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— This paper introduces a comprehensive modeling approach for optimizing the capacities of various energy converters and storage systems within a residential Energy Hub (EH). The model focuses on minimizing energy supply costs to customers while maximizing the utilization of renewable and hydrogen-based technologies. Through the optimization process, we determined that implementing CHP units in the EH could reduce total costs by approximately 78% with green tax incentives and by 46.7% without them. Additionally, the inclusion of an incentive to the EH resulted in a 27.2% reduction in total costs imposed on subscribers. The study also evaluates the impact of uncertainties in photovoltaic (PV) electricity generation, demonstrating the benefits of using stochastic optimization over deterministic methods. The results indicate that the economic advantage of this approach over deterministic methods is 86.75%–95.74% greater, depending on the scenario. Sensitivity analysis further reveals that the investment costs of fuel cells significantly influence the optimal capacity design and economic viability of the EH model. • Proposing a modeling procedure for hydrogen within renewable-based energy hub studies. • Extracting a probabilistic model for solar radiation and ambient temperature. • Presenting various operating strategies in planning studies of residential energy hubs. • Developing a stochastic optimization algorithm for running the proposed model. [ABSTRACT FROM AUTHOR]

Background: Nurses are an important part of the health system, thus it is essential to evaluate the quality of their working life. Based on various studies, positive religious coping has positive consequences such as higher self-esteem and better quality of life. Objectives: The present study aimed to determine the association between religious coping and quality of work life among nurses during year 2015. Materials and Methods: This cross-sectional study was conducted on 285 nurses of four training-therapeutic hospitals (who were selected with the multi-stage sampling method) of Sari city. Data collection tools consisted of a 31-item standard questionnaire of religious coping andWalton's standard questionnaire of quality of working life that included 32 items. Data were analyzed by SPSS 16 using descriptive (mean and SD) and inferential statistics (Pearson and Spearman correlation). Results: Among 285 nurses, 70 (24.6%) were male and 215 (74.4%) were female with an average age of 33 (SD = 6.95; 95%CI: 32.19 - 33.81) years. The mean and standard deviation of religious coping and quality of work life for nurses were 101±16.798 and 85.57±16.769, respectively. Based on statistical test of Pearson correlation, a direct and significant relationship was found between variables of religious coping behaviors and quality of working life of nurses (r = 0.387, P < 0.001). Conclusions: The results revealed that there was a significant association between religious coping and quality of life of nurses, and it seemed that by making efforts to improve the quality of religious coping in this group and by frequent training sessions, the quality of life of nurses can be improved. [ABSTRACT FROM AUTHOR]