Search Results (4,918)

This paper investigates how Scottish rural schools engage with their broader educational landscape, particularly through collaborative practices and capacity-building efforts. It examines how these schools cultivate a culture of partnership, both among institutions and within their communities, to strengthen leadership and enhance teaching and learning. Guided by Place-Based Education (PBE) as its conceptual framework, the study emphasises equity challenges rooted in local contexts and situates rural education within Scotland’s historical, societal, and policy landscape. Drawing on qualitative case studies of five schools, data were collected through semi-structured interviews with principals and supported by documentary evidence and student attainment data from national assessments. The findings showcase school leaders’ efforts to enhance social and educational outcomes and build sustainable, equity-driven systems. The paper concludes with implications for policy and practice, addressing equitable access, workforce recruitment and retention, and the potential for schools to collaborate with local and regional stakeholders to strengthen rural education. Full article

This study examines how green credit policies, specifically the green credit guidelines (GCGs) implemented in 2012, influence corporate sustainable innovation. This study employs a quasi-natural experiment approach, utilizing data from Chinese listed companies between 2005 and 2023, to examine the differential impact of the GCGs on high-polluting enterprises versus energy-efficient enterprises. The study uses a Difference-in-Differences (DID) methodology to explore how policy-induced changes in financing conditions affect firms’ innovation behaviors, particularly in terms of green patent applications. This study uses a mechanism to understand the role of R&D investment and access to long-term financing in driving these changes. And this study considers heterogeneity across firm ownership types and industry competition to investigate the varying effects of the GCGs. By identifying the causal pathways through which green credit policies influence innovation, this study contributes to the understanding of how environmental policies shape corporate behavior and innovation outcomes. Full article

Introduction: The sustained global epidemic of Human Immunodeficiency Virus (HIV) necessitates comprehensive, region-specific surveillance to inform public health policy. This 30-year retrospective observational cohort study delineated the epidemiological patterns, transmission dynamics, treatment efficacy, and long-term clinical outcomes of HIV infection in Oman to strategically align preventative and therapeutic programs with Oman’s Vision 2040 framework. Methods: We analyzed the clinical and epidemiological data of 429 confirmed HIV-positive patients with a minimum follow-up period of six months, registered at a secondary care facility in North Batinah, Oman, between January 1995 and December 2024. Predictors of mortality were rigorously assessed utilizing Kaplan–Meier survival analysis and Cox proportional hazards regression models. Continuous variables were evaluated using independent sample t-tests or Mann–Whitney U tests, while categorical variables employed chi-square or Fisher’s exact tests. Results: The cohort exhibited a male predominance (70.6%) with a mean age at diagnosis of 32.8 years (SD ± 12.17). Heterosexual contact constituted the predominant mode of acquisition (56%), followed by bisexual (17%) and homosexual (12%) contacts. Although 67.1% of patients presented with early, asymptomatic disease (WHO Stage 1), opportunistic infections were evident in 28.1% of the cohort, with recurrent sepsis (8.4%) and bacterial pneumonia (3.5%) being the most frequent complications. The WHO clinical stage at presentation was confirmed as a highly significant predictor of survival (p < 0.0001). Stage 1 patients achieved excellent long-term prognosis (approximately 75% survival beyond 30 years), markedly contrasting with Stage 4 patients, whose survival declined sharply (median survival of approximately 8 years, and only 10–15% surviving past 20 years). The tenofovir/emtricitabine/efavirenz regimen showed superior efficacy, achieving 75% survival at 30 years, relative to zidovudine-based regimens, which showed significantly poorer performance (15–20% survival at 20 years). Conclusions: This investigation substantiates the shift toward predominant heterosexual transmission and emphasizes the critical prognostic significance of the clinical stage at diagnosis. Optimal long-term survival mandates prompt diagnosis, timely initiation of contemporary antiretroviral therapies, and sustained viral suppression. These findings offer crucial evidence to strengthen HIV prevention and treatment programs within Oman. Full article

