Resilience Improvement Research Articles

A novel cost-based optimization model for electric power distribution systems resilience improvement under dust storms

In the recent years, dust storms (DSs) pose a serious threat to critical infrastructure such as power distribution networks (PDNs). During DSs, the contamination of insulators, increases the possibility of damage to the PDNs insulation system and flashover induced power outage may occur. Power outages disrupt the performance of other urban infrastructures and, in addition to heavy financial losses, cause public dissatisfaction. Although this issue is of particular importance in areas with humid climate, a few studies have been reported on PDNs resilience improvement against DSs. This paper proposes a novel cost-based optimization model to make PDNs more resilient to DSs considering uncertainties. The proposed model is based on the two-stage stochastic mixed-integer programming (SMIP). In the first stage, decisions are made to equip repair crews (RCs) with insulator washing machines, hardening distribution lines with silicone-rubber insulators (SIs), and deploy backup distributed generators (DGs). Decisions in the second stage include network reconfiguration, RCs routing, DGs power dispatch, and load shedding as the critical options for PDN outage management during/after DSs. Case studies are evaluated in the IEEE 69-bus test system and a real 209-bus PDN in Khuzestan province, a coastal province in southwestern Iran. The simulation results at different budget levels have confirmed the efficiency of the proposed model for cost-optimal resilience enhancement planning of PDNs against DSs.

Structure and Functions of Green Roof and Its Development in Urban Areas, China

The green roof is an environmentally friendly design, which is important for sustainable development and improvement of resilience in urban areas. This paper offers a systematically review of the classification, material selection, functionality, limiting factors of green roofs, and provides suggestions. The green roof is classified into intensive, extensive and semi-intensive ones according to the substrate depth and vegetation type. Its basic structure includes vegetation, substrate, filter, drainage, protection, anti-root, insulation and waterproofing layers from top to base. Among which, vegetation, waterproofing and drainage are vital layers to decide the roof efficient. The factors such as light, temperature and humidity conditions of the site are vital for determination of vegetations for a green roof. Green roofs provide benefits for urban areas via saving energy, reducing stormwater runoff and improving aesthetic. Roof load-bearing, seepage, survival of vegetations and support from all sectors are the main issues for the development of green roofs at current stage.

Edge-based graph neural network for ranking critical road segments in a network.

Transportation networks play a crucial role in society by enabling the smooth movement of people and goods during regular times and acting as arteries for evacuations during catastrophes and natural disasters. Identifying the critical road segments in a large and complex network is essential for planners and emergency managers to enhance the network's efficiency, robustness, and resilience to such stressors. We propose a novel approach to rapidly identify critical and vital network components (road segments in a transportation network) for resilience improvement or post-disaster recovery. We pose the transportation network as a graph with roads as edges and intersections as nodes and deploy a Graph Neural Network (GNN) trained on a broad range of network parameter changes and disruption events to rank the importance of road segments. The trained GNN model can rapidly estimate the criticality rank of individual road segments in the modified network resulting from an interruption. We address two main limitations in the existing literature that can arise in capital planning or during emergencies: ranking a complete network after changes to components and addressing situations in post-disaster recovery sequencing where some critical segments cannot be recovered. Importantly, our approach overcomes the computational overhead associated with the repeated calculation of network performance metrics, which can limit its use in large networks. To highlight scenarios where our method can prove beneficial, we present examples of synthetic graphs and two real-world transportation networks. Through these examples, we show how our method can support planners and emergency managers in undertaking rapid decisions for planning infrastructure hardening measures in large networks or during emergencies, which otherwise would require repeated ranking calculations for the entire network.

Assessing fire resilience of historic districts: An approach combining space structure and tourists’ behavior

The fire risk of historical districts is a huge challenge faced by all countries in the world when protecting historical and cultural heritage. As the historic districts are transformed into commercial districts nowadays, increasing tourists and businessmen start to visit and move into these districts, it is more urgent to deal with the fire risks with the growing demand of fire and electricity. Accurate assessment of the fire resilience and targeted implementation of resilience improvement actions are considered to be an effective way to solve this problem. However, the existing research has not fully considered the complex effects of space structure, tourists' behavior and the interaction between them on fire resilience. Therefore, this study constructed a fire resilience assessment framework combining space structure and tourists' behavior, and considering the spatial-behavior interaction. The results revealed that the space structure of commercial historical districts and the behavior of tourists show different characteristics and regulars in our study area, such as the categories of shops using open fires, the location of open fires and the periodicity of tourists ' behavior over time. By taking an experimental verification in Ciqikou Historic district, Chongqing, China, this assessment framework showed a flexible scale of application with strong operability and versatility, which also evidenced that space structure and tourists’ behavior must be taken into account simultaneously to improve the fire resilience of historical districts. At last, we proposed targeted strategies to improve the fire resilience from the aspects of space structure and tourists' behavior, respectively.

