Letteratura scientifica selezionata sul tema "Databases"

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Articoli di riviste sul tema "Databases"

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Kreil, David P., and Thure Etzold. "DATABANKS – a catalogue database of molecular biology databases." Trends in Biochemical Sciences 24, no. 4 (1999): 155–57. http://dx.doi.org/10.1016/s0968-0004(99)01363-8.

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Babu, P. Ajay, Radha Boddepalli, V. Vasantha Lakshmi, and G. Nageswara Rao. "DoD: Database of Databases – Updated Molecular Biology Databases." In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation 5, no. 5-6 (2005): 605–10. https://doi.org/10.3233/isb-00214.

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Database of Databases (DoD) is a collection of molecular biology databases extracted from Nucleic Acids Research, 2005 Database issue. DoD is constructed using javascript and html code. The 14 categories of 719 databases are provided with a search option, keyword help and database description linked to respective pages. Keyword help lists the search strings used to perform an individual search against categorized databases. Database description provides brief information about the database with a link to full-text article and main web page. DoD is available online and can be accessed at http://www.progenebio.in/DoD/DoD.htm.
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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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Blair, Jarrett, Rodger Gwiazdowski, Rodger Gwiazdowski, et al. "Towards a catalogue of biodiversity databases: An ontological case study." Biodiversity Data Journal 8 (March 27, 2020): e32765. https://doi.org/10.3897/BDJ.8.e32765.

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Biodiversity informatics depends on digital access to credible information about species. Many online resources host species' data, but the lack of categorisation for these resources inhibits the growth of this entire field. To explore possible solutions, we examined the (now retired) Biodiversity Information Projects of the World (BIPW) dataset created by the Biodiversity Information Standards (TDWG); this project, which ran from 2007-2015 (officially removed from the TDWG website in 2018) was an attempt at organising the Web's biodiversity databases into an indexed list. To do this, we applied a simple classification scheme to score databases within BIPW based on nine data categories, to characterise trends and current compositions of this biodiversity e-infrastructure. Primarily, we found that of 600 databases investigated from BIPW, only 315 (~53%) were accessible at the time of this writing, underscoring the precarious nature of the biodiversity information landscape. Many of these databases are still available, but suffer accessibility issues such as link rot, thus putting the information they contain in danger of being lost. We propose that a community-driven database of biodiversity databases with an accompanying ontology could facilitate efficient discovery of relevant biodiversity databases and support smaller databases – which have the greatest risk of being lost.
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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 (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 (2007): 425. http://dx.doi.org/10.1038/ng0407-425.

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Tesi sul tema "Databases"

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Chung, Sun S. "Anti-Tamper Databases: Querying Encrypted Databases." online version, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1136677144.

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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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Vargas, Herring Luis Carlos. "Integrating databases and publish/subscribe." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609151.

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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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Abstract (sommario):
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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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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Hines, Gary L. "From entities to objects : reverse engineering a relational data model into an object-oriented design." Virtual Press, 2000. http://liblink.bsu.edu/uhtbin/catkey/1164846.

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In many software applications, an object-oriented design (OOD) is generated first, then persistent storage is implemented by mapping the objects to a relational database. This thesis explores the "reverse engineering" of an OOD out of an existing relational data model. Findings from the current literature are presented, and a case study is undertaken using the model and research process published by GENTECH, a nonprofit organization promoting genealogical computing. The model is mapped into an OOD and captured in Unified Modeling Language (UML) class diagrams and object collaboration diagrams. The suitability of the example OOD is evaluated against the GENTECH research process using UML use cases and sequence diagrams. The mapping of relational database designs into OODs is found to be suitable in certain instances.<br>Department of Computer Science
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Moatassem, Nawal N. "A Study of Migrating Biological Data from Relational Databases to NoSQL Databases." Youngstown State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1442486094.

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Aleksic, Mario. "Incremental computation methods in valid and transaction time databases." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8126.

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Libri sul tema "Databases"

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J, Sadalage Pramod, ed. Refactoring databases: Evolutionary database design. Addison Wesley, 2006.

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Isachyenko, Olyeg. Databases. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1171948.

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The textbook is written in accordance with the standards of the group of specialties "Computer Science and computer Engineering", the discipline "Databases". The issues related to the principles of database construction, design and operation are considered. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. For students of secondary vocational education institutions studying the discipline "Databases". It can be useful when studying a similar discipline within the curriculum of higher educational institutions.
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1947-, Paredaens Jan, ed. Databases. Academic Press, 1987.

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National Library of Medicine (U.S.). NLM online databases and databanks. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1991.

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National Library of Medicine (U.S.). NLM online databases and databanks. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1991.

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A, Bell D., ed. Relational databases. Pergamon Infotech, 1986.

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Abiteboul, S. Foundations of databases. Addison-Wesley, 1995.

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Winslett, Marianne Southall. Updating logical databases. Cambridge University Press, 1990.

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Winslett, Marianne Southall. Updating logical databases. Cambridge University Press, 2005.

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MacInnes, Jeanne. Databases. Pitman, 1990.

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Capitoli di libri sul tema "Databases"

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Thalheim, Bernhard. "Database Schemes and Databases." In Teubner-Texte zur Mathematik. 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. 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. CRC Press, 2020. http://dx.doi.org/10.1201/9780429061011-5.

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Bungay, Henry R. "Databases." In Environmental Systems Engineering. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5507-0_4.

