ABSTRACT Dutch Caribbean (DC) students face challenges in the racialized Dutch educational context that negatively affect their mental wellbeing and study success. To address this issue, this study aimed to develop need-based intervention(s) to foster resilience and sense of belonging among DC students. A Participatory Action Research (PAR) approach was used to develop and implement five reflexive workshops and one impact event over three years to foster and improve individual and community resilience among DC students. The interventions provided reflexive and healing spaces for students to share racialized experiences, feel connected, and (re)build a sense of self and community. More culturally appropriate interventions were recommended to empower DC students to connect and cope with their emotions and foster resilience. The findings warrant the need for more safe reflexive spaces for racialized students to connect, share experiences, and build both personal and communal resilience – as anti-racist transformative praxis.

Precarious place, powerful participation: The Historicization of floods and community resilience in Pajaro, California

The COVID-19 pandemic intensified existing systemic inequities in educator mental health, particularly in rural and remote Indigenous communities. Educators faced sudden shifts to remote learning, limited access to technology, and challenges supporting students' well-being while adapting pedagogical practices. This qualitative longitudinal, citizen science study explored culturally grounded digital engagement tools to support Indigenous educators' mental health during the pandemic in a prairie province of Canada. Eighteen educators from an on-reserve school participated in baseline focus groups in 2020 (n = 18) and follow-up discussions in 2021 (n = 6). Digital tools, including virtual focus groups and a custom mobile application, enabled inclusive participation despite geographic and pandemic-related barriers. Thematic analysis using NVivo 12 revealed six baseline themes: emotional toll of lockdown, teaching challenges, student concerns, community support, school reopening barriers, and resilience strategies. Three follow-up themes emerged: sustained mental health impacts, adaptation to online teaching, and evolving coping strategies. Across both phases, 'Two-Eyed Seeing', integrating Indigenous and Western knowledge, supported mental well-being, culturally grounded teaching, and community resilience. Findings highlight the need to strengthen digital access, provide culturally informed mental health supports, and deepen collaboration with Indigenous communities to better protect educator well-being during crises. Culturally responsive and technology-enabled approaches are both feasible and meaningful for supporting Indigenous educators' mental health, thereby enabling more inclusive and resilient school health systems.

Alternative approaches to combatting Klebsiella pneumoniae biofilms: A comprehensive review.

Faith or spirituality may foster resilience among forcibly displaced individuals facing postmigration stress, including the loss of social networks, cultural adjustment, and uncertainty. Although prayer and community gatherings promote resilience, their role in building individual and community resilience under postmigration stress is less known. Forcibly displaced adults (N = 272) completed measures of positive religious coping, fate and destiny-related beliefs, and religious and spiritual struggles. Outcomes were individual and community resilience, with postmigration living difficulties examined as a moderator. Positive religious coping was associated with higher individual resilience, β =.15, p =.018, whereas higher religious struggles were associated with lower resilience, β = -.22, p =.001. Postmigration stress moderated the association between spiritual struggles and individual resilience, with the negative association between spiritual struggles and resilience weakening as postmigration stress increased. Both higher positive religious coping, β =.35, p <.001, and higher fate and destiny-related beliefs, β =.37, p <.001, were associated with higher community resilience. Higher postmigration stress was modestly associated with higher community resilience, β =.14, p =.015, but did not moderate observed associations. Taken together, spirituality serves as an important social and psychological resource for forcibly displaced individuals, fostering both individual and community resilience. Under higher postmigration stress, individuals adapt by relying on available coping mechanisms, mitigating the impact of religious struggles on resilience. Programs that promote culturally meaningful religious coping and shared spiritual practices may offer community-driven pathways to resilience for populations navigating forced displacement.

Social enterprises and non-profit organisations are seen as beneficial for sustainable urban development in African mega-cities. How exactly they contribute to the communities they operate in by providing social services or by promoting participation and integration, is, however, not fully understood. Aiming for a better understanding, we conducted qualitative case studies of four different social enterprises/non-profit organisations active in Soweto, Johannesburg. Each case study comprises interviews with different stakeholders and internal and/or published documents. Analysis and interpretation were inspired by Grounded Theory methodology and undertaken first on case, then on a cross-case level. Our findings show the importance of organizational resilience as a precondition and enabler for community resilience. We highlight six themes of relevance for both organisational and community resilience, that shed light on the kind of contribution social enterprises and non-profit organisations can make to local community development. This study demonstrates its originality by addressing a gap in scholarly understanding of how social enterprises organizational resilience act as a precursor and enabler of community resilience thereby opening unexplored research avenues within the emerging domain of social entrepreneurship for resilience.

