Search Results (694)

Background/Objectives: Previous literature has linked nutrition with both psychological distress and well-being. However, less is known about how psychological and spiritual resources cluster within individuals or whether distinct psychospiritual profiles are associated with dietary and lifestyle behaviors. This study examined these associations using a person-centered approach. Methods: A community sample of 522 adults from the United States completed measures of perceived stress, depressive symptoms, coping self-efficacy, gratitude, forgiveness, religiousness/spirituality, daily spiritual experiences, religious/spiritual meaning and beliefs, and dietary and lifestyle behaviors. Latent profile analysis was conducted to identify psychospiritual profiles. Results: Four profiles were identified: Moderate (n = 195), Flourishing (n = 199), Vulnerable (n = 70), and Maladaptive (n = 58). The Flourishing profile demonstrated the most adaptive psychological functioning and was associated with healthier dietary behaviors, including lower breakfast skipping and fast-food consumption, greater whole-grain and vegetable intake, lower salt use, and lower sweets and dessert intake. The Vulnerable profile demonstrated the highest levels of perceived stress and depressive symptoms together with relatively elevated religiousness/spirituality, whereas the Maladaptive profile was characterized by elevated distress and consistently low levels of psychological and spiritual resources. Overall, the Vulnerable and Maladaptive profiles demonstrated less favorable dietary patterns relative to the Flourishing and Moderate profiles. However, the observed effects were generally modest and selective. Conclusions: Dietary and lifestyle behaviors may be associated with broader psychospiritual configurations rather than isolated psychological characteristics alone. The findings additionally highlight the heterogeneous nature of religiousness and spirituality within psychological functioning. Full article

Person–Environment Fit Theory explains organizational match in beliefs and values influences employee satisfaction and motivation in the workplace. Automated systems [e.g., artificial intelligence (AI)] and advanced technology have been integrated into business operations to compete in the digital era. However, how employee technology orientation and individual differences influence workplace preferences is underexplored. This study advances how organizations can strategically attract talent aligned with their technological infrastructure and work design. Parallel mediation path analysis was conducted on a surveyed U.S. convenience sample (SPSS PROCESS Model 4; N = 912). Technology adaptability was positively associated with preference for a job role highlighting working with automated systems relative to emphasizing supportive coworkers. Technology adaptability related to a greater need to belong and job satisfaction (as parallel mediators) and thereby less preference for a role working with automated systems (i.e., preference for a supportive coworkers job ad). The findings reveal that job ads promoting automated systems do not unilaterally attract tech-adaptive employees. Belonging needs and job satisfaction can function as psychological factors that redirect tech-savvy workers towards socially enriched roles. Proactively advertising social belonging and job satisfaction cues alongside advanced technology use could more comprehensively appeal to tech-adaptive job seekers. This can signal a better value congruence between an organization and these job seekers. Full article

The transition towards sustainable manufacturing necessitates complex optimization that integrates economic goals with environmental factors, such as energy consumption and greenhouse gas emissions. This research addresses the critical challenge of optimizing the Incoming Quality Control (IQC) policy for raw material batches. The primary objective is formulated as a multi-criteria control problem that jointly minimizes the weekly final product cost, carbon footprint, and energy consumption. To handle sequential decision making under uncertainty, we adopt a scalarized reinforcement learning (RL) reward that combines these objectives into a single value function and explores different trade-offs through alternative weight configurations. To effectively handle the uncertainty in incoming quality and the sequential decision making required for dynamic control, the optimization problem is modeled as a Bayesian Adaptive Markov Decision Process (BAMDP). To maintain computational tractability despite the continuous belief space inherent in the BAMDP formulation, we employ a Deep Q-Network (DQN) architecture acting as an approximate dynamic programming solver. The Bayesian framework represents model uncertainty explicitly, updates beliefs as new inspection evidence becomes available, and allows prior domain knowledge on supplier quality to be incorporated into the learning process. The BAMDP formulation is used to learn a set of adaptive inspection policies that adjust the IQC strategy over time to achieve conflicting goals: reducing inspection costs while maintaining standard quality, minimizing energy consumption, and lowering CO₂-equivalent emissions. The goal is to find robust policies that balance these trade-offs under different quality and demand conditions. This methodology aligns with the principles of Industry 5.0 by leveraging advanced artificial intelligence (AI) methods, such as reinforcement learning (RL), coupled with a stochastic simulation of the production system, based on a geometric/physical model of the component’s tolerance chains, to support decision-makers in designing and assessing sustainable IQC strategies. Comparative simulations on the case study, including a benchmark against ISO 2859-1 sampling plans, confirm that this dynamic and risk-aware optimization paradigm can reduce overall cost, energy use, and environmental impact across various quality conditions, while preserving outgoing quality. Full article

