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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

Background: Despite being considered a country with a larger health workforce in Africa, the South African health workforce continues to experience shortages and a maldistribution of health workers across regions and sectors. Current projections suggest that the workforce is expected to decline further, especially among doctors, nurses and midwives, in large part, due to attrition—which could compromise the delivery of primary health and maternity services. These health workforce shortages and uneven distribution threaten the sustainability and effectiveness of health services in South Africa and drives the need to investigate the factors that may be influencing career choice and change decisions among health professionals in South Africa. Methods: A qualitative exploratory study, making use of purposive sampling and semi-structured interviews, was conducted to investigate the factors influencing career choice and change decisions among health professionals in South Africa. The participants were qualified health professionals in the fields of medicine, nutrition, pharmacy, nursing, and psychology working in the private, public, and academic sectors. Data was collected until saturation was achieved and then thematically analyzed using MAXQDA 24. Results: A total of 10 participants made up of three males and seven females were interviewed. These participants worked in different employment sectors with some having dual roles in private practice, public sector, and academia. The analysis revealed three major themes that capture the nature of and factors influencing career choice and career changes occurring in South Africa. The first theme related to factors influencing career choice (including altruism, family influence, personal experiences, financial/job security, academic achievement, career guidance, and opportunity for change). The second theme focused on career change dynamics (nature of career changes and career transitions occurring in the form of specialization, switching health professions, exiting health professions, adding non-health interests, and shifting focus areas). The third theme revealed factors influencing career change. These were categorized into personal and individual factors, workplace or job-specific factors, and administrative factors. This study has contributed to understanding the career choices and career changes taking place within the health professions in South Africa. It has also revealed a need for reforms in policy and practice for the current health professionals who have no intention of changing their careers while highlighting implications for future training of health professionals. Also, addressing the challenges of poor working conditions, lack of support, unemployment and placement delays, and other administrative barriers will help mitigate some of the issues leading to health workforce shortages and inequities in the South African context. Conclusions: The strongest motivator for choosing a career in health professions is the desire to care for others, while retention of the health workforce is challenged by personal, workplace, and administrative factors. Enhancing workplace conditions and support systems, implementing policy reforms, and minimizing administrative barriers is essential for achieving universal health coverage and sustaining a resilient health workforce in South Africa. Full article

Public health emergencies require spatial crowdsourcing platforms to finish urgent tasks while limiting unnecessary movement across regions. Most online task assignment studies focus on profit, travel distance, latency, task coverage, or service quality. However, isolation sensitive scenarios need a different assignment goal. In such scenarios, regional crossings should be directly controlled during worker–task matching. This paper studies an isolation sensitive online task assignment problem in spatial crowdsourcing. The service space is modeled as a regional adjacency graph. The matching objective combines cross-region movement cost, an urgency reward for delayed task completion, and a dummy no-assignment cost for carry-over decisions. To handle dynamic arrivals, a time-sliced online process is used. Unfinished tasks are carried over to later time slots, and the priority of each carried-over task increases with waiting time. Based on this framework, we design two algorithms. OnlineKM serves as the basic priority-aware online matching algorithm. OnlineKM builds a matching problem in each time slot and applies KM-based partial matching with the information currently available. OnlineARC further uses δ-balanced adaptive regional coarsening. OnlineARC merges adjacent regions according to recent supply–demand balance before matching. This step adjusts the regional granularity used for movement cost evaluation and helps keep assignments close to local regions when regional merging is suitable. Experiments are conducted using a real-world task locations dataset from a 2022 COVID-19-related scenario in Changchun, with simulated worker availability and online arrivals. The results show that the proposed methods usually reduce the combined assignment objective value under the tested settings. The service quality and movement control metrics show that OnlineARC reduces the cross-region assignment ratio and average hop distance while maintaining a high task completion rate under the representative setting. OnlineKM improves running efficiency through time-sliced matching, while OnlineARC provides a trade-off between adaptive coarsening cost and locality-aware movement cost evaluation. These results suggest that adaptive regional coarsening can serve as a practical heuristic for locality-aware online task assignment in isolation sensitive spatial crowdsourcing under suitable worker–task distributions. Full article

