ali khodadadi

Hemophilia A has received attention in Iran due to its significant patient population and number of complications and comprises a major healthcare challenge in the southwestern region. Several factors contribute to the prevalence and incidence of hemophilia A in southwestern Iran, including genetic predisposition, consanguineous marriages, and limited access to comprehensive healthcare services. This study aimed to investigate the common haplotypes of hemophilia A in this region of our country.

Medical record data of patients with hemophilia A over 14 years from 2009 to 2023 were entered into a questionnaire, including age, gender, form or severity of the disease, the most common bleeding site, survival rate, cause of death, place of residence, blood type, ethnicity, family relationship, and mutation type. The severity of the disease was determined based on the results of the patient's factor VIII levels, and the mutation type was determined based on molecular testing and sequencing (mutation determination by direct method or gene linkage study, including VNTR).

Of the 40 patients in this study, three were female (7.5%), and 37 were male (92.5%). The most common disease form was severe. In 39 patients, the most common bleeding site was in the joints, and only one case had bleeding in the gastrointestinal tract. A high mutation diversity was observed in gene mutations and inversions; the most reported case was intron-22 gene inversion.

Identifying genetic mutations in hemophilia disease helps promote the clinical care available for these patients. Genetic testing is also indicated for carrier identification and prenatal diagnosis.

Today, the livelihood of the villagers is strongly tied to climate change; So that with the increase of these changes, their livelihood stability is facing a crisis. This issue will show how these societies adapt to these changes. Therefore, the aim of the current research is to identify the pattern of livelihood adaptation of rural communities in Iran in the face of climate change. The study method is among applied studies, which is done in a quantitative and qualitative framework in terms of descriptive-explanatory purpose. The statistical sample of this research is purposeful, and to collect secondary data, the documentary method and primary data are used from the field method (Q questionnaire). Questionnaires were sent electronically to 20 experts (academic community). Q factor analysis method was used to analyze the collected data. The results of the research indicate that the bottom-up model will be a central strategy in the livelihood adaptation of rural communities against climate change. On the other hand, two compatibility factors "environmental and social" were recognized as the most important livelihood strategies for rural communities in Iran. that this pattern of compatibility can be implemented in the form of executive programs such as: teaching compatible behavioral patterns; promoting social support; To realize ways of saving water consumption and sharing local knowledge of rural communities in the face of climate change. Also, for the sustainability of villagers' livelihoods in the face of climate events, domestic and foreign institutions can achieve adaptation policies by taking advantage of local knowledge capacities.

In today's world, security is considered as the most important factor in the formulation of sustainable tourism development strategies, and is directly related to it. In a way, tourism security can lead to the development of the local economy, increase employment and income levels of indigenous communities, especially in rural areas. The purpose of this study; Assessing the impact of religious tourism on the security of rural environments is in the form of three factors of communication, social and environmental security. The unit of analysis in this study is the village and its statistical population consists of two groups of host community (101 people) and experts (24 people). Therefore, it has been done through a researcher-made questionnaire whose validity and reliability have also been confirmed. MABAC and FAHP methods have been used for analysis, weighting and ranking of criteria. The results show that the average score of the impact of religious tourism on local community security at the level of 99% was significant. On the other hand, the security dimension with a weight value of 0.524 and the environmental dimension with a weight value of 0.187 have the highest and lowest importance, respectively. Based on the results of ranking ten villages with high potential for religious tourism, Langar and Hojjatabad villages have the highest and lowest ranks in terms of insecurity, respectively.Keywords: Religious Tourism, Rural Tourism, Tourism Security, MABAC and FAHP Methods.

