Resilience Analysis Research Articles

Learning agility, self-efficacy, and resilience as pathways to mental health in higher education: insights from a mixed-methods study

IntroductionThis study examines how learning agility, academic self-efficacy, academic buoyancy, and psychological well-being interrelate to influence mental health and factors theoretically linked to academic success in undergraduate students.MethodsUsing an explanatory sequential mixed-methods design, quantitative data were gathered from 804 undergraduates using validated scales for each construct. Structural Equation Modeling (SEM) tested hypothesized relationships, and multi-group analysis explored gender differences in the model. In a qualitative phase, semi-structured interviews with 30 participants provided deeper insights into the quantitative findings, with thematic analysis of adaptive learning, resilience, and well-being.ResultsSEM findings showed that learning agility and academic self-efficacy positively predicted academic buoyancy and psychological well-being, with academic buoyancy partially mediating these relationships. Gender differences were non-significant, supporting model generalizability across genders. Qualitative analysis emphasized adaptive learning strategies, resilience in overcoming academic stressors, and psychological well-being as a process, with social support identified as essential in fostering resilience.DiscussionThe findings underscore the importance of learning agility, self-efficacy, and academic buoyancy in supporting students’ academic resilience and mental health. By enhancing these factors within academic settings, institutions can promote student well-being and engagement, reinforcing the link between psychological well-being and academic achievement.

Teacher’s Emotional Toll toward the Shifts in Instructional Settings: A Descriptive Analysis of Emotional Labor, Resilience, and Burnout

This research explores the relationships among emotional labor, job burnout, and resilience among teachers, particularly during the shifts in educational setting. Emotional labor, defined as the management of emotions to meet societal expectations, can exacerbate stress and burnout as educators transition to remote learning and increased workloads. The study examined how demographic factors influence emotional labor experiences and assesses resilience and burnout levels among teachers from 18 elementary schools. Utilizing a cross-sectional survey design, validated instruments measured emotional labor strategies, resilience, and burnout prevalence. Findings indicate a predominantly female respondent pool, with many teachers aged 31-40 and primarily teaching at the primary level. Teachers favor deep acting and authentic emotional expression over surface acting. While personal burnout is moderate, work-related burnout remains lower, suggesting manageable interactions with students and parents. Resilience levels are generally positive, bolstered by purpose and self-discipline; however, challenges persist. Emotional labor correlates positively with burnout across all dimensions, indicating that heightened emotional demands increase burnout risk. The results provided insights into the unique challenges faced by educators and inform targeted interventions to enhance their well-being in an evolving educational landscape.

Spatial evolution and resilience analysis of marine eco-environmental protection enterprises.

Spatial evolution and resilience analysis of marine eco-environmental protection enterprises.

Integrating Risk Management into Territorial Planning: An Approach to Community Resilience

The article Integrating Risk Management into Territorial Planning: An Approach to Community Resilience analyses how to incorporate risk management into the design and implementation of territorial planning policies to strengthen community resilience to natural disasters and adverse events. Using a multidisciplinary approach, the study highlights the need to integrate risk analysis tools, cartography and citizen participation in planning processes. The main gaps in the regulatory and operational frameworks for territorial planning in Latin America were identified, highlighting the lack of inter-institutional coordination and limited access to geospatial data. The article proposes a theoretical-practical model that combines vulnerability assessment, adaptive management and the implementation of early warning systems. In addition, the importance of fostering a culture of prevention in local communities is emphasized, incorporating their ancestral knowledge and promoting inclusive strategies. The results of the study show that an effective integration of risk management not only reduces exposure to threats, but also contributes to sustainable development and social cohesion.

Challenges in Formal Analysis of Resilience: Capturing the Tradeoff Between the Chance of Failure and the Cost of Success

Abstract There is growing interest in the concept of Resilience and balancing resources spent on increasing resilience at the expense of efficiency. From a logical perspective we are interested in formally representing key features of resilience, design principles supporting resilience, and methods to verify system resilience given a formal (in some logic) representation. As background and motivation we review notions of resilience in the context of a variety of systems–digital, natural, societal–along with some examples. We identify some key features of resilience and discuss challenges in developing formal models. After a review of commonly used modeling formalisms and verification problems, we propose an extension that allows modeling resilience features and expressing associated verification problems. We further connect resilience with chance and money by comparing resilience features to principles expressed by the Zurich axioms.

