Search Results (19,881)

Rapid urbanization and population growth have intensified solid waste management (SWM) challenges in developing countries, where institutional capacity and stakeholder participation remain limited. Existing studies, particularly in the context of Pakistan, largely examine isolated technical or environmental aspects, with limited integration of sustainability dimensions and stakeholder dynamics. This study develops and empirically validates an integrated structural equation modeling (SEM) framework to examine the interrelationships among sustainable solid waste management systems (SSWM), stakeholder engagement (SE), and solid waste management strategies (SWMS). Primary data were collected from 420 stakeholders representing diverse groups. The measurement model demonstrated strong reliability and validity, while the structural model exhibited excellent fit indices. Results indicate that economic, social, technical and environmental and institutional dimensions significantly shape SSWM. Structural path analysis reveals that SSWM significantly influences SE and SWMS, while SE has a significant effect on SWMS. Mediation analysis confirms that SE partially mediates the relationship between SSWM and SWMS, highlighting the critical role of participatory governance. The findings demonstrate that achieving sustainable waste management requires the integration of system-level capacity, stakeholder engagement, and strategic implementation. This study contributes to the sustainability literature by providing a holistic framework and providing understanding for policymakers to promote circular economy practices and resource efficiency in developing countries. Full article

Against the dual objectives of food security and sustainable agriculture, this study examines how agricultural machinery services—China’s primary organized mode of agricultural production—affect agricultural carbon emissions. Using panel data covering 30 provinces in China from 2010 to 2022, this study applies two-way fixed effects, mediation, and moderation models to investigate the effects of these services on carbon emissions as well as the mechanisms involved. The results show: (1) Both carbon emissions and the level of machinery services in China differ by region and over time. Carbon emissions are stabilizing, while machinery services are steadily improving. Both variables cluster in certain areas. (2) Machinery services exhibit a significant inverted U-shaped impact on carbon emissions. As the level of machinery services grows, emissions first rise, then fall. (3) The emission reduction impact of machinery services varies widely. It differs across topographic relief, farmland types, and grain crop types, but the inverted U-shaped relationship remains in most cases. (4) The efficiency of the division of labor and agricultural chemical input intensity partly explain the effect. They help reduce emissions by enabling labor substitution and lower input levels. (5) Large-scale agricultural operations strongly influence how machinery services affect carbon emissions. To accelerate the low-carbon sustainable transformation of Chinese agriculture, efforts should prioritize establishing a differentiated, regionally tailored agricultural machinery socialized service system, improving service efficiency and green development capacity, and optimizing large-scale land management structures. Full article

Background: Sustainable and smart logistics transition requires tools that connect environmental, energy, social and digital performance with transport structure. This study proposes an exploratory classification framework for European maritime–port logistics systems using Eurostat-based country-year observations. Methods: A composite transition profile was constructed from environmental, energy, social and digital indicators using min–max normalization, equal weighting and tercile classification into low, medium and high profiles. A shallow decision tree classifier was applied to identify transport, modal structure and maritime–port activity variables that discriminate between profiles. Results: Road freight transport intensity was the main discriminator, followed by inland passenger modal structure variables. Maritime–port activity variables were included in the initial predictor set but were not retained by the final tree, indicating that transition profiles are more strongly differentiated by inland logistics and modal configuration at the country-year level. The model showed moderate performance, with a five-fold cross-validated accuracy of 0.561, above the majority-class baseline. Conclusions: The framework provides an interpretable diagnostic tool for identifying logistics-related transition patterns and supporting sustainable logistics planning. Its exploratory scope and data limitations are explicitly acknowledged. Full article

Public spaces are important components of urban life, supporting social interaction, recreation, and environmental outcomes. Their success, however, depends not only on their physical provision but also on governance structures that guide their daily operation and maintenance routines. This study examines how operational governance and management practices influence user perception of public spaces by comparing two urban parks in Kathmandu: Ratna Park, a major city-level space, and Nandi Keshwor Bagaicha Park, a neighborhood-scale park. Using a mixed-method approach, the research employed a user survey (n = 191), interviews, and field observations. Survey data were used to develop composite indices for maintenance, safety, amenities, and user comfort. Descriptive statistics, Pearson correlations, independent-samples t-tests, and multiple regression models were used to examine the influence of governance on user perception. The findings reveal notable differences between the two parks. Nandi Keshwor Bagaicha Park scored higher on perceived safety (mean = 4.30) and comfort (mean = 4.01), while Ratna Park showed stronger performance in amenities (mean = 3.91). Although correlations between governance indicators and comfort were weak, regression analyses showed that maintenance, safety, and amenities accounted for only a small portion of the comfort variance (r² = 0.03). These findings indicate that operational variables alone do not fully explain user perception and suggest that broader management practices and patterns of use may also influence perceptions of comfort. This study provides exploratory empirical insight into public space governance and highlights the importance of strengthening operational systems and management practices in contemporary cities. Full article

