mohammad. karimi

The purpose of the current research was to design a management model in schools in multi-ethnic areas. For this purpose, the foundation data method with the Strauss and Corbin approach was used. The statistical population of the research was managers and teachers of multi-ethnic areas of Razavi Khorasan province. The research data was collected using semi-structured individual interviews, the statistical sample included 14 school principals in multi-ethnic areas, 8 teachers in multi-ethnic areas, and 4 university professors and experts in the field of educational management, who were selected in a targeted theoretical manner. became The data were analyzed using the three-step coding method of Strauss and Corbin (1990). The findings of the research show that participatory and constructive management based on multiculturalism acts as a central phenomenon and that individual, organizational and social contexts have an influence in this sector. Also, the causal conditions included creating peace in the school environment, valuing the roles of multicultural management, creating a cultural background. The intervening factors included the level of participatory leadership, the level of facilitation in the direction of multi-ethnic education, the level of multicultural professional knowledge and awareness, and the considered strategies were to strengthen the culture of collective participation in schools, improve managerial skills and competencies, and school-oriented in multi-ethnic areas.

Peace education changes behavior and enables adults to avoid conflicts and violence and resolve them peacefully by focusing on indices such as knowledge, skills, and attitudes. University is an important organization that plays a significant role in education and creating sustainable values in society..

The research method was qualitative and according to the quasi-numerical or judgmental approach in the field of futures research methods. The measurement tools included authentic domestic and foreign articles, field studies and documents, and were based on the development of questionnaires in two stages using the Delphi technique. This Delphi Panel methodology consisted of 20 education and communication experts in educational sciences and humanities, and they were selected by the researchers using a judgmental method. The matrix of cross-impact analysis coefficients was used with the help of MICMAC software for structural analysis.

The research findings, including 94 primary codes or indices and 11 components indicated that cultural, environmental, educational, and media factors had the highest effects on cultural intelligence, and thus four scenarios were developed, namely human dignity based on peace education, symbolic and unstable peace education, hegemony or the collapse of the education system, and peace education as the basis of global citizenship education.

Futures research can forecast the future of peace education with the greatest accuracy and the least uncertainty. The future forecast of peaceful education can reduce conflicts at schools, universities, and other educational institutions and lead society towards sustainable growth and development.

Every year, various events such as exhibitions and conferences are held all over the world. An event consists of various actors, the most important of which are the participants and the items in that event. Participants need to get the most out of these events at the right time. Therefore, providing a sequence of space-time recommendations for an event such as a scientific conference is a very significant issue. The scientific conference environment is a dynamic space where different items are held in different places and times. On the other hand, the location of the user in the conference space is constantly changing. Therefore, recommendations to users should be made according to the location of the user and the time of the request. To find a solution for this problem, focusing on the case study of scientific conferences, we used the ability of recommender systems and social network analysis. The characteristics of the users were extracted from their pages on the social-scientific network ResearchGate and the Google Scholar website. The suggested recommendation method is a combination of social filtering, content-based filtering, and Spatio-temporal filtering methods. The extracted social information from the sources is analyzed by social filtering methods. As a result, similar participants to the user are recognized. The content information of these recognized participants is used to improve recommendations and prevent over-specialization. In addition, social filtering analyzes the relationship among the participations to solve the cold start problem and by recognizing expert participation, it uses their content information to recommend to new users. Content information of the user and similar participation to this user inter the content-based filtering for each user. In this filtering, the similarity value of items with the content information of the user is calculated for each time window. For this purpose, using the spatial graph model, the conference space becomes a computing space. Space-time refinement by using this computing space and taking into account the location and time of the user's request and the items, suggests the most optimal item to the user and follows it by providing the space-time suggestions to the user. The performance of the system in providing suggestions to users was evaluated by a questionnaire. According to this survey, the accuracy of the recommendations made using the proposed method was evaluated at 74%, and the prioritization ability at 93%. Also, in the survey conducted, the ability to recognize experts for a new user was investigated. As a result, 76% of new users confirmed the authenticity of both introduced experts.

This study showed the potential of the electrospinning (in this case electrospraying) technique to produce whey protein concentrate (WPC) micro and nanocapsules for applications in the encapsulation of canthaxanthin. The results showed that the solution concentration, feed solution flow rate and applied voltage had a direct effect  on the encapsulation efficiency. by increasing of the solution concentration, feed solution flow rate and applied voltage, the encapsulation efficiency increased. The results showed that solution concentration was the most effective factor in electrospraying, because its scale estimate was highest. According to the results of analysis of variance (ANOVA) for this model, the regression model suggested a significant value for both linear and quadratic terms at P < 0.05. Also in order to obtain 0.93% encapsulation efficiency, optimum  point was found at the emulsion concentration of 39.4%, feed solution flow rate of 12.2 ml/min, applied voltage of 17.5 kV, and 17.1cm distance between needle tip and collector.

