Aims: Positive psychology is a new psychology branch that focuses on positive traits leading to freshness, greater concentration, and individuals' satisfaction. This study aimed to extract positivist psychology components and assess the effect of positivist content and theme on school education and improve teachers' and students' psychological capital.
Materials & Methods: In this hybrid (qualitative-quantitative) research, the first positivist components and themes were extracted from Seligman's point of view using open coding, axial coding, selective coding steps, and a network of positive themes were drawn. Then, to assess the effect of positive psychological components and themes on teachers' competencies and their mental health and students' personal and academic abilities, the opinions of 80 high school principals in Isfahan were evaluated using a researcher-made questionnaire. Data were analyzed by comparison of means and sample t-test using SPSS 19 software.
Findings: 104 basic and five organizing themes were extracted from the texts of the Positive Psychology book written by Seligman; positive emotion empowerment, fascination (flow), positive relationships, meaning (goal), and achievement (success). Also, from the perspective of principals, positivist components and themes had a positive and above-average effect on improving teachers' positive mental characteristics, teachers' mental health and efficiency, teachers' organizational behavior and interactions, and improving teachers' abilities and students' overall progress (p<0.0001).
Conclusion: Positive psychology has practical and useful components and themes to enhance teachers' abilities and mental health and can be taught by teachers in various curricula.

The sound emission of airplanes has some applications such as localization, classification, and detecting fault. Therefore, investigation of issues, which affects the airplanes sounds, is important. In recent years, pollution of dust in all cities of the Iran shows an increasing trend. In the literature, all variables affecting the sound emission such as temperature, pressure, and relative humidity have been investigated, but there are not any researches about the influence of dust on the atmospheric attenuation coefficient. The experimental tests have been carried out with 3 sensitive microphones, 950m away from the takeoff area of Imam Khomeini international airport for 6 different airplanes, including Airbus 320, 319, 321, Boeing 747, 777, and Embraer 190 at different atmospheric conditions. The air temperature was in the range of 20-40˚C and the relative humidity was in the range of 2-34%. At first, the experimental setup was validated by available data, considering different temperatures and relative humidities. In this research, a new variable, β, has been introduced to detect the dust effect, which is defined as: the difference between the calculated sound pressure level at no dust and the measured sound pressure level while the dust density is 1μgr/m³. Airbus 320 has the minimum dust atmospheric attenuation coefficient value (0.01202db*m³/μgr) and its maximum is related to the Embraer 190 (0.0154db*m³/μgr). Finally, the obtained results show that increasing in dust concentration (PM2.5 and PM10) leads to increase in atmospheric attenuation coefficient between airplane and microphones area, and the measured sound pressure level decreases.

In this study, the mechanical properties of one of the most widely used polymeric biomaterials in the body called Poly Lactic Acid (PLA) in the porous state were evaluated. Firstly, the initial regular porous structures, based on the tetrahedron-catheter model known as Kelvin model, were designed for simulating bone tissue, using 3D design software with FDM technique. Afterwards, pressure test was used to determine the mechanical properties and mode of failure. Finally, experimental results were compared with the simulation software analysis results. The results showed that increasing the porosity reduces the strength and the increasing the cell size in a constant porosity results in increased compressive strength. Also, by decreasing the porosity, the amount of the strain up to fracture increases in a relatively constant stress. The brittle failure at 45° in the samples of high porosity was shown. However, the samples with a lower porosity had a relative ductile behavior and as the pressure rises, the cells accumulate on each other and change the form to the fracture point. Comparing the empirical and the simulation results showed that there is a good agreement between them and the simulation model has a high reliability for the porous model.

Introduction:
Faba bean is one of the main winter crops in Golestan province (northeast Iran), with an estimated production of about 106,284 tons of green pods and 7256 tons of dry grain while the harvesting land area  is about 1838 ha. Topographic characteristics, climatic conditions and the soil quality of an area are the most important parameters to evaluate land suitability. To develop successful cropping systems, it is necessary to understand how a crop such as faba bean responds to biological, chemical, physical, and climatic variables, and how this response can be influenced by management. Accordingly, farmers can improve their production in this district, and at the end of the study, the distribution and areas of land suitable for faba bean cultivation in Aq Qala were determined. In addition, this research provides information at a local level that could be used by farmers to select cropping patterns in accordance with suitability results.
Materials and methods:
The study areas of the research include agricultural lands and rangelands of Golestan province  Using 1: 50,000 maps of the national cartographic center of Iran, we created a 20 m digital elevation model (DEM) with a topo-to-raster function. In this study, the first agro-ecological requirements of faba bean were determined according to scientific resources. Several parameters were considered in this study, including the annual average, minimum and maximum temperatures, annual precipitation, slope, elevation, and some soil properties such as organic matter, pH, EC, texture, phosphorus, potassium and calcium. The last 12-year climatic data were gathered from 4 meteorological stations and 21 rain gauge stations in the Golestan province. The mean temperatures were calculated from daily mean minimum and maximum temperature data. The rainfall and temperature data of the whole province were used to interpolate and draw map of annual rainfall, and annual average, maximum and minimum temperature by geostatistical and interpolation methods. The slope and elevation information was obtained from the Digital Elevation Model (DEM) using GIS software. The standardization of data was used from fuzzy method and Analytic Hierarchy Process (AHP) was used for weighting the criteria. Finally, using ordered weighted average (OWA) in the  IDRISI software, faba bean cultivation potential map was prepared.
Results and Discussion
The results indicated that the most important variables, according to their specific weighting, were annual precipitation during the growing season (0.2876), slope (0.5396) and EC (0.3913). The digital environmental layers overlaid and integration in GIS media, then zoning of lands were carried out in 4 classes (highly suitable, suitable, less suitable and non-suitable). The study area includes different classes with diverse capacities for faba been cultivation comprising: a highly suitable potential, which constitutes 55.78% of the total area; a suitable class, 27.82%; a less suitable, 12.23%; and non-suitable, 4.17%. The final maps showed that more than 80% of agricultural lands of township are suitable for faba bean production. This research provides information at a local level that could be used by farmers and decision makers to select cropping patterns in accordance with their suitability. The topography, soil characteristics and climatic conditions were the most important determinant parameters of this evaluation. Our results revealed that 86.60% of the land area is suitable for faba bean cultivation. From the land suitability analysis, it was concluded that, in general, some nutrient contents of the soil are low or high for the study region. In addition, the research results indicated that the main limiting factors are high EC and low rainfall.
Conclusion
In conclusion, a combination of GIS, AHP and OWA is a practical and applicable method for determining land suitability for faba bean crops. In this study, the time-saving during the development of the land suitability map for faba bean was considerable. This method is almost a new application in Iran for land suitability analysis. However, decision makers should consider the side effects of applying these methods in the determination of suitable areas for crop growing. The result in of this study indicated that the OWA is a valuable approach in land suitability assessment, therefore, we suggest that the OWA should be used with AHP in future land suitability evaluation. We recommend that similar studies should use other parameters such as relative humidity, wind speed, solar radiation and heavy soil metals.