Search Results (685)

Heavy metal pollution represents a pervasive environmental challenge that significantly exacerbates the ever-increasing crisis of antimicrobial resistance and the capacity of microorganisms to endure and proliferate despite antibiotic interventions. This review examines the intricate relationship between heavy metals and AMR, with an emphasis on the underlying molecular mechanisms and ecological ramifications. Common environmental metals, including arsenic, mercury, cadmium, and lead, exert substantial selective pressures on microbial communities. These induce oxidative stress and DNA damage, potentially leading to mutations that enhance antibiotic resistance. Key microbial responses include the overexpression of efflux pumps that expel both metals and antibiotics, production of detoxifying enzymes, and formation of protective biofilms, all of which contribute to the emergence of multidrug-resistant strains. In the soil environment, particularly the rhizosphere, heavy metals disrupt plant–microbe interactions by inhibiting beneficial organisms, such as rhizobacteria, mycorrhizal fungi, and actinomycetes, thereby impairing nutrient cycling and plant health. Nonetheless, certain microbial consortia can tolerate and detoxify heavy metals through sequestration and biotransformation, rendering them valuable for bioremediation. Advances in biotechnology, including gene editing and the development of engineered metal-resistant microbes, offer promising solutions for mitigating the spread of metal-driven AMR and restoring ecological balance. By understanding the interplay between metal pollution and microbial resistance, we can more effectively devise strategies for environmental protection and public health. Full article

This study evaluates the impact of digital systems and IT audit frameworks on tax performance and integrity within tax administrations. Using international data from organizations like the World Bank, OECD (Organisation for Economic Co-operation and Development), and IMF (International Monetary Fund), the research examines the relationship between tax revenue as a percentage of GDP, digital infrastructure, corruption perception, e-government development, and cybersecurity readiness. Quantitative analysis, including correlation, regression, and clustering methods, reveals a strong positive relationship between digital maturity, e-governance, and tax performance. Countries with advanced digital governance systems and robust IT audit frameworks, such as COBIT, tend to show higher tax revenues and lower corruption levels. The study finds that e-government development and anti-corruption measures explain over 40% of the variance in tax performance. Cluster analysis distinguishes between digitally advanced, high-compliance countries and those lagging in IT adoption. The findings suggest that digital transformation strengthens fiscal integrity by automating compliance and reducing human contact, which in turn mitigates bribery risks and enhances fraud detection. The study highlights the need for adopting international best practices to guide the digitalization of tax administrations, improving efficiency, transparency, and trust in public finance. Full article

Rapid industrialization and urbanization have progressed in Korea, yet public attention to hazardous pollutants emitted from industrial complexes remains limited. With the increasing coexistence of industrial and residential areas, there is a growing need for real-time monitoring and management plans that account for the rapid dispersion of hazardous air pollutants (HAPs). In this study, we conducted spatiotemporal data collection and analysis for the first time in Korea using real-time measurements obtained through mobile extractive differential optical absorption spectroscopy (Me-DOAS) mounted on a solar occultation flux (SOF) vehicle. The measurements were conducted in the Saha Sinpyeong–Janglim Industrial Complex in Busan, which comprises the Sasang Industrial Complex and the Sinpyeong–Janglim Industrial Complex. BTEX compounds were selected as target volatile organic compounds (VOCs), and real-time measurements of both BTEX and fine particulate matter (PM) were conducted simultaneously. Correlation analysis revealed a strong relationship between PM₁₀ and PM_2.5 (r = 0.848–0.894), indicating shared sources. In Sasang, BTEX levels were associated with traffic and localized facilities, while in Saha Sinpyeong–Janglim, the concentrations were more influenced by industrial zoning and wind patterns. Notably, inter-compound correlations such as benzene–m-xylene and p-xylene–toluene suggested possible co-emission sources. This study proposes a GIS-based, three-dimensional air quality management approach that integrates variables such as traffic volume, wind direction, and speed through real-time measurements. The findings are expected to inform effective pollution control strategies and future environmental management plans for industrial complexes. Full article

