r. kamali

Economic stability and security are considered to be the foundation of the national economy and the basic basis of sustainable economic growth. The stability of the economy in a secure economic environment affects economic efficiency and effectiveness and protects it against shocks to the economy.  In this study, we seek to explain the role of economic stability and security in the model of resistance economy of the Islamic Republic. The approach of the present research is qualitative in terms of applied and developmental purpose and in terms of descriptive-analytical method and basic theory. For this purpose, first by taking a library file and then analyzing it, while examining the sanctions, damages, capacities and goals of the national economy, through open and closed interviews with the country's economic experts and the snowball technique. To the extent of theoretical saturation, while explaining the central concepts and categories of economic stability and security related to the model of the resistance economy of the Islamic Republic of Iran, the relationship between them and its conceptual model is presented. Findings show that practical policies providing economic stability and security in the model of resistance economy of the Islamic Republic of Iran in terms of effective time period can be divided into practical policies of repair and improvement, capacity building and resilience They have three dimensions: de-inflation and strengthening the national currency, reducing unemployment and developing employment and economic security, each of which has its own components.

This study aimed to investigate the nutritive value and in vitro digestibility of the silage from five varieties of sorghum involving (ICRISAT623×R165, ICRISAT632×R165, ICRISAT625×165, ICRISAT520×166 and speed feed) in a completely randomized design with five replicates. The dry matter(DM) and crude protein(CP) yield of the sorghum varieties were determined and then were ensiled in plastic buckets. The difference between sorghum varieties was significant in terms of DM and CP content before ensiling. ICRISAT520 ×R166 had the highest DM and CP yield and Speed Feed cultivar had the lowest yield. The results showed that silage cultivars had a significant difference in chemical composition (P <0.05). ICRISAT625 ×R165 had the highest content of fat, water soluble carbohydrates (WSC), and metabolism energy (ME) and Speed Feed had the highest amount of acid detergent fiber (ADF) and ammonia nitrogen (NH3-N). There was a significant difference between 5 cultivars in estimating of dry matter digestibility (DMD), organic matter digestibility (OMD) and metabolizable energy (ME). DMD and OMD in silage of ICRISAT625×625 (57.71% and 54.17%) and ICRISAT625×623 (56.30% and 55.04%) were higher than the rest of the cultivars. The highest ME was observed in ICRISAT625×165(7/8 MJ/Kg) and ICRISAT623 ×R165 (7/6 MJ/Kg). Generally, in terms of fresh consumption ICRISAT520×166 is recommended for cultivating in Golestan province due to higher DM and CP production than other cultivars (18487 and 1400 kg ha-1 respectively), but ICRISAT625 × R165 variety of sorghum silage is superior to other cultivars in terms of ME.

Wars and battles can be categorized and categorized depending on their attitude and approach. But, despite all the divisions, the principles of war are the basis of the strategy of warfare in battlefields; the indicators that affect the principles of war, the typology of armed conflicts, with the consideration of the historical development of wars in components that affect the quality of the battle, in which By changing the strategies and tactics, in accordance with the time and place conditions, a specific version of them is explained and applied, in which the principles of parallel and unconventional battles can be mentioned. The main purpose of this research is "to determine the similarities and differences between the principles of the parallel combat and dissonance of the forces of the Islamic Republic of Iran". In this research, a case study was applied to develop a questionnaire in two stages, and a population of 110 was presented. Results The results were analyzed using descriptive and inferential statistics using SPSS software. The total 31 of battles par Wenna par 28 originally in the fight against the impact of different common Vdvasl concentrating power and eroding the battle to reduce the desire for enemy fighters battle asymmetric definition have filed avoid accepting the rules of systematic (Classic) encouraging the body to fight Hmtrazjayy not , The two conflicts differ in these three principles.

During filling a silo, granular material containing a range of particle sizes, the fine material accumulates under the filling point. The inclined surface of stationary bed particle which is formed in silos during filling process acts similar to a sieve through which the smaller particle fall. This effect is called sifting. As a result of the mentioned effect, much finer particles form a vertical cylindrical zone of high concentration at the silo center. For optimal design in industrial process such as aeration of stored products in silos, filling silos, and wherever granular materials are handled, it is necessary to survey the distribution of the fine materials depending on product and process properties. The objectives of present study were: (a) To study fine change as affected by substantial parameters, (b) To model fine changes at different conditions in silos. In the present study, an experimental setup consist of a main container, elevator, trapezoidal container and experimental silo was designed and built. Fine content was defined by BCFM (broken corn and foreign material). By applying a new approach, sampling was performed in a radial and vertical direction. The position of each sampling point was determined with a scaled distance from center (R) and from bottom (Z). Local BCFM (BCL) was defined as the value of BCFM in each sampling point. Influential parameters namely, initial BCFM (BCI), volume flow rate (Q) and fill pipe diameter (DF) were considered as treatments. Non-linear regression technique was applied on the experimental data to predict the distribution pattern of fines into the pilot-scale silo. The most appropriate model in a try and error procedure was selected based on highest value of R2 and least value of χ2, RMSE and MRDM. According to the results of ANOVA, it was found that the effects of all parameters were significant at 5% probability. BCL decreased nonlinearly with a concave down decreasing trend along radial direction due to sifting effect. As a result, most amount of fines remained in the sections closer to the center of the silo. Fine distribution became more uniform with decreasing Z and increasing BCI and DF. Also, the distribution of fine became more uniform with increasing Q. BCL was a nonlinear function of R and a linear function of Z, BCI, Q and DF. Although including more and complex terms increased the model complexity but in the present study considering BCL as an exponential function of R and as an implicit function of Z and R (ZR) improved the quality of the model significantly. The values of 0.94, 1.14, 1.06, 11.39 for R2, χ2, RMSE and MRDM, respectively, gave the best model. The results showed, considerable accumulation of fines occurred at the center of the silo which increased with increase of level of Z. Also, low concentration of fine occurred at the periphery of the silo especially at higher levels of Z. It means that maximum non-uniformity of fine distribution occurred at higher levels of Z. The present study investigated distribution of fines during filling affected by main parameters namely, initial BCFM, volume flow rate and fill pipe diameter in a pilot scale silo. A new procedure was developed for measuring the fine material along radial and vertical directions. Distribution of fine was modeled using a developed equation considering the effects of main parameters. The results showed that distribution of fine becomes more uniform with decreasing height and increasing initial BCFM, volume flow rate and fill pipe diameter.