نشریه علوم و فنون مدیریت اطلاعات
سال هشتم شماره 3 (پیاپی 28، پاییز 1401)

The year 2022 will come to an end while the expectation of many researchers interested in the human genome project has been successfully fulfilled and the human genome map has been completed this year. By determining the entire sequence of the human genome, it provides a more accurate and deeper understanding of the evolution and biology of a person. Knowledge as a determining factor in the development of societies is closely intertwined with the evolution and biology of individuals. With the completion of sequencing the human genome, there will be a significant progress in the understanding of knowledge and a serious improvement in the its processes of creation, absorption, dissemination and application. The answers to many questions related to the mechanisms of knowledge creation, the transfer of relevant characteristics from one generation to another, the differences in the dissemination and application of knowledge will be determined simultaneously with this important achievement. In this article, in addition to introducing the human genome project, the impact of the completion of this project on some fields related to knowledge has been analyzed. This article can be the beginning of extensive research efforts to exploit new genetic findings in the field of human genome in improving our understanding of knowledge as well as its application in applied fields of knowledge.

The present study aims to apply the concept of visual literacy in education, explaining its shortcomings, and presenting the taxonomy of skills and competencies provided for the concept of visual literacy based on Bloom's revised educational objectives taxonomy.

The present study is applied in terms of purpose and is descriptive-analytical in nature and method. Firstly, documentary information and research literature were first collected by the library method. Then, using logical reasoning, the most important list of visual literacy standards and skills was adapted to the classification of Bloom's educational goals. As a result, a new category of visual literacy skills was obtained.

The literature review showed that the research development in the field of visual literacy could be defined in three consecutive periods, respectively: Attempting to define the concept, provide a theoretical framework and apply this concept at present time. Placement of the skills provided by institutions and researchers in the Bloom target classroom homes showed that in the table. In two homes, the qualifications and skills of the equation cannot be placed from visual literacy. The placement of the skills provided by institutions and researchers in Bloom’s revised taxonomy objectives table showed that the equivalent competence and skill of visual literacy cannot be placed in the two cells. For this purpose, to complete and present a comprehensive taxonomy of the objectives of visual literacy education, the skills of "applying visual categories and concepts" and "analysis and differentiation between visual information" were included in these two sections. Also, the adaptation showed that the focus of the skills provided for visual literacy is on more complex cognitive categories and more abstract levels of knowledge.To provide a comprehensive and integrated taxonomy of visual literacy educational objectives, it is necessary to consider all cognitive categories and knowledge levels. Finally, considering what was stated above, a new taxonomy of visual literacy skills was presented that could be applied in any relevant and required area.

In this study, three consecutive periods in the course of visual literacy research were identified. Accordingly, since the current challenge in the area of visual literacy is its application, using Bloom's revised taxonomy educational objectives, visual literacy skills and standards based on "cognitive process" and "knowledge dimensions" were leveled and completed. The new taxonomy presented in this article divides the concept of visual literacy as an educational objective into sub-objectives that reduce the scope and ambiguity of the subject. Also, with the help of this taxonomy, it is possible to promote visual literacy in the form of various educational programs, both in general education and specialized education (such as architecture and graphics).

The present study aims to provide a framework for machine learning applications in organizational knowledge management at the Keshavarzi Bank, using the fuzzy network analysis process technique.

The present study is applied in terms of the purpose and in terms of data collection, it is a descriptive survey. The statistical population includes IT and human resources development experts and managers of Keshavarzi Bank branches, from which 10 peoplehave been selected through a purposive sampling method. Data collection tools are three questionnaires: Delphi, Dematel, and paired comparison questionnaire. Descriptive and inference methods were used to analyze data and information. After data collection, raw data is first encoded and classified and converted to research variables during the fuzzy Delphi technique. Then, using descriptive statistics, the index of the center and the dispersal of the sample members of the research were calculated, and used the fuzzy and fuzzy Delphi network analysis process to examine the criteria. In the analysis of the research data, Excel and SuperDecision software are used.

