Volume 6, Issue 1 (winter 2018)
Abstract
Aims: People usually experience the different ranges of mood states, and the combination of their emotional pretention is great in the same rate. The aim of this study was to compare the theory of mind and false beliefs in patients with major depression disorder, bipolar disorder I, II and healthy individuals.
Instrument & Methods: In this descriptive comparative study, 90 patients bedridden in Ostad Moharari Hospital, Shiraz, Iran, in 2013-2014, including 30 patients with major depression disorder, 30 patients with bipolar disorder I, and 30 patients with bipolar disorder II were selected by purposive sampling method. Thirty healthy individuals were also selected as a control group. "Reading the Mind in the Eyes" test and “Unexpected transfer task” test were used and the data were analyzed, by SPSS 19 software, using MANOVA and Bonferroni post-hoc test.
Findings: The theory of mind in the studied groups was significantly different (P=0.001, F(6, 230)=7.1) in a way that it was significantly different between the major depression group and bipolar disorder I, II with the healthy group (p=0.001), But there was no significant difference among other three groups (p>0.05). The false belief showed no specific difference among 4 groups (p>0.05).
Conclusion: The score of theory of mind in the healthy group is higher than the major depression group and bipolar disorder I, II groups. However, there is no difference in the theory of mind among other three groups. Also, there is no difference in false belief among 4 groups.
M.b. Mohamad Sadeghi Azad , S. behzadipour,
Volume 20, Issue 8 (August 2020)
Abstract
The vortex tube is one of the widely used cooling systems in the industry. Investigating the effect of all input variables on the outlet cold temperature difference in laboratory state is time-consuming and costly. To this purpose, in the current study, attempts were made to model and predict the effect of all input variables on the outlet cold temperature difference of air and inlet air using adaptive neuro-fuzzy inference system (ANFIS) method. The ANFIS method was designed with three structures of fuzzy inference systems called subtractive clustering (SC) algorithm, fuzzy c-means (FCM), and grid partition (GP) with four types of input membership functions including trimf, gaussmf, gbellmf, and pimf. For model training and testing, 326 laboratory data were used. The developed models were compared using statistical parameters of correlation coefficient, mean absolute relative deviation, standard deviation, and root mean square error (RMSD) together with general desirability function. The results showed that GP algorithm with input pimf membership function with the greatest value of correlation coefficient (0.9975) and lowest value of RMSD for test data (0.4199) and general desirability function value of 0.71 is the best method to predict outlet cold temperature difference. Using the above-mentioned method, the most optimum state of vortex tube performance for industrial applications was found to be the use of 3 or 6 nozzels, at the pressure range of 0.55 to 0.6MPa and the nozzle angle of 20 to30 degrees, and for laboratory applications was obtained to be the use of 6 nozzles, at the pressure range of 0.55 to 0.6MPa, and the nozzle angle of 25 to 35 degrees.
Sajad behzadipour, Mohammad Bagher Mohammad Sadeghiazad,
Volume 22, Issue 12 (December 2022)
Abstract
This study has experimentally investigated the effect of Fe3O4 and secondary flow injection on convection heat transfer and friction coefficient on a horizontal pipe. Secondary flow injected to main flow to make more turbulence to five different models. Water and Fe3O4 have been considered in5865 to 18800 Reynolds range and three0.01%,0.03% and0.06% volume concentrations. Length and diameter of test tube considered 65 cm and 1.7 cm, respectively, the diameter of secondary flow injection holes considered 3 mm and 4.5 mm, the ratio of volumetric flow rate to total flow considered 10% and 20% and distance between secondary flow injection holes considered 4 and 2. The results show that the increase of diameter of secondary flow injections holes, the ratio of secondary flow volumetric flow rate to total flow and the decrease of distance between secondary flow injection holes are effective on coefficient of utilization increase. The highest coefficient of utilization achieved 
=20%, 
=2 in each model using water fluid in d=4.5 state. In this state, the mean of coefficient of utilization achieved 1.256, 1.266, 1.31, 1.45 and 1.52 for first, second, third, fourth and fifth models in all Reynolds, respectably. The above state has the highest thermal performance in the fourth and fifth models. The mean of coefficient of utilization in all Reynolds increased 0.91%, 3.97% and 4.98% for the above state in the fourth model using Fe3O4 with three0.01%,0.03% and0.06% volume concentrations to water fluid, respectively. Similarly, this increase achieved 1.58%, 4.56% and 5.66% in the fifth model, respectively.
