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Harnessing cutting-edge technologies for sustainable future shipping: An overview of innovations, drivers, barriers, and opportunities

Authors

  • Anas S. Alamoush Maritime Energy Management, World Maritime University, Malmö, Sweden
  • Aykut I. Ölçer Maritime Energy Management, World Maritime University, Malmö, Sweden

DOI:

https://doi.org/10.33175/mtr.2025.277313

Keywords:

Ships sustainable technologies; Barriers; Drivers; Decarbonization; Digitalization

Abstract

Sustainable shipping technologies are advancing considerably, but results are fragmented. This study, thus, reviews the literature and organizes the results into cohesive clusters based on their defining characteristics, drivers, barriers, and opportunities. The first cluster, automation technologies, includes autonomous navigation, remote machinery operation, automated maintenance, and cargo handling systems. These technologies streamline operations, reduce human error, and improve safety, thereby driving efficiency and sustainability in maritime transport. The second cluster, digital technologies, covers tools such as the Internet of Things (IoT), big data analytics, blockchain, digital twinning, and augmented and virtual reality. These innovations enable real-time monitoring, predictive maintenance, and the optimization of vessel performance, leading to cost savings, reduced emissions, and improved decision-making capabilities. The third cluster, Carbon emission reduction technologies, focuses on decarbonization strategies including alternative fuels, battery-electric and hybrid propulsion, renewable energy capture, and technologies for reducing emissions via hull and propeller efficiencies, waste heat recovery, and exhaust treatment. These solutions play a vital role in meeting the industry's decarbonization targets. Finally, the fourth cluster, advanced emerging technologies, includes advanced sensors, robotics, advanced materials, human-computer interaction, human augmentation, and artificial intelligence (AI) algorithms. These cutting-edge innovations support automation and enhance ship operations, and pave the way for future advancements in sustainable shipping. This study has broad implications for industry stakeholders, including shipowners, operators, technology vendors, and policymakers. For instance, shipowners can leverage automation and digital technologies to optimize fleet management, reduce operational costs, and improve energy efficiency, enhancing sustainability. Policymakers and shore regulators can learn about future technologies and their barriers and opportunities and, thus, prepare for future actions. Overall, this study provides valuable insights for both practitioners and academics, offering a comprehensive overview of the latest developments and best practices in sustainable shipping.

Highlights

  • Technologies for sustainable future shipping are reviewed. 
  • Technologies clustered into: automation, digitalization, carbon emission reduction, and advanced emerging technologies. 
  • Drivers, barriers, and opportunities in each technology are identified.
  • Shipowners, operators, technology providers, and policymakers benefit from the study results.

References

AAWA. (2016). Remote and autonomous ships: The next step. The Advanced Autonomous Waterborne Applications (AAWA) Initiative. Retrieved from https://www.rolls-royce.com/~/media/Files/R/Rolls-Royce/documents/customers/marine/ship-intel/aawa-whitepaper-210616.pdf

Accenture. (2018). Blockchain for Contracts. Retrieved from https://www.accenture.com/sg-en/success- blockchain-contracts

Alamoush, A.S. (2024a). Harboring change: Exploring the multifaceted and complex determinants of decarbonizing ports. Energy Research and Social Science, 118(5), 103751. https://doi.org/10.1016/j.erss.2024.103751

Alamoush, A.S. (2024b). Trends in port decarbonisation research: are we reinventing the wheel? Current Opinion in Environmental Sustainability, 71, 101478. https://doi.org/10.1016/j.cosust.2024.101478

Alamoush, A.S., Ballini, F., & Ölçer, A.I. (2021). Revisiting port sustainability as a foundation for the implementation of the United Nations Sustainable Development Goals (UN SDGs). Journal of Shipping and Trade, 6, 19. https://doi.org/10.1186/s41072-021-00101-6

Alamoush, A.S., Ballini, F., & Ölçer, A.I. (2024). Management of stakeholders engaged in port energy transition. Energy Policy, 188, 114074. https://doi.org/10.1016/j.enpol.2024.114074

