فهرست مطالب f. abdi

Banking, a vital economic pillar worldwide, thrives with effective management, aiding economic growth. Mitigating risks and addressing cost control are key challenges. Prioritizing strategies to enhance performance in both risk management and cost efficiency is crucial for the banking sector's success and economic stability. One approach is to select partners in such a way that the risk of bank insolvency and total costs are reduced, and the capital adequacy of the bank is increased. So, in this work, we first created a mathematical model to achieve the above goals in the field of banking using the approach of selecting partners. In this model, three objective functions are considered for the optimal selection of partners, two of which aim to minimize risk and cost, and the last objective is to maximize capital adequacy. To solve this multi-objective model, we implemented an integrated intelligent system. A combination of a multi-objective genetic algorithm and a neural network was used in this system. A multilayer perceptron neural network is used to calculate the nondeterministic parameters based on the data from different periods. The proposed method was evaluated using a numerical example in MATLAB software. The obtained results and their comparison with one of the classic algorithms show the superiority and reliability of this intelligent system. Using this system, the optimal partners can be selected to achieve the set goals. The most important factors in the field of risk have been identified. Then, a meta-heuristic multi-objective algorithm (NSGA-II) along with an intelligent neural network system has been used to optimally select partners. According to this intelligent system, a suitable methodology is presented along with the optimization algorithm.

Boeoticum specie is a valuable drought-tolerance gene source to breed wheat yield under stress. This study was done to identify the most important traits affecting grain yield of 10 boeoticum ecotypes under drought stress conditions for two years. Water use efficiency, fertile spikes number per plant and seed number per plant showed the highest positive and significant (p≤0.01) correlation with grain yield per plant. Water use efficiency, fertile spikes number per plant, seed number per the main spike, biological yield per plant, and water use (with a negative regression coefficient), as the most important traits, were entered into the regression model, respectively. The most direct effect on increasing grain yield was water use efficiency. Seed number per plant and fertile spikes number per plant, due to increased water use efficiency, showed the most indirect effect on grain yield.  Ecotype 5, as a drought-tolerant ecotype, showed a high water use efficiency by allocating more assimilates to yield components. It had a high grain yield. On the other hand, ecotype 6 was introduced as the most drought-susceptible ecotype with low-economical yield. In this study, high water use efficiency increased the traits related to seed number per plant. The ratio of assimilating allocation to aboveground or under-ground parts was the main mechanism for the adaptation of ecotypes. Therefore, selection based on these mechanisms will lead to the identification of drought-tolerant ecotypes for future wheat breeding programs.

One of the important aspects in development planning is paying attention to the vulnerability of the country and cities to the threats of war and natural disasters. Hence, the protection requirements and safety consideration of agricultural-related industries, as the most fundamental food industries in society, are more evident than ever. The present applied research was conducted with the aim of identifying and validating the passive defense evaluation indicators in the establishment of agricultural industries in Kermanshah province by combined (qualitative- quantitative) exploratory method. The statistical population of the study was composed of passive defense experts whose number was determined in the qualitative part with purposeful snowball sampling approach with the theoretical saturation being obtained after 14 interviews. In the first stage namely the quantitative part, using the method of statistical population counting, information was collected from 30 experts. The required data was gathered in the qualitative part through interviewing and in the quantitative part using questionnaires. Data analysis was performed in the qualitative part using open and axial coding and in the quantitative part using spsswin20 and Smart pls3 software. After grouping the obtained codes, 96 markers were identified and then classified in the following 9 categories: 1. spatial compatibility, 2.reinforcements and fortifications, 3.safety, 4.camouflage, deception, concealment and cover, 5. dispersion and downsizing, 6. parallelization of dependent support systems, 7. alarm and warning equipment, 8. crisis management and, 9. education and research. In the second stage namely the quantitative approach, a researcher made questionnaire was prepared in which the content validity was confirmed by professors and the reliability was confirmed by calculating Cronbach's alpha (0/87). In order to perform the validation, the amount of factor coefficients related to each dimension was calculated though the path analysis method and 77 indicators were confirmed. The z factor also showed an effective significance for each one of the 9 dimension indicator paths. The prioritization of each dimension indicator was also confirmed by the Friedman test. Due to the high sensitivity of agricultural industries, for their establishment it is necessary to pay attention to the indicators identified and approved in this research.

In this research, the effect of cooling rate on the microstructure, hardness and impact energy of a plastic injection mold made of X210Cr12 steel wasinvestigated. The microstructural studies showed that with increasing cooling rate, the amount of residual austenite (Ar) decreases until it is completely removed.Statistical analysis showed that the size and volume fraction of chromium stabilized with block carbides decreases with increasing cooling rate. As the cooling rate increased, bainites were observed in the microstructure. The hardness decreased via increasing the cooling rate and austenitization time due to the reduced interaction of carbides with dislocations. Martensitic structure prevented a significant reduction in hardness. These factors increased the toughness of the X210Cr12 and led to the ductile failure. Cryogenic treatment modified the structure via distribution of fine carbides into the stable lath martensite. With optimizing the hardness and toughness to withstand the impact of the die, toughness increased to 125 j and hardness decreased to 624 H.V.