Potential for quantifying general environmental resilience of dairy cattle in sub-Saharan Africa using deviations in milk yield.

Introduction: Genetic improvement of general resilience of dairy cattle is deemed as a part of the solution to low dairy productivity and poor cattle adaptability in sub-Saharan Africa (SSA). While indicators of general resilience have been proposed and evaluated in other regions, their applicability in SSA remains unexplored. This study sought to test the viability of utilizing log-transformed variance (LnVar), autocorrelation (rauto), and skewness (Skew) of deviations in milk yield as indicators of general resilience of dairy cows performing in the tropical environment of Kenya. Methods: Test-day milk yield records of 2,670 first-parity cows performing in three distinct agroecological zones of Kenya were used. To predict expected milk yield, quantile regression was used to model lactation curve for each cow. Subsequently, resilience indicators were defined based on actual and standardized deviations of observed milk yield from the expected milk yield. The genetic parameters of these indicators were estimated, and their associations with longevity and average test-day milk yield were examined. Results: All indicators were heritable except skewness of actual and standardized deviation. The log-transformed variance of actual (LnVar1) and standardized (LnVar2) deviations had the highest heritabilities of 0.19 ± 0.04 and 0.17 ± 0.04, respectively. Auto-correlation of actual (rauto1) and standardized (rauto2) deviations had heritabilities of 0.05 ± 0.03 and 0.07 ± 0.03, respectively. Weak to moderate genetic correlations were observed among resilience indicators. Both rauto and Skew indicators had negligible genetic correlations with both longevity and average test-day milk yield. LnVar1 and LnVar2 were genetically associated with better longevity (rg = -0.47 ± 0.26 and -0.49 ± 0.26, respectively). Whereas LnVar1 suggested that resilient animals produce lower average test-day milk yield, LnVar2 revealed a genetic association between resilience and higher average test-day milk yield. Discussion: Log transformed variance of deviations in milk yield holds a significant potential as a robust resilience indicator for dairy animals performing in SSA. Moreover, standardized as opposed to actual deviations should be employed in defining resilience indicators because the resultant indicator does not inaccurately infer that low-producing animals are inherently resilient. This study offers an opportunity for enhancing the productivity of dairy cattle performing in SSA through selective breeding for resilience to environmental stressors.

Evaluating the impact of coordinated multiple mobile emergency resources on distribution system resilience improvement

Extreme weather events in recent years have resulted in numerous incidents of major power outages and significant economic losses. Therefore, it is crucial to find potential solutions that can improve the resilience of the distribution system (DS). In this regard, this paper proposes a two-stage resilient restoration model for distribution systems utilizing Electric Vehicles (EVs) and Mobile Energy Resources (MERs) to address the issue. The impact of a transportation network on the two-stage model is represented by the consideration of interdependence between vehicle routes and distribution lines. Initially, the charging and repair stations are strategically placed on the transportation network before an extreme event by considering the distribution lines that have a high probability of failure during the event. An integer nonlinear programming model is used to determine the optimal number and staging locations of the charging and repair stations during the development of the first stage. The second stage involves the design of a mixed integer linear programming model to restore loads and recover the DS via optimizing the dispatch of EVs with MERs on the transportation network. The proposed method is tested on modified IEEE 123-Bus system. The utilization of EVs alongwith MERs under post-disaster conditions helps to reduce the ENS by 42.1038 %. The ENS found to be 7.9150 MWh utilising the proposed method is much less compared to the ENS obtained by existing method and hence this demonstrates the effectiveness of the proposed method.

Reboot coaching programme: a mixed-methods evaluation assessing resilience, confidence, burnout and depression in medical students.

