Search Results (1,292)

Background/Objectives: Given the critical role of vaccinations and venipunctures in disease prevention and health monitoring, it is concerning that over half of children ages 4 to 8 experience some level of needle fear. Higher levels of fear result in longer procedure times, ineffective pain management, distressing memories of needles, and ultimately, healthcare avoidance. Exposure-based therapy with a therapist is recommended for high levels of fear. However, access is limited due to cost, wait times, clinician shortages, system barriers, and social stigma. Thus, there is a need for an evidence-informed, caregiver-directed educational resource for management of moderate to high needle fear in young children. Methods: To address this gap, such a resource was drafted which included a caregiver guide and an illustrated children’s book. The current objective was to gather key user feedback on this initial version of the resource. Participants reported their perceptions of the content, coping strategies, design, organization, and accessibility of the resource through semi-structured interviews and limited quantitative ratings. Participants were children with moderate to high levels of needle fear (N = 6), their caregivers (N = 6), and healthcare professionals (N = 6; including needle providers, child life specialists, and mental health clinicians). Interviews were coded with inductive content analysis; descriptive statistics were calculated for quantitative ratings. Results: Participants reported satisfaction with the e-resource and highlighted strengths (e.g., CARD^TM system, children’s book) and improvement areas (e.g., length, language). Conclusion: Feedback informed revisions to the e-resource in preparation for further evaluation in a follow-up study. Full article

The proliferation of Internet of Things (IoT) devices has significantly expanded the threat landscape for malicious software (malware), rendering traditional signature-based detection methods increasingly ineffective in coping with the volume and evolving nature of modern threats. In response, researchers are utilising artificial intelligence (AI) for a more dynamic and robust malware detection solution. An innovative approach utilising AI is focusing on image classification techniques to detect malware on resource-constrained Single-Board Computers (SBCs) such as the Raspberry Pi. In this method the conversion of malware binaries into 2D images is examined, which can be analysed by deep learning models such as convolutional neural networks (CNNs) to classify them as benign or malicious. The results show that the image-based approach demonstrates high efficacy, with many studies reporting detection accuracy rates exceeding 98%. That said, there is a significant challenge in deploying these demanding models on devices with limited processing power and memory, in particular those involving of both calculation and time complexity. Overcoming this issue requires critical model optimisation strategies. Successful approaches include the use of a lightweight CNN architecture and federated learning, which may be used to preserve privacy while training models with decentralised data are processed. This hybrid workflow in which models are trained on powerful servers before the learnt algorithms are deployed on SBCs is an emerging field attacting significant interest in the field of cybersecurity. This paper synthesises the current state of the art, performance compromises, and optimisation techniques contributing to the understanding of how AI and image representation can enable effective low-cost malware detection on resource-constrained systems. Full article

This qualitative single-case study examines how spirituality promotes mental health within a stigmatized occupation by analyzing an in-depth interview with “Perla,” a 62-year-old Mexican woman with decades of experience in sex work. Guided by Virginia Satir’s Transformational Systemic Therapy (STST), specifically the Self-Mandala and Iceberg Metaphor, we conceptualize spirituality as a universal human dimension of meaning, moral orientation, and relational connection that may be expressed within or beyond formal religion. Narrative thematic analysis identifies processes through which Perla cultivates congruence (alignment of inner experience and outward conduct), safeguards dignity, and sustains hope amid systemic constraints. Her Catholic practices (prayer, ritual boundaries regarding Eucharist) coexist with a broader spiritual agency that supports self-worth, emotional regulation, boundary-setting, and coherent identity, factors associated with mental well-being. Interdisciplinary implications bridge marriage and family therapy, psychology, pastoral care, and cultural studies. Clinically, we translate Satir’s constructs (yearnings, perceptions, expectations, coping stances) into practical assessment and intervention steps that can be applied in secular settings without religious presuppositions. Analytic rigor was supported through reflective memoing, a structured three-level coding process, constant comparison, and verification by a second coder. The case challenges pathologizing frames of sex workers by demonstrating how spirituality can function as a protective, growth-oriented resource that fosters agency and moral coherence. Full article

