Objectives:Cognitive flexibility, shame, and emotion regulation difficulties are considered potential mediating factors that may explain the relationship between neuroticism and depression severity. The aim of this study was to examine the mediating role of cognitive flexibility, shame and emotion dysregulation in the relationship between neuroticism and depression among university students.Methods: A total of 271 students (102 males and 169 females) were selected by cluster random sampling from University of Tehran, Allameh Tabataba'i University, and Iran University of Science & Technology. Cognitive Flexibility Inventory (CFI), Test of Self-Conscious Affect-2 (TOSCA-2), Difficulties in Emotion Regulation Scale (DERS), NEO Five-Factor Inventory, and Beck Depression Inventory-II (BDI-II) were used to collect the data. Pearson correlation, multiple regression, and path analysis were applied for data analysis.Results: It was found that neuroticism was significantly associated with depression and all three mediators (P<0.0001). Neuroticism by means of emotion dysregulation was the only significant indirect effect on depression (P<0.0001). First total mediation model had a poor fit to the data, CMIN=87, P<0.0001, CMIN/df=21.75, CFI=82, RMSEA=28.Discussion: These findings suggest that for student depression, emotion dysregulation might be important and future intervention works can examine the effects of targeting emotion dysregulation among university students with high levels of neuroticism and/or depression.

The present research aimed to study the relationship between traumatic experiences and somatic symptoms severity in students. Methods: This research was a cross-sectional study. The study population included all students of the University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. The study sample consisted of 264 healthy adult university students, who were selected using a convenience sampling method. Participants were asked to fill out two self-report measures: Patient Health Questionnaire Physical Symptoms and Traumatic Experiences Checklist. The study data were analyzed using Pearson correlation coefficient and multiple regression analysis. All analyses were conducted using SPSS20. Results: Based on the obtained results, a significant relationship was found between traumatic experiences and somatic symptoms severity (P<0.01). Multiple regression analysis indicated that emotional neglect significantly predicted 23% of somatic symptoms severity (P<0.001). In addition, no significant correlation was found between physical abuse, sexual abuse, sexual harassment, and emotional abuse with somatic symptoms severity. Conclusion: Study results indicated that traumatic experiences, especially emotional neglect, are important in the prediction of somatic symptoms severity.

A one degree of freedom flight motion table is used to simulate the rotational movement of flying objects in hardware‐in‐the‐loop laboratories. This table uses a dual motor driving servo system. Owing to the existence of a gear transmission system, the backlash nonlinear function on modeling is inevitable, system equations are non‐affine and back‐stepping theory cannot handle this kind of system directly. Through new modeling of the backlash function as the summation of certain and uncertain parts, a proper structure for the controller algorithm is created. The controller is constructed through a back‐stepping sliding mode control algorithm. The back‐stepping concept allows the control algorithm to be extended to a high‐order dynamical system. Meanwhile, the SMC could eliminate these system uncertainties as it has a match perturbation with a virtual or real input signal of the subsystem. For non‐measurable variables, a sliding mode observer is also designed. The simulation results clearly demonstrate the superiority of the proposed method in comparison with conventional PID/FO‐PID control methods in angular tracking and speed synchronization.

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The UV‐absorption spectra of cyclo‐1,3,5‐trimethylene‐2,4,6‐trinitramine (RDX) and cyclo‐1,3,5,7‐tetramethylene‐2,4,6,8‐tetranitra mine (HMX) are strongly overlapping and do not allow their direct determination without previous separation by conventional methods. A partial least squares method (PLS) in a multicomponent analysis provides a sensitive and accurate technique for the analysis of complex mixtures with strong overlapping spectra. The experimental calibration matrix was designed with 15 samples. The concentration varied between 0.584 μg/ml and 10.220 μg/ml for HMX, and between 0.400 μg/ml and 8.000 μg/ml for RDX. The cross‐validation method was used to select the number of factors. To check the accuracy of the proposed method, the optimized model obtained by using PLS‐2 was applied to the determination of these compounds in industrial samples.