{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T20:54:29Z","timestamp":1777323269981,"version":"3.51.4"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["2014264"],"award-info":[{"award-number":["2014264"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Auton Robot"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s10514-023-10088-7","type":"journal-article","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T17:25:54Z","timestamp":1676309154000},"page":"435-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Navigation functions with moving destinations and obstacles"],"prefix":"10.1007","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6552-7239","authenticated-orcid":false,"given":"Cong","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuchu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Herbert G.","family":"Tanner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"10088_CR1","doi-asserted-by":"crossref","unstructured":"Aiushita, S., Hisanobu, T., & Kawamura, S. (1993) Fast path planning available for moving obstacle avoidance by use of laplace potential. In Proceedings of the IEEE international conference on robotics and automation (pp. 673\u2013678).","DOI":"10.1109\/IROS.1993.583188"},{"key":"10088_CR2","doi-asserted-by":"crossref","unstructured":"Ajanovic, Z., Lacevic, B., Shyrokau, B., Stolz, M., Horn, M. (2018). Search-based optimal motion planning for automated driving. In Proceedings of the IEEE\/RSJ international conference on intelligent robots and systems (pp. 4523\u20134530).","DOI":"10.1109\/IROS.2018.8593813"},{"issue":"4","key":"10088_CR3","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1007\/s10514-017-9665-6","volume":"42","author":"J Alonso-Mora","year":"2017","unstructured":"Alonso-Mora, J., DeCastro, J. A., Raman, V., Rus, D., & Kress-Gazit, H. (2017). Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles. Autonomous Robots, 42(4), 801\u2013824.","journal-title":"Autonomous Robots"},{"key":"10088_CR4","doi-asserted-by":"crossref","unstructured":"Alsaab, A., & Bicker, R. (2014) Improving velocity obstacle approach for obstacle avoidance in indoor environments. In Proceedings of the UKACC international conference on control (pp. 325\u2013330).","DOI":"10.1109\/CONTROL.2014.6915161"},{"issue":"2\u20133","key":"10088_CR5","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1177\/0278364918796267","volume":"38","author":"O Arslan","year":"2019","unstructured":"Arslan, O., & Koditschek, D. E. (2019). Sensor-based reactive navigation in unknown convex sphere worlds. The International Journal of Robotics Research, 38(2\u20133), 196\u2013223.","journal-title":"The International Journal of Robotics Research"},{"key":"10088_CR6","unstructured":"Cai, K., Wang, C., Cheng, J., De Silva, C. W., Meng, M. Q.-H. (2018) Mobile robot path planning in dynamic environments: A survey. arXiv preprint arXiv:2006.14195"},{"key":"10088_CR7","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, C., & Tanner, H. G. (2020) Navigation functions with non-point destinations and moving obstacles. In Proceedings of the IEEE American control conference (pp. 2532\u20132537).","DOI":"10.23919\/ACC45564.2020.9147243"},{"issue":"3","key":"10088_CR8","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1109\/70.678449","volume":"14","author":"PC Chen","year":"1998","unstructured":"Chen, P. C., & Hwang, Y. K. (1998). SANDROS: A dynamic graph search algorithm for motion planning. IEEE Transactions on Robotics and Automation, 14(3), 390\u2013403.","journal-title":"IEEE Transactions on Robotics and Automation"},{"issue":"4","key":"10088_CR9","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1177\/027836499701600404","volume":"16","author":"C Connolly","year":"1997","unstructured":"Connolly, C. (1997). Harmonic functions and collision probabilities. The International Journal of Robotics Research, 16(4), 497\u2013507.","journal-title":"The International Journal of Robotics Research"},{"key":"10088_CR10","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/ACCESS.2014.2302442","volume":"2","author":"M