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1

McKiel, Allen. "Survey Analysis: ebrary User Survey." Acquisitions Librarian 19, no. 3-4 (June 11, 2008): 231–45. http://dx.doi.org/10.1080/08963570802177253.

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Busch, Joseph A. "AAT User Survey." Art Documentation: Journal of the Art Libraries Society of North America 8, no. 1 (April 1989): 26. http://dx.doi.org/10.1086/adx.8.1.27948007.

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3

Lee, P. Y., and R. E. Holliman. "Microbiology user satisfaction survey." Journal of Clinical Pathology 49, no. 7 (July 1, 1996): 615. http://dx.doi.org/10.1136/jcp.49.7.615-a.

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4

Hsu, P. Peggy. "MEDLINE End-User Survey." Medical Reference Services Quarterly 10, no. 1 (April 16, 1991): 49–64. http://dx.doi.org/10.1300/j115v10n01_04.

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5

Myers, Brad A., and Mary Beth Rosson. "User interface programming survey." ACM SIGCHI Bulletin 23, no. 2 (March 1991): 27–30. http://dx.doi.org/10.1145/122488.122491.

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6

Briggs, J. S., and C. J. Fitch. "The ISABEL user survey." Medical Informatics and the Internet in Medicine 30, no. 2 (January 2005): 167–72. http://dx.doi.org/10.1080/14639230500298735.

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7

Riggs, Leland S., and Robert M. Schenk. "Arbitration: Survey on User Satisfaction." Journal of Performance of Constructed Facilities 4, no. 2 (May 1990): 88–99. http://dx.doi.org/10.1061/(asce)0887-3828(1990)4:2(88).

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Carmagnola, Francesca, Federica Cena, and Cristina Gena. "User model interoperability: a survey." User Modeling and User-Adapted Interaction 21, no. 3 (February 18, 2011): 285–331. http://dx.doi.org/10.1007/s11257-011-9097-5.

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9

BREMBER, V. L., and P. LEGGATE. "LINKING A MEDICAL USER SURVEY TO MANAGEMENT FOR LIBRARY EFFECTIVENESS: I, THE USER SURVEY." Journal of Documentation 41, no. 1 (January 1985): 1–14. http://dx.doi.org/10.1108/eb026770.

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10

Talbot, Dawn E., Gerald R. Lowell, and Kerry Martin. "From the users' perspective—The UCSD libraries user survey project." Journal of Academic Librarianship 24, no. 5 (September 1998): 357–64. http://dx.doi.org/10.1016/s0099-1333(98)90072-6.

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11

Mabuni, D. "USER INTERFACES TO DATABASES - A SURVEY." International Journal of Advanced Research in Computer Science 8, no. 9 (September 30, 2017): 710–13. http://dx.doi.org/10.26483/ijarcs.v8i9.5201.

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12

Sharmila, K., V. Janaki, and A. Nagaraju. "A Survey on User Authentication Techniques." Oriental journal of computer science and technology 10, no. 2 (June 2, 2017): 513–19. http://dx.doi.org/10.13005/ojcst/10.02.37.

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Confidentiality and Authentication were once treated different but now-a-days, improvement in technology is demanding both of them to be used together. Though technology is increasing tremendously, smart hackers on the environment always challenges the authentication factors, thereby enforcing more number of factors for authentication to be included. As factors increase, failure rate for authentication may also be more when any one of the factors doesn’t work. A qualitative survey of user authentication systems being used in today’s environment is presented here and a comparative study of various authentication mechanisms used in the world of Information security by various researchers is shown.
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13

Selker, John. "Hydrologic measurement facility conducts user survey." Eos, Transactions American Geophysical Union 86, no. 47 (2005): 486. http://dx.doi.org/10.1029/2005eo470005.

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14

Padda, Amarjot, Chris Novak, Peter Gill, Larissa Shapka, Melanie Lewis, and Karen Forbes. "51 PedsCases Quality Improvement User Survey." Paediatrics & Child Health 24, Supplement_2 (May 31, 2019): e20-e21. http://dx.doi.org/10.1093/pch/pxz066.050.