Alamoush, A.S., Dalaklis, D., Ballini, F., & Ölcer, A.I. (2023). Consolidating port decarbonisation implementation: Concept, pathways, barriers, solutions, and opportunities. Sustainability, 15, 14185. https://doi.org/https://doi.org/10.3390/ su151914185

Alamoush, A.S., & Ölçer, A.I. (2025). Maritime autonomous surface ships: Architecture for autonomous navigation systems. Marine Science and Engineering, 13(122), 13010122. https://doi.org/https://doi.org/10.3390/jmse13010122

Alamoush, A.S., Ölçer, A.I., & Ballini, F. (2022). Ports’ role in shipping decarbonisation: A common port incentive scheme for shipping greenhouse gas emissions reduction. Cleaner Logistics and Supply Chain, 3, 100021. https://doi.org/10.1016/j.clscn.2021.100021

Alamoush, A.S., Ölçer, A.I., & Ballini, F. (2024). Drivers, opportunities, and barriers, for adoption of Maritime Autonomous Surface Ships (MASS). Journal of International Maritime Safety, Environmental Affairs, and Shipping, 8(4), 2411183. https://doi.org/10.1080/25725084.2024.2411183

Ampah, J.D., Yusuf, A.A., Afrane, S., Jin, C., & Liu, H. (2021). Reviewing two decades of cleaner alternative marine fuels: Towards IMO’s decarbonization of the maritime transport sector. Journal of Cleaner Production, 320(5), 128871. https://doi.org/10.1016/j.jclepro.2021.128871

Aslam, S., Michaelides, M.P., & Herodotou, H. (2020). Internet of ships: A survey on architectures, emerging applications, and challenges. IEEE Internet of Things Journal, 7(10), 9714-9727. https://doi.org/10.1109/JIOT.2020.2993411

Balcombe, P., Brierley, J., Lewis, C., Skatvedt, L., Speirs, J., Hawkes, A., & Sta, I. (2019). How to decarbonise international shipping: Options for fuels, technologies and policies. Energy Conversion and Management, 182(12), 72-88. https://doi.org/10.1016/j.enconman.2018.12.080

Bertram, V. (2020). Technology trends for ships and shipping of tomorrow. Maritime Technology and Research, 2(1), 190783. https://doi.org/https://doi.org/10.33175/mtr.2020.190783

Bouman, E.A., Lindstad, E., Rialland, A.I., & Strømman, A.H. (2017). State-of-the-art technologies, measures, and potential for reducing GHG emissions from shipping: A review. Transportation Research Part D: Transport and Environment, 52, 408-421. https://doi.org/10.1016/j.trd.2017.03.022

Campbell, S., Naeem, W., & Irwin, G.W. (2012). A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres. Annual Reviews in Control, 36(2), 267-283. https://doi.org/10.1016/j.arcontrol.2012.09.008

CCS. (2018). Guidelines for autonomous cargo ships: China classification society. Guidance Notes GD20-2018, China Classification Society.

Dahlgren, S., Kanda, W., & Anderberg, S. (2022). Drivers for and barriers to biogas use in manufacturing, road transport and shipping: a demand-side perspective. Biofuels, 13(2), 177-188. https://doi.org/10.1080/17597269.2019.1657661

Deling, W., Dongkui, W., Changhai, H., & Changyue, W. (2020). Marine autonomous surface ship: A great challenge to maritime education and training. American Journal of Water Science and Engineering, 6(1), 10. https://doi.org/10.11648/j.ajwse.20200601.12

Denyer, D., & Tranfield, D. (2009). Producing a systematic review (pp. 671-689). In Buchanan, D., & Bryman, A. (Eds.). The SAGE handbook of organizational research methods. SAGE Publications.

DNV. (2014). The future of shipping. Det Norske Veritas.

DNV. (2016). Technology outlook 2025. Det Norske Veritas.

DNV. (2017). Additive manufacturing: Qualification and certification process for materials and components (Issue November). Retrieved from https://rules.dnvgl.com/docs/pdf/DNVGL/CG/2017-11/DNVGL-CG-0197.pdf

DNV. (2018a). New centre to boost 3D printing in oil and gas industry. Retrieved from https://www.dnvgl.com/oilgas/perspectives/new-centre-to-boost-3D-printing-in-oil-and-gas-industry.html

DNV. (2018b). Remote-Controlled and Autonomous Ships in the Maritime Industry - Position Paper. Det Norske Veritas.

