فهرست مطالب سید مهدی حسینی

Middle-aged women seem to perform a multitude of tasks in the family which may be very stressful. As a result, and combined with physiological and hormonal changes during menopause, these women may be at increasing. This in turn may result in decreased cognitive abilities. The aim of this study was to investigate the mediating role of mindfulness in the relationship between depression and anxiety with cognitive abilities in middle-aged women. The research method was descriptive-correlational using structural equation modeling. The statistical population of this study included all women between 40 and 60 years old living in Shiraz in the first quarter of 2023. Of these, 331women were available to take part in the study having fulfilled research criteria. Measurement tools used include: Mindfulness, Attention, Awareness Scale(MAAS) (Brown and Ryan, 2003); the Short Form of Depression, Anxiety and Stress scale (DASS-21) (Lavibond and Lavibond, 1995); and Nejati’s (2013) Cognitive Abilities Questionnaire. Data was analyzed by using the maximum likelihood estimation and the Bootstrape Significance Test. Findings showed direct and indirect (with the mediation of mindfulness) significant relationships between depression and anxiety with cognitive abilities in middle-aged women. Also, the direct and negative relationship between depression and anxiety with mindfulness and the direct and positive relationship between mindfulness and cognitive abilities were significant. Therefore, high levels of depression and anxiety and low levels of mindfulness can be considered as negative factors affecting cognitive abilities in middle-aged women.

With the occurrence of recent droughts in the southern cities of Sistan and Baluchestan province, it is of special importance to pay attention to preventive measures that can reduce the drought effects of rural farmers and increase the patience of rural farmers against risks (resilience). Due to the drought phenomenon, food prices usually increase rapidly, which in turn reduces rural access to food. Drought is one of the biggest natural calamities, which is caused by a decrease in rainfall, decrease in humidity, increase in temperature or the simultaneous effect of these factors. This phenomenon has a destructive effect on various economic, social, environmental and psychological aspects of rural communities, and sometimes its intensity is such that it has led to the destruction and poverty of rural communities (Dyke, 2011). It divides drought and its consequences into four economic, social, environmental and psychological categories. Among the economic consequences of drought can be the severe spread of unemployment, the severe decrease in income, the decrease in the level of agricultural production, the decrease in the price of arable and garden lands, the severity of the damages caused to the livestock sector, the decrease in the supply of water needed for agricultural activities, and the decrease in investment. In the agricultural sector, there has been an increase in the price of food, a decrease in drinking water and an increase in the cost of living, while in the social discussion, its consequences include an increase in the motivation for migration, the severity of the prevalence of disease, a decrease in the level of health and quality of life, and a decrease in the level of unity and cooperation among villagers and increased incidence of conflicts (especially for access to water sources). Therefore, the first step to deal with drought and adjust its consequences is to know the deep understanding of its consequences and the dimensions of vulnerability and resilience of rural farmers in order to improve their threshold of tolerance and flexibility, which in most developing countries including Iran It has been neglected (MC Manus et al., 2012). Resilience has the ability to raise the threshold of patience and tolerance of rural farmers against all kinds of natural hazards, including drought, and in the event of a drought hazard, rural farmers will be able to recover after the hazard conditions. Since the southern cities of Sistan and Baluchistan province are one of the main centers of tropical products production and have not been spared from natural disasters such as floods and droughts. Therefore, in this research, the effects of drought risk management were investigated using three economic, social and environmental criteria, each of which had sub-criteria; With this aim, which of the indicators (economic, social and environmental) is the most effective factor in the field of drought risk management? And whether risk management can control and reduce the consequences of natural disasters such as drought and flood, etc.

