tasks and workforce resources to handle diverse fault conditions. This study presents a bi-level multi-objective optimization framework that addresses two tightly coupled problems: dynamic job scheduling and skill-based team formation. The job scheduling component assigns geographically dispersed inspection tasks to mobile teams while minimizing multiple conflicting objectives, including travel distance, tardiness, and workload imbalance. Concurrently, the team formation component ensures that each team satisfies fault-specific skill requirements by optimizing team cohesion and compactness. To solve the bi-objective team formation problem, we propose HMOO-AOS, a hybrid algorithm integrating six metaheuristic operators under an NSGA-II framework with an Upper Confidence Bound-based Adaptive Operator Selection. Experiments on datasets of up to seven instances demonstrate statistically significant improvements ($p<0.05$) in solution quality, skill coverage, and computational efficiency compared to NSGA-II, NSGA-III, and MOEA/D variants, with computational complexity $\mathcal{O}\left(G·N·(M+logN)\right)$ (time complexity), $\mathcal{O}(N·L)$ (space complexity). A cloud-integrated system architecture is also proposed to contextualize the framework within real-world solar inspection operations, supporting real-time data integration, dynamic rescheduling, and mobile workforce coordination. These contributions provide scalable, practical tools for solar operators, maintenance planners, and energy system managers, establishing a robust and adaptive approach to intelligent inspection planning in renewable energy operations. Full article

This paper presents a comprehensive methodology for the multiobjective tuning of MIMO proportional integral derivative (PID) controllers using advanced metaheuristic strategies. The proposed approach formulates a cost function based on two conflicting performance criteria—the integral of absolute error (IAE) and the integral of absolute derivative of control (IADU)—to explore the trade-off between tracking performance and control effort systematically. Three metaheuristic techniques are employed: stochastic hill climbing, a Voronoi-based heuristic, and the Nondominated Sorting Genetic Algorithm (NSGA-II). A novel Multiobjective Optimization Design (MOOD)-based classification framework is incorporated to facilitate decision making across the Pareto front. The methodology is validated on three benchmark MIMO plants, demonstrating its robustness and generalizability. The results highlight that the NSGA-II controller achieves the lowest IADU value of 0.3694 in the mass damper system while maintaining acceptable performance metrics. The inclusion of a PID-split strategy further enhances system flexibility. This study emphasizes the value of metaheuristics in navigating complex design spaces and delivering tailored control solutions for multiobjective scenarios. Full article

Urban green space, a vital part of urban ecosystems, offers inhabitants essential ecosystem services, and ensuring its fair distribution is essential to preserving their ecological well-being. This study uses Kaifeng City in Henan Province as the research object and aims to address the unique conflict between the preservation of well-known historical and cultural cities and the development of greening. It does this by integrating streetscape big data (2925 sampling points) and point of interest (POI) density data (57,266 records) and using the DeepLab-ResNeSt269 semantic segmentation model in conjunction with spatial statistical techniques (Moran’s Index, Locational Entropy and Theil Index Decomposition) to quantitatively analyze the spatial equity of the green view index (GVI) in Kaifeng City. The results of the study show that (1) The Theil Index reveals that the primary contradiction in Kaifeng City’s distribution pattern—low GVI in the center and high in the periphery—is the micro-street scale difference, suggesting that the spatial imbalance of the GVI is primarily reflected at the micro level rather than the macro urban area difference. (2) The distribution of the GVI in Kaifeng City exhibits a significant spatial polarization phenomenon, with the proportion of low-value area (35.40%) being significantly higher than that of high-value area (25.10%) and the spatial clustering being evident (Moran’s Index 0.3824). Additionally, the ancient city area and the new city area exhibit distinct spatial organization patterns. (3) POI density and GVI had a substantial negative correlation (r = −0.085), suggesting a complicated process of interaction between green space and urban functions. The study reveals that the fairness of green visibility in historical and cultural cities presents the characteristics of differentiated distribution in different spatial scales, which provides a scientific basis for the optimization of greening spatial layouts in historical and cultural cities while preserving the traditional landscape. Full article

Under rapid urbanization, water-abundant cities face severe challenges of ecological space compression and ecosystem service (ES) degradation. This study focuses on Wuhan, a representative water-abundant city, integrating the PLUS model, InVEST model, correlation analysis, and geographically weighted regression (GWR) to simulate land use patterns in 2040 under three scenarios: natural development (ND), ecological protection (EP), and urban expansion (UE). We quantitatively assessed the spatiotemporal evolution of carbon storage (CS), water yield (WY), soil conservation (SC), and habitat quality (HQ), along with the trade-offs/synergies among these ES. The results reveal that the continuous expansion of construction land in Wuhan has extensively encroached upon cultivated land and water bodies. Although the woodland area increased, it was insufficient to offset the negative impacts of construction land expansion on ES. Under the ND scenario, ES declined by 1.89% to 5.33%. The EP scenario, by implementing ecological protection measures and restricting construction land expansion, enhanced ES by 1.4% to 10%. Conversely, the UE scenario saw construction land increase by over 60%, triggering a chain reaction of “urban expansion—reduction of cultivated land—encroachment on woodland/water bodies”, leading to a 4.77% to 10.75% decline in ES. Furthermore, this study uncovered complex interrelationships among ES: synergistic relationships generally prevailed among CS, SC, and HQ; trade-offs characterized the relationships between WY and both CS and HQ; and the relationship between WY and SC dynamically shifted between trade-off and synergy depending on land use patterns. Urban expansion (UE) intensified trade-off conflicts among ES, whereas ecological protection (EP) alleviated most trade-offs. However, water body expansion under EP weakened the synergy between CS and HQ due to the inherent characteristics of aquatic ecosystems (high HQ but low carbon sequestration). This research provides a scientific basis for water-abundant cities to coordinate development and ecological protection, informing the formulation of differentiated land use policies to optimize ES synergies. Full article

