Resilience Profile Research Articles

Profil Resiliensi Mahasiswa Broken Home (Studi pada Mahasiswa BK Universitas PGRI Sumatera Barat)

This research is motivated by the observation that students from broken homes often exhibit avoidant behavior when discussing their family, struggle to regulate their emotions, including crying, when talking about their family, and frequently withdraw from social situations.. This study aims to determine the level of resilience in students broken home seen from; 1) emotion regulation, 2) impulse control, 3) empathy, 4) a optimism, and 5) problem analysis that contribute to student resilience profiles. This study used a quantitative descriptive method with a research population of 60 students selected by the method total sampling with the number of samples taken 60 students. The instrument used is a questionnaire. The aspects of resilience studied include emotion regulation, impulse control, optimism, empathy, and problem analysis skills. Data were analyzed descriptively quantitatively to describe the resilience profile of BK students with different backgrounds broken home. The results of the analysis show that the profile of student resilience is based on background broken home in the PGRI University West Sumatra BK study program are in the medium category. Here are the details; 1) the emotion regulation aspect is in the medium category, 2) the impulse control aspect is in the high category, 3) the empathy aspect is in the medium category, 4) the optimistic aspect is in the moderate category, 5) the problem analysis aspect is in the medium category. Even so, all aspects of resilience have variations in students who have family backgrounds broken home. This research can provide information about the resilience profile description, and this description can be a reference in improving student resilience profiles as well as being a benchmark in developing student resilience profiles broken home become even better.Keywords: Student Broken home, Resilience

Uncovering resilient profiles and their influence on college student psychosocial functioning: a latent profile analysis approach to complete mental health

Uncovering resilient profiles and their influence on college student psychosocial functioning: a latent profile analysis approach to complete mental health

Building professional resilience: School music teachers’ instructional practice development under curriculum reform

This study used a mixed-methods approach to investigate the characteristics and development of teachers’ resilience profiles during ongoing school music curriculum reforms in mainland China. During a 12-month voluntary teacher development project, seven mid-career schoolteachers based in Shenzhen City, South China, helped collect longitudinal data on their resilience profiles and instructional practices. Inspired by Mansfield’s resilience model, this study developed a model of the essential dynamics in the resilience development process of individual teachers. The working model mapped the identified factors of teachers’ resilience development into a coordinate system that incorporated two approaches (receptive and autonomous) to resilience building, with two scenarios (mandatory or conditional) in curriculum implementation. The findings suggested that (a) teachers exhibited different resilience properties shaped by both personal and contextual factors, as well as the connection pathways between factors, and (b) teachers used a variety of strategies to build resilience to policy and environmental constraints, including mentoring, peer support, problem-solving, relationship management, and pedagogy innovation. These strategies were mapped onto a functional model for resilience development in curriculum implementation, which further extended the application of Mansfield’s conceptual framework to teacher education programs. Although this study recognized the value of quantitative research instruments in capturing resilience profiles, the ecological validity and reliability concerns of these measurements were also discussed.

Differences in resilience profiles between military veterans and the general population: An exploratory latent profile analysis using the HUNT-4 survey.

Using latent profile analyses, the current work investigated levels of adverse childhood experiences, symptoms of anxiety and depression and 3 dimensions of relational promotive factors) to identify resilience profiles in a large general population sample (N=161,622, mean age=53.02; SD=17.80; 56.1% females). We then used the same method to identify the resilience profiles of military veterans (N=386, mean age=43.47; SD=10.08; 9.8% females), all of whom had served in Afghanistan. A four-profile-solution was the best fitting for the general population (High resilient 30%, Moderate resilient 13%, Low resilient 53%, Work/social-based resilience 4%), while a three-profile-solution had the best fit in the veteran cohort (Family-based resilience 28%, Work/social-based resilience 62%, Hardy loners 10%). To ground the identified profiles in occupational function, we also checked how they predicted reports of sleep difficulties, job demand and job control. Despite both samples inhabiting a geographic region known for high socioeconomic similarity among residents, we found marked differences in profile-solutions between the military veterans and the general population. Our findings suggests that resilience profiles are highly influenced by cohort characteristics and the specific resources needed to manage a given stressor load. Accordingly, the generalisability of specific protective factors may be low across distinct cohorts, and reliable findings need to be obtained in specific populations as defined by stressor context, sample characteristics, and relevant outcomes.