Eeffective criteria and sub-criteria with knowledge management in the banking system with machine learning approach in 4 general criteria and 17 sub-criteria were identified as follows: Infrastructural factors (Protection of personal information, hardware and software, communications, physical protection), environmental factors (organizational culture and atmosphere, organizational rules and regulations, knowledge delivery time, managerial support); Content factors (type of knowledge, specialized and knowledgeable human resources, knowledge presentation position, content development); Knowledge management process (knowledge creation, knowledge acquisition, knowledge conversion, knowledge application, knowledge needs assessment).In order to prioritize the indicators with the fuzzy network analysis technique, after calculating the limit supermatrix, the results of the cluster matrix results and the normalization of the coefficient of the sub-criteria in the limit supermatrix by the clustering coefficient are based on the calculations and the limit supermatrix, The final priority of infrastructure factors with a limit weight of 0.43683 have the most impact and content factors with a limit weight of 0.04817 have the least impact on maintaining knowledge management in the banking system by considering the machine learning approach.

According to the obtained results, infrastructure factors have the most impact and content factors have the least impact on maintaining knowledge management in the banking system by considering the machine learning approach.

Knowledge is a collection of overt and hidden learnings and experiences related to work, such as ideas and creativity, skills, knowledge documents, problem-solving methods, specialized meetings content, and project criticism, which should be emphasized in their management. Although announcing the constitution of knowledge management in the public sector by the Administrative and Recruitment Affairs Organization and its necessity in its implementation is of the changes in the administrative system of the country; establishing knowledge management in organizations requires identifying possible barriers and trying to solve them. Therefore, the present study aims to prioritize the barriers to the establishment of knowledge management in the public sector in Lorestan province.

The current research is of an applied type, which was carried out with a mix-method approach. The research population includes the public sector organizations of Lorestan province, among which twelve were selected based on the indicators of education, research, and educational qualifications of the employees. The final analysis was performed on 252 returned questionnaires.

Data analysis showed that organizational structure and process (56.02), knowledge management process (32.31), leadership (31.30), employees (28.60), information and communication technology (27.32), organizational culture (26.13), and learning and innovation (24.68) are the most important barriers to establishing knowledge management in the public sector of Lorestan province.

It should be noted that the knowledge management system establishment policy in the public sector is carried out at two extra-departmental levels (the Islamic Council and the Government Board and the like) and intra-departmental (public sector organizations), and public sector organizations are the executive arms of these policies and strategies. Hence, policies are often not the result of multiple decisions; Rather, they are the result of multiple decisions made by multiple decision-makers. Accordingly, choosing the appropriate management model for establishing the knowledge management system is a dependent variable of its leadership model. Lack of independence of the public sector in reforming work  processes,instability and lack of experience of managers, non-professional decisions, lack of monitoring and evaluation system, the disproportion between programs and budgets, and factors that have been mentioned before, all will face great challenges in the establishment of knowledge management. Undoubtedly, the awareness of policymakers and executive managers about the benefits of knowledge management and their ability to establish a logical connection between various barriers and their effects on each other can be the basis for the establishment of knowledge management in the public sector. Policymakers, planners, and executive managers of the country should pay attention to all elements and the mutual relations between them in planning for the establishment of the knowledge management system; Because any changes and transformations in each pillar will not be beneficial if other pillars are neglected.

Today, automotive industries have turned to scientific achievements to apply organizational knowledge but facing shortcomings in the process, among which we can point out the lack of attention to the work experience and skills of experienced people. In the current changing and uncertain conditions, the Ministry of Industry, Mine, and Trade (MIMT) must expand its tangible and intangible resources and organizational knowledge so that it can respond to environmental changes. Therefore, they can achieve macro and long-term goals if they have a written strategic plan. The current research aims to present a strategy model for the implementation of the policies of MIMT in the automotive industry based on infrastructure factors and knowledge capabilities. The automobile industry has always been a factor of economic growth in the world economy and has taken a significant part of the added value of many advanced and emerging countries.

The population was automotive industry managers with expertise in knowledge management and executive managers. Using targeted snowball sampling, 20 people were considered as samples. Data was collected using a semi-structured interview tool. Based on empirical observation and library studies, the strategic model of policy implementation was identified. 72 criteria were divided into 24 categories and finally 6 core codes of the database model, and finally, a qualitative model was presented using the database model.

