Today’s research on emotion regulation reveals its importance on many mental and physical heath related issues. One of the problems to dysregulation of emotions is anxiety disorders subject. The aim of this research is to identify the relationship between emotional management problems including emotional inhibition, emotional dysregulation and emotional coping on children’s anxiety symptoms, where it includes separation anxiety, social anxiety, panic disorder, school phobia and generalized anxiety symptoms. The sample was consisted of 307 primary students including boys and girls aged between 9-13 years old in city of Isfahan selected by simple random sampling. The instruments were Screen for Child Anxiety Related Disorders (SCARED), child Sadness Management Scale (CSMS) and child Anger Management Scale (CAMS). The results showed that problems of children in management of anger and sadness consist of anger and sadness inhibition; anger and sadness dysregulation predicts anxiety symptoms in children (p & LT; 0.0001). However, emotional coping could not predict children & apos; s anxiety symptoms, significantly. In addition, dysregulation and inhibition of sadness and anger predicts anxiety in children.

A simple, efficient and green one-pot, four-component synthesis of highly substituted polyhydronaphthalenes in aqueous media is described. The method has such advantages as short reaction times, high yields, mild reaction conditions, operational simplicity and environmentally benign.

The productivity of labor and wages are two important variables in the market. Identification of the relationship between the labor and the wages can help policymakers and employers make important decisions about workers' wages. This research uses the statistical data from 1974 to 2014 in Iran to explore the effect of the total labor productivity as well as the productivity of skilled and unskilled labor on the wage level. The results of the research in the long-run indicate that, for the case of skilled and unskilled labor productivity, skilled labor productivity maintained a negative effect on the wage level and the unskilled labor productivity had a positive effect on the wage level. In addition, the total labor productivity had a positive impact on the wage level; the results also indicate that the level of education had a positive impact on the wage level and the impact of government size on the level of wage was negative and statistically insignificant.

Selective oxidation of primary and secondary alcohols to the corresponding aldehydes and ketones was achieved efficiently using K2S2O8/activated charcoal system. All reactions were carried out at solvent?free conditions (40?45 ?C) within 15?60 min to give the products in high to excellent yields.

Fracture parameters of a bi-material plate containing a cener crack and subjected to biaxial tensile loading was calculated numerically. Based on the crack tip stress field obtained numerically in a bi-material joint and using the finite element over deterministic (FEOD) method, the stress intensity factors (KI and KII) and also non-singular T-stress terms, were determined for different material properties and biaxial loading cases. Due to asymmetry of loading and material properties in the investigated dissimilar plate, the center crack experinces mixed mode I/II fracture in general. By increasing the bi-material constant value, which shows the difference between the mechanical properties of two materials, the amplitude of stress intensity factor decreases. The obtained results from this method were in good agreement with the displacment field method prevousiuly reported by other researchers.

This study aims to investigate the effect of risk management on earnings volatility on shares of banks listed in Tehran Stock Exchange. The statistical population includes all 20 listed banks in Tehran Stock Exchange over the period 2009-2015. As the number of listed banks in Tehran Stock Exchange was limited, census method and multiple regressions in panel data were used to collect the data and to test the hypotheses, respectively. In this study, earnings volatility was calculated given in Dichev and Tang (2009) [Dichev, I. D., & Tang, V. W. (2009). Earnings volatility and earnings predictability. Journal of Accounting and Economics, 47(1), 160-181.]. The results indicate that the coefficient of risk management was -0.20 with Sig. = 0.002; therefore risk management maintains a negative effect on banks’ profitability volatility. In addition, stock return coefficient is 0.0053 (Sig. = 0.000) which indicates a positive effect on earnings volatility. The coefficients of dividend ratio, firm size and liquidity ratio were 0.023, 0.071 and 0.059, respectively and they have significant and positive effect on earnings volatility.

Various methods are available to reinforce concrete members and structures. Wrapping the concrete beams with composite sheets is one of the suggested methods for increasing the load bearing capacity of concrete beams and specially those containing opening. In this paper, the influence of using two composite sheets reinforced with carbon (CFRP) and glass (GFRP) is studied on increasing the strength of concrete beams having opening. A number of concrete beams with and without openings were modeled in ANSYS and using the nonlinear analyses, the initial cracking load, ultimate failure load, cracking pattern and deflection were determined numerically for each beam. Different wrapping schemes were examined for increasing the load bearing capacity of the opening section and it was concluded that wrapping from both inside and exterior of opening with the mentioned composite patches provide the most enhancement in the opening zone. Also the CFRP patch showed better performance in comparison with the GFRP wrapping.

During the Covid-19 pandemic, when strict restrictions were imposed to protect public health, e-commerce played a significant role in providing products on time. E-commerce technology and big data analytics enable companies to gain competitive advantages and respond to customers more efficiently. To make e-commerce more sustainable, the three dimensions of sustainability must be met, otherwise it can have negative consequences that lead to ecosystem destruction. Thus, e-commerce must learn how to effectively manage certain aspects of sustainability and adapt its operations to achieve balance. E-commerce's impact on sustainability can be measured in three pillars: economic, social and environmental and achieving a balance among these is the ultimate goal of sustainable development. Although the sustainability issue and big data analytics have gained increasing popularity in recent years, there is still a gap in evaluating applications of big data based on sustainable development indicators. In this study, we used a hybrid multi-criteria decision-making technique combining fuzzy TOPSIS and BWM to assess big data applications in e-commerce considering sustainable development indicators. The results showed environmental sustainability and energy consumption efficiency received the highest weight for the main pillars and sub criteria of sustainability indicators. Coordinating and monitoring supply chain processes, innovating product, process and business models, and creating new products and services are the top three applications of big data in e-commerce considering sustainable development indicators. E-commerce managers and experts can make better decisions about sustainable approaches by prioritizing big data applications based on sustainable development indicators. In addition, the proposed approach can also be used to evaluate big data analytics in other industries that consider sustainable development indicators.

Today, distributing high quality perishable foods is one of the challenging issues in food industry. This paper introduces a deterministic vehicle routing problem model with multiple middle depots and proposes the freshness of perishable foods as a new concept to obtain optimal delivery routes. For the proposed mathematical model, profit maximization of delivering the product, minimization of the transportation costs and vehicle traveling time, and maximum level of delivered product perishability (loss of freshness) are considered. GAMS software is implemented to show the authority of the model. Furthermore, genetic algorithm (GA) has been developed to solve the model for large size instances. Several problems are tested in order to compare the exact and the GA solutions.

In this paper, a backward approach is proposed for maximizing net present value (NPV) in multi-mode resource constrained project scheduling problem while assuming discounted positive cash flows (MRCPSP-DCF). The progress payment method is used and all re-sources are considered as pre-emptible. The proposed approach maximizes NPV using unscheduled resources through resource calendar in backward mode. For this purpose, a Genetic Algorithm is applied to solve experimental cases with 50 variables and the results are compared with forward serial programming method. The remarkable results reveal that the backward approach is an effective way to maximize NPV in MRCPSP-DC while activity splitting is allowed. The algorithm is flexible enough to be used in real project.