Earthy, J.V., & Lützhöft, M. (2018). Autonomous ships, ICT and safety management (pp. 141-165).. In Oltedal, H.A., & Lützhöft, M. (Eds.). Managing Maritime Safety. Taylor and Francis. https://doi.org/10.4324/9780203712979

Foretich, A., Zaimes, G.G., Hawkins, T.R., & Newes, E. (2021). Challenges and opportunities for alternative fuels in the maritime sector. Maritime Transport Research, 2(6), 100033. https://doi.org/10.1016/j.martra.2021.100033

Garcia-Dominguez, A. (2015). Mobile applications, cloud and bigdata on ships and shore stations for increased safety on marine traffic: A smart ship project (pp. 1532-1537). In Proceedings of the IEEE International Conference on Industrial Technology 2015. https://doi.org/10.1109/ICIT.2015.7125314

Gerlitz, L., Mildenstrey, E., & Prause, G. (2022). Ammonia as clean shipping fuel for the Baltic Sea Region. Transport and Telecommunication, 23(1), 102-112. https://doi.org/10.2478/ttj-2022-0010

Ghaderi, H. (2020). Wider implications of autonomous vessels for the maritime industry: Mapping the unprecedented challenges. Advances in Transport Policy and Planning (Vol. 5). Elsevier B.V. https://doi.org/10.1016/bs.atpp.2020.05.002

Glenn Wright, R. (2019). Intelligent autonomous ship navigation using multisensor modalities. TransNav, 13(3), 503-510. https://doi.org/10.12716/1001.13.03.03

GM. (2021). Green Marine. Retrieved from https://green-marine.org/about-us

Heffner, K., & Rødseth, E.J. (2019). Enabling technologies for maritime autonomous surface ships. Journal of Physics: Conference Series, 1357(1), 012021. https://doi.org/10.1088/1742-6596/1357/1/012021

Höyhtyä, M. (2019). Connectivity manager: Ensuring robust connections for autonomous ships (pp. 86-90). In Proceedings of the 2nd International Conference on Intelligent Autonomous Systems. https://doi.org/10.1109/ICoIAS.2019.00022

Höyhtyä, M., Huusko, J., Kiviranta, M., Solberg, K., & Rokka, J. (2017). Connectivity for autonomous ships: Architecture, use cases, and research challenges (pp. 345-350.). In Proceedings of the International Conference on Information and Communication Technology Convergence 2017. https://doi.org/10.1109/ICTC.2017.8191000

Höyhtyä, M., & Martio, J. (2020). Integrated satellite-terrestrial connectivity for autonomous ships: Survey and future research directions. Remote Sensing, 12(15), 2507. https://doi.org/10.3390/RS12152507

Huh, S., Cho, S., & Kim, S. (2017). Managing IoT devices using blockchain platform (pp. 464-467). In Proceedings of the 19th International Conference on Advanced Communications Technology.

Im, I., Shin, D., & Jeong, J. (2018). Components for smart autonomous ship architecture based on intelligent information technology. Procedia Computer Science, 134, 91-98. https://doi.org/10.1016/j.procs.2018.07.148

IMO. (2018). Maritime Safety Committee (MSC), 100th Session-Regulatory Scoping Exercise on Maritime Autonomous Surface Ships (MASS). International Maritime Organisation.

IMO. (2020). Fourth IMO GHG study: Reduction of GHG emissions from ships. MEPC 75/7/15. International Maritime Organization. https://docs.imo.org/Shared/Download.aspx?did=125134

Jesson, J.K., Matheson, L., & Lacey, F.M. (2011). Doing your literature review: Traditional and systematic techniques. SAGE Publications.

