Interpersonal violence as a public health issue amongst the refugee, migrant and learning disability communities.

Social markers of acceptance are the attributes seen as important for immigrants to achieve or display in order to be accepted similarly to a local-born citizen. In research on constructions of national identity, factor analysis reveals a culture-specific, two-factor structure akin to the ethnic–civic distinction observed. In this paper, we extend this work by examining the relationship between social markers of acceptance and immigrants’ well-being in three national contexts: Australia, Japan, and the U.S. Specifically, in study 1 we examined the factor structure of social markers in non-immigrant samples in each context (Australia, n = 1357; Japan, n = 2000; U.S., n = 395). In study 2 we investigated the association between immigrants’ (Australia, n = 521; Japan; n = 878; U.S., n = 174) perceived fit with the ethnic and civic markers from study 1 and their self-rated stress and life satisfaction. We found that immigrants’ self-rated fit with the markers was negatively associated with perceived stress and positively correlated with life satisfaction, though not consistently across well-being indicators or samples. Nonetheless, across samples, self-rated fit with ethnic markers positively predicted life satisfaction, while fit on civic markers negatively predicted perceived stress. These findings underscore the utility of the social markers framework for examining culture fit and immigrant well-being. We further consider the results in relation to the conceptualisation and measurement of immigrant psychological well-being, and the contextual differences in multicultural climate, immigrant acceptance, and immigrant–non-immigrant relations in the three nations examined.

With the global rise of veganism, shifting dietary habits are reshaping the social roles and identities of Australian vegan men. Despite a predominance of research in female experiences of veganism, this topic remains underexplored for men. Using the social identity theory framework, this phenomenological, semi-structured interview study explores how 27 Australian vegan men perceive and navigate their social identities within their social relationships. Using reflexive thematic analysis, we found four main themes. The first two illustrating out-group interactions: (i) masculinity and moral identity and (ii) navigating vegan identity: community and cultural integration and the final two illustrating within-group interactions, (iii) Negotiating dietary boundaries: whole-food and flexible veganism and (iv) close connections: strengthening personal bonds. Australian vegan men navigated their social identities through out-group dynamics involving masculinity, ethical commitments and community integration, and in-group dynamics marked by dietary boundary negotiation and solidarity with vegan communities. However, they also faced social isolation and strained relationships. SO WHAT?: Their experiences reflected identity negotiation processes shaped by moral values, subgroup tensions and the importance of supportive social relationships in sustaining vegan practices. We recommend awareness of vegan male experiences of stigma, false perceptions and struggles with masculine ideals versus masculine values.

The accelerating pace at which topics rise, peak, and fade across digital platforms has made early trend detection a critical capability for journalism, public health surveillance, marketing, and policy planning. Conventional trend-detection systems rely on single-platform signals and opaque deep learning models, which limits both their coverage and their trustworthiness in operational decision-making contexts. This paper proposes a multi-source social media analytics framework that fuses textual, temporal, and network signals from Twitter/X, Reddit, YouTube comments, and news RSS feeds to detect emerging trends substantially earlier than single-source baselines. The framework combines a burst-aware temporal feature extractor, a graph-based diffusion model capturing cross-platform propagation, and a gradient-boosted forecasting ensemble, with SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-Agnostic Explanations) layers providing per-prediction interpretability. We evaluate the framework on a curated 14-month, multi-platform dataset spanning approximately 9.2 million posts across 1,800 manually and weakly labeled emerging topics. The proposed system achieves a mean detection lead time of 36.4 hours ahead of trend-platform native trending lists, an F1-score of 0.91 for trend/non-trend classification, and a mean absolute percentage error (MAPE) of 11.3% for 48-hour volume forecasting, outperforming LSTM, Prophet, and single-platform XGBoost baselines. Explainability analysis shows that burst acceleration, cross-platform co-occurrence, and influencer-adjusted reach are the most consistently influential features across topic categories. The results demonstrate that combining multi-source fusion with explainable machine learning yields both earlier and more trustworthy trend forecasts, with direct implications for misinformation early-warning systems, public health surveillance, and real-time marketing intelligence.

