University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 21 Investigating the Effect of Digital Skills of Academic Librarians in Tabriz on Their Attitudes Towards Technology Acceptance Investigating the Effect of Digital Skills of Academic Librarians in Tabriz on Their Attitudes Towards Technology Acceptance 1 20 102494 10.22059/jlib.2025.391234.1771 FA Hashem Atapour Department of Knowledge and Information Science,, Faculty of Education Science and Psychology, University of Tabriz, Tabriz, Iran 0000-0003-0763-8413 Sama Panbehghaleh Department of Knowledge and Information Science,, Faculty of Education Science and Psychology, University of Tabriz, Tabriz, Iran Rasoul Zavaraqi Department of Knowledge and Information Science,, Faculty of Education Science and Psychology, University of Tabriz, Tabriz, Iran Journal Article 2025 02 27 Objective: The present study aims to investigate the impact of digital skills of academic librarians in Tabriz city on their attitude towards technology acceptance. Method: The present study is a correlational study, applied in terms of purpose and descriptive survey in terms of data collection. The population of this research included all librarians employed in the three academic libraries of University of Tabriz, Tabriz University of Medical Sciences, and Islamic Azad University of Tabriz, totaling 75 individuals at the time of the study. Given the limited number of people in the population, all individuals were studied, and no sampling was conducted. The research data collection tool was a questionnaire. Results: The attitude of librarians employed in academic libraries of Tabriz city towards technology acceptance was high with a mean of 4.42. Additionally, the digital skills of librarians were high with a mean of 3.71. Librarians faced multiple challenges in acquiring digital skills. The most significant challenges were the lack of technological culture among librarians, unawareness of the digital environment and its requirements, and the lack of physical facilities and internet connection equipment in academic libraries. The examination of the relationship between the variables of attitude towards technology acceptance and digital skills of academic librarians in Tabriz showed a moderate positive correlation that was statistically significant. Therefore, the higher the digital skills of librarians, the more positive their attitude towards adopting new technologies. Conclusions: The desirable level of digital skills of academic librarians in Tabriz indicates that they are adopting to digital transformations and recognize these skills as a necessity in academic environments. Furthermore, the academic librarians of Tabriz generally have shown a mental readiness and positive attitude towards the acceptance and use of new technologies in library environments. The relationship between librarians' digital skills and their attitude towards technology acceptance emphasizes that digital skills of librarians act as a key factor in the successful adoption and use of technology in library environments. Objective: The present study aims to investigate the impact of digital skills of academic librarians in Tabriz city on their attitude towards technology acceptance. Method: The present study is a correlational study, applied in terms of purpose and descriptive survey in terms of data collection. The population of this research included all librarians employed in the three academic libraries of University of Tabriz, Tabriz University of Medical Sciences, and Islamic Azad University of Tabriz, totaling 75 individuals at the time of the study. Given the limited number of people in the population, all individuals were studied, and no sampling was conducted. The research data collection tool was a questionnaire. Results: The attitude of librarians employed in academic libraries of Tabriz city towards technology acceptance was high with a mean of 4.42. Additionally, the digital skills of librarians were high with a mean of 3.71. Librarians faced multiple challenges in acquiring digital skills. The most significant challenges were the lack of technological culture among librarians, unawareness of the digital environment and its requirements, and the lack of physical facilities and internet connection equipment in academic libraries. The examination of the relationship between the variables of attitude towards technology acceptance and digital skills of academic librarians in Tabriz showed a moderate positive correlation that was statistically significant. Therefore, the higher the digital skills of librarians, the more positive their attitude towards adopting new technologies. Conclusions: The desirable level of digital skills of academic librarians in Tabriz indicates that they are adopting to digital transformations and recognize these skills as a necessity in academic environments. Furthermore, the academic librarians of Tabriz generally have shown a mental readiness and positive attitude towards the acceptance and use of new technologies in library environments. The relationship between librarians' digital skills and their attitude towards technology acceptance emphasizes that digital skills of librarians act as a key factor in the successful adoption and use of technology in library environments.