This paper addresses a human resource allocation problem with spatial-temporal constraints (HRAP-SC) in the parallel assembly of complex products, such as satellites and aircraft. It involves coordinating a limited pool of multi-skilled workers across geographically distributed workstations, subject to rigorous constraints including team collaboration requirements, operation priorities, technological tail times (e.g., curing), and strict 8 h workdays. Existing exact approaches typically fail to converge due to the combinatorial explosion arising from the strong coupling of shared resources across workstations, while meta-heuristic methods often suffer from performance instability caused by hyper-parameter sensitivity. To overcome these limitations, we propose a pattern-based decomposition algorithm (PDA), a novel parameter-free exact solution framework. By exploiting the inherent symmetry of identical jobs and parallel workstations, PDA defines a set of canonical patterns to drastically reduce the search space. It employs an efficient traversal mechanism reinforced by rigorous mathematical bounds and pruning rules to eliminate unpromising solutions. Computational experiments demonstrate that PDA significantly outperforms state-of-the-art Mixed-Integer Programming (MIP) and Constraint Programming (CP) solvers. Unlike standard solvers, which frequently time out (3600 s), PDA strictly evaluates only a single pattern when proving optimality, and robustly scales to large industrial instances (e.g., six jobs comprising 78 operations) to provide high-quality schedules. By successfully solving complex scheduling problems that remain intractable for monolithic solvers, PDA provides a robust and automated decision-support tool for production management in complex manufacturing systems. Full article

Obtaining high-quality labeled data for supervised learning is costly, motivating the use of crowdsourcing, which distributes the annotation process across multiple workers with varying levels of expertise. A key challenge in crowdsourced data is annotation sparsity, as each worker labels only a limited subset of instances. This sparsity can amplify class imbalance, reduce supervision for minority classes, and bias standard cross-entropy-based models toward the majority classes. To address this problem, we propose a correlated chained Gaussian process framework trained on a focal-loss-based variational objective (CCGPFL). This probabilistic framework jointly models latent ground-truth and instance-dependent annotator reliability while accounting for correlations among annotators. In addition, the focal-weighted objective mitigates the imbalance induced by sparse annotations by assigning greater importance to harder examples during training. Experiments on synthetic, semi-synthetic, and fully real multi-annotator datasets show that CCGPFL achieves competitive and often superior performance relative to state-of-the-art learning-from-crowds baselines in terms of Overall Accuracy (OA) and Area Under the ROC Curve (AUC). Full article

Modern fulfillment centers share floor space with human workers, making warehouse multi-robot task allocation a safety-critical problem. We propose SHARP (Safe Heterogeneous Allocation with Risk Prediction), a Transformer-based constrained reinforcement-learning framework with a closed-form deployment-time safety mask. Under a Gaussian pedestrian belief and fixed closest-approach directions, the mask uses Bonferroni-allocated per-pair CVaR scores; a nonnegative mask score implies a conservative trajectory-level chance constraint under the stated assumptions. We also present an idealized primal–dual surrogate analysis, without claiming global convergence for the nonconvex Transformer/PPO implementation. Expanded experiments use ten training seeds per learned method and deterministic final-checkpoint evaluation on twenty independently generated held-out instances. No statistically significant difference between SHARP and Lagrangian-PPO was detected in any of the four scenarios. The held-out analysis further reveals late-training instability and severe over-conservatism in the dense S40_high scenario. These findings position SHARP as an auditable geometric filtering mechanism, while identifying conservatism and training stability as important limitations for deployment. Full article