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15

Myers, B. A. "User-interface tools: introduction and survey." IEEE Software 6, no. 1 (January 1989): 15–23. http://dx.doi.org/10.1109/52.16898.

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16

Babulal, Patel Devendra, Chauhan Chetan K. Chauhan Chetan K, and Patel Hareshkumar Amrutbhai. "User Awareness And Use Of E-Journal Among Pharmaceutical Companies Library in Ahmedabad: A Survey." International Journal of Scientific Research 1, no. 6 (June 1, 2012): 94–96. http://dx.doi.org/10.15373/22778179/nov2012/35.

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17

Okada, Shinichi, and Yuichiro Kume. "CCTV user survey and prototypes based on the survey results1." Technology and Disability 11, no. 3 (December 31, 1999): 123–31. http://dx.doi.org/10.3233/tad-1999-11302.

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18

Carlier, Stéphanie, Dries Coppens, Femke De Backere, and Filip De Turck. "Investigating the Influence of Personalised Gamification on Mobile Survey User Experience." Sustainability 13, no. 18 (September 18, 2021): 10434. http://dx.doi.org/10.3390/su131810434.

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Gamification in healthcare has shown to increase user motivation and treatment adherence. Personalisation strategies have the potential to create sustainable health change and user motivation. In striving for personalisation, surveys are often used as an easy tool to collect information about the user. But lengthy surveys are often tedious and demotivating, provoking bad respondent behaviour which results in a loss of data quality. Gamified surveys can enhance respondent behaviour but are labour-intensive to develop. This study explores the effect of a re-usable mobile survey application, using personalised gamification, on user experience. In an A/B study setting with 28 participants, The Hexad Player Type Framework is used to determine the player type of the user and personalise the survey accordingly. Results have shown that the overall user experience of the gamified application is higher than the traditional survey and 37.5% of gamified users perceived the duration of the survey as shorter than the actual time, compared to 20% of the respondents of the traditional survey. No significant difference in data quality has been detected, as loss in data quality remained limited in both versions. Future work should explore the influence of more elaborate game elements in a larger population.
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19

Sajib Al Seraj, Mohammad. "A Survey on User Modeling in HCI." Computer Applications: An International Journal 5, no. 1 (February 28, 2018): 21–28. http://dx.doi.org/10.5121/caij.2018.5102.

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20

Cello Vitasovic, Z. "IT in Wastewater Utilities: End User Survey." Proceedings of the Water Environment Federation 2011, no. 16 (January 1, 2011): 1059–75. http://dx.doi.org/10.2175/193864711802712802.

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21

Eszergár-Kiss, Domokos, and Bálint Caesar. "User Group Evaluation Based on Survey Data." Transportation Research Procedia 10 (2015): 256–65. http://dx.doi.org/10.1016/j.trpro.2015.09.075.

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22

Lowe, John B., and Martin P. Rubinstein. "Distance Telescopes: A Survey of User Success." Optometry and Vision Science 77, no. 5 (May 2000): 260–69. http://dx.doi.org/10.1097/00006324-200005000-00013.

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23

Omidvar-Tehrani, Behrooz, and Sihem Amer-Yahia. "User Group Analytics Survey and Research Opportunities." IEEE Transactions on Knowledge and Data Engineering 32, no. 10 (October 1, 2020): 2040–59. http://dx.doi.org/10.1109/tkde.2019.2913651.

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24

Iivari, Juhani, and Magid Igbaria. "Determinants of user participation: A Finnish survey." Behaviour & Information Technology 16, no. 2 (January 1997): 111–21. http://dx.doi.org/10.1080/014492997119950.

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25

Shah, Syed W., and Salil S. Kanhere. "Recent Trends in User Authentication – A Survey." IEEE Access 7 (2019): 112505–19. http://dx.doi.org/10.1109/access.2019.2932400.