Kim, H., Koo, K.Y., & Joung, T.H. (2020). A study on the necessity of integrated evaluation of alternative marine fuels. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 4(2), 26-31. https://doi.org/10.1080/25725084.2020.1779426

Koikas, G., Papoutsidakis, M., & Nikitakos, N. (2019). New technology trends in the design of autonomous ships. International Journal of Computer Applications, 178(25), 4-7. https://doi.org/10.5120/ijca2019919043

Kooij, C., Loonstijn, M., Hekkenberg, R. G., & Visser, K. (2018). Towards autonomous shipping: Operational challenges of unmanned short sea cargo vessels (pp. 871-880). In Kujala & Lu (Eds.). Marine Design XIII (Vol. 2). Taylor & Francis. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061320476&partnerID=40&md5=fe794bb1effc633b47d20b1345d88a47

Lan, H., Wen, S., Hong, Y.Y., Yu, D.C., & Zhang, L. (2015). Optimal sizing of hybrid PV/diesel/battery in ship power system. Applied Energy, 158, 26-34. https://doi.org/10.1016/j.apenergy.2015.08.031

Liberati, A., Altman, D.G., Tetzlaff, J., Mulrow, C., Gøtzsche, P.C., Ioannidis, J.P.A., Clarke, M., Devereaux, P.J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Medicine, 6(7), e1000100. https://doi.org/10.1371/journal.pmed.1000100

Lind, M., Michaelides, M., Ward, R., & Watson, R. T. (2021). Maritime informatics. Springer.

Lindstad, E., Lagemann, B., Rialland, A., Gamlem, G.M., & Valland, A. (2021). Reduction of maritime GHG emissions and the potential role of E-fuels. Transportation Research Part D: Transport and Environment, 101(11), 103075. https://doi.org/10.1016/j.trd.2021.103075

Liu, Z., Zhang, Y., Yu, X., & Yuan, C. (2016). Unmanned surface vehicles: An overview of developments and challenges. Annual Reviews in Control, 41, 71-93. https://doi.org/10.1016/j.arcontrol.2016.04.018

Lloyd’s Register. (2015). Global marine technology trends 2030.

Lloyd’s Register. (2017). Global marine technology trends 2030: Autonomous systems.

Manno, G. (2015). A pathway towards more sustainable shipping in 2050: A possible future for automation and remote operations (pp. 43-55). In Proceedings of the International Conference on Maritime and Port Technology and Development 2014. https://doi.org/10.1201/b17517-7

Mukhtar, A., Xia, L., & Tang, T.B. (2015). Vehicle detection techniques for collision avoidance systems: A review IDEAS: Lab-in-a-Pill project view project neurosignal processing view project vehicle detection techniques for collision avoidance systems: A review. IEEE Transactions on Intelligent Transportation Systems, 16(5), 1-21. https://doi.org/10.1109/TITS.2015.2409109

MUNIN. (2016). Final Report Summary-MUNIN (Maritime Unmanned Navigation through Intelligence in Networks). Retrieved from https://cordis.europa.eu/project/rcn/104631/reporting/en

Noel, A., Shreyanka, K., Kumar, K.G.S., Shameem, B.M., & Akshar, B. (2019). Autonomous ship navigation methods: A review (pp. 161-175). In Proceedings of the International Conference on Marine Engineering and Technology 2019. https://doi.org/10.24868/icmet.oman.2019.028

Nyanya, M.N., Vu, H.B., Schönborn, A., & Ölçer, A.I. (2021). Wind and solar assisted ship propulsion optimisation and its application to a bulk carrier. Sustainable Energy Technologies and Assessments, 47(9), 101397. https://doi.org/10.1016/j.seta.2021.101397

Ölçer, A.I., & Alamoush, A.S. (2025). MASS and decarbonisation policy : Exploring the nexus between maritime autonomous surface ships and decarbonisation efforts. In Chae, C.J., & Baumler, R. (Eds.). Maritime Autonomous Surface Ships (MASS) - Regulation, Technology, and Policy Three Dimensions of Effective Implementation.