The rapid adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) has transformed traditional workforce management by enabling intelligent recruitment, employee performance evaluation, talent analytics, workforce planning, and organizational decision-making. Simultaneously, the growing volume of research publications in AI-driven HRM has created complex collaboration networks among researchers, institutions, and countries. Social Network Analysis (SNA) provides an effective methodology for exploring these collaborative relationships by identifying influential authors, research communities, institutional partnerships, and knowledge diffusion patterns. This paper presents a comprehensive Social Network Analysis framework for examining research collaboration in AI-driven Human Resource Management. The proposed framework integrates bibliometric analysis, network construction, graph analytics, and visualization techniques to investigate co-authorship, institutional collaboration, countrylevel partnerships, keyword co-occurrence, and citation relationships. Graph-based metrics including degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, network density, and modularity are utilized to evaluate collaboration strength and identify influential research communities. Comparative analysis demonstrates that AI-driven HRM research has experienced significant global collaboration growth, interdisciplinary knowledge sharing, and increased institutional connectivity over recent years. The findings provide valuable insights into emerging research trends, collaborative structures, influential contributors, and future research opportunities within AI-enabled Human Resource Management. The proposed framework contributes to strategic research planning, policy formulation, and international scientific collaboration by providing a data-driven understanding of the evolving research ecosystem.

The Sport Concussion Assessment Tool (SCAT) is widely used to evaluate suspected concussion, yet its cultural suitability for Aboriginal and Torres Strait Islander peoples remains underexplored. Guided by a social constructionist framework, this study examined perspectives on the SCAT5 through semi-structured yarns with community members in Perth, Western Australia. Reflexive thematic analysis of data identified concerns related to medical jargon, inconsistent terminology, reliance on written instructions and overall readability of the SCAT5. Participants underscored the importance of trust, clear explanations and culturally appropriate communication formats, such as pictorial or verbal information. Although the SCAT6 introduces some improvements, our findings highlight the need for community-endorsed, culturally valid adaptations in future iterations. Culturally responsive concussion assessment tools are essential to support accurate diagnosis, foster patient-clinician trust, and promote safer recovery pathways for Aboriginal and Torres Strait Islander peoples.

As Japan’s Muslim population grows, religious accommodation in public schooling is increasingly pressing, yet existing research has focused on individual families and schools while overlooking Muslim community networks. This study examines why Muslim families in Kumamoto City are ‘getting by’ in securing school lunch accommodations but not ‘getting ahead’: why, despite an organised community centred around the Kumamoto Islamic Centre (KIC), parents continue negotiating individually rather than collectively. Drawing on interviews with Muslim parents and Japanese educators, the study employs a social capital framework distinguishing bonding, bridging, and linking capital. Families rely on co-ethnic bonding networks. Bridging capital within KIC has not been mobilised around halal because diversity of interpretation prevents a collective position from forming; without it, linking capital connecting the community to schools and authorities cannot develop. Three accommodation types are documented: an informal parent-led arrangement, a formalised shared-responsibility system (the ABCD system), and an institution-led full provision model. The ABCD system has the greatest potential for broader application. The study argues that the absence of a unified community position is a structural feature of how halal is practised in a diverse community, and that systemic improvement requires municipal frameworks that support school-level accommodation without presupposing collective consensus.

In a world flooded with images, emerging visual technologies are playing a pivotal role in transforming how images are created, interpreted, and trusted in human vision. This article explores how machine-driven vision fits into a long history of mediated seeing, including drone photography. Drawing on a multimodal social semiotic framework, the study examines two widely circulated case studies: the deepfake of Pope Francis in a puffer jacket and the forged arrest of Donald Trump. Through this approach, the article demonstrates how such images derive from the mobilisation of familiar visual narratives. These synthetic visuals function as culturally resonant signs, blurring the boundaries between realism, satire, and misinformation. In response to these developments, the article suggests that visual culture is transitioning into a post-photographic epoch, characterised by declining reliance on images as direct evidence and their replacement by computer-generated representations. As AI-generated images circulate as seemingly real records, they challenge public trust in visual perception and highlight the need for enhanced visual, digital and algorithmic literacy. These literacies enable viewers to critically understand synthetic images and navigate complex visual environments where authenticity cannot be taken for granted.

All that matters is personal development: A conservation of resources perspective on the well-being of cross-border migrant Hong Kong and Macao youth in Mainland China.

This study analyzes the determinants of self-reported behaviours and perceptions associated with pesticide toxicity risk in children using the Social Practice Theory framework, linking individual factors and agricultural practices to understand vulnerability and prevention opportunities. This research was conducted in Pattapang Village, Tinggimoncong District, Gowa Regency, South Sulawesi Province, Indonesia. To examine the relationship between pesticide use patterns, social norms, competence, material, and individual aspects and the risk of sensitive toxicity in children, data were analyzed using structural equation modeling-partial least squares (SEM-PLS) with bootstrapping resampling. Pesticide use patterns had a significant negative effect on toxicity risk. Competence was the strongest predictor of pesticide use patterns, followed by materials and short-term goals. Personal values dominate personal norms and long-term goals, while social norms only influence personal norms. Self-efficacy, personal norms, and long-term goals showed no significant effects. The novelty of this research lies in the integration of a socio-ecological approach with individual psychological factors in a comprehensive structural model that explains the complex mechanisms of children's protective behavior formation from pesticide toxicity, identifying that personal values-not personal norms or self-efficacy-are the most effective leverage points for farmer behavior change interventions.