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26

Birks, Carol, Keri Lockwood, Ian Cameron, Susan Kurrle, Wendy Burnside, Sandra Easter, Jennifer Venman, et al. "Hip Protectors: Results of a User Survey." Australasian Journal on Ageing 18, no. 1 (February 1999): 23–26. http://dx.doi.org/10.1111/j.1741-6612.1999.tb00084.x.

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27

Harman, Jennifer. "Reuters: a survey of end‐user searching." Aslib Proceedings 38, no. 1 (January 1986): 35–42. http://dx.doi.org/10.1108/eb050996.

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28

Mohammadi, Ehsan, Mike Thelwall, Mary Kwasny, and Kristi L. Holmes. "Academic information on Twitter: A user survey." PLOS ONE 13, no. 5 (May 17, 2018): e0197265. http://dx.doi.org/10.1371/journal.pone.0197265.

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29

Ben Hassouna, Asma, Hend Koubaa, and Leila Azouz Saidane. "Multi-user diversity wireless multicast: A Survey." Computer Networks 175 (July 2020): 107282. http://dx.doi.org/10.1016/j.comnet.2020.107282.

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30

Riquelme, Fabián, and Pablo González-Cantergiani. "Measuring user influence on Twitter: A survey." Information Processing & Management 52, no. 5 (September 2016): 949–75. http://dx.doi.org/10.1016/j.ipm.2016.04.003.

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31

Bonino, Dario, Fulvio Corno, and Luigi De Russis. "Home energy consumption feedback: A user survey." Energy and Buildings 47 (April 2012): 383–93. http://dx.doi.org/10.1016/j.enbuild.2011.12.017.

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32

Solomons, Luke, Scott Davidson, M. Dominic Beer, and David Masterson. "User empowerment: A user-led survey of user-staff ward meetings in a challenging behaviour unit." Journal of Psychiatric Intensive Care 4, no. 1-2 (December 2008): 65. http://dx.doi.org/10.1017/s1742646408001271.

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33

Gregow, H., P. Poli, H. M. Mäkelä, K. Jylhä, A. K. Kaiser-Weiss, A. Obregon, D. G. H. Tan, S. Kekki, and F. Kaspar. "User awareness concerning feedback data and input observations used in reanalysis systems." Advances in Science and Research 12, no. 1 (April 22, 2015): 63–67. http://dx.doi.org/10.5194/asr-12-63-2015.

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Abstract. A web-based survey to assess the benefits and gaps in reanalyses as part of growing climate services was carried out in 2013–2014. The survey elicited responses from about 2500 users of climate information. One of the eleven survey points specifically addressed the observations used in reanalysis, with a multiple-choice question "Have you used reanalysis input observations and feedback data?". Almost half of the respondents admitted to not knowing what such data were about. Among the others, specific queries asked for these observations to be made available more openly. This paper summarizes the main findings in regard to use of existing reanalyses as well as user awareness and needs in regard to reanalysis feedback data and input observations. In the future, the information obtained via the survey makes it possible to perform various statistically robust analyses addressing different aspects of the use of reanalysis data.
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34

Bhutkar, Ganesh, Vidhi Raghvani, and Siddharth Juikar. "User Survey about Exposure of Hate Speech among Instagram Users in India." International Journal of Computer Applications 183, no. 19 (August 18, 2021): 24–29. http://dx.doi.org/10.5120/ijca2021921536.

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35

Chow, Janet. "Realising the potential of user surveys for improving academic libraries: The case of St John’s College, Cambridge." Journal of Librarianship and Information Science 51, no. 3 (October 2, 2017): 689–701. http://dx.doi.org/10.1177/0961000617732379.