Results show that the automotive industry, as a mother industry with a medium level of technology, is considered one of the drivers of the country's industry, mining, and trade sector and is among the priority and selected industries in the production and trade sector in order to achieve the goals. It is included in the country's vision document. According to the executive policies determined in this industry, especially the policies of focusing on the quality and reducing the finished price of the products, along with the increase in production and also the improvement of the business environment for direct foreign investments and joint ventures with companies with world-renowned brands. It seems that the automotive industry of the country can present its products in the selection basket of buyers at the international level.

The automotive industry has a significant role in Iran's economy due to its wide connection with other industries, high production, and employment generation. Therefore, it is very essential to improve policy-making and strategizing in this industry. The characteristics of knowledge and learning bring a new strategy creation methodology. The automotive industry can identify the application of knowledge in the implementation of organizational policy as a factor of superiority in the competitive market.

The current research aims to evaluate and analyze the widely used ontology production software in representing concepts to select the most appropriate software.

This research was conducted in terms of applied purpose with a quantitative approach. The research method was evaluative and descriptive. The statistical population consists of five ontology production software including Apollo, Onto Studio, Protégé, Swoop, and TopBraid Composer Free Edition. In this research, due to the lack of a suitable evaluation list in the field of the research topic, by studying the resources about ontology software and guides, an appropriate evaluation tool was prepared. The data collection tool was a checklist whose formal validity was confirmed by information science experts. This list is divided into seven sections: important components of ontology software, input format component, language representation component, Software architecture and structure criteria with sub-indicators of components of interactivity, stability, availability, ability to be installed on a variety of platforms, the basic language of the software, and the component of interaction and interaction with the software related ontology and ontology storage format. Descriptive statistical techniques such as weight average and percentage were used to analyze the data.

The results of the research findings showed that Protégé with 177 points out of the total points in terms of components studied in this research in the first place and Onto Studio software with points 126 of the total points is in the next rank. Finally, Top Braid Composer Free Edition software is in third place in terms of the components studied in this research, with 87 points out of the total. In examining the interoperability component of ontology software, two software includes, Protégé 5.2.0 and Onto Studio had interaction with other software with 41.66%, which is one of the strengths of this software. The Apollo and Swoop software do not interact with any of the different software and it can be considered one of their weak points of them.

This study was able to show some of the strengths and weaknesses of ontology software based on the evaluation of the studied components of ontology software. Andwhat is the status of the studied software in terms of its relationship with other software in the field of ontology and how is their interoperability? Also, the research results will help researchers in this field select the most appropriate ontology software to produce and represent concepts.

The development of information and communication technologies has made it possible to reuse the research data of researchers in conducting new studies. Data sharing occurs when scientists make their data available for use by other researchers to conduct research or other research activities. The current research aimed to investigate the status of research data sharing among researchers in Iran in the technical and engineering fields from the individual, organizational and technical dimensions.

This research was applied in terms of purpose and descriptive survey in terms of the data collection method. The research population consisted of Iranian researchers in the field of engineering in Iran who had scientific production in the WOS database in 2021. Due to the lack of email registration of all the authors, it was not possible to accurately estimate the statistical population. Therefore, to determine the statistical sample using Cochran's formula, 411 people were randomly selected from the population. The data collection tool was a questionnaire designed electronically and sent to the statistical sample. SPSS software was used to analyze the findings.

The results showed that organizational and technical factors have a significant effect on the individual's behavior in sharing research data. Technical factors had a greater impact on individual behavior than organizational factors. Individual factors had no significant effect on data-sharing behavior. Also, the relationship between hidden technical and organizational factors was positive and significant. In addition, the findings showed that gender has a significant effect on individual factors and researchers' job has a significant effect on organizational factors. There was no significant difference between demographic variables including age, work experience, academic rank and degree, and technical, organizational, and individual factors. In addition, the research results showed that many researchers consider the concern about the time-consuming nature of data, misusing, and misinterpreting shared data as reasons for not wanting to share research data. Despite the requirement for the researchers in this field to deliver the research data and the relative provision of hardware and infrastructure facilities to implement this, the appropriate training courses for training management and data sharing are not conducted by the organizations.There was no adequate financial or intellectual support, and no proper infrastructure for sharing data in publications. Technical factors affecting the sharing of research data, such as the familiarity and use of metadata standards for data sharing and accessibility, as well as the familiarity and use of thematic, public, and organizational repositories were in an unfavorable situation.