Background: Frailty is a geriatric syndrome of increased physiological vulnerability, decreasing an older adult’s ability to successfully cope with health stressors. Social determinants of health (SDOH), including rural residence, can amplify healthcare disparities for older adults due to less accessibility to resources and lead to worse health outcomes. While the impact of rurality on older adult health is well-established, little is known about how the interaction of SDOH and geographical residence impact frailty status in older adults. Methods: Older adults (65+ years) in the National Health and Aging Trend Study (2011–2021) were categorized using Fried’s frailty phenotype (robust, pre-frail, frail). Rurality was defined using the 2013 Rural–Urban Continuum Codes. Generalized estimation equations with generalized logit link function determined the relationship between SDOHs (healthcare access, community support, income, education) and frailty status. Results: Of n = 6082 participants (56.4% female), the mean age was 75.12 years (SE 0.10), 1133 (18.6%) lived in rural residence, and 2652 (53.0%) had pre-frailty. Although there was no relationship between geographical residence and frailty status (p = 0.73), we did observe lower associated odds of worse frailty status for those with Medigap insurance coverage (0.81, SE 0.08; p = 0.04) and inconsistent frailty status trends for those of divorced (1.12, SE 0.05; p = 0.007) and never married (0.20, SE 0.03; p < 0.001) status in urban areas. Conclusions: Our findings suggest that geographic residence may modify the relationship between SDOH and frailty status in older adults, providing novel insight into the complexity of these interactions. This work is important for identifying modifiable areas where additional support interventions may be important for mitigating frailty development and progression for older adults with efforts at both the individual and system levels. Full article

In the context of mineral resource exploration, spatial prediction must cope with heterogeneous, non-normal data distributions and limited sampling. While conventional geostatistics and standard machine learning provide baseline estimates, they often suffer from excessive smoothing or fail to capture continuous spatial dependencies. This study proposes a geospatially aware Wasserstein conditional Generative Adversarial Network (GSA-cGAN) to complement existing workflows for multivariate mineral interpolation. The framework augments a baseline cGAN with WGAN-GP for stable adversarial training, CoordConv to encode absolute spatial coordinates and Self-Attention to capture long-range spatial dependencies. Eight model configurations were trained on 272 samples from a mineralized zone in the Taebaek Mountains, Korea, and strictly benchmarked against Ordinary/Universal Kriging and multivariate machine learning baselines (Random Forest, XGBoost). Under the adopted experimental design, the full GSA-cGAN achieved the lowest test root mean squared error and highest coefficient of determination, demonstrating a significant performance improvement over the baselines. Furthermore, distribution analysis confirmed that the model effectively overcomes the smoothing limitations of regression-based methods, generating high-resolution 10 m × 10 m maps that preserve statistical variance, hotspot anomalies, and complex spatial patterns. The results indicate that deep generative models can serve as practical decision-support tools for identifying drilling targets and prioritizing follow-up exploration in geologically complex settings. Full article

Background/Objectives: Family members are the principal providers of home-based care for migrant older adults. Linguistic, cultural, and structural barriers within health systems exacerbate the caregiver burden across emotional, physical and financial domains. Although home healthcare services may alleviate this burden, variability in access, cultural safety, and care coordination can also intensify it. This scoping review maps the evidence on the burden experienced by family caregivers who deliver home-based healthcare to migrant older adults and examines how these arrangements affect caregivers’ health and well-being. It synthesizes the literature on facilitators and barriers—including access, cultural-linguistic fit, coordination with formal services, and legal/immigration constraints—and distills implications for policy and practice to strengthen equitable, culturally responsive home care. Method: The Joanna Briggs Institute (JBI) scoping review framework was used to conduct the review. A comprehensive search was performed across six databases (CINAHL, Scopus, Web of Science, PsycINFO, MEDLINE and Sociological Abstracts) for articles published between 2000 and 2025. Studies were selected based on predefined inclusion criteria focusing on the family caregiver burden in providing home healthcare for migrant older adults. Data extraction and thematic analysis were conducted to identify key themes. Results: The review identified 20 studies across various geographical regions, highlighting four key themes: (1) Multidimensional Caregiver Burden, (2) The Influence of Gender, Family Hierarchy, and Migratory Trajectories on Caregiving, (3) Limited Access to Formal and Culturally Appropriate Support, and (4) Health Outcomes, Coping, and the Need for Community-Based Solutions. Conclusions: System-level reforms are required to advance equity in home healthcare for aging migrants. Priorities include establishing accountable cultural-safety training for providers; expanding multilingual access across intake, assessment, and follow-up; and formally recognizing and resourcing family caregivers (e.g., navigation support, respite, training, and financial relief). Investment in community-driven programs, frameworks and targeted outreach—co-designed with migrant communities—can mitigate isolation and improve uptake. While home healthcare is pivotal, structural inequities and cultural barriers continue to constrain equitable access. Addressing these gaps demands coordinated policy action, enhanced provider preparation, and culturally responsive care models. Future research should evaluate innovative frameworks that integrate community partnerships and culturally responsive practices to reduce the caregiver burden and improve outcomes for migrant families. Full article

