حسن باقری

Choosing lifestyle determines the future of a person and as a result, the future of society. Therefore, without proper recognition and understanding of lifestyle, personal and social habits and ways of life will go astray and as neglecting the lifestyle can causes crimes and different violations including financial crimes of personnel and causes irreparable damage to the family, organization and society and tarnishes their dignity, the objective of this research is measuring the impact of lifestyle on financial crimes of IRGC’ personnel. This is an applied research and producing literature in it is in order to help improve lifestyle of IRGC’ personnel and is usable in IRGC and its intelligence protection organization. The research method is reasoning after occurrence that according to the dependent variable, examines the probable causes of its occurrence. The information collection method is library with studying the cases of IRGC’ accused personnel of financial crimes in the last ten years. The Statistical population includes all the filed cases with the subject of financial crimes of IRGC’ personnel in the last ten years and stratified sampling is utilized for this purpose. The research results show that the indicators related to organizational lifestyle have the highest impact on financial crimes of personnel and indicate weakness of oversight, legal loopholes and abundance of criminal financial opportunities at IRGC level. In the second place are the indicators related to individual lifestyle that the issues of belief and faith, personality weakness and lack of satisfaction are visible in it and in the next place are the indicators related to social lifestyle with the issues of future economic security, class distance and high family expectations.

In this study thity-two new-born Holstein male and female calves (3-d-old) were randomly assigned to one of four treatments: 1) feeding whole milk (HM) in 2 times/d (2×; HM-2×), 2) feeding HM in 3 times/d (3×; HM-3×), 3) feeding waste milk (WM) in 2× (WM-2×); and 4) feeding WM in 3× (WM-3×). The lowest starter dry matter (DM) intake (pre-weaning and entire period), total DM intake and the highest average daily gain (ADG; post-weaning and entire period) and feed efficiency (FE) were was observed in WM-3× calves compared to other groups (P<0.05). Calves in WM-3× group had the highest hip height (weaning and the end of experiment), body weight (BW; the end of experiment) and body length (weaning and the end of experiment) compared to other groups (P<0.05). Based on the conditions of the present study, it can be concluded that feeding HM at 3× improved Holstein Dairy calves. Further researches are needed to evaluate these findings.

One of the elements of the success of any production organization is the optimization of the product distribution channel. Because it affects all the activities of the organization in order to provide the services needed by the customers. Elements such as inventory, marketing decisions, and pricing are effective in optimizing the distribution channel. Although the investigation of these factors alone leads to optimization, but their simultaneous optimization creates global optimal, which has rarely been addressed in past studies. Therefore, this article seeks to present an integrated model for the simultaneous optimization of supply chain elements in the distribution channel. The proposed model is a bi-objective model in which decisions related to marketing; pricing and inventory control are considered. Two internal and external suppliers have been used. In this study, the first objective function seeks to maximize profit and the second objective function is the utility resulting from customer satisfaction. The presented model has been implemented in the supply chain network of Etka chain stores. Inventory management in distribution centers as well as marketing parameters, including product pricing in channels, choosing the best channel for each product, the amount of sales of each product in each channel and finally the amount of discount for products It has been checked in different channels in the proposed model and then it has been solved by LP metric method by GAMS and NSGA2 algorithm. Which shows that the genetic algorithm of NSGA2 in high dimensions provides the desired results in a more appropriate time.

Tracing the reactive material through soil is crucial for the health of the environment, water resources and agricultural products. One of the widespread elements in agricultural lands is sodium, which affects on soil physical structure and water movement and solute transport in soil. Therefore, it is important to trace and remediate the sodium transport through the soil and know the fate of this element in the root zone. Many factors can affect the transport of an ion through porous media, in which soil moisture condition and application of amendment such as vermicompost are very effective due to altering the hydraulic and physical conditions of the soil. Therefore, the aim of the current study is to model the sodium transport in natural soil and soil amended with vermicompost under saturated and near-saturation conditions with three models of equilibrium, one-site sorption and two-site sorption. Moreover, sensitivity analysis was employed to explore the effective parameters of the breakthrough curve of sodium.