Social disconnection, encompassing both loneliness and social isolation, is increasingly recognised as an important public health concern. While employment provides opportunities for social participation and role engagement, less is known about how different forms of labour market detachment relate to subjective and objective dimensions of social connection in later working life. This study examined the association between labour force attachment and both loneliness and social isolation among Australians aged 50–64 years using cross-sectional data from Wave 22 (2022) of the Household, Income and Labour Dynamics in Australia (HILDA) Survey (n = 3362). Participants were classified into labour force attachment groups including in work, underemployed hidden workers, unemployed hidden workers, discouraged workers, those not wanting work, and other. Survey-weighted logistic regression models were used to estimate adjusted predicted probabilities of loneliness and social isolation across labour force groups. After adjustment for sociodemographic and health characteristics, predicted probabilities of loneliness were elevated across hidden worker subtypes relative to those in paid employment, with point estimates 10–13 percentage points higher across categories. Differences in social isolation between hidden worker subtypes and those in paid work were small in magnitude. The highest adjusted predicted probability of social isolation was observed among individuals who reported not wanting work. These findings suggest that, in later working life, labour market marginalisation is associated more strongly with subjective experiences of social disconnection than with the structural availability of social contact. Interventions to reduce loneliness among older working-age adults may benefit from recognising the institutional functions of paid work alongside approaches targeting social contact. Full article

Professionals working in family and social services are frequently exposed to emotionally demanding interpersonal experiences, which may influence both their occupational well-being and their perceptions of close relationships. This study was conducted to examine the mediating role of compassion fatigue in the relationship between emotional intelligence and marital anxiety among unmarried mental health professionals in Türkiye. The sample consisted of 311 unmarried mental health workers, including psychologists, social workers, and psychological counselors employed in provincial directorates of the Ministry of Family and Social Services. Data were collected using the Trait Emotional Intelligence Questionnaire—Short Form (TEQue-SF), the Compassion Fatigue—Short Scale, and the Marital Anxiety Scale. Mediation analysis was conducted using PROCESS Macro Model 4. The findings revealed that emotional intelligence negatively predicted compassion fatigue. Emotional intelligence also negatively predicted marital anxiety, while compassion fatigue did not directly predict marital anxiety. Mediation analysis revealed that compassion fatigue played a significant moderate mediating role in the relationship between emotional intelligence and marital anxiety. These findings suggest that occupational emotional experiences may be indirectly associated with relationship-related concerns among unmarried mental health professionals. The results highlight the importance of considering both emotional intelligence and compassion fatigue in understanding marital anxiety and supporting the development of training, supervision, and psychoeducational interventions aimed at strengthening emotional regulation and professional well-being. Future research including both unmarried and married professionals, as well as longitudinal and mixed-method designs incorporating qualitative interviews, may further clarify these relationships and the mechanisms underlying them. Full article

Seasonal workers in the tourism sector are exposed to significant psychosocial risks, such as work overload, emotional exhaustion, and precarious employment conditions. Despite growing interest in positive organizational psychology, little is known about how organizational culture impacts perceptions and experiences of seasonal workers in Italy. This study explores the role of positive organizational culture in promoting well-being among seasonal workers in the tourism sector, examining their direct perspectives on organizational climate, work challenges, and individual and organizational resources. Eight semi-structured interviews were conducted with seasonal workers employed in the hospitality industry in Italy. Data were analyzed through an integrated mixed-method approach combining Grounded Theory methodology with quantitative lexical analysis using T-LAB software, ensuring both analytical rigor and interpretive depth. Five macro-categories emerged inductively from the data: trust and relations, coping strategies and emotions, perceived justice, teamwork, and meaning of work. These were integrated into a core category defined as flourishing at work, interpreted through the lens of Seligman’s PERMA model. These findings suggest that well-being in seasonal work is an active and relational achievement, sustained by emotional self-regulation, perceived fairness, and collective identity. The results carry direct implications for organizational policies and psychosocial risk prevention strategies in precarious work contexts. In particular, positive organizational culture and environments can act as protective factors against psychosocial risks, with direct implications for organizational policies, psychosocial risk prevention, and evidence-based workplace interventions. The specificity of the analysis method offers an original contribution by integrating qualitative and quantitative textual analysis to investigate psychosocial well-being in an under-explored population: Italian seasonal workers. Full article

