Fe5C2 is a recently attentioned iron carbide with high saturation magnetization and suitable chemical inertness that is known to have applications in different fields of engineering and medicine. One of the most important challenges in usage, is thermal stability of iron carbide nanoparticles. In this research, Fe5C2 nanoparticles were synthesized through a wet chemical route. XRD and TEM techniques were used to characterize chemical and morphological features of the sample at room temperature, respectively. TEM micrograph demonstrated the spherical morphology and the average size of the nanoparticles to be 30 nm. Thermogravimetric analysis (TGA) was performed to study the thermal behavior of this magnetic carbide. The activation energy of the phase decomposition was evaluated to be 139. 51 kJ utilizing Ozawa method. After heating, XRD test was repeated to investigate phase changes at high temperature. Finally, X-ray diffraction pattern proved the conversion of Hagg iron carbide to iron and magnetite after heat treatment.

Non-isothermal crystallization kinetics of polypropylene (PP) and PP containing 0.5 wt% singlewalled carbon nanotubes (PP/SWNT) were studied at various cooling rates using differential scanning calorimetry technique. The non-isothermal melt crystallization data were analyzed according to Ozawa and Cazé-Chuah models. Although Ozawa model was successful in describing the nonisothermal crystallization of PP, it failed to do so for PP/SWNT nanocomposite. The results obtained from Cazé-Chuah model show that the model was successful in describing non-isothermal crystallization kinetics of the nanocomposite and the pristine polymer. Using a method developed by Dobreva and Gutzow, it was found that the nucleation activity of SWNT on PP crystallization was around 0.65. This is consistent with the fact that SWNT acted as nucleating agents for PP.

Objective: People who have higher social health can more successfully deal with the challenges and ups and downs of playing key social roles and participate more in collective activities and prevent social deviations and anomalies. In this regard, foresight and the development of a forward-looking strategy model by the media can play an important role in promoting the social health of their audience (individuals).Method: This research has been done qualitatively and quantitatively. In the qualitative phase, content analysis and Q methods were used, and in the quantitative phase, factor analysis was used to analyze the Q method data.Results: The content analysis of the media in this study showed that the most media production in the field of social deviations with 576 cases and the lowest media production in the field of violence with 237 cases. The field of social quality with 485 and the field of social issues with 312 cases are in the second and third ranks. A small questionnaire was made and based on it, the desired model was designed using PLS software. Conclusion: This model showed that the function of media is effective in promoting social health of society and can have the greatest impact on improving quality of life, reducing violence, reducing social deviations and social issues.

In this study, we simulated the effect of trade on Iran's economic growth by using a combination of econometric methods and system dynamics. Through the design of a conceptual framework, an attempt has been made to expand the Ozawa (1965)-Lucas (1988) growth pattern by expanding the Oniki-Ozawa (2015) model. Entering the role of trade through trade volume and foreign investment inthe model, we simulated and predicted the effect of these two factors on the trend of production of goods and knowledge production, human capital index, and innovation indexfor the period of 1359 to 1409 (Solar Year). We used business data from Malaysia and Turkey to analyze a shock and compare the result with Iran's data. The results show that the effect of technology resulting from trade (in the sense of foreign investment) only affecte the technology function, and the growth of technology has a positive effect on the knowledge production function. In addition, trade has not a positive effect on the commodity production function. . Besides, following Malaysia’, s trend of foreign investment to simulate Iran’, s situation is beteer working than the model of Turkey and current Iran’, s model. Finally, the result of forecast for economic growth for the period of 1399 to 1409 indicates a situation of economic recession. With countinuing this situation and sanction, a worst situation is expected.

In this paper we used orthogonal basis functions and expansion coefficients for inverse modeling of magnetic data. The basis functions chosen are normalized eigenvectors of second derivation of the objective function (Hessian matrix) calculate for an initial model. Limited number of basis vectors obtained in this way defines a new subspace in model parameters space. Anew objective function is defined in term of these new parameters and minimized in subspace of original space. As in geophysical inverse problems we need to inverse matrixes that are functions data and geometry of data and model parameters. The matrix inversion in new subspace of the original space will be better conditions due to less dimensionality in the inversion. Since the most significant eigenvectors corresponding the largest Eigen values in Singular Value Decomposition (SVD) of matrixes. Others eigenvectors have less influence in fitting data or lead inversion procedures to local minima. With apply subspace method inversion will be fast and stable against the noise. The efficiency of the method is tested with synthetic and real magnetic data (acquired from Moghan area, north-west of Iran). The results proved fast convergence and stability of inversion against the noise.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs with a business approach and by using artistic forms with a descriptive and analytical method and with a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the businessman 1- Gaining self-knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship with the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the businessman will be facilitated.

One of the obvious reasons for most disorders in network service provisioning is network path congestion. Congestion avoidance in today's networks is too costly and sometimes impossible. With the introduction of SDN, centralizing the equipment's control plane has become possible. This paper presents an enhanced method named ESV-DBRA to avoid congestion in multi-tenant SDN networks. At first, ESV-DBRA monitors the traffic load and delay of all network paths for each tenant individually. Then, by merging the parameters obtained from the monitoring, the Service Level Agreements (SLA), and a novel proposed cost function, it calculates the cost of the network paths per tenant. As a result, traffic for each tenant is routed through the path/paths at the lowest possible cost from the tenant's perspective. Next, the bandwidth quotas will be calculated and assigned to the tenants over their optimal routes. Afterward, whenever congestion is likely to occur in a path, ESV-DBRA automatically changes the route or bandwidth of the tenants' traffic related to this path to avoid congestion. Related algorithms are also proposed.Eventually, simulations show that the proposed method effectively increases bandwidth utilization by 10.76%.