While housing price prediction is well-studied, the prediction of large-scale housing conditions remains underexplored due to data limitations. This paper addresses this gap by developing a machine-learning model to predict housing conditions across the United States. We integrated property-level data from the Warren Group with neighborhood characteristics from the U.S. Census Bureau's American Community Survey and trained three gradient-boosting algorithms: CatBoost, LightGBM, and XGBoost. Despite XGBoost's slightly higher balanced accuracy, CatBoost was selected as the best model due to its superior resistance to overfitting. The final model's predictions were aggregated to census tracts, ZIP code tabulation areas, and a 36.13 km2 resolution hexagonal grid for national-scale spatial analysis. The resulting comprehensive dataset can serve as a valuable resource for researchers and practitioners to analyze the geography of housing quality with applications in urban planning, disaster management, community resilience, public health, and more.

Abstract Climate change poses unprecedented challenges to rural communities in the Global South, yet the social transformation pathways through which these communities navigate climate impacts remain inadequately understood. This paper examines the intersection of climate change and social transformation in Bahraich District, Uttar Pradesh, one of India's most climate-vulnerable regions. Drawing on empirical climate data spanning 1979–2025, hazard assessments, and a systematic review of community adaptation literature, the study addresses three research questions: (1) What specific climate changes has Bahraich experienced over the past four decades? (2) How are these changes driving social transformation across agricultural practices, livelihoods, and community structures? (3) What pathways exist for just and inclusive adaptation? The findings reveal that Bahraich has experienced a temperature increase of 0.9°C since 2010, a 54.2% reduction in annual rainfall, and a 43.3% worsening in climate severity scores, with drought expected every five years. These biophysical changes are catalyzing profound social transformations: agricultural system reorganization, livelihood diversification, migration pattern shifts, and emerging community-based adaptation strategies. Drawing on comparative insights from Nepal, Vietnam, Peru, and European case studies, the paper proposes an integrated framework for equitable climate transformation centred on four pillars: climate justice and equity, community resilience, participatory governance, and ethically deployed technological tools. The study contributes to scholarship on climate-induced social transformation while offering actionable recommendations for policymakers, practitioners, and researchers working in similar contexts across the Indo-Gangetic Plain.

Business closure, though complex to define, generally refers to the point at which a company ceases operations due to financial instability, managerial inefficiency, or external constraints. While extensive research has explored the causes of closure among larger enterprises, there remains a notable research gap concerning micro-businesses, particularly those operating in rural settings with limited resources and institutional support. This study aims to identify and analyze the key factors influencing the closure of micro-businesses in Townsite, Cabanglasan, Bukidnon. Specifically, it examines the effects of inappropriate location, lack of customer relations, lack of entrepreneurial skills, and poor business planning on the sustainability of micro-enterprises. Employing a quantitative research design, data were collected from 165 micro-business owners through a structured survey using a 4-point Likert scale. The data were analyzed using regression analysis to determine the extent to which each variable influences business closure. Results revealed that all four factors significantly contribute to micro-business closure (p &lt; 0.05), with inappropriate location emerging as the most influential determinant. Businesses situated in remote or low-traffic areas experienced greater risks of failure. Additionally, a lack of customer relations and entrepreneurial skills further heightened closure risks, while poor business planning was also found to be a substantial contributor. The study provides practical implications for micro-business owners and policymakers. It underscores the importance of strategic location selection, enhanced entrepreneurial training, and customer engagement initiatives to improve business survival. Furthermore, collaboration among local stakeholders is essential to create a more sustainable and supportive business environment, ultimately reducing closure rates and promoting economic resilience in rural communities.

This study investigates paleoclimate and ecosystem changes during the Mid-Holocene Northgrippian Age in Western Iran, using geochemical analysis of sedimentary layers from Qalucheh Cave, Kurdistan Province. A 77 cm sediment sequence was analyzed, spanning approximately 1740 years (4140–5880 years BP), with radiocarbon dating confirming its chronological framework. Through XRF analysis and key geochemical proxies such as Mg/Ca, Sr/Cu, Rb/Sr ratios, and elemental concentrations (Zr, Ba, Ti), three distinct climate phases were identified. Stages A (4140–4700 years BP) and C (5400–5880 years BP) reflect humid conditions with dense vegetation, high organic carbon levels, and minimal aeolian activity. Conversely, Stage B (4700–5400 years BP) is characterized by arid conditions, reduced vegetation, high dust input, and significant ecosystem degradation. The findings highlight the interplay between climate fluctuations and ecosystem dynamics, emphasizing the critical role of climate in shaping vegetation cover, soil fertility, and water availability. This study also explores the implications of these environmental changes on human settlements and societal adaptation strategies, such as water management and agricultural innovations, which helped mitigate the adverse effects of arid phases. The research underscores the importance of cave sediments as invaluable archives for reconstructing past climate and environmental conditions, offering insights into the resilience and adaptability of ecosystems and human communities during climatic transitions.