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How can user surveys lead to better decision making to improve libraries? While there are more surveys published on specialised aspects of academic libraries, there are relatively few user surveys published of academic libraries in general. First and foremost this paper argues the user survey is a useful tool for library managers interested in developing their libraries in response to changing user needs, and secondly, for more published accounts of surveys and their usefulness. However, the user survey as a tool for generating evidence-based decision making in libraries fails to achieve its potential if two further important practices are not implemented. First and most importantly, the findings obtained from the survey must be used to inform decision making on managing and leading improvements to the library. This aspect of follow-through from survey findings to management decision making, may well lead to changing resource allocation and priorities, new practices, and improvements to collections and the physical environment. Second, the findings of the survey should be fed back to users as a means of raising their interest and engagement in the academic library as a hub of learning.
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36

Creaser, Claire. "One size does not fit all: user surveys in academic libraries." Performance Measurement and Metrics 7, no. 3 (September 1, 2006): 153–62. http://dx.doi.org/10.1108/14678040610713110.

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PurposeUser surveys in academic libraries are not generally widely publicised. The purpose of this paper is to analyse and comment on the results of a variety of user surveys and draw together some of that work.Design/methodology/approachThe paper describes the work of LISU at Loughborough University, which has analysed two main instruments – the LibQual+ surveys as they have been applied in the UK, and the standard Society of College, National and University Libraries (SCONUL) user survey template. The paper considers the implications of different response rates and sample sizes on the validity of results and issues concerning benchmarking with user survey data.FindingsOne aim of user surveys must be to improve the services provided to users. High overall satisfaction levels are good for publicity, and may persuade institutional management that all is well with the library, but they should not lead to complacency within the service. It is important to drill down into the detail of the results, to make comparisons within or between services, and to investigate examples of good practice.Originality/valueThe paper provides a useful overview of UK academic library user survey methods.
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37

Bulut, Halise Betul, and Cigdem Polatoglu. "Participatory Design Approach in Architectural Education, a Field Survey About User Satisfaction." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 3 (March 22, 2017): 412–17. http://dx.doi.org/10.18844/gjhss.v3i3.1588.

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38

Lai, Katie, and Kylie Chan. "Do You Know Your Music Users' Needs? A Library User Survey that Helps Enhance a User-Centered Music Collection." Journal of Academic Librarianship 36, no. 1 (January 2010): 63–69. http://dx.doi.org/10.1016/j.acalib.2009.11.007.

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39

Hanchek, Anne M. "417 PB 092 BENNETT/JOHNSON PRAIRIE USER SURVEY." HortScience 29, no. 5 (May 1994): 490f—490. http://dx.doi.org/10.21273/hortsci.29.5.490f.

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Why do people visit the grounds of a botanical garden or arboretum? What draws them to that “experience of nature”? What can we do as horticulturists, landscape architects, and educators to make garden areas more appealing and fulfilling to visitors? The Prairie Interpretive Committee of the Minnesota Landscape Arboretum asked these questions in 1991 as it convened to analyze the current and future status of the Arboretum's Bennett/Johnson Prairie. To understand visitor usage and needs, Arboretum members were surveyed about frequency of visits, reasons for visiting, specific visitor services, and suggestions for improvements. Among the 151 responses, the major reasons for visiting were the pleasures of walking, observing, and being at peace. “Open”, “wild,” and “natural” were common key words. There was keen interest in native plants and their historical role as well. Sitting areas, maps, path markers, plant labels, and self-guided tours were the primary requests for improvement. A high percentage found the demonstration area interesting and useful. The Interpretive Committee used this research to guide the landscape architect, create a brochure, and develop an integrative master plan for the prairie area.
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40

North, Philip M. "U-SP: A User-Friendly Survey Analysis Package." American Statistician 41, no. 1 (February 1987): 78. http://dx.doi.org/10.2307/2684331.

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41

Collins-Mitchell, Janette, Diana Kaufman-Rivi, Simran Singh, Lisa Winstel, and Mary Weick-Brady. "Home User Survey: Medical Device Labeling Instruction Information." Biomedical Instrumentation & Technology 47, s1 (January 1, 2013): 37–41. http://dx.doi.org/10.2345/0899-8205-47.s1.37.

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42

Allen, Mary Beth. "International Students in Academic Libraries: A User Survey." College & Research Libraries 54, no. 4 (July 1, 1993): 323–33. http://dx.doi.org/10.5860/crl_54_04_323.

