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Relevant bibliographies by topics / Comparison measures

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Academic literature on the topic 'Comparison measures'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "Comparison measures"

1

Rendsburg, Luca, and Damien Garreau. "Comparison-based centrality measures." International Journal of Data Science and Analytics 11, no. 3 (2021): 243–59. http://dx.doi.org/10.1007/s41060-021-00254-4.

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AbstractRecently, learning only from ordinal information of the type “item x is closer to item y than to item z” has received increasing attention in the machine learning community. Such triplet comparisons are particularly well suited for learning from crowdsourced human intelligence tasks, in which workers make statements about the relative distances in a triplet of items. In this paper, we systematically investigate comparison-based centrality measures on triplets and theoretically analyze their underlying Euclidean notion of centrality. Two such measures already appear in the literature un

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QU, Yanhui. "Comparison of fractal measures." Science in China Series A 48, no. 11 (2005): 1545. http://dx.doi.org/10.1360/04ys0211.

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Prasad, Somdutt. "Comparison of Prophylactic Measures." Journal of Cataract & Refractive Surgery 28, no. 12 (2002): 2071. http://dx.doi.org/10.1016/s0886-3350(02)01910-7.

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Tentori, Katya, Vincenzo Crupi, Nicolao Bonini, and Daniel Osherson. "Comparison of confirmation measures." Cognition 103, no. 1 (2007): 107–19. http://dx.doi.org/10.1016/j.cognition.2005.09.006.

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Ball, Fabian, and Andreas Geyer-Schulz. "Invariant Graph Partition Comparison Measures." Symmetry 10, no. 10 (2018): 504. http://dx.doi.org/10.3390/sym10100504.

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Symmetric graphs have non-trivial automorphism groups. This article starts with the proof that all partition comparison measures we have found in the literature fail on symmetric graphs, because they are not invariant with regard to the graph automorphisms. By the construction of a pseudometric space of equivalence classes of permutations and with Hausdorff’s and von Neumann’s methods of constructing invariant measures on the space of equivalence classes, we design three different families of invariant measures, and we present two types of invariance proofs. Last, but not least, we provide alg

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Oyeka, I. C. A., and C. C. Nnanatu. "Pairwise Comparison in Repeated Measures." Journal of Modern Applied Statistical Methods 13, no. 2 (2014): 151–68. http://dx.doi.org/10.22237/jmasm/1414814820.

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Laures, Jacqueline S., and Gary G. Weismer. "Comparison of speech intelligibility measures." Journal of the Acoustical Society of America 117, no. 4 (2005): 2604. http://dx.doi.org/10.1121/1.4777735.

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Eisert, Jens, and Martin B. Plenio. "A comparison of entanglement measures." Journal of Modern Optics 46, no. 1 (1999): 145–54. http://dx.doi.org/10.1080/09500349908231260.

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Maor, Yasmin, Miri King, Liraz Olmer, and Benjamin Mozes. "A comparison of three measures." Journal of Clinical Epidemiology 54, no. 6 (2001): 565–70. http://dx.doi.org/10.1016/s0895-4356(00)00338-3.

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Rebeschini, Patrick, and Ramon van Handel. "Comparison Theorems for Gibbs Measures." Journal of Statistical Physics 157, no. 2 (2014): 234–81. http://dx.doi.org/10.1007/s10955-014-1087-7.

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Dissertations / Theses on the topic "Comparison measures"

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Jivsäter, Andreas, and Marcus Martinsson. "A comparison of management performance measures." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-21644.

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Salim, Naomie. "Analysis and comparison of molecular similarity measures." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274970.

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Mezo, Peter Geza. "A Comparison of Four Measures of Self-Control Skills." Thesis, University of Hawaii at Manoa, 2002. http://hdl.handle.net/10125/7083.

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Bletzinger, Kara. "A Comparison of Two Measures of Oral Reading Fluency." TopSCHOLAR®, 2006. http://digitalcommons.wku.edu/theses/441.

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Reading fluency is an important part of the process of learning to read. It is commonly assessed by the use of Curriculum-Based Measurement (CBM) techniques; however, a new assessment method emerged in the Woodcock-Johnson Tests of Achievement- Third Edition (WJ-III). Only one previous study had examined the validity of the Reading Fluency test from the WJ-III by comparing it to established CBM measures of reading fluency for a sample of third-grade students. The resulting correlation between the two measures supported the validity of the WJIII Reading Fluency test, but it was unclear as to th

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Wilde, Laura E. "A comparison of seven automated measures of syntactic complexity /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2942.pdf.

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Wilde, Laura Elizabeth. "A Comparison of Seven Automated Measures of Syntactic Complexity." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1722.