Two media including natural soil with loamy sand texture and soil amended with vermicompost were prepared, in which amended soil was achieved by mixing 1.45 gr vermicompost with 100 gr natural soil. In order to conduct the experiment, 350 gr of each soil sample was placed into the columns with a length and a diameter of 10 and 5.95 cm, and then all soil columns were saturated for 24 hrs and leached with distilled water for another 24hrs. After leaching, a solution containing 1mM KNO3 and 0.435mM NaCl was applied with flow rates of 3.17-4.28 and 2.5 cm3/min for 270 minutes under saturated and near-saturated conditions (water saturation (Sw)=1 and 0.98), and soils were leached with distilled water again under aforementioned conditions during 300 minutes. The effluent solutions were collected and their Na contents were measured using flame photometry. Next, Hydrus-1D program was employed to simulate the experimental breakthrough curves of sodium using Advective-Dispersive equation coupled with equilibrium, one-site sorption and two-site sorption models. The unknown coefficients were KD for equilibrium model, KD and α for one-site sorption model and KD, F and α for two-site sorption model. The sensitivity analysis was performed for all unknown coefficients of the models to clarify the role of each coefficient on the simulated curve.

The values of RMSE for equilibrium, one-site sorption and two-site sorption models were respectively 0.02-0.19, 0.003-0.03 and 0.003-0.03, which indicates equilibrium model has an unacceptable accuracy compared to the one-site and two-site sorption models, and two-site model has the highest accuracy. Equilibrium model had poor performance at all parts of all curves, while the poor performance of the other models occurred at the breakthrough point and slop of some curves. The relatively similar accuracy of one-site model with two-site model and the fraction of sorption sites (F)<0.5 in two-site model indicated that the transport of sodium in the both soils was mainly controlled by the sorption/desorption kinetic process. The application of vermicompost and desaturation from Sw=1 to 0.98 decreased the values of F to 66.5 and 85.5% respectively, indicating that the kinetic process was more predominant in amended soil and unsaturated conditions. The values of distribution coefficient (KD) were altered by changing the conditions in all models. The values of KD increased by the application of vermicompost and soil desaturation to 3.4 and 12.6%, respectively. It shows that the sorption capacity of amended soil is higher than that of un-amended soil, and it is increased under unsaturation conditions compared to saturated conditions due to the presence of air bubbles in soil and a delay in water and solute transport. Employing the fraction of sorption sites in two-site model compared to on-site model changed the values of first-order rate coefficient (α) from 0.01-0.032 to 0.005-0.016 min-1 leading to a reduction by 47%. The values of α were decreased by a reduction in flow rate due to the lower sodium diffusion. The results of sensitivity analysis showed that KD had the most effect among the coefficients on fitting the breakthrough curve, and altered all parts of the curves including the breakthrough and peak points and the slope. The one-site model had low sensitivity to α, which its variation led to a small change around the peak point. The sensitivity of two-site model to the both coefficients of F and α was moderate, by which the curve had a variation on the peak point and slope. Overall, the sensitivity of coefficients of two-site model showed the trend of KD>F>α.

Geochemical facies are intervals of source rock which have difference from upper and lower layers in terms of accumulation and production of organic matter. In this study two methods have been used for TOC determination of Kazhdumi Formation one of the fields of southwest of Iran. In the first method, TOC calculation has been done using experimental equation and ΔlogR method. In the next step, using the Artificial Neural Network (ANN) method in MATLAB software and using TOC information measured in the laboratory and well logging data as model input that have the highest correlation coefficient with TOC information, TOC log was estimated in the whole sequence of Kazhdumi Formation. The correlation coefficient of two TOC log estimated by ΔlogR and ANN methods with laboratory TOC data was 0.75 and 0.97, that shows more accuracy of ANN than ΔlogR method. Then, using MRGC (Multi-Resolution Graph-Based Clustering) method and using TOC logs obtained from ΔlogR and ANN methods as observers, the geochemical facies of the studied sequence were identified and the obtained model was generalized in several wells close to each other in the study field. As a result, the thickness of suitable geochemical facies in terms of accumulation of organic matter are mostly seen in the initial intervals of the studied formation.

The increasing growth of science and specialized articles in various fields, especially in health and treatment, has faced researchers with the challenge of keeping up with this progress. Review research provides researchers with the possibility to gain access to an acceptable and categorized amount of information by spending less time and money and helps them reach the original essence of the research. However, carrying out such research is very difficult because it requires deep knowledge of the specific field as well as reviewing several studies to find and gather appropriate information. By developing a system, we intended to help researchers in the process of categorizing, extracting, and aggregating data and findings. This study aimed to design and implement a database management system to review studies in the field of medicine and health.