The present study seeks to identify and prioritize drought risk management by emphasizing the resilience of rural farmers to tropical crops in the region. For this purpose, each of the economic, social and environmental factors and their sub-criteria have been identified by the experts of Jihad Agricultural Organization and Natural Resources Management and to prioritize each of the sub-criteria, FAHP fuzzy hierarchical analysis technique has been used. 42 questionnaires have been completed by experts of Jihad Agricultural Organization and Natural Resources Department of Balochistan region (Khash, Saravan, Nikshahr, Iranshahr, Konarak, Chabahar and Sarbaz). The results in MATLAB software showed that the most important research variable is the economic variable. The current research is descriptive-analytical, which is practical in terms of its purpose, because it seeks to develop practical knowledge in the field of risk management in order to reduce the vulnerability and consequences of drought among rural farmers. In terms of data collection, it was a survey and the required data was collected using a questionnaire. in order to achieve research objectives; The questionnaire created by the researcher was set using AHP and fuzzy AHP or FAHP methods. After checking the validity and reliability of the questionnaire in the form of random sampling among 42 expert experts of the Organization of Agricultural Jihad and Natural Resources in the south of Sistan and Baluchistan province (Khas, Saravan, Iranshahr, Nikshahr, Kanarak, Chabahar, Sarbaz) who are in the field The production of tropical products (bananas, dates, mangoes, chico and guava) has been distributed. In this research, to measure the attitude of experts in order to identify and prioritize drought risk management with emphasis on the resilience of farmers in the south of Sistan and Baluchistan province who produce some tropical products such as mango, banana, chico, guava, date, from the chain analysis process. Hierarchical (AHP) has been used.

In the current research, the effective factors on drought risk management and resilience of rural farmers producing tropical products such as banana, chico, guava, date and mango in the south of Sistan and Baluchistan province regarding each of them using each of the economic, social and environmental variables. This variable has the highest coefficient with the average sum of normalized coefficients of items equal to 0.077. The highest coefficient in the items of this component is related to the item of the intensity of unemployment. The social variable with a total normalized average of items equal to 0.029 is the second variable affecting the factors affecting rural farmers' resilience to drought risk management. Finally, the environmental variable with an average total coefficient of items equal to 0.0158 is in third place. Among the factors affecting the resilience of rural farmers is drought risk management in the province, and the highest coefficient in the items of this component is related to increasing the motivation of migration. Therefore, it can be concluded that farmers are more vulnerable to economic factors. And risk management and resilience in economic fields can be of the greatest help to rural farmers in this region. Proposals are presented according to the obtained results Due to the fact that farmers become unemployed during a drought, it is suggested that the government sector help farmers in this field by using credits given to farmers before, during and after the drought. Provision and support of farmers affected by drought by the public sector, as well as the presence of the private sector in this sector; Because private sector investment is one of the requirements for the progress of societies in this era. In order to prevent the decline in the health and quality of life of the villagers in Baluchistan region, it is necessary to provide adequate support to the health and treatment sector by the government sector so that the villagers do not face any problems in this field. In order to prevent conflicts over water resources in most villages that are engaged in the cultivation of tropical crops, it is necessary to pay more attention to the way water is distributed.

Due to the drought conditions and due to population growth and increased demand for food, today more than ever there is a need to improve water and energy efficiency. In recent years, water-scarce regions (WSRs) have faced many challenges in order to achieve sustainable economic development. Sustainable economic development in the agricultural sector of WSRs is possible by paying attention to the water-energy-food nexus (WEFN) concept. WEFN determined using consumption, physical productivity, and economic productivity criteria of water and energy resources. The present research was conducted in the study area of Sistan Plain for the crop year 2017-2018. Considering that no study has been conducted in this basin in the field of water and energy efficiency using the correlation approach. Therefore, the current research has determined the amount of economic and physical productivity (water and energy consumption) in this basin using a multi-objective planning model. Coding and solving the model has been done using GAMS software. According to the results of the implementation of the water-energy-food correlation model, it has led to an improvement in the efficiency of irrigation water consumption in the study area by 11.37%. According to the results of the model of economic productivity for energy consumption of inputs, strategic products to provide food security and CO2 greenhouse gas emission, respectively (14.3, 14. 1 and 16.02) percent were obtained. Also, the results of the proposed model showed that the physical productivity of water consumption in Sistan Plain has increased from 188899.5 kg/m3 to 211487.5 kg/m3. Therefore, the implementation of the WEFN correlation approach in the study area has led to the improvement of the economic and physical efficiency of water and energy consumption.