https://jlib.ut.ac.ir/article_102494_d0c5606ee20578585cdc1ca707e0d29a.pdf

University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 30 The Role of Information Search Experience, Domain Knowledge, and User Language on Information Search Stopping Behaviour The Role of Information Search Experience, Domain Knowledge, and User Language on Information Search Stopping Behaviour 1 23 102495 10.22059/jlib.2025.390794.1773 FA Zohreh Honarjouyan Department of Knowledge and Information Science, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran Mahdieh Mirzabeigi Associate Professor, Department of Knowledge and Information Science, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran Journal Article 2024 10 27 Objective: This study aims to examine the impact of information search experience, domain knowledge, and user language proficiency on the information search stopping behavior among graduate students at Shiraz University. Method: This research is fundamental in nature and employs a quantitative methodology. The sample consisted of 80 graduate students from Shiraz University, selected based on criteria used in similar studies. Participants completed two simple and two complex search tasks in both Persian and English using the Google search engine. Their search activities were recorded using Camtasia software. The participants' level of search experience was assessed through a questionnaire adapted from Ghasemi’s (2007) information literacy questionnaire. After the content validity of the instrument was confirmed, its reliability was assessed using Cronbach's alpha, yielding a value of 0.75. Based on the scores obtained from this questionnaire, participants were categorized into three experience levels: low, moderate, and high. Participants' domain knowledge was also classified into two levels: “lacking or minimal knowledge” and “moderate or high knowledge.” By repeatedly reviewing the recorded sessions, the information search stopping behavior was identified for each task, distinguishing between good stops (stopping after finding an answer) and bad stops (stopping due to failure to find an answer). Data analysis was conducted using independent samples t-tests, one-way ANOVA, and the Mann-Whitney U test in SPSS software. Results: The findings indicated that as users' domain knowledge increased, the frequency of good stops significantly rose. Additionally, significant differences were observed in the types of search stops among users with different levels of search experience. Post-hoc tests revealed that higher search experience was associated with an increased rate of good stops. Finally, a higher average rank for stopping behavior in Persian-language searches suggests a greater occurrence of good stops when searching in Persian. Conclusions: Considering the influence of search experience, user language, and domain knowledge on the information search stopping behavior, it is recommended to implement measures such as: conducting workshops on information search skills and techniques; incorporating user language factors into personalized recommendation system models; utilizing interlingual retrieval systems; and personalizing information retrieval systems to suggest queries and deliver results tailored to users' knowledge levels. Objective: This study aims to examine the impact of information search experience, domain knowledge, and user language proficiency on the information search stopping behavior among graduate students at Shiraz University. Method: This research is fundamental in nature and employs a quantitative methodology. The sample consisted of 80 graduate students from Shiraz University, selected based on criteria used in similar studies. Participants completed two simple and two complex search tasks in both Persian and English using the Google search engine. Their search activities were recorded using Camtasia software. The participants' level of search experience was assessed through a questionnaire adapted from Ghasemi’s (2007) information literacy questionnaire. After the content validity of the instrument was confirmed, its reliability was assessed using Cronbach's alpha, yielding a value of 0.75. Based on the scores obtained from this questionnaire, participants were categorized into three experience levels: low, moderate, and high. Participants' domain knowledge was also classified into two levels: “lacking or minimal knowledge” and “moderate or high knowledge.” By repeatedly reviewing the recorded sessions, the information search stopping behavior was identified for each task, distinguishing between good stops (stopping after finding an answer) and bad stops (stopping due to failure to find an answer). Data analysis was conducted using independent samples t-tests, one-way ANOVA, and the Mann-Whitney U test in SPSS software. Results: The findings indicated that as users' domain knowledge increased, the frequency of good stops significantly rose. Additionally, significant differences were observed in the types of search stops among users with different levels of search experience. Post-hoc tests revealed that higher search experience was associated with an increased rate of good stops. Finally, a higher average rank for stopping behavior in Persian-language searches suggests a greater occurrence of good stops when searching in Persian. Conclusions: Considering the influence of search experience, user language, and domain knowledge on the information search stopping behavior, it is recommended to implement measures such as: conducting workshops on information search skills and techniques; incorporating user language factors into personalized recommendation system models; utilizing interlingual retrieval systems; and personalizing information retrieval systems to suggest queries and deliver results tailored to users' knowledge levels.

