فهرست مطالب sm .hosseini

Optimal planning and management of electric vehicle parking lots (EVPLs) can be an effective approach for improving the operation of both the distribution system and traffic networks. However, the limited land areas of cities can be an obstacle for constructing a large number of parking lots (PLs). This paper proposed a model for optimal siting and sizing of EVPLs as well as their charging schedule to maximize the total profit of their owners, while maximum parking demand of plug-in electric vehicles (PEVs) can be satisfied. In the proposed model, the purpose of trips, number of PEVs, plus their arrival and departure time in different urban areas are considered. Distribution network constraints are also taken into account using linearized load flow equations. The proposed model is implemented in a 37-bus distribution system coupled with a 25-node transportation network which includes four different areas in terms of PEV travel type. The simulation results show the effectiveness of the proposed model to cover the parking demand of PEVs with a limited number of PLs.

Biosphere Reserves are international natural-biological protected areas that, besides offering protection, showcase achievements such as providing rare study habitats to scientists and demonstrating human skills in support of sustainable development. This study aims to evaluate the participatory management in the protection of Golestan National Park, one of the first biosphere reserves in the country.

This descriptive field research prepared the required data by having the target community, including non-governmental organizations, nature partners, local communities, government forces, and other members of society, complete internet questionnaires. The results highlight the cooperation of nature partners in their desire to participate in community education and in dealing with wood smuggling. Local communities showed prominence in fire prevention, and non-governmental organizations stood out in community education, fire prevention, and combating wood smuggling.

The results indicate a significant difference in participation in community education, firefighting, fire prevention, desire to participate in firefighting, dealing with forest destruction and conversion, dealing with illegal hunting, preventing livestock entry to the forest, and combating wood smuggling among groups.

Therefore, given the significant difference between the groups, it is possible to plan in the field of their interest and participation. Lastly, since society members frequently use social networks like WhatsApp and Instagram, and the target groups have strong membership in environmental groups, this capacity can be utilized in education and participation in the management of biosphere reserves.

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.

This research was conducted with the aim of designing a strategic extension-education theoretical model for agricultural waste management to sustain agricultural development in Mazandaran Province. The statistical population of this study included experts, gardeners, and farmers in Mazandaran Province, among whom 30 people were selected using the purposeful sampling method and snowball technique. A semi-structured interview was conducted to collect research data. The data collection process continued until the theoretical saturation level. A qualitative data analysis was performed using MAXQDA12 software. Analyzing this model showed that factors affecting agricultural waste generation consisted of five categories as, respectively, farming practice, market and transportation, processing procedures, agricultural and natural and support policies, based on their impact factors. In addition, 12 factors within these categories affected the establishment of agricultural waste management extension education were identified. Based on their impact factors in the model, these categories included class participation, food processing industry development and expansion, general knowledge and information about agricultural waste, appropriate farming practice education, educational workshop participation, farm visits, farmers and gardeners education, listening to the radio and TV educational programs, group discussion participation, transfer of new applied waste management technologies, and contact with agricultural extension agents, respectively. Therefore, it is highly recommended to put in action the theoretical model provided in this research for the sake of agricultural development in Mazandaran, Iran.

This study aimed to evaluate the effect of Vacuum Non-thermal Plasma (VNP) on surface decontamination of pistachios. Food safety is considered as a critical issue in food industry, and detoxification is an essential step during food processing. VNP is an effective method on decontamination of food and food processing. In this experiment, the ability of VNP to inactivate highly resistant indicator bacteria Geobacillus stearothermophilus and pistachio contaminating microorganisms was investigated. Firstly, the effect of Vacuum Non-thermal Air Plasma (VNAP) on G. stearothermophilus was investigated at power of 30, 50, 70, and 90W for 10, 20, 30, 40, and 50 minutes. The results indicate that the minimum dose of VNAP to completely inactivate G. stearothermophilus was 30 minutes and 50W. So, it can be considered as an Optimum Dose (OD) for VNAP treatment. Thereafter, OD was used to investigate the effects of VNAP and then Nacuum Non-thermal Oxygen Plasma (VNOP) on pistachio contaminating microorganisms. The pistachios samples exposed to VNAP in OD (50W for 30 minutes) showed 1.0 log microbial reduction, while the samples exposed to VNOP in OD showed 2.0 log reduction. Both VNAP and VNOP applied significantly decreased microbial load of pistachios, however, VNOP was more effective than VNAP. Therefore, VNOP in 50W for 30 minutes can be chosen as an OD. Pistachio samples were also analyzed by physicochemical properties in OD. In conclusion, VNP was found to be effective on decontamination of pistachios, with no significant effects on its properties.