Sustainable spatial development, in addition to general factors of development, also includes ‎ecological aspects, equality, integration, compatibility and environmental limitations. This ‎approach tries to deal with the phenomenon of regional imbalances and provide appropriate ‎solutions to achieve balanced and sustainable development at the level of the country. The ‎purpose of the present research was to analyze the use of rural spaces with an emphasis on ‎sustainable spatial development in Delfan villages. The methodological process used this ‎research is applied in terms of purpose, and the research method is descriptive-analytical. The ‎method of collecting data and information is in the form of library and documental. Dimatel ‎cause and effect tool was used to analyze the information. which was done by the expert ‎panel method. The findings indicate that the spatial planning of Delfan villages is not based ‎on the strategic indicators of spatial sustainable development, but rather the formation of ‎factors such as: governance of economic thinking (1.17), and skeletal-infrastructure (0.67). as ‎the most influential, and equality and integration (-0.75 and -0.74) as the most impressionable ‎factors. Therefore, the planning of these settlements has not been in the framework of ‎sustainable development, especially spatial sustainable development. It means that it does not ‎include the principle of interdisciplinary and supra-disciplinary (the element of people and ‎place) which is a strategic challenge of sustainable spatial development. This has caused the ‎imbalance and spatial balance of the villages of this city. In the end, suggestions such as: ‎reforming the mental and executive structure of officials from paying attention to the general ‎dimensions of development, in terms of factors of equality, integration, compatibility and ‎existing environmental limitations; Rejecting the views of rural development from a purely ‎economic and political point of view; etc. has been presented.‎

Weather based power curtailments have a huge share in total customers outage. Hence, reliable-affordable exploitation of networks during the adverse weather condition is one grid operator’s main issue. This article addresses an approach for optimal operational by considering dynamic line outages rate during extreme weather condition. In this paper, resiliency modification is accomplished by probing influences of weather condition on line outages using embedded sources, power storages and feeder topology reconfiguration. This work addresses objectives associated with resiliency issue in order to minimize total operation cost from distribution Company’s viewpoint, reduce amount of outages and maximize private sector’s benefits by probing weather changes during operational time interval. In this regard, a multi-objective optimization problem including both economic and resiliency targets is proposed to model the behavior of distribution company and private sector. Also, a benefit sharing mechanism is applied to increase synergistic integration between these players. A hybrid genetic- ɛ constraint strategy employing fuzzy decision maker is applied to achieve optimum Pareto-front solution based on fair profit sharing. Results proves that the proposed method increase profits for all players due to reduction in energy not supplied penalty cost as well as it enhance resiliency during adverse weather conditions.

Many years have passed since the initiation and implementation of sustainable rural development projects in the country of Iran, however, rural communities in many regions of the country still face numerous challenges. In this regard, government planners and administrators have made efforts to address the issues and problems of rural areas by presenting new approaches. Accordingly, the current research aims to provide a different approach to rural development by critically and comparatively analyzing traditional approaches in rural development planning. Therefore, the present research is of a developmental type, and the research method is analytical-interpretive, with data collection primarily based on library and documentary research. The findings of the study indicate that the top-down approach based on the endogenous approach and sectoral planning still dominates the rural development system in Iran, and as a result, the desired development of rural communities nationwide has not been achieved. The results show that sustainable rural development can be facilitated at the national level by incorporating the characteristics of a territorial approach. This suggests that a proposal beyond agriculture should be based on the participation of all stakeholders, emphasizing the importance of social factors and rural institutions, and incorporating both agricultural and non-agricultural occupations, considering the interrelationships between agricultural, industrial, and service sectors, and most importantly, it should be inconsistent with a spatial perspective on urban-rural relations. Therefore, the process of rural development in the country would be economically rational, socially equitable, and environmentally responsible.

Colorectal cancer, a solid tumor with a high prevalence, contributes significantly to annual mortality rates. Various factors, including blood groups, may influence cancer risk. Multiple studies have suggested a potential connection between ABO and Rh blood groups and colorectal cancer risk. This study aims to investigate the role of ABO and Rh blood groups as risk factors in colorectal cancer patients.

We conducted a retrospective study involving 71 colorectal cancer patients diagnosed between 2018 and 2020 in Khuzestan province, Iran, with known ABO blood types. Large-scale data from 29,922 blood donors in Khuzestan served as the healthy population control. The study analyzed the distribution of ABO blood groups among the blood donors.

Our findings revealed that the distribution of blood groups among colorectal cancer patients was as follows: O (31.0%), A (29.6%), B (29.6%), and AB (9.8%). However, our analysis did not establish a significant association between colorectal cancer risk and ABO antigens (P-value = 0.636) or Rh blood group (P = 0.198). Additionally, no significant differences in ABO blood types were observed concerning gender (P = 0.802), cancer type (P = 0.338), or tumor type (P = 0.207) among colorectal cancer patients.