https://jlib.ut.ac.ir/article_102495_a740f0ea50f5da3b2cef3cde0b320ef3.pdf

University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 30 Identifying and Prioritizing Barriers to Knowledge Management Implementation in the Air Defense Force of the Islamic Republic of Iran Army: A Mixed-Methods Study Identifying and Prioritizing Barriers to Knowledge Management Implementation in the Air Defense Force of the Islamic Republic of Iran Army: A Mixed-Methods Study 1 21 102496 10.22059/jlib.2025.391286.1772 FA Masoud Chegeni Ph.D. in KIS, Department of Knowledge and Information Science, Kharazmi University, Tehran, Iran Davoud Haseli Assistant Prof., Department of Knowledge and Information Science, Faculty of Psychology and Education, University of Kharazmi, Tehran, Iran. Nosrat Riahinia Ph.D. in KIS, Department of Knowledge and Information Science, Kharazmi University, Tehran, Iran Journal Article 2024 10 22 Objective: This study aims to identify and prioritize the challenges, issues, and barriers associated with the implementation of knowledge management within the Air Defense Force of the Islamic Republic of Iran Army (NPAJA). Method: This research is applied in nature and employs an exploratory mixed-methods approach. In the qualitative phase, data were collected through semi-structured interviews and analyzed using qualitative content analysis to extract main categories and subcategories. The research population consisted of all commanders, deputies, managers, university faculty members, and knowledge management experts within the NPAJA who were familiar with knowledge management concepts and processes and well-acquainted with the organization’s structure and mission. Sixteen participants were purposefully selected for the interviews. In the quantitative phase, a questionnaire developed from the interview data was used as the research instrument. Quantitative data were analyzed using the Friedman test in SPSS. Results: The analysis of the interview data led to the identification of eight main categories and thirty-eight subcategories representing the barriers to knowledge management implementation in the NPAJA. Based on the results of the Friedman test, the main categories were ranked in terms of their impact on implementation as follows: managerial and leadership barriers; cultural and organizational barriers; human resource-related barriers; financial and budgetary limitations; legal and regulatory obstacles; technical and infrastructural barriers; content- and knowledge-related issues; and environmental and external challenges. Conclusions: Utilizing a mixed-methods approach and grounded in field data, this study offers a comprehensive and realistic depiction of the primary barriers to knowledge management implementation in the NPAJA. The results indicate that the most significant barriers are primarily soft in nature—managerial, cultural, and human-related—rather than purely technical or infrastructural. This underscores the importance of establishing a supportive cultural, managerial, and human framework prior to undertaking technological initiatives. Objective: This study aims to identify and prioritize the challenges, issues, and barriers associated with the implementation of knowledge management within the Air Defense Force of the Islamic Republic of Iran Army (NPAJA). Method: This research is applied in nature and employs an exploratory mixed-methods approach. In the qualitative phase, data were collected through semi-structured interviews and analyzed using qualitative content analysis to extract main categories and subcategories. The research population consisted of all commanders, deputies, managers, university faculty members, and knowledge management experts within the NPAJA who were familiar with knowledge management concepts and processes and well-acquainted with the organization’s structure and mission. Sixteen participants were purposefully selected for the interviews. In the quantitative phase, a questionnaire developed from the interview data was used as the research instrument. Quantitative data were analyzed using the Friedman test in SPSS. Results: The analysis of the interview data led to the identification of eight main categories and thirty-eight subcategories representing the barriers to knowledge management implementation in the NPAJA. Based on the results of the Friedman test, the main categories were ranked in terms of their impact on implementation as follows: managerial and leadership barriers; cultural and organizational barriers; human resource-related barriers; financial and budgetary limitations; legal and regulatory obstacles; technical and infrastructural barriers; content- and knowledge-related issues; and environmental and external challenges. Conclusions: Utilizing a mixed-methods approach and grounded in field data, this study offers a comprehensive and realistic depiction of the primary barriers to knowledge management implementation in the NPAJA. The results indicate that the most significant barriers are primarily soft in nature—managerial, cultural, and human-related—rather than purely technical or infrastructural. This underscores the importance of establishing a supportive cultural, managerial, and human framework prior to undertaking technological initiatives.