The spread of the Covid-19 disease for the past three years has forced many organizations and governments to formulate and implement ways to achieve the ultimate goals of the organization. In this, the role of technology is very important. With technology, all activities can continue. This study explains that technology, organizational culture and job satisfaction in the national hospitals of one district of Tehran are motivations to improve performance, especially during the epidemic.

181 questionnaires were distributed among employees. Respondents must meet the following criteria: at least one year of work experience and at least a diploma. The dependent variable is employee performance. The independent variables are organizational culture, motivation and job satisfaction. Intervening variable is information technology. Due to the presence of intervening variables, research hypotheses were analyzed by PLS factor analysis method and using SPSS version 19 software.

The results of the research show that organizational culture, job satisfaction, and motivation have a significant positive effect on employee performance, and also organizational culture and motivation through information technology have a significant impact on employee performance.

The results of the study can be used as a basis for designing business strategies to improve the performance of employees in a competitive environment to improve the credibility of hospitals.

The question of why different countries vary in terms of  per capita welfare, has always been a fundamental issue in economics. It is generally agreed within the economic literature that the disparity in per capita income among nations cannot be primarily attributed to differences in the production inputs. Instead, it seems that the main discrepancy lies in the total factor productivity (TFP) of each country.Another crucial question is what factors contribute to the differences in TFP. The related literature generally falls into two categories. The first suggests the problem is the lack of advanced technology usage. According to these theories, various factors, including detrimental government businesses in developing countries fail to utilize the recent technologies, which lead to lower TFP.The second, more recent line of thought emphasizes the heterogeneity and disparity of firms within each country rather than considering a representative firm for each nation. The "misallocation" literature builds on the idea that differences in TFP among countries not only depend on individual firms productivity but also on how production inputs are distributed among these firms.This research seeks to answer what factors contribute to the misallocation of physical capital in the Iranian economy. Such an unnderstanding is crucial to address misallocation and move towards optimal allocation, thereby enhancing productivity and welfare. However, it is first necessary to identify what factors cause misallocation as each one demands a distinct solution. Some of these factors are inherently optimal, such as misallocation caused by the firms technology heterogeneity or the presence of physical capital adjustment costs, which do not require any corrective action. In contrast, others result from disruptive government policies and a hostile economic environment that stifle the economy.

In order to address this research question, we utilize a general equilibrium model based on the work of David and Venkateswaran (2019), featuring heterogeneous firms. We estimate the parameters using panel data from industrial workshops from 2003 to 2013 (the most recent data available) and employ the Generalized Method of Moments (GMM). The estimation of structural parameters allows us to disentangle the influences of five misallocation-causing factors. These are: 1. Investment adjustment costs, 2. Information frictions, 3. Distortions, 4. Heterogeneity in firms mark-ups, and 5. Heterogeneity in firms technology. It should be noted that in this model, information frictions refer only to firm's uncertainty about its own future productivity, not macro-level uncertainty.One notable feature of this research is its consideration of several misallocation factors within a single model. As will be discussed further, concentrating on one misallocation factor without considering others could significantly bias estimates of that factor role. By incorporating multiple factors into a unified framework, we can obtain unbiased estimates of each factor. Choosing appropriate moments to match the data and the model is a major challenge in this process. David and Venkateswaran (2019) demonstrate that by selecting five specific moments, the model parameters can be estimated uniquely and without bias.Another strength of this study lies in its use of statistical data from the annual survey of industrial plants. Given the significant differences between smaller businesses and large corporations, along with the former considerable role in employment in Iran,studies based solely on large corporations cannot paint an accurate picture of the Iranian economy.