Considering the research results and the research data sharing and related factors among the researchers in the field of engineering and technology have been neglected, it is necessary for the research stakeholders in the field of technology and engineering to receive appropriate organizational, technical and financial support in order to increase knowledge and willingness of researchers to share data. Furthermore, creating culture-building and understanding the capabilities of research data is also required to provide the necessary training to researchers in the field of engineering.

Today, in the field of the semantic web, valuable activities have been presented inside and outside the country on the concepts of the ontology. So far, most studies conducted in Iran have focused on theoretical points and definitions, and practical examples conducted by Iranian researchers have rarely been mentioned. An integrated evaluation of the produced Iranian ontology is essential to create a correct understanding of the concepts and operations required for the production of ontologies. The current research aims to analyze the Iranian ontologies to identify their strengths and weaknesses from the development to application for semantic Persian information retrieval.

The present study is applied in terms of purpose and descriptive survey in terms of the data collection method with an analytical approach. The statistical population includes six Iranian ontologies freely available or has been published in the form of articles, theses, and research projects. These ontologies include Shahnameh, Burhan, Atmospheric Qur'an, Furqan, Science, and computer attacks. In this research, the softwares for creating and displaying ontologies based on the list created by the researcher have also been examined. The data collected from ontologies using a blacklist was the basis of the information analysis that has been discussed. In order to collect data, internal databases were used as well as interviews with the teams producing the ontologies. The sampling method was purposive and the content-form validity of the data collection tool was confirmed by sending it to 4 ontologists and was used after making corrections.

The results showed that the movement towards ontology in the Iranian scientific community has been expanding in various fields, including Islamic sciences (such as jurisprudence) and ancient Persian texts (such as the Shahnameh) to new areas such as Scientology, which indicates the implementation of ontology in various topics. The problem that exists in most Persian ontologies is their lack of development and updating. Also, the ontology maker software are very similar in terms of base and are generally expandable; But they also have differences. Some software support the inference engine, but some are more powerful in displaying ontology and providing different outputs.

In this research, the development mechanisms and software tools used in the production of Iranian ontologies along with the evaluation of their facilities and capabilities were discussed and investigated with an analytical approach. Based on the evaluation of the examined components, this research was able to discuss the ontology software in addition to examining the Iranian ontologies and presenting some of their strengths and weaknesses. The results of the research allow managers and researchers to have a correct understanding of the concepts and operations required for the production of ontologies.

The present study aimed to study the relationship between information literacy and the use of information technology with the performance of sports coaches (public and championship) in Qom province.

The research method is a descriptive correlation. The statistical population is all the sports coaches of the active committees in Qom province. For the sample size, 215 people were randomly selected based on Morgan's table. The measurement tools were Lieberman's (2005) standard scale of the role of information technology in sports and two researcher-made questionnaires to measure the use of information technology and performance, which their validity and reliability were confirmed. Research data were analyzed using descriptive and inferential statistics (independent and one-sample t-test and Pearson correlation coefficient) in SPSS-22 software.

The results showed that there is a positive and significant relationship between information literacy and information technology use with the performance of sports coaches. Also, there is a significant difference between the opinions of the coaches in the two dimensions of the championship and the public in the information literacy variable, but no significant difference was observed in the amount of information technology use (P<0.05).

Information literacy and information technology are effective in increasing the performance of coaches.

Knowledge management and employee engagement are among the factors that lead the organization to gain a competitive advantage, increase productivity and improve performance. The present study aims to determine the relationship between nurses' engagement and knowledge management at Firoozabadi Hospital in Tehran.

The present study is surveyed in terms of data collection. In terms of the research method, it is a descriptive correlation. The research population was nurses working at Firoozabadi Hospital, of which 132 were selected as the sample. The data were collected in the spring of 2020 using Jashapara’s knowledge management and Utrechet’s employee engagement questionnaires. SPSS and Liserl software and T-test, Spearman correlation, correlation coefficient, and structural equation modeling were used for data analysis.

