{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T12:52:11Z","timestamp":1769518331133,"version":"3.49.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People\u2019s Republic of China","doi-asserted-by":"publisher","award":["2019YFE0112400"],"award-info":[{"award-number":["2019YFE0112400"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018627","name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China","doi-asserted-by":"publisher","award":["2021CXGC011204"],"award-info":[{"award-number":["2021CXGC011204"]}],"id":[{"id":"10.13039\/501100018627","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper studies the synchronization and control of chaotic systems while proposing a novel chaotic-based path-tracking application for mobile robots (MRs) to ensure their safety and security. In security-based applications that use MRs, such as patrol MRs, the path of the MRs must be complex enough to prevent easy prediction. Multiple chaotic systems with a chaotic switching mechanism are introduced for secure path planning. The main challenges are that the dynamics of MRs are entirely unknown. The modeled dynamics of the MRs are unreliable in practice due to a broad range of uncertainties related to the parameters, operating conditions, environmental impacts, time delays, unmodeled frictions, noisy sensors, and faulty actuators. Also, the chaotic switching of reference signals between chaotic signals imposes a high dynamic perturbation. The main novelties are as follows: (1) a strong secure path is introduced for MRs. (2) A powerful fractional-order predictive controller using type-3 (T3) fuzzy-logic systems (FLSs) is developed. (3) The estimation and prediction errors of T3-FLSs are compensated by a designed parallel compensator. (4) T3-FLSs are tuned online, such that stability is ensured, and prediction accuracy is guaranteed. (5) The suggested scheme is implemented on a real-world MR, and the results demonstrate the feasibility and accuracy of the proposed method. Also, in several simulations, the efficacy of the introduced controller is examined.<\/jats:p>","DOI":"10.1007\/s40747-023-01248-4","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T08:03:29Z","timestamp":1697702609000},"page":"1997-2012","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A strong secure path planning\/following system based on type-3 fuzzy control, multi-switching chaotic systems, and random switching topology"],"prefix":"10.1007","volume":"10","author":[{"given":"Man-Wen","family":"Tian","sequence":"first","affiliation":[]},{"given":"Khalid A.","family":"Alattas","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Hamid","family":"Taghavifar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5173-4563","authenticated-orcid":false,"given":"Ardashir","family":"Mohammadzadeh","sequence":"additional","affiliation":[]},{"given":"Wenjun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chunwei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,19]]},"reference":[{"key":"1248_CR1","doi-asserted-by":"crossref","unstructured":"Lu C, Gao R, Yin L, Zhang B (2023) Human-robot collaborative scheduling in energy-efficient welding shop. IEEE Trans Indust Inform","DOI":"10.1109\/TII.2023.3271749"},{"issue":"4","key":"1248_CR2","doi-asserted-by":"publisher","first-page":"825","DOI":"10.3390\/sym14040825","volume":"14","author":"J Wang","year":"2022","unstructured":"Wang J, Liang F, Zhou H, Yang M, Wang Q (2022) Analysis of position, pose and force decoupling characteristics of a 4-ups\/1-rps parallel grinding robot. Symmetry 14(4):825","journal-title":"Symmetry"},{"key":"1248_CR3","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2022.877069","volume":"16","author":"J Wang","year":"2022","unstructured":"Wang J, Tian J, Zhang X, Yang B, Liu S, Yin L, Zheng W (2022) Control of time delay force feedback teleoperation system with finite time convergence. Front Neurorobot 16:877069","journal-title":"Front Neurorobot"},{"issue":"6","key":"1248_CR4","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1109\/TMECH.2010.2083680","volume":"16","author":"L Cheng","year":"2010","unstructured":"Cheng