Over the past 30 years, early childhood education has emerged as a critical program and policy initiative of Canadian provincial governments and jurisdictions. With the recent announcement by the Government of Canada regarding plans to create and implement a national childcare system, tensions have been on the rise regarding early childhood educators’ (ECEs’) professional development. Informed by socio-constructivist and socio-cultural theories, this study examines the experiences of 18 ECEs and 10 coaches while being trained to use the Pyramid Model (PM) for promoting social-emotional competence in early childhood education. The study investigates the tensions and coexistence of two distinct educational philosophical paradigms—interpretivism and positivism—within the project implementation process, particularly how these paradigms influenced ECEs’ professional development. An action research methodology was utilized, and six focus group interviews were conducted with ECEs and coaches between 2023 and 2025. Findings reveal a perceived conflict between the PM’s positivist approach and the interpretative lenses that ground the early learning framework used in the province. However, as implementation progressed, participants began merging practices from both paradigms while engaging in meaningful professional reflexive processes. This study contributes to a broader understanding of how professional learning unfolds in complex, multi-paradigmatic contexts. The study highlights the need to create professional learning spaces where ECEs can collectively become participants and agents of change. By exploring the interplay between philosophical paradigms and professional development practices, this research aims to inform future efforts in ECEs’ professional development initiatives and to shed light on the complex dynamics at play when contrasting paradigms become explicit within professional learning opportunities. Full article

The spatial distribution of predation risk creates a landscape of fear that shapes animal behavior. Humans are typically perceived as predators, leading wildlife to adjust their space use accordingly. However, adaptable species like wild boar (Sus scrofa) can thrive in human-dominated landscapes such as cities, where they may generate conflicts. In this study, we investigated how the landscape of fear influences wild boar presence in a Mediterranean peri-urban environment in Cáceres (Spain). We quantified wild boar presence (WBp) using 112 footprint traps across three seasons and characterized fear-related variables through vegetation cover and an urbanization gradient derived from distances to the city center and urban edge. Generalized linear mixed models showed that WBp was consistently higher in Cover areas than in Open areas, while the urbanization gradient had no significant effect. Spatial modeling further revealed more localized aggregation in Cover areas. These results indicate that wild boar preferentially use vegetated refuge zones, although seasonal variation suggests that resource distribution may also shape their movements. Understanding how wild boar respond to fine-scale landscape features has key implications for managing their populations and mitigating human–wildlife conflicts in Mediterranean peri-urban contexts. Full article

The optimal scheduling of vehicles at signal-free intersections under the connected and automated vehicle (CAV) environment has become a research hotspot in the intelligent transportation field. However, existing studies often oversimplify the intersection’s conflict area and fail to adequately address the spatiotemporal sparsity of conflict points, with little attention given to bus priority requirements. To address these gaps, this paper first establishes an intersection coordinate system and constructs a conflict area analysis model based on the coordinates of key conflict points and vehicle trajectories. Subsequently, an optimal scheduling model for automated vehicles at signal-free intersections with bus priority is developed, which considers the set of vehicles influencing decisions within a time window and uses vehicle entry times and lateral lane changes as decision variables. To enhance computational speed while preserving convergence accuracy, a search space reduction method based on available gaps for conflict point traversal constraints is designed. The model is then solved using an improved double-layer multi-population particle swarm optimization (PSO) algorithm. Simulation results, compared against traditional signal control, rule-driven signal-free, and dynamic-optimization-based signal-free algorithms demonstrate that the proposed method achieves a favorable balance between computational cost and efficiency. It significantly reduces the average vehicle delay. Moreover, incorporating bus priority reduces the average per capita delay by 18.95% compared to the non-priority scenario, effectively proving the validity of the proposed method. Full article

