Search Results (5,374)

Characterized by excessively long working hours, high personnel turnover, and frequent off-site work, the construction industry renders construction workers highly vulnerable to Work–Family Conflict (WFC). This conflict not only exacerbates role tension but also depletes their self-control resources. However, existing studies focusing on WFC among construction workers remain scarce, with insufficient exploration into the underlying psychological mechanisms governing this phenomenon. Grounded in the Conservation of Resources (COR) theory, this study develops a theoretical model that identifies Self-Control Ability (SC) as the core mediator in the relationships between WFC and construction workers’ Job Satisfaction (JS) as well as Life Satisfaction (LS). By establishing a Structural Equation Model (SEM), we analyzed questionnaire data from 407 construction workers in Hunan Province, China. The results demonstrate that WFC exerts a direct negative effect on both JS and LS, while self-control ability plays a partial mediating role in these associations. These findings extend the application of Boundary Theory and Self-Control Theory to the context of specialized labor. Practically, they offer evidence-based insights for organizations to enhance worker well-being, including the design of psychological resource replenishment programs and the optimization of shift schedules, thereby contributing to the sustainable development of the construction industry. Full article

Pruning is a regular and essential urban tree maintenance practice aimed at sustaining overall health, ecosystem services, and public safety. However, knowledge of post-pruning recovery dynamics remains limited, which in turn hinders accurate assessments of growth and ecological functions. To address this, we examined recovery dynamics of Acacia auriculiformis, a common urban species. Tree height and crown radius were recorded monthly for 12 months after pruning. Trees were classified into two size groups based on diameter at breast height (DBH, trunk diameter measured at 1.3 m above ground): medium (DBH < 45 cm) and large (DBH ≥ 45 cm). A generalized linear mixed model (GLMM), appropriate for repeated measures and non-normal data, was fitted using a Tweedie distribution and a log-link function to model the recovery pattern. Results showed continuous growth over time, with medium-sized trees presenting significantly higher crown radius growth than large trees (p = 0.006), while height growth did not differ (p = 0.788). The best model for height included time (AIC = −846.4), whereas crown recovery was best modelled by time and size class (AIC = −1586.6). These findings demonstrate that, in this study, medium-sized A. auriculiformis generally recover faster, especially in crown expansion. This exploratory study suggests that tree size may influence post-pruning recovery and can provide a reference for subsequent differentiated management studies. The morphological modeling further provides preliminary quantitative evidence for annual recovery dynamics in urban A. auriculiformis. Full article

Ticks and tick-borne diseases (TBDs) impose a heavy burden on South African livestock systems, particularly in resource-limited communal areas. Conventional acaricides are effective but face rising challenges of resistance, high costs, and concerns for environmental and human health. As a result, there is growing interest in plant-based tick control rooted in ethnoveterinary knowledge. This review examines the landscape of South African ethnoveterinary practices for tick control and assesses the supporting evidence of bioactivity and pathways for translating these remedies into safe, registered products. A narrative review method was applied, drawing on the literature (2000–2025) from databases and local repositories, with emphasis on South African studies documenting plant use against ticks. Communities in Limpopo, Eastern Cape, KwaZulu-Natal, and other provinces utilise a diverse range of botanicals (e.g., Lippia javanica, Tetradenia riparia, Clausena anisata, Tagetes minuta, Melia azedarach, Eucalyptus spp., Cymbopogon spp.) to repel or kill ticks, often through topical applications, fumigation, or livestock housing treatments. Laboratory assays have confirmed acaricidal or repellent activity in many of the cited taxa. For example, Lippia javanica and Tagetes minuta oils demonstrate strong tick repellency, while extracts of Tetradenia riparia and Calpurnia aurea exhibit greater than 70% mortality in vitro. Field studies are fewer but promising: a community-led trial with L. javanica leaf spray achieved substantial tick reduction (albeit slightly less efficacious than synthetic amitraz). Key gaps include standardisation of plant preparations, safety evaluations (toxicity and residue studies), and alignment with regulatory requirements. Recent regulatory updates in South Africa (Act 36 of 1947) underscore the need for quality, safety, and efficacy data but also create avenues for low-risk botanical remedies. Ethnoveterinary plants offer a culturally appropriate and eco-friendly complement to conventional acaricides. Bridging the gap to practical use will require multidisciplinary efforts: validating efficacy in well-designed field trials, ensuring consistency in preparation, assessing safety margins, and navigating registration pathways for plant-based stock remedies. With supportive policy and community engagement, South Africa could pioneer farmer-ready botanical acaricides that mitigate resistance, reduce costs, and advance One Health objectives. Full article