The results showed that the status of knowledge management at Firoozabadi Hospital was lower than the average level. Among the dimensions of knowledge management, the knowledge discovery, knowledge creation, knowledge organization, and knowledge sharing dimensions are lower than the average, and only the knowledge application dimension is at a moderate level.The nurses' engagement is at a medium level. There was a positive and moderate relationship between knowledge management and its dimensions and nurses. The engagement has the highest level of correlation to the knowledge application. The least correlation is dedicated to knowledge creation. Nurses' engagement has no relationship with gender; But the nurses' engagement has a significant relationship with their positions.The nurses' experience and education are not related to their engagement. Nurses' knowledge management was related to gender, position, and education, but there was no relationship between service experience and knowledge management. Engagement affects all aspects of knowledge management and has the most effect on knowledge sharing and the least effect on knowledge application.

Hospital administrators can improve organizational performance, guarantee the quality of patient care, and better clinical services by paying more attention to the nurses' engagement and the impact it can have on the improvement of knowledge management programs. This requires strengthening the subscription infrastructure, organizing, creating, discovering, and applying knowledge through the formulation of knowledge management and operational management programs such as creating an integrated knowledge management system, funding for technological facilities and knowledge resources, and creating a reward system. Financial and non-financial incentives and incentives are focusing on the potential of hospitals and health centers to implement knowledge management programs and create clinical and educational opportunities for new knowledge.

False or unconfirmed information is published on the web like accurate information, so it can become viral and influence public opinion and decisions. Fake news and gossip show the most popular forms of false and unverified information, respectively, and they should be detected as soon as possible to avoid significant effects Interest in effective identification techniques has been increasing in recent years.The problem of detecting fake news is known as a classification problem in natural language processing and text mining, and its purpose is to distinguish fake news from real and extracted texts, and to improve the accuracy of detecting fake news is the main issue of this research. Convolutional neural networks, as one of the most important models of deep learning, have gained high accuracy on these issues. These networks include problems such as not considering the position of words, which is solved by using the capsule network, and in order to achieve optimal accuracy, two problems of heavy processing of all connected layers and reducing the parametric space using the algorithm XGBOOST and particle swarm optimization (PSO) algorithm are proposed.

This study is an applied research in which about 42,000 Persian news from different cities of Iran were collected from Twitter and using additional methods of cleaning and preprocessing, additional information was removed and after tagging, the news was ready to be used for the proposed approach using Python software and related libraries are equipped with machine learning and deep learning algorithms.

During testing, some machine learning algorithms had more power in classification problems, but with the changes in the structure of the convolutional network and Capsul network algorithm, better results were obtained than machine learning algorithms and other similar algorithms.

The proposed solutions in this research in comparison with the approaches of basic algorithms or solutions to solve the mentioned problems by replacing the optimal classifier and reducing the parametric space, by changing the input has been able to achieve better and more acceptable results than other approaches. And achieve an accuracy of about 96%.

Recently, use of social media facilities in the public sector has received much attention. There have always been challenges using these services, especially in developing countries, which paying attention to them is required for governments to implement them properly. Therefore, this research aims to study the challenges of providing public services in the context of social media (e-government 2.0) with a focus on developing countries.

The current research is a mixed study. The thematic analysis method was used in the qualitative part of the research. The statistical population in the qualitative part included experts and specialists in the field of information technology and e-government. Semi-structured interviews were conducted with 16 statistical samples, selected by purposive sampling, until theoretical saturation. A survey method was used in the quantitative part of the research. The statistical population included professors and doctoral graduates in the fields of information technology, public administration, and industrial engineering, and a simple random sampling method was used. To collect data in the quantitative section, a 21-question questionnaire with Cronbach's alpha of 0.93 was used in a sample size of 375 people. To analyze the data in the quantitative part, a one-sample T-test and SPSS25 software were used.

The research results showed that the challenges of e-government 2.0 in developing countries can be divided into three general categories: technical considerations, structural considerations, and cultural considerations. Infrastructural considerations included information factors and technical factors, cultural considerations included human factors and ethical factors, and finally, implementation considerations included managerial, security, and legal factors.

According to the findings, it can be said that there are challenges such as infrastructure, implementation, and cultural considerations in developing countries. By focusing on these challenges and trying to solve them, government managers and planners will be able to successfully implement e-government 2.0 and then raise the level of service quality and realize electronic democracy.

