محمود مرادی

The aim of this research is to provide criteria for determining the capacity of social media platforms to accept cultural understanding.

Data collection was conducted through library studies, and an analytical-descriptive approach was used for data processing.

This research introduces the interactive environment provided by social media platforms, which manifests in various features and capabilities, as a means for intercultural interaction and considers it a starting point in the process of cultural understanding. Additionally, by looking at the honeycomb model of social media, relevant characteristics related to cultural understanding were selected and explained.

The results of this research include identifying and typologizing the platform capacities of social media in creating or negating cultural understanding.

Couplets is one of the Poetry traditional forms in contemporary poetry that most of the poets of the new poetry movement have used before turning to new poetry. in the transition between classical poetry and contemporary poetry, At the literary level, this form became a main format for simplifying images and and changed its elements . The analysis of aesthetic developments of contemporary poetry shows that the Rhetoric that found stylistic characteristics in the new poetry were tested by Nima before that in this format. n this article, in a descriptive and analytical approach, have been analyzed the evolutions of Imagery contemporary poetry from the Couplets form to the Nimaa'i poem in the poems of: Mehdi Akhavan-Sales, Forough Farrokhzad and Nusrat Rahmani. poets wrote poetry in the form of Couplets Before new poetry. The results of the analysis of their Couplets show : simplicity of images, replacement of new elements instead of old elements in the imagery, subjectivity in the image, attention to the vertical axis and the extent of the image in the entire poem, symbolic imagery which is one of the stylistic features of The aesthetics of new poetry is developed in their Couplets and has found a stylistic feature in the form of new poetry.

The sustainability of a firm's performance is very essential for its long-term success. Technological advances in the last few decades have changed the performance of most organizations. Meanwhile, Industry 4.0 technologies have created opportunities and challenges for firm sustainability, including small and medium-sized ones. The dynamic and competitive environment of today's industries has caused small and medium-sized firms to think beyond their resources and to take advantage of the opportunities of new technologies, do their best to improve their capabilities and performance. The current research was conducted with the aim of investigating the impact of big data on sustainability firm performance with the mediation of new product development capability and remanufacturing capability. The statistical population of the study is small and medium-sized firms active in Sepidrood industrial Town. Data were collected from 48 firms through a questionnaire and hypotheses were analyzed using Partial least squares regression, equation modeling method (SEM). The statistical results of the research showed that big data has a direct effect on the new product development capability and remanufacturing capability and it has the greatest impact on remanufacturing. The new product development capability does not directly affect the sustainability firm performance unlike remanufacturing capability. Also, the direct effect of big data on the sustainability firm performance was not confirmed. But the mediating role of remanufacturing capability in connection with big data and sustainability firm performance was confirmed.

Lack of trust in the supply chain is a major obstacle to the cooperation of supply chain members. The goal of this paper is to present a model for trust in the supply chain based on risk management in the pharmaceutical industry of Iran.

This research is survey and cross-sectional in terms of data collection method and in terms of the type of methods used and its nature is composite and mixed. At first, the results of previous researches were analyzed using Meta Synthesis. Twenty-six articles out of 100 articles found between 1990 and 2023 were analyzed. Next by conducting semi-structured interviews and targeted sampling with supply chain experts in Iran's pharmaceutical industry using thematic analysis approach. The results of meta-synthesis and thematic analysis were combined and risk factors of Iran's pharmaceutical industry supply chain was identified. After analyzing the validity of the results with the method of Content validity ratio, a model including ten factors was obtained as the final risk-creating factors of the Iranian pharmaceutical industry.

The first category, the factors in which there is trust, were: the complexity and incompatibility of information systems, low quality of raw materials and products, the technologies of the distribution sector, the increase in the price of raw materials and medicine, transportation and insurances. The second category risks are environmental factors, demand fluctuations, Lack of timely supply of raw materials, unavailability of medicine and its timely delivery, currency supply, foreign financial payments.