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This study compared seven syntactic measures which can be automatically generated by the Computerized Profiling (CP) software: Mean Length of Utterance in morphemes or words (MLUm or MLUw), Mean Syntactic Length (MSL), the Index of Productive Syntax (IPSyn), the Picture Elicited Scoring Procedure (PESP) for the Language Analysis Remediation and Screening Profile (LARSP), the Syntactic Complexity Score (MSC) scoring of LARSP, and Developmental Sentence Scoring (DSS). Language samples came from 192 children, 106 typically developing children, ages 5;6 to 11;2 and 86 children with language impair

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Kowalchuk, Rhonda K. D. "Repeated measures multiple comparison procedures with a mixed model analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ51642.pdf.

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Fisher, Michael John. "A comparison of two depression measures for people with schizophrenia." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ64951.pdf.

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Rousseau, Glenna S. Vernon Laura. "A comparison of personal attribute and scenario based shame measures." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Fall/Thesis/ROUSSEAU_GLENNA_56.pdf.

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Lee, Daryl Hsu Ann. "Toward large-graph comparison measures to understand Internet topology dynamics." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37658.

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Approved for public release; distribution is unlimited<br>By measuring network changes, we can get a better understanding of a network. Extending this to the Internet, we are able to understand the constantly occuring changes on an international scale. In this research, we propose a measure that conveys the relative magnitude of the change between two networks (i.e., Internet topology). The measure is normalised and intuitively gives an indication of whether the change is small or large. We start off by applying this measure to standard common graphs, as well as random graphs. These graphs we

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Books on the topic "Comparison measures"

1

Madden, David. A comparison of poverty and welfare measures. University College Dublin, Department of Economics, 1997.

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Dechema, ed. Safety standards and regulations for chemical plant [i.e. plants] in Europe: A comparison. Dechema, 1988.

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Korea (South). Sikpʻum Ŭiyakpʻum Anjŏnchʻŏng., ред. Ŭiryoyong pangsanŭng pigyo chʻŭkchŏng =: Comparison of radioactivity in nuclear medicine. Sikpʻum Ŭiyakpʻum Anjŏnchʻŏng Ŭiryo Kigi Pʻyŏngkabu Pangsasŏn Pʻyojuntʻim, 2007.

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Pinsent, Philip John. A comparison of tests of recall as measures of foreign language listening comprehension. Department of English as a Second Language, University o f Hawaii at Manoa, 1986.

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5

Donovan, Deborah. Comparison of mobile source emission control measures to reduce ozone in Eastern Massachusetts. John F. Kennedy School of Government, 1992.

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Karahan, Saltuk Bugra. Comparison of performance measures in the virtual environment and real world land navigation tasks. Naval Postgraduate School, 2000.

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Riggs, R. Trial evaluations in comparison with the 1983 safety goals. Division of Safety Technology, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1985.

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Roelen, A. L. C. Causal risk models of air transport: Comparison of user needs and model capabilities. IOS Press, 2008.

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Roelen, A. L. C. Causal risk models of air transport: Comparison of user needs and model capabilities. IOS Press, 2008.

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Roelen, A. L. C. Causal risk models of air transport: Comparison of user needs and model capabilities. IOS Press, 2008.

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Book chapters on the topic "Comparison measures"

1

Ahmed, Mahmuda, Sophia Karagiorgou, Dieter Pfoser, and Carola Wenk. "Quality Measures for Map Comparison." In Map Construction Algorithms. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25166-0_6.

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Denuit, Michel, Donatien Hainaut, and Julien Trufin. "Other Measures for Model Comparison." In Springer Actuarial. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57556-4_6.

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Żywica, Patryk, Anna Stachowiak, and Joanna Siwek. "Visual Comparison of Inclusion Measures." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97228-7_10.

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Saastamoinen, Kalle. "Logical Comparison Measures in Classification of Data—Nonmetric Measures." In Time Series Analysis and Forecasting. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96944-2_12.

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Carmichael, Gordon A. "Comparison: Standardization and Decomposition." In Fundamentals of Demographic Analysis: Concepts, Measures and Methods. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23255-3_2.

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Breckling, Jens. "Comparison of Different Measures of Association." In The Analysis of Directional Time Series: Applications to Wind Speed and Direction. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3688-7_8.

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Forero, Manuel G., Carlos Arias-Rubio, and Brigete Tatiana González. "Analytical Comparison of Histogram Distance Measures." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13469-3_10.

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Stemmer, Georg, Stefan Steidl, Elmar Nöth, Heinrich Niemann, and Anton Batliner. "Comparison and Combination of Confidence Measures." In Text, Speech and Dialogue. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46154-x_25.

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Van der Weken, Dietrich, Mike Nachtegael, and Etienne Kerre. "Using Similarity Measures for Histogram Comparison." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44967-1_47.

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González, Javier, and Alberto Muñoz. "Spectral Measures for Kernel Matrices Comparison." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74690-4_74.

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Conference papers on the topic "Comparison measures"

1

Loftis, K., and D. Barnes. "Comparison of Dynamic and Static Backface Deformation Measures." In Personal Armour Systems Symposium. Royal Military Academy (Belgium), 2023. https://doi.org/10.52202/080042-0012.