 Adipose tissue serves as a source for the release of adipokines, including Asprosin, Spexin, and Leptin, which play a role in regulating glucose metabolism and interacting with insulin. In type II diabetes, the disruption of these hormones affect insulin sensitivity and glucose metabolism. Regular exercise is considered an effective method for the non-pharmacological prevention and treatment of type II diabetes. The objective of this study was to investigate the responses of asprosin, spexin, and leptin to eight weeks of circuit resistance training with moderate and high intensities in men with type II diabetes.

In this semi-experimental study with a pre-test/post-test design, 36 men with type II diabetes (age, 40.3 ± 3.6 years) were randomly divided into three groups: a control group, a moderate-intensity circuit resistance training group (MICT), and a high-intensity circuit resistance training group (HICT). The training groups followed a circuit resistance training protocol for eight weeks, three sessions per week. In the MICT group, exercises were performed in three sets of 13 repetitions at 60% of one repetition maximum (1RM), while in the HICT group, exercise protocol encompassed three sets of 10 repetitions at 80% of 1RM. Blood samples were taken before and after the intervention to evaluate serum levels of asprosin, spexin, and leptin by using the ELISA technique. Additionally, the HOMA-IR index was calculated to assess insulin resistance. Data analyses were conducted using paired t-tests and one-way ANOVA with Tukey's post hoc test, considering a significance level of p < 0.05.

Data analyses indicated that eight weeks of circuit resistance training at moderate and high intensities significantly reduced body weight (p = 0.0001), asprosin (p = 0.0001), leptin (p = 0.0001) and insulin resistance index (p = 0.0001). Additionally, serum levels of spexin was significantly increased (p = 0.0001). When responses to two exercise protocols were compared, the high-intensity training had a greater impact on all the studied variables.

This study demonstrated that eight weeks of circuit resistance training at high and moderate intensities led to positive changes in the levels of adipokines such as Asprosin, Spexin, and Leptin, which were associated with improved insulin resistance. It appears that high-intensity training had a greater impact than MICT.

The ICSID Convention in the settlement of investment disputes for several reasons does not provide a definition of investment contracts, which has caused the judicial procedure in many international investment arbitration cases to try to explain the limitations related to the confirmation of investment contracts. In this direction, the criterion "assistance to the economic development of the host government" has been considered as the most controversial criterion among arbitral tribunals. Why this criterion could not be uniformly applied in international arbitration courts and how to prevent its removal in the arbitration procedure is the subject of the analysis presented in this research. The material presented in this research, which was conducted with the method of reading books and survey tools, shows that in facing the With numerous problems related to this standard, it is necessary to pay attention to new investment methods and adopt a flexible approach to fulfill the requirements.

The aim of this study is to identify Identify the cpmponents of the auditor's professional doubt and rank the individual differences components and behavioral factors affecting the  professional doubt. The research method is descriptive and through the inductive approach, the research components were first collected from the theoretical foundations and analyzed through Delphi analysis. The statistical community consists of experts from the scientific community and university professionals who have executive records in the auditing profession, and the sample size as panel members is 12 people. The sampling method in the current research is a targeted approach. According to the opinion of the elites, the auditor's professional doubt has sub-components that, in order of priority, include such things as questioning mind, suspension of judgment, interpersonal understanding, self-esteem, research to obtain evidence, problem-solving ability, critical evaluation, moral factor, multiple values. Enduring risks or threats is beyond obedience and moral goals. The components of individual differences affecting professional doubt, in order of priority, include factors such as psychological individual differences, judgmental individual differences, value-oriented individual differences, cultural individual differences, occupational and skill individual differences, individual differences due to personality type, individual differences due to style. Leadership, individual difference caused by professional ethics and Machiavellian personality and the components of behavioral tendencies affecting professional doubt include planned behavior as behavioral factors affecting the auditor's professional doubt

Spexin and Asprosin as multifunctional peptides, play a role in glucose metabolism. This study aimed to investigate the response of these two peptides to different intensities of interval training in women with type 2 diabetes. This study was a quasi-experimental type with a pre-test to post-test design. 30 women with type 2 diabetes, aged 30 to 40 years, were randomly divided into three equal groups (n=10) including; Control, moderate intensity interval training (MIIT), and high intensity interval training (HIIT). The training protocol consisted of 12 weeks, three sessions per week, and with intensities of 70-75% and 80-95% of maximum heart rate, respectively. Before and after exercise intervention, serum levels of spexin and asprosin were evaluated by ELISA method. Intragroup changes were analyzed using a paired t-test and intergroup changes were analyzed using a one-way analysis of variance test with Tukey's post hoc test. The significant level was considered to be p≤0.05. The results indicated that in training groups, following 12 weeks of interval training, the serum levels of spexin increased significantly (p = 0.0001) and asprosin decreased significantly (p = 0.0001). Also, the insulin resistance index showed a significant decrease (p = 0.0001). In conclusion, it seems that HIIT and MIIT exercises can cause positive changes in the amount of spexin and asprosin, along with improving insulin resistance in women with type 2 diabetes. Based on the findings of the present study, HIIT exercises have better effects than MIIT training

Critical Thinking Education as one of the essential skills in modern education systems plays a vital role in nurturing students with the ability to analyze and reason. This article examines the challenges and opportunities in critical thinking in Sabzevar city. The purpose of this study is to identify obstacles and provide solutions to improving the process of critical thinking education in Sabzevar

This study is aimed at development and applied research with a qualitative approach conducted from May to November 1403. The statistical population includes 20 experts as a decision team to identify effective indicators in identifying challenges and opportunities for critical thinking training (non -random).

