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It is crucial to improve the quality of life in marginalized areas, which are the result of unequal urban and regional development and include many problems and shortcomings in terms of inhabitants’ satisfaction of life. This study is aiming to utilize the existing capacities and capabilities of the region and to improve the quality of life in the town using development stimulus projects through descriptive- analytic investigation of quality of life’s current indicators in Dizaj town of Hamedan. The statistical society of the study includes all the population of Dizaj town and according to Morgan table 351 of them were selected for the sample. It has used literature review for the theoretical framework and multivariate regression method to evaluate the quality of life in the neighborhood. In addition, Pearson correlation coefficient has been used to measure the correlation between quality of life factors by using Microsoft Excel and IBM SPSS softwares. The results showed that the desirability status of the indicators in Dizaj town is in order of the quality of transport, physical, economic and social environment. Among indicators of the quality of life, the betterment of the social environment quality has the greatest necessity and share with the weight of 0.7. Other factors are effective in enriching the quality of life in the order of 0.5 (physical environment), 0.37 (transportation) and 0.35 (economic environment). As a result, the injection of the development stimulating projects with socio-cultural approach would be the most effective factor in improving the quality of neighborhood life in the area. [ABSTRACT FROM AUTHOR]

Background: Soybean is an important oilseed crop that its development and production are affected by environmental stresses (such as saline-alkaline and water deficit)., Objectives: This experiment was performed with the aim of identifying candidate genes in saline-alkaline stress and water-deficit stress conditions using transcriptome analysis and to investigate the expression of these genes under water deficit stress conditions using RTqPCR., Materials and Methods: In this experiment, soybean transcriptome data under saline-alkaline and water-deficit stress were downloaded from the NCBI website, and then the co-expression modules were determined for them and the gene network was plotted for each module, and finally, the hub genes were identified. To compare the expression of genes in saline-alkaline and water deficit conditions, soybean plants were subjected to water deficit stress and their gene expression was determined using RTqPCR., Results: The filtered (Log FC above +2 and below -2) genes of soybean were grouped under saline-alkaline stress in 15 modules and under water-deficit stress in 2 different modules. Within each module, the interaction of genes was identified using the gene network, then three genes of ann11 , cyp450 and zfp selected as hub genes. These hub genes are highly co-expression with other network genes, which not only display differential expression but also differential co-expression. The results of RT-PCR indicated that cyp450 gene expression was not significantly different from the control, while ann11 gene expression significantly increased under water deficit stress, but zfp gene expression decreased significantly under water deficit stress., Conclusions: We identified three genes, ann11 , cyp450 and zfp , as hub genes. According to our results, ann11 gene had a significant increase in expression under water deficit stress, which can indicate the importance of this gene under drought conditions. Therefore, according to the results of this experiment as well as other researchers, we introduce this gene as a key gene in water deficit tolerance and recommend its use in genetic engineering to increase the tolerance of other plants., (Copyright: © 2021 The Author(s); Published by Iranian Journal of Biotechnology.)