L, Lin Y, Hou Z-G, Tan M, Huang J, Zhang W (2010) Adaptive tracking control of hybrid machines: a closed-chain five-bar mechanism case. IEEE\/ASME Trans Mechatron 16(6):1155\u20131163","journal-title":"IEEE\/ASME Trans Mechatron"},{"issue":"5","key":"1248_CR5","doi-asserted-by":"publisher","first-page":"3082","DOI":"10.3390\/app13053082","volume":"13","author":"M Liu","year":"2023","unstructured":"Liu M, Gu Q, Yang B, Yin Z, Liu S, Yin L, Zheng W (2023) Kinematics model optimization algorithm for six degrees of freedom parallel platform. Appl Sci 13(5):3082","journal-title":"Appl Sci"},{"issue":"3","key":"1248_CR6","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1002\/(SICI)1097-4563(199703)14:3<149::AID-ROB1>3.0.CO;2-R","volume":"14","author":"R Fierro","year":"1997","unstructured":"Fierro R, Lewis FL (1997) Control of a nonholomic mobile robot: Backstepping kinematics into dynamics. J Robot Syst 14(3):149\u2013163","journal-title":"J Robot Syst"},{"key":"1248_CR7","volume":"435","author":"Q Sun","year":"2022","unstructured":"Sun Q, Ren J, Zhao F (2022) Sliding mode control of discrete-time interval type-2 fuzzy markov jump systems with the preview target signal. Appl Math Comput 435:127479","journal-title":"Appl Math Comput"},{"key":"1248_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.6631","author":"B Wang","year":"2023","unstructured":"Wang B, Shen Y, Li N, Zhang Y, Gao Z (2023) An adaptive sliding mode fault-tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties. Int J Robust and Nonlinear Control. https:\/\/doi.org\/10.1002\/rnc.6631","journal-title":"Int J Robust and Nonlinear Control"},{"issue":"4","key":"1248_CR9","doi-asserted-by":"publisher","first-page":"2262","DOI":"10.1109\/TSMC.2020.3048733","volume":"52","author":"D Yu","year":"2021","unstructured":"Yu D, Chen CP, Xu H (2021) Fuzzy swarm control based on sliding-mode strategy with self-organized omnidirectional mobile robots system. IEEE Trans Syst Man Cybernet Syst 52(4):2262\u20132274","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"key":"1248_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2021.104865","volume":"114","author":"S AlI ssa","year":"2021","unstructured":"AlI ssa S, Kar I (2021) Design and implementation of event-triggered adaptive controller for commercial mobile robots subject to input delays and limited communications. Control Eng Pract 114:104865","journal-title":"Control Eng Pract"},{"key":"1248_CR11","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.isatra.2021.01.016","volume":"115","author":"AK Khalaji","year":"2021","unstructured":"Khalaji AK, Jalalnezhad M (2021) Robust forward$$\\backslash $$backward control of wheeled mobile robots. ISA Trans 115:32\u201345","journal-title":"ISA Trans"},{"issue":"10","key":"1248_CR12","doi-asserted-by":"publisher","first-page":"18951","DOI":"10.1109\/TITS.2022.3189201","volume":"23","author":"X Shao","year":"2022","unstructured":"Shao X, Zhang J, Zhang W (2022) Distributed cooperative surrounding control for mobile robots with uncertainties and aperiodic sampling. IEEE Trans Intell Transp Syst 23(10):18951\u201318961","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"11","key":"1248_CR13","doi-asserted-by":"publisher","first-page":"5762","DOI":"10.1109\/TAC.2021.3124750","volume":"67","author":"B Li","year":"2021","unstructured":"Li B, Tan Y, Wu A-G, Duan G-R (2021) A distributionally robust optimization based method for stochastic model predictive control. IEEE Trans Automat Control 67(11):5762\u20135776","journal-title":"IEEE Trans Automat Control"},{"issue":"1","key":"1248_CR14","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.mechatronics.2005.08.002","volume":"16","author":"P Ouyang","year":"2006","unstructured":"Ouyang P, Zhang W, Gupta MM (2006) An adaptive switching learning control method for trajectory tracking of robot manipulators. Mechatronics 16(1):51\u201361","journal-title":"Mechatronics"},{"issue":"3","key":"1248_CR15","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1109\/TMECH.2012.2183378","volume":"17","author":"L Cheng","year":"2012","unstructured":"Cheng