We focus on the use of the Modern Lesbian dialect in the linguistic landscape (LL), highlighting its diverse forms and functions. Since LL research primarily investigates written language in public space, emphasizing the dynamic relationship between language, place, and historicity, the growing visibility of the dialect in both physical and digital contexts (cf. the online–offline nexus) is particularly noteworthy. The presence of non-standard varieties in public discourse has been widely studied, revealing that aspects of language choice and use are related to the sustainability of minority languages, the shaping of linguistic attitudes and stereotypes, and the commodification of language as a cultural and economic resource. Within this framework, the data analyzed here illustrate positive attitudes toward Modern Lesbian, expressions of pride and comfort among its speakers, efforts to destigmatize dialectal speech, and indications of broader acceptance of Modern Lesbian. Meanwhile, the increasing commodification of the dialect is evident in its use for the promotion of products and services, capitalizing on its distinctiveness, despite its historical stigmatization vis-à-vis the standard. This development does not dissolve entrenched beliefs on the incompatibility of dialects with written discourse; rather, it capitalizes on the surprise (and humor) generated by their written presence in promotional contexts without resorting to humorous stereotyping. Full article

Background/Objectives: Free riding in healthcare occurs when actors benefit from health-related public goods, risk-pooling arrangements, common resources, or cooperative institutions while contributing less than is socially optimal. This review clarifies how free-rider dynamics differ across vaccination, health insurance and universal health coverage, antimicrobial resistance, organ donation and transplant allocation, and global health cooperation. Methods: A narrative review with conceptual synthesis was conducted. Searches of PubMed and Scopus were complemented by citation tracking and targeted inclusion of foundational economics, game theory, public-health ethics, and market-design sources. Sources were mapped by domain, actors, strategies, payoff structure, information conditions, time horizon, enforcement mechanism and policy relevance. Results: Across domains, free riding arises when private payoffs diverge from collective welfare, but the underlying game differs: threshold public-good and coordination games in vaccination, adverse-selection and participation games in insurance, common-pool-resource dilemmas in antimicrobial use, donor-registration and matching-market problems in transplantation, and repeated public-goods games in global health. The review identifies three policy functions: altering payoffs, altering information and beliefs, and changing the structure, repetition, or enforceability of the game. Conclusions: Game theory is most useful as a mechanism-based framework rather than a stand-alone policy prescription. Its policy value depends on empirical calibration, institutional context, ethical legitimacy, and attention to equity, incomplete information, behavioral responses, and enforcement capacity. The synthesis also emphasizes boundary conditions: game-theoretic prescriptions can fail when political economy, asymmetric power, implementation capacity, access barriers, or trust-related drivers are ignored. Full article

This study examines the theological structure of Tengrism, understood here as a heuristic term for the broader Tengri-centered early Turkic belief system, its historical transformation, and its continuity in post-Islamic Turkic culture and folklore from an interdisciplinary perspective. Although the continuity of pre-Islamic Turkic beliefs in later Turkish folk culture has been noted in previous scholarship, the specific mechanisms through which Tengri-centered concepts survived as implicit theological structures within lived religion, folk belief, and Alevi-Bektashi ritual–poetic traditions have not been sufficiently systematized. The research argues that Tengrism should not be understood merely as an archaic remnant of belief but as a comprehensive theological paradigm shaping cosmology, political legitimacy, ethical order, and the perception of sacredness in early Turkic societies. In this context, epic and mythological texts such as the Orkhon Inscriptions, the Epic of Oghuz Khan, the Book of Dede Korkut, and the Epic of Manas constitute the primary textual sources of the study. The research is based on a qualitative design and employs phenomenological and hermeneutic approaches. The phenomenological perspective seeks to understand the theological principles of Tengrism and the perception of sacredness within their own cultural and symbolic universe, while hermeneutic analysis interprets the continuity of symbolic and mythological elements preserved in folkloric narratives. The findings indicate that the Tengri-centered and cosmologically structured character of early Turkic religiosity did not disappear after the adoption of Islam; rather, it persisted through folkloric narratives, popular beliefs, ritual practices, and the Alevi-Bektashi tradition. These findings demonstrate that Tengrism continues to function as a dynamic theological paradigm within Turkish cultural memory and popular religiosity. Full article