This study evaluates South Africa’s progress toward achieving SDG 4.5 by examining disparities in educational access and outcomes for vulnerable groups, including girls, children with disabilities, rural populations, and low-income households. The study recognises multidimensional inequalities and develops strategies that promote inclusive and equitable education. The quantitative approach was employed by constructing a composite Educational Equity Index (EEI) using seven indicators: gender parity in primary and lower secondary completion, location-based attainment among adults, gender parity in adult lower secondary education, disability parity in primary completion, gender parity among the poorest quintile, and wealth parity in youth literacy. These indicators were standardised and aggregated to develop the EEI. The study developed a multivariate regression model to identify the most influential parity factors affecting youth literacy outcomes. Data from UNESCO, the World Bank, and national education statistics were sourced. The findings revealed persistent inequities across gender, disability, geography, and economic status, with particularly pronounced disparities in adult participation, rural attainment, and youth literacy among poorer households. While parity in youth literacy and primary education completion has been largely achieved, inequities persist in secondary education completion and adult education. The findings further revealed that upper secondary completion had a strong positive impact on equity outcomes, whereas disparities in adult participation significantly hindered progress. This study conducted a comprehensive, data-driven examination of educational equity in South Africa. By presenting a novel index approach customised to SDG 4.5, it provided fresh insights into multidimensional inequalities and offered actionable evidence for targeted policy interventions. The study contributes to scholarship on inclusive education while highlighting practical pathways for South Africa to accelerate progress toward equity in line with global education commitments. Full article

The widespread application of Generative Artificial Intelligence (Gen-AI) is transforming educational practices and driving pedagogical innovation. While cultivating higher-order thinking (HOT) represents a central educational goal, its achievement remains an ongoing challenge. Current evidence regarding the impact of Gen-AI on HOT is relatively fragmented, lacking systematic integration, particularly in the analysis of moderating variables. To address this gap, a meta-analysis approach was employed, integrating data from 29 experimental and quasi-experimental studies to quantitatively assess the overall impact of Gen-AI on learners’ HOT and to examine potential moderating factors. The analysis revealed that Gen-AI exerts a moderate positive effect on HOT, with the most significant improvement observed in problem-solving abilities, followed by critical thinking, while its effect on creativity is relatively limited. Moderation analyses further indicated that the impact of Gen-AI is significantly influenced by experimental duration and learners’ self-regulated learning (SRL) abilities: effects were strongest when interventions lasted 8–16 weeks, and learners with higher SRL capacities benefited more substantially. Based on the research findings, this study proposed that Gen-AI should be systematically integrated as a targeted instructional tool to foster HOT. Medium- to long-term interventions (8–16 weeks) are recommended to enhance learners’ problem-solving and critical thinking abilities. At the same time, effective approaches should also be explored to promote creative thinking through Gen-AI within existing pedagogical frameworks. Furthermore, individual learner differences should be accounted for by adopting dynamic and personalized scaffolding strategies to foster SRL, thereby maximizing the educational potential of Gen-AI in cultivating innovative talents. Full article

This paper introduces novel non-parametric entropy-based evidence functions and associated test statistics for assessing the dilation order of probability distributions constructed from cumulative residual entropy and cumulative entropy. The proposed evidence functions are explicitly tuned to questions about distributional variability and stochastic ordering, rather than global model fit, and are developed within a rigorous evidential framework. Their asymptotic distributions are established, providing a solid foundation for large-sample inference. Beyond their theoretical appeal, these procedures act as effective entropy-driven tools for quantifying statistical evidence, offering a compelling non-parametric alternative to traditional approaches, such as Kullback–Leibler discrepancies. Comprehensive Monte Carlo simulations highlight their robustness and consistently high power across a wide range of distributional scenarios, including heavy-tailed models, where conventional methods often perform poorly. A real-data example further illustrates their practical utility, showing how cumulative entropies can provide sharper statistical evidence and clarify stochastic comparisons in applied settings. Altogether, these results advance the theoretical foundation of evidential statistics and open avenues for applying cumulative entropies to broader classes of stochastic inference problems. Full article