This study investigates the relationships between proactive personality, psychological capital, work engagement, work well-being, and innovative work behavior among employees in Saudi public authorities, based on the conservation of resources theory and the job demands-resources model. Using a sequential mediation model, data from 457 public employees were analyzed through structural equation modeling. The results show that a proactive personality and psychological capital significantly predict work engagement, but neither is significantly related to work well-being. Notably, while a proactive personality does not directly impact innovative work behavior, psychological capital does. Additionally, work well-being partially mediates the relationship between work engagement and innovative work behavior. These findings suggest that enhancing psychological capital and fostering engagement are key to promoting innovation. The mediating role of well-being highlights the importance of employee welfare in this process. This study provides practical implications for HR managers in the Saudi public sector and emphasizes strategies for building internal psychological resources. However, as data were collected from a single source, future research should include multiple key informants to enhance generalizability. This study builds on theory by demonstrating how proactive personality and psychological capital jointly stimulate innovative behavior through engagement and well-being, enriching the job demands-resources model with personal resource dynamics in public sector organizations. Full article

Cybersecurity threats increasingly originate from human actions within organizations, emphasizing the need to understand behavioral factors behind non-compliance with information security policies (ISPs). Despite the presence of formal security policies, insider threats—whether accidental or intentional—remain a major vulnerability. This study addresses the gap in behavioral cybersecurity research by developing an integrated conceptual model that draws upon Operant Conditioning Theory (OCT), Protection Motivation Theory (PMT), and the Theory of Planned Behavior (TPB) to explore ISP compliance. The research aims to identify key cognitive, motivational, and behavioral factors that shape employees’ intentions and actual compliance with ISPs. The model examines seven independent variables of perceived severity: perceived vulnerability, rewards, punishment, attitude toward the behavior, subjective norms, and perceived behavioral control, with intention serving as a mediating variable and actual ISP compliance as the outcome. A quantitative approach was used, collecting data via an online survey from 302 employees across the public and private sectors. Structural Equation Modeling (SEM) with SmartPLS software (v.4.1.1.2) analyzed the complex relationships among variables, testing the proposed model. The findings reveal that perceived severity, punishment, attitude toward behavior, and perceived behavioral control, significantly and positively, influence employees’ intentions to comply with information security policies. Conversely, perceived vulnerability, rewards, and subjective norms do not show a significant effect on compliance intentions. Moreover, the intention to comply strongly predicts actual compliance behavior, thus confirming its key role as a mediator linking cognitive, motivational, and behavioral factors to real security practices. This study offers an original contribution by uniting three well-established theories into a single explanatory model and provides actionable insights for designing effective, psychologically informed interventions to enhance ISP adherence and reduce insider risks. Full article

Loess deposits in China, covering extensive regions, exhibit distinctive physical and mechanical characteristics, including collapsibility and reduced mechanical strength. These properties contribute to heightened susceptibility to slope-related geological hazards, such as landslides and collapses, in these areas. The widespread distribution and challenging prevention of these geological disasters have emerged as significant impediments to both public safety and economic development in China. Moreover, geological disaster data originates from diverse sources and exists in substantial fragmented, decentralized, and unstructured formats, including textual records and graphical representations. These datasets exhibit complex structures and heterogeneous formats yet suffer from inadequate organization and storage due to the absence of unified descriptive standards. The lack of systematic categorization and standardized representation significantly hinders effective data integration and knowledge extraction across different sources. To address these challenges, this study proposes a novel loess slope stability assessment method employing a dendrogram neural network (GNN-TreeNet) integrated with knowledge graph technology. The methodology progresses through three phases: (1) construction of a multi-domain knowledge graph integrating a large number of loess slopes with historical disaster records, instability factor relationships, and empirical parameter correlations; (2) generation of expressive node embeddings capturing inherent connections via graph neural networks; (3) development and training of the GNN-TreeNet architecture that leverages the graph’s enhanced representation capacity for stability evaluation. This structured framework enables cross-disciplinary data synthesis and interpretable slope stability analysis through a systematic integration of geological, geographical, and empirical knowledge components. Full article