Our findings indicate that capital adjustment costs, heterogeneity in the production function, and heterogeneity in firms mark-ups are the three primary causes of misallocation in the Iranian economy, accounting for over 80% of the variance in average capital production. Furthermore, the results demonstrate that misallocation has grown during the study period, with a particularly notable increase after 2007 due to the growing impact of disturbances.

Due to the semiarid and arid regions of Iran, it is suffering from water scarcity and severe droughts. Khorasan Razavi province is no exception to this rule, and accordingly it is facing the lack of sufficient water resources, which need to be improved by approaches used for optimal allocation of water resources. Water pricing can be an effective tool of demand management and the optimal allocation of water resources as well the protection of water resources.

Therefore, the aim of this study was to investigate the willingness to pay (WTP) for irrigation water for the cities of Kashmar, Kuhsorkh, Khalilabad and Bardeskan using the Heckman’s two-stage model during 2019-2020.

The results demonstrated that 40 % of farmers were willing to pay more than the current tariff for access to irrigation water. Thus, the mean WTP for irrigation water was 518, 594, 606 and 569 Rials for the cities of Kashmar, Kuhsorkh, Khalilabad and Bardeskan, respectively. The results of the ordinary least squares (OLS) also showed that the farmer's income had the highest positive effect on WTP for irrigation water with a coefficient of 0.21, indicating that the higher the income of farmers consuming irrigation water, the higher the farmers’ WTP for using irrigation water in order to have easier access to water resources. However, variables, such as dependency burden and area of cultivation had a significant negative effect on WTP for irrigation water, suggesting that as the dependency burden, and area of cultivation increased, farmers was less willing to pay for the use of irrigation water. Given the importance of water for the farmers living in the study regions and their high WTP, it therefore is recommended to provide better and easier access to water resources for the farmers by transporting water from the water-rich region to water-scarce one.

Autism spectrum is a neurological disorder that manifests itself in the early years of a child's development. People with autism face challenges in regulating emotions and express their emotional states in different ways. The current research presents a vocal activity detection (VAD) system adapted to the voices of autistic children.

The proposed VAD system is a Recurrent Neural Network (RNN) with short-term memory (LSTM) cells. The data includes 25 English-speaking autistic children performing a structured learning activity and was collected as part of the DE-ENIGMA project.

Our experiments show that the pediatric VAD system performs less well than our generic VAD system trained under the same conditions, as we obtain system performance characteristic curve under the curve (ROC-AUC) criteria of 0.662 and 0.850, respectively. The SER results show different performances between capacity and excitation, depending on the VAD system used, with a maximum match correlation coefficient (CCC) of 0.263 and a minimum root mean square error (RMSE) of 0.107.

Although the performance of SER models is generally low, the pediatric VAD system can lead to slightly improved results compared to other VAD systems and especially the VAD-less baseline, which supports the hypothesized importance of pediatric VAD systems in the context under discussion.

The Karbala 4 operation plan under the title "Special Tactics" was designed by the most elite war commanders after about a thousand hours of work on the maps.This operation started on December 24, 1986, in the axis of Khorramshahr to Mino Island to capture Umm Rasas and Abul Khasib Island and close the road from Basra to Faw, but due to the vigilance of the enemy and the failure to fulfill the principle of tactical and time surprise, it was not defeated. This article tries to answer these questions: Why did the Karbala 4 operation take place? Secondly: What were the reasons for its failure? Thirdly: What effects and results followed? The research method is descriptive-analytical. The findings showed that Iran started this operation to determine the fate of the war and achieve a just peace. Although it could not reach the predetermined goals and the operation was stopped after 8.5 hours. but the effects of that operation were so great that Karbala 4 cannot be counted among absolute failures; because the first essential factor in the complete ignorance of the enemy from carrying out new operations by internal forces and the lack of luck in adopting an efficient defense strategy in Shalamche region; to such an extent that by releasing many forces and leaving the battle area by the commanders, it practically caused the enemy to be completely surprised in the Karbala 5 operation.