The rapid expansion of space activities requires manufacturing strategies that align environmental performance with engineering functionality, yet sustainability assessments of additive manufacturing (AM) remain affected by significant data uncertainty. This study presents an uncertainty-informed Life-Cycle Assessment (LCA) framework to evaluate the environmental and performance trade-offs between Laser Powder Bed Fusion (LPBF) and conventional CNC machining for a satellite mounting bracket. The assessment adopts a process-based cradle-to-gate approach and integrates a hybrid uncertainty propagation methodology combining Dempster–Shafer theory for epistemic uncertainty with Monte Carlo simulation for aleatory variability. Environmental impacts are represented as interval-valued outcomes with associated belief–plausibility measures, enabling explicit quantification of epistemic uncertainty. In parallel, a performance-based benefit metric based on stiffness-to-mass ratio is introduced and propagated under uncertainty using a consistent framework. Environmental and performance indicators are normalised and combined into a composite trade-off metric, allowing the evaluation of manufacturing alternatives across a range of environmental weighting scenarios. Decision outcomes are expressed in terms of belief and plausibility, capturing both support and indeterminacy under uncertainty. Results indicate that CNC machining exhibits lower midpoint environmental impacts and narrower uncertainty intervals across key categories, while LPBF shows higher potential impacts and substantially wider epistemic uncertainty, primarily driven by powder production and limited inventory data. However, when performance benefits are considered, LPBF may become preferable under specific trade-off conditions. These findings highlight the importance of explicitly accounting for epistemic uncertainty and performance considerations when evaluating sustainability trade-offs in aerospace manufacturing. The proposed framework supports early-stage eco-design by enabling robust decision-making under incomplete knowledge. Full article

A significant transformation in the Chinese pictorial tradition took place during the Han Dynasty. Stone reliefs, considered here as a representative art form, recorded the evolution of social thought, funeral concepts, and religious beliefs. Images of immortals on stone reliefs from the northwest region of the Han Realm—an area that included both northern Shaanxi and northwestern Shanxi—combined the belief system of the Central Plains with local characteristics. This research explores how divine images in stone reliefs were adapted to local contexts and took on new functions within the frontier environment and what social forces and beliefs drove these changes. Full article

Persistent post-concussion symptoms (PPCS) following mild traumatic brain injury (mTBI) are common and frequently disabling. However, symptom persistence is often poorly correlated with injury severity or structural brain abnormalities. Increasing clinical and research evidence suggests substantial overlap between PPCS and functional neurological disorder (FND), yet this interface remains poorly synthesised and conceptually unresolved. To systematically review and synthesise the evidence linking mTBI with functional neurological symptoms, and to refine existing conceptual models by proposing a clinically useful framework for differentiating functional and organic contributions to persistent post-concussion presentations. A scoping review with narrative synthesis were conducted. Database searches yielded 120 records; after duplicate removal and abstract screening, 57 studies underwent full-text review. Included studies comprised systematic reviews, narrative and conceptual reviews, mechanistic hypothesis papers, primary observational studies, case series, case reports, and early interventional and neuroimaging investigations examining functional neurological symptoms in the context of mTBI. The literature demonstrates substantial phenomenological overlap between PPCS and FND across cognitive, motor, sensory, visual, and seizure-related domains. Functional neurological symptoms can emerge after concussion and may closely resemble PPCS, often in association with psychiatric comorbidity, dissociation, trauma exposure, and maladaptive attentional or illness-belief processes. Objective neurological impairment and injury severity show weak and inconsistent associations with symptom persistence. The evidence base is dominated by clinic-derived observational studies, with no population-level incidence estimates identified. Functional neurological symptoms represent a significant and under-recognised contributor to persistent symptoms after mTBI. Existing evidence supports moving beyond binary organic–psychogenic models toward a functional–organic differentiation framework that acknowledges dynamic interactions between injury-related and functional mechanisms. Improved screening, diagnostic communication, and stratified management are likely to enhance outcomes for patients with persistent post-concussion symptoms. Full article