Elbanhawi","year":"2014","unstructured":"Elbanhawi, M., & Simic, M. (2014). Sampling-based robot motion planning: A review. IEEE Access, 2, 56\u201377.","journal-title":"IEEE Access"},{"key":"10088_CR11","doi-asserted-by":"crossref","unstructured":"Faust, A., Oslund, K., Ramirez, O., Francis, A., Tapia, L., Fiser, M., Davidson, J. (2018). PRM-RL: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning. In Proceedings of the IEEE international conference on robotics and automation (pp. 5113\u20135120)","DOI":"10.1109\/ICRA.2018.8461096"},{"issue":"2","key":"10088_CR12","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1002\/rob.20109","volume":"23","author":"D Ferguson","year":"2006","unstructured":"Ferguson, D., & Stentz, A. (2006). Using interpolation to improve path planning: The field D* algorithm. Journal of Field Robotics, 23(2), 79\u2013101.","journal-title":"Journal of Field Robotics"},{"key":"10088_CR13","doi-asserted-by":"crossref","unstructured":"Fernandes, L. C., Souza, J. R., Shinzato, P. Y., Pessin, G., Mendes, C. C. T., Osorio, F. S., Wolf, D. F. (2012) Intelligent robotic car for autonomous navigation: Platform and system architecture. In Proceedings of the second Brazilian conference on critical embedded systems (pp. 12\u201317).","DOI":"10.1109\/CBSEC.2012.26"},{"issue":"4","key":"10088_CR14","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1109\/TRO.2020.2975428","volume":"36","author":"A Francis","year":"2020","unstructured":"Francis, A., Faust, A., Chiang, H.-T.L., Hsu, J., Kew, J. C., Fiser, M., & Lee, T.-W.E. (2020). Long-range indoor navigation with PRM-RL. IEEE Transactions on Robotics, 36(4), 1115\u20131134.","journal-title":"IEEE Transactions on Robotics"},{"key":"10088_CR15","doi-asserted-by":"crossref","unstructured":"Fulgenzi, C., Spalanzani, A., & Laugier, C. (2009) Probabilistic rapidly-exploring random trees for autonomous navigation among moving obstacles. In Proceedings of the IEEE international conference on robotics and automation (pp. 4027\u20134033).","DOI":"10.1109\/IROS.2009.5354755"},{"issue":"4","key":"10088_CR16","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1109\/TITS.2015.2498841","volume":"17","author":"D Gonz\u00e1lez","year":"2015","unstructured":"Gonz\u00e1lez, D., P\u00e9rez, J., Milan\u00e9s, V., & Nashashibi, F. (2015). A review of motion planning techniques for automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 17(4), 1135\u20131145.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10088_CR17","doi-asserted-by":"crossref","unstructured":"Hasselt, H. v., Guez, A., Silver, D. (2016). Deep reinforcement learning with double Q-learning. In Proceedings of the thirtieth AAAI conference on artificial intelligence (pp. 2094\u20132100).","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"10088_CR18","doi-asserted-by":"crossref","unstructured":"Iizuka, S., Nakamura, T., & Suzuki, S. (2014). Robot navigation in dynamic environment using navigation function APF with SLAM. In Proceedings of the IEEE 8th Europe-Asia congress on mecatronics (pp. 89\u201392).","DOI":"10.1109\/MECATRONICS.2014.7018605"},{"key":"10088_CR19","doi-asserted-by":"crossref","unstructured":"Jaillet, L., Sim\u00e9on, T. (2004) A PRM-based motion planner for dynamically changing environments. In Proceedings of the IEEE\/RSJ international conference on intelligent robots and systems (Vol. 2, pp. 1606\u20131611).","DOI":"10.1109\/IROS.2004.1389625"},{"issue":"7","key":"10088_CR20","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1177\/0278364911406761","volume":"30","author":"S Karaman","year":"2011","unstructured":"Karaman, S., & Frazzoli, E. (2011). Sampling-based algorithms for optimal motion planning. The International Journal of Robotics Research, 30(7), 846\u2013894.","journal-title":"The International Journal of Robotics Research"},{"key":"10088_CR21","volume-title":"Nonlinear systems","author":"HK Khalil","year":"2002","unstructured":"Khalil, H. K. (2002). Nonlinear systems. Prentice Hall."