This study does not support a significant correlation between ABO and Rh blood groups and the risk of colorectal cancer, nor does it find associations with cancer type or tumor type.

Chronic myeloid leukemia is one of the most common types of blood cancer that, despite recent advances in cancer treatment, still results in high patient mortality. Due to the side effects of anti-tumor drugs, natural products such as seaweed extract can be more convenient and safer in treating cancer. In this study, the anticancer activity of Sargassum tenerrimum extract was investigated by assessing the rate of apoptosis and expression of the WT1 gene of the K562 chronic myeloid leukemia cell line.

In this study, 250, 500 and 750 mg/mL of methanolic, chloroform and hydroalcoholic extracts were prepared. After the cultivation, the K562 cells were incubated with the extract for 24 hours, followed by observation under an inverted microscope to check the degree of apoptosis. After RNA extraction and cDNA synthesis, expression of WT1 gene was determined by real-time PCR. Results showed that all extracts were concentration-dependent and contributed to the induction of the apoptotic cell line K562. Depending on the concentration and type of various extracts from Sargassum tenerrimum, inhibition of gene expression of the WT1 gene was also observed.

The most effective induction of apoptosis and inhibition of gene expression was developed by 750 mg/ml hydroalcoholic extract and chloroform extract was the least effective.

These results indicate the anti-cancer potential of Sargassum tenerrimum extract on K562 cells by inducing apoptosis as well as inhibiting WT1 gene expression.

Economical and resilient operation of energy systems has always been one of the important and main priorities of the energy systems operators. However, with the progress made in various fields of energy systems, especially power systems, the discussion of resilience and reduction of energy not supplied has become more important. In other words, in addition to the supply of energy consumers, the issue of energy welfare is raised which is a function of the energy not supplied index. And according to that, the consumer expects the energy receives with maximum possible power quality and minimum outage. Therefore, in this paper a bi-objective optimization model is proposed to improve the economic performance of the energy hub system and to improve the resilience of electric consumers under adverse weather conditions, in which the operational cost of the hub energy is minimized and on the other hand, the consumer welfare index, which is a function of the energy not supplied index of the system, has been maximized. It is assumed that outage rate of electrical lines can be affected by weather conditions. To solve the optimization problem, the epsilon constraint method has been used and in the following, the fuzzy Max-Min method is used to select the optimal solution from among the set of solutions.

Exosomes are nanoscale vesicles widely used as drug delivery systems. Mesenchymal stem cell (MSC)-derived exosomes have shown immunomodulatory potential. This study optimized loading OVA into the mice adipose tissue-derived MSC-isolated exosomes to prepare the OVA-MSC-exosome complex for allergen-specific immunotherapy.

MSCs were harvested from mice adipose tissue and characterized by flow cytometry and evaluating differentiation potential. The exosomes were isolated and characterized via Dynamic Light Scattering, Scanning Electron Microscopy, and flow cytometry. Different concentrations of ovalbumin were incubated with MSC-exosome in various durations to optimize a more suitable protocol. BCA and HPLC analysis were used to quantify, and DLS was applied to qualify the prepared formulation of the OVA-exosome complex.

The harvested MSCs and isolated exosomes were characterized. Analysis of the OVA-exosome complex revealed that OVA in primary 500 μg/ml concentration and incubation for 6 h results in higher efficacy.

Loading OVA into MSC-derived exosomes was successfully optimized and could be administrated for allergen-specific immunotherapy in the animal model.

Breast cancer and cervix cancer are the prevalent and deadly types of solid tumors around the world. According to the importance of cancer, it is necessary to understand predisposing factors that affect cancer risk. In this regard, previous studies suggest that blood types particularly ABO and Rh-Hr Blood-Group System could play roles in the risk and different features of cancers. In the present study, we aimed to evaluate the potential of ABO and Rh blood groups as risk factors for breast cancer and cervix cancer.

A retrospective study included 109 and 14 patients diagnosed with breast cancer and cervix cancer, respectively with known ABO and Rh blood types, between 2018 and 2020 in Khuzestan province, Iran. For compression of ABO blood groups distribution between the cancer patients group and the healthy population, we used data from a large-scale study that report the distribution of ABO blood groups in 29,922 blood donors in Khuzestan province.