The growing global environmental crisis calls for fundamental transformations in production and consumption systems, but the understanding of how circular economy strategies translate into quantifiable environmental benefits remains fragmented across sectors and geographies. The objective of this study is to synthesize current scientific knowledge on the circular economy as an environmental mitigation strategy, identifying conceptual convergences, methodological patterns, geographic distributions, and critical knowledge gaps. A systematic review combined with a bibliometric analysis of 62 peer-reviewed articles published between 2018 and 2024, retrieved from Scopus, Web of Science, ScienceDirect, Springer Link and Wiley Online Library, was conducted following the PRISMA 2020 guidelines. The results reveal a marked methodological convergence around life cycle assessment, with Europe dominating the scientific output (58% of the corpus). Four complementary conceptual frameworks emerged, emphasizing closed-loop material flows, environmental performance, integration of economic sustainability and business model innovation. The thematic analysis identified bioenergy and waste valorization as the most mature implementation pathways, constituting 23% of the research emphasis. However, critical gaps remain: geographic concentration limits the transferability of knowledge to diverse socioeconomic contexts; social, cultural and behavioral dimensions remain underexplored (12% of publications); and environmental justice considerations receive negligible attention. Crucially, the evidence reveals nonlinear relationships between circularity metrics and environmental outcomes, calling into question automatic benefits assumptions. This review contributes to an integrative synthesis that advances theoretical understanding of circularity-environment relationships while providing evidence-based guidance for researchers, practitioners, and policy makers involved in transitions to the circular economy. Full article

This study examines the relationship between national open educational resource (OER) policies and Sustainable Development Goal 4 (SDG4) outcomes across 187 countries between 2015 and 2024, with particular attention to the moderating role of artificial intelligence (AI) readiness. Despite widespread optimism about digital technologies as catalysts for universal education, systematic evidence linking formal OER policy frameworks to measurable improvements in educational access and completion remains limited. The analysis employs fixed effects and difference-in-differences estimation strategies using an unbalanced panel dataset comprising 435 country-year observations. The research investigates how OER policies associate with primary completion rates and out-of-school rates while testing whether these relationships depend on countries’ technological and institutional capacity for advanced technology deployment. The findings reveal that AI readiness demonstrates consistent positive associations with educational outcomes, with a ten-point increase in the readiness index corresponding to approximately 0.46 percentage point improvements in primary completion rates and 0.31 percentage point reductions in out-of-school rates across fixed effects specifications. The difference-in-differences analysis indicates that OER-adopting countries experienced completion rate increases averaging 0.52 percentage points relative to non-adopting countries in the post-2020 period, though this estimate remains statistically imprecise (p equals 0.440), preventing definitive causal conclusions. Interaction effects between policies and readiness yield consistently positive coefficients across specifications, but these associations similarly fail to achieve conventional significance thresholds given sample size constraints and limited within-country variation. While the directional patterns align with theoretical expectations that policy effectiveness depends on digital capacity, the evidence should be characterized as suggestive rather than conclusive. These findings represent preliminary assessment of policies in early implementation stages. Most frameworks were adopted between 2019 and 2022, providing observation windows of two to five years before data collection ended in 2024. This timeline proves insufficient for educational system transformations to fully materialize in aggregate indicators, as primary education cycles span six to eight years and implementation processes operate gradually through sequential stages of content development, teacher training, and institutional adaptation. The analysis captures policy impacts during formation rather than at equilibrium, establishing baseline patterns that require extended longitudinal observation for definitive evaluation. High-income countries demonstrate interaction coefficients between policies and readiness that approach marginal statistical significance (p less than 0.10), while low-income subsamples show coefficients near zero with wide confidence intervals. These patterns suggest that OER frameworks function as complementary interventions whose effectiveness depends critically on enabling infrastructure including digital connectivity, governance quality, technical workforce capacity, and innovation ecosystems. The results carry important implications for how countries sequence educational technology reforms and how international development organizations design technical assistance programs. The evidence cautions against uniform policy recommendations across diverse contexts, indicating that countries at different stages of digital development require fundamentally different strategies that coordinate policy adoption with foundational capacity building. However, the modest short-term effects and statistical imprecision observed here should not be interpreted as evidence of policy ineffectiveness, but rather as confirmation that immediate transformation is unlikely given implementation complexities and temporal constraints. The study contributes systematic cross-national evidence on aggregate policy associations while highlighting the conditional nature of educational technology effectiveness and establishing the need for continued longitudinal research as policies mature beyond the early implementation phase captured in this analysis. Full article