In this paper, the mechanical fracture problem of a half-plane made of functionally graded material (FGM) with a coating of a homogeneous layer containing multiple interface cracks is investigated in order to determine the dynamic stress intensity factors (DSIFs) under transient in-plane loading. According to exponential law, the properties of functionally graded material change continuously along y-direction. Initially, integral transformations and dislocation of the Volterra type of climbing and sliding edges on the interface of a FG half-plane with a homogeneous coating leads to the numerical solution of a system with singular integral equations. These equations which have the Cauchy type-singularity are then obtained using the distributed dislocation technique (DDT). Using the inversion technique in the Laplace domain, the dislocation density on the crack faces is obtained which has led to the determination of the DSIFs. Finally, in order to show the accuracy and validity of this research, the final results in the form of graphs have been compared with other references and a very acceptable conformity has been observed. The influences of the FG parameter, coating thickness, crack length, the variation of time and the interaction between of cracks on the DSIFs are studied.

In this paper, the effect of magneto-hydrodynamic flow on two aerodynamic geometries (2D & 3D) is investigated. The results (Lift and drag coefficients) for two and three-dimensional geometries, which have been tried to be similar to rocket wings, at high altitudes where the pressure is high and the temperature low, as well as Machs at 6 and 8 and at 9 different angles of attacks, are obtained in two modes with and without magnets. At the end, it was observed that adding a magnet to the problem increases the lift coefficient which maximum increment (77.5%) occurred for 3D geometry at Mach 8 and 50000 m height. Also, comparing the two-dimensional and three-dimensional geometries, it was observed that the stall angle did not occur in the two-dimensional geometry at 9000 altitude and Mach 6, but in the three-dimensional geometry and the same conditions, the stall angle was observed for the non-MHD mode, which is due to flow line of two-dimensional geometry. However, it was further observed that this angle was delayed by adding a magnet to the 3D geometry with the mentioned solution conditions.

This research aims to investigate a fault detection method applicable to the stator part of the Brush-Less DC motor (BLDC). Indeed, it is a concern to make sure the motor is operating in a healthy mode, and in any other case, it is of great importance to detect the fault as soon as possible to prevent the further ruin of the major system. Regarding this, a sub-branch method of the Wavelet Transform (WT) analysis, named Continuous Wavelet Transform (CWT), is utilized to observe the short-circuit fault in the stator coils. Thus, a novel simulator of the BLDC motor is developed by making an interconnection between ADAMS and MATLAB in which different electrical and mechanical components are included. Therefore, a close-to-reality model of the BLDC motor is achieved, leading to a more accurate evaluation of the proposed method. An energy-type feature will be suggested to characterize the fault happening. Through acquiring the normalized energy amount for one of the Wavelet Coefficient (WC) signals, obtained by the CWT, and comparing the energy with a predefined threshold amount of energy for that signal, it is feasible to detect the stator's flawed performance. By conducting different simulations, the proposed method will be validated.

Along with the steady growth of the population, the widespread use of systemic fungicides, which leads to increased productivity and higher yield of food products, has been given a lot of attention. Therefore, considering the cytotoxic effects of systemic fungicides tricyclazole and thiophanate methyl, the present study was conducted with the aim of investigating the neurotoxicity caused by the use of fungicides tricyclazole (TCZ) and thiophanate methyl (TM) in Wistar rats.

In this experimental study, 32 male Wistar rats were randomly divided into 4 groups of 8 including: control group, groups receiving pesticide mixtures orally at doses of (A) TM 664 + TCZ 25, (B) TM 498 + TCZ 19 and (C) TM 332 + TCZ 13 (mg/kg body weight) and brain tissue sampling was done after 28 days. Nissl and hematoxylin-eosin staining were used for qualitative assessment of pathological lesions and quantitative counting of brain cells.