 According to the results of the research, the factors and indicators in critical thinking education, including 90 indicators in most 15 criteria and 5 dimensions (analysis and reasoning, creativity and innovation, problem solving, evaluation and judgment and social and ethical thinking were identified. Arrangement and judgment, information evaluation, judgment were based on the evidence of results analysis, and ultimately for the dimension of social and ethical thinking, social thinking, moral thinking, and the ability to cooperate and the ability to cooperate.

 The results showed that five dimensions of analysis and reasoning, creativity and innovation, problem solving, evaluation and judgment, and social and ethical thinking, should be considered to identify and identify challenges and opportunities in the Sabzevar Education Department.

The basis of Eric Burn's theory of interaction analysis is based on the three aspects of parent, child and adult. The interaction between emotional states can be used in the analysis of human behavior, clinical drama, therapy, communication and behavior. Analyzing my moods in literary texts is a practical way to find out the roots of behavior. In his stories, Nizami-Ye-Ganjavi has paid attention to the situations related to human relationships and the mental and psychological states of the characters and their communication, therefore, the behavioral typology of the characters in his stories can be examined from the perspective of this theory. In this research, with an interdisciplinary approach and relying on library sources in a descriptive-analytical way, we analyze the relationships between the characters in the story of Bahram Gur and his maidservant and show that there is a strong and deep connection between literature and psychology and that the stories of ancient Persian literary texts have the capacity and capability of psychological criticism. In this essay, after stating the theoretical foundations and explaining the psychological terms, the authors have interpreted and explained the verses of the story, paying attention to the clues and signs of the theory of reciprocity. The findings show that the personality dimensions of people in the stories are revealed in the form of their behaviors. The general nature of the story is the child/parent dominated by the adult. According to the Karpman triangle, Bahram is the oppressor, the victim's maid and the savior colonel.

Since the first research on Earning Response Coefficient, one of the most important directions of studies conducted in financial accounting is explaining and identifying different factors affecting the Earning Response Coefficient for companies. Also it can be shown that the financial characteristics are not the same in different periods of a firm's life cycle and changes depending on period and the situation it is placed. In other words, the financial characteristics are influenced by the stage of the life cycle, therefore, the firm life cycle can be used as a key for stronger forecasting as well as making more logically decisions. Therefore, the purpose of this research is to investigate the effect of the firm's life cycle on the relationship between stock trading volume and the Earning Response Coefficient of listed companies in Tehran Stock Exchange.This research is a type of applied research in which the financial data of 151 companies during the period of 2013 to 2022, including 1510 observations, were examined. The results show that the effect of the trading volume on the Earning Response Coefficient is different in different stages of the life cycle, and it is more in the Stagnation Stage than in other stages. The results show that the life cycle is an influential factor in the relationship between the trading volume and the Earning Response Coefficient, so that the adjusted determination coefficient changes with the entry of each of the life cycle variables into the regression equation.

The production of land cover maps (LCM) provides essential information about land types and their characteristics, playing a significant role in updating urban maps, managing natural resources, environmental protection, and sustainable development. In this context, the use of image processing techniques and free remote sensing data is considered an optimal method for generating land cover maps (LCM). In this study, various artificial intelligence approaches, including machine learning (ML) and deep learning (DL) algorithms, were used to produce the LCM. The ML approach includes two stages: feature extraction and classification. In the feature extraction stage, texture features extracted from the gray-level co-occurrence matrix (GLCM), including mean, variance, homogeneity, contrast, and entropy, were used. For classification, the logistic regression (LR), decision tree (DT), random forest (RF), and support vector machine (SVM) algorithms were employed. In the DL approach, deep learning semantic segmentation models, including U-Net, U-Net++, ResU-Net, and MRU-Net, were used. To evaluate the accuracy of the ML and DL algorithms in producing the land cover map, Sentinel-2 images from two areas located in the west of Tehran were utilized. The results of this study were examined in three different sections: ML, DL, and their comparison. In the ML section, the RF model, which used a combination of the image's primary bands and texture features, performed better than other models with an overall accuracy of 95.21% and a Kappa coefficient of 92.62%. In the DL section, the MRU-Net model produced the most optimal LCM with an overall accuracy of 95.33% and a Kappa coefficient of 92.73% compared to other deep models. The MRU-Net model, without using texture features, improved overall accuracy and the Kappa coefficient by 0.53% and 0.82%, respectively, compared to the RF model using a combination of primary image bands. Furthermore, compared to the RF model, which used a combination of primary bands and texture features, the MRU-Net model's overall accuracy and Kappa coefficient were 0.12% and 0.11% higher, respectively.

