Model Of Resilience Research Articles

Model of Creative Economy Supply Chain Resilience to Improve SME Sales

Model of Creative Economy Supply Chain Resilience to Improve SME Sales

A data-driven framework for enhancing coastal flood resilience in resource-crunched developing nations

A comprehensive Flood Resilient Scenario Model ‘FReSMo’ employs a data-driven, evidence-based approach for assessing climate-induced flood risk and validating the efficacy of mangroves (as context-specific adaptation measure) in reducing residential building damage. Based on an improvised Source-Pathway-Receptor-Consequence-Evidence concept, FReSMo employs a three-step analysis. First, hazard mapping estimates coastal flood extents for various return period under different Shared Socioeconomic Pathways. Second, the model maps the exposure of residential buildings to these flood extents by projecting built-up area for 2050 using the FUTURES model, based on physiographic, socio-demographic, and economic parameters. Finally, a data-driven probabilistic damage model is applied to estimate the built-up area damage for a 100-year coastal flood event (SSP-2.6). The pre-and post-adaptation damage estimate demonstrates the efficacity of NBS (mangroves) in reducing coastal flood risk. A 100 m mangrove patch on the Sagar coastline reduced the building damage cost by 70% for a 48-hr and 75% for a 24-hr flood. Considering a plantation cost for 6.2 km2, the total benefit, despite persistent losses, was a 222% return on investment. FReSMo transcends conventional risk assessment frameworks by offering a comprehensive approach for evaluating the cost-effectiveness of adaptation investments in developing countries, making it an invaluable tool in the face of climate change.

Sustainability Reporting and Earnings per Share of Listed Industrial Goods Firms in Nigeria

This study investigated the effect of sustainability reporting on earnings per share of listed industrial goods firms in Nigeria. The specific objectives were to determine the influence of environmental sustainability disclosures on earnings per share of listed industrial goods firms in Nigeria; examine the effect of economic sustainability disclosures on earnings per share of listed industrial goods firms in Nigeria, and evaluate the influence of social sustainability disclosures on earnings per share of listed industrial goods firms in Nigeria. The study adopted an ex-post facto research design and utilized panel data of one hundred and twenty (120) pooled observations gathered across a sample of twelve (12) listed industrial goods firms in Nigeria over ten (10) years (2013-2022). The study employed descriptive and inferential (correlation and panel data Generalized Method of Moments) techniques to analyse the data collected via Eviews 10.0 statistical package. The study findings revealed that environmental sustainability disclosure (Coeff. = -102.0933{0.0000}) has an insignificant negative effect on earnings per share of listed industrial goods firms in Nigeria, while economic sustainability disclosure (Coeff. = -6.5026{0.0000) has a significant negative effect on earnings per share of listed industrial goods firms in Nigeria and social sustainability disclosure (Coeff. = 29.72095{0.0000}) has a significant positive effect on earnings per share of listed industrial goods firms in Nigeria. Given these, it was thus concluded that sustainability reporting has a significant effect on earnings per share of listed industrial goods firms in Nigeria at a 5% significance level. The study recommended, amongst others, that firms should strengthen social sustainability efforts by prioritizing ethical business practices, fostering strong relationships with stakeholders, and actively engaging in socially responsible initiatives to not only improve earnings per share but also build a sustainable and resilient business model.

Emotional competences as predictors of psychological wellbeing and quality of life of supplementary grandparents caregivers.

Grandparents are increasingly becoming key figures in the supplementary care of grandchildren. Based on the Resilience Model of Family Stress, Adjustment and Adaptation, the present study aims to analyze the emotional competences that canpl predict higher levels of psychological wellbeing and quality of life in supplementary grandparents caregivers. A sample of 270 supplementary grandparents caregivers living in Spain participated. Most participants were women (71.1%), and the mean age was 67.83 years (SD = 6.26). Most participants were occasional caregivers, that is, they care for less than 10 h per week (76.3%). We conducted hierarchical multiple regression analysis, one for psychological wellbeing and the other for quality of life. The regression model for psychological wellbeing identified that age, management of caregiving stress, self-confidence in the caregiving role, management of work-life balance difficulties and emotional self-regulation explained 32.8% of its variance. The regression model for quality of life showed that age, type of grandparent caregiver, management of caregiving stress, management of work-life balance difficulties and emotional self-regulation explained 31.2% of its variance. This study focuses on supplementary grandparents caregivers, whereas literature has tended to look at primary grandparents caregivers. The results highlight the role of emotional competences as predictors of supplementary grandparents caregivers' psychological wellbeing and quality of life, overcoming the usual tendency in the literature to focus on the negative consequences of grandparents caregiving for grandchildren, and emphasizing the competences that grandparents have to cope with this care in a satisfactory way, which, moreover, can be trained.