In the histopathological examinations of the groups that received toxins, it was observed that the neurons became necrotic, and the increase of microglia cells in the hippocampus and cerebral cortex was also observed. The results of cell counting indicated the lowest number of neurons in group A in the cerebral cortex (171.40±4.88), CA1 (152.80±5.99), CA2,3 (127.90±8.36) and CA4 (59.20±3.86), which showed a significant decrease compared to the control group (p<0.05).

The results of the study showed that the mixture of tricyclazole and thiophanate methyl caused damage to brain neurons in the cerebral cortex and different areas of the hippocampus and subsequently caused a decrease in the number of neurons in these areas; Of course, the amount of damage was directly related to increase in the dose.

Chemically injured veterans are very vulnerable because of their special situation, and they may confront numerous difficulties. Body composition is one of the effective factors in mental health in adults. So, this study aimed to survey the correlation between body composition and body mass index with mental health and sleepiness in chemically injured veterans.
Instruments &

This cross-sectional study was conducted on chemical veterans referred to the rheumatology ward in Karaj province. 131 patients were selected through the available sampling method. The body composition and body mass index of veterans were determined, and General Health Questionnaire and Epworth Sleepiness Scale were answered. Data were analyzed using the Pearson correlation coefficient by SPSS 19 software.

There was a significant correlation between body fat percent and fat mass with total general health (p=0.004). The correlation between body composition and sleepiness was not significant (p>0.05). There was no significant correlation between body mass index with mental health and sleepiness (p>0.05).

Body composition, particularly fat percent and fat mass, is associated with general health in chemically injured veterans.

A new hybrid variational model is presented for image denoising, which in-corporates the merits of Shannon interpolation, total generalized variation (TGV) regularization, and a symmetrized derivative regularization term based on l1-norm. In this model, the regularization term is a combination of a TGV functional and the symmetrized derivative regularization term, while the data fidelity term is characterized by the l2-norm. Unlike most variational models that are discretized using a finite-difference scheme, our approach in structure is based on Shannon interpolation. Quantitative and qualitative assessments of the new model indicate its effectiveness in restoration accuracy and staircase effect suppression. Numerical experi-ments are carried out using the primal-dual algorithm. Numerous real- world examples are conducted to confirm that the newly proposed method outperforms several current state-of-the-art numerical methods in terms of the peak signal to noise ratio and the structural similarity (SSIM) index.

