Relevant bibliographies by topics / Database

Academic literature on the topic 'Database'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Database"

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Mallikharjuna Rao, N. "An Approach for Intelligent Database Maintenance of HLR and VLR Databases." International Journal of Engineering and Technology 4, no. 5 (2012): 532–36. http://dx.doi.org/10.7763/ijet.2012.v4.426.

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Tengeri, Dávid, and Ferenc Havasi. "Database Slicing on Relational Databases." Acta Cybernetica 21, no. 4 (2014): 629–53. http://dx.doi.org/10.14232/actacyb.21.4.2014.6.

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HAIBARA, Kazuhiro. "Database. 7. Credit information databases." Journal of Information Processing and Management 29, no. 7 (1986): 601–10. http://dx.doi.org/10.1241/johokanri.29.601.

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IBARAKI, Shingo. "Databases. 8. Trademark research database." Journal of Information Processing and Management 29, no. 8 (1986): 687–98. http://dx.doi.org/10.1241/johokanri.29.687.

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OHTAKI, Toshio. "Databases. 9. Meteorological information database." Journal of Information Processing and Management 29, no. 9 (1986): 787–99. http://dx.doi.org/10.1241/johokanri.29.787.

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Finkelstein, S., M. Schkolnick, and P. Tiberio. "Physical database design for relational databases." ACM Transactions on Database Systems 13, no. 1 (March 1988): 91–128. http://dx.doi.org/10.1145/42201.42205.

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Horaitis, Ourania, C. Conover Talbot, Manyphong Phommarinh, Kate M. Phillips, and Richard G. H. Cotton. "A database of locus-specific databases." Nature Genetics 39, no. 4 (April 2007): 425. http://dx.doi.org/10.1038/ng0407-425.

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., Vinay Goyal. "REENGINEERING OF RELATIONAL DATABASES TO OBJECTORIENTED DATABASE." International Journal of Research in Engineering and Technology 03, no. 01 (January 25, 2014): 112–15. http://dx.doi.org/10.15623/ijret.2014.0301018.

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Samson, Clare. "Database evolution: Protein family and domain databases." Biochemist 31, no. 1 (February 1, 2009): 52. http://dx.doi.org/10.1042/bio03101052.

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Fraser, Lauchlan H. "TRY—A plant trait database of databases." Global Change Biology 26, no. 1 (December 31, 2019): 189–90. http://dx.doi.org/10.1111/gcb.14869.

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Dissertations / Theses on the topic "Database"

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Unnava, Vasundhara. "Query processing in distributed database systems." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261314105.

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Khayundi, Peter. "A comparison of open source object-oriented database products." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/254.

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Object oriented databases have been gaining popularity over the years. Their ease of use and the advantages that they offer over relational databases have made them a popular choice amongst database administrators. Their use in previous years was restricted to business and administrative applications, but improvements in technology and the emergence of new, data-intensive applications has led to the increase in the use of object databases. This study investigates four Open Source object-oriented databases on their ability to carry out the standard database operations of storing, querying, updating and deleting database objects. Each of these databases will be timed in order to measure which is capable of performing a particular function faster than the other.
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Bielecki, Pavel. "Distributed relational database system of occasionally connected databases." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378092.

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Rashid, Awais. "A database evolution approach for object oriented databases." Thesis, Lancaster University, 2001. http://eprints.lancs.ac.uk/11951/.

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Alkahtani, Mufleh M. "Modeling relational database management systems." Virtual Press, 1993. http://liblink.bsu.edu/uhtbin/catkey/865955.

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Almost all of the database products developed over the past few years are based on what is called the relational approach.The purpose of this thesis is to characterize a relational data base management system, we do this by studying the relational model in some depth.The relational model is not static, rather it has been evolving over time. We trace the evolution of the relational model. We will also consider the ramifications of the relational model for modern database systems.
Department of Computer Science
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Zhang, Hao. "Querying databases a tale of two C# approaches /." Click here for download, 2010. http://proquest.umi.com.ps2.villanova.edu/pqdweb?did=2019786971&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Sun, Jimeng. "Analysis of predictive spatio-temporal queries /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20SUN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 62-65). Also available in electronic version. Access restricted to campus users.
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Areal, Bruno Miguel de Melo Gonçalves. "Building anonymised database samples." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7699.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
In this work we propose Anonym Database Sampler (ADS), a flexible and modular system capable of extracting an anonymised, consistent and representative sample from a relational database. ADS was envisioned for use in testing and development environments. To this end, a sample specification input is requested from the user, that is used by ADS’s sampling engine to perform a stratified random sample. Afterwards a First-choice hill climbing algorithm is applied to the sample, optimising the selected data towards the specified requisites. Finally, if some restrictions are still to be met, tuples and/or keys modifications are performed, ensuring that the final sample fully complies with the initial sample specification. While having a representative and sound database that developers can use in these environments can be a great advantage, we assume that this representativeness does not need to comply with a truly statistical representativity, which would be much harder to obtain. Thereby, ADS samples are not appropriate for any kind of statistical data analysis. After the sample being successfully extracted, due to the sensitivity of the data contained in most organisation databases, a data anonymisation step is performed. The sampled data is consistently enciphered and masked, preventing data privacy breaches that could occur by delivering to developers a database containing some real operational data.
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Xie, Dongqing. "A Web database builder system WEBDB /." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000365.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains xi, 62 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Chen, Lijun. "A Web-based database application builder." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000113.