Based on obtained results the most frequent blood group is O followed by B, A, and AB in breast cancer and followed by A, B, and AB in cervix cancer. Results showed no significant association between ABO and Rh and the risk of breast and cervix cancer. Moreover, there is no relationship between blood types and clinic pathological features of breast cancer.

Based on our data, ABO and in this regard, previous studies suggest that blood types particularly ABO and Rh-Hr Blood-Group System could play roles in the risk and different features of cancers. In the present study, we aimed to evaluate the potential of ABO and Rh blood groups as risk factors for breast cancer and cervix cancer do have not any association with the risk of breast and cervix cancer and their characteristics.

The issue of operational planning optimization can be classified into two different groups. The first group includes planning under normal conditions with the aim of improving economic and technical indicators and the second group includes planning under emergency conditions with the aim of improving stability and protection of maximum network loads. Emergencies caused by adverse weather conditions are always one of the challenges of networks. In this paper, optimal operational planning based on weather conditions and probable line outages is presented to ensure the optimal operation of the network in adverse weather conditions in addition to improving network resilience. This was carried out by improving network flexibility, modeling the effects of weather conditions on line outages, and then rescheduling energy sources, energy storages, and reviewing network topology. The objectives of the proposed method defined include minimizing grid operating costs, energy supplly costs, and maximizing the benefit of participation of distributed energy source owners and energy storage by considering weather conditions. To solve the problem, a hybrid optimization algorithm based on genetic algorithm and Epsilon constraint method with fuzzy decision maker was used to select the best solution from Pareto optimal set.

Recently, special attention has been paid to the role of culture in the sustainable development ‎of society. Individuals and societies have their own values, meanings, customs and knowledge ‎systems. However, such features are often overlooked in development planning. The purpose ‎of this study is to analyze the risk of cultural literacy in rural areas in the spiritual capital of ‎rural landscape of Lorestan province. The research method of this article is in the framework ‎of library and documentary studies, and Dimatel cause and effect tool was used to analyze the ‎information. On the cultural literacy of the villages, the factors of professional and ‎ethnocentric algebra beliefs with a weight coefficient of 1.296 and 0.848, respectively, as ‎influential factors, and on the other hand, the factors of spatial perception and knowledge, ‎insight and skill with a weight coefficient of 229, respectively. 1- and 077 / 1- have been ‎considered as the most effective criteria among the effective indicators on cultural literacy risk ‎among villages. Based on this, the factors of professional and ethnocentric beliefs are ‎identified and identified as causes and factors of spatial perception and knowledge, insight and ‎skill, spatial perception and values and norms under the name of factors in the field of ‎spiritual capital. Became.‎

Method of the article is within the framework of library studies, also the BWM weighting method and the MABAC prioritization model were employed to analyze the criteria and approaches governing the parts in question. The results indicated that the planning performance in the areas under investigation was at a low level and the performance level of the sub-divisions of Delfan city was mostly explicated based on the compatibility approach. So that among the approaches and criteria influencing the planning of parts under study, based on the opinion of 22 experts of the city, the compatibility approach with a weight of 0.421 had the most weight in the performance of the parts of Delfan city. This means that in the subset of subjective and objective elements based on the compatibility approach and compatibility criteria, the following items have most importance in the planning performance of rural spaces in the parts under study including: distance from highways; distance from the main roads; distance from medical and hospital facilities; distance from military and law enforcement centers; proximity to cultural facilities; proximity to sports facilities; effectiveness, economic efficiency and flexibility of location; harmonization with cultural norms and social values; the capacity to job creation and income increase; the degree of adaptation to climate change; the degree of compatibility with the thinking of decision makers and policy makers; accessibility to resource distribution; the level of access to the quality of land, water, and raw materials; the level of infrastructure quality; compatibility with the composition, arrangement, layout and shape of villages. Finally, with the integrated model, the central part compared with other parts of Delfan city enjoyed the greatest planning performance.