Pastures provide an important part of ruminant fodder needs, and farmers store some pasture plants to use in winter-feeding of livestock. Therefore, having enough information about the nutritional value of such plants can help to optimize their consumption in animal feeding. Completing the information on the good-quality plants adapted to different environments will help to use and develop these valuable resources in a better way. In addition, it may be possible to improve rumen fermentation by aromatic pasture plants. Adiantum capillus-veneris (Adiantum) and Salvia officinalis L. (Salvia) are valuable genetic resources in pastures that are also used in livestock feeding. Due to the presence of plant secondary metabolites, they may improve rumen fermentation. However, there is little information on the nutritional value of Adiantum. Some information is available on the chemical composition of Salvia species (especially the leaves) and the effect of its essential oil on the rumen, but data on the use of the whole plant as forage are limited. Therefore, this study aimed to assess the nutritional value of Adiantum and Salvia compared to alfalfa, and the effect of including different levels of them in the diet on in vitro ruminal fermentation variables and digestibility.
The experimental pasture plants (Adiantum and Salvia) were obtained in July, after flowering, from the pasture of Safrin village located in the rural district of Rajaeedasht in western Alamut (Qazvin, Iran). In experiment I, the chemical composition of the fodders was determined by the standard methods, considering alfalfa as the control forage. In experiment II, the effect of different dietary levels of the fodders was assessed using in vitro gas production technique with five treatments including 1. A diet without the rangeland plants (control diet), 2. A diet containing 15% of Adiantum, 3. A diet containing 30% of Adiantum, 4. A diet containing 15% of Salvia, and 5. A diet containing 30% of Salvia (on a DM basis). The in vitro digestibility, fermentation variables, microbial biomass production (MBP), total antioxidant power (TAP), protozoa numbers, and methane production were determined. The gas test was performed in three replicates and two runs, and data were analyzed using the GLM procedure of SAS.
According to the results of experiment I, Adiantum and Salvia had higher ash compared to alfalfa (P<0.05). The crude protein and digestibility of Adiantum were lower than Salvia and alfalfa (P<0.05). The lower digestibility of Adiantum could be due to its higher lignin and ash and the lower crude protein concentration. Therefore, when consuming Adiantum in diets of high-productive ruminants, it is necessary to pay more attention to the use of energy supplements. Compared to alfalfa, the in vitro fermentation of Adiantum and Salvia resulted in higher in vitro ruminal MBP and TAP and lower ammonia-N and protozoa population (P<0.05), due to the presence of plant secondary metabolites such as phenolics, tannins, flavonoids, anthocyanins, and terpenes. The results of experiment II showed that the inclusion of Adiantum and Salvia in the diet had no significant (P>0.05) effect on in vitro gas production, organic matter digestibility, and metabolizable energy. Dietary use of Salvia, however, enhanced truly degraded substrate (P<0.05). Sometimes, high amounts of secondary metabolites in plants may have negative effects on the rumen but the amounts of metabolites in the pasture plants used in this study were not so high as to hurt rumen microbes and digestion. Dietary inclusion of Adiantum and Salvia improved in vitro TAP and decreased protozoa population, methane production, and acetate to propionate ratio (P<0.05). The lowest methane production was observed for the diets containing Salvia. The positive effect of the rangeland plants on in vitro TAP was because both plants contain significant amounts of various secondary metabolites (such as phenolic compounds, flavonoids, and terpenes) that are known to be favorable and high-capacity antioxidants. These plant metabolites can remove free radicals, bind transition metals (such as free iron), remove active oxygen from the environment, induce antioxidant enzymes, and reduce and moderate the conditions of oxidative stress and destruction. The reduction of methane release using Adiantum and Salvia in the diet was probably related to the fact that plant secondary metabolites destruct the protozoa or interfere with their metabolic pathways. In addition, they may inhibit methanogenic and hydrogen-consuming bacteria or hydrogen-producing Gram-positive bacteria. The dietary addition of Adiantum and Salvia improved in vitro ruminal MBP and decreased the ammonia-N concentration (P<0.05) compared to the control diet. The result could be due to the reduction of the protozoa population, causing a decrease in nitrogen recycling in the rumen and a decrease in bacteria predation. The formation of phenolic-protein complexes can also be another possible reason for reducing protein breakdown and ammonia concentration. Moreover, as rumen protozoa are reduced, the bacteria will have fewer natural predators and their population (reflected in the higher MBP) will increase, improving the degradation of feed ingredients. The inclusion of Adiantum and Salvia in the diet did not affect in vitro pH, total volatile fatty acids, and partitioning factor (P>0.05).
It is possible to include whole plants of Adiantum and Salvia in the diet, up to 30% DM, without adverse effects on digestibility. It also improves diet efficiency by increasing in vitro ruminal MBP and TAP and reducing methane and ammonia production.

In this paper, a robust optimization method is developed to solve the Satellite Launch Vehicle (SLV) trajectory design problem in the presence of uncertainties using a powerful Particle Swarm Optimization (PSO) algorithm. Given the uncertainties such as uncertainties in the actual values ​​of aerodynamic coefficients, engine thrust, and mass in the ascent phase of a SLV, it is important to achieve an optimal trajectory that is robust to these uncertainties; because it improves the flight performance, reduces the workload of the guidance-control system, and increases the reliability of the satellite. For this purpose, first the optimization problem is considered by using the criterion of minimizing the flight time of the SLV as a cost function, and three-dimensional equations of motion as constraints governing the problem. Then, by adding the mean parameters and the standard deviation of uncertainties in the cost function, a robust optimizer model is developed and the algorithm is used to numerically optimize the model. Monte Carlo's perspective has also been used to analyze the results of uncertainties and their continuous feedback to the optimization model. Finally, the optimal trajectory is obtained that is robust to the uncertainties. The resulting simulation results show the accuracy of this claim.