A systematic literature-based analysis of resilience in the context of natural hazards using competitive technology intelligence

Abstract The constant growth rate of research publications related to disaster prevention, response and resilience, however beneficial to society, has become a challenge to those working on this topic and looking for identifying the strengths, weaknesses and opportunity areas for the continuous improvement of the state of the art. This situation motivated a literature-based analysis of natural hazard and resilience using the tools of competitive technology intelligence (CTI) and artificial intelligence (AI) combined to develop charts and network maps for an efficient visualization of the current state of natural hazard and resilience research, as well as the interconnections between the different scholars and research entities, which in turn helps identifying the scientific-technological capacities of research groups, the human capital involved and potential areas of opportunity for further research. The benefits of this type of analysis may only be guaranteed if the proposed analysis of information procedure is continuously carried out, using the computational tools developed in this paper which include those of the CTI and the algorithms of multi-label machine learning designed to categorize upcoming research papers in accordance with relevant keywords into diverse predefined labels. The results of the investigation showed that a large proportion of current research on natural hazard and the resilience of affected infrastructure is carried out by researchers in China, the USA and New Zealand, and that the main focus of the published research results on this problem is on the characterization and quantification of the hazards, the physical, economic and social vulnerabilities and resilience.

A Concept Analysis of Resilience Using Roy's Adaptation Model.

Describing resilience as a concept builds upon adaptive knowledge, inspiring further nursing research. A thematic integrative literature review using "resilience" as the keyword was conducted spanning nursing, psychology, and social work using EBSCOHost, CINAHL, Cochrane, Medline, and PsychINFO. The Roy adaptation model served as the nursing theoretical perspective for this inquiry. The Walker and Avant method was used and served to further the inquiry into what resilience means. Three attributes emerged from the review of literature and included (a) effective coping, (b) balanced response to hardship, and (c) rebound from threatening stimuli. Several quantitative scales that exist to measure resilience helped to shape its description in the context of nursing, including the 25-Item Resilience Scale. Further exploration is needed to operationalize resilience as a concept so that it may be understood as a phenomenon to build upon the existing nursing knowledge within the discipline.

Protective Factors Against Hypertension: A Retrospective Population-Based Analysis of Resilience in High-Risk Groups

Protective Factors Against Hypertension: A Retrospective Population-Based Analysis of Resilience in High-Risk Groups

Women in Surgery: An Analysis of Mental Health, Stress Perception and Resilience

Abstract Purpose Although the representation of women in surgical fields is increasing, challenges such as gender bias, demanding work conditions, and balancing career with personal responsibilities persist. This study aims to investigate the stressors affecting female surgeons, assess their impact, and explore the resilience strategies employed to mitigate these effects. Methodology A literature review was conducted using PubMed to identify peer-reviewed articles on mental health, stress perception, and coping among female surgeons. From the initial search, 49 articles were identified, with additional studies manually added from the references of reviewed literature. Results The review highlighted key stressors for female surgeons, including workplace culture, gender bias, and sexual harassment. Resilience-building strategies, such as mindfulness and institutional support, were found to positively impact mental health and stress management. Female surgeons face unique stressors stemming from the demands of the profession, systemic gender biases, and entrenched cultural norms, leading to significant mental health challenges such as burnout and anxiety. While personal coping mechanisms, like mindfulness, show some efficacy in mitigating these issues, institutional-level challenges remain largely unaddressed. Gendered expectations and exclusionary workplace cultures continue to hinder progress, underscoring the need for structural reforms to improve the professional environment and promote the well-being of female surgeons. Conclusion While resilience strategies offer some relief, substantial policy reform and a shift in workplace culture are crucial to creating a more supportive and equitable environment for women in surgery.