Industrial systems such as lean practices, quality systems, workplace safety, and organisational culture are often managed as separate systems; however, in practice, they are interdependent. This study presents a preliminary survey instrument (CiE II) to assess organisational conditions commonly associated with effectiveness in manufacturing systems. A multi-stage refinement process was applied to an initial 107-item survey using pilot data (n = 127) collected from engineering students with work-integrated industry experience. The methodology combined exploratory factor analysis, item response theory, and thematic analysis to improve both statistical and conceptual coherence. The resulting instrument comprised 28 items, making it more suitable for industrial deployment. Analysis of responses (N = 127) identified three common facets that support lean, quality, safety, and culture. These are (i) Integrated Quality and Workflow Management (α = 0.960), referring to workers perceptions that quality standards exist and that they are resourced to meet them; (ii) Safe and Collaborative Work Culture (α = 0.901), referring to perceptions of behavioural norms and that workers will be treated fairly within the team; (iii) Supportive Leadership and Professional Growth (α = 0.852), referring to perceptions that management supports workers’ ongoing professional development. The potential benefit is the provision of a candidate survey that economically covers four key domains of relevance for manufacturing organisations. This has the potential to allow cross-domain correlations and larger-span regression models that integrate the four domains. Full article

Background/Objectives: This study aimed to evaluate burnout, psychological distress, and intention to quit among healthcare workers one year after the 6 February 2023 earthquakes, and to examine the relative contributions of disaster-related exposures and organizational factors using a hierarchical analytical approach. Methods: This cross-sectional study included 640 healthcare workers from a tertiary referral hospital in one of the provinces most severely affected by the earthquakes. Data were collected using validated instruments, including the Maslach Burnout Inventory, Hospital Anxiety and Depression Scale, Impact of Event Scale–Revised, and Intention to Quit Scale. Hierarchical multiple linear regression analyses were performed to evaluate factors associated with burnout dimensions, psychiatric symptoms, and intention to quit. Results: Clinically significant anxiety symptoms were observed in 32.5% of participants, depressive symptoms in 55.8%, and PTSD risk in 54.1%. Low personal accomplishment was the most prevalent burnout dimension (69.1%), while high emotional exhaustion and depersonalization were observed in 43.0% and 18.9% of participants, respectively. Workplace climate variables accounted for the largest increment in explained variance across all seven models. Low job satisfaction was the strongest and most consistent factor associated with adverse outcomes, with standardized coefficients ranging from β = +0.27 to +0.61. Non-close colleague relations were independently associated with higher burnout, anxiety, depression, and intention to quit scores, as well as lower personal accomplishment. Despite the high prevalence of psychological symptoms, post-earthquake psychiatric help-seeking was reported by only 6.2% of participants. Conclusions: One year after the earthquakes, healthcare workers continued to experience a substantial psychological burden. Although disaster-related exposures were associated with several adverse outcomes, organizational factors appeared to demonstrate more consistent associations with mental health indicators. These findings highlight the potential importance of improving modifiable workplace conditions to support psychological well-being and workforce sustainability in post-disaster healthcare systems. Full article

Academic research laboratories often exhibit gaps between formal safety policies and everyday practices, driven by variability in training, leadership engagement, and safety practices. Effective safety therefore depends not only on formal compliance programs but also on operational factors such as training quality, SOP use, audit practices, and reporting culture. This study examines how operational factors within a large research-intensive university, including laboratory role, access to and adequacy of safety training, use of standard operating procedures (SOPs), experience with audits, near-miss reporting practices, and laboratory workers’ perceptions of risk and safety culture, are related to one another. A cross-sectional anonymous survey was administered to 1340 individuals, of whom 245 self-identified as currently working in research laboratories. Categorical data were analyzed using likelihood ratio chi-square tests with false discovery rate adjustments. Respondents reported high overall use of SOP use (85%), but staff indicated significantly lower SOP use than graduate students (69% vs. 91%, p = 0.004), and staff were more likely than faculty to view audits as helpful (97% vs. 85%, p = 0.050). Only 68% of laboratories reported documenting near misses, and 25% of respondents reported difficulty locating required training, despite 88% of training users rating it as sufficient once accessed. Although 52% of respondents classified their laboratory as moderate or high risk, 96% nonetheless described their laboratory as safe, suggesting normalization of risk based on self-reported perceptions. No significant associations were observed between perceived laboratory safety and years of experience, hours worked in the laboratory, or extent of training completed. Overall, the findings highlight the importance of not only accessible training and consistent procedures but also institutional conditions that support reporting, learning, and shared responsibility for hazard mitigation in academic research laboratories. Full article