Organic honey is a product in which no unnatural pesticides, bioengineered genes or other synthetic products have been used in its preparation and storage, In this research, using the descriptive-analytical method, the influencing factors on the willingness to pay for organic honey in Zahedan city have been investigated using Heckman's two-stage Tobit model. According to the size of the population, a sample size of 384 people has been selected using Cochran's formula. The results show that that with an increase of one unit in the variables of education level, household income, organic badge and certificate, the level of access to organic honey, increased awareness and study of the product and satisfaction with the way organic honey is distributed, willingness to pay for organic honey the order will increase by 0.09, 0.33, 0.08, 0.16, 0.1 and 0.06 units, while the price of organic honey has a negative and significant effect on the willingness to pay for organic honey according to theoretical expectations. So that with one unit increase in product price, the willingness to pay will decrease by -0.17 units. In this regard, it is suggested that the honey producers take the first step to obtain the organic honey mark and certificate, and in the second step, it is necessary to improve its accessibility and distribution method by using the correct distribution methods, and finally by using social media and virtual space should promote people's awareness about the use of organic honey.

Cooperatives have an important role in rural development in a way that they are mentioned as a part of the dynamic and active agricultural environment and as a way to the agricultural world. The studies on the production cooperatives clarified that the cooperatives have a significant role in making important decisions. Agricultural cooperatives are so important in the development of agricultural efficiency that may help to the economic welfare of the farmers. Agricultural cooperatives as one of the most important sources producing agricultural productions are among the suppliers of food security of Iran. According to the statistics and information in this field, nowadays agricultural production cooperative companies provide more than 30% of the products like wheat, barley, rape, sugar beet, cotton, corn and potato. The existing cooperatives have not been that successful so far due to reasons like lack of credit, weak financial basis, inadequate capital, lack of the required training for team work, their inability in omitting brokers and mediators, poor management, the disappointment of the members for the function of cooperative, lack of sufficient expert personnel, law quality of the machinery and poor notification. Regarding the numerous problems of cooperatives, a comprehensive planning for solving the problems is required. These factors result in decrease performance and consequently efficiency drop. The role of management in cooperatives is an effective factor in their efficiency and performance. With the above- mentioned items in mind, estimating the performance of cooperatives in order to compare the managerial abilities of each of the cooperatives, the efficiency of production cooperatives in Khalil Abad, Kashmar and Bardaskan around the province of Khorasan Razawi has been fulfilled.

In this study, random data envelopment analysis with random scenario approach (SDEA) was chosen in order to estimate the economic efficiency of rural production cooperatives in Tarshiz (Plain Khalil Abad, Kashmar and Bardaskan). Analytical Hierarchy (AHP) approach and entropy criterion were used to prioritize the problems of rural production cooperatives in these cities in the management process and marketing system.
Generally, in the common DEA models, the exact data is used for measuring the efficiency of decision units. Since a person who wants to make decision is confronted with risky situation and uncertainty, it is not possible to determine the exact amount of inputs and outputs and this may put the precision of the model under question. In order to solve this shortcoming and enter the risky terms and uncertainty in determining the efficiency of each decision making unit, Random Data Envelopment Analysis can be used.
In this study, the statistical information of the year 2019-2020 which was collected by completing a questionnaire and face-to-face interviews with 220 members of the selected cooperatives. The studied units include 60 rural production cooperatives. For this, Excel, GAMS and Eviews software have been used for their analysis.