Strategic resilience: linking social control to product innovation performance in startups

PurposeThis study analyzes the mediating effects of strategic resilience on the relationship between social control and product innovation performance in startups. Grounded in dynamic capability theory, the research posits that startups must embed resilience in their strategies to optimize processes and resources amid market changes, with social control influencing innovation performance.Design/methodology/approachStructural equation modeling was applied to the data collected in a survey with 129 managers of Brazilian startups in the traction phase of their life cycle.FindingsThe results reveal that strategic resilience, through its dimensions of proactive behaviors and improvisational agility, is fostered by social control and contributes to improved product innovation performance. A possible mediating effect is observed in improvisational agility, contrasting with proactive behaviors, in the relationship between social control and product innovation performance.Research limitations/implicationsThe multilevel analysis of strategic resilience has important implications, revealing that proactive behaviors do not show a mediating effect, while improvisational agility does, highlighting the relevance of social and organizational elements in promoting innovation within startups.Originality/valueThe study advances understanding the role of strategic resilience in the relationship between social control and innovation performance in startups. It addresses a gap in the literature by exploring how the two core dimensions of strategic resilience connect these two research domains. Gaining insight into the importance of startups’ proactive behaviors and improvisational agility in uncertain and dynamic environments can provide valuable guidance for developing strategic resilience in the face of adversity.

Improving an integrative framework of health system resilience and climate change: Lessons from Bangladesh and Haiti

The analysis of health system resilience has advanced considerably, yet a wide range of conceptual frameworks continues to be employed. The ClimHB conceptual framework, developed in 2019, combines two influential models: the Levesque model of healthcare access and the DFID’s resilience framework. It is designed to examine health system resilience in response to climate-induced events. What sets the ClimHB framework apart is its emphasis on the population as an active participant on the demand side, complementing the supply side represented by healthcare services and providers. The framework is defined by three key dimensions – exposure, sensitivity, adaptive capacity. Its dual focus on demand and supply highlights their dynamic interaction in shaping health system resilience. A workshop and the World Café method refined the ClimHB framework by incorporating empirical data from Haiti and Bangladesh with findings from a literature review. The updated framework offers a dynamic perspective on resilience, focusing on the interconnected nature of its elements to guide decision-making across all levels of health systems. Key enhancements include greater emphasis on contextual factors, highlighting the influence of socio-economic and ecological conditions. It also features strengthened connections between resilience outcomes and contextual variables, improving the understanding of how context affects results. Governance and professional awareness were highlighted as critical elements for improving health system responses, and feedback loops were integrated in the supply side to enhance adaptability and decision-making processes. Empirical studies have demonstrated the ClimHB framework’s adaptability and capacity to create synergy between theoretical concepts and practical implementation. However, challenges remain in operationalising the framework for policymakers. These challenges highlight the need for further validation of the framework, the development of standardised measures, and a deeper understanding of resilience dynamics. Future research should prioritise the framework’s implications for structural management, workforce training, and resource allocation, addressing critical gaps in resilience research.

Polygenic Mediation Analysis of Psychological Resilience and Outcomes in Taiwanese Young Adults

Polygenic risk scores (PRSs) for psychiatric phenotypes correlate with state psychological outcomes, with resilience mediating this relationship, suggesting that genetic predisposition may increase mental health risk via lower resilience. Using national genome-wide data from Taiwan Biobank (TWB), we built PRS for psychiatric diagnosis (PD), major depressive disorder (MDD), bipolar disorder (BD), obsessive-compulsive disorder (OCD), and schizophrenia (SCZ) based on single-nucleotide polymorphisms (SNPs) associated with psychiatric phenotypes. To test our hypothesis, we conducted polygenic mediation models in a locally recruited cohort of young adults (N = 159, mean age = 23.0), applying False Discovery Rate (FDR) correction. Resilience (mediator) measures included the Connor-Davidson Resilience Scale (CD-RISC) and the Resilience Scale for Adults (RSA). Psychological outcomes were assessed with the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI). Mediation analysis showed that resilience significantly mediated the relationship between PRS-PD and BAI, where the indirect effects via CD-RISC was 0.47 (95% CI [confidence interval]: 0.04–0.97; p = 0.036) and via RSA was 0.51 (95% CI: 0.09–1.09; p = 0.020). PRS-MDD and BAI, with indirect effects via CD-RISC (1.96 [95% CI: 0.47–4.22]; p = 0.033) and RSA (0.33 [95% CI: 0.03–2.93]; p = 0.048). PRS-OCD and BAI were mediated via RSA (0.09 [95% CI: 0.02–0.18]; p = 0.009). We also found significant mediation effects via RSA for PRS-SCZ and BAI (0.69 [95% CI: 0.10–1.44]; p = 0.024) and PRS-SCZ and BDI (1.16 [95% CI: 0.01–0.33]; p = 0.042), but not after FDR correction. These findings highlight that resilience mitigates the genetic predisposition to depression and anxiety, emphasizing the importance of interventions to enhance resilience in individuals predisposed to psychiatric phenotypes.