Gender discrimination is a pervasive and multifaceted phenomenon rooted in cognitive, emotional, and social mechanisms that operate across individual, interpersonal, and structural levels. This umbrella review synthesizes systematic reviews and meta-analyses published between 2013 and 2024 examining the relationship between gender, stereotypes, and discrimination. Following PRISMA 2020 guidelines, searches were conducted across PubMed/MEDLINE, Scopus, and Web of Science, yielding 22 eligible reviews after screening 684 records. Thematic synthesis identified two overarching domains: manifestations of discrimination and health and professional outcomes. Discrimination emerged as structural, interpersonal, and implicit, operating through institutional barriers, microaggressions, and stereotyping mechanisms. These dynamics were found to significantly affect mental health, and particularly anxiety, depression, and psychological distress, as well as physical health, including cardiovascular outcomes and maternal morbidity. Professional and social functioning were also impaired, with gender-based inequalities documented in pay, promotion, and role allocation across multiple occupational contexts. Despite consistent evidence of harm, the literature revealed limited consensus in conceptualization and a lack of longitudinal and intervention research. Collectively, findings underscore that gender discrimination constitutes both a public health concern and a systemic social mechanism that shapes individual cognition, emotion, and behaviour, demanding multi-level psychological and policy responses. Full article

The incorporation of digital music into the reform of education has become one of the primary methods to improve educational outcomes, increase creativity, and innovate the practices in the classroom. This combination, together with the close industry–academia cooperation, presents the possibilities to integrate educational strategies in accordance with the technological and creative demands of the contemporary world. Nevertheless, uncertainty, reluctance, symmetry, and subjectivity in expert ratings are significant problems to cope with when considering multi-criteria decision-making (MCDM). To resolve them, this paper suggests a Picture Fuzzy Faire Un Choix Adequat (PF-FUCA) decision support model, where fifteen options will be rated by seven criteria, depending on the contribution of four professional decision-makers. These findings indicate that the PF-FUCA framework is effective and superior to the current PF-MCDM models, as illustrated by sensitivity and comparison analysis. The identified best strategies based on the framework are blockchain-based music copyright education and integrated music–STEM platforms that, when combined, offer a viable policy instrument to policymakers, educators, and industry stakeholders. Full article

This study examines how Green Human Resource Management (GHRM) is linked to sustainable organizational performance, encompassing environmental, economic, and social outcomes through the capability-building mechanisms of green innovation (GI) and green organizational culture (GOCL) in emerging manufacturing systems. Drawing on the Resource-Based View and capability-based sustainability perspectives, GHRM is conceptualized as a strategic organizational capability that enables firms in developing economies to beyond short-term regulatory compliance toward measurable and integrated sustainability performance outcomes. Survey data were collected from 446 managerial and technical respondents in Ethiopia’s garment and textile industrial parks, one of Africa’s fastest-growing industrial sectors facing significant sustainability challenges. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping-based mediation analysis, the results show that GHRM is positively associated with sustainable organizational performance, with GI and GOCL operating as key mediating mechanisms that translate HR-related practices into measurable sustainability outcomes. The findings highlight the role of GHRM in strengthening firms’ adaptive and developmental sustainability capabilities by fostering pro-sustainability mindsets and innovation-oriented behaviors, which are particularly critical in resource-constrained and weak-institutional contexts. The study contributes to sustainability and management literature by explicitly linking Green HRM to triple-bottom-line performance through a capability-building framework and by providing rare firm-level empirical evidence from a low-income emerging economy. Practically, the results provide guidance for managers and policy makers to design, monitor, and evaluate HRM systems that intentionally cultivate human, cultural, and innovative capabilities to support long-term organizational sustainability transitions. Full article

In an increasingly digitalized work environment, the expectation of perpetual work availability—constant connectivity (CC)—has become central to employees’ daily experiences, influencing productivity, well-being, and work–life balance. This study validates the Constant Connectivity Scale in the Italian organizational context, assessing its psychometric properties through exploratory and confirmatory factor analyses with 300 employees from three organizations. Reliability and validity assessments revealed the scale’s unidimensional structure, strong internal consistency, and high construct validity, demonstrating its effectiveness in measuring perceived hyperconnectivity at work. Findings reveal important relationships between constant connectivity and employee outcomes: significant associations with increased anxiety and a paradoxical moderate positive correlation with job performance, suggesting complex mechanisms whereby connectivity simultaneously activates engagement and strain processes. The weak correlation with smart working perception indicates that organizational flexibility policies have not substantially reduced connectivity expectations in Italian organizations. This study contributes to the digital work literature by providing a validated, culturally adapted instrument for as sessing constant connectivity in the Italian workforce. The validated CCS offers organizations evidence-based measurement for understanding hyperconnectivity intensity and implementing targeted strategies for building workforce resilience and promoting mental health through better management of digital connectivity demands. Full article

