The soil-water characteristic curve is one of the most important soil properties used in modeling of water flow in unsaturated soils. This curve is a function of soil texture and structure and for a soil is influenced by the changing of soil structure. Scaling is used for relating properties of different soils using a scaling factor. In this study, we develop a model for the scaling of the soil-water characteristic curve for soils with the same texture and different structures using non-SIMILAR MEDIA concept. The model can predicts The soil-water characteristic curve of a soil using the curve of a soil with the same texture and different bulk density. For evaluating the proposed model, the soil-water characteristic curves of 6 soil samples with different textures under different structure conditions were used. For each soil texture, the soil-water characteristic curve of reference soil was predicted using the curves of other bulk densities. The results show that proposed model has good prediction for low tensions, and by increasing the tension, the prediction error is increased. Proposed model can be used for a wide range of bulk densities.

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.

Habitat suitability prediction for the animals is one of the ways to achieve the conservation goals for biodiversity. In the present study, habitat suitability of Lacerta MEDIA has been evaluated. Based on the maximum entropy result, northwest and western Iran has been predicted as the most suitable for the species presence. Also there are several records of the species presence in Alborz, Markazi, East Azarbaijan and Esfahan provinces that currently situated outside of the suitable predicted region. Precipitation of the coldest quarter with contribution more than 40% was distinguished as the most contributed environmental variable for species presence. Unsuitability prediction of the species presence in central plateau and East Azarbaijan province directly has been influenced by the recent decreasing of winter precipitation. Also, disturbance the habitats of the species along valleys and rivers is the main factors to the decreasing population size of the species. Finally, evaluation the effective factors for species distribution and finding new suitable areas for species presence can help to prevent the species extinction risk in the wild.

There are several methods to synchronize chaotic systems. In this work, we have proposed the adaptive synchronization to study the three interesting systems. These systems are Rö ssler-Rö ssler, Liu-Liu, and Liu-Rö ssler. We have simulated the synchronization of the systems under different circumstances. A numerical simulation of synchronization between the proposed systems demonstrates that the systems can synchronize with this method perfectly even in the presence of unknown parameters. We have deduced that the synchronization speed in the first system (Rö ssler-Rö ssler) is faster than the rest. Also, the second system (Liu-Liu) is synchronized faster than the third system. According to the results obtained in this paper, we can say that the adaptive synchronization works better on SIMILAR systems such as Rö ssler-Rö ssler and Liu-Liu.

In order to determine the role of the US withdrawal from Joint Comprehensive Plan of Action (JCPA) in 2018 in the evolution and change of the poverty framing, this study analyzes how poverty is framed in two categories of specialized (including leadership, Dolat, Mizan, Icana) and general websites (including Fars, Moj and Young Journalists Club) during 2017, 2018 and 2019. For this, it uses Framing as a theory, and the technique of Pan and Kosicki’s Frame analysis as a research method. Findings are categorized in four groups as syntactical, script, thematic, and rhetorical. The review indicates that 42,302 news and reports are distributed in these websites in the research period that 275 were identified as samples and recorded and analyzed in Maxquda software. The results show that, except for the Young Journalists Club, the way poverty is framed has changed on all cases since the imposition of sanctions, and sanctions highlighted as one of the main causes of poverty in the framing of poverty. In regard of agenda setting, the coverage of poverty news and reports is less than 10%; the poverty news coverage has been declining over the three years under study. The websites of Leadership and Moj have the largest coverage, and Young Journalists Club has the least amount (less than 1%) of coverage. Due to his type of agenda setting, the problem of poverty is marginalized in public opinion. The framing of poverty with emphasis on the US withdrawal from JCPA as the cause of poverty represent poverty as a temporary issue, silences the voice of the poor, and depicts the emergence of a new social form in Iranian society.

Scaling methods, which are based on SIMILAR MEDIA theory, are used to simplify the statistic description of soil spatial variations. To simulate the water flow in heterogeneous soils, simultaneous scaling of soil hydraulic functions, including soil water retention and unsaturated hydraulic conductivity functions, is highly desirable. In the SIMILAR MEDIA theory, the simultaneous scaling is expected for geometrically SIMILAR soils. In this paper, it is indicated that although the geometric SIMILARity is a necessity, it is not sufficient for validation of the SIMILAR MEDIA theory in the reality. It is shown that, in addition, the values of Kshm2 (β) must be identical in all SIMILAR soils (where Ks is the saturated hydraulic conductivity and hm is the MEDIAn suction head in the water retention curve). To evaluate the theory, method of Tuli et al. (13) was used which applies the SIMILAR MEDIA theory to the SIMILAR soils of Kosugi and Hopmans (4) with identical σ (standard deviation in the log-normal hydraulic models). The method was also generalized such that it can well scale the soil hydraulic functions of the SIMILAR soils even where the β values are not identical. The theoretical descriptions were tested by data of 26 soils from UNSODA database. The soils were classified into six groups of SIMILAR soils based on the equality of their σ. As it was expected, the method of Tuli et al. did not perform well in the groups in which β values were significantly different. The results also showed that the proposed method can considerably improve the performance of the method of Tuli et al. It was indicated that the performance of the proposed method do not depend on β values and the geometric SIMILARity is the only condition for that.

In the case of large amounts of information, the data should be summarized in such a way that no valuable information is lost. Sufficient statistics are used for this purpose. In this paper, by defining SIMILAR statistics, a method for calculating these statistics is presented. Informative statistics are then defined under several different loss functions. The concept of sufficiency is used to identify two characteristics, SIMILARity and informativeness. Finally, under several different loss functions, in the case of Gaussian observation errors and linear systems, informative statistics are found.