TC-SEPM: Characterizing soft error resilience of CNNs on Tensor Cores from program and microarchitecture perspectives

As an architectural CNN accelerator integrated into NVIDIA’s GPUs, existing research mainly focuses on improving the performance of Tensor Cores. However, the highly integrated Tensor Cores are vulnerable to transient faults (i.e., soft errors), causing catastrophic consequences in safety-critical applications like automatic driving. Thus, it is imperative to estimate the reliability of CNNs on Tensor Cores. However, obtaining a statistically significant resilience profile of CNNs on Tensor Cores with the existing fault injection (FI)-based reliability estimation methods is expensive. To this end, we build TC-SEPM to predict the error resilience of CNNs on Tensor Cores instead of FI methods. To ensure the accuracy of TC-SEPM, we first investigate resilience-related features from program and microarchitecture perspectives. Then, leveraging these heuristic features, we train machine learning models to learn the hidden relationship between error resilience and the investigated features, enabling us to predict the impact of soft errors in Tensor Cores on CNN output. Experimental results show that TC-SEPM achieves high accuracy for individual soft error resiliency prediction and overall program resilience estimation while its overhead is only 1/27 of FI methods. Additionally, TC-SEPM can provide valuable insights for programmers or architects to design more robust CNN models on Tensor Cores.

Families Taking Care of Individuals with Schizophrenia: A Mixed Method Resilience Study

Background: Schizophrenia, a debilitating disease, causes affected individuals to have personal and social function impairment. As a consequence, affected individuals rely on family caregivers most of the time. Access to mental health care is still limited in Lubuk Pakam, with only one district hospital providing psychiatric care. Therefore, the family must play a great role in providing care for schizophrenic individuals. The aim of our study was to investigate resilience and assess the efficacy of the family empowerment module among families taking care of individuals with schizophrenia. Methods: We conducted two sequential studies, both quantitative and qualitative studies (mixed method), to investigate the family resilience profile. The family empowerment module was asserted and efficacy was measured using a dependent t-test. Multivariate analysis with linear regression was used to assess the relationship between independent variables (burden, stigma, social, and health care support) and the dependent variable (family resilience). Result: The family burden has shown a negative coefficient regression score of 0.130, which means that family burden has an impact of 13%, leading towards the decline of family resilience. A considerable increase in family resilience was noted after the implementation of the family empowerment module (p = 0.001). Conclusion: Implementation of the family empowerment module has helped in increasing family resilience. We suggest that this implementation can also be carried out, especially in other county hospitals with similar relatable situations.

A simulation framework for assessing thermally resilient buildings and communities

The increasing frequency and severity of weather extremes caused by climate change evidence the need to assess buildings beyond their typical thermal and energy performance under normal operation. It is also essential to evaluate thermal resilience to safeguard occupants' health during extreme events and power outages. This study proposes a simulation framework to evaluate and enhance the thermal resilience of buildings against indoor overheating using an integrated set of performance metrics. This work also addresses how to aggregate resilience profiles of single buildings into the urban scale, supporting the evaluation of thermally resilient communities. This is the first step to connecting building and urban scales in a resilience analysis, seeking to further address other stakeholders' needs in the future. The application of the framework is exemplified through a case study considering three different climates in Brazil. This analysis allowed identifying cases with poor thermal resilience and essential dependence on air conditioning to guarantee the survivability of occupants during extreme hot weather. Nonetheless, by only changing the envelope's thermal transmittance and thermal mass, buildings' thermal autonomy increased up to 65% points and cooling loads were reduced by up to 61% in the hottest climate, São Luís. However, additional strategies are necessary to mitigate remaining indoor extreme thermal conditions, such as solar shading and increased air movement.