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Thesis (M.S.)--University of Florida, 2002.
Title from title page of source document. Document formatted into pages; contains ix, 64 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Books on the topic "Database"

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J, Sadalage Pramod, ed. Refactoring databases: Evolutionary database design. Upper Saddle River, NJ, USA: Addison Wesley, 2006.

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Viktor, Nikolavich. Basics of database design. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1855782.

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The tutorial describes the basic concepts of databases, relationships in models and the relational approach to building models, the stages of database design, database structure design, organization of SQL queries and much more. 18 practical works are given. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. It can be used to study the discipline "Fundamentals of database design" in the specialty "Information systems and programming" when mastering the qualifications: "Database Administrator", "Programmer", "Developer of Web and multimedia applications", "Information systems Specialist", "Information Technology Testing Specialist", "Technical writer".
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Carlo, Zaniolo, ed. Advanced database systems. San Francisco, Calif: Morgan Kaufmann Publishers, 1997.

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McTaggart, Bill. Database. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0497-1.

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Ozkarahan, Esen. Database machines and database management. Englewood Cliffs, N.J: Prentice-Hall, 1986.

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Date, C. J. Database in depth. Sebastopol, CA: O'Reilly, 2005.

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E, Orlowska M., and Papazoglou M. 1953-, eds. Advances in database research: Proceedings of the 4th Australian Database Conference, Brisbane, 1-2 February 1993. Singapore: World Scientific, 1993.

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Oppel, Andrew J. Databases: A beginner's guide. San Francisco, CA: McGraw-Hill Companies, 2009.

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Pratt, Philip J. The concepts of database management. 6th ed. Boston, Mass: Thomson Course Technology, 2008.

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Pratt, Philip J. The concepts of database management. 6th ed. Boston, Mass: Thomson Course Technology, 2008.

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Book chapters on the topic "Database"

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Thalheim, Bernhard. "Database Schemes and Databases." In Teubner-Texte zur Mathematik, 7–24. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-663-12018-6_1.

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Loubser, Nico. "Databases and Database Design." In Software Engineering for Absolute Beginners, 159–92. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6622-9_6.

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Mallach, Efrem G. "Data, Databases, and Database Management." In Information Systems, 115–48. Second edition. | Boca Raton, FL : CRC Press, [2020] |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429061011-5.

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Abzalov, Marat. "Database." In Modern Approaches in Solid Earth Sciences, 177–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39264-6_12.

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Özsu, M. Tamer. "Database." In Encyclopedia of Database Systems, 1. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80734-1.

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Sinha, Sanjib. "Database." In Beginning Ethical Hacking with Python, 137–47. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2541-7_19.

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Parks, Robert G. "Database." In Quattro Pro® for Scientific and Engineering Spreadsheets, 70–77. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2810-3_6.

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Weik, Martin H. "database." In Computer Science and Communications Dictionary, 339. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4181.

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Özsu, M. Tamer. "Database." In Encyclopedia of Database Systems, 931–32. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80734.

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Hasanov, Fakhri J., Frederick L. Joutz, Jeyhun I. Mikayilov, and Muhammad Javid. "Database." In SpringerBriefs in Economics, 25–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12275-0_5.

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AbstractOne of the heaviest resource-consuming tasks of KGEMM, as with all MEMs, is the collection, update, revision, and maintenance of data. In econometric modeling, data are the key elements in determining the statistical properties of relationships. In this regard, data availability plays an important role in establishing linkages between the variables in time series-based MEMs. As discussed in the literature review, MEMs are heavily data-intensive, and obtaining comprehensive results is conditional upon the accuracy and time span of the data. MEMs are also data-dependent, with data updates and revisions resulting in re-estimation of the behavioral equations.
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Conference papers on the topic "Database"

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Mallikharjuna Rao, N., M. M. Naidu, and P. Seetharam. "Mobile database modeling using Fuzzy databases." In 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icetect.2011.5760269.

