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Relevant bibliographies by topics / Reliability (Engineering)

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Academic literature on the topic 'Reliability (Engineering)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Reliability (Engineering)"

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Suzuki, Yoshihisa. "Reliability Engineering." Journal of SHM 10, no. 4 (1994): 2–8. http://dx.doi.org/10.5104/jiep1993.10.4_2.

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Butler, Ronald W., and Richard E. Barlow. "Engineering Reliability." Journal of the American Statistical Association 95, no. 450 (2000): 682. http://dx.doi.org/10.2307/2669424.

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Larrucea, Xabier, Fabien Belmonte, Adam Welc, and Tao Xie. "Reliability Engineering." IEEE Software 34, no. 4 (2017): 26–29. http://dx.doi.org/10.1109/ms.2017.89.

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DAY, BESSE B. "RELIABILITY ENGINEERING." Journal of the American Society for Naval Engineers 73, no. 2 (2009): 251–56. http://dx.doi.org/10.1111/j.1559-3584.1961.tb03296.x.

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O’Connor, P. D. T., and Ranga Komanduri. "Reliability Engineering." Journal of Engineering Materials and Technology 110, no. 4 (1988): 401–2. http://dx.doi.org/10.1115/1.3226070.

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Khamis, Imad H. "Reliability Engineering." Technometrics 37, no. 2 (1995): 234–35. http://dx.doi.org/10.1080/00401706.1995.10484317.

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Lynch, James. "Reliability Engineering." Technometrics 39, no. 2 (1997): 226–27. http://dx.doi.org/10.1080/00401706.1997.10485088.

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Mccool, John I. "Engineering Reliability." Technometrics 41, no. 1 (1999): 75–76. http://dx.doi.org/10.1080/00401706.1999.10485602.

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Pelz, Wolfgang. "Reliability Engineering." Journal of Quality Technology 29, no. 1 (1997): 118–19. http://dx.doi.org/10.1080/00224065.1997.11979736.

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Jensen, Willis A., and Laura J. Freeman. "Reliability Engineering." Journal of Quality Technology 47, no. 4 (2015): 416–17. http://dx.doi.org/10.1080/00224065.2015.11918143.

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Dissertations / Theses on the topic "Reliability (Engineering)"

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Sasse, Guido Theodor. "Reliability engineering in RF CMOS." Enschede : University of Twente [Host], 2008. http://doc.utwente.nl/59032.

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Heineman, Judie A. "A software reliability engineering case study." Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/8975.

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Approved for public release; distribution is unlimited<br>Handling, identifying, and correcting faults are significant concerns for the software maanger because (1) the presence of faults in the operational software can put human life and mission success at risk in a safety critical application and (2) the entire software reliability process is expensive. Designing an effective Software Reliability Engineering (SRE) process is one method to increase reliability and reduce costs. This thesis describes a process that is being implemented at Marine Corps Tactical System Support Activity (MCTSSA),

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Bolgren, Daniel (Daniel Reade). "High reliability performance in Amgen Engineering." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73439.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 90).<br>Amgen is in the midst of a transformative initiative to become operationally more efficient. For Amgen Engineering, this initiative has prompted a reevaluation of the entire organization and brought to light the need to standardize, define processes, and promote a

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Lanning, David Bruce. "Fatigue reliability of cracked engineering structures /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu148794501561685.

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Saini, Gagandeep Singh. "Reliability-based design with system reliability and design improvement." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Saini_09007dcc8070d586.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 23, 2009) Includes bibliographical references (p. 66-68).

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ROBINSON, DAVID GERALD. "MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183971.

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Past research into the phenomenon of reliability growth has emphasised modeling a major reliability characteristic in terms of a specific parametric function. In addition, the time-to-failure distribution of the system was generally assumed to be exponential. The result was that in most cases the improvement was modeled as a nonhomogeneous Poisson process with intensity λ(t). Major differences among models centered on the particular functional form of the intensity function. The popular Duane model, for example, assumes that λ(t) = β(1 – α)t ⁻ᵅ. The inability of any one family of distributions

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Brunelle, Russell Dedric. "Customer-centered reliability measures for flexible multistate reliability models /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10691.

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Wickstrom, Larry E. "Reliability of Electronics." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700024/.