The results of the research showed that there is the highest level of trust in the factors: the increase in the price of raw materials and medicine, transportation and insurance and the lowest level of trust in: the complexity and incompatibility of information systems, the low quality of raw materials and products, as well as distribution technologies. In the factors, demand fluctuations, lack of timely supply of raw materials, unavailability of medicine and its timely delivery among the beneficiaries, there is no trust and the level of risk is low. Environmental factors, currency supply and foreign financial payments were the most important risks that should be prioritized in risk management.

Semiconductor quantum structures are one of the advanced sources in light production, and applying impurities to them causes changes in their electronic and electro-optical properties, so investigating their properties is of particular importance. The title of a new research subject with many applications has attracted the attention of scientists and industrialists. In this study, the electronic properties of a spherical quantum dot made of gallium arsenide and two spherical quantum dots made of indium arsenide inside the gallium arsenide quantum sphere have been investigated. First Schrödinger's equation was investigated in the mentioned structures by using finite element method and effective mass approximation. The obtained results such as eigenfunctions and energy eigenvalues and other physical properties have been compared with the results obtained from previous similar works. Then, the effect of impurities on the electronic properties by using the self-consistent Poisson-Schrödinger equation, has been obtained and compared with the results of solving the Schrödinger equation in boundaries conditions. The software used in this review is Comsol. The obtained results indicate that the effect of impurity and the radii of the internal nanostructures on the electronic properties of the nanostructure are significant. As a result, by changing the mentioned parameters, it is possible to calculate the energy difference between the first excited state and the ground state. Results show that according to energy difference, it is possible to design infrared detectors with a relatively wide range.

Achieving a sustainable value network for the distribution of oil products is one of the main goals of the National Iranian Oil Products Distribution Company. But this path has always faced challenges and obstacles. The purpose of this research is to analyze the relationships between the elements of the sustainable value network of oil products distribution and determine its most important categories in terms of importance (influence and effectiveness). In terms of purpose, the research is applied, and in terms of data collection, it is descriptive, and fuzzy cognitive mapping method was used to analyze relationships. The data were collected through a questionnaire and semi-structured interview of 10 experts who were selected purposefully, and the results of the analysis were presented in the form of a graphic display of cognitive maps that include the relationship between categories. The results showed that the categories of sustainable value network; Re-engineering of structure, process and systems; product consumption management and stakeholder management are respectively the most important and should be given special attention.

The purpose of this study was to analyze the effects of parenting style and practice of religious beliefs of families on individual, social and educational characteristics of students. This research In terms of purpose, is Practical And in implementation method, is Descriptive in type of correlation (Regression). The statistical population of this study includes all second year high school students in Qom in the academic year 1399-99 (approximately 15 thousand male and female students). The statistical sample of the study includes 375 students (according to Morgan table) who were selected and studied in a cluster-random manner. The research instruments included Bamrind (1972) Parenting Styles Questionnaire, Religious Beliefs Questionnaire (2000), Neo Personality Traits Questionnaire designed by McCrery and Costa (1985), The Wieland Social Development Scale, and Pham & Taylor (1999) Academic Performance Questionnaire. The validity of the questionnaire was confirmed by the professors and their reliability was reported to be satisfactory. To analyze the data in the descriptive statistics section, descriptive tables and graphs were used to express the demographic and descriptive characteristics of the research. The results of the present study showed that parenting styles and practice of religious beliefs of families affect the individual, social and educational characteristics of students. Thus, the better the parenting styles of the parents, from the authoritarian style to the logical authority style, the better the students 'academic, social and academic performance, and on the other hand, the better the students' religious beliefs, the better the academic performance. Students' social and educational conditions improve.

Health status is undeniably one of the most critical indicators of social development and progress. Providing healthcare poses a significant challenge for human life, and managing the healthcare supply chain is of strategic importance. The aim of this research is to analyze and compare the results of meta-synthesis with thematic analysis in identifying the risks of the pharmaceutical industry's supply chain.