Resilient robust model predictive load frequency control for smart grids with air conditioning loads

AbstractThis paper investigates the robust model predictive load frequency control problem for smart grids with wind power under cyber attacks. To accommodate intermittent power generation, the demand response of the system is considered by involving the air conditioning loads in the frequency regulation. In addition, the system uncertainties produced by the air conditioning load users and wind turbines when replacing traditional generator sets are considered. By using the cone complementary linearization algorithm and the linear matrix inequality technique, a resilience robust model predictive control strategy with mixed performance indexes is proposed. Furthermore, a rigorous derivation of the recursive feasibility of robust model predictive control is given. Finally, the simulation results of the two‐area load frequency control scheme show that the proposed model predictive control strategy is capable of realizing the load frequency control of the multi‐area smart grid and is robust to the parameter uncertainties and frequency regulation of the system. The results also show that the proposed model predictive control strategy has some resistance to cyber attacks and external disturbances.

Sex Behavior Self-Efficacy Among Women Experiencing Intimate Partner Violence

This study examined how mental health and intimate partner violence (IPV) relate to women’s beliefs about their ability to communicate with partners about sexual history and risk (i.e., sex behavior self-efficacy). Participants were composed of 148 women (Mage= 34.6; 69% non-Hispanic Black; 74% income <$20,000/year) recruited from community organizations in the US Mid-South. A hierarchical linear regression was used to examine associations among sex behavior self-efficacy and depressive symptoms, resilience (Model 1) and physical IPV, psychological IPV, sexual IPV, negotiation, and IPV perpetration (Model 2). The final model was significant with variability in sex behavior self-efficacy explained by depressive symptoms, partner negotiation frequency, and IPV perpetration. Findings highlight novel areas to consider when assessing barriers and facilitators of partner communication and when developing culturally responsive interventions for women experiencing relationship-based adversity.

South Sudanese Refugee Higher Education Access in Uganda: An Intersectionality Enquiry

This study was guided by the intersectionality theory, originally developed by Kimberlé Crenshaw. According to Crenshaw, the theory assumes that people have multiple biological, social and cultural identity markers that intersect, resulting in experiences of privilege or disadvantage, inclusion or discrimination. However, the theory maintains that marginalized individuals are not homogeneous and they experience discrimination and inclusion in different ways. The intersectionality theory also recognizes power dynamics and how structural, political and representational domains, intersect and produce complex patterns of discrimination, inequality and disadvantage. Ultimately, the intersectionality theory asserts that effective activism and social change require recognizing and addressing the intersections of various forms of oppression, and advocating for justice across multiple fronts. This exposes discrimination and exclusion that would have otherwise gone unnoticed, also giving voice to the disadvantaged and excluded. The study adopted a qualitative approach, an exploratory case study design, and an advocacy/ participatory philosophical lens. Twenty-seven purposively sampled participants took part in the study. They included 12 undergraduates from two private Ugandan universities, 13 government and non-governmental organization (NGO) officials, two officials from public and private universities, all involved in refugee higher education. Data was collected through a literature review, in-depth interviews with key informants and students, and a students’ focus group discussion. The study established that higher education access for South Sudanese refugees in Uganda involves multiple intersectional prohibitive and also supportive factors. The study therefore recommends that through situational analysis and needs assessment, Uganda develops clear objectives, activities and outcomes in the Education Response Plan, to establish the divergent supportive and prohibitive factors and cater for the various refugee student needs. The study also designed the refugee access and resilience (RARE) model to assist in the aforementioned regard

Physical activity and social anxiety symptoms among Chinese college students: a serial mediation model of psychological resilience and sleep problems