In order to investigate the response of the growth and seed yield of the holy thistle (Cnicus benedictus L.) to the plant density and nitrogen rate, an experiment was conducted in the research farm of the Faculty of Agriculture of Tarbiat Modares University. Experimental treatments were arranged in split plots based on randomized complete block design with three replications. The investigated factors in this experiment included four nitrogen rates (0, 50, 100 and 150 kg. ha-1) as the main factor and four plant densities (100, 150, 200 and 250 thousand plants per hectare) as sub factor. At the time of physiological ripening, fresh and dry weight of stem, leaf, seed yield and yield components and harvest index were determined. The results showed that density × nitrogen interaction effect was significant for all measured quantitative traits except the number of sub-branches per plant and the seed number per plant. Nitrogen fertilizer had a significant effect on the disk number per plant and seed number per disk. In total, the density treatment of 10 plants per square meter caused the highest seed yield and yield components in most nitrogen rates. Based on this, for the seed production of holy thistle in order to develop the cultivated area of this valuable medicinal plant, it is suggested to avoid dense cultivations, which are usually recommended to produce the maximum vegetative body of the plant, because according to the findings of this research, the intensification of inter-species competition in density higher than 10 plants per square meter will cause a significant decrease in seed yield.

 Paying attention to environmental cultures and acting based on them is one of the main success indicators of human resources management. This is particularly important for education, given its wide scope and goals, as it is one of the main requirements for creating national unity. Therefore, the current research has been carried out with the aim of identifying and investigating the dimensions and ethical components of management in multicultural schools.

 The approach of the current research was qualitative and its method was meta-composite. The research community included all the articles published in the last decade (2013-23) in the field of ethical indicators in the management of schools in areas with subcultures, from which 25 titles were selected as samples based on thematic content monitoring. Research data were collected by qualitative analysis of the studied documents.

Ethical Considerations: 

In writing the article, ethical aspects including preserving the authenticity of the texts, honesty and trustworthiness have been observed.

 By analyzing the data, the ethical indicators of management in schools in areas with subcultures were classified into 4 dimensions, 13 factors, and 67 categories. These dimensions include: individual-personality components (including the attitude of cultural ethics, knowledge of cultural ethics), social components (communication skills, cultural constructivism and intercultural ethics), professional-specialist components (managing diversity in human resources, specialized professional development, professional commitment and responsibility), and leadership-managerial components (paying attention to multicultural learning, intercultural conflict management, evolution towards pluralism).

 According to the findings, it can be concluded that paying attention to personality and empowering characteristics in line with the ethical management of human resources and understanding cultural diversity and the ability to make the school atmosphere collaborative helps to create an ethical environment in multicultural schools.

Due to the growth and evolution of information and communication technology, the methods of education have also undergone extensive changes. Therefore, the present research was conducted with the aim of designing an efficient virtual education pattern in Farhangian University. 

This research in terms of purpose and implementation method was applied and descriptive from type of exploratory, respectively. The current study population were included all managers and professors of Farhangian universities in Khorasan Razavi province including six Pardis in 2021 year. The samples of the present study according to the principle of theoretical saturation were determined 13 people who after checking the inclusion criteria were selected by purposive sampling method. The data of this study were collected by semi-structured interview (validity was confirmed by triangulation method and reliability was obtained by Cohen's Kappa coefficient 0.87) and analyzed by thematic analysis and three rounds of Delphi. 

According to the analysis of the interviews, the efficient virtual education pattern in Farhangian University had 71 sub themes in the form of 12 main themes. In this study, the main themes were included pedagogical factors, technological factors, organizational factors, integrated management, foresight, purposive educational quality, measurability, flexibility in education, support services, knowledge management, ease of access and information and content. Also, after the first round of Delphi, 9 sub themes and after the second round of Delphi 6 sub themes were removed from the efficient virtual education pattern in Farhangian University, and in the third round of Delphi all the sub themes were evaluated as appropriate. As a result, the final pattern of efficient virtual education in Farhangian University had 56 sub themes in the form of 12 main themes, and the pattern of its main themes was drawn. 

The managers, officials and planners of Farhangian University according to the designed efficient virtual education pattern in Farhangian University can improve the conditions to improve the current state of education, especially virtual education in this university.

Reviewing the literature, a vast number of studies are available about the pulmonary effects of coronavirus disease 2019 (COVID-19). However, the effects of COVID-19 infection on sexual function, especially the long-term effects, have been rarely reported. Here, we report the short and long-term effects of COVID-19 infection on male sexual function.

Using the International Index of Erectile Function (IIEF) questionnaire, the sexual function of 96 COVID-19 patients was evaluated at months 0, 1, 3, and 6 following hospitalization.

The findings showed that the sexual function indicators decline during the first month of infection, then start to improve and reach the baseline by the 6th month of infection. Additionally, the analysis of the demographic data revealed that higher age and lower education levels are associated with lower levels of sexual function indicators.

Infection with COVID-19 may result in sexual dysfunction, which gradually improves over six months.