Resilient, undercontrolled, and overcontrolled personality types in Hong Kong youths and the association with mental health outcomes.

This study aimed to investigate the relationship between RUO types and mental health in a youth sample in Hong Kong. Previous research has found that Resilient, Undercontrolled, and Overcontrolled (RUO) personality types derived from Big Five personality traits are associated with mental health outcomes. Most studies, however, have predominantly been conducted in Western societies. Clinical diagnostic interviews and self-rated measures of psychological constructs, covering resilience, rumination, self-esteem and more, were administered to 860 youths aged 15 to 24 recruited from an ongoing epidemiological youth mental health study in Hong Kong. Three personality clusters were identified. The first (mean age = 19.6, 63.3% female) and second (mean age = 19.5, 60.7% female) cluster both have characteristics of the under- and overcontrolled personalities. The third personality type resembled the resilient profile in RUO typology (mean age = 19.6, 50.5% female) and showed the lowest prevalence of poor mental health. The results suggest that the replicability of the RUO profiles was only partial in a Hong Kong sample predominantly Chinese. The resilient profile was replicated but not the undercontrolled and overcontrolled profiles proposed by previous studies. The findings of the current study implicated that culturally contextual considerations are necessary when relating mental health to personality.

Daily Chronic Stressors in Combination with Resilience Are Associated with Adolescent School Bullying and the Mediating Role of Depressive Symptoms

(1) Background: Previous studies have shown that stress increases the risk of bullying (including perpetration and victimization) in adolescents, and depressive symptoms are associated with both stress and bullying. However, the relationship between stress, depressive symptoms, and bullying has not been fully elucidated. In addition, previous studies have focused only on stressors but have ignored the role of resilience in evaluating individual’s stress. This study aimed to incorporate resilience into the assessment of an individual’s stress, which we named comprehensive stress; to examine the relationship between comprehensive stress and bullying; and then to investigate the potential role of depressive symptoms in this relationship. (2) Methods: We recruited 6353 middle and high school students from the 2021 Shanghai CDC Youth Risk Behavior Surveillance Project. After signing informed consent, participants provided demographic information and completed effective measures of stressors, resilience, depressive symptoms, and bullying. (3) Results: Latent profile analysis revealed four profiles of comprehensive stress, labeled as Low stressor–High resilience (37.57%, n = 2216), Moderate high stressor–Average resilience (14.38%, n = 848), Average stressor–Moderate low resilience (33.33%, n = 1966), and High stressor–Low resilience (14.72%, n = 868). In comparison to students in the Low stressor–High resilience profile, students in other profiles demonstrated higher likelihoods of engaging in bullying victimization and perpetration, as well as higher levels of depressive symptoms. Specifically, students in the High stressor–Low resilience profile had the highest odds of bullying victimization (OR = 6.74, 95% CI: 4.92–9.22) and perpetration (OR = 5.15, 95% CI: 3.56–7.46), along with the highest level of depressive symptoms (β = 11.35, Se(β) = 0.17). Students in the Average stressor–Moderate low resilience profile had a moderate increase in the odds of bullying victimization (OR = 2.21, 95% CI: 1.63–3.00) and perpetration (OR = 2.69, 95% CI: 1.91–3.80), as well as a moderate level of depressive symptoms (β = 5.03, Se(β) = 0.13). Students in the Moderate high stressor–Average resilience profile also showed increased odds of bullying victimization (OR = 2.99, 95% CI: 2.12–4.20) and perpetration (OR = 2.80, 95% CI: 1.88–4.20), as well as a moderate level of depressive symptoms (β = 4.44, Se(β) = 0.16). Depressive symptoms were positively correlated with both perpetration and victimization. Furthermore, the mediating role of depressive symptoms between comprehensive stress and bullying was observed. (4) Conclusions: Combining stressors and resilience is crucial when evaluating an individual’s stress. Comprehensive stress is associated with bullying, and depressive symptoms may partially mediate this relationship.