This study aims to estimate the efficiency and the effective factors on efficiency of production cooperatives in the above-mentioned cities. In order to follow a set of national policies and fulfill them to reach to a required level of efficiency in cooperatives some actions should be taken. Therefore, in order to provide strong results random Data Envelopment Analysis with random inputs to estimate the efficiency of the cooperatives, separate local studies and categorization based on their efficiency and optimization was conducted. The results showed that the range between the most efficient and the inefficient ones are so wide and with promoting managerial factors from the efficient ones to the inefficient ones, increasing profitability would be possible.
According to the results, the level of efficiency in agricultural cooperatives of these cities is more than average and is relatively efficient. The average of economic efficiency in agricultural cooperatives in the studied areas is 74% and it is possible to promote it up to 26%.
Based on the data collected, there is a direct relationship between CEO’s level of education and economic efficiency in a way that the more educated the CEO, the more efficient the cooperative. Also, the distance of the cooperative from the city center has the direct effect on economic efficiency of the cooperatives. As it is shown variables like the education of the CEO, the distance of the cooperative to city center, participating in training classes and investing in cooperatives have a positive and meaningful effect on the efficiency of the cooperatives. Other factors which were analyzed about efficiency are the number of members in cooperative age and risk taking of the CEO but they were not considerably effective on the efficiency of cooperatives.

The results of random data envelopment analysis (SDEA) showed that the average random efficiency of rural production cooperatives in three cities is 74% and is at a relatively moderate level. The efficiency of private sector cooperatives (83%) is more efficient than the state-managed sector (73%). The results of the hierarchical analysis model (AHP) showed that inappropriate policies in pricing and price fluctuations of agricultural products, low services in the field of packaging, processing, marketing and distribution of products and lack of comprehensive long-term planning by managers (lack of marketing research) are priors in, respectively, the inefficiency of the management process and marketing system of rural production cooperatives in our cities. It is suggested to create an independent unit in the rural production cooperatives of the region in the field of obtaining information about the daily price trends of products in the domestic and global markets in order to reach farmers support the marketing system.

Despite the fact that the concept of piety is the most important educational concept in religious education and there have been researches on the concept of piety and how it is formed; But still, this widely used concept, in terms of whatness, is not precisely known among the common people and the elite. Also, in the field of how to realize piety in humans, there are questions that need to be re-examined; What is the meaning of piety? And what types and levels does it have? And how is it realized in humans? Using the descriptive-analytical method and studying religious texts, it is obtained that piety means avoiding risks; But the self-restraint of a monotheist from dangers, who believes that everything is realized under the will of God Almighty, and exclusive in self-restraint from divine wrath. The concept of piety has been used in religious texts, both as a verb and as an inner meaning. The act of piety is very valuable; But its value increases when it becomes an inner faculty. Self-awareness and correct worldview and constructive thinking make a person, first of all, protect himself from absolute dangers and finally, protect himself from God's wrath, give up his carnal desires and leave the pleasure of sin, and live the hardships of worship and repetition. These self-restraints cause the formation of the faculty of piety in humans.

Identifying the factors that determine the willingness to consume Non-Genetically Modified Organism (Non-GMO) products is an important step before identifying the market needs and marketing these products. In fact, examining the factors affecting the consumption and consumers' tendency towards Non-GMO products and prioritizing these factors can provide a clear and complete image to the planners and policy makers of the agricultural sector in order to have a comprehensive understanding of the level of demand; and the structures that affect it have complete planning to implement the necessary support policies at the required time and fully respond to the needs of the producers and consumers. In this research, the factors affecting the willingness to consume Non-GMO oils in Zahedan city of Iran were investigated using Heckman's two-stage method presented in 2022. According to the size of the population, based on Cochran's formula, a sample size of 300 people was selected in a simple random sampling method, and a researcher-made questionnaire was distributed and collected among them. The results of the probit model showed that the most positive and significant effect in terms of the value of the given total elasticity was related to individual attitude by 0.61; that is, the households would include Non-GMO oils in their shopping basket and replace Genetically Modified Organism (GMO) oils when they have the necessary knowledge about the value and health of Non-GMO oils and are aware of their benefits and harms. After the individual attitude, education has the most positive and significant effect with a coefficient of 0.24, which can be said that the level of education and individual attitude are probably consistent and the level of education can also influence the change of people's attitude towards health. After the two above-mentioned variables, income status of household has a positive and significant effect on the willingness to consume the Non-GMO oils, because considering the high price of these oils compared to the GMO oils, the higher the purchasing power of the household, the greater the willingness of households to consume the Non-GMO oils, which will increase in line with the health of the family. The results of the Ordinary Least Squares (OLS) model were similar to the results of the probit model and showed that the three variables of individual attitude, level of education and income status of household head had the highest positive effect on the tendency to consume Non-GMO oils by 0.33, 0.57 and 0.15, respectively. According to the results, it can be suggested that by informing people in the society and changing people's attitudes as well as by improving the level of education and the income of people, it could be expected that the willingness to consume the Non-GMO oils in Zahedan city would increase.