This research follows a qualitative approach, utilizing both meta-synthesis and thematic analysis to identify supply chain risks in the pharmaceutical industry. In the first step, a meta-synthesis and systematic review of related studies over the past twenty-three years were conducted, identifying one hundred articles, which were refined to twenty-six key articles for the research. In the next step, risks specific to Iran's pharmaceutical supply chain were identified through thematic analysis and semi-structured interviews with experts, using targeted sampling. Finally, the results from these two approaches were compared and analyzed.

The meta-synthesis approach identified ten general supply chain risks in the global pharmaceutical industry. Similarly, the thematic analysis approach identified ten specific supply chain risks in Iran's pharmaceutical industry. Six risks were common to both approaches: low quality of raw materials, complexity and incompatibility of information systems, supply of foreign currency and financial payments, transportation and insurance issues, increase in the price of raw materials, and unavailability of medicines. These common risks are critical for both the global and Iranian pharmaceutical supply chains.

Stakeholders in Iran's pharmaceutical supply chain (including hospitals) should prioritize managing these six common risks to improve supply chain performance. Additionally, they should focus on the four unique risks identified through thematic analysis specific to Iran's pharmaceutical supply chain, applying appropriate control measures and activities.

Using network data envelopment analysis (NDEA) models to assess the efficiency of Decision Making Units (DMUs) is a widely accepted method in academic research. An ongoing challenge in this field involves the computation and implementation of enhancement solutions within homogeneous clusters utilizing Machine Learning techniques. The primary aim of this paper is to identify the optimal clustering algorithm for a two-stage sustainable supply chain within the petrochemical industry in Iran. Subsequently, the application of NDEA within each cluster aims to ascertain efficiency levels and devise improvement strategies to facilitate a more targeted development approach for inefficient units. This paper investigates the best clustering algorithms in the area of Machine Learning by using quality measurement indicators and using Network Data Envelopment Analysis (NDEA) for measuring the efficiency of DMUs with sustainability approach. Upon examination, it has been determined that the Deep Embedded Clustering algorithm yields the most favorable results when applied to the data set. Furthermore, the comparison of the clustering result with the standard NDEA model has demonstrated the utility of clustering and comparing units in homogeneous categories for the purpose of efficiency calculation and determining the distance to the efficient frontier. This article, showed that how to find the best algorithm for two-stage supply chain clustering. Also, by comparing the effect of clustering on measuring the distance of inefficient units to the efficiency frontier, it was shown that clustering of units can play a significant role in planning to reach a practical development plan in each cluster.

Child abuse by parents is a very painful phenomenon for children and society, which turns the family environment into an unreliable environment for children .The purpose of this research was to investigate the causes of child abuse in mothers with a history of child abuse based on the opinion of experts from social emergency centers in Isfahan city. The population of this study was specialists working in social emergency departments and health  care centers in 2022. The method of selecting participants was purposeful among the personnel working in social emergency centers and health. The criterion of the number of participants was based on the principle of data saturation. The method of data collection was semi-structured interviews that contained questions related to the experience of experts in the field of factors related to child abuse. The data obtained from the interview were analyzed using the network theme analysis method of (Clarck & Braun, 2019). Results showed that the causes of child abuse include three main categories; Child- oriented causes (causes related to the health and growth of the child and how the child is accepted in the family), family- oriented causes (socio-economic causes in the family and personal and psychological injuries in the family) and society- oriented causes (causes related to law and planning and it can be concluded that in order to prevent child abuse, the three causes of child-centered, family-centered, and community-centered should be considered as the main factors and preventive strategies of child abuse should be designed based on these factors.