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The purpose of this research is not to research new technology but how to improve existing technology and understand how the manufacturing process works. Reliability Engineering fall under the category of Quality Control and uses predictions through statistical measurements and life testing to figure out if a specific manufacturing technique will meet customer satisfaction. The research also answers choice of materials and choice of manufacturing process to provide a device that will not only meet but exceed customer demand. Reliability Engineering is one of the final testing phases of any new

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Hwang, Sungkun. "Predicting reliability in multidisciplinary engineering systems under uncertainty." Thesis, Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54955.

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The proposed study develops a framework that can accurately capture and model input and output variables for multidisciplinary systems to mitigate the computational cost when uncertainties are involved. The dimension of the random input variables is reduced depending on the degree of correlation calculated by relative entropy. Feature extraction methods; namely Principal Component Analysis (PCA), the Auto-Encoder (AE) algorithm are developed when the input variables are highly correlated. The Independent Features Test (IndFeaT) is implemented as the feature selection method if the correlation

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Abujaafar, Khalifa Mohamed. "Quantitative human reliability assessment in marine engineering operations." Thesis, Liverpool John Moores University, 2012. http://researchonline.ljmu.ac.uk/6115/.

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Marine engineering operations rely substantially on high degrees of automation and supervisory control. This brings new opportunities as well as the threat of erroneous human actions, which account for 80-90% of marine incidents and accidents. In this respect, shipping environments are extremely vulnerable. As a result, decision makers and stakeholders have zero tolerance for accidents and environmental damage, and require high transparency on safety issues. The aim of this research is to develop a novel quantitative Human Reliability Assessment (HRA) methodology using the Cognitive Reliabilit

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Books on the topic "Reliability (Engineering)"

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Bradley, Edgar. Reliability Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/9781315367422.

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Kapur, Kailash C., and Michael Pecht, eds. Reliability Engineering. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118841716.

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Aggarwal, K. K. Reliability Engineering. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1928-3.

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Birolini, Alessandro. Reliability Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05409-3.

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Birolini, Alessandro. Reliability Engineering. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54209-5.

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Birolini, Alessandro. Reliability Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39535-2.

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Lazzaroni, Massimo, Loredana Cristaldi, Lorenzo Peretto, Paola Rinaldi, and Marcantonio Catelani. Reliability Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20983-3.

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Birolini, Alessandro. Reliability Engineering. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03792-8.

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Birolini, Alessandro. Reliability Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14952-8.

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Elsayed, Elsayed A. Reliability engineering. 2nd ed. John Wiley & Sons, Inc., 2012.

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Book chapters on the topic "Reliability (Engineering)"

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Tichý, Milík. "Reliability Engineering." In Topics in Safety, Reliability and Quality. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1948-1_15.

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Tinga, T. "Reliability Engineering." In Springer Series in Reliability Engineering. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4917-0_7.

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Sotoodeh, Karan. "Reliability Engineering." In Safety Engineering in the Oil and Gas Industry. CRC Press, 2023. http://dx.doi.org/10.1201/9781003387275-16.

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Bukowski, Lech A. "Reliability Engineering." In Cognitive Dependability Engineering. CRC Press, 2023. http://dx.doi.org/10.1201/9781003020752-8.

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Rhinehart, R. Russell, and Robert M. Bethea. "Reliability." In Applied Engineering Statistics, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9781003222330-25.

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Jackson, Lisa, and Frank P. A. Coolen. "Reliability." In Uncertainty in Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83640-5_6.

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AbstractThis chapter introduces key concepts for quantification of system reliability. In addition, basics of statistical inference for reliability data are explained, in particular, the derivation of the likelihood function.

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Bradley, Edgar. "Reliability Fundamentals I: Component Reliability." In Reliability Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/9781315367422-1.

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Bradley, Edgar. "Reliability Fundamentals II: System Reliability." In Reliability Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/9781315367422-2.

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Gamweger, Jürgen, Oliver Jöbstl, Manfred Strohrmann, and Wadym Suchowerskyj. "Reliability Engineering – Zuverlässigkeitsanalysen." In Design for Six Sigma. Carl Hanser Verlag GmbH & Co. KG, 2009. http://dx.doi.org/10.1007/978-3-446-42062-5_19.

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Bradley, Edgar. "Reliability Management." In Reliability Engineering, 2nd ed. CRC Press, 2022. http://dx.doi.org/10.1201/9781003326489-8.