Investigating community preferences about natural forest parks ecological services and determining their economic value is a useful method for planning and managing them. The purpose of this study is to the economic valuation of Chaldarreh Forest Park ecological services in Tonekabon County, Mazandaran province, Iran. Research data were collected by field survey, and random sampling by completing a Choice Experiment questionnaire by 135 visitors to Chaldarreh Forest Park. In this study, the willingness to pay of individuals for forest ecosystem conservation was estimated by the Choice Experiment method and conditional logit model. Also, a multinomial logit model was used to investigate the effect of socioeconomic variables on the willingness to pay. In this study, willingness to pay each household for the conservation of ecological services in the region, including the attributes of plant species conservation, animal species conservation, water protection and soil protection from the status quo to the improvement situation, respectively, equal to 21560.15, 15880.47, 47440.6 and 21180.85 Iranian rials per month have been estimated. Water protection was the most important ecological attribute of Chaldarreh Forest Park known to the respondents. Also, the final willingness to pay each household for the conservation of ecological services of Chaldarreh Forest Park was estimated to be 106080.07 Rials per month.

In order to investigate the effects of humic acid and Fe nano-chelate on improvement of vegetative characteristics, seed yield and essential oil content of black cumin (Nigella sativa) under drought stress an experiment was done during two cropping seasons (2018-2019 and 2019-2020) in Agricultural and Natural Resources Research Station of Eghlid. The experiment was conducted as a factorial split plot in a randomized complete block design with three replications. The main plots were irrigation at three levels (50, 75 and 100% of available water), humic acid at three levels (0, 250, and 500 mg/l) and nano-Fe chelate at three levels (0, 1 and 2 g/l). The results showed that drought stress reduced the vegetative and yield traits. The interaction of humic acid, nano-Fe chelate and drought stress showed that the highest yield with 1036.7 kg/ha was observed in plants treated with 500 mg/l humic acid and 2 g/l iron nano chelate with 75% water available use. Also, the highest essential oil, seed oil, and leaf protein content was observed in plants treated with 500 mg/l humic acid and 2 g/l iron nano chelate with 100% usable water. As a conclusion, application of humic acid and nano-Fe chelate leads to the improvement of vegetative and chemical factors of black cumin in under drought stress conditions

Design optimization of structures with discrete and continuous search spaces is a complex optimization problem with lots of local optima. Metaheuristic optimization algorithms, due to not requiring gradient information of the objective function, are efficient tools for solving these problems at a reasonable computational time. In this paper, the Doppler Effect-Mean Euclidian Distance Threshold (DE-MEDT) metaheuristic algorithm is applied to solve the discrete and continuous optimization problems of the truss structures subject to multiple loading conditions and design constraints. DE-MEDT algorithm is a recently proposed metaheuristic developed based on a physical phenomenon called Doppler Effect (DE) with some idealized rules and a mechanism called Mean Euclidian Distance Threshold (MEDT). The efficiency of the DE-MEDT algorithm is evaluated by optimizing five large-scale truss structures with continuous and discrete variables. Comparing the results found by the DE-MEDT algorithm with those of other existing metaheuristics reveals that the DE-MEDT optimizer is a suitable optimization technique for discrete and continuous design optimization of large-scale truss structures.

The present study was conducted to evaluate the effect of oral calcium supplementation in the postpartum period on milk production and composition, animal health  and reproduvtive performance. For this purpose, forty-two Holstein lactating cows were selected and divided into two groups: control (twenty-one cows, without any calcium bolus) and treatment group (twenty-one cows,43 g oral bolus immediately after calving). The results showed milk yield and composition (fat and protein), and milk somatic cell count were not affected by oral calcium bolus. The incidence of impending diseases in this group of cows such as metritis, mating and abomasum reversal in the experimental group was lower than animals that did not consume calcium bolus (odds ratio (OR) = 0.13). It is also worth noting that in the case of reproductive indices, the mean of open days in the treatment group decreased compared to the control treatment but was not statistically significant. There was no difference in body condition score at the time of insemination in the control and treatment groups (P <0.05) and the mean number of inseminations per pregnancy in the treatment group was not significant compared to the control treatment (P <0.05). In general, with proper nutrition management during the close up with diet DCAD controling, it is possible to pass the transfer cows without consuming calcium bolus, and also to avoid increasing costs.