Poor mental health in medical students is a global concern. Effective interventions are required, which are tailored towards the training-related stressors medical students experience. The Reboot coaching programme is an online, tailored intervention based on cognitive-behavioural principles. To evaluate whether the Reboot coaching programme tailored for medical students was feasible and associated with improvements in mental health outcome indicators. Medical students participated in two group online workshops and a one-to-one coaching call with a Reboot-trained licensed psychological therapist. Participants provided data at: baseline (T1), post-workshops (T2), post-coaching call (T3) and 4-month follow-up (T4). Outcome measures included resilience, confidence, burnout and depression. Feedback was provided regarding the workshops at T2. 115 participants (93/80.9% women; mage = 23.9; SD = 2.8) were recruited, 83 (72.2%) completed all intervention elements and 82 (71.3%) provided T4 data, surpassing recruitment and retention targets. There were significant improvements following baseline in resilience (ps < .001), confidence (ps < .001), burnout (ps < .001) and depression (ps ≤ .001). Most participants agreed the workshops imparted useful skills (n = 92; 99%) and would recommend Reboot to others (n = 89; 95.6%). Existing interventions have produced mixed results regarding their effectiveness in improving medical students' mental health. Reboot is a feasible intervention in this group which is associated with improvements in resilience, confidence, burnout and depression. Further controlled studies of Reboot are now needed.

Exploration of resilience in midwifery students

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Background: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Resilience is considered a vital characteristic and has gained attention in midwifery practice and education. In particular, midwifery students face challenges during their education in both the academic and clinical components of the program. The clinical component of midwifery education is equally demanding. Students work in actual healthcare settings, providing care to expectant mothers and infants. They face the emotional and physical demands of long hours, the need for excellent communication skills, and exposure to complex clinical situations. Resilience enables them to stay composed in high-stress situations and learn from both successes and failures.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Objectives: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;to offer a complete picture of the recent research on the resilience of midwifery students&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Methods: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;This study's methodology is a scoping review using the prism-ScR checklist, the Joanna Briggs Institute (JBI) critical appraisal tool, and a PEOs framework. It makes use of four databases— Google Scholar, PubMed, Scopus, and ProQuest —and its inclusion criteria are original English articles that can be accessed in full text between 2019 and 2023.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Out of 168 publications, we found 10 that are pertinent to the research goals. Qualitative research, cross-sectional studies, and mixed methods studies make up the research. The mapping result includes four themes: Caring, Support, Bounce back, Critical Reflective Skills, A Mandatory skill set, and Burnout.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;strong&gt;&lt;em&gt;Conclusions: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Empathy, resilience, professional identity, perceived concern from peers, and recognition of caring as a prerequisite for the midwifery profession were factors strongly associated with humanistic caring ability. These factors should be incorporated into the midwifery education agenda for agents of change. Facilitating the improvement of empathy, resilience, and professional identity will require strategic training, reinforcement, and transformative educational approaches from educators.&lt;/em&gt;

Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes

Failure mode analysis and recovery strategy improvement are critical to maintain the resilience of cyber-physical supply chain networks (CPSCNs). However, current literature mostly focuses on single failure mode and single-stage recovery strategy for CPSCNs, which may not be the case for real-world CPSCNs. In this paper, a new cascading failure model with four mixed failure modes and a joint improvement model for two-stage recovery regarding CPSCNs are proposed. A CPSCN model consisting of a weighted undirected cyber-supply network and a weighted directed physical-supply network is established to investigate the mixed cascading failures. Given the recovery requirements of practical contracts, the recovery time constraint on the enterprises in CPSCNs is considered in the joint improvement model of two-stage recovery. Based on the case studies of synthetic networks and a European supply chain network, the effects of some key factors, such as network topology and node coupling modes, on the resilience of CPSCNs are discussed. The performance of the proposed recovery strategy is compared with two traditional network recovery strategies, and the results show that the proposed strategy can help restore network performance more effectively. This work provides insights for CPSCNs recovery with resilience improvement against future cascading failures.

Fire Risk Analysis and Resilience Improvement in Lusaka City

Fire risk has become one of the most recurring and frequent disasters in the world. Fire disaster risk has put more burdens on the economic loss and social development of the people of Lusaka city in Zambia. Lusaka city has continuously suffered from fire cases that have claimed millions of Kwacha loss and life. It has been discovered that the incidence of fire is increasing very rapidly. The causes can be charcoal braziers, cigarette ends, lighted candles, illegal wiring, electrical fault, etc. but the devastation is increasing both in terms of lives and economies. Due to the increase of cases, the disaster management mitigation unity in Zambia organized and structured programs and policies, but the administration and resilience implementation of these programs demand more efficiency. In the recent years, fire disaster risk has damaged lives and the economy much more than other disasters in Zambia. This paper is about the fire risk analysis and resilience improvement in Lusaka city. The data are from the fire brigade in Lusaka city and the field which has been used to analyze the trends of fire and other disaster risks in years and their impact on the city.