This study examines the determinants of talent retention in the hotel sector of Extremadura, a peripheral European region facing depopulation, labour scarcity and structural limitations that threaten the sustainability of its human capital base. Grounded in the Job Demands–Resources (JD-R) theory, the research analyses how a set of key labour resources, specifically professional training, organisational trust, job satisfaction and sustainability commitment, influence employees’ intention to remain in their organisations. These resources are conceptualised as organisational and motivational mechanisms that enhance employees’ capacity to cope with job demands and reinforce their attachment to the organisation. A quantitative survey was conducted with hotel-sector employees in Extremadura; 255 questionnaires were validated, and the proposed structural model was tested using SEM. The findings show that organisational trust is the strongest predictor of retention, followed by professional training and sustainability commitment, while job satisfaction also exerts a significant, though more moderate, effect. These results indicate that enhancing fairness perceptions, strengthening continuous training pathways and integrating sustainability-oriented values are essential strategies for retaining qualified personnel in territories with limited external opportunities. Rather than measuring human capital sustainability directly, the study shows that talent retention operates as a central empirical mechanism through which the sustainability of human capital can be supported in peripheral tourism economies. It concludes by highlighting the need for managerial practices that support transparent leadership, structured professional development and participatory sustainability initiatives, and encourages future research to incorporate longitudinal designs and direct measures of human capital sustainability. Full article

Grounded in stress-reactivity accounts and the Prosocial Classroom model, this study examines how preschool teachers’ responses to children’s negative emotions are associated with teacher job stress and age in Greek early childhood education settings. These frameworks suggest that elevated job stress may erode teachers’ regulatory resources and responsiveness, increasing non-supportive reactions and reducing supportive emotion coaching during emotionally charged classroom interactions. A sample of 101 full-time preschool educators (M age = 42.3 years; 97% female) completed two instruments: the Coping with Children’s Negative Emotions Scale (CCNES) and the Child Care Workers’ Job Stress Inventory (CCW-JSI). Age-controlled partial correlations indicated that higher job stress was associated with more frequent use of non-supportive reactions, including punitive and minimizing responses, and less frequent use of supportive strategies, such as emotion-focused, problem-focused, and expressive encouragement responses. Older teachers tended to report higher supportive response scores, particularly for problem-focused reactions and expressive encouragement. These findings highlight the importance of teacher well-being for the emotional climate of preschool classrooms and suggest that job stress may undermine educators’ capacity to consistently engage in supportive emotion socialization. The study contributes to the education literature by linking teacher stress and emotion socialization practices in a policy context where early childhood education is expanding but remains under-resourced. Implications for teacher education, professional development, and system-level initiatives to support educators’ social-emotional competence are discussed. Full article

This study investigates workplace stress-management practices and their relationships with employees’ well-being and productivity in accordance with Tayma University College’s goals in Saudi Vision 2030. Although stress-relief programs have been studied in detail in Western cultural environments, efficacy in the context of Saudi higher education institutions has proven to be limited, particularly as employee reactions are shaped by cultural, organizational, and institutional factors. This paper aims to explore the relationships between various other indicators, namely, mindfulness, time management, scheduling autonomy, and coworker support, and stress, job performance, and work–life balance. A convergent mixed-methods design was utilized, based on survey responses from 104 academic and administrative employees and semi-structured interviews with 20 respondents. The presentation of data demonstrated that time management was most consistently and significantly effective using SEM. In conclusion, time management was positively and significantly associated with increased schedule control, coworker support, and job performance, resulting in a more balanced work–life experience. Mindfulness had no significant or meaningful influence on perceived stress levels, while the influence of coworker support was more variable, and job performance experienced greater variation. Qualitative results confirmed this trend, as evidenced by the fact that time-management-oriented activities were incorporated into the daily routine, while mindfulness-related exercises were not well integrated with the cultural norms and work requirements. Within the university context of Saudi Arabia and with reference to the Job Demands–Resources (JDs–Rs) framework and the Transactional Model of Stress and Coping, the study also reveals that situational influences constitute a significant contribution to the development and use of stress-relief resources. Ultimately, the findings highlight the value of culturally relevant stress-management practices to facilitate the well-being, performance, and stability of employees with the backdrop of Saudi Vision 2030. Full article