},{"issue":"4","key":"10088_CR22","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/0196-8858(90)90017-S","volume":"11","author":"DE Koditschek","year":"1990","unstructured":"Koditschek, D. E., & Rimon, E. (1990). Robot navigation functions on manifolds with boundary. Advances in Applied Mathematics, 11(4), 412\u2013442.","journal-title":"Advances in Applied Mathematics"},{"issue":"1","key":"10088_CR23","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/TRO.2018.2875421","volume":"35","author":"C Li","year":"2019","unstructured":"Li, C., & Tanner, H. G. (2019). Navigation functions with time-varying destination manifolds in star worlds. IEEE Transactions on Robotics, 35(1), 35\u201348.","journal-title":"IEEE Transactions on Robotics"},{"key":"10088_CR24","doi-asserted-by":"crossref","unstructured":"Loizou, S. G., Tanner, H. G., Kumar, V., Kyriakopoulos, K. (2003) Closed loop navigation for mobile robots in dynamic environments. In Proceedings of the IEEE\/RSJ international conference on robots and systems (pp. 3769\u20133774).","DOI":"10.1109\/IROS.2003.1249741"},{"key":"10088_CR25","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/978-3-540-30301-5_36","volume-title":"Springer Handbook of Robotics","author":"J Minguez","year":"2008","unstructured":"Minguez, J., Lamiraux, F., & Laumond, J.-P. (2008). Motion planning and obstacle avoidance. In B. Siciliano & O. Khatib (Eds.), Springer Handbook of Robotics (pp. 827\u2013852). Berlin, Heidelberg: Springer."},{"key":"10088_CR26","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.robot.2017.10.011","volume":"100","author":"MG Mohanan","year":"2018","unstructured":"Mohanan, M. G., & Salgoankar, A. (2018). A survey of robotic motion planning in dynamic environments. Robotics and Autonomous Systems, 100, 171\u2013185.","journal-title":"Robotics and Autonomous Systems"},{"issue":"12","key":"10088_CR27","doi-asserted-by":"publisher","first-page":"5177","DOI":"10.1016\/j.eswa.2015.02.033","volume":"42","author":"O Montiel","year":"2015","unstructured":"Montiel, O., Orozco-Rosas, U., & Sep\u00falveda, R. (2015). Path planning for mobile robots using bacterial potential field for avoiding static and dynamic obstacles. Expert Systems with Applications, 42(12), 5177\u20135191.","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10088_CR28","first-page":"204","volume":"31","author":"VOS Olunloyo","year":"2009","unstructured":"Olunloyo, V. O. S., & Ayomoh, M. K. O. (2009). Autonomous mobile robot navigation using hybrid virtual force field concept. European Journal of Scientific Research, 31(2), 204\u2013228.","journal-title":"European Journal of Scientific Research"},{"issue":"3","key":"10088_CR29","doi-asserted-by":"publisher","first-page":"96","DOI":"10.15406\/iratj.2017.02.00023","volume":"2","author":"A Pandey","year":"2017","unstructured":"Pandey, A., Pandey, S., & Parhi, D. R. (2017). Mobile robot navigation and obstacle avoidance techniques: A review. International Robotics & Automation Journal, 2(3), 96\u2013105.","journal-title":"International Robotics & Automation Journal"},{"issue":"9","key":"10088_CR30","doi-asserted-by":"publisher","first-page":"2944","DOI":"10.1109\/TAC.2017.2775046","volume":"63","author":"S Paternain","year":"2018","unstructured":"Paternain, S., Koditschek, D. E., & Ribeiro, A. (2018). Navigation functions for convex potentials in a space with convex obstacles. IEEE Transactions on Automatic Control, 63(9), 2944\u20132959.","journal-title":"IEEE Transactions on Automatic Control"},{"key":"10088_CR31","doi-asserted-by":"crossref","unstructured":"Pradhan, N., Burg, T., & Birchfield, S. (2011). Robot crowd navigation using predictive position fields in the potential function framework. In Proceedings of American control conference (pp. 4628\u20134633).","DOI":"10.1109\/ACC.2011.5991384"},{"issue":"1","key":"10088_CR32","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/100.924358","volume":"8","author":"E Prassler","year":"2001","unstructured":"Prassler, E., Scholz, J., & Fiorini, P. (2001). A robotics wheelchair for crowded public environment. IEEE Robotics & Automation Magazine, 8(1), 38\u201345.","journal-title":"IEEE Robotics & Automation Magazine"},{"issue":"8","key":"10088_CR33","first-page":"7244","volume":"68","author":"J