The relationship between Industry and the University is one of the topics that has been given a lot of attention in Iranian society in the last few decades and many researches have been done in this regard. This paper uses a systematic literature review (SLR) with the aim of categorizing and summarizing the literature in the field of cooperation between industry and university. This research as a qualitative study, uses PRISMA method and theme analysis technique and Atlas TI software. It investigated a systematic review of the papers published in journals in the field of cooperation between industry and university in Iran business and knowledge ecosystems from 2011 to 2020. After going through the four steps proposed in the systematic review method, 97 papers from different journals remained, which were coded and analyzed. A thematic network of factors raised in the field of communication between business and knowledge ecosystems (industry and university) was presented. Based on the results, all the different factors mentioned in the studies carried out in a decade in Iran can be categorized into five general factors, which are "goals of cooperation", "obstacles to cooperation", "models of cooperation", "cooperation channels" and "cooperation enhancers".

  Markets have always been a place for social movements or have been affected by them. In the current era, when two digital changes and the networking of communications have affected the social interactions of human societies, new markets have been built after the old markets, which have brought to the fore the characteristics of the old markets, similar or different from it. A strike as one of the functions or malfunctions of the market, as it has been the focus of researchers in traditional markets, is a phenomenon that requires new studies to understand it on the basis of new markets. Since online stores on the platform of social media can be seen as a manifestation of these markets, the present research was conducted with the aim of knowing one aspect of the forced strike process of online stores caused by social movements, on the platform of social media.

data collection was done by the method of library studies and data analysis was done with a descriptive analytical approach through the application of message market theory in the research literature.

From the results of this research, we can count some cases, including the expression of the special capacity of this space in providing multiple social roles in a market to the members of the movement.

The consequence of the formation of the special capacity of the social media space is to reduce the costs of protest movements in bringing online stores to strike and increase the coefficient of their protest on the platform of social media.

The purpose of the current research was to analyze the effects of parenting style and adherence to religious beliefs of families on the individual, social and academic characteristics of students, considering the mediating role of the media. This research is descriptive of the correlation (regression) type in terms of its purpose, application and method. The statistical population of this research includes all the students of the second year of high school in Qom in the academic year 2018-2019 (about 15 thousand male and female students). The statistical sample of the research includes 375 students (according to Morgan's table) who were randomly selected and examined. Research tools include Baumrind's parenting styles questionnaire (2010), religious beliefs questionnaire (2019), neo personality characteristics questionnaire designed by McCree and Costa (2012), Vineland social development scale, Pham and Taylor's academic performance questionnaire (1999) and researcher-made questionnaire. It was the use of mass media. The results of the present research showed that at the level of 0.99, parenting styles and adherence to the religious beliefs of families and the media have an effect on the individual, social and academic characteristics of students, and considering that the values obtained from the Sobel test are more than is 1.96.

The purpose of this research is to provide a practical model that seeks to identify the components of the sustainable value network in the oil products distribution sector and also to develop a basic theory useful for experts and academics. In terms of purpose, the research is applied, and in terms of data collection, it is descriptive and exploratory research. The grounded theory method was also used. In this research, in order to collect data, an in-depth interview was conducted with 15 experts of Iran's National Oil Products Distribution Company. First, the purposeful sampling was judgmental, and then snowball sampling was used to achieve theoretical saturation. From the obtained data, the research model was formulated and finally the paradigm model was classified in the form of six main categories, 34 sub-categories and 218 characteristics. In this research, the dimensions and components affecting the sustainable value network were comprehensively explained in the form of a coherent structure and the required management processes were defined.

Widespread dissemination of "fake news" that deceives users and diverts society has become one of the major media threats in today's society. The ability to detect fake news is essential for the community, especially librarians as information service providers, to identify and counter fake news. Media literacy is one of the important factors that can play a role in this field; In fact, one of the most important ways to deal with this threat is to equip librarians with media literacy facilities. So, the purpose of this study was to investigate the role of media literacy in the ability to detect fake news by librarians of public libraries in Kermanshah province.

The present study is applied and has been done by survey method. The statistical population of this study consists of librarians of public libraries in Kermanshah province (170 people) from which (118 people) were selected through the Morgan formula by simple random sampling. To collect research data, a questionnaire on the ability to detect fake news (Ismaili, Rahimi & Moradi, 2019) and a media literacy questionnaire (Falsafi, 2014) were used.