The existing crew base assignment system in high-speed railway operations struggles to cope with the frequent deployment of additional and coupled trains under the “One-Day-One-Operation Plan” dynamic scheduling paradigm. This often results in unequal overtime distribution among crews, low scheduling efficiency, and limited operational adaptability. To address the above-mentioned application challenges, this study proposes a shift from the fixed crew-based system towards a fully flexible pool-based system. Specifically, we develop a novel integer programming model designed to optimize monthly crew schedules with the primary objective of balancing total working hours across all crew teams. In this model, crew teams are treated as unified entities but are no longer permanently tied to specific train services. Instead, they are dynamically allocated to all available train tasks within the network. Numerical results, based on a real-world case study from Shanghai, China, demonstrate that the proposed model effectively automates the scheduling process. It significantly enhances fairness in working hour distribution while fully complying with all operational rules. Furthermore, by enabling crews to undertake a diverse range of services, the model substantially improves the flexibility of human resource allocation and the overall robustness of the crew management system. This research provides an efficient and scientific decision-support tool for tackling crew scheduling difficulties in dynamic railway operations. Full article

This study conceptualizes transformational leadership not as an evaluation by others but as the leader’s self-recognition—self-perceived transformational leadership (STFL)—and examines the roles of two psychological resources, Vigor and challenge-oriented coping (Overcoming), together with subjective well-being (SWB). Using validated scales, we surveyed approximately 600 employees from large Japanese corporations. After confirming the validity of a four-factor measurement model via confirmatory factor analysis (CFA), we tested structural relationships using structural equation modeling (SEM) with maximum likelihood estimation; indirect effects were assessed with Monte Carlo confidence intervals. The results showed that the strongest direct effect on STFL was from Overcoming, with a moderate and significant direct effect from Vigor. In contrast, the direct effect of SWB on STFL was small and marginal; however, the indirect effects of Vigor and Overcoming on STFL via SWB were small but significant, indicating a pattern of partial mediation. Overall, the primary pathway to STFL is the direct effect of psychological resources, while SWB contributes secondarily as an affective route. These findings refine the dynamics proposed by the broaden-and-build framework: positive affect broadens behavioral repertoires and fosters resource formation, and those resources, in turn, are reflected in self-recognition as a transformational leader—yet with a dominance of the direct resource pathway. Given the cross-sectional, self-report design and the focus on employees of large Japanese firms, additional longitudinal and intervention studies are needed to enhance the generalizability of the conclusions. Full article

Background/Objectives: Caring for dementia patients involves a significant emotional burden for family caregivers, who confront anticipatory grief (AG) processes that can negatively affect their health-related quality of life (HRQoL). This study examines the mediating role of resilience in the relationship between AG and HRQoL. Methods: A cross-sectional study was conducted with 144 family caregivers of people with dementia in the province of Alicante (Spain). Validated instruments were applied to measure AG (Caregiver Grief Scale), HRQoL (SF-12), and resilience (Brief Resilient Coping Scale). Descriptive analyses, Pearson correlations, and hierarchical regressions were used, as well as a mediation model based on Hayes’ PROCESS macro. Results: AG was negatively associated with resilience (r = −0.19, p = 0.025) and with both mental (r = −0.24, p = 0.004) and physical (r = −0.22, p = 0.009) components of HRQoL, whereas resilience was positively associated with mental HRQoL (r = 0.35, p < 0.001). In regression analyses, AG (B = −3.36, p = 0.006) and resilience (B = 1.16, p < 0.001) were significant predictors of mental HRQoL, explaining 30.4% of the variance (R² = 0.30). Mediation analyses showed a significant indirect effect of AG on mental HRQoL through resilience (B = −1.28, 95% bootstrapped CI [−2.31, −0.84]), indicating partial mediation. Conclusions: Although AG negatively impacts HRQoL, resilience emerges as a relevant protective resource, especially for caregiver mental health. Therefore, it is crucial to promote resilient coping strategies in interventions that target this vulnerable population. Full article