https://jlib.ut.ac.ir/article_102496_c292f113cae80afce107aaad91c57994.pdf

University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 30 Investigating the relationship between information literacy and entrepreneurial capabilities of technology-based units located in the Science and Technology Park of Kermanshah city Investigating the relationship between information literacy and entrepreneurial capabilities of technology-based units located in the Science and Technology Park of Kermanshah city 1 16 102498 10.22059/jlib.2025.367888.1715 FA Elham Almasi Ghobadi MSc in Knowledge and Information Science, Razi University, Kermanshah, Iran. Gholamreza Heidari Associate Professor, Department of Information Science and Epistemology, Razi University. Kermanshah Iran 0000-0003-2991-0713 Vida Saifouri Department of Knowledge and Information Sciences, Razi University, Kermanshah, Iran Journal Article 2023 11 01 Objective: This research aims to investigate the relationship between information literacy and entrepreneurship among the technological units located in the Science and Technology Park of Kermanshah. Method: This applied research was conducted using a quantitative approach and a survey method. The statistical population consisted of 285 technology units in the Kermanshah Science and Technology Park, from which a sample of 164 units was selected based on Morgan’s table. Data were collected using two standardized questionnaires: an information literacy questionnaire adapted from the Association of College and Research Libraries (ACRL), with a Cronbach’s alpha coefficient of 0.79, and an entrepreneurial capabilities questionnaire adapted from the Durham University Research Association in the UK, with a Cronbach’s alpha coefficient of 0.82. To assess the validity of the questionnaires, factor analysis was conducted based on Klein’s model. Cronbach’s alpha was used to evaluate the reliability. Both descriptive and inferential statistics were employed to analyze the research data. Results: The findings indicated that all components of information literacy have a positive and significant relationship with the entrepreneurial capabilities of the entrepreneurs in the technological units of the Kermanshah Science and Technology Park. Among these components, the effective use of information, effective access to information, and critical evaluation of information were identified as the strongest predictors of entrepreneurial capabilities. Conclusions: The components related to determining the nature and scope of information, as well as understanding legal, economic, and social issues, show a significant relationship with the entrepreneurial capabilities of technological units. However, according to the findings of this study, three components hold greater importance: using information to achieve a predetermined and specific goal (effective use of information), accessing the required information efficiently and cost-effectively (effective access to information), and analyzing arguments, evaluating the validity of resources, and identifying core problems (critical evaluation of information). The development of entrepreneurial capabilities in science and technology parks requires particular emphasis on these three components. Objective: This research aims to investigate the relationship between information literacy and entrepreneurship among the technological units located in the Science and Technology Park of Kermanshah. Method: This applied research was conducted using a quantitative approach and a survey method. The statistical population consisted of 285 technology units in the Kermanshah Science and Technology Park, from which a sample of 164 units was selected based on Morgan’s table. Data were collected using two standardized questionnaires: an information literacy questionnaire adapted from the Association of College and Research Libraries (ACRL), with a Cronbach’s alpha coefficient of 0.79, and an entrepreneurial capabilities questionnaire adapted from the Durham University Research Association in the UK, with a Cronbach’s alpha coefficient of 0.82. To assess the validity of the questionnaires, factor analysis was conducted based on Klein’s model. Cronbach’s alpha was used to evaluate the reliability. Both descriptive and inferential statistics were employed to analyze the research data. Results: The findings indicated that all components of information literacy have a positive and significant relationship with the entrepreneurial capabilities of the entrepreneurs in the technological units of the Kermanshah Science and Technology Park. Among these components, the effective use of information, effective access to information, and critical evaluation of information were identified as the strongest predictors of entrepreneurial capabilities. Conclusions: The components related to determining the nature and scope of information, as well as understanding legal, economic, and social issues, show a significant relationship with the entrepreneurial capabilities of technological units. However, according to the findings of this study, three components hold greater importance: using information to achieve a predetermined and specific goal (effective use of information), accessing the required information efficiently and cost-effectively (effective access to information), and analyzing arguments, evaluating the validity of resources, and identifying core problems (critical evaluation of information). The development of entrepreneurial capabilities in science and technology parks requires particular emphasis on these three components.

