This study examined the psychometric adequacy of Self- Compassion Scale (SCS) among Iranian students. First, a self- compassion questionnaire was translated by two postgraduate students and an associate professor reviewed the corrected Persian form. Finally, it was edited by 30 postgraduate students. After removing the defects, it was used for 619 university students of Islamic Azad- Fars Branch, Islamic Azad University- Shiraz -Branch, Islamic Azad University, Science and Research-Yasooj Branch, and Islamic Azad University Yassouj Branch. Sampling was conducted on volunteer availability. Exploratory factor analysis, finding a six -factor structure of the questionnaire, yielded six factors. The Cronbach Alpha for the scale was 0.86. Overall, self- compassion scale reliability and validity coefficients were regarded Azad being satisfactory. Thus from a homogeneous set of 26 questions that constitute the factor structure was appropriate and eligible for psychological research and clinical diagnostic activities.

This study focuses on the investigation of intelligent form-finding and vibration analysis of a triangular polyhedral tensegrity that is enclosed within a sphere and subjected to external loads. The nonlinear dynamic equations of the system are derived using the Lagrangian approach and the finite element method. The proposed form-finding approach, which is based on a basic genetic algorithm, can determine regular or irregular tensegrity shapes without dimensional constraints. Stable tensegrity structures are generated from random configurations and based on defined constraints (nodes located on the sphere, parallelism, and area of upper and lower surfaces), and shape finding is performed using the fitness function of the genetic algorithm and multi-objective optimization goals. The genetic algorithm's efficacy in determining the shape of structures with unpredictable configurations is evaluated in two distinct scenarios: one involving a known connection matrix and the other involving fixed or random member positions (struts and cables). The shapes obtained from the algorithm suggested in this study are validated using the force density approach, and their vibration characteristics are examined. The findings of the comparative study demonstrate the efficacy of the proposed methodology in determining the vibrational behavior of tensegrity structures through the utilization of intelligent shape seeking techniques.

In this paper, the electromagnetic fields for cylindrical cloak are investigated in detail. The exact wave solution for different regions is derived. For two case of illumination, electric line source inside and outside of cylinder, the scattering fields calculated and validated with full-wave simulations results based on COMSOL Multiphysics. Based on results of this study, the electromagnetic cloak can be used as an electric shield with the least scattering cross section.

Introduction: Infiltration is the most important physical properties of agricultural soils. Infiltration families are general relationships that attempt to categorize the infiltration behavior of soils. Walker et al. (2006) discussed the assumptions and procedures used to develop the original NRCS families. Those families categorize infiltration behavior according to their steady-intake rate and were developed largely from border irrigation data. As such, those families have been more widely adopted in border/basin irrigation analyses than in furrow studies. …

Determination of infiltration equations coefficients with proper accuracy is one of the important issues in irrigation planning. For determination of these coefficients, double-ring test method is usually used which only involves the point and hydrostatic dimension of infiltration. In this research, a parabolic shape furrow was used for simulation of an irrigation furrow with 50 m length, 12 cm depth, and 0. 20 m/m bed slope. Three experiments were performed with lengths of 4. 7, 20 and 40 m, and inflow of 0. 6± 0. 02 lit/s with three replicates. For each length, a test with the minimum measurement error was selected. To determine the infiltration equations coefficients, input and output hydrographs were measured using flow measurement flume and the output hydrographs were routed by Muskingum-Cunje, Zero-inertia and kinematic wave methods. Finally, the infiltration discharge values were obtained by considering the SCS and Horton infiltration equations and the average flow area in the proposed furrows. Computational hydrographs were obtained from the difference between routed output hydrographs and infiltration discharges. Finally, the objective function was derived using the least square method (LSM) for observational and computational output hydrographs. The results indicated that the mean value of the relative error between the observed and optimized output hydrographs of the proposed method is less than 5 percent. By increasing the length interval, the amounts of infiltration discharges decrease due to the reduction of static head water. The efficiency of the model for all lengths was more than 90 percent based on the Nash-Sutcliff criterion which indicates that the simultaneous use of the Horton equation and the zero-inertia method provides the best results.