Introduction: Marine recreational fishing (MRF) is a socially, economically, and ecologically important activity. However, the absence of systematic monitoring and research in Portugal has limited a comprehensive understanding of the sector and its broader implications. Addressing these gaps is essential to support evidence-based and adaptive recreational fisheries management. Objective: This work aimed to improve understanding of marine recreational fishing in Portugal by integrating social and biological perspectives across national, regional, and local scales. Methodology: A multidisciplinary approach was applied. At the national scale, online questionnaire data were combined with licencing information and regional effort estimates to quantify fishing effort, catches, release rates, catch composition, and direct trip expenditures. The same survey framework was also used to identify recreational fisher profiles based on motivations, behaviours, fishing practices, and attitudes toward management. At the local scale, shore angling surveys conducted before the implementation of the Natural Marine Park of the Algarve Reef were used to estimate fishing activity and establish a baseline for future monitoring. From a biological perspective, field-based catch-and-release experiments were conducted to assess post-release mortality and physiological disturbance, using indicators such as mortality, condition, capture and handling variables, and blood biomarkers of stress and recovery. Results: The national estimates documented substantial fishing effort, catches, and direct expenditure, confirming the relevance of MRF in Portugal at both ecological and socio-economic levels. Portuguese recreational fishers were also shown to be heterogeneous in their motivations, behaviours, and practices, reinforcing the need for management approaches that reflect this diversity. At the local scale, shore angling estimates from the Natural Marine Park of the Algarve Reef provided an important pre-protection baseline for the now established Marine Protected Area, enabling future comparisons and long-term assessment of management effects. Biological experiments showed that recreational fishing can generate measurable physiological disturbance in fish, with post-release condition influenced by capture and handling factors. Among the variables examined, hook location emerged as particularly important, with deep-hooked fish showing greater impairment and higher mortality risk. Conclusions: Together, these findings show that improving recreational fisheries management in Portugal requires integrating social patterns, fishery magnitude, and biological responses to capture and release. Long-term monitoring programmes, combined with management approaches adapted to different fisher profiles and fishing contexts, are essential to support more effective and sustainable recreational fisheries governance. Full article

Coal mining has historically been a central economic, cultural, and social cornerstone of Appalachian communities. The decline of the coal industry, driven by technological changes, competition from natural gas and renewable energy, environmental regulations, and evolving energy markets, has created major economic and environmental challenges for coal-dependent regions. This study examines Kentucky residents’ perceptions of coal decline and how socio-demographic factors shape environmental concern. Data was collected from 685 Kentucky residents through a statewide online survey conducted in December 2023. Ordered logistic regression was used to examine the influence of gender, age, rural residence, and political affiliation on concerns regarding climate change, environmental degradation, extinction of endangered species, air pollution, and water pollution. Respondents identified health and safety concerns, cleaner energy alternatives, government incentives, and technological changes as major contributors to coal decline, while climate change was viewed as less significant. The findings also reveal support for workforce retention and training in sectors such as construction, transportation, utility work, and renewable energy. Female respondents expressed high levels of environmental concern, while rural residents and Republicans reported lower concern regarding climate change and environmental degradation. Full article

Protecting the safety and well-being of children in public child welfare is one of the most critical and demanding jobs in social work. Burnout, secondary traumatic stress, and moral injury are prevalent in this field and often occur simultaneously. This intersectional experience impacts the deepest level of a person—their soul. When left unaddressed, these soul wounds come at a high cost to the workers, organizations they work for, the clients they serve, and their greater communities. This qualitative study sought to explore and identify the characteristics of soul care and the power it has to transform the lived experiences of child welfare workers. Collaborative, semi-structured interviews were conducted with seven workers who had been in this field for 10 or more years and described themselves as having good soul care. Findings from this study concluded the combination of strongly held core beliefs and engagement in a steady regulation loop constituted soul care. Soul care can occur regardless of circumstance. When a soul wound occurs, the Soul Wound Cycle is activated. The momentum of the regulation loop propels one’s movement through this cycle, allowing the processing of the soul wound, resulting in increased resiliency and regaining of equilibrium, ultimately leading to better outcomes for children. Full article