Characterizing burnout and resilience among nurses: A latent profile analysis of emotional exhaustion, emotional thriving and emotional recovery.

To identify subgroups of nurses with distinct profiles of burnout (emotional exhaustion) and resilience (emotional thriving and emotional recovery) and describe nurse characteristics associated with each profile. Cross-sectional, correlational design. Data were collected via electronic survey from 2018 to 2019. Latent profile analysis was used to identify subgroups of nurses with distinct profiles of emotional exhaustion, emotional thriving and emotional recovery, with each measured on a 0-100 scale. Bivariate statistics were used to determine profile differences in nurse sociodemographic, professional and psychological characteristics. Four distinct profile subgroups were identified: (1) "exhausted" (14% with very high emotional exhaustion, low emotional thriving and moderate emotional recovery), (2) "exhausted with thriving" (6% with high emotional exhaustion, moderate-high emotional thriving and low emotional recovery), (3) "exhausted with thriving and recovery" (52% with moderate-high emotional exhaustion, emotional thriving and emotional recovery), and (4) "thriving and recovery" (27% with low emotional exhaustion and very high emotional thriving and emotional recovery). Nurses in the "exhausted" and "exhausted with thriving" profiles reported greater depression and poorer work-life integration. Nurses in "exhausted" profile were more likely to work in an inpatient setting. Nurses in the "exhausted with thriving and recovery" and "thriving and recovery" profiles reported more positive emotions, more well-being behaviours, and better work-life integration, with the "thriving and recovery" subgroup having the highest levels of these characteristics, lower depression scores and greater racial minority representation. Approaches designed to improve nurse well-being should be tailored to the nurses' profile of emotional exhaustion, thriving and recovery to maximize effectiveness. Given the growing shortage of nurses in healthcare systems, it is critical that multilevel strategies be investigated to retain nursing staff that consider the intersectionality and complexity of the different aspects of burnout and resilience experienced by the nurse. The aim was to assess burnout and resilience among nurses.

MicroRNA expression profiles of stress susceptibility and resilience in the prelimbic and infralimbic cortex of rats after single prolonged stress.

The experience of traumatic stress can engender lasting memories associated with the trauma, often resulting in post-traumatic stress disorder (PTSD). However, only a minority of individuals develop PTSD symptoms upon exposure. The neurobiological mechanisms underlying the pathology of PTSD are poorly understood. Utilizing a rat model of PTSD, the Single Prolonged Stress (SPS) paradigm, we were able to differentiate between resilient and susceptible individuals. Fourteen days after the SPS exposure, we conducted the behavioral analyses using Elevated Plus Maze (EPM) and Open Field (OF) tests to identify male rats as trauma resilient or susceptible. We focused on the microRNA (miRNA) profiles of the infralimbic (IL) and prelimbic (PL) cortical regions, known to be crucial in regulating the stress response. Our investigation of stressed rats exposed to the SPS procedure yielded divergent response, and differential expression microRNAs (DEmiRs) analysis indicated significant differences in the IL and PL transcriptional response. In the IL cortex, the GO analysis revealed enriched GO terms in the resilient versus control comparison, specifically related to mitogen-activated protein kinase and MAP kinase signaling pathways for their molecular functions as well as cytosol and nucleoplasm for the biological process. In the susceptible versus resilient comparison, the changes in molecular functions were only manifested in the functions of regulation of transcription involved in the G1/S transition of the mitotic cell cycle and skeletal muscle satellite cell activation. However, no enriched GO terms were found in the susceptible versus control comparison. In the PL cortex, results indicated that the DEmiRs were enriched exclusively in the cellular component level of the endoplasmic reticulum lumen in the comparison between resilient and control rats. Overall, our study utilized an animal model of PTSD to investigate the potential correlation between stress-induced behavioral dysfunction and variations in miRNA expression. The aforementioned discoveries have the potential to pave the way for novel therapeutic approaches for PTSD, which could involve the targeted regulation of transcriptome expression.