This meta-analysis synthesized 34 published single-case design studies on functional communication training (FCT) for young children with autism spectrum disorder (ASD). A systematic search of electronic databases and reference lists identified studies published between 1996 and 2021 involving 79 children with ASD aged 2 to 8. Quality evaluation using What Works Clearinghouse standards revealed that only 29.4% of studies met standards with or without reservations, primarily due to insufficient data points per phase. Most studies were conducted in home or school settings with therapists/researchers as primary implementers, followed by parents or caregivers. Low reporting rates were found for preference assessment, treatment fidelity, social validity, and maintenance and generalization effects. Overall, FCT demonstrated large effects for reducing challenging behavior (Tau-BC = 0.97) and moderate-to-large effects for increasing replacement behavior (Tau-BC = 0.78). Moderator analyses revealed significantly larger effect sizes in school versus home settings (p < 0.05). These findings further support FCT as an evidence-based practice for young children with ASD, although methodological rigor must be improved. Future research should systematically evaluate maintenance and generalization effects, develop effective parent training and support strategies, and report intervention dosage parameters to strengthen the evidence base and guide clinical implementation. Full article

This study addresses the critical issue of Food Waste (FW) across the 27 European Union (EU) member states by investigating its correlation with key socio-economic and environmental factors. Utilizing panel data regression with a fixed-effects model, this research controls for inherent country-specific characteristics to isolate the influence of variables, such as GDP per capita, educational attainment, environmental taxes, and economic burden on FW levels. The analysis reveals that FW is shaped by a complex interplay of factors, where economic affluence (GDP per capita) and financial stress (housing cost overburden) both exhibit a positive and statistically significant relationship with increased FW. Conversely, higher educational attainment, particularly at the bachelor’s and master’s degree levels, is strongly associated with reduced FW, emphasizing education’s role in promoting sustainable behavior. Environmental policy variables, including environmental taxes and circular material use, are negatively correlated with waste, suggesting effective indirect reduction. Notably, government support for agriculture demonstrates a positive association with FW, potentially indicating incentives for overproduction. These findings highlight the multidimensional nature of FW in the EU, necessitating comprehensive policy responses that integrate educational initiatives, economic levers, and sustainability-oriented reforms to promote resource-efficient consumption across the continent. By clarifying these relationships, this study contributes to the literature by providing one of the few examples of cross-country, EU-wide panel analyses that jointly consider economic, educational, and policy dimensions of FW. The findings offer practical implications for policymakers, emphasizing that FW reduction requires integrated strategies: strengthening environmental taxation and circularity initiatives, aligning agricultural subsidies with sustainability goals, and expanding educational programs that cultivate food-responsible behavior. Together, these insights support the design of more targeted and evidence-based interventions to reduce FW and promote resource-efficient consumption across the EU. Full article

The present systematic review aims to provide a comprehensive synthesis of evidence and practices regarding sustainable career transitions in elite sport. Following PRISMA guidelines, an extensive literature search was conducted in SPORTDiscus (EBSCOhost), PsycINFO, Scopus, Web of Science, and Google Scholar databases, resulting in 117 manuscripts, published from January 2015 to May 2025, and meeting the defined inclusion criteria. The review focused on mental health, dual-career pathways, transition readiness, and identity-related issues among elite athletes, Olympians, and Paralympians. Methodologies included qualitative, quantitative, and mixed-methods designs, with multisport and mixed-gender samples prevailing. The most commonly used instruments were semi-structured interviews and surveys. The main findings highlighted the centrality of mental health support, the role of dual-career planning, and the importance of proactive identity negotiation. Despite growing research interest, significant gaps persist in access to psychological support, structured transition planning, and dual-career strategies, with notable inconsistencies across countries and sports. The review emphasizes the necessity for integrated, multidimensional guidance, culturally sensitive psychological services, and flexible educational pathways to promote athlete well-being and sustainable post-sport careers. These insights are intended to inform the implementation of the ERASMUS+ funded PORTAL project, supporting evidence-based interventions and the development of resources such as an online platform and Real-Life Transition Officers to enhance the transition experiences of elite athletes. Full article