This practical study was done in 2022, and associated with software development. The system was developed in three stages as follows: 1) analysis, 2) implementation, and 3) testing and troubleshooting. This system is implemented using the frameworks based on JavaScript, Angular on the front-end side and Node JS on the back-end side. In the final stage, the system was tested using actual research, and possible defects and problems were detected and solved; finally, the system was handed over to the research team to conduct new research.

In the process of testing the system, we found that by using this system, the accuracy of the information entry process can be greatly increased, and the analysis of the results can be done online with high speed and accuracy.

The results of the present analysis can help policy makers for appropriate legislation and business managers to solve identified problems and increase user trust and satisfaction.

Iran always exposed many chemical events and threats. Although, chemical events not common, they cause widespread and severe casualties. Hospital preparedness for these events has an important role in reduced morbidity and mortality. This study has attempted to develop a comprehensive and operational model of hospital preparedness against chemical events and threats in order to address existing challenges in hospitals and to fill the gaps.

A qualitative approach was used to identify the dimensions and factors affecting hospital preparedness and through content analysis, 37 semi-structured face-to-face interviews with managers, experts and victims of chemical disasters were analyzed. In the third stage, the extracted components from the previous stage were presented as initial model and validated by Delphi method. Finally, after validation of the initial model, the final model was explained and presented.

Qualitative study findings included 9 themes: hospital risk assessment, management and organization, human resource empowerment, law, coordination and communication, documenting and recording, socio-cultural origins, hospital contamination, and challenges. Each of these themes had several categories and sub-categories. Following a Delphi step, all questions reached a percentage of agreement above 75%. Drawing the relationships of the final extracted themes formed the initial conceptual model of hospital preparedness against chemical events and threats.

The present study showed that a model-based preparedness plan should be designed based on hospital capacities, hospital preparing level, up to date knowledge, personal protective equipment and adequate decontamination. Avoiding Security chemical events and raising the risk perception of managers, officials, and people will provide the basis for hospital preparedness. Followed by reduced the various undesirable consequences of chemical accidents.

This research is intended to assess the vulnerability of the subway stations in case of terrorist chemical threats. This is an applied study following a descriptive - analytical method. Relying on library studies, international standards and questionnaire, the researchers identified the effective indicators of vulnerability first, and then sought the effect of these factors on the northern stations of Tehran Metro Line 1. The reliability of the researcher made questioner was confirmed by experts, and the content validity was approved by CVR and CVI techniques. Data analysis was carried on by network analysis process (NAP), one of the most powerful techniques in decision making, as well as Super Decision Software were employed as the processing tools for ranking the stations and indicators. The results indicated that the Imam Khomeini station (weight: 0.0964) occupied the first rank, and Gheitariyeh station (weight: 0.039) was at the last rank in terms of detection techniques and reacting to vulnerability. Moreover, the indicator of “compiling and distributing manual” was at the first rank among the 11 approved indicators. This station rankings method helps managers investigate the effect of indicators on each station, identify minor indicators in them, and reinforce them to achieve uniform performance. Additionally, according to this ranking, the criterion of human performance plays a clear role in reducing the vulnerability of stations. This criterion includes training, culture, development and learning by the employees and travelers. It requires its own special methods.

Chlorine is a toxic and oxidizing gas used to purify drinking water in Iran. Failure in checking chlorine gas leaks may cause irremediable damage to employees and residents nearby the Chlorine gas storage area. This applied and analytic research, whose population includes Jalalieh water treatment plant in Tehran and the regions around, covers public regions and the nearby vital organizations for the assessment and management of crises. This research is aimed at an investigation of possible Chlorine gas leakage from a one-ton Chlorine gas reservoir in Jalalieh water treatment plant in Tehran by using software ALOHA 5-4-4 for the assessment of the mechanism, rate and the speed of emission and the resulting dangers and the endangered population.  The results demonstrated that if the one-inch valve is damaged, gas emissions can be lethal in a radius of 2.4 km, and will be effective in a radius of 8.3 km, and can be felt in a radius of more than 10 km. It was also revealed that in the first minute of emissions, gas concentration can be around 1080000 PPM in the winter, and about 311 PPM in the summer. Chlorine gas emission is higher in the winter than the summer, because of the weather stability caused by inversion phenomenon, especially in recent years. Finally, based on the results of modeling, the emergency response programs are presented.

