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Background and Objectives: Women on the verge of divorce are exposed to psychological problems. This research was conducted with the aim of determining the predictors of psychological well-being and psychological cohesion based on mindfulness and emotion regulation strategies with the mediating role of resilience of the women on the verge of divorce in Isfahan City in 2023. Materials and Methods: The research was descriptive and correlational. The statistical population included all the women referred to counseling centers in Isfahan City in 2023, and 302 people were selected as the research sample using convenience sampling method. The participants responded to Gross and John's Emotion Regulation Strategy Questionnaire, Bather's Five-Faceted Mindfulness Questionnaire (FFMQ), Ryff's Psychological Well-Being, Flensburg-Madsen's Psychological Coherence, and Connor and Davidson's Resilience. Data were analyzed using Pearson's correlation test and structural equations modeling. Results: The results showed that there was a significant difference between mindfulness (p<0.001, β=0.74), emotion regulation strategies (p=0.033, β=0.11) and resilience (p<0.001, β=0.36) and psychological well-being; Mindfulness (β=0.13, p<0.001), emotion regulation strategies (β=0.56, p<0.001) and resilience (β=0.39, p<0.001) and mental coherence; And also mindfulness (p=0.028, β=0.06) and emotion regulation strategies (p=0.022, β=0.45) and resilience. There was also a significant positive relationship between mindfulness, emotion regulation strategies and psychological well-being and psychological cohesion with the mediating role of resilience (p<0.05). Conclusion: It appears that resilience plays an important role in the relationship between mindfulness and emotion regulation strategies and psychological well-being and psychological cohesion of women on the verge of divorce. It is recommended to try to increase the psychological well-being, psychological cohesion, and resilience of women by holding family education classes. [ABSTRACT FROM AUTHOR]

The range of applications of RPAs in various industries indicates that their increased usage could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be deployed quickly and effectively in numerous distribution systems and even during a crisis by eliminating existing problems in ground transport due to their structure and flexibility. Moreover, they can also be useful in data collection in damaged areas by correctly defining the condition of flight trajectories. Hence, defining a framework and model for better regulation and management of RPAS-based systems appears necessary; a model that could accurately predict what will happen in practice through the real simulation of the circumstances of distribution systems. Therefore, this study attempts to propose a multi-objective location-routing optimization model by specifying time window constraints, simultaneous pick-up and delivery demands, and the possibility of recharging the used batteries to reduce, firstly, transport costs, secondly, delivery times, and thirdly, estimated risks. Furthermore, the delivery time of the model has been optimized to increase its accuracy based on the uncertain conditions of possible traffic scenarios. It is also imperative to note that the assessment of risk indicators was conducted based on the Specific Operations Risk Assessment (SORA) standard to define the third objective function, which was conducted in a few previous studies. Finally, it shows how the developed NSGA-II algorithm in this study performed successfully and reduced the objective function by 31%. Comparing the obtained results using an NSGA-II meta-heuristic approach, through the rigorous method GAMS, indicates that the results are valid and reliable. [ABSTRACT FROM AUTHOR]