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In this article, I have tried to see whether one can find any signs of Mowlavi's influence in the poetry of Hafez. Two considerations have made me deal separately with the form and the content of works of the two poets; a) the deeply static and change resistant nature of the Persian traditional culture, which makes it difficult to say whether one is facing a case of shared culture or one of poetic influence; and b) the need for use of two theoretical standpoints (intertextuality and metaphor v. metonymy) to deal with content and form respectively. The results I have come up with are as follows: 1. As regards the content, one can detect more of an empathy arising from cultural unity rather than any trace of influence of one upon the other. 2. As for the form, one cannot help noticing that Hafez is exceedingly conscious of form, whereas Mowlavi pays little attention to it. 3. Whiltst Hafez leans heavily upon metaphor, Mowlavi is greatly inclined towards metonymy; one tends to ascension, the other to movement forward along the same route. 4. Finally, Hafez does not seem to have made any greater use of the form and content of Mowlavi's poetry with an eye to emulation than of the poetry of other poets, both previous and contemporary with him.

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From 2009 to 2012, 16 species of Curculionidae (Coleoptera) from the subfamily Lixinae were collected on 17 species of food plants in Iranian rangelands. Identified species belong to seven genera in the tribes Lixini and Cleonini. The host plants from which they were collected were in the families Asteraceae, Fabaceae, Apiaceae, Campanulaceae, Brassicaceae and Zygophyllaceae. Of the 16 species that we captured, two (Lixus subfarinosus Desbrochers, 1893 and Larinus remissus Faust, 1889) represent the first records from Iran. These new data also extend the known ranges of several species (Larinus fucatus Faust, 1894, Larinus grisescens Gyllenhal, 1835, Microlarinus rhinocylloides Hochhuth, 1847 and Bangasternus planifrons (Brulle, 1832) in Iran. The distribution of beetles and their associated host plants are presented and ecological notes on each species are provided.

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Abstract Nowadays, due to intense competition, organizations are operating their activities in a dynamic and high uncertainty environment. From a competitive perspective, having continued profit depends on attracting new customers and retaining existing ones. Currently, all the attention has been focused on the relationship with customer and customer is considered as an essential component of the organization. The purpose of this study is to investigate 10 effective factors of Lindgreen Model on Implementation of customer relationship in agencies which belong to Mostazafan Foundation and to rank those effective factors. Lindgreen Model is one of the most comprehentive models for investigating the implementation of CRM. Those effective factors include Information Technology, People, Knowledge Management, Customer Strategy, Culture, Customer Relation Management Processe, Customer Interaction Strategy, Organization, Brand Strategy and Value-Add Strategy. The required data are gathered by distributing questionnaire among 385 customers of Aito and Perspolis agencies, using simple random sampling. The data are analyzed by Kolmogorov-Smirnov Test (k-s Test), Binomial Test and Friedman Test and also TOPSIS and Shanon’s Entropy Model. The results show that the ten factors of Lindgreen model in the implementation of customer relationship management agencies of Mostazafan Foundation are effective but their ranks are different.   Keywords: Customer Relationship Management, Lindgreen Model, Tourism Indusrty

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Introduction: Fish consumption is increasing due to the global population growth. Therefore, taking advantage of new methods such as marine aquaculture can be a reliable source for the production of fish in the world. The purpose of this study is the spatial analysis of marine aquaculture farms in the coasts of Mazandaran province.
Materials and methods: In this study, three categories of criteria (water quality, economic-social and physical-environmental) were considered for spatial analysis of aquaculture farms in the coasts of Mazandaran, which are based on the Geographic Information System (GIS) and hierarchical analysis process (AHP), is used according to the definition of the decision law, and at the end, the existing aquaculture farms (9 farms) are analyzed using the Extract function.
Results and discussion: The results show that the location of the present farms can be transferred to more favorable areas with less risk. Among the existing farms, farms 1 and 2, located on the coasts of Joibar and Babolsar, have the most suitable condition and the highest amount of desirability. Also, the results of weighting between the three groups of water quality parameters show physical and socio-economic; Due to the importance of temperature, turbidity and chlorophyll criteria in marine aquaculture, water quality group has more weight than other groups (0.4034) and then the group of physical factors (0.3808) than social factors. (0.2168) more weight is given.
Conclusion: The findings of this study show the ability of GIS as well as satellite imagery to locate and evaluate marine aquaculture.