Understanding the impact of neighborhood-level factors on stroke prevalence is crucial for addressing existing disparities. However, there is a distinct lack of ecological studies at the census tract level that investigate the social determinants of health (SDOH) influencing stroke prevalence within the U.S. Health and Human Services Region 3 (HHS Region 3: Delaware, Maryland, Pennsylvania, Virginia, West Virginia, and the District of Columbia). This study adopted a multivariate modeling approach to investigate the association between the 13 indicators of the Health Opportunity Index (HOI) and stroke prevalence at the census tract level in HHS Region 3 using four HOI indicator profiles and to highlight the specific SDOHs that are most associated with stroke prevalence. The four HOI indicator profiles include: (a) neighborhood and built environment profile, (b) social and community context profile, (c) resource profile, and (d) economic profile. The methodological approach was quantitative, using secondary data. The sample size was 8021 census tracts. The HOI was estimated for each census tract in the study area. Ordinary least squares regression (OLS) analysis and spatial lag model (SLM) were run to examine whether the 13 indicators of the HOI (categorized into four profiles) reliably predict stroke prevalence and to determine the most appropriate model that best identifies the strongest predictors of stroke prevalence. The results show that affordability, education, spatial segregation, and income inequality indicators were the strongest predictors of stroke prevalence in HHS Region 3. This granular research identifies the neighborhood-level SDOH most strongly linked to stroke prevalence, which can be leveraged to guide the development of targeted public health programs, quality improvement initiatives, resource allocation, and policy creation to combat stroke-related morbidity and mortality across census tracts in HHS Region 3. For example, the built environment, encompassing factors like employment access, affordable housing, and walkability, profoundly influences stroke prevalence and provides urban planners with practical insights for developing healthier, more equitable communities, such as creating neighborhood parks to encourage physical activity, a key factor in stroke prevention. This study also provides neighborhood organizations with the evidence needed to pursue grant funding and raise awareness about the socio-structural influences on stroke outcomes in their respective neighborhoods. Lastly, the insights generated from our study can facilitate collaborative decision-making processes with communities in HHS Region 3 regarding the prioritization of neighborhood-level SDOH for targeted public health interventions. This prioritization should focus on addressing predictors of stroke prevalence that are congruent with the community’s established priorities, thereby maximizing cost savings. Full article

Background/Objectives: Patient experience is increasingly recognised as a key dimension of healthcare quality, yet most tools fail to capture its temporal and processual nature, limiting its contribution to system improvement. This study aimed to demonstrate how a biographical approach to patient experience can generate actionable insights for improving care pathways. Specifically, we sought to: (i) identify and characterise distinct types of prehospital care pathways among patients hospitalised for COVID-19; (ii) identify patient-perceived significant events and safety issues; and (iii) generate structured variables to inform a subsequent quantitative phase. Methods: We conducted semi-structured biographical interviews with 31 patients hospitalised for COVID-19 in two French university hospitals. Data were collected using a life-events calendar (LEC), enabling day-by-day reconstruction of symptoms, healthcare contacts, and decision-making processes. Thematic analysis was performed with multidisciplinary triangulation. The qualitative phase identified three pathway types and the key mechanisms underlying each; these patterns were subsequently confirmed in a separate quantitative follow-up study (n = 312) using state sequence analysis. Results: Three distinct pathway types emerged: short (≤3 days), intermediate (4–9 days), and long (≥10 days). Delayed pathways were associated with repeated false-negative tests, underestimation of severity, and silent hypoxaemia. Across all pathways, patient experience suggested critical system-level failures, including diagnostic delays and inadequate escalation of care. Notably, in many cases, hospitalisation was triggered by a relative rather than a healthcare professional. These findings highlight the role of patient and social context as key components of care pathways. Conclusions: When captured longitudinally, patient experience may provide actionable insights into healthcare system functioning, suggesting structural mismatches between clinical trajectories and care responses. The life-events calendar method offers a replicable framework for transforming patient experience data into clinically and organisationally relevant knowledge. Integrating such approaches into healthcare evaluation could enhance patient safety, improve care coordination, and support more responsive care systems beyond COVID-19. Full article