Internal and External Factors that Boost the Performance of Social Enterprises During Covid-19 in Malaysia

The objective of this study is to examine the internal and external factors that contribute to the improvement of resilience and performance in social enterprises (SEs) operating in Malaysia, particularly in response to the unanticipated market conditions arising from the Covid-19 pandemic. Due to the unpredictable market conditions induced by the Covid-19 pandemic, this study aims to examine internal and external factors that can enhance the resilience and performance of social enterprises in Malaysia from the lens of Resource Dependence Theory and Resource-Based View Theory. This research is a quantitative-based study where an explanatory model was developed and statistically tested to analyse the data collected from an online survey conducted on 109 registered social enterprises in Malaysia. The statistical findings demonstrated that entrepreneurial orientation and network connections have a positive effect on the financial performance of social enterprises. Surprisingly, traditional business planning has a negative impact on financial performance during times of crisis. Moreover, this quantitative study affirms a notable association between fiscal performance and societal achievement, underscoring the pivotal importance of financial viability in fostering enduring social value. These observations provide valuable additions to the current body of knowledge on SEs and provide practical implications for individuals involved in the field, as well as policymakers and stakeholders.

Voltage resilience improvement strategy for off-grid microgrid based on power flow mapping model

Voltage resilience improvement strategy for off-grid microgrid based on power flow mapping model

Modeling and Evaluating Power Grid Resilience Under Extreme Space Weather

AbstractThe geomagnetically induced current (GIC) produced during extreme geomagnetic storms can easily lead to large‐scale blackouts in China due to the increase in the scale of its electric power grid. A power grid's resilience is its capability to resist various natural hazards, withstand primary failures, and quickly resume normal operation. To avoid power grid damages, this study developed a resilient power grid, incorporating failure, power flow calculation and recovery models under a uniform induced geoelectric field. We chose a system's performance loss as the resilience evaluation indicator, which intuitively reflected a system's loss under GIC. In addition, the recovery model was optimized using a genetic algorithm, and two resilience improvement measures were proposed. The IEEE‐RTS‐79 system, consisting of 10 generators, 24 buses and 5 transformers, was chosen as an example to verify the feasibility of this study. The results show that the genetic algorithm and optimization measures effectively enhanced the system's resilience indicator and provided a reference for preventing system damages under GIC and quick recovery after possible failures.

Enhancing Emergency Nurses' Disaster Nursing Ability and Psychological Resilience: A Randomized Controlled Trial.

This study aimed to investigate emergency nurses' disaster nursing ability and psychological resilience, validate the effectiveness of a training system for disaster nursing ability based on psychological resilience, and verify the relationship between psychological resilience and disaster nursing ability among emergency nurses. A training system was developed to enhance psychological resilience and disaster nursing ability. A multicenter, randomized controlled experiment was conducted in five Grade III hospitals in Sichuan Province. A total of 93 emergency nurses were randomly assigned to the following three groups: the blank group, intervention group, and control group. The corresponding interventions were as follows: no intervention, psychological resilience, and nurses' disaster nursing ability training. Personal information forms, the Connor-Davidson Resiliency Scale, and the Nurses' Disaster Nursing Ability Assessment Scale were used in the survey. There was no significant difference in the scores of psychological resilience and disaster nursing ability in the blank group in the pretest and posttest (P > 0.05). The disaster nursing ability of both the intervention and control groups significantly improved in the posttest (P < 0.05). Compared with the control group, the intervention group demonstrated significant improvement in psychological resilience in the posttest (P < 0.05). However, there was no statistical difference in psychological resilience scores in the control group in the pretest and posttest (P > 0.05). The study concluded that the psychological resilience and disaster nursing ability of emergency nurses could be enhanced through the implemented training system.