A person-centered approach to resilience against bullying victimization in adolescence: Predictions from teacher support and peer support

BackgroundThere is ample evidence that bullying victimization typically has deleterious effects on the developmental outcomes of adolescents, while little research attention has been paid to those who show “resilient” despite the stress associated with being bullied. This study aimed to identify such a group according to the severity of exposure to bullying victimization and psychological adaptation in terms of negative (i.e., depressive symptoms) as well as positive (i.e., subjective well-being) aspects, and to examine their associations with interpersonal sources in school ecology (i.e., teacher support and peer support) using a short-term longitudinal design. MethodsLatent profile analysis was performed on a sample of 2339 adolescents in junior high schools (Mage = 12.97 ± 0.58 years, 51.1 % boys). ResultsThe presence of a resilient (8.0 %) profile was identified, along with three other distinct profiles: normative (59.2 %), vulnerable (29.0 %), and adverse (3.8 %). Despite experiencing bullying victimization of comparable severity, adolescents who reported more teacher support and peer support were more likely to classify to the “Resilient” profile. LimitationsA broader range of malleable resource factors should be considered to enhance a nuanced understanding of what resource factors contribute to resilience. Multiple reporting sources should be applied to overcome information bias. And the results need to be verified across different cultural contexts, age groups, and regions. ConclusionsThese findings add a new contribution to the literature by highlighting the utility of a person-centered approach in the field of victimization resilience studies and the important roles of teacher and peer support against bullying victimization. Future prevention and early intervention could consider support from teachers and peers as potentially robust and malleable targets.

Can resilience change over time? Patterns and transitions in resilience among young children involved with the child welfare system.

This study examined transitions in resilience profiles and the role of caregiver risk and protective factors in resilience transition probabilities over 18 months among children involved with the child welfare system, using latent profile analysis and latent transition analysis. The sample included 486 children (48% female, baseline Mage = 3.49). There were three resilience profiles at Time 1 (19.9% low emotional behavioral, 26.1% low cognitive, 54.0% multidomain) and two profiles at Time 2 (18.9% low emotional behavioral, 81.1% multidomain). Caregiver mental health problems were negatively associated with membership in the multidomain resilience group at Time 1. Higher levels of cognitive stimulation were associated with initial and continued membership in the multidomain resilience group. Implications for resilient child development are discussed.

Anxiety-associated factors among employees with different personality profiles: a cross-sectional study in China.

Anxiety not only harms employees' work efficiency and satisfaction but also presents as a hazard to their mental health. This study aimed to investigate the prevalence of anxiety among Chinese employees, identify their personality profiles and explore the anxiety-related factors in different personality profiles. This national investigation adopted the multistage random sampling method to recruit employees. A total of 3,875 employees were enrolled in this study, and 39.1% (1,515/3,875) of them were experiencing anxiety at the time of the study. Latent profile analysis (LPA) was conducted to identify personality subgroups among Chinese employees based on their BFI-10 scores. LPA identified a three-profile solution among Chinese employees: average, resilient, and introverted. Employees in the resilient profile had the lowest anxiety rate (16.1%, 132/822), and those in the average profile had the highest rate (46.8%, 1,166/2,494). Multivariate analysis results showed that for all personality profiles, self-efficacy was positively associated with anxiety, and work-family conflict was negatively associated with anxiety. High levels of perceived social support and self-efficacy reduced the risk of anxiety and higher work-family conflict and no partner increased the odds of anxiety in the average profile. For the introverted profile, female gender, and living in a city increased the chances of suffering from anxiety. This study identified that each personality profile of Chinese employees had its own set of factors associated with anxiety, which could facilitate employers to provide targeted interventions to alleviate employees' anxiety.