Ölçer, A.I., Kitada, M., Lagdami, K., Ballini, F., Alamoush, A.S., & Peyman, G.M. (2023). Transport 2040: Impact of Technology on Seafarers - The Future of Work. World Maritime University. https://doi.org/http://dx.doi.org/10.21677/230613

Palma, D. (2018). Enabling the maritime internet of things: CoAP and 6LoWPAN performance over VHF links. IEEE Internet of Things Journal, 5(6), 5205-5212. https://doi.org/10.1109/JIOT.2018.2868439

Park, C., Jeong, B., Zhou, P., Jang, H., Kim, S., Jeon, H., Nam, D., & Rashedi, A. (2022). Live-Life cycle assessment of the electric propulsion ship using solar PV. Applied Energy, 309, 118477. https://doi.org/10.1016/j.apenergy.2021.118477

Park, J.S., & Lee, J.H. (2018). Sea-trial verification of ultrasonic antifouling control. Biofouling, 34(1), 98-110. https://doi.org/10.1080/08927014.2017.1409347

Perera, L.P. (2018). Autonomous ship navigation under deep learning and the challenges in colregs (p. 11B). In Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering. https://doi.org/10.1115/OMAE2018-77672

Perera, L.P., & Mo, B. (2016). Machine intelligence for energy efficient ships: A big data solution (pp. 143-150). In Proceedings of the 3rd International Conference on Maritime Technology and Engineering. https://doi.org/10.1201/b21890-21

Perera, L.P., Moreira, L., Santos, F.P., Ferrari, V., Sutulo, S., & Guedes, C.S. (2012). A navigation and control platform for real-time manoeuvring of autonomous ship models. IFAC Proceedings Volumes, 45(27), 465-470. https://doi.org/10.3182/20120919-3-IT-2046.00079

Petticrew, M., & Roberts, H. (2008). Systematic reviews in the social sciences: A practical guide. In Systematic Reviews in the Social Sciences: A Practical Guide (1st ed.). Blackwell Publishing. https://doi.org/10.1002/9780470754887

Poikonen, J. (2018). Requirements and challenges of multimedia processing and broadband connectivity in remote and autonomous vessels. In Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting. https://doi.org/10.1109/BMSB.2018.8436799

Pu, S., & Lam, J.S.L. (2021). Blockchain adoptions in the maritime industry: A conceptual framework. Maritime Policy and Management, 48(6), 777-794. https://doi.org/10.1080/03088839.2020.1825855

Rajapakse, R., & Emad, G.R. (2019). A review of technology, infrastructure and human competence of maritime stakeholders on the path towards autonomous short sea shipping (pp. 313-320). In Proceedings of the International Association of Maritime Universities. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078045488&partnerID=40&md5=97101f19355ce04919b0e24022047f40

Rehmatulla, N., Parker, S., Smith, T., & Stulgis, V. (2017). Wind technologies: Opportunities and barriers to a low carbon shipping industry. Marine Policy, 75, 217-226. https://doi.org/10.1016/j.marpol.2015.12.021

Rødseth, Ø.J., & Bolbot, V. (2020). AUTOSHIP D3.1 - Autonomous ship design standards (Issue July). Autonomous Shipping Initiative for European Water. https://doi.org/10.13140/RG.2.2.20950.88644

Rødseth, Ø.J., & Kvamstad, B. (2012). Evaluation of ship to shore communication links. MUNIN D4.3. Maritime Unmanned Navigation through Intelligence in Networks. Retrieved from http://www.unmanned-ship.org/munin/wp-content/uploads/2014/02/d4-3-eval-ship-shore-v11.pdf

Rødseth, Ø.J., & Tjora, Å. (2018). A system architecture for an unmanned ship (pp. 291-302). In Proceedings of the 13th International Conference on Computer and IT Applications in the Maritime Industries. http://www.ssi.tu-harburg.de/doc/webseiten_dokumente/compit/dokumente/compit2014_redworth.pdf

Sæther, S.R., & Moe, E. (2021). A green maritime shift: Lessons from the electrification of ferries in Norway. Energy Research and Social Science, 81(8), 102282. https://doi.org/10.1016/j.erss.2021.102282

Schiaretti, M., Chen, L., & Negenborn, R.R. (2017). Survey on autonomous surface vessels: Part I - A new detailed definition of autonomy levels. Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 10572, 219-233. https://doi.org/10.1007/978-3-319-68496-3_15

Schwab, K. (2016). The fourth industrial revolution. Worl Economic Forum.