Qi","year":"2021","unstructured":"Qi, J., Yang, H., & Sun, H. (2021). MOD-RRT*: A sampling-based algorithm for robot path planning in dynamic environment. IEEE Transactions on Robotics, 68(8), 7244\u20137251.","journal-title":"IEEE Transactions on Robotics"},{"issue":"5","key":"10088_CR34","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/70.163777","volume":"8","author":"E Rimon","year":"1992","unstructured":"Rimon, E., & Koditschek, D. E. (1992). Exact robot navigation using artificial potential functions. Transactions on Robotics and Automation, 8(5), 501\u2013518.","journal-title":"Transactions on Robotics and Automation"},{"key":"10088_CR35","doi-asserted-by":"crossref","unstructured":"Short, A., Pan, Z., Larkin, N., & van Duin, S. (2016) Recent progress on sampling based dynamic motion planning algorithms. In Proceedings of the IEEE international conference on advanced intelligent mechatronics (pp. 1305\u20131311).","DOI":"10.1109\/AIM.2016.7576950"},{"key":"10088_CR36","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1002\/9781119213154.ch4","volume-title":"Autonomous mobile robots and multi-robot systems","author":"N Shvalb","year":"2019","unstructured":"Shvalb, N., & Hacohen, S. (2019). Motion in potential field and navigation function. In E. Kagan, N. Shvalb, & I. Ben-Gal (Eds.), Autonomous mobile robots and multi-robot systems (pp. 87\u2013107). John Wiley & Sons."},{"issue":"4","key":"10088_CR37","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/s10514-015-9468-6","volume":"39","author":"J Sun","year":"2015","unstructured":"Sun, J., & Tanner, H. G. (2015). Constrained decision-making for low-count radiation detection by mobile sensors. Autonomous Robots, 39(4), 519\u2013536.","journal-title":"Autonomous Robots"},{"issue":"3","key":"10088_CR38","first-page":"497","volume":"5","author":"P Szulczy\u0144ski","year":"2011","unstructured":"Szulczy\u0144ski, P., Pazderski, D., & Koz\u0142owski, K. (2011). Harmonic functions and collision probabilities. Journal of Automation Mobile Robotics and Intelligent Systems, 5(3), 497\u2013507.","journal-title":"Journal of Automation Mobile Robotics and Intelligent Systems"},{"key":"10088_CR39","doi-asserted-by":"crossref","unstructured":"Tanner, H. G., & Kyriakopoulos, K. J. (2000). Nonholonomic motion planning for mobile manipulators. In Proceedings of the IEEE international conference on robotics and automation (Vol. 2, pp. 1233\u20131238).","DOI":"10.1109\/ROBOT.2000.844767"},{"key":"10088_CR40","unstructured":"Tanner, H. G., Jadbabaie, A., & Pappas, G. J. (2003). Stable flocking of mobile agents, Part I: Fixed topology. In Proceedings of the IEEE conference on decision and control (pp. 2010\u20132015)."},{"key":"10088_CR41","first-page":"229","volume-title":"Cooperative control. Lecture notes in control and information sciences","author":"HG Tanner","year":"2005","unstructured":"Tanner, H. G., Jadbabaie, A., & Pappas, G. J. (2005). Flocking in teams of nonholonomic agents. In S. Morse, N. Leonard, & V. Kumar (Eds.), Cooperative control. Lecture notes in control and information sciences (pp. 229\u2013239). Springer."},{"issue":"1","key":"10088_CR42","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1109\/MRA.2020.3045069","volume":"28","author":"L Tiseni","year":"2021","unstructured":"Tiseni, L., Chiaradia, D., Gabardi, M., Solazzi, M., Leonardis, D., & Frisoli, A. (2021). UV-C mobile robots with optimized path planning: Algorithm design and on-field measurements to improve surface disinfection against SARS-CoV-2. IEEE Robotics Automation Magazine, 28(1), 59\u201370.","journal-title":"IEEE Robotics Automation Magazine"},{"key":"10088_CR43","doi-asserted-by":"crossref","unstructured":"Van Den Berg, J.P., Nieuwenhuisen, D., Jaillet, L., & Overmars, M. H. (2005). Creating robust roadmaps for motion planning in changing environments. In Proceedings of the IEEE\/RSJ international conference on intelligent robots and systems (pp. 1053\u20131059).","DOI":"10.1109\/IROS.2005.1545339"},{"issue":"3","key":"10088_CR44","doi-asserted-by":"publisher","first-page":"4455","DOI":"10.1109\/LRA.2020.3001496","volume":"5","author":"V Vasilopoulos","year":"2020","unstructured":"Vasilopoulos, V., Pavlakos, G., Bowman, S. L., Caporale, J. D., Daniilidis, K., Pappas, G. J., & Koditschek, D. E. (2020). Reactive semantic planning in unexplored semantic environments using deep perceptual feedback. IEEE Robotics and Automation Letters, 5(3), 4455\u20134462.","journal-title":"IEEE Robotics and Automation Letters"},{"issue":"4","key":"10088_CR45","doi-asserted-by":"publisher","first-page":"2063","DOI":"10.1109\/TASE.2020.2987397","volume":"17","author":"J Wang","year":"2020","unstructured":"Wang, J., Meng, M.Q.