Many social enterprises (SEs) in South African marginalized resource-constrained townships face significant obstacles that hinder their ability to sustainably contribute to community development. However, others survive and thrive. What explains their resilience and impact? Drawing on data from qualitative interviews and literature, this paper interrogates how SEs navigate challenges and contribute to community development in Soweto. Findings suggest that the regulatory environment, cooperation and co-production with (local) government, partnerships with corporates, and philanthropic activities of community members and foundations are the core ecosystem factors shaping SEs’ sustainability and impact. The paper contributes to the understanding of how social enterprises in marginalised urban contexts navigate and utilise these ecosystem factors, emphasising the importance of tailored policies and collaborations in the ecosystems for fostering community resilience.

Guided by the ecological-resilience model (Panzeri et al., 2021), this study examined how individual, community, and societal resources interconnect to sustain resilience outcomes such as psychological distress and subjective well-being during later stages of the COVID-19 pandemic. Resilience was conceptualized as a dynamic, multilevel system of interdependent protective and risk factors operating across ecological layers. Psychological network analyses were conducted separately for two waves of data, encompassing indicators of resilience outcomes, individual strengths, community and social resources, and major life experiences. Network estimation and stability analyses were complemented by an inductive analysis of emergent clusters and pathways to interpret the structural patterns of resilience within the ecological framework. The networks demonstrated a stable and coherent organization across the two waves, with mental health challenges and well-being indicators emerging as the most prominent nodes and clusters of psychological strengths, social connectedness, community belonging, and contextual life experiences forming the surrounding structure. Findings provide empirical support for the ecological-resilience model, demonstrating that adaptive functioning arises from the interplay among individual capacities, community relationships, and broader societal contexts. The inductive interpretation revealed distinct pathways linking personal and collective resources to resilience outcomes, highlighting that recovery and adaptation after adversity are sustained through dynamic, multilevel resource systems rather than isolated individual attributes. Taken together, these findings support an inside-out ecological organization of resilience, with the COVID-19 pandemic illuminating shifting tensions between individual and collective pathways and positioning resilience as a dynamic, multilevel process rather than a purely individual attribute. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

BackgroundWild edible plants (WEPs) are vital components of traditional food systems, supporting nutrition, health, and livelihood resilience in food-insecure and climate-vulnerable regions. In eastern Ethiopia, particularly the Somali Region, communities rely on WEPs to supplement diets and cope with seasonal food shortages. However, comprehensive documentation of species diversity, indigenous knowledge, and conservation challenges remains limited. This study assessed the diversity, use patterns, indigenous knowledge, and public health relevance of WEPs in Gursum District.MethodsAn ethnobotanical survey was conducted from February to December 2024 using semi-structured interviews, focus group discussions, guided field walks, and market surveys. A total of 100 informants, including 25 key informants, were selected through purposive and snowball sampling. Plant specimens were collected and identified using standard taxonomic references, with voucher numbers assigned. Quantitative ethnobotanical indices and statistical analyses (ANOVA, regression) were applied to examine knowledge distribution across socio-demographic groups. Focus group discussions were audio-recorded, transcribed, and thematically analyzed to complement quantitative findings.ResultsForty-four WEP species, representing 30 genera and 17 families, were documented. Fruits (61%) and leafy vegetables (27%) were the most commonly consumed plant parts, while tubers and roots (12%) served as important famine foods. Women, elders, married individuals, and illiterate informants demonstrated significantly higher WEP knowledge (p < 0.05). WEPs contributed to dietary diversity, micronutrient intake, income generation, and resilience during food shortages. Major threats to their sustainability included overharvesting, land-use change, climate variability, and erosion of indigenous knowledge.ConclusionWEPs play a critical role in supporting nutrition, health, and food security in Gursum District. Integrating indigenous knowledge with conservation, nutrition, and public health strategies is essential to safeguard these resources and enhance community resilience in semi-arid regions.