The purpose of this study was to investigate the policy-making processes for online education at the primary level, focusing on the objectives, content, strategies, resources, and assessment practices. It aimed to identify the challenges and opportunities within these policies to enhance the effectiveness of online education.

This cross-sectional survey study involved 384 educators, administrators, and policymakers in the primary education sector. Data were collected via a researcher-made questionnaire to gather comprehensive insights into the participants' perceptions of online education policies. The questionnaire was validated through a pilot study, and data analysis was conducted using SPSS and SMART-PLS for quantitative responses and thematic analysis for qualitative responses. Confirmatory factor analysis and Cronbach's alpha coefficients were utilized to assess the reliability and validity of the constructs within the questionnaire.

The findings revealed a general consensus on the importance of clearly defined objectives, engaging content, and effective strategies for the successful implementation of online education policies. Challenges identified include the need for better technology infrastructure, financial resources, and professional development for educators. The analysis also highlighted the significance of affective and psychomotor domains in online education, which are often overlooked in policy making. Participants expressed a desire for more innovative and interactive online learning environments to enhance student engagement and learning outcomes.

The study concludes that while there are significant opportunities to enhance the quality and effectiveness of online education through policy improvements, there are also considerable challenges that need to be addressed. These include the integration of affective and psychomotor learning goals, the development of comprehensive support systems for educators, and the improvement of technology and financial infrastructures. Policymakers and educators must work collaboratively to refine online education policies, ensuring they are inclusive, effective, and capable of meeting the diverse needs of primary education students.

The purpose of the current research is to design a model for the development of questioning skills in elementary school students of Razavi Khorasan Province based on the school context. The research method of data-based theory and qualitative approach has been used to answer this question in the qualitative part. 2020 MaxQDA software was used for data analysis. The sampling method is of a targeted type, which reached saturation by conducting a total of 10 interviews with professors and experts in the fields of education management. In the qualitative section, after conducting interviews and coding processes; as many as 217 open codes, including 11 codes for actors, 37 codes for causal conditions, 12 codes for phenomena, 33 codes for context, 45 codes for intervening conditions, 49 codes for strategy, and 30 codes for Consequences were identified in the initial coding, which decreased after being converted into sub-categories and main categories. Nine main categories were identified as effective strategies, including empowering students; empowering parents; empowering teachers; change in the way of teaching and training; appropriate national planning in order to strengthen students' skills (especially questioning); the development of the intellectual and cultural base of schools; empowering and increasing the power of schools in education; foundation for questioning in schools and the growth of the culture of questioning in society. These strategies had 49 open codes. In addition, in this research, the causal; contextual; intervening conditions, actors, and consequences of the model were presented.

The exploration and preparation of the potential map of mineral reserves requires the use of various methods and techniques, based on the geological and mining knowledge of the investigated area, and the use of predictive models of mineral potential (Bonham-Carter, 1994; Carranza et al., 2008a). According to the investigations, the common models of map integration that are used in the discovery of mineral reserves in the initial exploration stage include index overlap model, fuzzy operators, weighted indicators and smart methods such as random forests and artificial networks. Determining the values of weights and scores that show the relative importance of the effective factors is the primary requirement in combining the maps and preparing the mineral potential map (Agterberg, 1992; Brown et al., 2000).The purpose of this research is to prepare a potential map of copper deposits in Dehj-Bazman region using two methods of random forest and support vector machine. In addition, in order to compare the potential map of porphyry copper reserves resulting from the random forest method, the support vector machine method and the knowledge-based methods of index overlap and fuzzy logic were used.

The area studied in this research is a part of the magmatic belt of Kerman region, known as the Dehj-Sardouye belt. The information layers controlling mineralization in Dehj-Bazman area include rock units, structures, alterations, geochemistry, geophysics and copper deposits. In practical applications of machine learning algorithms, mineral potential mapping is essentially a bimodal classification problem, such that each undiscovered area is classified as prospective or non-prospective according to some combination of mapping criteria (Zuo, 2011). The final results are a set of predictive maps that show target areas with high ore formation potential.In order to model, training was done. Before training the random forest model, the input data set and the target variable should be prepared and then the model should be trained. The target variables for entering the random forest model and support vector machine were determined as deposit points (values of 1) and non-deposit points (values of 0). Then the genetic algorithm was used to adjust the parameters.Evaluation of the predictive performance of random forest model and support vector machine can be described by the ambiguity matrix. In this matrix, there are four components, which are defined as: (1) a deposit sample that is correctly classified as a deposit (TP); (2) a deposit sample incorrectly classified as a non-deposit sample (FN), (3) a non-deposit sample correctly classified as a non-deposit sample (TN), and (4) a non-deposit sample that is wrongly classified as a deposit sample (FP) (Liu et al., 2005; Tien Bui et al., 2016): (8) (9) (10) (11) (12) After training and evaluating different models, the best model was obtained by adjusting different parameters and it was used to integrate factor maps in order to predict areas with high potential of porphyry copper deposits. Also, knowledge-based methods of fuzzy logic and index overlap were used to combine factor maps to compare with the results of intelligent methods.