Healthcare networks in industrial areas are the main pillars of preventing and coping with chemical accidents and crises, which are of great importance in improving their level of resilience. In order to achieve this goal, it is necessary to apply a precise method for assessing and empowering these centers. The purpose of this study was to provide a resiliency pattern for these centers in accidents and chemical crises.

The present research is a combined study (quantitative - qualitative) study of the applied type. In the first phase, the indicators of resilience assessment were extracted from internal and international literature and confirmed by content validity. Then, in the next phase, the questionnaire was designed and computed based on the extracted indicators and was approved by the experts. Finally, by designing quantitative criteria for analyzing the results of healthcare networks assessment in disasters and crises, a model for assessment and empowerment of the health system in disasters and crises was presented.

Based on the literature review and the methodology, 12 indicators were extracted for assessing healthcare networks in chemical accidents and crises. Content validity (CVI = 0.85 and CVR = 1) of all indicators was confirmed, then using the questionnaire on the weight of each indicator was identified in the score of the total score (100 points). The quantification methods of the 12 indicators developed by the expert group were confirmed. Finally, an evaluation and capability model for these networks were developed.

According to the results, the pattern of healthcare networkschr('39') resilience in chemical disasters and crises was divided into three stages before, during and after the crisis in 12 indicators of chemical hazards, structure status, documentation analysis, capacity and facilities, training, exercises, human capital, management systems, crisis management, communications, accident analysis, and audit and monitoring with relevant sub-groups.

In recent years, the increasing pollution of the environment and its destructive consequences, as well as the growing concern about it, has led to new concepts and approaches to reduce these effects and preventive environmental measures. One of the most important of these approaches is the green supply chain. Green supply chain integrates supply chain management with environmental requirements in all stages of product design, selection and supply of raw materials, production and manufacturing, distribution and transfer processes, delivery to customer and finally after consumption, recycling management and Re-consumption is designed to maximize energy efficiency and resources while improving the overall performance of the supply chain. In this paper presents a multi-objective model for a green supply chain network. To solve it, the LP-metric method is used, which is coded in Gams software. The results show that the study of two important factors of cost and carbon dioxide emissions, as one of the most important and well-known pollutants, has led to the application of this model in the supply network and. The results also show that it is more important to pay attention to greenhouse gas emissions at higher demand.

The removal of toxic pollutions from aqueous waste is nowadays considered as a hot issue being investigated. ]In this research, tetracycline (TC) as an important antibiotic, and malathion (MA) as a toxic organophosphate pesticide are considered for the photodegradation by a high-performance nanocomposite. Co3O4 nanoparticle anchored on graphene oxide based on UiO-66 metal- organic framework were synthesized and tested for photodegradation of tetracycline and malathion. Results showed that the presence of graphene oxide and UiO-66 improves the photodegradation efficiency up to 93% and 81% for tetracycline and malathion, respectively. Furthermore, total organic carbon studies verified the decontamination of this pollutants. Presence of graphene oxide and UiO-66 with high specific surface area, great conductivity, and various functional groups make it as good support for Co3O4 nanoparticles. All experiments show that this nanocomposite can be appointed as a good photocatalyst in the visible light area and it can be an excellent replacement for other photocatalysts.

Joint optimal production scheduling and preventive maintenanceare interested in many research andhas a potential impact on the performance of manufacturing systems. In addition, due to the uncertainty in demand, maintenance and inventory shortages are almost inevitable. Therefore, determining the optimal amount of buffer level, the time required to create additional storage space to address the loss, and the maintenance time is a concern for many manufacturers. Paper studied a single-machine production unit with incremental failure rates. The system begins with a h-sized inventory stored in period A and stops as soon as it reaches period m, whichever occurs earlier, and is subject to maintenance. The buffer inventory during this period. A mathematical model and a numerical approach are used to obtain optimal values of variables simultaneously to minimize the average total cost and satisfy the access constraint. The results show that, in the presented model, the total cost and decision variables are highly sensitive to the inventory holding cost but not also for the occurred scenario.