This paper introduces a new application of the Rotor based-current MRAS observer (RCMO) method for Doubly fed induction generator (DFIG) sensorless control in the condition of network voltage drop. DFIG control is Field oriented control (FOC) vector and Model reference adaptive system (MRAS) observer is used instead of speed and position sensor based on rotor current. It is possible to estimate the speed and position of the rotor. Simulation and analysis have been done based on 10% balanced voltage drop in the wind power plant terminal. The results of the simulation show the estimated speed (ω̂r), accurate and appropriate sequence of speed has real (ωr). Also, the graph of the machine variables in the state of balanced three-phase voltage drop in the state sensored is obtained and compared with the state sensorless, which shows the lack of influence of the estimated speed fault on the simulation results and the acceptability of using the RCMO method in estimating the speed in the condition of balanced voltage drop. Finally, the effect of various voltage drops on the estimated speed fault has been investigated.

Colon cancer is one of the most common cancers that causes many deaths worldwide. Efforts to find compounds with anti-cancer potential, especially from marine environments due to the richness of these environments in the field of organisms producing bioactive compounds, are among the topics of interest to researchers. Accordingly, the aim of this study was to investigate the effect of Sargassum tenerrimum seaweed extract on the expression of vascular endothelial growth factor (VEGF) gene in colorectal cancer cells.

In the present study, three methanolic, chloroform and hydroalcoholic extracts of Sargassum tenerrimum seaweed from Persian Gulf were prepared and the effect of three concentrations 250, 500 and 750 mg/ml of each extract on VEGF expression was evaluated in SW742 cells of colorectal cancer using Real Time PCR. Data were analyzed using One Way ANOVA along with LSD test.

The results showed that hydroalcoholic extracts at concentrations of 500 and 750 mg/ml and chloroform and methanolic extracts at concentrations of 700 mg/ml caused a significant decrease in VEGF expression in SW742 cells (P <0.05).

These results indicate the anti-cancer potential of Sargassum tenerrimum extract by reducing VEGF expression and angiogenesis.

Undoubtedly, the most important population issue in the rural areas of developing countries, such as Iran, is the depopulation of rural areas. Population stability is the result of growth of global awareness about the environmental, social, economic, poverty, inequality and concerns about a healthy future for humankind. Consequently, the present work investigates the effect of government population policies on the population stability of rural areas around Kerman city. The method of this investigation is the descriptive-analytical and its tool is the self-made questionnaire and excel software. The method of data collection is as the survey and documentary. FAHP and FVICOR models are used for analyzing obtained data. According to the obtained results from the used models and among the investigated factors, the maximum and minimum weights are assigned to the social factor with the weight of 0.562 and the economical factor with the weight of 0.190, respectively. Based on this, it can be concluded that the social criterion has the most important effect among the influential factors. In the implemented prioritization of the villages, the highest rank in the terms of three factors is assigned to Qanatghista and Arababad villages and also, the lowest rank is assigned to Sekeng village. It seems that the government's population policies have been effective in the stability of population of the mentioned villages, however, these have not been impressive in the other villages.

In recent years, a lot of effort has been made to develop various advanced control techniques in electric motors drive for industrial applications. Induction motors are the most common motors used in motion control systems. Simple and robust design, cheap price and low maintenance cost are the main advantages of induction motors. In this article, the three-phase induction motor drive is selected as a suitable electric drive according to the wide range of speed control and its performance in classical controls is examined. The main goal of this paper is to provide a robust control method for three-phase induction electric drive. The presented control method is capable of better starting the motor in a wide range of speed and torque. Also, the use of fuzzy controller has improved the stator flux and reduced the steady state fault of the drive. The performance of the proposed engine and drive is analyzed using MATLAB/Simulink software and the results are shown in different conditions.