Based on data analysis, media literacy with an impact factor of 0.47 on the source review, an impact factor of 0.24 on reading the news text, an impact factor of 0.37 on the author's diagnosis, an impact factor of 0.45 on the review of support sources, with An impact factor of 0.41 on the study of the date and time of news, with an impact factor of 0.30 on the study of humor or seriousness of the news and with an impact factor of 0.35 on the reference to personal beliefs and prejudices. However, it did not play a role in asking questions from experts, and with an impact factor of 0.51, it is effective on the overall scale of the ability to detect fake news.

Given the effectiveness of media literacy in increasing the ability to detect fake news, training, and necessary measures should be taken to improve media literacy to increase librarians' ability to detect fake news. Detecting fake news is a set of skills that librarians actively use to identify fake messages and determine the authenticity of the messages. Librarians who can detect fake news are less vulnerable to fake news. They identify news that is designed and sent to influence them at different levels. The results of this research can be used in the long-term planning of public libraries in the country.

Tourism clusters refer to a collection of tourism business units concentrated in a geographical area and have specialized cooperative relationships Many countries use clustering strategy to overcome existing problems and tourism businesses. The aim of this study was to cluster villages with tourism potential in Tabas city. The research method is descriptive-analytical research and its dominant approach is survey. Library and field methods have been used to collect data. The statistical population of the study consisted of 36 villages with tourism potential of Tabas city in South Khorasan. In order to cluster the villages, the opinions of 30 experts (cultural heritage, bakhsh and governor's staff, etc.) were investigated. Also, ARRAS model was used to rank the villages and GIS software was used to show the results and clustering of villages. The results show that the villages of Hodar, Jowkhah, Izmighan, Crete, Dastgaran, Nayband, Esfandiar, Zenoghan, Robat Khan, Halvan, Dehno and Arababad have strong potential to attract tourism. And the high-quality villages, Khoroulia, Pikweh, Malvand, Hassan Abad, Kordabad, Nosratabad, Pirhajat, Chirok, Sarand, Mawader have less potential to attract tourists.

The measurement of the elemental composition of historical pottery is of particular importance. By examining the elemental composition of the body and glaze of historical pottery, one can obtain valuable information regarding the determination of raw materials and their diversity, as well as techniques employed in the manufacturing of these historical objects. In this research, 12 samples of the mina'i pottery from Alamut Castle, dating back to the 11th to 13th centuries AD, have been studied using ion beam analysis techniques. In this study, the elemental composition of the body, various pigments used in the paintings, and also the baseglaze have been measured using the micro-PIXE. Additionally, the thickness of the gold layer applied on the surfaces of some of these potteries has also been studied using the micro-RBS method. The purpose of conducting this research is to provide appropriate answers to the following questions: What raw materials have been used in the manufacturing of the body and glaze of these objects? What sources have supplied the raw materials used as fluxes? Also, what coloring agents and elements have been used to create different colors in the baseglaze and decorative paintings? Measuring the thickness of the gold layer used in these decorations is also one of the goals of this research work. Based on the results obtained from the elemental composition of the body and glaze of these potteries, it can be concluded that different sources of silica and fluxes have been used in the manufacturing of Alamut Castle mina'i potteries. Also, the coloring agents in producing red, white, blue, and turquoise pigments have been identified as Fe, Sn, Co and Cu elements, respectively. Moreover, the micro-RBS shows that the thickness of the gold layer used in decorations varies from 300 to 800 nanometers in the samples.