One of the most important problems in the agricultural sector is the lack or deficiency of processing of agricultural products; however, in processing two products including sugar beet and sugarcane, Iran has a suitable position in the world, being able to expand this activity by creating the necessary infrastructure and attracting private and public investments through the capital market, and provide the ground for relative self-sufficiency in sugar industry. In the present study, by examining and identifying macroeconomic variables affecting the stock returns of the sugar industry in the Iranian Stock Exchange in the period 2010 to 2019 using the genetic function approximation algorithm, the effect of shocks of these variables on the returns of such stocks was examined using panel vector auto-regression method. The study results showed that among the six macroeconomic variables, the variables of government exchange rate, OPEC oil prices and liquidity volume had significantly positive effects on the stock returns of the sugar industry, so that with the increase of these variables, the incentive to invest would increase in the sugar industry; however, land prices had a significantly negative effect on the stock returns of the sugar industry, because with the increase in prices in the land market, the incentive to invest in this market would increase and, consequently, investment to buy shares in the sugar industry would decrease. According to the impulse reaction functions, the reaction of the sugar industry stock returns to the government exchange rate was initially negative and then, from the second period onwards, increased, and the sugar industry stock return reaction to the OPEC oil price shock have been effective and upward up to five periods; and also, the reaction of the sugar industry stocks to the shock of the variables of liquidity volume and land prices at the beginning of the period was upward and then, from the third to the fifth period, was downward. According to the study results, it is suggested that with the increase of government exchange rate, OPEC oil prices and liquidity, the management of the sugar industry should try to attract more financial resources from the capital market so that with more investment, it could pave the ground for the development of this industry and self-sufficiency in processing of this strategic product. Policymakers are also advised to prevent capital outflows by controlling price fluctuations in parallel markets.

Central ignition is one of the main ideas of inertial confinement fusion in which the target is irradiated symmetrically and uniformly by laser beams. The study of target layer design using hydrodynamic codes is very important in improving target performance and fuel gain. Therefore, in the present study, we investigated the optimization of a typical spherical target with a polystyrene ablator by using MULTI-IFE hydrodynamic code. Considering the remarkable physical properties of diamond, it has been used to optimize the ablator layer. This target was irradiated with symmetrical laser beams with 1.7 MJ total pulse energy and peak power of about 600 TW. The results show that the optimal thickness of the diamond is about 18 mm. A diamond ablator increases the absorbed laser energy at the target surface by about 16%. Increasing the absorbed energy leads to an increase of about 4% in the maximum temperature of the ions, and as a result, the fuel burn fraction increases by about 1%. Eventually, fuel gain increases by about 9%.

As one of the vital components of life, water is essential for many economic activities. The assessment and monitoring of groundwater quality has always been a major challenge associated with special problems. Taking into account the decline in the level of groundwater in most of Iran’s plains including Yazd-Ardakan plain, and its effects on groundwater quality, the present study uses a non-parametric Mann-Kendall test to investigate the trend of changes in the vriables of groundwater quality in Yazd-Ardakan plain and to estimate the slope of trend line by Sen’s slope estimator. 

Yazd-Ardakan Plain is one of the widest plains in Iran. In this research, the statistics and information about 25 sources including 12 wells, 12 qanats and 1 spring during a 10-year statistical period (2004-2014) has been used. To study the trend in time series, many parametric and nonparametric statistical methods have been developed and widely used by various researchers. Mann-Kendall method was initially developed by Mann (1945), and then by Kendall (1970). The null hypothesis in Mann-Kendall test implies randomness and lack of trend in data series, and confirmation of hypothesis one (rejection of the null hypothesis) indicates the presence of a trend in the data series. A very useful index in Mann Kendall test, Sen’s slope estimator shows the linearity of trend. 

Groundwater is considered as one of the important biological parameters; therefore, the monitoring and evaluation of groundwater quality change is a significant issue. Overall, of all the studied parameters, the parameters of total dissolved salts, sodium absorption ratio and electrical conductivity had very large positive slopes compared with other parameters. This represents a significant increase in the concentration of sch parameters during the period of investigation. 