BackgroundSocial anxiety symptoms are common and harmful psychological illness in college students. Although some studies have illustrated that physical activity could reduce social anxiety symptoms, the specific mechanism is still unclear. Based on theoretical studies on resilience and sleep, this study constructed a serial mediation model to explore whether they mediate between physical activity and social anxiety symptoms among college students.MethodsThis study surveyed 9,530 college students from three colleges in China to explore the mediating effect of physical activity and sleep problems between physical activity and social anxiety symptoms. Participants were investigated with the International Physical Activity Questionnaire, Connor-Davidson Resilience Scale, Sleep-related problems, and the Social Interaction Anxiety Scale and the Social Phobia Scale. Correlations between variables were analysed using Pearson correlation analysis and mediation analyses were performed using SPSS PROCESS macro 3.3 software.ResultThe study found that physical activity was negatively associated with social anxiety symptoms and sleep problems, but positively with psychological resilience. After controlling for sociodemographic variables, physical activity can not only indirectly alleviate social anxiety symptoms through the separate mediation of psychological resilience and sleep problems, but also through the serial mediation of psychological resilience and sleep problems.ConclusionThese results suggest that improving physical activity levels could reduce social anxiety scores by increasing psychological resilience and sleep quality. This is of great reference significance for the prevention and intervention of college students’ mental health.

A resilient disaster recovery model for Puerto Rico: a qualitative case study

ABSTRACT Environmental disruptions cause various damages to cities and communities. Many Puerto Ricans have endured catastrophes, suffered the loss of friends and family, resided in temporary shelters, and have been uncertain when they could return home. Thus, this study aims to understand the factors that help Puerto Rican communities better respond to and recover from shocks. Through a multiple-case-study design, the study analyses four Puerto Rican communities to identify the indicators that most significantly contribute to resilient disaster recovery. Data is collected via in-person interviews and analysed via qualitative inductive coding. The study results emphasise the role of internal – social cohesion, community engagement, and local leadership – and external factors – political vulnerability, available resources, social participation in preparation planning, and sustainable development – in resilient disaster recovery. This research deepens our comprehension of the critical factors that shape resilient disaster recovery efforts within Puerto Rican communities. It also aids communities in enhancing their preparedness, coping mechanisms, and adaptation strategies and offers guidance for urban planners and policymakers to concentrate on the internal and external factors that bolster the adaptive capabilities and resilience of communities in Puerto Rico.

Psychosocial Determinants of Healthy Ageing in Cameroon: Implications for Developing a Model for Resilience in Late Adulthood

Psychosocial Determinants of Healthy Ageing in Cameroon: Implications for Developing a Model for Resilience in Late Adulthood

Impact of power outages depends on who loses it: Equity-informed grid resilience planning via stochastic optimization

This research presents a novel approach for enhancing power grid resilience with a focus on social equity in light of increasing natural disasters. Utilizing a two-stage stochastic optimization model for flood mitigation investments, we optimize substation hardening and power flow decisions to minimize the weighted combination of expected load shed and expected equity metric. Our method uniquely approximates community power outages stemming from transmission grid disruptions, sidestepping the complexities of the distribution grid, and it incorporates two equity metrics (affected population and duration of loss) to address the uneven postdisaster well-being loss across communities. Our approach’s novelty lies in integrating this equity-informed resilience model with realistic flood scenario generation and utilizing a large-scale synthetic but a realistic power grid of Texas. The findings highlight the importance of the composite objective function in altering power flow decisions to prioritize electricity provision and save communities in disadvantaged areas even without investing in substation hardening. The results also quantify the equity and load shed benefits of substation hardening as a function of the investment budget with a parameterized analysis. With an attention to equity, power outages increase in nonvulnerable communities — a trade-off made to mitigate well-being loss in the most vulnerable areas. We further explore a justice model inspired by the government’s Justice40 initiative but find it less effective than our equity-informed models at preventing well-being loss. Our research, enriched by a comprehensive sensitivity analysis, offers valuable insights for policymakers, grid operators, and utilities aiming for a more resilient and equitable power grid.

Sex-specific compensatory model of suicidal ideation: a population-based study (Urban HEART-2)

IntroductionSuicidal ideations (SI), also known as suicidal thoughts, refer to impulses, desires, and obsessions related to death. Prevalence of suicidal ideation was 14 percent. The current study assumed that identifying the true predictors of SI would allow for a greater understanding of suicide risk.MethodsIn this cross-sectional population-based study, 17,644 residents aged from 15 to 90 years were selected through a multi-stage sampling method from 22 districts of Tehran. Using hypothesized causal models, the pathways through which various variables influenced the components of SI were identified. Also, the applicability of the compensatory and risk-protective models of resiliency for the prediction of SI was tested by using the interaction multiple regression analyses.ResultsSI was experienced by 13.44% of the study population. SI was more prevalent with individuals between the ages of 15 to 24. There are no differences between men and women when covariate analysis is used. The significant predictions by anxiety and physical activity (moderate) indicate support for the compensatory model for male and female, while the significant prediction by those indicates support for the risk-protective model for females.ConclusionPA would both lessen the detrimental impact of anxiety on suicidal thoughts and potentially reduce the probability of SI. It's important to develop and evaluate PA-enhancing treatments, especially for woman who are experiencing anxiety.