Soil health is crucial for the sustainability of agricultural practices and ecosystem resilience. Using a data mining approach, this study aims to explore emerging themes related to the impact of soil improvers on soil health by analyzing results from various EU-funded agricultural projects, with the final goal of identifying the key factors driving the effectiveness of soil amendments. By integrating data mining and text analysis, the study extracts, aggregates, and visualizes insights, providing a comprehensive overview of innovative strategies to enhance soil fertility and promote ecological balance. This integrated analytical framework offers a nuanced understanding of the conceptual landscape surrounding soil health in EU projects, highlighting the multifaceted roles of organic amendments and microbial solutions. Our findings underscore the critical link between organic amendments and soil health, highlighting their potential as strategic tools for achieving more sustainable agricultural systems. These findings provide a basis for refining soil management strategies in agriculture and support the development of evidence-based policies aimed at improving soil health and fostering ecological balance across Europe. Full article

Systemic lupus erythematosus (SLE) is a chronic multisystem autoimmune disorder in which ocular involvement represents a clinically significant yet frequently underrecognized contributor to morbidity. Ocular manifestations in SLE may arise from disease activity itself, but also as adverse effects of long-term pharmacological therapy. With the advent of targeted immunomodulatory agents, the therapeutic landscape of SLE has expanded beyond conventional drugs such as hydroxychloroquine and corticosteroids toward biologics and small molecules designed to interfere with specific immunological pathways. These advances have improved systemic disease control and survival; however, their ophthalmological safety profiles remain only partially defined. This review synthesizes current evidence on ocular adverse events associated with both traditional and emerging SLE therapies. Established agents, particularly hydroxychloroquine and corticosteroids, are consistently linked to complications including retinopathy, posterior subcapsular cataracts, steroid-induced glaucoma, and central serous chorioretinopathy. In contrast, recently approved or investigational therapies—such as belimumab, anifrolumab, voclosporin, dual BAFF/APRIL inhibitors, rituximab, JAK inhibitors, CD40/CD40L blockade, CD38 inhibition, and mesenchymal stromal cell-based strategies—have limited but evolving safety data, with potential ocular adverse events spanning inflammatory, vascular, neuro-ophthalmic, and structural domains. Although ocular complications appear infrequent in clinical trials, underdetection in real-world practice and insufficient long-term monitoring may underestimate their true incidence. These findings highlight the need for systematic ophthalmological surveillance in patients receiving immunomodulatory therapies for SLE. Early recognition and timely management of ocular toxicity are crucial to safeguarding visual function and optimizing long-term therapeutic outcomes in this vulnerable patient population. Full article

The Liaodong oak (Quercus wutaishanica Mayr) is dominant in the composition scheme in Qingyang City, and its growth performance and management practices have long been central concerns of forest management. However, the long cycles and complex dynamics of forest development make accurate prediction difficult, thereby constraining the design of optimal silvicultural strategies. To remedy the slow growth and suboptimal timber quality of Q. wutaishanica plantations—while fostering large-diameter trees, increasing merchantable yield and the output of high-value timber, and enhancing forests’ carbon-sequestration and oxygen-release services—there is an urgent need for a rigorous predictive framework. Using data from the sixth, seventh, and eighth National Forest Resource Inventories, we developed a transition-matrix growth model comprising growth, ingrowth, and mortality sub-models. With this model, we selected representative plots and simulated 25-year trajectories of stand diameter-class structure and growing stock under three climate scenarios (RCP2.6, RCP4.5, RCP8.5). Results indicate divergent trends in growing stock among scenarios; under RCP2.6, stands attain higher growing stock, a more balanced diameter-class distribution, and a markedly larger number of large-diameter trees. Moreover, Q. wutaishanica exhibits relatively stable growth throughout the simulation horizon. Overall, the transition-matrix model effectively captures short-term stand dynamics, fills a regional research gap for Qingyang City, and provides a robust evidence base for subsequent science-based forest management. Full article