This study examines how employee experience (EX) in professional kitchens is constituted through the interplay of embodied strain, temporal constraints, care responsibilities, and the meanings attached to work. Drawing on an embedded single-case study conducted in the main kitchen of a five-star city hotel in Istanbul, the study is based on in-depth interviews with workers across hierarchical levels. The findings show that physical strain, long and irregular working hours, and non-work care burdens are not experienced as separate challenges, but as mutually reinforcing pressures that extend into everyday life. Based on these findings, the study reconceptualizes EX as a life-embedded psychosocial process constituted across bodily, temporal, and extra-organizational domains. Within this framework, the study introduces two conceptual mechanisms: embodied time poverty, which captures how time pressure becomes intertwined with bodily exhaustion and limited recovery, and the hidden social burden of culinary labour, which explains how care responsibilities and everyday life demands become constitutive of EX. The findings further show that the discourse of passion operates as a meaning-making and normalizing mechanism that legitimizes demanding working conditions while obscuring their cumulative psychosocial costs. Overall, the study contributes to the EX literature by offering a more integrated understanding of work, well-being, and everyday life in labour-intensive settings. Full article

This article examines experiences of loneliness among older adults from a life course perspective, fostering a dialogue grounded in Social Work. The aim is to understand how loneliness is constructed, expressed and reinterpreted as a subjective, relational and dynamic experience embedded in diverse life trajectories and shaped by structural factors. A qualitative, descriptive and interpretative approach was adopted, involving 30 individual interviews and 4 focus groups with 74 participants (older adults, social workers and other social-sector professionals) in Barcelona (Spain). The analysis was structured around the three core concepts of life course theory and its five key principles. The findings show that loneliness, understood as distinct from social isolation, is linked to biographical processes marked by expected and unexpected life changes. Its intensity and meaning vary according to timing, historical context, social position and life decisions. Employment, family, institutional, migratory, and sexual orientation and gender identity trajectories significantly shape experiences of loneliness. The study highlights the role of agency and underscores the importance of an intersectional approach to understanding accumulated inequalities. From a Social Work perspective, the article advocates a biographical, situated and relational approach to loneliness, promoting interventions that recognise individual trajectories and support meaningful social relationships. Full article

Large language model (LLM)-driven computer use agents (CUAs) automate graphical user interface (GUI) tasks but often re-solve previously encountered subtasks, increasing token use and latency. We address this limitation with a directed graph-based persistent memory in which nodes represent observable GUI states and edges encode executable action sequences. We formalize the memory-augmented agent as $\mathcal{S}=⟨A,\mathrm{\Sigma },\mathcal{G},\delta ,\pi ,\mathrm{\Phi }⟩$, define task reachability and memory-coverage conditions inspired by functional stability theory, and derive token-cost efficiency bounds. In control-theoretic terms, the Manager–Worker architecture can be interpreted as a closed-loop system where memory provides experience-based feedback; this interpretation is used as an analogy rather than a full model-reference adaptive control proof. Experiments on OSWorld show that the proposed agent cuts both the LLM token consumption and execution time by about 50% versus a memoryless baseline while preserving comparable success rates (≈36.9% on 15-step and ≈46.9% on 50-step tasks). The demonstrated contribution is therefore operational efficiency through reusable graph memory, not a claim of improved task success or classical Lyapunov stability. Full article