Introduction: Subsurface flow estimation (SUF) is important in many catchments with suitable vegetation and high soil permeability and plays an essential role in the production of direct runoff in the basin. The concept of SUF in soil is even more complex compared to surface flow, so the presentation of SUF prediction models of basins with simple and practical methods is important. Methods: In this study, SCS and Nash surface runoff precipitation models were used to estimate the subsurface flow of the catchment hillslopes. From the unit hydrograph equations of the two models, which are a function of the subsurface travel time and the amount of penetration, equations were presented to calculate the actual subsurface travel time of the hillslopes for the use of the models. Findings: For verification of the results, the laboratory rain model with the ability to measure the flow rate of surface and subsurface hillslopes was used. The average error of SCS model compared to the laboratory model in estimating surface runoff peak is 7. 8% and in estimating subsurface flow is 6. 7% and the average error of Nash model in estimating runoff peak is equal to 11. 21% and in estimating subsurface flow is 11. 32%. The effect of slope and hydraulic conductivity of hillslopes on SUF hydrograph was also evaluated by two models.

Background: The suicide rate in the military environment is more than the non-military one and military studies have shown that suicides have increased among military staff in recent years. This study was conducted among the soldiers of a military unit to determine psychometric properties of Suicide Cognitions Scale Revised (SCS-R).Materials and methods: In a descriptive-survey, a sample of 300 soldiers from a military unit were randomly selected and studied according to factors such as age, education level and military rank. The survey tools consisted of SCS, Beck Scale for Suicide Ideation (BSSI), Beck Hopelessness Scale (BHS) and Oxford Happiness Questionnaire (OHQ).Results: Results of the correlation analysis showed that the SCS has concurrent validity with BHS (r=0.654, p<0.001), convergent validity with the BSSI (r=0.574, p<0.001) and divergent validity with the OHQ (r=0.783, p<0.001). Also, Confirmatory Factor Analysis (CFA) results showed that all 18 questions have the adequate factor loading and none of the questions were removed. The questionnaire reliability was satisfactory (Cronbach's alpha 85%). Moreover, discriminant analysis of SCS questionnaires could diagnose 100% correctly the healthy people and 97.5% of patients having the history of attempted suicide.Conclusion: Psychological tests, especially in the field of military forces have a great importance. Given the validity of SCS-R about the soldiers, it can be used in the prevention of suicide of soldiers.

Watershed flood hydrograph derivation is one of the most important hydrologic for hydraulic structures design. One of the most widely used experimental models in this context, is the SCS dimensionless unit hydrograph. Also the Geomorphologic Instantaneous Unit Hydrograph (GIUH) model presented by Rodrigoes-Iturb etal. (1979). Simulates the watershed rainfall runoff process based on quantitive geomorphologic parameters and design rain. In this study the performance of above mention methods wasn investigated over one of the Karoon river sub basin so called Jooneghan basin located in Chaharmahal and Bakhtiari province. Geomorphologic parameters were computed by preparing DEM maps and after simulation, the relative performances of the models were compared. The RME in peak flow calculated by GIUH model, was (11%) while the RME residuat mean squane error in SCS method was (22%). The results also revealed that the GIUH model has performed better than SCS model in estimating flood peakato and time b peak.

Considering the lack of hydrometrical stations in most small watersheds, determination of maximum flood discharge requires a suitable method to estimate runoff and peak flow thats used in flood and erosion control management plans. One of such methods is the graphical method presented by Natural Resources Conservation Service of the United States Department of Agriculture. To evaluate the applicability of this method, 19 watersheds in three regions of Iran Vis Karaj-Ghazvin region (region 1), Shomal region (region 2) and Azarbaiejan region (region 3) were selected. Among the different types of rain, type II exhibits a minimum error. The results showed this method had better applicability for estimation of peak flood in Karaj-Ghazvin and Azarbaiejan regions, but was more erroneous in Shomal region.