Mainstream global mental health continues to privilege individual-level risk factors and biomedical approaches and treatments while sidelining the structural forces that shape mental distress. Despite calls for more socially embedded and decolonial approaches, policy and research too often neglect how structural phenomena such as globalization, colonialism, and neoliberal reforms directly drive mental health inequities. Drawing on Latin American traditions of social medicine-particularly Jaime Breilh's paradigm of social determination of health-this debate article critiques reductionist frameworks that fragment structural causation into depoliticized lists of risk factors. We articulate a social determination approach for mental health research and practice, emphasizing the multi-level embodiment of power relations, the historical-political organization of social life, structural drivers embedded in institutions and policies, and the role of collective agency and praxis. Illustrative vignettes from Latin America (employment, discrimination, and environment) demonstrate how historically structured processes linking global political economy, institutional arrangements, and everyday social relations become embodied as mental distress, and how participatory and mixed-method research can help document these dynamics while supporting transformative, community-led responses. We argue that adopting a social determination lens can reorient global mental health policy and scholarship toward structural justice, in line with recent international calls to decolonize and politicize mental health research. Not applicable.

Growing research highlights interpretation inflexibility as a key transdiagnostic mechanism across psychopathologies. Yet, few studies have examined its role in everyday socio-emotional processing. This review bridges that gap by exploring how interpretation inflexibility contributes to psychopathology-particularly depression and psychosis-in social contexts. Evidence suggests disrupted interpersonal processes, including rigid interpretations of social scenarios and impressions of others, are central to understanding depressive and psychotic symptoms. Depression is marked by valence-specific, context-dependent inflexibility, with difficulty disengaging from negative biases. In contrast, psychosis shows a broader inflexibility across emotional valences. The review also outlines evolving measures of interpretation inflexibility, emphasizing the need to account for social context in interpretation revision. Current findings highlight the value of examining inflexibility within social frameworks to better understand its role in adaptive functioning and psychopathology. Future research on interpretation inflexibility in social contexts could inform novel interventions and improve clinical outcomes.

Research on interpersonal emotion regulation has illuminated how leaders can use four interpersonal emotion management (IEM) strategies-situation modification, cognitive change, attentional deployment, and modulating the emotional response-to help regulate subordinates' emotions and manage their work outcomes. However, this literature remains theoretically incomplete, because it has largely examined these strategies in isolation, overlooking the extent to which they coexist and interact in shaping subordinates' attributions and behaviors. To address this limitation, we adopt a person-centered approach to examine how leaders combine IEM strategies in distinct dyadic patterns (i.e., profiles) within leader-subordinate relationships. Drawing on the social role framework of interpersonal affect regulation and attribution theory, we further investigate the antecedents and outcomes of these patterns. Across four studies, we identify five stable dyadic IEM patterns-adaptive, moderate, inactive, pragmatic, and moderate-pragmatic-with the first four patterns emerging consistently across all four studies, and all five patterns emerging in three of the studies. We find these patterns are distinguished by dyadic-level leader IEM motives (i.e., coaching, compassion, and instrumentality motives) and are associated with distinct subordinate behavioral responses, such as organizational citizenship behavior and interaction avoidance toward the leader. Given the widely acknowledged prevalence and significance of emotions in the workplace, these findings have vital implications for theory and practice on IEM within organizations. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

The interplay between actual and perceived air pollution, physical activity, and stress across mobility-based geographic contexts: A double machine learning approach.

ABSTRACT Despite growing awareness of climate change’s disproportionate impact on historically marginalized communities, their voices remain underrepresented in research and planning. The Community-Academic Partnerships to Advance Equity-Focused Climate Action (CAPECA) project sought to bridge this gap by supporting equitable collaborations between community leaders and academic researchers. Grounded in participatory action research, popular education, and social equity frameworks, CAPECA supported 12 community-academic partnership (CAP) teams across California to develop and implement community-driven climate strategies. This descriptive case study draws on exit interviews, program archives, and team-generated materials to examine CAPECA’s 18-month training program. Findings show that CAPECA strengthened participants’ skills in inclusive facilitation, research design, and action planning. Teams applied participatory methods to co-produce knowledge, mobilize engagement, and center cultural and local priorities. Community-led strategies ranged from intergenerational learning and arts-based events to environmental monitoring and policy advocacy. CAPECA offers a replicable model for embedding equity and frontline leadership in climate resilience initiatives.