The tacit knowledge transfer is an interactive process based on trust between the parties. Individual motivation seems to be effective in increasing staff's willingness to transfer tacit knowledge. Accordingly, the current research studied the effect of organizational trust and the mediating role of individual motivation on the willingness to transfer tacit knowledge among public library staff.

The current research is applied based on the purpose and descriptive in terms of the data collection method. The statistical population includes all the employees of the public libraries in Fars province in 2021 (350 people), which by Cochran's formula, 142 people were selected as the statistical sample. To collect data, Fuller (2018)'s Organizational Trust Questionnaire and Individual Motivation Questionnaire were used. In order to investigate the effect of organizational trust on individual motivation and tacit knowledge transfer, confirmatory factor analysis and partial least squares technique have been used. The software used for data analysis are SPSS and PLS software.

The results show that the effect of organizational trust on the desire to transfer tacit knowledge is 0.390. The effect of organizational trust on personal motivation of employees is 0.798 and the effect of individual motivation of employees on the desire to transfer tacit knowledge is 0.437. Therefore, organizational trust and individual motivation have a direct positive and significant effect on the desire to transfer tacit knowledge of employees. But the indirect effect of organizational trust on the tendency to transfer tacit knowledge due to individual motivation is 0.349, which has decreased compared to the direct state.These results show that employees' individual motivation has a moderate effect of organizational trust on the desire to transfer tacit knowledge.

Although organizational trust and individual motivation each have a direct positive and significant effect on the desire to transfer tacit knowledge of public library staff, the mediating role of individual motivation has not increased the effect of organizational trust on the desire to transfer tacit knowledge. Therefore, individual motivation cannot be considered as an effective mediating variable in the process of effective tacit knowledge transfer.

This research aims to identify and analyze the relationship between the field of knowledge and information science with the problems of Kermanshah province from the professors' and graduates' viewpoints of this field.

The research approach is qualitative. Data analysis is done with the qualitative content analysis method. The studied samples were selected by purposive sampling method. Finally, 20 professors and graduates of the knowledge and information science field were interviewed.

The responses were categorized into three axes. The first axis was the knowledge and information science field and its dimensions, in which the interviewees' definitions of information were more in line with the traditional, engineering, and mathematical views and system-oriented approaches to information. information issues also were introduced mostly around books and libraries. The interviewees' opinions in the second axis, regarding Kermanshah province and its issues, were to have agricultural and tourism capacity for Kermanshah province which not using these capacities was introduced as one of the important issues of the province. The relationship between the knowledge and information science field and Kermanshah province and its issues were discussed in the third axis. Professors and experts emphasized on lack of applying of specialists' opinions of knowledge and information science field to solve the problems of the province.

The knowledge and information science field should be reviewed systematically and methodically in all aspects of identity, education, research, entrepreneurship, and foresight, considering the three important elements of depth, comprehensiveness, and modernity.In the development planning for the province, each area presents plans and programs in different formats, but in this planning, the information aspect has been neglected; and the professors and graduates of the knowledge and information science field do not have a plan and strategy in mind in a codified and coherent way.

The development of information technology and its use in the health system have undertaken numerous measures for the protection and promotion of human health. However, long-term threats and the recurrence of infectious diseases are still the challenges in the world. Management of infectious diseases is of paramount importance in the global health system and is very complicated. Therefore, the aim of this research is designing a model to predict the covid-19 using artificial intelligence, which will ultimately be useful for rapid detection and control of Covid-19.

To design a proposed model to analyze the spread of infectious diseases, an intelligent system is presented by combining mathematical dimensions, machine learning, and epidemiology. In this research, the target disease is COVID-19 due to its importance and epidemic. Despite extensive research on this disease, each study focused on a specific area due to its extensive dimension, and no detailed study is available on the main aspects of the disease. The research method is interpretive and exploratory in terms of paradigm and strategy, respectively, and is classified as descriptive-prescriptive in terms of implementation. The research was carried out in a seven-step process.

The results of the systematic review showed the rapid growth of documents since 2015, which can indicate the application of various fields of information technology such as the Internet of Things and machine learning in the field of public health and prevention of infectious diseases.In the algorithm, K values from 1 to 20 neighborhoods were calculated and the best accuracy was obtained at K equal to 2. Therefore, the accuracy of the algorithm is higher than 98% to predict the disease of Covid-19. After calculating the accuracy, the analysis of the confusion matrix showed that in K equal to 2, the sensitivity is 99% and the specificity is 92%.