https://jlib.ut.ac.ir/article_102498_4afb27e2cbb78de20a44259adf45904d.pdf

University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 21 Integrating Knowledge Management and Machine Learning for Water Treatment Optimization: A Case Study at Koot Amir Water Treatment Plant Integrating Knowledge Management and Machine Learning for Water Treatment Optimization: A Case Study at Koot Amir Water Treatment Plant 1 22 102501 10.22059/jlib.2025.391697.1774 FA Hadi Alhaei . Department of Knowledge and Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran Mansoor Koohi Rostami Department of Knowledge and Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran Seyed Mohammad Ashrafi Department Civil Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran Journal Article 2024 10 28 Objective: In recent years, optimal operation of water treatment plants has faced numerous challenges, including fluctuations in water quality, rising operational costs, and the need for rapid and intelligent decision-making. In this context, the use of advanced knowledge management technologies, data mining, and artificial intelligence has emerged as powerful tools for optimizing operational processes. This study aims to evaluate the impact of machine learning algorithms on optimizing the performance of the Koot Amir water treatment plant in Ahvaz, with an emphasis on the role of knowledge management. Method: This applied research adopts a data-driven approach. The study population comprises 40,000 records of real operational and qualitative data collected over five years from the Koot Amir treatment plant. After collection, the data underwent preprocessing and normalization and were divided into training (70%) and testing (30%) datasets. Three machine learning models—Artificial Neural Network (ANN), Random Forest (RF), and Support Vector Machine (SVM)—were evaluated for predicting water quality and optimizing chemical usage. Data analysis and modeling were performed using Python, SPSS, and Excel. Results: The evaluation results revealed that the Artificial Neural Network model achieved the highest performance, with 94.7% accuracy and a determination index of 0.91 in predicting water quality changes. The Random Forest model also demonstrated strong capabilities, with 92.1% accuracy and a determination index of 0.88, effectively identifying complex water quality patterns. The Support Vector Machine model showed lower performance, with 89.3% accuracy and higher error rates. Implementing knowledge management using these models facilitated improved prediction of effluent water quality and enhanced the transfer of operational knowledge to plant operators. Conclusions: This study demonstrates that integrating knowledge management with machine learning is an effective strategy for optimizing the performance of water treatment plants and can serve as a model for similar facilities. The adoption of advanced technologies holds significant potential for improving predictive capabilities and knowledge transfer in data-driven organizations. Objective: In recent years, optimal operation of water treatment plants has faced numerous challenges, including fluctuations in water quality, rising operational costs, and the need for rapid and intelligent decision-making. In this context, the use of advanced knowledge management technologies, data mining, and artificial intelligence has emerged as powerful tools for optimizing operational processes. This study aims to evaluate the impact of machine learning algorithms on optimizing the performance of the Koot Amir water treatment plant in Ahvaz, with an emphasis on the role of knowledge management. Method: This applied research adopts a data-driven approach. The study population comprises 40,000 records of real operational and qualitative data collected over five years from the Koot Amir treatment plant. After collection, the data underwent preprocessing and normalization and were divided into training (70%) and testing (30%) datasets. Three machine learning models—Artificial Neural Network (ANN), Random Forest (RF), and Support Vector Machine (SVM)—were evaluated for predicting water quality and optimizing chemical usage. Data analysis and modeling were performed using Python, SPSS, and Excel. Results: The evaluation results revealed that the Artificial Neural Network model achieved the highest performance, with 94.7% accuracy and a determination index of 0.91 in predicting water quality changes. The Random Forest model also demonstrated strong capabilities, with 92.1% accuracy and a determination index of 0.88, effectively identifying complex water quality patterns. The Support Vector Machine model showed lower performance, with 89.3% accuracy and higher error rates. Implementing knowledge management using these models facilitated improved prediction of effluent water quality and enhanced the transfer of operational knowledge to plant operators. Conclusions: This study demonstrates that integrating knowledge management with machine learning is an effective strategy for optimizing the performance of water treatment plants and can serve as a model for similar facilities. The adoption of advanced technologies holds significant potential for improving predictive capabilities and knowledge transfer in data-driven organizations.