Behavioural and social drivers of childhood immunisation uptake in sub-Saharan Africa: A rapid qualitative review.

This paper presents a methodological framework for anomaly detection in child benefit administration based on Long Short-Term Memory (LSTM) neural networks. The content of this analysis, in general, is situated within the social (S) pillar of the environmental, social, and governance (ESG) accountability framework. We construct a framework applied to 305,338 child allowance claim records from the Fund for Child Protection of Republika Srpska, Bosnia and Herzegovina (February 2017 to December 2025), construct behavioural and demographic features at the applicant and household level, encode sequential claim histories as three-dimensional tensors, and conduct a systematic architecture sweep across six LSTM configurations. The target variable, the guardianship anomaly flag, identifies 172 anomalous records (0.056%) among 305,338 claims, and yields a class weighting ration of approximately 1515:1. Across all six configurations, ROC-AUC values range from 0.706 to 0.870 and PR-AUC from 0.002 to 0.071. The reference configuration (L1_U10_T20_he_normal, ROC-AUC = 0.870) flags 170 applications (0.37% of the test set) for priority manual review at the operational audit threshold of τ=0.05. The highest-risk application identified (anomaly probability 0.935) is characterised by a four-child household with below-poverty declared income, elevated benefit-to-income ratios, home delivery payment method, and a persistent high-risk sequential claim pattern not previously flagged by the Fund’s rule-based administrative system. The results confirm that LSTM-based sequential anomaly detection is a viable and principled complement to rule-based eligibility screening in public social transfer administration.

ABSTRACT This study examines the research published on school meal programs in Türkiye through the lenses of Bronfenbrenner’s socio-ecological model and Fraser’s social justice framework. Following PRISMA 2020 guidelines, 21 studies published after 2000 were analyzed using the Mixed Methods Appraisal Tool. Findings reveal a fragmented research landscape dominated by individual-level nutrition education interventions, with limited attention to institutional, community, and policy dimensions. Persistent disparities between public and private schools, urban and rural areas, and socio-economic groups highlight significant distributive and recognitive justice gaps. While some interventions improve short-term nutritional knowledge, evidence on long-term outcomes and inter-ministerial coordination remains scarce.

Middle-aged African American men experience disproportionate rates of chronic disease, reduced life expectancy, and barriers to preventive and mental health care. From a public health perspective, these inequities reflect the intersection of structural racism, medical mistrust, and gendered norms of masculinity rather than individual behavior alone. This analytic essay examines how masculinity functions as both a barrier to and facilitator of self-care among African American men in midlife using a social constructionist framework. Traditional norms emphasizing self-reliance, emotional restraint, and provider roles often discourage help-seeking and preventive care, whereas racial discrimination and chronic stress further exacerbate risk. At the same time, emerging evidence suggests that reframing masculinity around responsibility, family protection, and community engagement can promote health-supportive behaviors. The findings highlight the need for culturally responsive public health interventions that address structural barriers, affirm positive reframes of masculine identity, and leverage community strengths to reduce health disparities and improve population health outcomes. (Am J Public Health. Published online ahead of print June 11, 2026:e1-e6. https://doi.org/10.2105/AJPH.2026.308477).

ABSTRACT Faced with the dual practical challenges of global population aging and the preservation of intangible cultural heritage, ICH art education has gradually emerged as an innovative path to empower older adults and advance sustainable cultural development. Adopting a scoping review approach, this study systematically collates Chinese and international literature alongside typical practical cases, constructs a multidimensional analytical framework, and explores the internal logic of synergistic empowerment between ICH art education and the elderly. Centered on older learners, this research establishes an individual – economic – social triple-value empowerment framework, clarifying the complete operational context of older adults’ ICH participation from motivation stimulation to diversified value formation. Combining three major practical models in China – community-endogenous development, industry-education integration, and institutional platform operation – the study further refines a stepwise implementation path framed as cultural tracing – craft inheritance – innovative application. By benchmarking mature international models, including the University of the Third Age in Europe, community-based lifelong learning in Japan, and creative aging practices in Britain and the United States, this paper verifies the strong adaptability and popularization potential of the above pathway. This study improves the interdisciplinary theoretical system covering ICH art education and later-life learning. It provides cross-cultural references for policy optimization, curriculum reform and practical improvement in elderly education, and facilitates the paradigm shift of this field from passive cultural conservation to active cultural empowerment. From the perspective of lifelong learning, it also effectively broadens the connotation, boundary and practical implementation paths of elderly education.