Jordan’s aging population faces a critical challenge: a strong cultural preference for aging at home, rooted in Islamic ethics of familial care (birr al-wālidayn), conflicts with housing stock that is largely unsafe and inaccessible. This first national mixed-methods study examines the intersection of home modifications, socio-economic barriers, and cultural constraints to aging in place. Data from 587 surveys and 35 interviews across seven governorates were analyzed using chi-square tests, linear regression, and thematic coding. Results indicate that while physical modifications significantly improve accessibility to key spaces like kitchens and reception areas (majlis) (χ² = 341.86, p < 0.001), their adoption is severely limited. Socio-economic barriers are paramount, with 34% of households unable to afford the median modification cost of over $1500. Cultural resistance is equally critical; 22% of widows avoid modifications like grab bars to prevent the ‘medicalization’ of their home, prioritizing aesthetic and symbolic integrity over safety. The study reveals a significant gendered decision-making dynamic, with men controlling 72% of structural modifications (β = 0.27, p < 0.001). We conclude that effective policy must integrate universal design with Islamic care ethics. We propose three actionable recommendations: (1) mandating universal design in building codes (aligned with SDG 11), (2) establishing means-tested subsidy programs (aligned with SDG 10), and (3) launching public awareness campaigns co-led by faith leaders to reframe modifications as preserving dignity (karama) (aligned with SDG 3). This approach provides a model for other rapidly aging Middle Eastern societies facing similar cultural-infrastructural tensions. Full article

Municipal solid waste (MSW) incineration projects often trigger “Not In My Backyard” (NIMBY) conflicts, which pose persistent crises to social development and sustainable governance. This study introduces a novel “reputation–interest” space model grounded in scenario–response theory to reframe NIMBY conflicts as processes of crisis transformation. We construct a multi-stakeholder indicator system and propose a crisis resilience degree model to capture both the risks and opportunities embedded in conflict dynamics. The application object is a waste incineration project in Hangzhou, China. The analysis reveals how NIMBY conflict can evolve from strong resistance to a neighbor–benefit effect. Empirical results show that the crisis resilience degree of the project evolved from 37.26% to 89.26%, from the initial strong resistance of the residents to the successful in situ landing, which improved the crisis resilience, recovering resilience from the crisis. The results provide actionable insights for policymakers to turn NIMBY conflicts into drivers of social trust and sustainable urban transformation. Full article

The systematic attacks against the civilian population in Gaza, including educational institutions, constitute war crimes that violate the right to education and affect not only children but also an entire culture’s ability to recover post-conflict and maintain its identity. This document review analysed the reports issued by Nations agencies to identify the types of violence that occur in educational contexts, the victims of such violence, the impact on the rights to and within education, and the educational measures implemented in response. A thematic analysis guided by Karma Nabulsi’s concept of “scholasticide”, Rita Segato’s “pedagogy of cruelty”, and Sara Ahmed’s “witness” was conducted. The findings reveal that the attacks on educational spaces can be interpreted as ideological strategies against the Palestinian culture due to their critical role in cultural resilience and the recovery of the Palestinian people. The reports highlight significant limitations in recognising education as a priority dimension within the framework of international humanitarian aid. Finally, the analysed documents show that children in Gaza experience feelings of abandonment based on the inaction of the international community to guarantee their right to be free from all kinds of violence. Full article

Traditional sound-absorbing materials, which are intended to address the issue of low-frequency noise control in automobile air-conditioning duct mufflers, have limited noise reduction effects in small spaces. Because of their straightforward structure and excellent controllability, acoustic metamaterials—particularly Helmholtz resonators—have emerged as a research hotspot in low-frequency noise reduction. However, existing technologies have issues such as restricted structural scale, narrow absorption frequency bands, and conflicts with ventilation requirements. To address these, this paper proposes a new type of Helmholtz perforated and tortuous-characteristic duct muffler for the unit cell of acoustic metamaterials. Through the innovative structural design combining a perforated panel with a multi-channel tortuous cavity, the length of the channel is changed in a limited space, thereby extending the sound wave propagation path and enhancing the dissipation of sound wave energy. Meanwhile, for the muffler, acoustic theoretical modeling, finite element simulation, and parametric optimization methods are adopted to systematically analyze the influence of its key structural parameters on the sound transmission loss (STL) of the muffler. Compared with the traditional folded-channel metamaterial, the two differ in resonance frequency by 38 Hz, in transmission loss by 1.157 dB, and in effective bandwidth by 1 Hz. This research provides theoretical support and design basis for solving the problem of low-frequency noise control in ventilation ducts, improves low-frequency broadband sound absorption performance, and promotes the engineering application of high-efficiency noise reduction devices. Full article

This study presents a multi-objective optimization framework for enhancing environmental performance in high-density residential complexes, addressing the critical balance between sunlight access, visual openness, and ground-level privacy. Applied to Helio City Phase 3 in Seoul—a challenging case with 2026 units surrounded by adjacent blocks—the research developed a sequential three-stage optimization strategy using computational design tools. The methodology employs Ladybug simulations for solar analysis, Galapagos genetic algorithms for view optimization, and parametric modeling for privacy assessment. Through grid-based layout reconfiguration, tower form modulation, and strategic conversion of vulnerable ground-floor units to public spaces, the optimized design achieved 100% sunlight standard compliance (improving from 64.31%), increased average visual openness to 66.31% (from 39.48%), and eliminated all privacy conflicts while adding 30 residential units. These results demonstrate that computational optimization can significantly surpass conventional planning approaches in addressing complex environmental trade-offs. The framework provides a replicable methodology for performance-driven residential design, offering quantitative tools for achieving regulatory compliance while enhancing residents’ experiential comfort in dense urban environments. Full article