At this stage, the desired information layers were collected and prepared in the GIS environment, and then factor maps were prepared. Accuracy, sensitivity, specificity, predicted positive value, predicted negative value, kappa index and OOB error were used to evaluate the performance of random forest model and support vector machine. Also, the importance of the predictor variables in the random forest model was evaluated through the mean decrease in accuracy and the mean decrease in node impurity or the Gini impurity index (Breiman, 2001). According to the results, the most important predictor in the random forest model is the geochemical map, while the structures factor has the least impact in predicting the preparation of the mineral potential map with the final random forest model.In the potential maps of porphyry copper deposits obtained from two methods of random forest and support vector machine, the target areas cover 14% of the studied area, in which there are 92% and 87% of known deposits, respectively. Finally, the efficiency of machine learning methods and knowledge-based methods were compared. In order to produce porphyry copper potential map with knowledge-based methods, the judgment of expert experts was used to assign weights to each criterion map. For this purpose, weights of 0.3, 0.25, 0.25, 0.1, 0.1 were assigned to produce maps of alteration factor, geochemistry, geology, geophysics and structures respectively. In the potential map obtained from the method of index overlap and fuzzy logic (fuzzy sum), the areas predicted as copper mines cover 16 and 17 percent of the studied area, respectively, in which 83 and 79 percent of the existing mines are located.

This research was conducted with the aim of evaluating and comparing the effectiveness of random forest method and support vector machine method and knowledge-based methods to prepare porphyry copper potential map of Dehaj-Bozman region of Kerman province. Based on the results, the random forest model works well in the field of porphyry copper potential map preparation with geochemical, geophysical, geological, alteration and structures datasets. In addition, the random forest algorithm can estimate the importance of factor maps.The results of this research show that the geochemical factor map is the most important and the structure factor map is the least important in predicting the data-driven model of random forests. This estimate of importance is consistent with geological knowledge about porphyry copper mineralization in Dehj-Buzman region. In order to produce porphyry copper potential map with knowledge-based methods, the judgment of expert experts was used to assign weights to each criterion map. According to the obtained results, the performance of the random forest model is better than the vector machine model, and also, the performance of the support vector machine model is better than the knowledge-based methods.

Selenium, as an essential dietary trace element, has an important biological role in the health and growth performance of cows and dairy cows. The purpose of this study was to investigate the effects of replacing mineral selenium supplement with nano selenium particles in the feeding of suckling calves and its impacts on the growth performance and skeletal structure of suckling calves. The number of 32 newborn Holstein calves with an average body weight of 37.85 ± 4.35 kg in the form of a completely randomized design with 4 treatments (eight calves in each treatment) for 83 days according to the supplemental consumption of milk or drinking water with sources different selenium were placed. Treatments include: 1) inorganic selenium: providing 0.3 mg of selenium per kilogram of dry matter with sodium selenite, 2) low level of nano selenium: providing 0.15 mg of selenium per kilogram of dry matter with nanoparticles prepared from selenium, 3) Medium level of nano-selenium: providing 0.3 mg of selenium per kilogram of dry matter with nanoparticles prepared from selenium, 4) High level of nano-selenium: providing 0.45 mg of selenium per kilogram of dry matter with nanoparticles prepared from selenium. . The results showed that supplementing milk with selenium nanoparticles did not affect the performance of calves during the pre-weaning period, but significantly improved it after weaning compared to calves fed sodium selenite. So the daily gain and feed efficiency in the second period increased secondarily (p < 0.01) and the medium level was the highest

Due to the limitation of water resources in the production of agricultural products in the country and the need to improve water productivity in the production of horticultural products on the one hand and the economic importance of plum production in the country on the other hand, the investigation of management indicators such as the volume of irrigation water, yield and irrigation water productivity is necessary in the production of plums in the country. Plums are one of the most important orchard products, and the livelihood of a large number of farmers in different regions of the country, including Khorasan-Razavi province, depends on this product. Therefore, the current project was carried out with the aim of direct and field measurement of the water content of plum varieties in orchards under the management of local farmers in the producing regions of this product in the province. According to the latest statistics published by the Ministry of Agricultural Jihad (Statistical Yearbook of the Department of Agriculture of Khorasan Razavi Province in 2022), the area under plum cultivation in Mashhad and Chenaran regions is 328 and 75 hectares, respectively, and the yield per unit area in those two mentioned regions is 3905 and 6028 kg/ha, respectively.

In Khorasan Razavi province, two regions with highest area under plum cultivation were selected for evaluation, Chenaran and Mashhad. To conduct this research, 10 orchards in Chenaran region and 10 orchards in Mashhad region have been selected. The volume of irrigation water was measured in these 20 orchards during the irrigation season. The measurements were carried out in different irrigation and planting methods, various soils, different salinity of irrigation water and soil, and different plum varieties during the growing season of 2021-2022 without interfering with the farmer's irrigation management. The measured values were compared with the gross irrigation water requirement estimated by the Penman-Monteith method using the last 10 years meteorological data and also with the national water document values. Plum yield was recorded at the end of the growing seaso nand water productivity was calculated as the ratio of yield to total water (irrigation applied water and effective rainfall).