-H., & Khatib, O. (2020). EB-RRT: Optimal motion planning for mobile robots. IEEE Transactions on Automation Science and Engineering, 17(4), 2063\u20132073.","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"10088_CR46","doi-asserted-by":"crossref","unstructured":"Warnke, J., Shamsah, A., Li, Y., Zhao, Y. (2020). Towards safe locomotion navigation in partially observable environments with uneven terrain. In Proceedings of IEEE conference on decision and control (pp. 958\u2013965).","DOI":"10.1109\/CDC42340.2020.9304219"},{"key":"10088_CR47","doi-asserted-by":"crossref","unstructured":"Waydo, S., & Murray, R. M. (2003) Vehicle motion planning using stream functions. In Proceedings of the IEEE international conference on robotics and automation (pp. 2484\u20132491).","DOI":"10.21236\/ADA464756"},{"key":"10088_CR48","unstructured":"Wijmans, E., Kadian, A., Morcos, A., Lee, S., Essa, I., Parikh, D., Savva, M., Batra, D. (2019). DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames. arXiv preprint arxiv:1911.00357"},{"key":"10088_CR49","doi-asserted-by":"crossref","unstructured":"Xu, D., Fang, Y., Zhang, Z., Meng, Y. (2017). Path planning method combining depth learning and Sarsa algorithm. In Proceedings of the international symposium on computational intelligence and design (Vol. 2, pp. 77\u201382).","DOI":"10.1109\/ISCID.2017.145"},{"key":"10088_CR50","unstructured":"Yadav, I., Eckenhoff, K., Huang, G., Tanner, H.G. (2018). Visual-inertial target tracking and motion planning for UAV-based radiation detection. arXiv preprint arXiv:1805.09061"},{"key":"10088_CR51","doi-asserted-by":"crossref","unstructured":"Yadav, I., Tanner, H. G. (2021) Exact decentralized receding horizon planning for multiple aerial vehicles. In Proceedings of the IEEE conference on decision and control (pp. 5747\u20135752).","DOI":"10.1109\/ICUAS51884.2021.9476806"},{"key":"10088_CR52","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.ast.2015.09.037","volume":"47","author":"P Yao","year":"2015","unstructured":"Yao, P., Wang, H., & Su, Z. (2015). Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment. Aerospace Science and Technology, 47, 269\u2013279.","journal-title":"Aerospace Science and Technology"},{"key":"10088_CR53","doi-asserted-by":"crossref","unstructured":"Zucker, M., Kuffner, J., & Branicky, M. (2007). Multipartite RRTs for rapid replanning in dynamic environments. In Proceedings of the IEEE international conference on robotics and automation (pp. 1603\u20131609).","DOI":"10.1109\/ROBOT.2007.363553"}],"container-title":["Autonomous Robots"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-023-10088-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10514-023-10088-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-023-10088-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T03:03:33Z","timestamp":1728875013000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10514-023-10088-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,12]]},"references-count":53,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["10088"],"URL":"https:\/\/doi.org\/10.1007\/s10514-023-10088-7","relation":{},"ISSN":["0929-5593","1573-7527"],"issn-type":[{"value":"0929-5593","type":"print"},{"value":"1573-7527","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,12]]},"assertion":[{"value":"30 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We certify that there is no actual or potential conflict of interest in relation to this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}