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Otters at the top of the food chain and feeding largely on fish are likely to be especially vulnerable to the effects of bioaccumulating pollutants. This research reports the first data on mercury levels found in hairs of river otters (Lutra lutra) from Iran. Between June and December 2007, we collected museum and recent collections of river otter hair. These samples were collected from several provinces of three major regions of Iran. The mean of mercury concentration for all samples (recent and museum) was 5.819±1.557 mg/kg with 95% confidence interval for the mean. The concentrations of Total Hg (THg) in hair ranged from 0.293 to 12.382 mg/kg. No significant variation among the sample regions existed. A comparison of THg concentrations between two decades (1986-1996 and 1996-2006) showed that these differences were significant (p

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An organization requires careful planning in human resources for its optimal use of human resource. One of the variables affecting HRP is turnover intention. The purpose of this research is planning human resource with emphasis on the influence of moral texture on female employees' turnover intention in a university. This research also examines the role of work values as a moderator variable. Research analysis is based on gathered data from a random sample of two-stage classification. The samples of 210 subjects were determined by Morgan table. For data analysis, ANOVAs test, confirmatory factor analysis and structural equation by using WARPPLS software has used. The results of the interviews show that despite high turnover intention of the organization, staff refused to do so for the reasons such as lack of better alternative jobs outside the organization and also benefiting from public employment. Another finding indicates that the intention of turnover among female faculty members was greater. The results also show that the perception of ethical context has a meaningful effect on turnover intention and moderator role of work value was significant for leaving the organization. However, the relationship and reward value has more effective role on the relationship between ethical context and turnover intention.
 

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The palm tree is a very ancient and sacred tree whose name is often mentioned in the Holy Quran. The historian has described it as the princess of trees. Southerners believe that palm is the only legacy of their family. In the oral history of the Minab, there are many palm trees. The palm plays an important role in the traditions, customs, and beliefs of the people. Palm tree is important in all respects for the inhabitants of the south. He provided food and lodging, as well as wicker industries to use in the affairs of life. By adopting the content –analysis approach and through library based data and interview, this research sheds light on several aspects of this tree and its place in oral literature of Iran (riddle, proverb, idioms, beliefs and songs). This tree has been important for a very long time in the lives of the people of this region and it is not an exaggeration to say that every palm, as a breadwinner, can be part of the family economy. Palm is one of the children of the family and his unit of enumeration. Sometimes, the inhabitants of this region have attributed to it a mortal character.

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Aim: Temperature is one of the factors that can affect the survival of sea turtle hatchlings and nest success. As a critically endangered species, Hawksbill sea turtle nests in several Iranian islands. Few studies have so far been conducted on the effect of temperature on nesting success of this species in the Persian Gulf. The objective of this study is to investigate the effects of temperature on the survival of turtle hatchlings in two nesting areas.
Methods: The temperature of the sand and the nest was recorded and analyzed using thermochron data loggers for several consecutive years from 2019 to 2021, from the beginning of the nesting season until the emergence of hatchlings. The three criteria of incubation success, mortality, and emergence success were chosen as indicators to evaluate nest success.
Findings: The lowest average annual sand temperature was related to Kish Island. The annual average temperature of the nests in Kish and Qeshm Islands showed a significant difference. The Kish nests were at a level higher than the thermal tolerance threshold (33 to 35°C) for less than five days. Examining the success of the nests showed that Kish has a higher than average hatching success than Qeshm, but this result does not hold true for the other two criteria.
Conclusion: Although checking the temperature of the sand and the nest can provide us with useful information regarding the survival of the turtle hatchlings and the implementation of protection decisions, investigating other factors besides temperature can be helpful as well.
 

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Wound healing and skin remodeling occur directly after skin damage, so the use of platelet rich growth factors (PRGF) and probiotics is important to accelerate this process because of their positive effects on wound healing and antibacterial activities. Combination of above biomaterials with tissue engineering techniques led to the production of a new wound dressing. Therefore, in this study, PRGF was obtained from platelet-rich plasma and a multi-layered scaffold was fabricated by electerospining method using polyurethane (PU) fibers, PRGF and gelatin fibers. Scanning electron microscopy (SEM), tensile and water contact angle tests were performed to assess the characteristics of the scaffolds. The human Adipose Mesenchymal Stem Cells (hAMSCs) were extracted and cultured with the fibroblast cells (HU-02) as co-culture cells and Lactobacillus plantarum was cultured on scaffolds with or without PRGF to evaluate cell viability, toxicity and proliferation, then antibacterial activities of L.plantarum were examined. The result of MTT assay after 14 days indicated that PRFG and L.plantarum had significant positive effect on viability and proliferation of co-culture cells. SEM photograph illustrated adhesion and proliferation of cells and bacteria on scaffolds up to 21 days. The Agar-well diffusion test confirmed the antibacterial effect of L.plantarum on Pseudomonas aeruginosa, Salmonella typhimurium, Staphylococcus aureus, and Escherichia coli with strong inhibition zone. The current multi-layered scaffold provides the appropriate wound dressing for cell adhesion, proliferation and prevents wound infection.
 

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Accurate prediction of the sediment load is one of the important issues to water engineering. Due to complexity of sedimentation phenomenon and influence of various parameters on estimation of sediment transport rate, determining the governing equations are difficult, and classical mathematical models are not sufficiently accurate in this regard. In the present study the applicability of Gene-Expression Programming (GEP) for modeling bed load discharge in sewer pipes with different boundary conditions was assessed (i.e. fixed and movable beds). Therefore different input models based on theoretical concepts were defined for each boundary condition. In order to develop the models, under two scenarios, different input combinations were considered, first scenario (Scenario1) which uses only hydraulic characteristics and second scenario (Scenario2) which uses both hydraulic and sediment characteristics as inputs for modeling bedload discharge. The sewer pipes experimental data available in the literature were applied for training and testing the employed GEP. For evaluating the efficiency of the models three statistical indexes which called: Determination Coefficient (DC), Correlation Coefficient (R) and Root Mean Square Errors (RSME) were used. Then the accuracy and capability of several available bed load formulas such as Ackers, Neilsen, May, Mayerle and Laursen were investigated and compared with GEP- best modes in each boundary. Also with considering this point that may there is no information about bed boundary condition and for evaluating the applicability of applied technique for a wide range of data; all data series of sediment transport were combined. Then, for predicting Cv, as the dependent variable, several models of Scenarioa 2 analyzed for the combined data. The obtained results confirmed the efficiency of Gene-Expression Programming method for estimation sediment discharge in sewage pipes, and proved this method superior to the semi- theoretical relationships. According to the results it was found that in scenario 1, for all of the cases, model (IV) with input parameters of Fr and y0/D presented better performance than the others models, however it was observed that Scenario 2, which took advantage of both hydraulic and sediment parameters as inputs for modeling sediment discharge in sewer pipes performed more successful than Scenario1 which used only combinations of hydraulic parameters as input variables for models. Comparison between the results of separate data sets and combined data set revealed that analyzing data sets separately led to more accurate outcome. According to the results from fixed beds, it was found that adding Frm and d50/y as an input parameter increased the accuracy of the models. For both smooth and rough beds, the model with input parameters λs, Frm, Dgr, d50/y presented better results from the RMSE, R, and DC viewpoints (i.e. highest R and DC and lowest RMSE). For movable beds condition in the two cases of separate dunes and continuous loos bedform, the model with input parameters of ys/D, Frm, Wb/y0 showed more accuracy. This model showed the influence of flow depth and width and depth of movable bed in estimating of bedload transport in sewer pipes. For loose beds Frm has dominant role than other parameters.

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