L, Lin Y, Hou Z-G, Tan M, Huang J, Zhang W (2012) Integrated design of machine body and control algorithm for improving the robustness of a closed-chain five-bar machine. IEEE\/ASME Trans Mechatron 17(3):587\u2013591","journal-title":"IEEE\/ASME Trans Mechatron"},{"issue":"6","key":"1248_CR16","doi-asserted-by":"publisher","first-page":"1564","DOI":"10.1109\/TFUZZ.2022.3157075","volume":"30","author":"H Su","year":"2022","unstructured":"Su H, Qi W, Chen J, Zhang D (2022) Fuzzy approximation-based task-space control of robot manipulators with remote center of motion constraint. IEEE Trans Fuzzy Syst 30(6):1564\u20131573","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1248_CR17","doi-asserted-by":"crossref","unstructured":"Khanesar MA, Branson D (2022) Robust sliding mode fuzzy control of industrial robots using an extended kalman filter inverse kinematic solver. Energies 15(5):1876","DOI":"10.3390\/en15051876"},{"issue":"2","key":"1248_CR18","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1016\/j.jfranklin.2021.12.011","volume":"359","author":"AJ Mu\u00f1oz-V\u00e1zquez","year":"2022","unstructured":"Mu\u00f1oz-V\u00e1zquez AJ, Treesatayapun C (2022) Model-free discrete-time fractional fuzzy control of robotic manipulators. J Frank Inst 359(2):952\u2013966","journal-title":"J Frank Inst"},{"key":"1248_CR19","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.isatra.2021.03.035","volume":"121","author":"X Wu","year":"2022","unstructured":"Wu X, Huang Y (2022) Adaptive fractional-order non-singular terminal sliding mode control based on fuzzy wavelet neural networks for omnidirectional mobile robot manipulator. ISA Trans 121:258\u2013267","journal-title":"ISA Trans"},{"key":"1248_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108165","volume":"163","author":"S Zaare","year":"2022","unstructured":"Zaare S, Soltanpour MR (2022) Adaptive fuzzy global coupled nonsingular fast terminal sliding mode control of n-rigid-link elastic-joint robot manipulators in presence of uncertainties. Mech Syst Signal Process 163:108165","journal-title":"Mech Syst Signal Process"},{"key":"1248_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.110795","volume":"248","author":"S Ding","year":"2022","unstructured":"Ding S, Zhao T, Gao F, Tang Z, Jin B (2022) Research on a motion-inhibition fuzzy control method for moored ship with multi-robot system. Ocean Eng 248:110795","journal-title":"Ocean Eng"},{"issue":"4","key":"1248_CR22","doi-asserted-by":"publisher","first-page":"2019","DOI":"10.1007\/s12206-022-0337-x","volume":"36","author":"G Cao","year":"2022","unstructured":"Cao G, Zhao X, Ye C, Yu S, Li B, Jiang C (2022) Fuzzy adaptive pid control method for multi-mecanum-wheeled mobile robot. J Mech Sci Technol 36(4):2019\u20132029","journal-title":"J Mech Sci Technol"},{"key":"1248_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108044","volume":"101","author":"DK Mishra","year":"2022","unstructured":"Mishra DK, Thomas A, Kuruvilla J, Kalyanasundaram P, Prasad KR, Haldorai A (2022) Design of mobile robot navigation controller using neuro-fuzzy logic system. Comput Elect Eng 101:108044","journal-title":"Comput Elect Eng"},{"key":"1248_CR24","doi-asserted-by":"crossref","unstructured":"Kuz\u2019Menko A (2019) Synthesis of the sliding mode control law of synchronization of chaotic systems basing on sequential aggregate of invariant manifolds, In: III International Conference on Control in Technical Systems (CTS), IEEE, 2019, pp. 60\u201363","DOI":"10.1109\/CTS48763.2019.8973371"},{"issue":"5","key":"1248_CR25","doi-asserted-by":"publisher","first-page":"2587","DOI":"10.3390\/app12052587","volume":"12","author":"JJ Cetina-Denis","year":"2022","unstructured":"Cetina-Denis JJ, Lop\u00e9z-Guti\u00e9rrez RM, Cruz-Hern\u00e1ndez C, Arellano-Delgado A (2022) Design of a chaotic trajectory generator algorithm for mobile robots. Appl Sci 12(5):2587","journal-title":"Appl Sci"},{"issue":"1","key":"1248_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSIR.313664","volume":"13","author":"Y Li","year":"2022","unstructured":"Li Y, Huang Y, Ge L, Li X (2022) Mobile