Background/Objectives: Although public health organizations encourage family walking, no studies have examined children’s physical activity and enjoyment during outdoor parent–child walks. This study addresses those gaps by examining children’s moderate-to-vigorous physical activity (MVPA) and enjoyment during outdoor walks with their parents, along with parental barriers and their relationship with parent’s self-efficacy and co-activity minutes. Methods: Fifty parent–child dyads (children aged 6–12 years) completed 10 min, self-paced outdoor walks while wearing waist-worn ActiGraph monitors. Parents reported perceived barriers to walking outdoors with their child and self-efficacy for supporting their child’s daily physical activity. Results: Children reported high enjoyment (mean = 5.1 on a six-point scale) and attained high physical activity intensity (71.3% of time in MVPA, 22.0% in vigorous activity, mean step count = 1200). Parents reported an average of 2.6 barriers (SD = 1.0) to walking outdoors with their child, with poor weather (70%) and lack of time (70%) reported most frequently. Each additional barrier was associated with a 1.3-point reduction in parents’ self-efficacy (p = 0.007). Two barriers (‘diverse interests between parent and child’ and ‘other parent-suggested barriers’) were significantly associated with fewer co-activity minutes per week (p < 0.001). Conclusions: Our study highlights the benefits of parent–child outdoor walking for promoting MVPA and enjoyment in children. Because perceived barriers may lower parents’ self-efficacy in supporting their child’s physical activity, addressing these barriers may be essential for the success of family-based interventions that encourage walking together outdoors. Full article

Increasing the use of healthcare facilities has resulted in the growing production of biomedical waste, which poses health risks to users, health professionals, and the environment. The aim of this research is to study the correlation between governance in Togo’s public health facilities and the quality of biomedical waste management within these facilities. Methods: This was a cross-sectional, descriptive, and analytical study conducted from September to December 2024. It involved 264 public health facilities of all types in all health regions of Togo. Health facilities were selected using the simple random selection technique. Healthcare providers were selected using the reasoned choice technique. The statistical tests used were the chi-square test and logistic regression, which enabled proportions to be compared and confounding factors to be eliminated, respectively. Results: Multivariate analysis revealed a statistically significant association between the organization and training component of governance and the quality of biomedical waste management (BMWM) in health facilities (OR = 3.79; 95% CI [1.79–8.03]; p < 0.001). This relationship suggests that health facilities with functional infection prevention and control (ICP) or BMWM committees, trained staff at all levels (nursing, technical, and administrative), and dedicated waste management personnel are more likely to implement compliant waste management practices. Analyses of the data also revealed that, among the criteria for assessing the quality of biomedical waste management (BMWM), the most significant were sorting (OR = 1.482; 95% CI [1.286; 1.708]), quantification (OR = 2.026; 95% CI [1.491; 2.753]), transportation (OR = 1.403; 95% CI [1.187; 1.66]), and disposal infrastructure (OR = 1.604; 95% CI [1.298; 1.982]). The application of this grid shows that 17.8% of the health facilities surveyed had a score equal to or above 80% on all the criteria used to assess the quality of biomedical waste management, and they were therefore managing waste in an “acceptable” manner. The study highlights key findings in biomedical waste management practices, providing actionable insights for improving public health safety. Full article

This article describes a case study of the partnership between Healthy Birth Initiatives, a community-based organization (CBO) and Black-led public health nurse home visiting program, and the maternal health division of the Providence Health System located in the Pacific Northwest. This study’s purpose was to explore the formation, significance, and impact of this partnership from the perspectives of staff and leadership members from both organizations. We conducted a case study through qualitative interviews with staff, participant observation, and debrief of leadership meetings. We completed a hybrid deductive–inductive thematic analysis of the data, followed by member checking with study participants and other key interest holders. Key facilitators of the CBO–health system partnership included the vital role of leaders in prioritizing the partnership; health system willingness to incorporate new information from the CBO to improve care; and health system utilization of resources to institutionalize changes that emerged from this partnership. Challenges to the CBO–health system partnership included CBO resource limitations; fragmented referral processes and information sharing; and the persistence required to nurture the relationship without formalized roles. This study contributes to the literature by offering staff perspectives on how a CBO–health system partnership formed, successes, early lessons learned, and practical suggestions for how to develop stronger alignment to provide culturally responsive patient-centered care to Black families. Full article