ABSTRACT This study examines community resilience among displaced and non-displaced populations in the context of a prolonged war-related emergency. The primary objective was to compare levels of community resilience between these two groups and to explore whether the relationship between displacement status and community resilience changed over time. Data were collected using a repeated cross-sectional design at two time points: December 2023 (approximately two months after the onset of the war) and November 2024 (thirteen months into the conflict), from adults residing in a conflict-affected area in northern Israel. Each wave included a different sample drawn from the same population. As hypothesized, the findings indicate that community resilience was initially lower among individuals displaced from their homes compared to those who remained in place. However, this gap diminished over time, as the prolonged emergency conditions persisted. The study underscores the importance of context-sensitive and group-specific strategies for enhancing community resilience. By recognizing the distinct needs and trajectories of both displaced and non-displaced populations, policymakers and practitioners can develop more effective interventions to support communities in coping with collective trauma and rebuilding stronger, more cohesive social structures.

Health misinformation poses a significant public threat by eroding trust in scientific expertise and diminishing adherence to health guidelines, which collectively weaken community resilience to preventable diseases. For these reasons, detecting health misinformation is crucial to protect public health. However, manual detection requires substantial human effort and expertise, making it impractical at scale, particularly in low-resource settings where technological and linguistic resources are limited. Developing automated techniques for identifying false or misleading claims is therefore essential to ensure timely intervention. Advancing these automated detection methods depends on the development of robust datasets, as they enable more accurate modeling and adaptation for specific languages and contexts. To the best of the authors’ knowledge, no misinformation detection techniques or datasets have yet been developed specifically for the Estonian language within the health domain. Addressing this gap, the primary objective of this study is to develop a reliable system for generating ground truth labels for health misinformation in Estonian, thereby contributing to misinformation detection in low-resource settings. Leveraging pre-labeled datasets in English, the proposed Cross-lingual Alignment and Confident Prediction Sampling (CAPS) approach employs a hybrid two-phase methodology involving semantic similarity measurements, manual annotation, classification, and confidence sampling. This methodology enables the efficient generation of misinformation labels with minimal reliance on manual annotation, contributing a valuable resource for advancing misinformation detection in underrepresented languages. The resulting dataset of 8,795 annotated news articles represents a significant advancement in health misinformation detection for the Estonian language.

Kaolinite-mediated dual enhancement of tetracycline degradation and methane recovery in anaerobic digestion of contaminated sludge: Microbial community reshaping and metabolic pathway regulation.

This dramatized autobiographical narrative is based on the author’s family oral history and lived experience in San Isidro Labrador, Acapulco. It recounts the transformative week a teenage boy spends with his recently widowed grandmother. Initially reluctant, the boy gradually forms a profound emotional connection through his grandmother’s oral storytelling, which interweaves their family history with broader themes of ethno-racial ancestry, coastal urbanization, and socio-environmental vulnerability. The grandmother shares her migration from San Blas, Nayarit, her Afro-Indigenous partner’s past in Tecomate, Guerrero, and their journey of building a life through informal economies and community resilience. Her stories reveal the dramatic changes to the coastal landscape resulting from unregulated urban growth, the exposure of marginalized settlements to disaster risks, and the intergenerational impact of surviving hurricanes such as Pauline and Otis. Through this intimate intergenerational dialogue, memory becomes a living archive that preserves cultural identity while exposing the fragility and resilience of life on the socio-environmentally precarious urban periphery. San Isidro Labrador, located on the northwestern periphery of Acapulco, is a low-income settlement historically shaped by migration, informal land tenure, and vulnerability to flooding and landslides. Like many peripheral neighborhoods, it stands at the intersection of urban expansion and socio-environmental risk, where life unfolds between resilience and precarity.

Native stingless bees are vital to the ecological, social, and cultural fabric of Peruvian Amazonian communities. They are essential pollinators, supporting ecosystem regeneration, forest maintenance, local economy, and the biocultural heritage of indigenous peoples. However, these species face escalating threats primarily from deforestation, climate change, and the excessive and inappropriate use of pesticides. Building upon the recently approved Law No. 32235 on January 9, 2025, which officially recognizes stingless bees as native species of Peru, this brief calls for the implementation and expansion of their protection through a national Rights of Nature framework, which seeks to recognize the intrinsic value of stingless bees by protecting them within legal and biocultural systems. Coauthored with the Ashaninka community, it highlights how indigenous ecological knowledge complements scientific approaches and informs policy innovations that protect both biodiversity and culture. The case underscores the importance of integrating traditional knowledge into legal and governance systems to safeguard pollinators, ecosystems, and livelihoods across the Amazon. By engaging with this case, readers will understand how integrating science, indigenous leadership, and Rights of Nature principles can transform global environmental commitments into actionable conservation for the long-term resilience of stingless bees and Amazonian communities.