A Hybrid Heuristic Algorithm for Maximizing the Resilience of Underground Logistics Network Planning

In recent times, there has been a sharp increase in the congestion of ground transportation, the scarcity of land resources, and various disasters. Hence, there is an urgent need to find an effective and sustainable approach to transportation. The construction of an underground logistics network, where transportation activities occur beneath the surface of the ground, is anticipated to emerge as a future trend. This study aims to formulate a resilient-maximizing plan for the underground logistics network, ensuring optimal meeting of transportation demands in the aftermath of ground disasters. Accordingly, a two-stage linear programming model is established to determine the layout plan for the most resilient underground logistics network. The first phase of the model is designed to generate viable layouts for the underground logistics network, while the second phase is dedicated to evaluating the resilience of the proposed layout plan. During the evaluation of network resilience, Monte Carlo simulations are used to simulate disaster scenarios. Given the inherent complexity of the model, the traditional solver cannot efficiently solve the problem. Thus, a new hybrid heuristic algorithm is designed to obtain solutions that maximize network resilience. The results show the effectiveness of the designed algorithm and the significant improvement in network resilience achieved by numerical experiments. Moreover, sensitivity analyses are conducted to reveal the relationships between resilience and budget, as well as resilience and the capacity of underground pipelines. It has a significant impact on sustainability when making decisions regarding network planning.

Construction of Outdoor Adventure Education Courses to Develop Psychological Resilience for University Students

Background and aims: Most schools only pay attention to the cultivation of students' bodies, knowledge, and skills, but neglect the development and training of university students' psychological skills. When university students exhibit some psychological problems, often will be given to students' mental health education centers to solve, due to the student's mental health education center teachers and the site being more limited. This study aims to evaluate the impact of outdoor adventure education courses on the psychological resilience of university students. Materials and methods: The researchers used an experience-based learning circle model, incorporating The Resiliency Wheel, Full value contracts, and guidance techniques. Using quantitative studies, interviews, and experimental data, participants were divided into two groups: the experimental group and the control group. The effect of the adventure education course as an 8-week intervention was studied using the psychological resilience Scale. Data were analyzed using a t-test and one-way ANOVA. The experimental group scored higher than the control group in the total scores of psychological resilience and the three components (tenacity, strength, optimism), and these results were statistically significant. Further, the experimental group shows marginal positive changes in the total resilience scale and its three dimensions in terms of effect size. The designed adventure education courses significantly improve the psychological resilience of university students. Results: The results found that the psychological resilience level of university students was significantly improved after the intervention, and the scores in the dimensions of tenacity, strength, and optimism significantly increased after the intervention. through the research of this paper, we can expand the analytical perspective of psychological resilience and provide a new way of thinking for the improvement of the psychological resilience of university students. Conclusion: The content of previous interventions on psychological resilience and the factors affecting psychological resilience, applying the concept of the psychological resilience wheel to this course, And the full value contract, guide technology, and outdoor adventure education courses are fully combined and designed.

Comparison of Resilience, Personal Recovery, and Quality of Life Measures Pre- and Post-Discharge from Inpatient Mental Health Units in Alberta: Analysis of Control Group Data from a Randomized Trial.

Background: The transition from hospital to community settings for most mental health service users is often hindered by challenges that affect community adjustment and continuity of care. The first few weeks and days after discharge from mental health inpatient units represent a critical phase for many service users. This paper aims to evaluate the changes in the resilience, personal recovery, and quality of life status of individuals with mental health challenges recently discharged from acute mental health care into the community. Methods: Data for this study were collected as part of a pragmatic stepped-wedge cluster-randomized, longitudinal approach in Alberta. A paired sample t-test and Chi-squared/Fisher test were deployed to assess changes from baseline to six weeks in the recovery assessment scale (RAS), brief resilience scale (BRS), and EuroQol-5d (EQ-5D), using an online questionnaire. Results: A total of 306 service users were recruited and 88 completed both baseline and six weeks, giving a response rate of 28.8%. There was no statistically significant change in the level of resilience, recovery and quality of life as measured with the brief resilience scale, recovery assessment scale and EQ-5D from baseline to six weeks (p > 0.05). Conclusions: The study showed that there was neither an improvement nor deterioration in resilience, recovery, or quality of life status of service users six weeks post-discharge from inpatient mental health care. The lack of further progress calls into question whether the support available in the community when patient's leave inpatient care is adequate to promote full recovery. The results justify investigations into the effectiveness of innovative and cost-effective programs such as peer and text-based supportive interventions for service users discharged from inpatient psychiatric care.