Changes in Road Centrality and Hospital Access Redundancy: Impacts of the 2024 Flood in the Metropolitan Core of Porto Alegre, Brazil

Abstract. In view of climate change driving extreme events such as floods, assessing urban infrastructure resilience is critical for disaster response and urban planning. We investigated how flooding in Rio Grande do Sul affected road network connectivity and urban resilience in terms of lack of redundancy to healthcare facilities. We performed centrality analysis using the edge betweenness indicator to identify urban arteries critical for connectivity at metropolitan and intracity scales and compared alternative routes to assess healthcare facilities resilience. Understanding how floods disrupt road connectivity and mobility is critical for identifying vulnerable areas and improving disaster response planning. The results revealed that just 71 km—or 2% of the total analysed network—accounted for 12% of core-metropolitan connectivity prior to the floods. These high-centrality urban arteries, including the BR-290 Freeway, were disproportionately affected: they lost approximately 92% of their total centrality after the flooding. Overall, the road network experienced a 59% reduction in betweenness centrality at the core metropolitan scale. At the municipal level, impacts varied. For example, Canoas experienced a 59% loss in intracity connectivity, while Nova Santa lost only 14%, despite a larger flooded area (113 km2 versus 65 km2). Regarding the analysis of urban resilience to access healthcare facilities, the results revealed higher deficits in peripheral hospitals, such as Hospital Restinga e Extremo Sul, indicating a lower resilience. These results indicate the importance of multi-scale analyses to reveal spatial disparities and inform disaster risk management. This study provides actionable insights to support decision-makers in improving emergency responses and strengthening infrastructure resilience to future climate-related disasters.

Dynamically measuring, analyzing and forecasting sentiment resilience in online communities

The sentiment resilience in online communities is an emerging and increasingly important concept. However, current methods for measuring sentiment resilience fail to account for the dynamic characteristics of resilience changes and are also unable to consider the overall context of the community. To fill these gaps, we propose the Dynamic Resilience Index (DRI) model based on existing studies, combining resilience theory, catastrophe theory and Hidden Markov Model. Through experiments and analyses on case data, we test the method and make interesting findings. Firstly, we find the optimal quantity of resilience state and observation sequence length, and calculate DRI with the lowest perplexity. Secondly, we analyze the relationship between DRI and the locations and commenting time of netizens, and reveal the dynamic change mechanism of DRI. Thirdly, we forecast DRI in a dynamic and complex community environment and reveal how the length of the time window influences forecasting performance. Our research has made significant methodological and theoretical contributions to the field of sentiment resilience analysis, while also providing practical implications for online community regulation.

Analysis of Socio-Cultural and Religious Resilience in Sumbawa Regency

This study aims to determine the socio-cultural and religious resilience index in Sumbawa Regency through social, cultural, and religious life indicators, as well as to determine the role of key stakeholders in facilitating the realization of this resilience. The design is a mixture of quantitative and qualitative research. Quantitative research includes data collection through a public perception questionnaire about the resilience indicators. Qualitative research includes the use of documentation, informal interviews and observations to explore the roles of key stakeholders in facilitating the realization of resilience in the regency. The study results show that the social, cultural, and religious resilience index in Sumbawa Regency recorded a score of 80.1 (high), indicating good and controlled conditions. The two dimensions with a very high category are religious tolerance (84.1) and equality in religion (83.1), while the others are in the high category, namely the social dimension (76.1), culture (78.5), and cooperation between religious communities (78.6). They indicate that all dimensions of resilience have room to improve to achieve optimal scores. The key stakeholders are vital in realizing socio-cultural and religious resilience in Sumbawa Regency. The collaboration and involvement of various group representatives in implementing activities contribute to realizing resilience in a pluralistic society in Sumbawa Regency.