Purpose Rapid digital transformation following COVID-19 has increased the need for immersive tourism technologies. However, most prior studies focus on consumer adoption and overlook post-adoption and experiential factors among small and medium-sized enterprises (SMEs). Addressing this gap, the purpose of this study is to integrate the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), Flow Theory and Expectation-Confirmation Theory (ECT) into a unified Metaverse Adoption Continuance Framework to examine both adoption and continuance of metaverse tourism platforms among SMEs in Kuala Lumpur, Malaysia. Design/methodology/approach Data were collected from 388 SME owners and managers through structured surveys. Using partial least squares structural equation modelling, this study tested the mediating role of user experience and the moderating effects of technology-savviness and familiarity. Findings This study found that performance expectancy, effort expectancy, social influence, facilitating conditions, flow state, perceived enjoyment and presence positively influenced user experience, whereas privacy concerns had a negative effect. User experience significantly affects both behavioral intention and continued usage, which are strong predictors of adoption. Technology-savviness and familiarity moderate these relationships. Additionally, ethical and equity considerations, particularly privacy and digital inclusion, emerged as important contextual factors shaping SMEs’ adoption decisions. Research limitations/implications This study used a cross-sectional design, which limits the ability to see how perceptions and metaverse use change over time. Future research should adopt longitudinal methods to observe such changes. Because the data were self-reported, there is a possibility of bias, so future studies could include actual usage indicators. The focus on Kuala Lumpur tourism SMEs also limits generalization; comparing regions or cultures could improve validity. The Metaverse Adoption and Continuance Framework can be expanded by adding elements such as AI-based personalization and blockchain security. Qualitative studies can further explore emotional, social and ethical aspects of metaverse use. Practical implications This study provides useful insights for tourism SMEs, policymakers and technology developers. Tourism SMEs can enhance user experience by creating simple, engaging and affordable metaverse content such as guided virtual tours and browser-based virtual reality. Collaboration with universities and start-ups can reduce costs and promote innovation. Policymakers can support digital transformation through grants, training and improved broadband access. Ethical practices, including transparent data protection and inclusive design, are vital to build user trust and social equity. Balancing immersive engagement with privacy safeguards ensures sustainable adoption and wider community benefits. Social implications This study highlights the potential of metaverse technologies to enhance digital inclusion and innovation among tourism SMEs, particularly in developing economies. By promoting immersive virtual tourism, SMEs can reach broader and more diverse audiences, including individuals with mobility limitations. The findings of this study emphasize the need for digital literacy and privacy awareness to encourage socially responsible technology adoption. Moreover, supporting SMEs in this digital transition can generate employment opportunities in VR content development, digital training and related services, contributing to inclusive economic growth and stronger community resilience in the post-pandemic tourism landscape. Originality/value This study refines existing hybrid adoption continuance models by benchmarking against prior frameworks and contextualizing them for Malaysian tourism SMEs. This study contributes theoretically by integrating experiential and post-adoption constructs and practically by offering actionable insights into SME digital readiness, ethical data governance and sustainable metaverse implementation.

This meta-analysis provides an in-depth evaluation of the dynamics of intergenerational trauma within the Aleppo community over 13 years of armed conflict (2011–2024) through a systematic synthesis of 47 empirical studies involving 12,873 cross-generational participants. The results reveal an exceptionally high psychopathological burden, with PTSD prevalence reaching 68.4% (95% CI = 65.2–71.6) in the first generation and 42.3% (95% CI = 39.1–45.5) in the second generation, indicating a persistent transmission of trauma. Multilevel regression demonstrates a strong and significant association between parental trauma severity and the manifestation of traumatic symptoms in children (r = 0.62, p &lt; .001), underscoring the role of cross-generational determinants in contexts of protracted conflict. Major depressive disorder is identified in 55.7% of parents and 37.2% of children, while anxiety prevalence reaches 61.3% in the first generation and 44.8% in the second generation. Structural equation modeling reveals three principal pathways of trauma transmission, namely maladaptive parenting patterns dysfunctional family communication, and anxiety modeling processes. These findings extend beyond the analyses of Amping et al. (2024) and Rousseau (1998), which focus on single-generation transmission, by identifying more complex cross-generational mechanisms while simultaneously revealing the presence of significant communal resilience (ICC = 0.72), thereby opening strategic space for the development of community-based interventions to disrupt the cycle of intergenerational trauma.