The science of complexity considers management that values ​​diversity and avoids dominant issues. Slowly Therefore, when there is a set consisting of many different factors, on different scales, with inherent and inseparable dependence and interdependence of factors on each other, we face complexity. Ecological and social systems, on the other hand, are systems related to people and nature, and emphasize that man not only cannot be separate from nature, but must be a part of it. Therefore, in the present study, it is felt necessary to address the issue of managing ecological and social complexities in the conservation of natural resources. This research is a descriptive-analytical research in terms of purpose and an exploratory research in terms of data collection, and is in the framework of library and documentary studies. On the other hand, Dimatel tool was used to analyze the information. The results showed that among the factors affecting the management of ecological and social complexity, the factors of lack of systemic and comprehensive attitude, the lack of discussion of environmental resources in land management And its legal status, institutional barriers, lack of an integrated system of exploitation of natural resources and control of unstable factors and lack of active participation and management interaction within the framework Factors included in the group of four propositions (f4) with a weight coefficient of 1.077 were identified as the most important factors affecting the management of ecological and social complexities in the conservation of natural resources in the villages of the province.

In this paper, multiscale modeling of Epoxy-based hybrid nanocomposites was performed. Single-walled carbon nanotube and carbon nanoparticle (diamond) were used as reinforcements and the elastic behavior of hybrid nanocomposite was investigated. In the multiscale modeling, at the nanoscale and pico-second time range, molecular dynamics method was used to make an accurate model of the interaction between the nano-scale reinforcements and the polymer matrix to predict the interface behavior more realistically. At the micro and macro scales, micromechanical models were used to predict the elastic properties of the nanocomposites, incorporating the effects of interface behavior. Finite element method was also used to check the accuracy of the results obtained at the macro scale. First, pure thermoset polymer with 75% crosslinking ratio was simulated using molecular dynamics method. Then two nanocomposites, one consisting of a single-walled carbon nanotube and another one containing a carbon nanoparticle (diamond) were simulated to obtain equivalent fiber mechanical properties. Next, a micromechanical model was developed for hybrid nanocomposite using the equivalent fiber and pure thermoset polymer mechanical properties. In addition, the results obtained from the molecular dynamics simulations, along with a correction coefficient were employed in the micromechanical models and finite element simulations. Finally, micromechanical multiscale modeling results were compared with finite element multiscale modeling results and a good agreement was observed. Results suggest that the use of two types of nano-reinforcement together, hybrid nanocomposite, improves nanocomposite mechanical properties.

Tourism, through its many benefits and benefits, is one of the most important levers of development for local and rural communities today, and its development and promotion is agreed upon by all rural development planners and policymakers. The increasing challenges of rural communities, the high importance of tourism in the development of local communities, and the high ability of tourism target villages to attract tourists are three key elements of special attention to tourism development planning in the villages of North Khorasan Province. Therefore, the present quantitative and applied research, which has been done by descriptive-analytical and causal method, has been conducted to investigate the impacts of tourism on local communities and rural development. The statistical population of the study consists of all household heads of eight villages targeted for tourism in North Khorasan province among which 383 persons are considered as statistical sample. The main data gathering tool was a questionnaire whose validity and reliability was confirmed and SPSS and Amos software were used for data analysis. The results show that the mean score of tourism impact on the local community and the host with a value of 3.195 at 99% confidence level is higher than the average level. The results of the study of rural development status in the study area showed that the mean calculated with 3.157 was significantly higher than the baseline and the level of rural development was also above average. The results of the final model of structural equations modeled the effect of tourism (independent variable) on rural development (dependent variable) in tourism target villages of North Khorasan Province showed that the model is significant at 99% confidence level. In this model, the total impact amount was 0.535, and overall, tourism accounted for about 29% of the variance of rural development in the study area.

This study aimed to investigate the effects of natural adjuvants (G2 and PC) to activate natural killer cells in colorectal cancer.

Natural killer (NK) cells are an element of the innate immune system that can recognize and kill cancer cells and provide hope for cancer therapy. One of the current methods in cancer immunotherapy is NK cell therapy. Immunotherapy with NK cells has been limited because of the low number and cytotoxicity level of NK cells. Natural adjuvants such as PC and G2 may stimulate the immune system. It seems that these adjuvants could increase cytotoxic NK cells.

Twelve patients with colorectal cancer and six healthy individuals qualified for inclusion in this study. Peripheral blood mononuclear cells (PBMCs) from each patient with two distinctive concentrations (105and 5×104 cells/well) were treated with Interleukin2 (IL2), PC, and G2 adjuvant separately. The NK cell's surface markers, including CD16, CD56, and NKG2D, were evaluated by flow cytometry. The cytotoxicity effect of treated PBMCs as effector cells against NK sensitive cell line (K562) was assessed using the LDH assay method.