Background/Objectives: Quality of work life (QWL) in the healthcare industry emerges as an important factor for enhancing positive and preventing negative work-related outcomes, including quiet quitting. The aim of the study was to investigate the impact of quality of work life on the indication of quiet quitting among healthcare professionals. Methods: A cross-sectional study design and convenience sampling method were applied. A minimum sample was estimated by applying Cochran’s formula with a 5% significance level and 95% confidence interval. The target population of the study consisted of healthcare professionals employed in public health organizations in central Serbia, with a total sample size of 647 respondents. Testing the relationship between determinants of quality of work life and quiet quitting was conducted through a structural equation modeling approach based on partial least squares (PLS-SEM). Results: The results indicate that psychological, physical, and cultural quality of work life have a significant impact on the manifestation of quiet quitting among healthcare professionals, especially among women. Conclusions: Findings suggest that social well-being is significant only for men in relation to quiet quitting. The findings reveal the elements of quality of work life are associated with the occurrence of quiet quitting among healthcare professionals, thus serving as a solid starting point for formulating effective human resource management strategies that can prevent negative consequences. Full article

This review provides a comprehensive overview of the closed-form expressions developed for estimating the soil water retention curve (SWRC) from 1964 to the present. Since the concept of the SWRC was introduced in 1907, numerous closed-form functions have been proposed to describe the relationship between soil matric suction and volumetric water content, each with distinct strengths and limitations. Given the variability in SWRC shapes influenced by soil texture, structure, and organic matter, models in the form of sigmoidal, multi-exponential, lognormal, hyperbolic, and hybrid functions have been designed to fit experimental SWRC data. Based on the number of adjustable parameters, these models are categorized into three main groups: three-, four-, and five-parameter models. They can also be classified as one-, two-, or three-segment functions depending on their structural complexity. A review of the developed models indicates that most are effective in representing the SWRC between the residual and saturated water content range. To capture the full range of the SWRC, hybrid functions have been proposed by combining traditional models. This review presents and discusses these models in chronological order of publication. Full article

In an era marked by rapid technological advancements, the relationships among organizational digitalization, innovation, and sustainability are receiving growing academic and managerial attention. This paper employs bibliometric analysis to examine the scientific literature on these interconnected terms, based on 775 relevant publications retrieved from the Web of Science database and analyzed using MS Excel, Bibliometrix, and VOSviewer software packages. The findings reveal a rapid increase in research on digital transformation and sustainability since 2017, with key themes including Industry 4.0, artificial intelligence, blockchain, and circular economy. However, the analysis also highlights notable conceptual fragmentation, emphasizing the need for a more integrated theoretical framework, especially in fields such as performance measurement and corporate social responsibility. From a practical standpoint, the study identifies research gaps—including CSR alignment, SME digitalization, and evaluation metrics—where organizations and policymakers continue to face challenges. These findings can support targeted capacity building, policy development, and strategic research funding aligned with sustainability-oriented innovation. By synthesizing key patterns from the literature, this study contributes to a deeper understanding of how digital transformation drives sustainable innovation, while suggesting several directions for further investigation in both academia and practice. Full article