One of the most important potentials of the agricultural sector according to the weather conditions of Iran is the production of tropical products in the villages of the southeast of the country, which can play a very important role in providing food security, employment and preserving and sustaining the environment of the region. This increases the importance of future research in the field of tropical products. In this regard, the aim of this research is to prioritize the important drivers of the development of tropical products in the rural areas of the southeast of the country (provinces of Sistan and Baluchestan and Hormozgan) in such a way that first different scenarios are determined and then it is tried by presenting strategies. To effectively help stabilize and develop these products in the villages of the region. The current research method is based on prospective studies. In the first step, key factors were identified through deep and targeted interviews with 29 experts in the agricultural sector, and then the information was analyzed by forming a matrix of mutual effects and Micmac future research software, and finally, scenarios using The expert panel method was created with the presence of 29 people and with the Scenario Wizard software. The findings show that among the drivers, six drivers are infrastructure development (transportation, cold storage, road and railway), upstream policies in the field of tropical products, strengthening the export potential of tropical products, using New methods of production, guaranteed purchase of tropical products and branding of tropical products are more effective than their effectiveness. Based on this, it is suggested that in order to develop these products in the villages, spiritual (upstream policies) and material support for the production of these products is on the agenda and by creating infrastructure and introducing new production methods, The field of self-sufficiency and supply of domestic demand for these products is provided and with branding, the field of export of these products is created.

Conventionally, economic corruption is the self-interested behavior of a person who has acted as a government official and is among the destructive damages on the bodies of governments and shakes the government; This phenomenon, while creating disappointment in the people, has led to the creation of a gap between the people and the government and will have direct effects on the stability and stability of the Islamic system. Therefore, it is very important to address the issue of financial corruption and explain the monitoring mechanism to deal with it. The purpose of this article is to examine strategies to deal with economic corruption based on the Supreme Leader's recommendations. The method of the current research is descriptive and analytical, which has been used to collect information through the study of documentary and library sources. The results of the research indicate that in the religious government, like other governments, mechanisms and actions have been designed to deal with economic corruption, the most important of which is the eight-point order of the Supreme Leader to the heads of the forces, the most important of which is the order to The good and the forbidden of the bad, regulation instead of relationship, avoiding discrimination, identifying vulnerable points in the financial and economic circulation of the country, decisiveness while being gentle, entrusting to healthy and trustworthy people, not hesitating those in charge, understanding the dependence and security of the space. Economic is to fight corruption and identify vulnerable points in macroeconomic activities.

Since the fisheries sector is one of the important economic sectors that plays a significant role in providing income and employment for the coastal people of the country. In order to maintain the stability of aquatic resources and access to numerous economic, biological, social and planning goals in aquatic resources, it seems inevitable (Rezaat Kish and Badam Firoz, 2017). One of the important goals in fisheries management is to maintain the process of fishing and harvesting from Aquatic resources and sustainable fishing levels. In order to measure the achievement of goals in the process of sustainable development, a series of indicators should be used. Fisheries management for sustainable development is a multi-dimensional activity that should be investigated in a wide area that requires information and data, or indicators other than fish stocks and fishing activity (Wang et al., 2014). Increasing awareness by economic experts, formulating policies, principles, rules and regulations and also expression of scientific models and strategies appropriate harvested and productivity of natural resources, suitable field for the growth and development of other sectors (industry, commerce, agriculture and services) provided and will lead to a stable outlook in country.