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Zambon, Giulio. "Databases." In Practical C. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1769-6_12.

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Benedikt, Michael, and Pierre Senellart. "Databases." In Computer Science. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1168-0_10.

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Entwisle, David Christopher. "Databases." In Selective Neck Dissection for Oral Cancer. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12127-7_80-1.

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Park, Seung L., Anil V. Parwani, and Liron Pantanowitz. "Databases." In Practical Informatics for Cytopathology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9581-9_4.

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Harper, Harriet. "Databases." In Information Technology. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-11675-1_4.

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Hersh, William R. "Databases." In Information Retrieval: A Health Care Perspective. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2529-2_4.

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Atti di convegni sul tema "Databases"

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Angwin, Meredith, J. Lawrence Nelsor, and Barry C. Syrett. "Technical Database Design." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96366.

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Abstract After a brief introduction to the nature of technical databases, the following five database design characteristics are discussed: data verification procedures, structure and presentation of data, data output, and choice of software and hardware. The first two areas, types of data and data verification procedures, are of more importance for scientific databases than for non-technical databases. In this paper, three corrosion databases are discussed in terms of how they address the five design characteristics, whether they include decision tools, and what sophistication level they require from their users. It is noted that, of the five characteristics, only the last one (choice of software and hardware) is subject to occasional drastic changes: the other characteristics, grounded in the user’s needs, will evolve with the database. As long as the first four characteristics continue to satisfy the user's needs, the database will be worth porting periodically to new improved platforms that provide enhanced features.
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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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Fachada, Nuno. "Databases Without Databases: Projects for Including Database Concepts in Interdisciplinary Curricula with LINQ." In ITiCSE 2024: Innovation and Technology in Computer Science Education. ACM, 2024. http://dx.doi.org/10.1145/3649405.3659525.

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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. 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. 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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Prilukova, Yu. "CLOUD DATABASES." In Digital transformation in the economy of the transport complex. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/conferencearticle_678a0d29a7a132.73380990.

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The article reveals the concept of a cloud database, describes its varieties and features. The description of Russian analogues of cloud databases is given. It is concluded that today a complete transition to the use of cloud technologies in companies is impossible due to the availability of more reliable local storage.
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Muntjir, Mohd, Mohd Asadullah, Shabbir Hassan, and Altaf Hussain. "Cloud database systems: A model conversion in databases." In 2014 2nd International Conference on Information Technology and Electronic Commerce (ICITEC). IEEE, 2014. http://dx.doi.org/10.1109/icitec.2014.7105619.

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Rapporti di organizzazioni sul tema "Databases"

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Weninger, Jason, Garrick Evans, and Jason Hales. Integration of the NCRC Database and Other INL Databases. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2428897.

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Gandhi, Vijay, James Kang, and Shashi Shekhar. Spatial Databases. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473104.

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Bruhn, Mark, Breda Munoz, James Cajka, et al. Synthesized Population Databases: A Geospatial Database of US Poultry Farms. RTI Press, 2012. http://dx.doi.org/10.3768/rtipress.2012.mr.0023.1201.

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King, Roger. Self-Adaptive Databases. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197883.

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Baehr, A., R. Hagstrom, D. Joerg, and R. Overbeek. Querying genomic databases. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5191044.

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Kramer, Mitchell. Data Warehouse Databases. Patricia Seybold Group, 2003. http://dx.doi.org/10.1571/fw3-6-03cc.

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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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Wheaton, William, James Cajka, Bernadette Chasteen, et al. Synthesized population databases: A US geospatial database for agent-based models. RTI Press, 2009. http://dx.doi.org/10.3768/rtipress.2009.mr.0010.0905.

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Gao, Yicheng, Rui Cao, Zhihan Liu, et al. Knee osteoarthritis guidelines lack a comprehensive consideration of multiple influencing factors from evidence to recommendations: a systematic survey. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.4.0062.

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Review question / Objective: To systematically evaluate the use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approaches and factors influencing the formation from evidence to recommendations in the knee osteoarthritis (KOA) related clinical practice guidelines (CPGs). Information sources: Two English-language databases (PubMed, Embase) and four Chinese-language databases (China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Wanfang, and Chinese Biomedical Literature Database).
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Mai, Zhefen, Chunli Lu, Zixun Zhuang, and Hongxia Ma. Effectiveness and safety of Er-xian Decoction (traditional Chinese medicine) for women with Primary ovarian insufficiency. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0107.

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Review question / Objective: To assess the effectiveness and safety of Er-xian Decoction in the treatment of primary ovarian insufficiency. Information sources: We will search the following electronic databases, including 3 English databases (PubMed, EMBASE, Cochrane Library) and 4 Chinese databases (China national knowledge infrastructure database, Wanfang database, Sinomed Database, and VIP database). The filters were English and Chinese language. The following key words in Title/Abstract or MeSH search headings are used: “Er-xian” and “Hormone replacement therapy” or “Femoston” or “Climen” and “Primary ovarian insufficiency” or “Ovarian failure” or “Premature ovarian failure” or “POI” and “random*” or “Randomized controlled trial”. In addition, we also search the grey literature such as conference proceedings and dissertations in CNKI and Wanfang database, and relevant trials will be searched in ClinicalTrial.gov database [20] and Chinese Clinical Trial Registry for unpublished trials and protocols. References of all included studies will be hand searched for additional eligible studies.
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