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The present study was conducted in order to obtain the necessary information on the diversity, abundance and distribution of macroinvertebrates, as well as to investigate the grazing status of batoid fishes (stingrays) from benthic macroinvertebrtes in coastal waters of Hormozgan province. For this purpose, sampling was done in the years 2017 and 2018 and once every year in the autumn season. At the end of the identification process, a number of 125 genus and 104 species belonging to 85 families, 31 classes, 9 orders, and 7 phyla were successfully identified. Results revealed that Malacostraca was the frequent order in the studied area. In order to investigate the possible relationship between composition and abundance of benthic macroinvertebrte and stingrays, CCA analysis was employed. Results of stomach content of stingrays revealed that in the diet of M. randall, crustacean (93.25 %IRI) has the highest amount. This pattern was the same for M. gerrardi and H. walga. However, in M. gerrardi, bivalvia were in the first place of importance (31.33 %IRI). Also, trophic level analysis was done for three species which shows all species are Mesopredators that place in the same level of food web. According to the mentioned cases, some benthic macroinvertebrates identified in this research have a significant  relationship with the benthic fishes, which requires more studies to investigate their relationship.
 

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A two-year field experiment was carried out in semi-arid region of southern Iran (Shiraz), during 2007-2008 and 2009-2010 growing seasons using various mixtures of an early- (cv Falat) and a middle-ripening (cv Shiraz) winter wheat cultivar to evaluate the beneficial effects of inducing temporal growth heterogeneity on reduction of intra-specific competition during post-anthesis moisture stress conditions. Treatments were composed of five combination ratios of the two cultivars (1:0; 2:1; 1:1; 1:2, 0:1), and two levels of post-anthesis moisture conditions i.e. equal to Field Capacity and 50% FC. The results showed that the equal ratio (1:1 mixed cropping of early and middle-ripening cultivars) was superior in grain yield components as well as post-anthesis water use efficiency (PWUE) among the mixture treatments. It appeared that mixed cropping of early- and middle-ripening cultivars had the potential for altering the intensified competition under deficient moisture conditions and may improve PWUE. Additional research for determining the best choices of cultivars, mixing ratios, sowing date, phenological differences, input requirements, and management practices for each regional environment are essential to achieve the maximum benefits.

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In recent years, the lack of a standard framework and the lack of a proper planning for the location of chain stores have caused most of these commercial locations not to be located according to defined standards; instead of scientific and knowledge-based work, it is mostly arbitrary. On the other hand, in most cases, the method of replacing stores in decision-making institutions is done with traditional methods and without scientific justification, and it is rather experimental and subjective. As a result, difficult access for customers and low sales and profitability have been among its consequences. Therefore, today, one of the reasons of the failure of chain stores is the lack of proper location in this area.
This research is descriptive in terms of purpose and applied in terms of results. In this study, the factors affecting the optimal location of chain stores were graded using interpretive structural modeling.
The geographical territory of this research is Guilan province.
Considering the importance of recognizing the effective factors in the optimal location of chain stores, in this study, first, by reviewing the literature and research background, important factors were identified based on the use of experts in the field of marketing and urban geography; out of about 45 effective factors,17 main ones were identified. In the next step, using a new analytical methodology called “interpretive structural modeling,” the relationships between the dimensions and indicators of the process are determined and analyzed in an integrated manner. The results of interpretive structural modeling showed that the indicators of demographic characteristics of the region, economic factors of customers, and market attractiveness are in the sphere of influence. These indicators have high influential power with minimal dependency which broadens an understanding of the other indicators.
This study presents a model for determining the causal relationships among the variables affecting the location of chain stores. The results of this study help investors and decision-makers in urban geography to choose the most appropriate path for the development of chain stores.