In this study, the researcher decided to study Tetraquark and Pentaquark systems. We introduce the Pentaquark system as a meson-baryon system and Tetraquark as a diquark-antidiquark system. A diquark consists of two quarks. The interaction potential between these particles is considered as a combination of two color charge potentials and the confinement potential is considered as harmonic and linear sentences. Solve the Schrodinger equation by considering the effects of spin-spin, isospin- isospin, spin-isospin, and then obtain the mass of the diquark and the heavy tetraquuarks with charm quarks and bottom. These calculations are calculated using the approach of diquark - antidiquark within the framework of the non-relativistic quark model. In the following, we calculate the mass of Pentaquark systems in the same way.

In this research, effect of time and temperature of TLP process on the microstructure, mechanical properties and corrosion resistance of CP-Ti to 316L stainless steel joint evaluated. For this purpose pure copper foil with 100 µm thickness was used as interlayer and joining process carried out at 950˚C, 1000˚C and 1050˚C and for 90, 120 and 150 minutes. After the joining process, shear and micro-hardness test and corrosion resistance were applied in the samples. The test results revealed that the shear strength of the sample 1000˚C is better than two other soaking temperatures. The main reason was the formation of less intermetallic compounds at the interface, as well as the presence of less athermally solidification zone area. Microstructural examinations for the sample after TLP at 950˚C revealed no iron and titanium bearing intermetallic compounds in the interface while for two other samples, there exist considerable amount of intermetallics in the microstructure. Corrosion test results showed that the resistance against corrosion depends on the intermetallic compounds formed in the interface. Intermetallic phases includes FeTi, TiCu, Ti2Cu, and TiCu2. The sample prepared at 1000˚C for 120 minutes had less intermetallic compounds and as a result, had the best corrosion resistance. Fe and Ti containing intermetallics had good corrosion resistance in simulated body fluid, as comparison with Ti and Cu containing compounds.

Given the key role of activity in the development of physical and mental health during pregnancy, this study aimed to evaluate the adherence and effect of the designed exercise training program on the physical and mental health of pregnant women.

The present quasi-experimental study was performed with pre-test and post-test without the control group, in which the separation of adherent and non-adherent groups was performed in an Ex post facto design. The study was carried out on 150 pregnant mothers in Tabriz city using convenience sampling in 2018-2019. Initially, data on the level of physical activity and physical-mental health were collected from all subjects. The designed exercises were given to the subjects to perform at home after one-session training. After eight weeks, the adherence to the exercises was evaluated, and the physical-mental effects of exercise were compared in two groups. The total number of samples in the secondary assessments was 114.  ANCOVA and Mann-Whitney U tests were used to compare variables between the two groups.

Adherence to the training program was 3.15 sessions per week. Thirty-four pregnant mothers (30%) adhered to exercise, showing a significant decrease in activity heart rate (p=0/044) and significant increases in low body strength (p=0/042) and SPo2 (p= 0/005) compared to non-exercising women. There was no significant difference in mental health between the two groups (p>0/05).

Although the designed exercise training program had beneficial effects on some physical functions of pregnant mothers, it did not affect their mental health.

A project should be delivered according to the contract at a speci ed time and date. On this basis, execution and completion times of activities are predicted and predetermined. But in some cases, it is necessary to complete the project even earlier than the speci ed date. It is obvious that in reaching shorter accomplished time, the time of some activities should be reduced. This reduction of time, known as crash activity time, is accompanied by the increasing use of resources and the spending of more costs. On the other hand, performing the activities in a longer duration decreases the costs of activity, but it may lead to the increase of the project duration, which may incur certain penalties. In relation to these advances and penalties, making a comprehensive and correct decision is a rigid challenge for managers. In practice, one of the most fundamental measures for project success is its quality, which can be in uenced by time acceleration with additional costs. The goal of time-cost-quality trade-o is to select subset of activities for accelerating and to select the proper execution modes to minimize the total project time and cost, and maximize its overall quality. In this research, a new model is proposed for time-costquality trade-o problem in which, unlike the previous researches that have only one precedence relation, other kinds of precedence relations have been taken into consideration. However, these constraints complicate the problem, but carry us to the real world. On the other hand, attempt is made to optimize the time, cost, and quality objectives simultaneousl. Due to the complexity of the discrete time-cost-quality trade-o problem, using heuristic and metaheuristic algorithms for solving large-sized problems is undeniable. In this research, the NSGA-II and FastPGA algorithms are used for this purpose and their performances have been evaluated and compared using several criteria that focus on intensity and diversity of solutions.