In this study, the trend of changes in some groundwater quality parameters in Yazd-Ardakan plain in Yazd province was studied by using Mann-Kendall’s nonparametric test and the magnitude of this trend was measured by Sen’s slope estimator. The results show that the quality of groundwater in this plain has declined over the studied period. The biggest slope changes in the trend line (micromhos on cm  EC= 550)  was related to the electrical conductivity indicating groundwater salinity, Moreover, the noticeable changes in electrical conductivity in recharge and discharge months indicate drastic changes in the groundwater quality due to precipitation. It can be argued that rainfall (total monthly rainfall of 10.8 mm in the month of discharge and total rainfall of 76 mm in the month of recharge) has greatly influenced the  groundwater quality . 

In this research, a Type 2 adaptive fuzzy controller approach is formulated and designed to be applied to variable speed doubly fed induction generator-based wind turbines directly connected to the grid. It brings this study to evaluate the whole operation of the system to capture the highest rate of power in the wind turbines. The controlling approach is considered to keep the stator reactive power to the ideal value. In contrast to the other researches, here the controlling technique is developed through the nonlinear systems.  By the aim of making progress in system operation, in contrast with the Type 1 adaptive fuzzy system, type two adaptive fuzzy theory is proposed to approximate a large number of uncertainties and the dynamic nonlinearities, exists in tracking errors which may limit the system performance. Feedback linearization control approach helps us to algebraically alter the system into a linearized plant. Thanks to the Lyapunov theorem, the introduced type two adaptive fuzzy approach is proved to meet the uniformly ultimately boundness (UUB) property. On the other hand, it results better tracking function. The simulation outputs represent that the proposed technique is robust enough in presence of parameter variations and unstructured uncertainties.

Black cumin (Nigella sativa L.) seeds are used in the traditional medicine in many countries to prevent and treat many disorders and diseases including cough, asthma, nasal congestion, headache, toothache, intestinal worms, menstrual disorders, gastrointestinal diseases, and impotence. To study the effects of humic acid and iron nanochelate on the content of osmotic protective osmolites including glucose, fructose, sucrose, proline, superoxide dismutase, catalase, and peroxidase of medicinal plant black cumin under the drought stress conditions, an experiment was conducted as a split factorial based on the randomized complete block design with three treatments in three replications at the Agricultural and Natural Resources Research Station of Eqlid city during two crop years of 2018 and 2019. The main plot consisted of three levels of irrigation (50, 75, and 100% of available water) and sub-plots included humic acid (0, 250, and 500 mg l-1) and iron nanochelate (0, 1, and 2 g l-1). The results showed that the effects of irrigation, humic acid, and iron chelate treatments on the catalase, superoxide dismutase, glucose, and peroxidase content, irrigation treatments on the proline content, and irrigation and humic acid treatments on the sucrose and fructose content were significant. The content of all protective osmolites increased in the 50% drought stress treatment. The highest content of glucose, fructose, and sucrose was obtained in the 50% drought stress, 500 mg l-1 humic acid, and 2 g l-1 iron nanochelate treatment. Overall, based on the results of this experiment, the application of humic acid fertilizer (500 mg l-1) and iron nanochelate (2 g l-1) could be recommended to reduce the effects of drought stress on black cumin.

In this paper we apply a geometric integrator to the problem of Lie-Poisson system for ideal compressible isentropic fluids (ICIF) numerically. Our work is based on the decomposition of the phase space, as the semidirect product of two infinite dimensional Lie groups. We have shown that the solution of (ICIF) stays in coadjoint orbit and this result extends a similar result for matrix group discussed in [6]. By using the coadjoint action of the Lie group on the dual of its Lie algebra to advance the numerical flow, we (as in [2]) devise methods that automatically stay on the coadjoint orbit. The paper concludes with a concrete example.

Image processing by partial differential equations (PDEs) has been an active topic in the area of image denoising, which is an important task in computer vision. In PDE-based methods for unprocessed image process ing, the original image is considered as the initial value for the PDE and the solution of the equation is the outcome of the model. Despite the advan tages of using PDEs in image processing, designing and modeling different equations for various types of applications have always been a challenging and interesting problem. In this article, we aim to tackle this problem by introducing a fourth-order equation with flexible and trainable coefficients, and with the help of an optimal control problem, the coefficients are determined; therefore the proposed model adapts itself to each particular application. At the final stage, the image enhancement is performed on the noisy test image and the performance of our proposed method is compared to other PDE-based models.