In recent years, concepts such as the fifth generation university, the fifth generation of industry and society have been continuously raised among the researchers. The university's success in the fifth mission and formation of the fifth generation of industry and society requires considering that both university and industry are the main actors of knowledge and business ecosystems. Without considering the comportment of these actors in the context of ecosystems, it is impossible to form a proper communication process between these institutions. Therefore, the paper aims to develop a conceptual model to explain the cooperation between knowledge and business ecosystems. This research is interpretive from a philosophical point of view and inductive from the point of view of theory development. The research strategy is "Grounded Theory," which presents a conceptual model. The systematic procedure of Strauss and Corbin was used to create a suitable structure for better understanding and classification of data and findings. Two methods, Member Checking or Participant Feedback and Review by External Audit, were used to check the validity of the data. Furthermore, a fixed index or re-test reliability was used to check the reliability of the research findings. The results show that to form cooperation between industry and university as the main actors of business and Knowledge ecosystems, 18 key and vital categories should be considered. A conceptual model is presented to describe the relationship between these categories.Originality/Value: It can be claimed that despite the studies conducted in the field of cooperation between industry and university, a model for this cooperation has not been developed so far, and only the challenges of this cooperation have been discussed, or a series of concepts have been discussed. In this research, an attempt has been made to present such a model by taking into account theories such as ecotone and ambidextrous organization, and various aspects of this cooperation have been investigated.

During the last decade, innovation ecosystems have become essential not only for businesses correspondingly for governments aimed at national economic and social development. For this purpose, the current research has analyzed the country's innovation ecosystem based on the views of a policy maker during the eight-year period of activity in this field. According to this goal, qualitative research design and thematic analysis method were used. A number of 235 videos containing their talks in meetings and interviews about the country's innovation ecosystem were analyzed. The findings of the research include eight main themes (influence on society, the role of the government, the foundation of knowledge-based economy, investment, government obstacles, communication and interactions, the mechanism of change and the spread of innovation) and 23 sub-themes and 103 open codes. Also, due to the importance of High-level state documents in drawing the desired future and determining goals, strategies and innovative measures, the collected themes were adapted to 12 High-level state documents and the result indicated their compatibility with these documents. Based on the analysis of findings, three main issues can be concluded. First of all, the government, by expanding the scope of its activity in the ecosystem of innovation, simultaneously fuels the increase of extensive bureaucracy in it, which shows the paradox between the role of facilitating and removing the bureaucratic obstacles of the government. Second, despite the view of connecting knowledge to the country's economy, its macro effects in indicators such as productivity growth rate and solving society's problems are still weak. Thirdly, due to the small amount of domestic investment (public and private sector), the entry of foreign investment can accelerate the development of the innovation ecosystem.

Children are always the most vulnerable group of society, who are not able to fully protect and support themselves due to various reasons, including their young age and lack of sufficient skills, and they need the support of adults, especially their parents. The aim of this research was investigating the effectiveness of child abuse copping parenting training on, parenting stress and children's behavioral problems in mothers with a history of child abuse in Isfahan.

The research method was a semi-experimental pre-test-post-test-follow-up with control group. For this purpose, 30 mothers with a history of child abuse were available selected among the clients of social emergency centers in 2022 and were randomly assigned in two experimental and control groups. Subjects of both groups answered parenting stress questionnaires and children's behavioral problems in the pre-test, post-test, and two-month follow-up stages. The experimental group received eight 60-minute sessions of Child abuse copping parenting training twice a week. The control group did not receive any training during this period to analyze the data using descriptive statistical methods (mean and deviation standard) and inferential (repeated measurement analysis of variance) were used.

The results of repeated measurement analysis of variance showed that Child abuse copping parenting training reduces parenting stress and children's behavioral problems in mothers with a history of child abuse (P<0.05).

According to the results, it can be said that one of the effective ways to reduce parenting stress and children's behavioral problems in mothers with a history of child abuse can be Child abuse copping parenting training.