Results:

The results revealed a significant increase in the level of CD16+NKG2D+ NK cells in PBMCs treated with the G2 group compared with the control group in CRC PBMC (p<0.001) as well as the normal PBMC group (p < 0.01). In addition, the results indicated a significant increase in the level of CD56+NKG2D+ cells in the PBMC treated with PC (p < 0.05) and G2 (p < 0.001) groups compared with the PBMC group. The cytotoxicity result of PBMC from CRC patients in 10:1 ratio of the effector: target showed that the cells' cytotoxicity in the PBMCs treated with
PC (p<0.01) and G2 (p<0.05) was significantly higher than the untreated PBMC.

According to the result of this study, it can be stated that the PC and G2 adjuvants could be candidates for inducing cytotoxic natural killer cells.

In this research, control system based on adaptive dynamic programming (GrHDP), presented for Wind farm Double-Fed Induction Generator (DFIG) in order to improve transient stability system under error conditions. Suggersted controller, implemented according to the interaction between the controller and plant as a based- adaptive dynamic programming (ADP) and based on pproximation of optimal control mode. The programming and simulation provided in MATLAB soft ware and the effectiveness of the proposed approach corroborated via two cases: The first case investigates a revised four-machine two-area system with high wind penetration and a static synchronous compensator. The second case is a practical size power system with wind farm based on actual data. In addition, detailed simulation analysis and comparative studies with traditional ADP approaches presented to demonstrate the superior performance of our method.

In this paper, the free vibration of defective nanographene is investigated using Molecular Dynamics Simulation (MD) and Differential Quadrature Method (DQM). The equations of motions and the related boundary conditions are derived based on the differential constitutive relations in conjunction with the classical plate theory via Hamilton’s principle. Then, DQM is used to investigate free vibration of the nanographene with various boundary conditions. At first, in order to determine natural frequencies more realistically, nanographene mechanical properties are determined using MD simulations. The effects of defects are investigated by analyzing pristine and defective nanographenes containing Stone Wales, vacancy, and Adatom defects. According to the results, the non-dimensional fundamental natural frequency parameter converges to the analytical value for N=10×10. Results indicate that graphene with CCCC boundary conditions has the maximum natural frequency. The minimum value corresponds to the graphene with SSSS boundary conditions. In addition, Non-dimensional fundamental frequency parameter of the nanoplate increases with increasing nanoplate aspect ratio. Finally, defects reduce density, position ratio and elastic moduli of nanographene, which causes a decrease in natural frequency. Stone Wales and vacancy defects decrease nanographene natural frequencies by about 8 and 25 percent, respectively.

Urban areas, as places of service, have influenced the development of these spaces. Therefore, they must have a proper and effective performance in order to develop the settlements around them. Based on this premise, the present article while determining the performance of Noorabad city; It analyzes its impact on the economic development of the surrounding areas. This research from the perspective of the goal; Applied, and in terms of the nature of the descriptive method, it is considered analytical. Therefore, first, the basic economy of the region was measured by the spatial coefficient (LQ) method, then using MABAK analytical technique, the effect of the basic economy on the economic development of the villages of Pirahshahri was measured. Finally, by numerical taxonomy method, the level of economic development of the villages adjacent to Noorabad Delfan city was ranked according to the design method of the experts' questionnaire. The results indicate that the agricultural sector was considered as the dominant sector of the region's economy. In the study of economic indicators affecting the development of villages through MABAK, it was found that indicators such as; Achieving the second job with a weighted coefficient of 3.399 and changing jobs with a weighted coefficient of 3.193 are among the priorities of this method. This process is due to the fact that the economic development of the regions is at a low level. Finally, in the ranking made in the numerical taxonomic technique, it was determined that the villages of Khalifa-Abad (weight 0.107), Zaliabad (weight 0.152), Cheshmekhani (weight 0.212), respectively, in the rankings 1 to 3 and the rest of the villages are in the next ranks. Therefore, according to the obtained priorities, being on the main bumpy routes between Noorabad city and far and near towns and villages has caused the relative development of some areas, and the basic economy of this city has not played much role in the economic development of Piranshahr villages.