Stress phenotypes in epilepsy: impact on cognitive functioning and quality of life.

Drug-resistant epilepsy has been proposed as a chronic stress model. Stress can be measured in terms of chronicity (epilepsy duration) and intensity (comorbidities), with depression and anxiety among the most important comorbidities in epilepsy due to its prevalence and its relationship with cognitive functioning and quality of life. This study aims to establish phenotypes according to how patients face a stressful condition (epilepsy) and examine differences in cognition and quality of life depending on these phenotypes. We hypothesize that there will be an interrelationship between epilepsy duration and negative affectivity, and these variables will influence cognition and quality of life. 170 patients (82 men and 88 women) underwent a neuropsychological evaluation in which trait anxiety, depression, attention and executive function, verbal and visual memory, language, emotional recognition, and quality of life were assessed. Hierarchical clustering was performed using z-scores for three variables: trait anxiety; depression; and epilepsy duration. Three clusters were found: vulnerable (high negative affectivity and short duration); resilient (moderate negative affectivity and long duration); and low-impact group (low negative affectivity and short duration). Results show that the vulnerable group had poorer cognitive functioning and quality of life than the other groups. Specifically, the vulnerable group had poorer scores than the low-impact group on verbal memory, visual confrontation naming, and quality of life (except seizure worry). Furthermore, resilient patients had better scores than the low-impact group on cognitive flexibility variables, but lower scores on some quality-of-life subscales (i.e., overall quality of life, emotional well-being, and energy). Finally, the vulnerable group had poorer scores than the resilient group in executive functioning, naming, and quality of life. These results suggest that dealing with stress in patients with epilepsy is related to cognitive performance and quality of life. These findings underline the relevance of considering comorbidities in epilepsy and may be useful for detecting vulnerable or resilient profiles as risk or protective factors for cognitive and quality of life decline.

Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors.

Adolescence is a developmental period during which youth experience vulnerability to psychopathology. To build the foundation for a parsimonious psychopathology risk calculator while capturing the complexity and dynamic nature of the environment, the current study aimed to identify distinct risk and resilience profiles with a wide range of environmental factors guided by Bronfenbrenner's biopsychosocial ecological system theory. The association between the early-mid childhood risk profiles and psychopathology in adolescence were examined. Moreover, the predictive utility of early childhood irritability was evaluated in addition to the risk profiles. The data from Future of Families and Child Wellbeing Study a nation-wide longitudinal study, were used in the latent profile analyses to identify the risk profiles with family, school, and neighborhood characteristics from 3 to 9years old. To capture the socio-environmental and cultural nuances, we extracted three subsamples, including Black/African American (n=2587), Hispanic/Latinx (n=1577), and White (n=776) for separate analyses. Risk profile memberships were used to predict adolescence psychopathology, including depression, anxiety, attention deficits, oppositional defiant disorder, and conduct disorder symptoms. The predictive utility of early childhood irritability above and beyond environmental risk profiles was evaluated using stepwise regression. Three risk profiles were identified in the Hispanic/Latinx and Black/African American subsamples, while four profiles were identified in White subsample. Almost all risk profile membership predicted both internalizing and externalizing psychopathology, while some profiles are predictive of externalizing symptoms only. Higher level of irritability predicted higher symptomatology in all five mental health outcomes above and beyond the environmental profiles. Distinct risk and resilience profiles primarily driven by parent and family characteristics were identified for all three major race/ethnicity groups. Our findings lay the foundation for a more efficient multi-tiered information gathering process in mental health clinical settings to aid the decision making for intervention and prevention.