This study investigates the role of Agreeableness as a personality trait in promoting psychological well-being, with a specific focus on the potential mediating mechanism of social support, and how this pathway is influenced by family’s income. 3206 college students from China’s universities were recruited from Internet, randomly. Subjects were demanded to complete the Agreeableness Subscale of Chinese Big Five Inventory Brief version (CBF-PI-B), the Chinese Campbell Index of Well-Being (Campbell IWB), the Chinese Perceived Social Support Scale (PSSS) and demographic variables. The results, analyzed using a moderated mediation procedure, confirmed that perceived social support mediates the relationship between Agreeableness and subjective well-being. Furthermore, family yearly income was found to significantly moderate the first stage of this mediation pathway. Specifically, the positive associative effect of Agreeableness on perceived social support was stronger for individuals with lower annual family income. This result suggests that, for those with fewer economic resources, a prosocial and agreeable disposition is a particularly critical asset for building the social support networks that subsequently enhance well-being. The findings highlight the complex interplay between personality and socioeconomic context, indicating that social support serves as a healthy coping mechanism, the utility of which is conditionally shaped by an individual’s financial circumstances. Full article

Background/Objectives: Sepsis survivors frequently experience long-term complications known as Post-Sepsis Syndrome. Many survivors and their relatives express ongoing dissatisfaction with the quality and accessibility of health information. Yet the specific informational needs and preferred formats remain insufficiently defined. To identify the informational needs of sepsis survivors and their relatives across different stages of illness and recovery. Methods: This qualitative study, conducted within the AVENIR project, included semi-structured telephone interviews with 12 survivors and 6 relatives in Germany. Interviews were transcribed verbatim and analyzed using qualitative content analysis according to Mayring. Results: Eighteen interviews highlighted phase-specific gaps in information. Relatives reported urgent needs for timely, comprehensible and empathetic communication during the ICU phase, often while under decision pressure. Survivors described limited capacity to process information during the acute phase and sought orientation only after cognitive and emotional stabilization. After discharge, both groups reported an “information vacuum”, marked by insufficient guidance on long-term physical and psychological consequences, rehabilitation, vaccination, and follow-up care. Many participants received no informational material, or only general or inconsistent information. Desired content emphasized basic sepsis knowledge, explanations of persistent symptoms, practical coping strategies, and navigation of support services. Preferred formats included peer support and repeated, personal conversations with healthcare professionals, complemented by trusted online and printed resources. Conclusions: Sepsis survivors and relatives experience notable, role- and phase-specific information deficits that extend from the ICU into long-term recovery. Timely, reliable, and accessible information may help reduce uncertainty, support coping, and strengthen autonomy for both survivors and relatives. Full article

Salt stress represents a significant abiotic factor that constrains maize growth. Epigenetic modifications play a crucial role in enabling plants to respond effectively to such stresses. Among these alterations, m⁶A methylation, which is the most common post-transcriptional modification of eukaryotic mRNA, shows dynamic variations that are closely linked to stress responses. In this study, we conducted a transcriptome-wide m⁶A methylation analysis on maize roots from the inbred line PH4CV, following treatment with 180 mM NaCl. The results identified 1309 differentially m⁶A methylated peaks (DMPs) and 2761 differentially expressed genes (DEGs) under salt stress conditions. Association analysis revealed that 179 DEGs contain DMPs. Key pathways involved in stress responses, including Ca²⁺ signaling transduction and ABA signaling, as well as ion homeostasis regulation (involving AKT, HKT, and other families) and the reactive oxygen species scavenging system (including POD, SOD, and CAT), play crucial roles in coping with salt stress. Furthermore, we identified a total of 26 m⁶A-related genes, comprising 7 eraser genes, 10 reader genes, and 9 writer genes. Notably, several key salt-responsive genes, such as RBOHB, AKT1, HKT1, and POD12, are correlated with m⁶A modification. This study provides a comprehensive map of m⁶A methylation dynamics in maize roots under salt stress, laying a foundational resource for future investigations into the epigenetic regulation of salt tolerance in maize. Full article