Parental emotional expressivity toward their child is an integral component of creating a family emotional climate, which is the primary context in which children develop social–emotional skills. The current study sought to empirically test Darling and Steinberg’s model that parent attitudes that make up parenting style effect parental emotional expressivity during parent–child interaction. Using longitudinal data from the NICHD Study of Early Child Care and Youth Development (SECCYD), the authors examined the compounding effects of maternal authoritarian attitudes measured soon after birth on maternal emotional expressivity toward their infant across three time points (child at 6, 15, and 24 months old). Hierarchical linear modeling analyses (HLMs) demonstrated that a mother’s (n = 1165, M_age = 28.2 years) authoritarian attitudes were associated with both decreased positive expressivity and increased negative expressivity toward their child at 6 months of age. Mothers who held more authoritarian attitudes at baseline demonstrated an increased rate of growth in negative expressivity toward their child over time. Maternal race and income were also significantly associated with the linear rate of growth of negative expressivity over time but not in positive expressivity. This suggests that authoritarian attitudes measured when the child is 1 month old continue to impact parent behavior up to 23 months later. This pattern suggests a potential window for effective universal prevention efforts in promoting nurturing parent behavior and promoting positive parent–child relationships. A possible target of prevention intervention could be providing parents with components of a modularized emotion regulation curriculum. The content could help parents to regulate their negative expressivity toward the child and focus on the message they want to convey to the child related to the child’s specific behavior. Full article

For the low-lying atolls across Pasifika, climate change is neither hoax nor hypothesis but an imminent and lived reality. If theology is always contextual, then this is our context: ecological collapse unfolding in real time, exposing the fragility of some of our most cherished doctrinal frameworks. This paper responds to the growing call to reconsider the nature and function of doctrine under such pressure. Anglican theologian Mike Higton speaks of the “unfinished conversations” and “many voices” addressing the environmental crisis. This study extends that talanoa by bringing the emerging ‘Pasifika Household of God’ tradition into conversation with the Church’s first sustained post-apostolic household theology: Irenaeus of Lyons’ vision of the oikonomia theou. Bringing the Pasifika tradition as developed in the Pasifika Conference of Churches (PCC) declarations into conversation with Irenaeus’ cosmic ktisiology, this paper challenges the dominance of Western doctrinal formulations and calls for repentance through a return to humanity’s true vocation of theosis—divine participation within and as part of what creation itself is becoming in Christ. This vision stands in stark contrast to empire’s apotheosis: the pursuit of false divinity through conquest, neoliberal success, and escapist eschatologies. In the Patristic–Pasifika partnership here proposed, doctrine is not a static catalogue of propositional beliefs but a sacramental indwelling. Doctrine becomes dwelling as depth of tradition meets depth of place. Full article

Positive teacher–student relationships in early childhood predict stronger academic and social–emotional outcomes, whereas conflictual or dependent relationships contribute to children’s stress and behavioral and academic difficulties. While prior research emphasizes teachers’ observable relational behaviors, fewer studies explore the internal emotional and cognitive processes that shape these relationships. This mixed-methods study examined how preschool teachers’ emotion socialization practices (i.e., emotion coaching and dismissing) and their classroom expressions of positive and negative emotions relate to their mental representations of their relationships with students. Quantitative analyses tested whether teachers’ emotional expressiveness moderated associations between their emotion socialization practices and relational representations. Complementing these analyses, qualitative narrative interviews with an independent teacher sample explored how educators described their emotional expressiveness, emotion-related practices, and perceived relationships with students. Informed by emotion socialization theory, attachment theory, and the prosocial classroom model, findings highlight the interplay of teachers’ emotional beliefs, regulation, and relational schemas in shaping classroom climate. Our integration of quantitative and qualitative insights provides a more comprehensive understanding of teachers’ emotional functioning and underscores the importance of supporting educators’ relational and emotional competencies to enhance classroom quality and student well-being. Full article