A comparison of algorithm results shows that in addition to accuracy, sensitivity and specificity obtained for algorithm are higher than traditional methods of diagnosing infectious diseases. Also, due to not having unnecessary complex features that only increase the model implementation time, the algorithm runs in a few minutes, and therefore the detection speed is completely acceptable. High sensitivity (99%) was obtained in the DT algorithm, which is very important for the diagnosis of COVID-19 and indicates the minimum number of false negatives in the test results. Therefore, the proposed algorithm is practical for the purpose of identifying the maximum number of people infected with Covid-19.

This research aims to design a structural model of cultural development in public libraries from specialists, librarians, and managers of public libraries' viewpoints in the country.

The current research is exploratory-applied research, which was conductedfield. The research method in terms of data collection method is using the mixedresearch method, which was carried out in a qualitative-quantitative manner. The statistical population in the qualitative part includes specialists in the field of knowledge and information science, philology, and sociology, as well as managers and experts in the field of public libraries, and in the quantitative part, it includes managers and librarians of public librariesin the centers of the province who have sufficient experience and expertise in the domainof public libraries. The research tool included semi-structured interviews and a researcher-made questionnaire, which was designed according to the research objectives and methods. Qualitative interviews and theoretical foundations in the field of research were used to prepare a questionnaire. After distributing the questionnaires, 319 questionnaires were collected and the entire process of research data analysis was done in SPSS statistical software and PLS structural equations.

The findings in the qualitative part of the research were categorized through interviews including 10 main categories: access to education, continuing education, cultural identity, literacy of cultural-artistic education, per capita study, cultural health, cultural capital, social capital and national independence, and 19 sub-categories as their subsets. The findings also showed that public libraries have a positive effect on cultural development indicators, i.e. the activities and services of public libraries can lead to an increase in cultural development among the population.

The findings in the qualitative part through interviews include 10 main categories: access to education, continuing education, cultural identity, literacy of cultural-artistic education, per capita study, cultural health, cultural capital, social capital, and national independence, and 19 subcategories were classified as their subcategories. Also, the findings showed that public libraries have a positive effect on cultural development indicators, that is, the activities and services of public libraries can lead to an increase in cultural development in society.

Today, there is a huge volume and complexity of knowledge produced by the Ministry of Science, Research, and Technology, and the problems and existing problems and limitations in providing resources and providing the necessary infrastructure, especially for engineering research in industries and organizations. Applying optimal knowledge is important for exploiting research results and achievements within the context of knowledge translation. So that investment in engineering and industry groups is not wasted, and these studies will be directed to commercialization. Accordingly, the present study aimed to determine the knowledge translation status of faculty members of engineering departments at the Shahid Chamran University of Ahvaz.

The present study is applied in terms of purpose and has been developed as a survey with a descriptive approach. The research population consisted of faculty members of the Faculty of Engineering at the Shahid Chamran University of Ahvaz.

The results showed that the performance of faculty members of engineering departments in the field of “research question” with a mean and standard deviation of 19.39 ± 5.11, for “knowledge production” with a mean and standard deviation of 24.98 ± 5.96, in the field of “knowledge transfer” with a mean and standard deviation of 39.52 ± 10.34, and a mean and standard deviation of 12.04 ± 4.50 for “promoting the use of evidence”, all of which are deemed to be at the desired levels. In the final assessment, the researchers' performance status in the entire process of knowledge translation was reported with a mean and standard deviation of 95.94 ± 23.25 was considered to be at the desired level as well.

First, the Shahid Chamran University of Ahvaz must devise an appropriate structure such as a knowledge translation committee and provide the grounds for the participation of knowledge brokers in order to improve the state of knowledge translation to a very desirable level. Furthermore, the university must adapt the research organization to the extant needs by following the focused activities of the industry and community relations group.Accordingly, another remarkable factor in attaining the above end is the provision of costs and financial support for research in line with the aims of knowledge translation. In addition, the research grants for applied and operational projects can be increased, and some of the promotion and employment regulations can be directed towards knowledge translation to encourage researchers and motivate their decisions with the assistance of the Vice Chancellor for Research and Technology and the Vice Chancellor for Education.