Urban heat islands pose intensifying threats to public health, equity, and urban livability as climate change amplifies temperature extremes. This systematic review synthesizes evidence from 33 primary studies (2021–2025) examining health impacts, mitigation strategies, and policy integration. The analysis focuses on interaction mechanisms, specifically how mitigation strategies differentially reduce health burdens across vulnerable populations, to advance systems-level understanding of urban heat dynamics. Following PRISMA guidelines, the review examined these mechanisms across three interconnected domains: health burdens, physical mitigation effectiveness, and post-pandemic policy synergies. Findings reveal profound inequities in heat exposure and associated health outcomes, with disadvantaged populations experiencing 26–45% higher heat-related mortality risk and 3–4 °C greater exposure than affluent communities, even after controlling for income. Physical mitigation strategies show measurable effectiveness, providing 1–6 °C cooling from green infrastructure and 2–22 °C from cool surfaces. Optimal interventions vary by socioeconomic context, with urban trees being more effective in disadvantaged areas, while cool roofs are better suited to affluent zones. COVID-19 natural experiments demonstrated 30–50% anthropogenic heat reductions, revealing strategic opportunities for integrating heat mitigation with 15-Minute City planning and work-from-home normalization. Effective implementation requires moving beyond isolated interventions toward spatially differentiated, equity-centered strategies aligned across planning, transportation, and governance domains. The post-pandemic period presents a critical window for embedding heat mitigation into broader urban transformation agendas. Full article

Centralized UAV logistics controllers can achieve strong navigation performance in controlled settings, but they do not capture key deployment factors in crowdsourcing-enabled emergency logistics, where heterogeneous UAV owners participate with unreliability and dropout, and incentive expenditure and fairness must be accounted for. This paper presents a decentralized crowdsourcing multi-UAV emergency logistics framework on an edge-orchestrated architecture that (i) performs urgency-aware dispatch under distance/energy/payload constraints, (ii) tracks reliability and participation dynamics under stress (unreliable agents and dropout), and (iii) quantifies incentive feasibility via total payment and payment inequality (Gini). We adopt a hybrid decision design in which PPO/DQN policies provide real-time navigation/control, while GA/ACO act as planning-level route refinement modules (not reinforcement learning) to improve global candidate quality under safety constraints. We evaluate the framework in a controlled grid-world simulator and explicitly report stress-matched re-evaluation results under matched stress settings, where applicable. In the nominal comparison, centralized DQN attains high navigation-centric success (e.g., 0.970 ± 0.095) with short reach steps, but it omits incentives by construction, whereas the proposed crowdsourcing method reports measurable payment and fairness outcomes (e.g., payment and Gini) and remains evaluable under unreliability and dropout sweeps. We further provide a utility decomposition that attributes negative-utility regimes primarily to collision-related costs and secondarily to incentive expenditure, clarifying the operational trade-off between mission value, safety risk, and incentive cost. Overall, the results indicate that navigation-only baselines can appear strong when participation economics are ignored, while a deployable crowdsourcing system must explicitly expose incentive/fairness and robustness characteristics under stress. Full article

Low-carbon agriculture (ABC—from the acronym in Portuguese) encompasses techniques that reduce carbon emissions while maintaining productivity and profitability. Among these, the restoration of degraded pastures is a major focus of the Brazilian ABC policy, achieved through improved pasture management or crop–livestock integration. This study analyzed the relationship between ABC credit and improvements in pasture vigor in the municipalities of Minas Gerais from 2015 to 2022, considering the carbon-mitigation potential of each region. We evaluated whether credit resources were directed toward areas with greater mitigation potential and whether this investment contributed to pasture recovery. Composite indexes were developed to represent credit investment, pasture dynamics, and theoretical carbon removal potential, followed by spatial mapping and correlation analysis. The results show that ABC credit was strongly concentrated in regions with high carbon-sequestration potential, especially Triângulo Mineiro and Alto Paranaíba, indicating a generally effective targeting of resources toward areas with greater mitigation potential. Correlation analysis also indicates a positive, although moderate, association between credit volume and pasture improvement at the municipal level. Although initial results indicated more substantial improvements in pasture vigor in lower-credit regions such as North of Minas, Jequitinhonha, and Mucuri Valley (with relative increases reaching up to 300%), an additional analysis considering the initial vigor level (baseline) revealed that these gains are strongly affected by initial pasture conditions. From a policy perspective, these findings highlight the importance of rural credit as a driver of sustainable technology adoption, while also showing that baseline conditions, technical assistance, and other public or private incentives can significantly influence restoration outcomes. Strengthening credit allocation criteria, improving technical support, and integrating carbon-mitigation indicators into regional planning could enhance environmental effectiveness. Full article