Nonlinear Interactions and Dynamic Analysis of Ecosystem Resilience and Human Activities in China’s Potential Urban Agglomerations

Understanding the nonlinear relationship between human activity intensity (HAI) and ecosystem resilience (ER) is crucial for sustainability, yet underdeveloped areas are often overlooked. This study examines the Xuzhou Urban Agglomeration (XZUA) from 2012 to 2022, creating a framework to assess both ER and HAI. Both frameworks utilize multi-source datasets, such as remote sensing, statistical yearbooks, and geospatial data. The ER framework uniquely combines dynamic and static indicators, while the HAI framework differentiates explicit and implicit human activity dimensions. We used spatial analysis, the Optimal Parameter Geodetector (OPGD), and Multi-Scale Geographically Weighted Regression (MGWR) to examine the nonlinear spatiotemporal interaction between HAI and ER. Results show the following: (1) ER exhibited a “shock-recovery” pattern with a net decline of 3.202%, while HAI followed a nonlinear “rise-fall” trend with a net decrease of 0.800%. (2) Spatial mismatches between HAI and ER intensified over time. (3) The negative correlation in high-HAI regions remained stable, whereas neighboring low-HAI areas deteriorated, indicating a spillover effect. (4) OPGD identified the change in HAI (Sen’s slope) as the primary driver of ER change (q = 0.512), with the strongest interaction observed between HAI Sen’s slope and precipitation (q = 0.802). (5) Compared to HAI intensity (mean), its temporal variation had a more spatially stable influence on ER. These findings offer insights for ecological management and sustainable planning in underdeveloped regions, highlighting the need for targeted HAI and ER interventions.

AI-driven resilience analysis of distribution networks under extreme events

AI-driven resilience analysis of distribution networks under extreme events

Resistance Economies: An Analysis of Resilience against US Sanctions on Iran and Cuba

Powerful nations like the United States typically use economic sanctions as tools of coercion, but in some cases, sanctions backfire by empowering the very states they aim to weaken. This article explores the paradoxical effects of sanctions on Iran and Cuba, revealing how these measures inadvertently produce resistance economies by strengthening domestic potentials, inspiring national unity and resistance, and driving diplomatic realignment. Sanctions compel targeted states to adapt – to catalyze innovation and resilience and transform external pressure into opportunities for growth and autonomy. For instance, Iran’s pharmaceutical and home appliance production sectors have achieved near self-sufficiency, while Cuba’s healthcare and agricultural systems have become global models of resilience. These cases demonstrate that sanctions, far from isolating targeted states, often strengthen their resolve and capacity to resist external pressure. This study challenges the conventional view of sanctions as straightforward tools of coercion yielding significant humanitarian costs, an analytical and narrative framing that upholds Eurocentrism and imperial dominance. Through empirical analysis of sanctions policy and its effects, the article exposes the unintentional positive outcomes they produce, including economic diversification and resistance, national unity and anti-imperialist sentiments, and diplomatic realignment through formations of new alliances.

Global spillover persistence and market resilience during uncertainty

PurposeThis study explores the persistence of stock market spillovers and the speed of recovery from global financial market uncertainty across different economic cycles.Design/methodology/approachWe analyse daily stock data from 15 countries spanning 2002 to 2024, covering the Dot-com bubble, the 2008 Global Financial Crisis and the COVID-19 pandemic. A vector autoregression (VAR) model is employed to examine the dynamics of spillover transmission and the resilience of markets across developed, emerging and developing economies.FindingsDuring the Dot-com recovery, global markets showed moderate interdependence, with the US, UK and Switzerland exerting the largest spillover effects. The 2008 financial crisis significantly increased interconnectedness, with Mexico and other emerging markets showing high contagion, while developed markets remained key transmitters. During COVID-19, markets became increasingly sensitive to global shocks. Notably, countries like Thailand, Japan and Brazil began to exhibit stronger spillover influence, while Russia showed quicker recovery. In the post-pandemic recovery, overall resilience improved, with faster absorption of shocks and stronger internal stability. However, the US, UK and Switzerland remained primary spillover sources throughout all periods.Practical implicationsFindings underscore the need to strengthen economic resilience, especially in vulnerable emerging and developing economies.Originality/valueThis study adds depth to the literature by offering a comparative analysis of spillover persistence and resilience across various market types under changing economic conditions. It provides evidence of evolving spillover dynamics and highlights the growing importance of emerging markets in global volatility transmission.

Comparative analysis of water-use behavior and drought resilience in selected tropical sorghum (Sorghum bicolor L.) cultivars

Comparative analysis of water-use behavior and drought resilience in selected tropical sorghum (Sorghum bicolor L.) cultivars