طیبه سادات میر معینی

Nanotechnology is a field of research related to physics, chemistry, engineering sciences with the application of new techniques and production of nanoscale materials and an emerging field in interdisciplinary research especially biotechnology. Camelina is an oilseed and re-emerging plant that requires a lot of research on its oil production process. This study was conducted to investigate the effect of biosynthesized silver nanoparticles on the expression level of FAE1 and FAD2 in Soheil cultivar of Camelina oilseed plant based on a completely randomized design with four replications in 2018-2019. The aqueous extract of Camelina leaf and silver nitrate salt was used to prepare the nanoparticles. Experimental treatments included 0.5, 1, 2 and 3 mg / L of silver nanoparticles. After the preparation of foliar samples for all treatments, RNA extraction, cDNA synthesis and temperature gradient determination, the Real Time PCR reaction was used to study gene expression patterns. Data were then analyzed using GenEX and SAS software. The results showed that the effect of silver nanoparticles on FAE1 and FAD2 gene expression was significant (p<0.05) and the effect was increased with increasing silver nanoparticle concentration. The highest enhancement was observed at 3 mg / L silver nanoparticles.

Quantitative research, based on the positivist paradigm, seeks to provide explanations based on universal rules, and its main purpose is an objective measurement, testing hypotheses, prediction and control. Meanwhile, "performance evaluation" is also one of the four elements of the knowledge of organization and management, which measures and assesses the status quo. So that it can be used as the basis for deciding whether to continue, modify or prevent the ongoing work. Accordingly, identifying the effective indicators on the performance, measuring the performance of the units under evaluation and recognizing their strengths and weaknesses is of great importance. Today, data envelopment analysis (DEA) is a method for comparing and evaluating the relative efficiency of the units under evaluation, that, each has similar multiple inputs and outputs. This paper reviews and analyzes the data envelopment analysis method as one of the best and most widely used tools in quantitative research.