robot path planning based on angle-guided ant colony algorithm. Int J Swarm Intell Res 13(1):1\u201319","journal-title":"Int J Swarm Intell Res"},{"issue":"17","key":"1248_CR27","doi-asserted-by":"publisher","first-page":"3186","DOI":"10.3390\/math10173186","volume":"10","author":"G Hua","year":"2022","unstructured":"Hua G, Wang F, Zhang J, Alattas KA, Mohammadzadeh A, The VuM (2022) A new type-3 fuzzy predictive approach for mobile robots. Mathematics 10(17):3186","journal-title":"Mathematics"},{"key":"1248_CR28","doi-asserted-by":"crossref","unstructured":"Petavratzis E, Volos C, Ouannas A, Nistazakis H, Valavanis K, Stouboulos I (2021) A 2d discrete chaotic memristive map and its application in robot\u2019s path planning, in: 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), IEEE, pp. 1\u20134","DOI":"10.1109\/MOCAST52088.2021.9493389"},{"key":"1248_CR29","doi-asserted-by":"crossref","unstructured":"Walid M, Elnaggar MM, Sayed WS, Said LA, Radwan AG (2021) A comparative study of different chaotic systems in path planning for surveillance applications, In: 2021 International Conference on Microelectronics (ICM), IEEE, pp. 25\u201328","DOI":"10.1109\/ICM52667.2021.9664903"},{"key":"1248_CR30","first-page":"2575","volume":"2021","author":"X Zhang","year":"2021","unstructured":"Zhang X, Yuan Z, Xu S, Lu Y, Zhu M (2021) Secure perception-driven control of mobile robots using chaotic encryption, in, American Control Conference (ACC). IEEE 2021:2575\u20132580","journal-title":"IEEE"},{"key":"1248_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.103826","volume":"143","author":"E Petavratzis","year":"2021","unstructured":"Petavratzis E, Moysis L, Volos C, Stouboulos I, Nistazakis H, Valavanis K (2021) A chaotic path planning generator enhanced by a memory technique. Robot Auton Syst 143:103826","journal-title":"Robot Auton Syst"},{"key":"1248_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2020.105543","volume":"94","author":"VL Freitas","year":"2021","unstructured":"Freitas VL, Yanchuk S, Zaks M, Macau EE (2021) Synchronization-based symmetric circular formations of mobile agents and the generation of chaotic trajectories. Commun Nonlinear Sci Numer Simul 94:105543","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"3","key":"1248_CR33","first-page":"565","volume":"14","author":"O Wahhab","year":"2021","unstructured":"Wahhab O, Araji A (2021) Path planning and control strategy design for mobile robot based on hybrid swarm optimization algorithm. Int J Intell Eng Syst 14(3):565\u2013579","journal-title":"Int J Intell Eng Syst"},{"issue":"8","key":"1248_CR34","doi-asserted-by":"publisher","first-page":"410","DOI":"10.3390\/axioms11080410","volume":"11","author":"P Melin","year":"2022","unstructured":"Melin P, S\u00e1nchez D, Castro JR, Castillo O (2022) Design of type-3 fuzzy systems and ensemble neural networks for covid-19 time series prediction using a firefly algorithm. Axioms 11(8):410","journal-title":"Axioms"},{"key":"1248_CR35","doi-asserted-by":"crossref","unstructured":"Castillo O, Castro JR, Melin P (2022) Interval type-3 fuzzy fractal approach in sound speaker quality control evaluation. Eng Appl Artif Intell 116:105363","DOI":"10.1016\/j.engappai.2022.105363"},{"key":"1248_CR36","doi-asserted-by":"crossref","unstructured":"Tian M-W, Bouteraa Y, Alattas KA, Yan S-R, Alanazi AK, Mohammadzadeh A, Mobayen S (2022) A type-3 fuzzy approach for stabilization and synchronization of chaotic systems: Applicable for financial and physical chaotic systems. Complexity 2022","DOI":"10.1155\/2022\/8437910"},{"issue":"9","key":"1248_CR37","doi-asserted-by":"publisher","first-page":"1490","DOI":"10.3390\/mi13091490","volume":"13","author":"L Amador-Angulo","year":"2022","unstructured":"Amador-Angulo L, Castillo O, Melin P, Castro JR (2022) Interval type-3 fuzzy adaptation of the bee colony optimization algorithm for optimal fuzzy control of an autonomous mobile robot. Micromachines 13(9):1490","journal-title":"Micromachines"},{"key":"1248_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.113014","volume":"266","author":"A Taghieh","year":"2022","unstructured":"Taghieh