Resilience in Action through Culture: Latinas Successfully Navigating STEM Spaces at an HSI

Though research on the perspectives and assets of communities of color in higher education has grown, understanding how underrepresented groups in STEM use those assets to navigate and succeed in STEM fields is still in progress. In this study, Latina students majoring in STEM fields in a Hispanic-Serving Institution (HSI) were interviewed about their college experience and persistence. A Latine resilience model and an HSI servingness framework guided the analysis. Qualitative methodology via case study served to understand this research. Evidence gathered in this study demonstrates how social climate experiences and cultural background influence resilience and success strategies among diverse Latina STEM majors in an HSI. The STEM social climate or culture seemingly clashed with participants’ cultural backgrounds. Perhaps most pertinent to their cultural background and resilience as Latinas were the specific success strategies or assets that participants utilized to navigate the STEM experience. Participants gravitated to diverse spaces, desired more women and ethnic representation in their STEM departments, and practiced prosocial or communal motivations. Understanding STEM culture in conjunction with the assets and strategies that Latinas utilize as ethnic women is important for HSIs as they consider how they truly serve their constituents.

Family resilience experiences of individuals with schizophrenia-family caregivers dyads: Qualitative study.

INTRODUCTION: Family resilience is one of the important concepts that should be addressed in chronic mental illnesses. This study was aimed at investigating family resilience experiences from the perspective of individuals diagnosed with schizophrenia-family caregiver dyads. The study was conducted in the Adult Psychiatry inpatient and outpatient unit of a university hospital in a province in western Turkey using the phenomenological method. By using the purposeful sampling method, 20 participants were selected in the study. Of them, 10 were family caregivers and 10 were patients diagnosed with schizophrenia. The results of the study were analysed with a dyadic approach within the framework of key processes of Walsh family resilience model. The directed content analysis method was used to analyse the data obtained from the study. COREQ checklist was used to report the research. After the analysis, the following five main themes emerged: positive cognitions, routines, family support, intra-family communication and love as a healing force. Family resilience is a structure shaped by the relationship between family members. The factors that contribute to the individual diagnosed with schizophrenia-caregiver dyads' ability to overcome difficulties in family resilience are discussed in line with the relevant literature. Intervention programs should be implemented to create an environment of love by improving relationships and communication in the family, improving problem solving and increasing support resources.

Drug–target interaction prediction through fine-grained selection and bidirectional random walk methodology

The study of drug–target interaction plays an important role in the process of drug development. The subject of DTI forecasting has advanced significantly in the last several years, yielding numerous significant research findings and methodologies. Heterogeneous data sources provide richer information and comprehensive perspectives for drug–target interaction prediction, so many existing methods rely on heterogeneous networks, and graph embedding technology becomes an important technology to extract information from heterogeneous networks. These approaches, however, are less concerned with potential noisy information in heterogeneous networks and more focused on the extent of information extraction in those networks. Based on this, a potential DTI predictive network model called FBRWPC is proposed in this paper. It uses a fine-grained similarity selection program to first integrate similarity on similar networks and then a bidirectional random walk graph embedding learning method with restart to obtain an updated drug target interaction matrix. Through the use of similarity selection and fine-grained selection similarity integration, the framework can effectively filter out the noise present in heterogeneous networks and enhance the model's prediction performance. The experimental findings demonstrate that, even after being split up into four distinct types of data sets, FBRWPC can still retain great prediction performance, a sign of the model's resilience and good generalization.

Development of a Model for Comprehensive Evaluation of Corporate Resilience Against Disasters (1)—An Examination Based on Indicators Developed by “Resilient Organisations”

“Resilience” is the ability to recover after being affected by a disaster or accident. Companies are expected to be resilient against accidents and disasters; however, no method comprehensively evaluates corporate resilience. As a preparation for developing such an evaluation method, this study examines the 13 Resilience Indicators developed by “Resilient Organisations” as one of the models for organizational resilience to assess whether it comprehensively covers the factors that contribute to corporate resilience. This study compares the indicators with past accidents and disaster cases. Consequently, the study determined that the 13 Resilience Indicators do not explicitly cover the following four factors: (1) risk diversification related to external resources such as suppliers, (2) prompt decision-making and action, (3) countermeasures to protect corporate reputation, and (4) a never-give-up attitude. It cannot be said that this is a definitive conclusion, as subjectivity intervenes in various ways in the examination process. However, this study identified factors that should be considered while developing a model that comprehensively includes factors that contribute to corporate resilience.