In this study, the model in the framework of hierarchical covering location by taking a dynamic approach (the radius of coverage and the amount of demand in different periods dynamically) in the fuzzy provide and studied. Location and allocation model for hospitals and facilities that includs rescue helicopter and ambulance to the demand, to establish and cover of demand that they are in the radius of coverage, provided, and also considered the possibility of being busy facility. The status of Subspecialty hospital, hospital and clinic locate and in different periods of time are fixed. Fuzzy concept has been used to draw closer to reality. Site of the service facilities, including ambulances and helicopters are variable in different periods. Also in models for this movement is considered cost. Services machines and hospitals and clinics have limited capacity. Given the fact that the goal is just to validate the model, numerical data is used. The method of solving this problem is using the numerical example of the GAMs software definitive method, and for larger scales, the ABC algorithm and ICA are used. To validate the proposed model, it compares it with Bashiri et al. Model model. The numerical results show the optimal efficiency of the proposed solution method and the problem model.

The commercialization process requires product development, market valuation, market strategies, finance, construction, and accounting. For a successful business, we need a multifaceted environment. Also, Identification of requirements for international development of markets for Nano-based products is an essential topic in related research. So, the main goal of the paper is detecting and ranking the effective factors on commercialization of Nano-based products. The research is an applied and descriptive one on the base of a self-made questionnaire and Interpretive Structural Modeling technique(ISM). For gathering data, the questionnaires were distributed among 15 experts on the field of Chemistry, Chemical Engineering, Industrial and Materials Engineering and Electrical Engineering. All of them have more than 15 years of experience and MSc. and PhD. Degree. The results were analyzed by Interpretive Structural Modeling (ISM) technique and MICMAC analysis. After MICMAC analysis, the indices were categorized in four areas of autonomous, dependent or grafted, and independent or penetration. The findings shown that proper marketing strategy, attention to the marketing strategy and competitors, constant measuring and evaluating of customers, quick presentation to the market, funding, finding appropriate ideas, and special attention to the market strategy which are the most effective indices on commercializing in Nano-based products. The most important and effective index was special attention to the market strategy. Main Contribution of the paper is to presenting a framework for the effective factors on commercialization and assessing them on the base of ISM method for Nano-based products.

In this study, the effect of managerial ability have been studied on tax avoidance in the companies listed in Tehran Stock Exchange. The Indicators used to measure avoid paying tax are the book effective tax rate, the cash effective tax rate and long-run cash effective tax rate. The sample includes 122 companies listed in Tehran Stock Exchange for 87 to 93.  The results showed that there is positive significant relationship between managerial ability and the three proxies used to avoid paying taxes. This means that higher ability managers engaging in more tax  avoidance  activities  that  reduce  their  firms’  cash  tax  payments. On the other hand, the results indicate that firms have good performance, managers with a high level of ability engaging in less tax  avoidance  activities. In general, the results show that in addition to the features of the firm, managerial ability influences the tax avoidance behavior of the firm.

In the present research, a new, sensitive and high-performance potentiometric sensor for the determination of tramadol in various real samples were designed and fabricated. A novel nano-composite layer was suggested for the construction of this sensor. The proposed nano-sensing layer composed of a new carbon paste matrix including; graphite powder, a new synthesized tramadol imprinted polymer nanoparticles "as an essential sensing element", graphene nanosheets and an ionic liquid of 1-butyl-1-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide as the conductive pasting binder. Under the optimized conditions, the new suggested sensor presented the detection limit of 8.90×10−9 mol L−1 and the linear range of 3.50×10−8 to 1.00×10−2 mol L−1 with a Nernstian slope of 59.73±0.20 mV decade−1. Also, this sensor displays an excellent selectivity for tramadol with respect to number of other same species. It has a fast response with response time of about 6 s, and can be used for at least 3.5 months without any considerable divergence in the potentials. Finally, the presented sensor was successfully used for the trace level determination of tramadol in pharmaceutical and biological samples.

In this study, a model is presented for fire station’s locating and facilities allocating to stations in different periods and emergency situations. This model is designed, considering amount of demands and facilities coverage radius, being dynamic (based on traffic and type of region) in different periods. According to fact, in the presented model, amount of demand for each demand point depends on number of coverage by facilities and amount of demand of demand point .in this model , location of stations is determined once in different periods. The numbers of facilities which are allocated to stations are allocated dynamically and can be relocated in different periods. In the model, each strategic demand point (arsenal, food storage and so on) can be potential point for facilities. This is a complicated model so to solve this model, particle swarm optimization algorithm and combinatorial matrix have been suggested. In the suggested algorithm, method of making matrix is such that locating matrix and early and final allocation are presented in a single matrix. Finally the results of proposed algorithm with artificial bee colony were compared the results show that this algorithm is better in terms of quality of answers and solving time.