A, Zhang C, Alattas KA, Bouteraa Y, Rathinasamy S, Mohammadzadeh A (2022) A predictive type-3 fuzzy control for underactuated surface vehicles. Ocean Eng 266:113014","journal-title":"Ocean Eng"},{"key":"1248_CR39","doi-asserted-by":"crossref","unstructured":"Qasem SN, Ahmadian A, Mohammadzadeh A, Rathinasamy S, Pahlevanzadeh B (2021) A type-3 logic fuzzy system: Optimized by a correntropy based kalman filter with adaptive fuzzy kernel size. Inform Sci 572:424\u2013443","DOI":"10.1016\/j.ins.2021.05.031"},{"issue":"4","key":"1248_CR40","doi-asserted-by":"publisher","first-page":"2450","DOI":"10.1109\/TSMC.2021.3050183","volume":"52","author":"D Li","year":"2021","unstructured":"Li D, Yu H, Tee KP, Wu Y, Ge SS, Lee TH (2021) On time-synchronized stability and control. IEEE Trans Syst Man Cybernet Syst 52(4):2450\u20132463","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"key":"1248_CR41","doi-asserted-by":"crossref","unstructured":"Mohammadzadeh A, Kumbasar T (2020) A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation. Appl Soft Comput 106241","DOI":"10.1016\/j.asoc.2020.106241"},{"key":"1248_CR42","doi-asserted-by":"crossref","unstructured":"Dao PN, Nguyen HQ, Nguyen TL, Mai XS (2021) Finite horizon robust nonlinear model predictive control for wheeled mobile robots. Math Prob Eng","DOI":"10.1155\/2021\/6611992"},{"issue":"4","key":"1248_CR43","doi-asserted-by":"publisher","first-page":"22","DOI":"10.3390\/robotics6040022","volume":"6","author":"T Zhang","year":"2017","unstructured":"Zhang T, Zhang W, Gupta MM (2017) Resilient robots: Concept, review, and future directions. Robotics 6(4):22","journal-title":"Robotics"},{"key":"1248_CR44","doi-asserted-by":"publisher","first-page":"2885","DOI":"10.1109\/ACCESS.2019.2962058","volume":"8","author":"F Wang","year":"2019","unstructured":"Wang F, Qian Z, Yan Z, Yuan C, Zhang W (2019) A novel resilient robot: Kinematic analysis and experimentation. IEEE Access 8:2885\u20132892","journal-title":"IEEE Access"},{"issue":"1","key":"1248_CR45","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1109\/MITS.2022.3162901","volume":"15","author":"Z Xu","year":"2022","unstructured":"Xu Z, Lv Z, Li J, Sun H, Sheng Z (2022) A novel perspective on travel demand prediction considering natural environmental and socioeconomic factors. IEEE Intell Trans Syst Magazine 15(1):136\u2013159","journal-title":"IEEE Intell Trans Syst Magazine"},{"key":"1248_CR46","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/s13198-021-01467-3","volume":"13","author":"M Chen","year":"2022","unstructured":"Chen M, Sharma A, Bhola J, Nguyen TV, Truong CV (2022) Multi-agent task planning and resource apportionment in a smart grid. Int J Syst Assurance Eng Manag 13:444\u2013455. https:\/\/doi.org\/10.1007\/s13198-021-01467-3","journal-title":"Int J Syst Assurance Eng Manag"},{"key":"1248_CR47","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1007\/s00542-020-05132-w","volume":"27","author":"TV Nguyen","year":"2021","unstructured":"Nguyen TV, Huynh N-T, Vu N-C, Kieu VN, Huang S-C (2021) Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: Fuzzy logic and ANFIS. Microsyst Technol 27:3389\u20133412. https:\/\/doi.org\/10.1007\/s00542-020-05132-w","journal-title":"Microsyst Technol"}],"container-title":["Complex &amp; Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-023-01248-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-023-01248-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-023-01248-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,30]],"date-time":"2024-03-30T15:22:32Z","timestamp":1711812152000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-023-01248-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,19]]},"references-count":47,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["1248"],"URL":"https:\/\/doi.org\/10.1007\/s40747-023-01248-4","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,19]]},"assertion":[{"value":"20 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 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":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}