Too little, too much, and "just right": Exploring the "goldilocks zone" of daily stress reactivity.

Hormetic models of stress resilience describe nonlinear relations for exposure to adversity and health outcomes, where exposure induces salutary changes up to a threshold, with changes becoming deleterious afterward. Here we apply a hormetic model of stress to reactivity to daily stressors, examining whether mental and physical health benefits arise from low-to-moderate reactivity but then decrease at higher levels. Data are from the second wave of the National Study of Daily Experiences (NSDE). Adults (N = 2,022; Mage = 58.61, SD = 12.12, age range: 35-86; 57% female) completed telephone interviews detailing their stressors and affect on eight consecutive evenings. A series of multilevel structural equation models estimated within-person associations between daily stressors and negative affect (i.e., stress reactivity), and between-person linear and quadratic effects of stress reactivity on mental and physical health outcomes (i.e., life satisfaction, psychological distress, and number of chronic conditions). Findings reveal a significant quadratic effect for each outcome, indicating a U-shaped pattern (inverse U for positively valenced life satisfaction), such that low and high levels of stress reactivity were associated with poorer health and well-being, whereas moderate levels of daily stress reactivity predicted better health outcomes. These findings suggest that individuals who display either very low- or very high-stress reactivity may benefit from interventions that target their emotion regulation skills and coping resources. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Development of a Model for Comprehensive Evaluation of Corporate Resilience Against Disasters (2)—An Examination Based on British Standard Institution’s Organizational Resilience Index

“Resilience” is the ability to recover from the effects of a disaster or accident. Companies are expected to be resilient against accidents and disasters; however, at present no method comprehensively evaluates corporate resilience. This study examines some models of organizational resilience already published as a preparation for developing such an evaluation method. This study examines the “Organizational Resilience Index” developed by the British Standards Institution to assess whether it comprehensively covers the factors that contribute to corporate resilience. This study compares these with cases of past disasters and accidents. The results suggest that the following six factors are not explicitly covered by the Organizational Resilience Index: (1) attitude toward fulfilling responsibilities to customers, (2) external cooperation/assistance, (3) prompt decision-making and action, (4) practitioners empowered with discretion, (5) loyalty of employees to the company, and (6) a never-give-up attitude. Although this cannot be considered a definitive conclusion because of the various forms of subjectivity involved in the examination process, this study identifies factors that should be considered while developing a model that comprehensively includes factors that contribute to corporate resilience.

The Roles of Supply Chain Resilience and Business Model Innovation in Sustaining Firm Performance

The Roles of Supply Chain Resilience and Business Model Innovation in Sustaining Firm Performance

Cancer Care Disparities: Overcoming Barriers to Cancer Control in Low- and Middle-Income Countries.

The rising global burden of cancer disproportionately affects low- and middle-income countries (LMICs), which account for over half of new patients and cancer deaths worldwide. However, LMIC health systems face profound challenges in implementing comprehensive cancer control programs because of limited health care resources and infrastructure. This analytical review explores contemporary evidence on barriers undermining cancer control efforts in resource-constrained LMIC settings. We conducted a comprehensive literature review of peer-reviewed evidence on cancer control challenges and solutions tailored to resource-limited settings. We provide a conceptual framework categorizing these barriers across the cancer care continuum, from raising public awareness to palliative care. We also appraise evidence-based strategies proposed to overcome identified obstacles to cancer control in the published literature, including task-shifting to nonspecialist health workers, strategic prioritization of high-impact interventions, regional collaborations, patient navigation systems, and novel financing mechanisms. Developing strong primary care delivery platforms integrated with specialized oncology care, alongside flexible and resilient health system models tailored to local contexts, will be critical to curb the rising tide of cancer in resource-limited settings. Urgent global commitments and investments are needed to dismantle barriers and expand access to prevention, early detection, diagnosis, treatment, and palliation services for all patients with cancer residing in LMICs as an ethical imperative. The review elucidates priority areas for policy actions, health systems strengthening, and future research to guide international efforts toward more equitable cancer control globally.