Health equity and financial inclusion (FI) are at the core of the Sustainable Development Goals, yet their intersection remains critically under-studied. This bibliometric study maps this emergent and fragmented field by analyzing 24,140 publications from Scopus, PubMed, Web of Science, and Lens.org over five decades. Employing co-citation and co-word analysis via VOSviewer, chart research trends, governance frameworks, and policy linkages were systematically presented. The analysis reveals that less than 0.3% of the identified literature explicitly bridges financial inclusion with health outcomes, and direct investigations into health equity are virtually absent. Despite recent growth, fundamental gaps persist, including a lack of empirical studies on digital financial tools in low- and middle-income countries (LMIC) health contexts and insufficient focus on disadvantaged populations. As the first comprehensive empirical mapping of this nexus, this study underscores the urgency for scholarly and policy action to strategically leverage financial instruments for equitable healthcare access. The findings provide a foundational map and a structured agenda to consolidate this nascent field. Full article

Sequential decision-making is critical for applications ranging from personalized recommendations to resource allocation. This study evaluates three decision policies—Greedy, Thompson Sampling (via Monte Carlo Dropout), and a zero-shot Large Language Model (LLM)-guided policy (Gemini-1.5-Pro)—within a contextual bandit framework. To address covariate shift and assess subpopulation performance, we utilize a Collective Conditional Diffusion Network (CCDN) where covariates are partitioned into $B=10$ homogeneous blocks. Evaluating these policies across a high-dimensional treatment space ($K=5$, resulting in $2^5=32$ actions), we tested performance in a simulated environment and three benchmark datasets: Boston Housing, Wine Quality, and Adult Income. Our results demonstrate that the Greedy strategy achieves the highest Model-Relative Optimal (MRO) coverage, reaching 1.00 in the Wine Quality and Adult Income datasets, though performance drops significantly to 0.05 in the Boston Housing environment. Thompson Sampling maintains competitive regret and, in the Boston Housing dataset, marginally outperforms Greedy in action selection precision. Conversely, the zero-shot LLM-guided policy consistently underperforms in numerical tabular settings, exhibiting the highest median regret and near-zero MRO coverage across most tasks. Furthermore, Wilcoxon tests reveal that differences in empirical outcomes between policies are often not statistically significant (ns), suggesting an optimization ceiling in zero-shot tabular settings. These findings indicate that while traditional model-driven policies are robust, LLM-guided approaches currently lack the numerical precision required for high-dimensional sequential decision-making without further calibration or hybrid integration. Full article

This study investigates how gender-inclusive leadership and trade integration shape environmental sustainability in China, addressing a key gap in the literature where most prior work has focused on aggregate governance, finance, or growth without considering how gender representation in leadership and trade openness jointly relate to environmental outcomes. China provides a particularly relevant setting because it is both a leading global emitter and one of the world’s most trade-integrated and rapidly growing economies, so changes in leadership structures, financial deepening, and external openness can have sizable environmental consequences. Given the nonlinear and non-normal nature of the variables, the analysis relies on nonlinear econometric tools, specifically quantile-on-quantile ARDL and Quantile Granger Causality, applied to quarterly data from 1998Q1 to 2024Q4. The results show that the impact of gender-inclusive leadership on environmental sustainability is state-dependent, with improvements at lower environmental pressure but a predominantly negative long-run association at mid to upper quantiles, while financial development tends to support sustainability, and economic growth and trade openness are generally linked to lower sustainability across much of the quantile range. By narrowing the research gap on gender-inclusive leadership and explicitly motivating China as a critical case, this study offers context-specific evidence that can guide policies aimed at fostering inclusive leadership and greener finance while carefully managing the environmental consequences of rapid growth and deeper trade integration. Full article