 New technologies have profoundly changed the way people communicate and interact with their surroundings. These technologies affect every industry. Now, if according to the common definition, we define the supply chain as a set of interconnected activities that include coordination, planning and control of products and services between suppliers and customers. Looking at technological advances, we realize that these traditional structures are no longer self-sufficient, because digitalization has affected almost all aspects of human life, especially supply chain processes. The technologies of the fourth generation of industry represent the industrial revolution that has combined the Internet of Things with automatic systems such as artificial intelligence and its subset of machine learning, which are self-adjusting and self-learning. Such technological systems can change the supply chain from a centralized state to a distributed state, in fact, the deployment of these technologies provides distribution and decentralization for supply chains. The globalization of the economy and the increase in commercial competition have increased the importance of using innovative methods to achieve the goals of the supply chain. With the automation of processes, business activities have moved from manual operations to electronic transactions and all organizational processes have benefited from information and communication technologies. Considering that the design of most processes is at the disposal of centralized centers; There are always problems such as: poor efficiency, coordination at a low level and poor cooperation between the departments of a business unit, the emergence of distributed frameworks such as the blockchain platform and 4.0 generation technologies in addition to Organizations are helped in having complete transparency in transactions and cooperation with each other. They can share transactions on a peer-to-peer page. The purpose of research is to identify the components of the intelligent distributed supply chain and provide the structure of causal relationships for them, as well as the analysis of each of them in the framework of the presented structure. In the present research, codes and categories were first identified using the grounded method, and then the fuzzy cognitive mapping method was used to determine causal-effect relationships.In order to design the structure of the cause-effect relationships of the components of the intelligent distributed supply chain, it was extracted according to the fuzzy cognitive mapping method. Collective mapping was obtained by calculating the average of experts' opinions. According to its components, distributed decentralized supply chain can lead to improvement in information flows, promote healthcare and provide fair access to medical services. Also, assigning treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company. High rents in the supply, prescription and treatment of the country to a great extent. The components of the correct implementation of the guidelines for hazardous drugs, the correct implementation of GMP rules, improvement in demand forecasting, correct and timely response of suppliers and suppliers, transparency and traceability, reduction in executive costs, Reducing the risk of implementing projects and carrying out contracts, behavioral data analysis algorithms, error and fraud detection algorithms, processes of identification, discovery, analysis, redesign, implementation and deployment, execution and monitoring, analysis of purchase plans and Procurement provides the possibility of tracking the information, political, monetary and back and forth flows of medicine, which represents its supply and demand among the manufacturer, government sector, patients, pharmacies, insurers, retailers of raw materials and importers. and reduces the possibility of fraud and corruption.Also, allocating treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company. High rents in the supply, prescription and treatment of the country will be reduced to a great extent, which can be more effective for special and incurable patients, we know for certain that the required medicine for import and production, it is difficult and sometimes impossible to correctly identify and choose, with these created solutions, transparency is determined in whether the goal of the treatment program has been taken into account. Because we know that the distribution of special benefits is under the control of government officials and they define the priorities of subsidy allocation according to their decision-making power; This can be considered as one of the cases of corruption in the country's pharmaceutical industry. In the end, the improvement in the stock of raw materials and finished products, the non-issue of licenses for non-hazardous production lines in line with the production of hazardous drugs, the non-importation of domestic similar drugs, the elimination of middlemen and backdoors, the transparency of production costs. Transparency in contracts, transparency in the interests of the involved parties, transparency in payment to pharmaceutical companies, transparency in payment of pharmaceutical centers to drug dealers, transparency in pharmacy drug items, transparency in the risks after taking drugs, transparency in the way the budget is spent, The transparent and traceable payment system makes it clear whether the distribution and granting of licenses to natural or legal persons is done based on legal criteria and competently, while the government authority and decision-maker to avoid disclosure or The monopoly of the market cannot limit the transaction within the circle of friends and acquaintances, the benefit of political influence for the production of drugs and the distribution of imported drugs has been greatly reduced, the privileges have been removed from the circle of friends and acquaintances and in a competitive environment, they are given to companies. It will be real or legal that provide fair access to medical services.

This study aimed to investigate the level of information literacy in the behavior of information-seeking and republishing information in social networks among graduate students of Razi University, Kermanshah.