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43

GODOY, DANIELA, and ANALIA AMANDI. "User profiling in personal information agents: a survey." Knowledge Engineering Review 20, no. 4 (December 2005): 329–61. http://dx.doi.org/10.1017/s0269888906000397.

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Personal information agents have emerged in the last decade to help users to cope with the increasing amount of information available on the Internet. These agents are intelligent assistants that perform several information-related tasks such as finding, filtering and monitoring relevant information on behalf of users or communities of users. In order to provide personalized assistance, personal agents rely on representations of user information interests and preferences contained in user profiles. In this paper, we present a summary of the state-of-the-art in user profiling in the context of intelligent information agents. Existing approaches and lines of research in the main dimensions of user profiling, such as acquisition, learning, adaptation and evaluation, are discussed.
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44

Armitage, Lynne, Ann Murugan, and Hikari Kato. "Green offices in Australia: a user perception survey." Journal of Corporate Real Estate 13, no. 3 (September 13, 2011): 169–80. http://dx.doi.org/10.1108/14630011111170454.

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45

Furnell, S. M., P. S. Dowland, H. M. Illingworth, and P. L. Reynolds. "Authentication and Supervision: A Survey of User Attitudes." Computers & Security 19, no. 6 (October 2000): 529–39. http://dx.doi.org/10.1016/s0167-4048(00)06027-2.

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46

Smeltzer, Eric, and Steven A. Heiskary. "Analysis and Applications of Lake User Survey Data." Lake and Reservoir Management 6, no. 1 (July 1990): 109–18. http://dx.doi.org/10.1080/07438149009354701.

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47

Fels, Antonia, Björn Falk, and Robert Schmitt. "User-driven Customization and Customer Loyalty: A Survey." Procedia CIRP 60 (2017): 410–15. http://dx.doi.org/10.1016/j.procir.2017.02.013.

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48

Liebst, Anne, and David Feinmark. "Tools of Academic Library Assessment: the User Survey." Journal of Library Administration 56, no. 6 (July 28, 2016): 748–55. http://dx.doi.org/10.1080/01930826.2016.1199144.

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49

Aksu Dunya, Beyza, and Sandra De Groote. "Revision of an academic library user experience survey." Performance Measurement and Metrics 20, no. 1 (February 4, 2019): 48–59. http://dx.doi.org/10.1108/pmm-10-2018-0026.

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Purpose The purpose of this paper is to explain how an academic library’s Student Experience Survey was revised and improved based on available research on survey design methodology and piloting efforts. Thus, it aims to contribute existing literature on library assessment and survey methodology by addressing issues of planning and coordinating assessment. The paper also provides a guideline on the survey revision process for existing instruments. Design/methodology/approach The library assessment coordinator collaborated with Assessment Coordinator Advisory Committee (AC2) to revise and improve the survey. The revision process started with adding suggested items and constructing new items based on library assessment planning survey administered to library faculty previously. Regular monthly meetings were held with the committee to facilitate the revision process. Multiple facets of the survey implementation were revised including wording, content, order and format of the items, response scales and survey distribution. Each facet was addressed based on available research on survey methodology and cross-checked with the committee members. Findings The revised 2018 University of Illinois at Chicago (UIC) Libraries Student Experience Survey consists of a total of nine items with response matrices, single choice response format and open-ended response format to measure students’ satisfaction, need and their use of the various library resources and services. The changes made to the survey are grouped into three categories: wording and content, response categories and scaling and design, font and layout. The revision process of the UIC Libraries Student Experience Survey can serve as an example for academic or other types of libraries that wish to track and report their impact regularly. Originality/value The UIC Libraries Student Experience Survey provides evidence that careful revision and piloting as well as obtaining relevant stakeholder buy-in to the process lead to build effective survey tools.
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50

Moore, Jane. "Survey of service user involvement in clinical audit." Clinical Governance: An International Journal 13, no. 3 (August 8, 2008): 192–99. http://dx.doi.org/10.1108/14777270810892601.

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