https://jlib.ut.ac.ir/article_102501_5399b36e60fc8bffd60ea9f60bcf18fc.pdf

University of Tehran Press Academic Librarianship and Information Research 2783-4638 58 4 2024 12 30 About the bibliography of Persian works Published in the subcontinent (India, Pakistan, Bangladesh) About the bibliography of Persian works Published in the subcontinent (India, Pakistan, Bangladesh) 1 12 102502 10.22059/jlib.2025.385899.1761 FA Qasem Safi Planning and Management Department,٫Faculty of Environment,٫Tehran university, Tehran, Iran 0009-0002-4171-5929 Journal Article 2024 10 26 Objective: This article aims to introduce and highlight key aspects of a seven-volume bibliographic collection of Persian works published in the Indian subcontinent (India, Pakistan, and Bangladesh), compiled by Dr. Aref Noshahi. Drawing on his extensive experience in cataloging across various archives and libraries. Method: This study is applied in nature and, in terms of data collection and analysis, follows a longitudinal, scientific, descriptive, and comparative approach. It considers temporal criteria and historical periods from the inception of the printing industry up to the year 2023, with a focus on the factors that have influenced changes in the publishing industry over time. Results: The documentation and introduction of Persian works printed in the subcontinent aim to inform scholars and literati and respond to the needs of those seeking familiarity with various subjects addressed in the region. These efforts support the use of such works in academic research and enhance the role of researchers in producing and presenting scientific knowledge. This, in turn, lays a solid foundation for future studies, improves researchers' skills in theoretical, academic, and educational literature, fosters communication and collaboration, and strengthens shared cultural foundations. Conclusion: The exploration and presentation of the seven-volume bibliographic collection compiled by Dr. Aref Noshahi represent a significant scholarly achievement in preserving and promoting the Persian literary heritage of the Indian subcontinent. By offering a detailed account of the historical development of cataloging practices and the publication of Persian works from the advent of print to the present day, this article underscores the enduring influence of Persian language and literature in South Asia. The study not only provides a valuable resource for researchers, historians, and librarians but also encourages further academic inquiry into cross-cultural literary exchanges and the shared intellectual traditions of Iran, India, Pakistan, and Bangladesh. Ultimately, this work contributes meaningfully to the field of bibliographic studies, reinforces the importance of historical documentation, and supports the continued growth of scholarly communication across borders. Objective: This article aims to introduce and highlight key aspects of a seven-volume bibliographic collection of Persian works published in the Indian subcontinent (India, Pakistan, and Bangladesh), compiled by Dr. Aref Noshahi. Drawing on his extensive experience in cataloging across various archives and libraries. Method: This study is applied in nature and, in terms of data collection and analysis, follows a longitudinal, scientific, descriptive, and comparative approach. It considers temporal criteria and historical periods from the inception of the printing industry up to the year 2023, with a focus on the factors that have influenced changes in the publishing industry over time. Results: The documentation and introduction of Persian works printed in the subcontinent aim to inform scholars and literati and respond to the needs of those seeking familiarity with various subjects addressed in the region. These efforts support the use of such works in academic research and enhance the role of researchers in producing and presenting scientific knowledge. This, in turn, lays a solid foundation for future studies, improves researchers' skills in theoretical, academic, and educational literature, fosters communication and collaboration, and strengthens shared cultural foundations. Conclusion: The exploration and presentation of the seven-volume bibliographic collection compiled by Dr. Aref Noshahi represent a significant scholarly achievement in preserving and promoting the Persian literary heritage of the Indian subcontinent. By offering a detailed account of the historical development of cataloging practices and the publication of Persian works from the advent of print to the present day, this article underscores the enduring influence of Persian language and literature in South Asia. The study not only provides a valuable resource for researchers, historians, and librarians but also encourages further academic inquiry into cross-cultural literary exchanges and the shared intellectual traditions of Iran, India, Pakistan, and Bangladesh. Ultimately, this work contributes meaningfully to the field of bibliographic studies, reinforces the importance of historical documentation, and supports the continued growth of scholarly communication across borders.

https://jlib.ut.ac.ir/article_102502_5da181a6628b0c0004deb91661a7b7d9.pdf