 The research method was applied in terms of purpose was a survey one, and the statistical population of the research included all postgraduate students of the fields studying in the affiliated faculties of Razi University, which has a sample size of 217 people and using Sampling Method Stratified randomization was determined. The research tool included a consolidated questionnaire in two parts information literacy and information accuracy in republishing information in the virtual space; Cronbach's alpha was estimated at 0.78. The normality of the research variables was checked by using the Kolmogorov-Smirnov test to test the research hypotheses, the research hypotheses were analyzed using the necessary tests. SPSS.26 software was used for data analysis.

 The findings of the research show that the average level of information literacy of graduate students of Razi University was at an average level, although the level of education of the respondents was significantly related to this level of information literacy, and the doctoral students all had an average level of literacy. The information was high. However, gender does not have a significant effect on the level of students' information literacy. Also, a significant relationship was observed between the level of information literacy and the components of data documentation and data health in the accuracy of information republished in the virtual space, but there was no significant relationship in the components of examining the expertise of the message narrator.

 In explaining the obtained results and the high level of the information need detection component, it can be claimed that the ability to detect the information needs and determine the extent and location of information plays a key role in strengthening the students' abilities. Regarding the components of critical evaluation of information, which was obtained with a lower average than other components of information literacy, it can be said that by increasing the ability to critically evaluate information, the diagnostic capabilities in republishing information of individuals also increase. The ability to critically evaluate information with skills such as the ability of reviewing and comparing information obtained from different sources, to determine the validity and correctness of the information, to detect the presence of fraud and manipulation in information causes the ability to analyze and review different and contradictory views. The set of these skills leads the students to have possibility to ensure the correctness and ability to use the information correctly. Also, improving the level of information literacy among students can help to increase the accuracy and correctness of the information republished in cyberspace. In general, the current situation of information literacy of graduate students of Razi University of Kermanshah is at a desirable level. However, since a significant relationship between the level of information literacy and the accuracy of information was reported in the republishing of information in cyberspace, it is possible to take necessary measures to increase the level of information literacy in master's degree students or even lower education levels, which will improve the performance of students. To develop knowledge and improve the accuracy of republished messages in cyberspace among students. It is suggested that the necessary decisions should be taken by high policymakers to design, implement, and evaluate information literacy for university professors, so that professors, along with presenting their specialized courses, also transfer the necessary skills related to information literacy to students.

The purpose of this study was to examine the usage status of studying on virtual social networks among undergraduate students at Razi University.

The research utilized a descriptive and correlational method. The statistical population included all undergraduate students at Razi University in Kermanshah for the academic year 2020-2021, totaling 7774 individuals. A sample size of 366 people was determined using Cochran's formula.

Data analysis revealed that the utilization rate of virtual social networks by undergraduate students at Razi University is above average and at a high level. The research indicated that the use of virtual social networks positively and significantly impacts the academic and non-academic study habits of Razi University students.

The results suggest that social networks influence students' study habits, with challenges such as slow internet speed, high costs, printing issues, lack of familiarity with sites, and filtering obstacles. Virtual social networks offer benefits such as increased access to reading materials like newspapers, books, magazines, and various websites.

Value: 

This study aims to enhance students' study levels and improve their study habits, providing valuable insights for university officials.

Media coverage of illegal cases has always been a source of controversy. which are carried out under titles such as the right to freedom of expression and freedom of access to information, or following different interpretations of the limits of the forbidden matter, become the normalization of the forbidden matters and go as far as the laws of that subject.This research concerning the “Agenda-setting theory” with the assumption of an existing positive relationship between media coverage of Intensification unlawful cases and law-breaking movement in the cinema, has studied a piece of historical evidence on this subject. The goal of this research is an inspection of the relationship between alcoholic beverage media agenda-setting in Oscar-winning movies in the years leading to the repeal of the Prohibition law in 1933 in the USA. In this regard, at first, a short history of the prohibition of alcoholic liquors, the cinema status in the Prohibition years, and the importance of Oscar awards are explained and after quantitative content analysis of mentioned movies, the findings and results are presented.