Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...

this article is supported by bourdieus theory of literary production. therefore the main question of this research is concerned with the chiasmatic structure of this filed. first of all i start with reviewing bourdieu's theory briefly to use it in further arguments. also i illustrate the polarized structure of the subfield of poetry within iranian literary associations and institutions. ma...

Traditional data envelopment analysis (DEA) models evaluate two-stage decision making unit (DMU) as a black box and neglect the connectivity may exist among the stages. This paper looks inside the system by considering the intermediate activities between the stages where the first stage uses inputs to produce outputs which are the inputs to the second stage along with its own inputs. Additional...

tan spot disease of wheat with the causal agent of pyrenophora tritici-repentis is a very serious  disease throughout the world causing severe yield losses. out of 163 isolates of the pathogen, collected from golestan and mazandaran provinces, 58 were selected for a study of population genetic structure. selecting the real representatives from the whole population was carried out according to t...