With the growing emphasis on bio-engineering techniques, the sustainable advantages of using trees as barriers against rockfalls have become increasingly evident. The key mechanism for forest protection against rockfalls is the dissipation of block kinetic energy during impacts. However, previous studies have primarily focused on the overall attributes of protection forests, with limited attention to the quantitative relationship between internal spatial structural parameters and protective effectiveness. This study systematically investigated the effects of tree diameter, plant spacing, and arrangement pattern on rockfall energy dissipation through physical experiments. The results indicate that: (1) The energy dissipation capacity of trees increases with tree diameter; however, the rate of increase declines significantly when the relative diameter (the ratio of tree diameter to block size) exceeds 0.4. (2) Rockfall energy dissipation increases with reduced plant spacing, but the resultant gain exhibits a diminishing trend. (3) Under otherwise identical conditions, the rhombus arrangement pattern achieved a significantly higher rockfall energy dissipation rate (82.67%) than the square pattern (49.28%). Based on the experimental findings, an optimized protection scheme was designed for a typical rockfall on the slope of the Lehong Tunnel in Yunnan Province, southwestern China. Three-dimensional numerical simulation validated the designed scheme. The designed protection forests dissipated 89.49% of the kinetic energy from 0.5 m blocks, demonstrating the practical efficacy of the parameters derived from experiments. This study quantifies the influence of internal spatial structure parameters on the protective effectiveness of forests against rockfalls, providing a valuable theoretical basis and practical guidance for the design of ecological prevention measures against rockfall hazards. Full article

Background/Objectives: Temperature control after cardiac arrest remains a recommended component of post-cardiac arrest care, yet substantial practice variability persists. Conflicting evidence regarding optimal temperature targets and mixed interpretations of recent trials, such as TTM2, may contribute to inconsistent bedside implementation. Understanding physician knowledge, attitudes, and practice patterns is essential for aligning post-cardiac arrest management with evolving evidence. This study aimed to characterize international physician perceptions of temperature control, patterns of use, understanding of neurologic injury, and the influence of emerging literature. Methods: A 39-item web-based survey was developed through iterative expert review and pilot testing and disseminated to members of critical care, neurology, and emergency medicine societies between September 2021 and January 2022. The instrument assessed demographics, temperature control practices, interpretation of new literature, and post-cardiac arrest management. Responses were analyzed using descriptive statistics in R Studio, with proportions reported for categorical variables and mode responses for ranked questions. Results: Among 501 respondents, 471 (94%) completed the survey. Most were attending-level physicians (73%), primarily practicing intensive care medicine (75%), and based in academic centers (60%). Targeted temperature management (TTM) was commonly initiated by the admitting intensivist (66%), most often because guidelines recommended it (67%). The most influential factors driving initiation were institutional protocols (21%), perceived neurologic prognosis (17%), and arrest etiology (14%). The most frequently selected temperature target was 36 °C (44%). Awareness of the TTM2 trial was high (70%), though only 31% reported altering their practice in response. Neurologists were more likely to individualize temperature targets and select lower temperatures, while physicians caring for higher cardiac arrest volumes also favored lower targets. Community clinicians more commonly selected lower temperature targets compared with those in academic settings. Conclusions: Substantial heterogeneity exists in the practice and rationale for temperature control after cardiac arrest. Physician specialty, cardiac arrest volume, and local practice environment influence the temperature target selection and attitudes toward emerging evidence. Despite awareness of new data, institutional protocols remain the dominant factor guiding implementation. Standardized, evidence-based institutional pathways may help reduce practice variability and promote consistent post-cardiac arrest care. Full article

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition affecting children, adolescents, and adults worldwide. Despite evidence-based treatments, long-term functional outcomes remain variable due to heterogeneity in symptoms, comorbidities, and environmental contexts. Digital technologies, including AI-augmented digital Clinical Decision Support Systems (CDSSs), are increasingly proposed to support more precise and personalized ADHD care. This concept paper provides a theoretical discussion of the potential applications of CDSSs in ADHD rehabilitation and examines key considerations for system design, usability, and ethical implementation. Discussion: CDSSs and AI technologies offer conceptual promise for enhancing ADHD care by integrating patient-specific data to guide diagnosis, intervention planning, monitoring, and outcome prediction. Incorporating Human–Computer Interaction (HCI) principles is critical to ensure systems are intuitive, engaging, and supportive of adherence, particularly for children and adolescents with ADHD. Ethical, practical, and implementation challenges, including data privacy, equity, and variability in healthcare infrastructures, must be addressed. Thoughtful design and governance of AI-supported CDSSs may improve decision-making, optimize functional outcomes, and facilitate more individualized rehabilitation pathways. Conclusions: The paper concludes by emphasizing future research directions that may include translating conceptual frameworks into empirically testable models, developing guidelines for user-centered and ethically responsible technology deployment, and evaluating long-term impacts on clinical outcomes. By providing a theoretical foundation, this paper aims to guide the integration of AI-augmented CDSSs into technology-assisted ADHD rehabilitation while highlighting the importance of ethical, practical, and human-centered design considerations. Full article