One of the most important management tools and solutions that can play a constructive role in the sustainability of natural resources is the use of advanced economic models. For this purpose, in this research, after presenting a method to estimate the net value of resource extraction, a dynamic model was designed to optimize the extraction values. The Lagrange coefficient method was also proposed as another solution in this research. This method is essential for optimizing resources that are harvested in the long term.Estimating the present value of net benefits from natural resourcesThe present value of net benefits (NPV) in economics is one of the standard methods for evaluating economic projects. In this method, the cash flow of income and expenses is discounted to the daily rate based on the time of occurrence of income or expenses. In this way, in the cash flow, the time value of spending or earning income is included. Net present value in natural resource economics is used to estimate the present value of resource extraction.The exploitation of natural resources due to rapid population growth and meet the basic human needs of growing and developing. This growth in addition to, production technology developed and harvesting of resources in large scale, emphasis to sustainable economic and environmental activities. According to the vulnerable renewable and non-Renewable resources of countries require that exploit them, for removal existing needs in a manner to be achieved that these resources remain sustainable for coming generation. Achieving this goal requires strong leadership on utilization of existing resources in nature. In this regard, the use of dynamic models for determining optimal amount of harvest and right resource management in the short term and long time periods, necessary to proving to be true this goals and the important role in assist to farmers. For the design of the dynamic optimization model was used Lagrange multiplier method In Chabahar area of Sistan and Baluchestan province in 2021. Excel software was used to solve the model.

Today, the exploitation of natural resources is growing and developing due to the rapid growth of the population and meeting the basic human needs. This growth is in such a way that in addition to the development of the technology of production and harvesting of fishery resources on a large scale, it also emphasizes the economic and environmental sustainability of the activities. In this research presented model to determine optimal amount harvest fishery resources in future periods. This model due to changes in discount rates in various periods of time was to be able to allocate resources in a way that in all periods have maximum profit and net benefits. And causes reduce speed to empty store resource and assist to sustainable of resource. The results showed that the storage of a fishery affected by factors such as the amount of storage, the harvest of the source, the discount rate, rate of return on investment and saving rates is a renewable source. Also the result showed that harvest fish from a fishery over 10 periods with fixed-rate of about 0.05 percent, and started from the second year Total value of net benefits in this case is the equivalent of 15.29 million rials. While that after implementing dynamic planning model amount of fish of resource changed of 0.05 to 0.124. After optimization amount harvest of resource, total net present value by model dynamic planning to estimate 22.75 million rials that indicating increase net present value 7.46 million rials regard to present state. Also the net present value of benefits (NPV) of fish harvested during the 10 consecutive periods reduced to increase discount rate and with discount rate cut has increased. In other words, the relationship between changes in the present value of net benefits and the discount rate indirect or reverse. In addition, by increasing and decreasing the rate of return on investment, increase and decrease the amount of storage. This suggests the existence of a direct relationship between changes rate of return on investment and save the fish is over 10 consecutive periods. And relationship between the rate of return on investment and change of net present value of harvesting fish during 10 consecutive periods.In the end, is recommended the use of dynamic programming models due to its flexibility and ability to calculate time series data in order to allocate renewable natural resources during consecutive periods harvesting of resources. The use of these models to determine the appropriate and schedule program for the harvest of natural resource renewable, cause to protection and stability this resources in long term. In the end, the use of dynamic planning models is recommended due to their flexibility and the ability to calculate time series data in order to allocate renewable natural resources during successive periods of resource extraction. The use of these models, in addition to determining a suitable and scheduled program for the extraction of renewable natural resources, causes the preservation and sustainability of these resources in the long term.