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Beaubouef, Theresa, and Frederick E. Petry. "Database security issues in rough relational databases." In 2010 42nd Southeastern Symposium on System Theory (SSST 2010). IEEE, 2010. http://dx.doi.org/10.1109/ssst.2010.5442811.

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"Database Schema Elicitation to Modernize Relational Databases." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003980801260132.

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Esteva, J. C., and Asad Khailany. "Database reasoning: extracting knowledge from databases (abstract)." In the 1990 ACM annual conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/100348.100488.

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Pokorný, Jaroslav. "Conceptual and Database Modelling of Graph Databases." In the 20th International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2938503.2938547.

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Yan, Cong, Suman Nath, and Shan Lu. "Generating Test Databases for Database-Backed Applications." In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2023. http://dx.doi.org/10.1109/icse48619.2023.00173.

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Murata, Masaharu, Hideo Tanaka, Kazushige Kamihira, Masayoshi Yamazaki, and Kazuhiro Kimura. "Internet Microstructure Database for Crept Materials." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/creep2007-26548.

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Materials Database Station of National Institute for Materials Science (NIMS) owns the world’s largest Internet materials database for academic purpose, which is composed of twelve databases: five concerning structural materials, five concerning basic physical properties, one for superconducting materials and one for polymers. All of theses databases are opened to Internet access at the website of http://mits.nims.go.jp/en. Database of Structural materials are NIMS structural materials datasheet online version (creep, fatigue, corrosion and space use materials strength and microstructure database for crept material). The general information, contents and examples of application will be introduced.
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Mohr, Roger. "Image + database ? image database." In the 1st international workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1039470.1039472.

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Brayner, Angelo, and José Maria Monteiro Filho. "Hardware-aware Database Systems: A New Era for Database Technology is Coming - Vision Paper." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2016. http://dx.doi.org/10.5753/sbbd.2016.24326.

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A new era of computers with solid state memory (SSDs) chips providing petabytes of storage area is coming. Nonetheless database systems (DBSs) were designed presupposing that databases are persisted in hard disk drives (HDDs) for storing databases. Over the years, DBS components have been optimized based on performance characteristics of HDDs. Simply replacing HDDs by faster SSDs may not fully exploit the capabilities of SSDs. In this paper, we present and defend the idea of hardware-aware database systems in order to make database systems able to fully exploit the advantages provided by new hardware, such as solid state memories.
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Zu, Weilin, Li Pan, Tong Yao, Yiran Gu, Hong Sun, Junru Wang, and Jun Wang. "Application of Artificial Intelligence Technology in Clothing Human Body Database." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001181.

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This article summarizes and analyzes the current situation of clothing human database technology and application of AI technology of the clothing human databases’ using, and looks ahead to the development trend of AI and clothing human body database in future. By means of literature searching, this article mainly investigates the Chinese clothing human body databases and makes analytical comparisons between the AI applied in the construction of clothing human body database, such as data mining and neural network, and database architecture. Within AI, the processing and management of data in the clothing human body databases and the function of size database-basing classification can be improved in the big data environment. Through the investigation and analysis of the clothing human body databases, the article concludes that the AI should be combined with clothing human body databases and new technology should be used to optimize and develop the databases in future.
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Reports on the topic "Database"

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Zytkow, Jan M. Database Explorer: Large Scale Database Application. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada252183.

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Bruhn, Mark, Breda Munoz, James Cajka, Gary Smith, Ross Curry, Diane Wagener, and William Wheaton. Synthesized Population Databases: A Geospatial Database of US Poultry Farms. Research Triangle Park, NC: RTI Press, February 2012. http://dx.doi.org/10.3768/rtipress.2012.mr.0023.1201.

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Ulman, J. D. Database Theory. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada158975.

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Wheaton, William, James Cajka, Bernadette Chasteen, Diane Wagener, Philip Cooley, Laxminarayana Ganapathi, Douglas Roberts, and Justine Allpress. Synthesized population databases: A US geospatial database for agent-based models. Research Triangle Park, NC: RTI Press, May 2009. http://dx.doi.org/10.3768/rtipress.2009.mr.0010.0905.

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Calm, J. M. ARTI refrigerant database. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/334263.

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Calm, J. M. ARTI Refrigerant Database. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/35387.

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Calm, J. M. ARTI refrigerant database. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/366496.

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Calm, J. M. ARTI refrigerant database. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/463612.

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Calm, J. M. ARTI refrigerant database. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/418455.

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Calm, J. M. ARTI refrigerant database. Office of Scientific and Technical Information (OSTI), August 1998. http://dx.doi.org/10.2172/674946.

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