Accurate detection of changes in geological layers and boundaries between them using petrophysical logs, is a fundamental problem in the petrophysical data processing. In this study, the boundaries of geological layers in a carbonate reservoir was determined in two different ways and petrophysical parameters and concentrations of minerals and fluid volume due to the boundaries specified for the interval studied were calculated layer by layer. In the first method, using blocking algorithm, effects of noise and shoulder beds of petrophysical logs readings were taken and sudden changes on these logs was used as the indication of boundary layer. In the second method, using a log clustering (MRGC method), the number of 9 electrofacies in the interval was determined and the facies boundary was defined as a geological boundary layer. The log entry contains both common method GR, RHOB, NPHI, DT and the PEF. In the next step, the petrophysical parameter and volumetric concentration of minerals and fluids in both methods were calculated set by applying the boundaries layer by layer and was compared with conventional petrophysical evaluation method. The calculations showed that, unlike commonly used petrophysical evaluation methods that calculate reservoir parameters in a mean and continuous manner across a reservoir, by specifying the boundaries of the layers in the sequence of a reservoir, petrophysical parameters can be calculated on a layer-by-layer basis with a much higher accuracy. As a result, with this method, the strongest and weakest layers in a reservoir can be identified precisely, and also a better view of the other layers can be obtained. The layer by layer study is more important in reservoirs with alternating and thin layers.

Fahliyan limestone formation belongs to the Khami group, one of the oil and gas reservoir rocks in the southwest of Iran. This study is divided in two parts; in the first part, the reservoir characteristics of Fahliyan formation were evaluated in the well studied by taking into account the conditions of falling and gas effect on reading charts. Accordingly, lithology, by using neutron-density and M-N plots, was diagnosed to be limestone plus some mineral dolomite; the average of petrophysical parameters including effective porosity (PHIE), effective water saturation (SWE), and hydrocarbons in flashed zone and virgin zone were calculated to be 2.1, 56, 0.4, and 1.1% respectively. The pay zones and the average of petrophysical parameters in these zones by determining cut-offs for the two parameters of effective porosity (PHIE >= 2.2) and effective water saturation (SWE<= 55) were calculated. In the second part, the reservoir facies and non-reservoir facies were grouped by MRGC method and the sequence was partitioned into two reservoir and non-reservoir facies; the average of petrophysical parameters was compared between the two facies. There was good agreement between the specified reservoir facies and production zones in the total sequence evaluated. Finally, the reservoir main parts were identified for extracting gas and reservoir zoning was carried out in the interval studied.

The best reservoir intervals, i.e. pay zone in a well interval, include some sections of a reservoir formation with the highest hydrocarbon volume and the lowest water volume. In the present study, in the interval of a carbonate gas reservoir, pay zones were determined using two completely different methods. In the first method of pay zone determination, i.e. cut-off method, intervals were specified by determining cut off for two petro-physical parameters of porosity (PHIE) and effective water saturation (SWE). In the second method, namely clustering method, the zones were determined by combining clustering log data and new method of multi-reference graph cut (MRGC). Based on National Iranian Oil Company (NIOC) standards, in the first method, cut offs were considered 3 and 55 for PHIE and SWE of a gas reservoir respectively. In the clustering method, two models were applied; in one model, raw data were considered, while in the other one the evaluated logs were taken into account. With respect to the accumulation of hydrocarbon in the isolated facies in the two models, the model with evaluated logs showed higher accuracy. Finally, the accuracy of determining pay zones in the two models was investigated and compared. Given that the two methods were completely different, the accuracy of both methods to determine pay zones was observed at a very high level; the two methods were also highly consistent. As a result, in addition to cut-off method, clustering method can also be used to determine pay zones.

Today’s with increasing of capacity of the ports and ships dimension، the needs for applying an appropriate berthing (fenders) system has been also increased. The principal function of the fender system is to prevent the vessel or the dock from being damaged during the mooring process or during the berthing periods. Forces during the vessel berthing or anchoring may be in the form of impact، abrasive action from vessels، or direct pressure. These forces may extensive damage to the ship and structure if suitable means are not employed to counteract them. The amount of energy absorbed and the maximum impact force imparted are the primary criteria applied in accepted fender design practices. So considering the design criteria this article by using a case study obtains the energy of mooring of ten general cargos.