Population aging has become a major demographic process in modern societies, with its course varying considerably across space. This study examined the scale and dynamics of population aging across Poland’s voivodeships in 2015–2024 and identified its regional patterns. The analysis used data from Statistics Poland’s Local Data Bank for 16 voivodeships and included indicators capturing age composition, demographic dependency, and fertility. The analysis was conducted for 16 Polish voivodeships using data from Statistics Poland’s Local Data Bank for 2015–2024 and indicators describing age structure, demographic dependency, and fertility. An analysis of changes in indicator values over time and Kohonen self-organizing maps (SOM) were applied in two model variants, differing in the measure of population aging adopted. To ensure a consistent direction of interpretation, the variables were appropriately transformed and then standardized. The results indicate spatial variation in the level of population aging and differing dynamics of change during the study period. Four regional profiles were identified, reflecting different patterns of indicators describing age structure, demographic burden, and fertility. Kohonen self-organizing maps were used as an exploratory tool to organize voivodeships according to the similarity of their demographic profiles and to describe changes in their profile assignment over time. From the perspective of sustainability, the identified profiles make it possible to capture territorially differentiated demographic conditions that may be relevant to healthcare, long-term care, regional labor markets, social services, and family policy. The results may support sustainable regional development by providing a basis for designing public policy tailored to the specific characteristics of individual voivodeships. Thus, the study links a multidimensional typology of demographic aging with the need for socially sustainable regional policy. The results suggest that SOM can serve as a useful exploratory tool for visualizing and classifying regional demographic aging profiles. Full article

Life satisfaction (LS) is an important indicator of subjective well-being among college students. However, relatively few studies have integrated variable-centered and person-centered approaches to examine the associations among physical activity (PA), social support (SS), and LS in female college students. This cross-sectional study surveyed 2097 female college students from 11 universities in Jiangxi Province, China. PA, SS, and LS were assessed using self-report questionnaires. A mediation model was used to examine whether SS statistically mediated the association between PA and LS after controlling for education level and place of origin. Latent profile analysis was then conducted using six LS items, and the BCH method was used to compare PA and SS across profiles. The results showed that PA was positively associated with SS and LS, and SS was positively associated with LS. The indirect association between PA and LS through SS was statistically significant, suggesting a partial statistical mediation pattern. Latent profile analysis identified three level-based LS profiles: low-, medium-, and high-LS profiles. PA and SS increased progressively across these profiles, with the highest levels in the high-LS profile and the lowest levels in the low-LS profile. These findings suggest that PA, SS, and LS are closely interrelated and that meaningful quantitative heterogeneity exists in LS among female college students. Given the cross-sectional design and convenience sampling, the findings should be interpreted as statistical associations rather than causal effects. Full article

Objectives: This study investigated the interplay between pre- and post-match physiological responses and subsequent emotional changes in male water polo players competing in the Italian Serie C league (third national level, sub-elite), focusing on differences between official championship (competitive) and non-competitive (training) settings. Methods: Sixteen male Italian Serie C water polo players participated. Salivary biomarkers (cortisol, immunoglobulin A (IgA), and uric acid) were measured, alongside psychological assessments of cognitive anxiety, somatic anxiety, and self-confidence. Measurements were taken before and after both training and competition matches. Results: A significant anticipatory rise in salivary cortisol was observed before competition matches compared to training, highlighting the psychological stress associated with competitive events. Post-match, cortisol levels remained elevated to a greater extent after competition. Salivary IgA levels decreased significantly following both training and competition, with a more pronounced reduction after official matches, and exhibited a negative correlation with cortisol. Salivary uric acid, a marker of oxidative stress, increased post-exercise and was significantly higher after competition. Players reported higher somatic and cognitive anxiety and lower self-confidence before competition compared to training, and pre-competition cortisol levels were positively correlated with both anxiety measures and negatively correlated with self-confidence. Conclusions: These findings highlight the distinct physiological and psychological responses elicited by competitive versus non-competitive settings in water polo, emphasizing the importance of considering the emotional context when monitoring athletes’ stress and recovery. The social meaning of competitive contexts may be embodied, impacting stress and immune responses. Full article

