Background & Aim: New graduate nurses suffer high levels of stress which can lead to unpleasant personal and professional outcomes. The aim of this study was to investigate the role of mindfulness and meta-emotion on predicting Emotional Adjustment in novice nurses. Material & Method: The descriptive-correlative method was used for conducting this research. The Statistical population was consisted of all the nurses in Tabriz. A sample of 120 subjects (60 females and 60 males) was randomly selected, using multistage random cluster. For data collection, Cognitive Emotion Regulation Questionnaire (CERQ), Mindfulness Questionnaire and Meta-emotion Questionnaire was used. The data gathered were analyzed by Pearson correlation and multiple regression, using simultaneous enter method. The data were analyzed by SPSS statistical software (version 21). Results: The Finding indicated that there was a positive relationship between mindfulness and meta-emotion (P<0/01) and between positive Emotional Adjustment and there was a negative relationship between metaemotion (P<0/01) and negative emotional-cognitive regulation and mindfulness (P<0/01). The results showed that through using the scores from mindfulness and meta-emotion components of novice nurses, we can predict the rate of Emotional Adjustment (P< 0/01). Conclusion: According to the results, novice nurse's cognitive emotion regulation can be improved by teaching mindfulness and meta-emotion skills, and through awareness of the emotions, they can use them efficiently and improve their performance.

No abstract

No abstract

A numerical comparative analysis is carried out on heat transfer performance of laminar fluid flow of water/Al2O3 nanofluid in straight, spiral and helical tubes with various cross sections. Circular, triangular, rectangular and square cross-section in an identical length are considered as geometrical variables. Nanoparticles of Al2O3 added into the water (as base fluid) with volume fractions of 0.1-0.7 and it was flowed through different types of tubes, for different Reynolds number. Governing equations on fluid flow were solved based on finite element method. Results show, adding nanoparticles improves heat transfer as well as pressure drop. Among all types of tubes, helical-shaped tube has higher amount of heat transfer and pressure drop compared to spiral and straight. In a specific geometry at constant volume fraction and Re, highest heat transfer and pressure drop is related to the tube with rectangular cross-section. In all volume fractions and sections, average heat transfer coefficient in helical tube is higher than spiral and straight. Although helical tube has better heat transfer performance compared to spiral and straight, pressure drop between outlet and inlet in helical is higher than spiral and straight tubes. As a result, amount of FOM, the ratio of heat transfer to pressure drop, for helical geometry is lower than spiral and straight.

No abstract