The results showed that the amount of applied water, the amount of plum yield and the water productivity in Chenaran region were 10899 m3/ha, 21.73 ton/ha and 1.9 kg/m3, respectively. The volume of applied water, the amount of plum yield, and water productivity in Mashhad region were determined as 10229 m3/ha, 13.11 ton/ha and 1.42 kg/m3, respectively. The volume of plum irrigation water in the regions varied from 4999 to 16862 and its weighted average (based on the cultivation area) was 10256 m3/ha. While the average gross requirement of irrigation water in the regions using the Penman-Monteith method using meteorological data of the last ten years and the national water document was 14964 and 12173 m3/ha, respectively. The average yield of plum in the selected orchards varied from 5560 kg/ha to 89800 kg/ha and the average was 14713 kg/ha. Irrigation water productivity in selected orchards varied from 0.4 to 7.09 and the average was 1.53 kg/m3. The applied water productivity in the selected orchards was 1.51 kg/m3.

According to the results of this research in Chenaran and Mashhad, the weighted average volume of irrigation water and the irrigation water productivity in plum orchards are 10256 m3/ha and 1.53 kg/m3, respectively. The volume of irrigation water to produce plum in these two regions was about 31% more than that in country and the irrigation water productivity was about 32.6% less than that in country. The volume of irrigation water, yield and irrigation water productivity in plum orchards in drip irrigation method were 9920 m3/ha, 18827 kg/ha and 1.88 kg/m3, respectively, and in surface irrigation method they were 11433 m3/ha, 14804 kg/ha and 1.31 kg/m3 respectively. The yield of plum and the irrigation water productivity in drip irrigation method, compared to the surface irrigation method, increased by 27 and 43%, respectively, and water consumption decreased by 13%. Comparing the volume of irrigation water used by farmers in the plum orchards with the gross irrigation requirement, shows that the farmers have no enough water for irrigation and unintentionally, they follow deficit irrigation in the plum orchards, and in fact, the farmers use water available for them. The average yield of plums with drip irrigation method was equal to 18.83 ton/ha, which is about 65.75% higher than the average yield of plums in the country. Based on this, plum cultivation in both regions and also the use of drip irrigation method in plum orchards cab is recommended.

Arbitration has become the most prominent and common method for resolving disputes in international trade. Most contracts in this field contain an arbitration clause. The theory of denationalization in international commercial arbitration argues that arbitrators, acting as private judges, should apply transnational rules and avoid interference from national courts during the arbitration process, regardless of the procedural and substantive rules of the seat of arbitration. This theory rests on the assumption that international trade arbitration is inherently international and non-governmental, and therefore, shouldn't be influenced by the local laws of any one country. Unlike the theory of localization, which emphasizes the territoriality principle and the law of the seat of arbitration, the denationalization theory respects the transnational character of arbitration. It considers intervention by national courts, especially those of the seat, to be contrary to the nature of arbitration in international trade. Consequently, this theory suggests that an arbitration award can still be recognized and enforced in another country, even if it's annulled by the courts of the seat. Denationalization theory reflects the emergence of a new legal order for international trade arbitration. This order has evolved independently from domestic legal systems, driven by globalization and the needs of the international business community. Numerous cases in international commercial arbitration demonstrate this trend. Arbitrators, acting as private judges, have increasingly applied rules rooted in this new legal system. In various cases, the administration of the arbitration process hasn't followed the law of the country hosting the arbitration, despite being located within its territory. Considering this growing trend and its significance for international commercial arbitration, this research will examine various aspects of denationalization theory. The key question will be: How does this theory address the needs of the arbitration institution in international trade? Furthermore, what specific principles of international commercial arbitration underpin this theory, and why is it more compatible with the nature of arbitration in this context? By analyzing arguments and foundations related to the importance of denationalization theory for maintaining efficiency in international commercial arbitration, this research aims to show that the denationalization approach, influenced by the globalization of trade and international commerce, signifies a new order at the transnational level. This "new legal order of arbitration" possesses its own distinctive and independent features. It advocates for the suitability of the denationalization approach and rejects intervention by national courts, particularly the court of the seat of arbitration, as incompatible with the transnational nature of foreign trade arbitration. Choosing arbitration to resolve disputes in international trade implicitly indicates the parties' desire to avoid relying on the domestic laws of any specific country. Instead, they prefer to manage their contract based on transnational arbitration rules rather than the formal or substantive rules of the seat country. Therefore, this research hypothesizes that international arbitration has a transnational character and shouldn't be bound by national rules or limitations imposed by national laws, such as the law of the seat of arbitration. These limitations can undermine the usefulness and non-governmental character of arbitration, which are its core advantages over litigation in national courts. To support this hypothesis, we will employ a descriptive-analytical method to examine various aspects of the theory of denationalization and compare it with its opposing theory, localization. We will also demonstrate how denationalization aligns with the contractual and international nature of arbitration in foreign trade. We will explore how it responds to the realities and demands of the international business community, including features like self-regulation, the inadequacy of domestic laws, and inefficiencies caused by national court interference. These factors have all contributed to the development of this theory. Our argument will be that the denationalization approach is essential for the continued growth and development of the arbitration institution in foreign trade. The recognition of a new legal system for international trade arbitration is not solely derived from common practice. Today, national legal systems, such as those of France and the United States, acknowledge the international personality of arbitral awards in foreign trade through various national court decisions. The non-governmental nature of arbitration also necessitates such an approach. The transnational perspective on the arbitration institution in foreign trade preserves its advantages over national courts in several ways. Compared to the nationalization approach, which emphasizes control through the court of the seat of arbitration, denationalization is more compatible with the presumed will of contracting parties in foreign trade who choose arbitration to avoid being governed by national laws.