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Conference papers on the topic "Reliability (Engineering)"

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Bhattacharya, Saikath, Eric Spero, Vidhyashree Nagaraju, Lance Fiondella, and Anindya Ghoshal. "Rotorcraft Tradespace Exploration incorporating Reliability Engineering." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10270.

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Recently tradespace analysis and exploration has emerged as an important focus area within the Department of Defense (DoD) Engineered Resilient System (ERS) initiative, which draws upon engineering concepts, science, and design tools to produce trusted and effective solutions for a wide range of operational contexts. Most of the previous research on tradespace analysis, including those developed for rotorcraft, emphasize performance. However, non-functional requirements such as reliability, availability, and maintainability (RAM) have received minimal consideration, despite their direct influe

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Zhou, Haozhou, Wei Li, Srinivasan Radhakrishnan, and Sagar Kamarthi. "Feature Engineering Toolkit for Predictive Analytics in Engineering and Healthcare Informatics." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935234.

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Toktoshov, Gulzhigit, and Denis Migov. "Analysis of Reliability Indicators of Engineering Networks." In 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2024. http://dx.doi.org/10.1109/sibircon63777.2024.10758547.

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Brown, Justin. "Reliability and Mission Engineering: Improving Mission Success." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935144.

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Brown, Justin B., and Galen Valentine. "Reliability Engineering Reference Architecture for DoD Acquisition." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935168.

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Caers, J. F. J. M., X. J. Zhao, J. Mooren, L. Stulens, and E. Eggink. "Design for reliability - a Reliability Engineering Framework." In High Density Packaging (ICEPT-HDP). IEEE, 2010. http://dx.doi.org/10.1109/icept.2010.5582735.

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Agaram, Venkatesh. "BRIDGING RELIABILITY ENGINEERING AND SYSTEMS ENGINEERING." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3584.

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<title>ABSTRACT</title> <p>The increasing application of sensors, actuators, and complex algorithms for delivering artificial intelligence and connectivity in products and product-systems will drive an unprecedented growth in design complexity and software content, making it increasingly more difficult to ensure dependability in an economical manner. Much learning about the dependability of such new and innovative products is likely to happen as they are conceived and designed. Consequently, accelerated verification and validation iterations supported by easy and rapid storag

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Khalid, K. "Reliability in engineering systems." In International Multi Topic Conference, 2002. Abstracts. INMIC 2002. IEEE, 2002. http://dx.doi.org/10.1109/inmic.2002.1310147.

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Fenton, Gordon A., and D. V. Griffiths. "Reliability-Based Geotechnical Engineering." In GeoFlorida 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41095(365)2.

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Han, Ming. "Interval estimation of reliability parameters in reliability engineering." In 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/isrme-15.2015.189.

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Reports on the topic "Reliability (Engineering)"

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Sadlon, Richard J. Mechanical Applications in Reliability Engineering. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada363860.

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Wolff, Thomas F., and Weijun Wang. Engineering Reliability of Navigation Structures. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada329341.

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Author, Not Given. Photovoltaic Reliability and Engineering (Revised) (Fact Sheet). Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1009255.

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Finkelstein, Maxim S. On engineering reliability concepts and biological aging. Max Planck Institute for Demographic Research, 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-021.

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Li, Zhongmin. Knowledge Engineering Report: An Expert System for Selecting Reliability Index. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada232821.

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Shapiro, Harvey T., and Donald R. Loose. Prospects for Integrating Reliability and Maintainability into Undergraduate Engineering Curricula. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada221379.

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Warren, Randy. TA55-PMDS: Process Maintenance & Decontamination Services Reliability Engineering Program. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1922010.

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Klie, Robert, Maria Chan, Moon Kim, Angus Rockett, and Marco Nardone. Improving reliability and reducing cost in CdTe photovoltaics via grain boundary engineering. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1574992.

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Amarkoon, Vasantha R., and Brian C. LaCourse. Reliability and Reproducibility Achieved via Grain Boundary Engineering of High Performance Electronic Ceramics. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada308736.

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Palmer. NR199506 Introduction to Limit-State Reliability Based Pipeline Design. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0011200.

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�The practical objective of this study is to demonstrate to the pipeline industry that the limit-state and reliability based design methods have a sound and respectable basis which has generated genuinely valuable application. This study outlines the history and background to limit-state and reliability-based design, develops a design methodology and then demonstrates it by application to some real pipeline engineering problems. The study highlights the benefits and identifies any limitations in the methodology and discusses how they might be resolved.

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