Effectivity of Palliative Care Bundle on Advanced Gallbladder Cancer: A Randomised Controlled Trial.

The main aim of this study was to develop, test, and compare palliative care bundles to improve functional recovery, resilience, and quality of life among advanced gallbladder cancer patient with their routine palliative care. This study was to test a palliative care bundle, a single-center, and two-arm randomised controlled trial done on a total of 116 participants (58 in each arm) from July 2019 to December 2021 at All India Institute of Medical Sciences, Rishikesh. By the end of 4th month, the recruitment rate was 96.7%, retention rate acceptance rate was 95%, and adherence rate was 85%. The palliative care bundle showed that a significant difference in trial outcome index score (P = 0.014*) indicates the effectiveness of the palliative care bundle related to improvement in physical mobility, resilience, and quality of life of patients and reduced caregiver burden. Reported barriers faced by participants were physical exhaustion (65%), psychological factors (25%), social factors (15%) and unfamiliar surroundings (5%). Caregivers reported barriers that their job (40%), physical fatigue related to the care of their patient (40%), their education (10%), and lack of support for their other family members (10%) were some reasons forcing them not to practice palliative care bundle. The palliative care bundle did not interfere with the palliative treatment plan of any patients and significantly improved physical mobility, resilience, quality of life of patients, and reduced caregiver burden. Hence, a palliative care bundle can be considered in the palliative care of advanced cancer patients during their palliative treatment to provide holistic care.

Preparation of EPDM/silicon nanofibers-graphene nanocomposites with enhanced interfacial structure: Highly reinforcing and stabilizing effect

Aiming at designing enhanced interfacial structure, TA@SiNF/PGNs hybrids with hydrogen bonding and π-π conjugation were constructed through wrapping of polyrhodanine on graphene nanosheets (GNs) and self-polymerization of tannic acid (TA) onto SiNF surface. EPDM/TA@SiNF/PGNs nanocomposites were further prepared and the enhanced interfacial interactions were achieved, which promoted good dispersion of the hybrid nanofillers. Compared with EPDM, addition of TA@SiNF/PGNs resulted in a significant increase in mechanical strength and fracture toughness, and the mechanical strength of EPDM/TA@SiNF/PGNs was much better than EPDM/TA@SiNF or EPDM/PGNs due to the increased crosslinking density, indicating remarkably reinforcing and toughening effect of TA@SiNF/PGNs. In addition, the lower compression set and higher contact stress relaxation coefficient were achieved, revealing an improvement of compressive resilience. Moreover, TA@SiNF/PGNs effectively slowed down the deterioration of mechanical properties after thermo-oxidative aging, and the higher retention of crosslinking density and prolonged oxidation induction time confirmed the excellent stabilization effect of TA@SiNF/PGNs.

The "STAR WARS: The First Jedi" Program-Effects of Gamification on Psychological Well-Being of College Students.

Background: College students are particularly susceptible to developing mental health problems. Gamification can be a powerful teaching strategy to favor motivation and behavioral changes for the improvement of psychological well-being. Purpose: To analyze the effect of a 14-week gamification-based physical education teaching program on psychological well-being of college students. Materials and Methods: A total of 112 college students (21.22 ± 2.55 years) were recruited and assigned to a gamification-based group or a control group. The intervention group participated in a gamification-based program under the framework of "STAR WARS" science fiction sage. Participants from this group used a mobile app with a countdown timer and the way for them to gain lifetime was by doing physical activity (PA) and formative challenges. The control group did not experience the gamification approach itself as their classes were based on traditional methodology. They were asked to maintain their usual lifestyle and were not required to do PA. Emotional intelligence, personal initiative, entrepreneurial attitude, resilience, and self-efficacy were self-reported. Results: The gamification-based group showed a significantly higher improvement of emotional intelligence (P ≤ 0.006), personal initiative (P ≤ 0.033), entrepreneurial attitude (P < 0.001), resilience (P = 0.002), and self-efficacy (P < 0.001), compared with the control group. Overall effect sizes were of medium magnitude for emotional intelligence and personal initiative, large magnitude for entrepreneurial attitude, and small magnitude for resilience and self-efficacy. Conclusion: Gamification and the use of mobile apps may become powerful teaching strategies to motivate college students toward healthier lifestyle behaviors that have psychological well-being benefits.