Seatrade Maritime News. (2018). Where the digital and physical world’s meet the biggest risk for blockchain. Retrieved from https://www.seatrade-maritime.com/europe/where-digital-and-physical-worlds-meet-biggest-risk-blockchain

Serra, P., & Fancello, G. (2020). Towards the IMO’s GHG goals : A critical overview of the perspectives and challenges of the main options for decarbonizing international shipping. Sustainability, 12(8), 3220. https://doi.org/doi:10.3390/su12083220

Silverajan, B., Ocak, M., & Nagel, B. (2018). Cybersecurity attacks and defences for unmanned smart ships (pp. 15-20). In Proceedings of the IEEE 2018 International Congress on Cybermatics. https://doi.org/10.1109/Cybermatics_2018.2018.00037

Solakivi, T., Paimander, A., & Ojala, L. (2022). Cost competitiveness of alternative maritime fuels in the new regulatory framework. Transportation Research Part D: Transport and Environment, 113(11), 103500. https://doi.org/10.1016/j.trd.2022.103500

Sullivan, B.P. (2022). A life cycle perspective to sustainable hydrogen powered maritime systems - functional and technical requirements. International Journal of Product Lifecycle Management, 14(2-3), 282-301. https://doi.org/10.1504/IJPLM.2022.125822

Tang, X., Pei, Z., Yin, S., Li, C., Wang, P., Wang, Y., & Wu, Z. (2020). Practical design and implementation of an autonomous surface vessel prototype: Navigation and control. International Journal of Advanced Robotic Systems, 17(3), 1729881420919949. https://doi.org/10.1177/1729881420919949

UN. (2020). 17 Goals to transform our world. United Nations. Retrieved from https://www.un.org/sustainabledevelopment

UNCTAD. (2019). Digitalization in maritime transport: Ensuring opportunities for development. United Nation Conference on Trade and Development. Retrieved from https://www.globeinst.org/chainport/%0Ahttps://unctad.org/en/pages/PublicationWebflyer.aspx?publicationid=2479

Viktorelius, M., & Lundh, M. (2019). Energy efficiency at sea: An activity theoretical perspective on operational energy efficiency in maritime transport. Energy Research and Social Science, 52(1), 1-9. https://doi.org/10.1016/j.erss.2019.01.021

Wang, Y., & Wright, L.A. (2021). A comparative review of alternative fuels for the maritime sector: Economic, technology, and policy challenges for clean energy implementation. World, 2(4), 456-481. https://doi.org/10.3390/world2040029

WÄRTSILÄ. (2022). 50 great ways the maritime industry could reduce its greenhouse gas emissions. Maritime Battery Forum.

WBG/IAPH/WPSP. (2020). Accelerating digitalization: Critical actions to strengthen the resilience of the maritime supply chain (Issue December). World Bank Publications. The World Bank Group.

Xing, H., Spence, S., & Chen, H. (2020). A comprehensive review on countermeasures for CO2 emissions from ships. Renewable and Sustainable Energy Reviews, 134(8), 110222. https://doi.org/10.1016/j.rser.2020.110222

Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology? A systematic review. Plos One, 11(10), 0163477. https://doi.org/10.1371/journal.pone.0163477

Zhou, X.Y., Liu, Z.J., Wu, Z.L., & Wang, F.W. (2019). Quantitative processing of situation awareness for autonomous ships navigation. TransNav, 13(1), 25-31. https://doi.org/10.12716/1001.13.01.01

Zincir, B. (2022). Environmental and economic evaluation of ammonia as a fuel for short-sea shipping: A case study. International Journal of Hydrogen Energy, 47(41), 18148-18168. https://doi.org/10.1016/j.ijhydene.2022.03.281

Zolich, A., Palma, D., Kansanen, K., Fjørtoft, K., Sousa, J., Johansson, K.H., Jiang, Y., Dong, H., & Johansen, T.A. (2018). Survey on communication and networks for autonomous marine systems. Journal of Intelligent and Robotic Systems: Theory and Applications, 95(3-4), 789-813. https://doi.org/10.1007/s10846-018-0833-5

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