The rapid proliferation of image editing tools poses unprecedented challenges to information sustainability and social trust, as malicious digital forgeries can easily contaminate public discourse, news reporting, and legal forensics. Advanced image editing techniques make image tampering increasingly difficult for the naked eye to recognize, which requires highly accurate methods for detecting and localizing image tampering. In this paper, an end-to-end network model named AEM-Net is proposed. AEM-Net combines RGB and SRM features to enhance the model’s sensitivity to image details and potentially tampered regions through multi-scale feature extraction and fusion. AEM-Net consists of the HRNet-based Multiscale Feature Extraction Module and the Context-Aggregated Pyramid Localization Module (CAPLM). The multi-scale feature extraction module utilizes the Attentional Perceptual Feature Fusion Module to adaptively focus on the anomalous regions. In contrast, the CAPLM utilizes the Expanded Convolutional Feedback Enhancement Module to effectively exploit contextual feature information for achieving pixel-level localization of tampered regions. Experimental results on public benchmark datasets demonstrate that AEM-Net achieves superior performance compared with existing state-of-the-art methods. In particular, AEM-Net achieves an AUC/F1 score of 95.36%/67.19% on CasiaV1, 93.25%/79.75% on Coverage, and 87.36%/66.24% on NIST16, while requiring only 0.09 s to process a single image, demonstrating both high localization accuracy and computational efficiency. Full article

Background/Objectives: This study sought to investigate the relationship between workplace violence exposure and job burnout among Korean paramedics and the moderating roles of different sources of social support, including family, coworker, and organizational support, on this relationship. Methods: Participants were 175 paramedics working in B city, South Korea. Data were collected through an online survey conducted from 15 July to 30 July 2025. Workplace violence exposure, family support, coworker support, organizational support, and job burnout were assessed using validated self-report questionnaires. Descriptive statistics, correlation analyses, and three-step hierarchical regression analyses were performed using the SPSS program. Results: Workplace violence exposure was positively associated with job burnout among paramedics. Among the three sources of social support, organizational support was associated with lower levels of job burnout. Family support moderated the association between workplace violence exposure and job burnout, whereas the moderating effects of coworker support and organizational support were not statistically significant. Conclusions: The findings suggest that organizational support and family-based support strategies may be important resources for addressing job burnout among paramedics exposed to workplace violence. These findings may contribute to a better understanding of support mechanisms associated with job burnout among paramedics and inform future intervention development and organizational support strategies. Full article

Background and Objectives: Quality of life (QoL) is an important issue for breast cancer (BC) survivors. The objective of this study was to assess health-related QoL (HRQoL) of BC patients and investigate the impact of different demographic and clinical factors on physical and social functioning and BC-related symptoms. Materials and Methods: In this cross-sectional study, 107 BC patients undergoing chemotherapy in Greece completed a questionnaire collecting sociodemographic and clinical information and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 (EORTC QLQ-C30) in order to assess HRQoL. Descriptive statistics and multiple linear regression analyses were used to identify factors linked to HRQoL outcomes. Results: Overall, participants reported moderate HRQoL, with high physical and social functioning and moderate emotional, cognitive, and role functioning. Fatigue was the most common symptom, whereas other symptoms were generally uncommon. Multiple regression analyses showed that marital status, place of residence, time since diagnosis, and type of surgery were significantly associated with the global QLQ-C30 score (R² = 0.337, p < 0.001). Physical functioning was associated with comorbidity burden, time since diagnosis, and employment status (R² = 0.155, p = 0.035), and social functioning with marital status and type of surgery (R² = 0.171, p = 0.011). Emotional functioning showed exploratory associations with place of residence and type of surgery; however, the overall regression model for emotional functioning did not reach statistical significance. No symptom model reached overall significance, but time since diagnosis, treatment type, and surgery were linked to distinct symptoms. Conclusions: BC patients undergoing chemotherapy in Greece report an overall moderate level of HRQoL, which is significantly influenced by a combination of demographic and clinical factors; physical and social functioning were high, with moderate emotional, cognitive, and role functioning. These findings highlight the importance of individualized supportive care strategies in order to improve QoL of BC patients. Full article