National resilience assessment and improvement based on multi-source data: Evidence from countries along the belt and road

National resilience is a consensus benchmark to characterize the ability of disaster resistance of a country. The occurrence of various disasters and the ravages of COVID-19 have created urgent needs in assessing and improving the national resilience of countries, especially for countries along the Belt and Road (i.e., B&R countries) with multiple disasters with high frequency and great losses. To accurately depict the national resilience profile, a three-dimensional assessment model based on multi-source data is proposed, where the diversity of losses, fusion utilization of disaster and macro-indicator data, and several refined elements are involved. Using the proposed assessment model, the national resilience of 64 B&R countries is clarified based on more than 13,000 records involving 17 types of disasters and 5 macro-indicators. However, their assessment results are not optimistic, the dimensional resilience are generally trend-synchronized and individual difference in a single dimension, and approximately one-half of countries do not obtain resilience growth over time. To further explore the applicable solutions for national resilience improvement, a coefficient-adjusted stepwise regression model with 20 macro-indicator regressors is developed based on more than 19,000 records. This study provides the quantified model support and a solution reference for national resilience assessment and improvement, which contributes to addressing the global national resilience deficit and promoting the high-quality development of B&R construction.

Frailty Resilience Score: A Novel Measure of Frailty Resilience Associated With Protection From Frailty and Survival.

Frailty is characterized by increased vulnerability to disability and high risk for mortality in older adults. Identification of factors that contribute to frailty resilience is an important step in the development of effective therapies that protect against frailty. First, a reliable quantification of frailty resilience is needed. We developed a novel measure of frailty resilience, the Frailty Resilience Score (FRS), that integrates frailty genetic risk, age, and sex. Application of FRS to the LonGenity cohort (n = 467, mean age 74.4) demonstrated its validity compared to phenotypic frailty and its utility as a reliable predictor of overall survival. In a multivariable-adjusted analysis, 1-standard deviation increase in FRS predicted a 38% reduction in the hazard of mortality, independent of baseline frailty (p < .001). Additionally, FRS was used to identify a proteomic profile of frailty resilience. FRS was shown to be a reliable measure of frailty resilience that can be applied to biological studies of resilience.

Digital Literacy Requires School Resilience

Digital literacy requires school resilience. The purpose of this study is to describe the profile of school resilience and strategies for strengthening school resilience in order to strengthen digital literacy. The method used in this study is a descriptive method that combines quantitative and qualitative (mix method). The research was conducted at SMN N 1 Mungkid involving 40 teachers and 100 students with a multistage random sampling model. The sampling technique in this study was determined using the Lameshow formula, with a total sample of 140 people. Data collection techniques were also carried out using a questionnaire technique through online media (google form) and documentation. The analytical technique used is descriptive with the Excel program using a categorization method based on percentage calculations. The results showed that the overall resilience of Mungkid Junior High School in facing the digital literacy era according to teachers and students was at the lower score, which is in the category of positive resilience building scale (teachers: 31%; Students: 40%). The strategy for strengthening school resilience in the digital literacy era are (1) adapting to situations and conditions, (2) school intervention in overcoming environmental risks and transitions, (3) identifying factors that can help schools overcome crises, (4) skills mapping to identify training needs, (5) identifying the strengths and weaknesses of the education system, and (6) documenting the learning gained by taking into account the availability of school human resources (HR), continuous professional development, communication, network support, adaptation and knowledge-based development.

Assessing the resilience of circularity in water management: a modeling framework to redesign and stress-test regional systems under uncertainty

ABSTRACT Contrary to the ‘make-use-dispose’ linearity of conventional management, circular economy design principles have been proposed as a resource management alternative that reduces waste and promotes efficiency. These principles also find use in water management, offering an alternative against centralized models. Despite the intrinsic links between circularity and resilience, few studies have advanced the identification and discussion of linkage beyond a theoretical or conceptual level. This study presents quantitative links between circularity and resilience, by demonstrating how different circular water management strategies lead to improved resilience performance for a regional urban-rural water system. A stress-testing framework based on a water cycle model is presented, where different circular interventions are evaluated in terms of their overall resilience against future uncertainty. The results demonstrate that circular water options lead to more resilient water systems. The more circular dimensions are addressed through interventions, the more robust resilience profiles become across different water cycle domains.