Air pollution is one of the most serious environmental threats, with particulate matter PM₁₀ and PM_2.5 representing its most harmful components, significantly affecting public health. These particles are primarily generated by transport, industry, residential heating, and agriculture, and are associated with increased incidence of respiratory and cardiovascular diseases, asthma attacks, and heart attacks, as well as chronic illnesses and premature mortality. The most vulnerable groups include children, the elderly, and individuals with pre-existing health conditions. This study focuses on the analysis of health risks associated with PM₁₀ and PM_2.5 air pollution in the city of Zvolen, which serves as a representative case due to its urban structure, traffic load, and industrial activity. The aim is to assess the current state of air quality, identify the main sources of pollution, and evaluate the health impacts of particulate matter on the local population. The results will be compared with selected Slovak cities—Banská Bystrica and Ružomberok—to understand regional differences in exposure and its health consequences. The results revealed consistently elevated concentrations of particulate matter (PM) across all analyzed cities, frequently exceeding the guideline values recommended by the World Health Organization (WHO), although remaining below the thresholds set by current national legislation. The lowest average concentrations were recorded in the city of Zvolen (PM₁₀: 20 μg/m³; PM_2.5: 15 μg/m³). These lower values may be attributed to the location of the reference monitoring station operated by the Slovak Hydrometeorological Institute (SHMÚ), situated on J. Alexy Street in the southern part of the city—south of Zvolen’s primary industrial emitter, Kronospan. Due to predominantly southerly wind patterns, PM particles are transported northward, potentially leading to higher pollution loads in the northern areas of the city, which are currently not being monitored. We analyzed trends in PM₁₀ and PM_2.5 concentrations and their relationship with hospitalization data for respiratory diseases. The results indicate a clear correlation between the concentration of suspended particulate matter and the number of hospital admissions due to respiratory illnesses. Our findings thus confirm the significant adverse effects of particulate air pollution on population health and highlight the urgent need for systematic monitoring and effective measures to reduce emissions, particularly in urban areas. Full article

The current study investigates the effect of Public Relations Campaigns in environmental education and attitudes toward environmental sustainability, and behavioral intentions among university students in the United Arab Emirates and Egypt. The questionnaire was applied to a sample of 712 male and female students from Al Ain University in the UAE and Minia University in Egypt. Theoretically supported by the theory of planned behavior (TPB), structured questionnaires were used for data gathering. Data was analyzed using partial least square–structural equation modeling (SEM), which revealed the positive effect of Public Relations Campaigns on providing environmental education and awareness among UAE Emirati and Egyptian students. Results showed a positive effect of Public Relations Campaigns on the students’ attitudes towards environmental sustainability. Finally, the effects of Public Relations Campaigns on the behavioral intention of the UAE Emirati and Egyptian students also remained positive. Overall, the results imply that Public Relations Campaigns significantly improve environmental education, shape positive attitudes toward environmental sustainability, and affect behavioral intentions among UAE and Egypt university students. These results emphasize the significance of PR initiatives in encouraging environmental awareness and promoting pro-environmental behaviors within educational settings. Also, the results highlight the effectiveness of Public Relations Campaigns in creating trust between organizations and the public while encouraging social responsibility. The study makes a dual contribution: theoretically, it expands knowledge on the relationship between public relations strategies and environmental awareness among young academics, a group influential in societal change. Practically speaking, it provides practical recommendations for educational institutions and environmental stakeholders on how to design more effective public relations campaigns to target university students and increase their level of environmental engagement. Full article

This study examines the relationship between organizational commitment and administrative management within a public service institution operating in an emerging governance context. Grounded in the three-component model of organizational commitment (affective, continuance, and normative) and classical administrative theory (planning, organizing, directing, and controlling), the research investigates how internal psychological bonds among frontline personnel influence institutional performance. A quantitative, cross-sectional, non-experimental design was applied, surveying 30 operational police officers using validated Likert-scale instruments. The results reveal a strong and statistically significant positive correlation between organizational commitment and administrative management (Spearman’s ρ = 0.775, p < 0.01), with normative commitment displaying the highest effect size (ρ = 0.812). These findings underscore the critical role of ethical obligation, loyalty, and affective alignment in enhancing managerial coherence and institutional responsiveness. The study contributes to ongoing debates on public sector reform and strategic human capital management by emphasizing the need for emotionally engaged and ethically anchored personnel. It aligns with Sustainable Development Goals (SDGs) 16 (Peace, Justice, and Strong Institutions) and 8 (Decent Work and Economic Growth), promoting inclusive, accountable governance and resilient administrative practices in resource-constrained environments. Full article