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Merino, Sebastian, Stefano E. Romero, Alexys Caytano, Hans Trujillo, and Benjamin Castaneda. "Proposal and comparison of quality measures in Crawling Waves Sonoelastography." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782767.

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Lopez-Molina, C., C. Marco-Detchart, H. Bustince, J. Fernandez, A. Lopez-Maestresalas, and D. Ayala-Martini. "Hyperspectrum comparison using similarity measures." In 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS). IEEE, 2017. http://dx.doi.org/10.1109/ifsa-scis.2017.8023259.

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Vinh, Nguyen Xuan, Julien Epps, and James Bailey. "Information theoretic measures for clusterings comparison." In the 26th Annual International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1553374.1553511.

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Drotar, Peter, and Zdenek Smekal. "Comparison of stability measures for feature selection." In 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2015. http://dx.doi.org/10.1109/sami.2015.7061849.

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Kua, Jia Min Karen, Julien Epps, Mohaddeseh Nosratighods, Eliathamby Ambikairajah, and Eric Choi. "Using clustering comparison measures for speaker recognition." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947592.

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Dai, Qi, Lihua Li, Tuan Pham, Tuan Pham, and Xiaobo Zhou. "Novel Probabilistic Measures for DNA Sequence Comparison." In 2009 INTERNATIONAL CONFERNECE ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-09). AIP, 2010. http://dx.doi.org/10.1063/1.3314269.

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Halvarsson, Bjorn. "Comparison of some Gramian based interaction measures." In 2008 IEEE International Conference on Computer-Aided Control Systems (CACSD) part of the Multi-Conference on Systems and Control. IEEE, 2008. http://dx.doi.org/10.1109/cacsd.2008.4627362.

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Guo, F., and J. K. Gershenson. "Comparison of Modular Measurement Methods Based on Consistency Analysis and Sensitivity Analysis." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dtm-48634.

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Most modularity measures center on quantifying dependencies with components external to modules. Some modularity measures include an accounting of component similarity. What is measured as dependencies and similarities varies by measure and by context. Additionally, there is some subjectivity in the measures. Noticeably, the measures lack rigorous verification and validation. There is also a lack of quantitative comparison among the various measures. This research highlights the consistencies among the measures of modular product design and attempts to select a single measure for use in future

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Koo, Imhoi, Xiang Zhang, and Seongho Kim. "Comparison of Spectral Similarity Measures for Compound Identification." In 2011 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2011. http://dx.doi.org/10.1109/icbbe.2011.5780011.

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Reports on the topic "Comparison measures"

1

Edney, Carey. A comparison of three measures of waking fantasy. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2988.

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Gust, Jeff C., and Georgia L. Harris. Weights and measures division quality manual for proficiency testing and interlaboratory comparison. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7214.

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Zablotsky, Benjamin, Emily Terlizzi, Jennifer Madans, Stephen Blumberg, and Julie Weeks. Assessing Anxiety and Depression: A Comparison of National Health Interview Survey Measures. National Center for Health Statistics (U.S.), 2022. http://dx.doi.org/10.15620/cdc:117491.

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Kircher, John C., Ted Packard, Brian G. Bell, and Paul C. Bernhard. Comparison of Skin Conductance and Skin Resistance Measures for the Detection of Deception. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada404127.

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Dukart, Carla. A Comparison of Speech Intelligibility Measures between Unsophisticated Listener Judgements and Orthographic Transcription. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7130.

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Rebucci, Alessandro, Andrés Fernández Martín, Michael W. Klein, Martin Uribe, and Martin Schindler. Capital Control Measures: A New Dataset. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0011677.

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This paper presents and describes a new dataset of capital control restrictions on both inflows and outflows of 10 categories of assets for 100 countries over the period 1995 to 2013. Building on the data first presented in Schindler (2009) and other datasets based on the analysis of the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER), this dataset includes additional asset categories, more countries, and a longer time period. The paper discusses the manner in which information in the AREAER is translated into a usable dataset. The paper additionally characteriz

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Young, Sabrina K., Elina T. Page, Abigail Mary Okrent, and Megan Sweitzer. Assessment and adjustment of body weight measures in scanner data. Economic Research Service, U.S. Department of Agriculture, 2023. http://dx.doi.org/10.32747/2023.8054018.ers.

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USDA, Economic Research Service compares use of self-reported height and weight data available in scanner data with measured height and weight data to calculate body mass index (BMI) of household members and identifies methods for adjusting self-reported data to improve accuracy. The report also includes a comparison of methods for defining the obesity status of a household.

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Schulz, David S. A Comparison of Alternative Measures of the Qualified Military Available and Interested Recruit Market. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada267435.

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Barrett, Garry, Peter Levell, and Kevin Milligan. A Comparison of Micro and Macro Expenditure Measures Across Countries Using Differing Survey Methods. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19544.

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Conklin, Edward. A comparison of measures of emotions from written reports of dreams and waking experiences. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5251.

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