Understanding academic achievement requires moving beyond the identification of influential factors toward explaining how these factors are organized into functional learning and cognitive mechanisms. Although prior research has extensively documented the roles of socioeconomic status, student attitudes, and learning behaviors, less attention has been paid to how these elements interact within structured pathways that reflect underlying learning intelligence across educational systems. This study adopts a mechanism-oriented perspective to examine mathematics achievement using data from PISA 2018. Focusing on high-performing regions in East Asia and Western countries, it integrates interpretable artificial intelligence methods with structural modeling to investigate how contextual, psychological, and learning-process factors jointly shape achievement outcomes. The findings show that high achievement is not governed by a single set of dominant predictors, but by distinct organizational mechanisms of learning intelligence. In East Asian systems, achievement follows a chain-like convergent structure, in which socioeconomic background is systematically translated into academic outcomes through sequential psychological and self-regulatory processes. Psychological factors, particularly educational expectations and self-beliefs, function as key mediating mechanisms that organize learning engagement and strategy use. By contrast, high-performing systems in Europe and North America exhibit a parallel configuration, in which multiple cognitive and behavioral factors independently contribute to achievement through more decentralized pathways, reflecting a distributed structure of learning intelligence. Across regions, learning processes such as reading engagement and digital literacy show consistently positive associations with achievement. However, their roles vary depending on how they are embedded within broader system-level structures. These results suggest that self-regulation operates not merely as an associated factor, but as an organizing mechanism of learning intelligence that structures the translation of background resources into performance. By reconceptualizing prediction as a means of revealing the organization of learning intelligence, this study proposes a unified analytical framework that links interpretable artificial intelligence with theory-driven explanation. The findings contribute to a deeper understanding of how achievement systems function and highlight that high performance can emerge through multiple, structurally distinct pathways, with important implications for educational research, cognitive theory, and policy design. Full article

Background/Objectives: This study explored parents’ perspectives regarding digital media use in children and adolescents with neurodevelopmental disorders (NDs) and examined how these views vary according to family and clinical characteristics. Methods: Data were collected from an Italian survey involving 352 families. Items assessed the perceived effects of digital devices on child development and parenting, awareness of screen time guidelines, and use of time- and content-limiting tools. Quantitative analyses were complemented by a reflexive thematic analysis of open-ended responses describing how digital media influenced parenting. Results: Parents expressed divergent attitudes towards digital media, with broadly similar proportions reporting positive, neutral, and negative views regarding both child development and parenting. More favourable views were associated with greater perceived benefits for children and were more frequent among parents of children with more severe functional disabilities. About half had discussed screen use with health professionals, and most were aware of existing guidelines. Thematic analysis identified six themes related to digital parenting: educational means (digital devices as tools for communication, learning, and socialisation), entertainment (screens as a source of leisure or behavioural management), reward (digital media used as reinforcement), screen time as a “necessity” (technology as an integral and sometimes rehabilitative part of daily life), negative effects on the child (concerns about detachment, reduced social interaction, and mood dysregulation), and parental behaviour and attitudes (reflecting the emotional burden of regulation and broader beliefs about digital media). Conclusions: Parents of children with NDs navigate digital media use through a complex balance of perceived risks and benefits. Findings highlight the need for family-centred guidance and assistive technology approaches that promote digital inclusion while addressing parental stress and regulatory challenges. Full article

Control-barrier-function-based safety filters are promising for autonomous driving, but most existing formulations treat obstacle perception as deterministic or account only for bounded ego state-estimation errors. This becomes limiting when obstacle existence, position, motion, and sensing quality vary online. We present a sensor-health- and belief-aware risk-adaptive high-order control barrier function (HOCBF) safety filter for dynamic obstacle avoidance. The method uses obstacle belief from a perception/tracking module, inflates residual obstacle uncertainty according to an object-wise sensor-health score, and converts upper-tail risk into adaptive HOCBF tightening through conditional value-at-risk (CVaR). Sensor health enters the controller through both covariance inflation and online CVaR confidence scheduling. The resulting quadratic program combines deterministic ego-error robustness with probabilistic perception uncertainty while minimally modifying the nominal control input. The zero-slack solution guarantees forward invariance of the risk-tightened safe set under the stated assumptions, whereas the slack-activated mode provides a quantified least-violation fallback rather than a strict safety guarantee. Simulations on a nonlinear 3-DOF bicycle model evaluate critical cut-in, sudden perception degradation, merge-bottleneck, fixed-CVaR, sensitivity, runtime-scaling, heterogeneous multi-obstacle, and heavy-tailed uncertainty cases. Full article