Eric Burn's theory of mutual behavior analysis provides an image of the psychological structure of personalities in alignment with the communication between people and their internal relationships. By the assistance of this practical theory and considering the deep connection between literature and psychology, it is possible to analyze the characters of the stories of ancient Persian literary texts. Examining these texts based on psychological theories can be the subject of many interdisciplinary researches. Researches like this show the capacity and capabilities of ancient literary texts. Eric Berne's model of mutual behavior analysis is based on the emotional states of "I" (child, parent, and adult). In this essay, the authors have studied the character of Bahram Gur in Ganjavi's Haft Pykar Nezami system in a descriptive-analytical way and using library sources, according to the key concepts (my moods, caresses, mental games, and the chain of relationships). The findings show that Bahram Gur has a dynamic personality and is in the state of "child" with the predominance of "adult" who grows and reaches perfection in the course of life and the process of events. In this system, verbal caresses have a higher frequency than other caresses. Bahram Gur is mostly present in the role of a savior in psychological games, and in the chain of mutual relationships, his connections in the Haft Gonbad and the visit of the Haft Mazloum are complementary and parallel.

Dengue fever is Chickenpox is a contagious and viral disease that is transmitted by two species of Aedes Egyptian mosquitoes and Aedes albopicus mosquitoes and is spreading rapidly in the world. The main purpose of this study is to model the spatial distribution of carriers of this disease in Iran. Due to the lack of sufficient carrier data in the country, carrier data available worldwide and also in Asia, in two different scales were used. Among the most important aspects of this research, we can name the use of heterogeneous layer as an auxiliary factor to analyze the presence points and reduce spatial autocorrelation and the use and comparison of two species distribution models based on presence data for Selecting the optimal modeling method. In this regard, first, using the maximum entropy method (MaxEnt) and a type of genetic algorithm called GARP (GARP), the level of habitat suitability in the world with a spatial resolution of 5 km for both species was modeled. To evaluate the mentioned models, the variables of population density, climate, vegetation density, altitude and soil organic carbon were considered. Due to the high accuracy of the MaxEnt method, using this method, the habitat suitability of the Asian continent with a resolution of 900 m was modeled for both species. The values under the curve (AUC) for the two types of carriers were calculated to be 0.9. The results showed that the northern and southern provinces of the country have higher habitat suitability for both species, with the difference that Aedes aegypti species in the southern to eastern parts of the Oman Sea coast has a higher probability of distribution. In implementing the MaxEnt method for Aedes albopicus, the provinces in western Iran were also identified as desirable, which was not properly modeled on a smaller scale. In February 2016, unfortunately, a small number of mosquitoes and AIDS mosquito eggs were discovered in Bandar Lengeh, which was exactly what this research had predicted. The results of this study can be used in line with planning for population management of these vector insects to control the disease at the same time as monitoring populations during epidemic seasons.

The aim of the current research was to provide a model of factors influencing the acceptance and effectiveness of the Electronic Human Resource Management (E-HRM) system in the Islamic Azad University of Mashhad. The current research was applied in terms of purpose and descriptive-quantitative in terms of research type. The statistical population of this research included all the employees and managers of the Human Resources Unit of the Islamic Azad University of Mashhad in the academic year of 2019-2020, and 280 people were selected as the research sample by random sampling method. The method of collecting information in this research was library sources and a researcher-made questionnaire. For the validity of the instrument in terms of face validity and for reliability with Cronbach's alpha test, a value of 91% was obtained. In this research, Mir-Olkin and Bartlett adequacy test and structural equations were used for data analysis, and SPSS and Amos software were used in all statistical analyzes of this research. The results of the research showed that technological, organizational, behavioral and environmental factors have an effect on the acceptance and effectiveness of the Electronic Human Resource Management (E-HRM) system in Islamic Azad University, Mashhad Branch. Also, among the behavioral factors, the highest importance is related to the indicators of "top management support" and "creating a common vision between human resources (HR) and information systems (IS) managers" and among the organizational factors, the highest importance is related to the indicators to the indicators of "clarity of planning and goals of electronic human resources management" and "financial resources" and among the technological factors the highest importance is respectively related to the indicators of "language standardization" and "IT infrastructure" and among the factors The environment is of the highest importance related to the "economic development of the country".