{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:15:28Z","timestamp":1782404128981,"version":"3.54.5"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62203064"],"award-info":[{"award-number":["62203064"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s10489-024-05932-x","type":"journal-article","created":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T20:52:09Z","timestamp":1733950329000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay"],"prefix":"10.1007","volume":"55","author":[{"given":"Boyan","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid Reza","family":"Karimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xudong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,11]]},"reference":[{"issue":"8","key":"5932_CR1","doi-asserted-by":"publisher","first-page":"2734","DOI":"10.1109\/TFUZZ.2023.3235431","volume":"31","author":"X Yuan","year":"2023","unstructured":"Yuan X, Yang B, Zhao XD (2023) Observer-based fuzzy adaptive tracking control of nonlinear strict-feedback systems via a unique event triggering approach. IEEE Trans Fuzzy Syst 31(8):2734\u20132746","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"8","key":"5932_CR2","doi-asserted-by":"publisher","first-page":"5116","DOI":"10.1109\/TSMC.2023.3257170","volume":"53","author":"P Wan","year":"2023","unstructured":"Wan P, Zeng ZG (2023) Adaptive tracking control of state-constrained strict-feedback nonlinear systems using direct method. IEEE Trans. Syst. Man Cybern. Syst. 53(8):5116\u20135126","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"5932_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2024.108144","volume":"137","author":"YB Li","year":"2024","unstructured":"Li YB, Wang DS, Tang LK (2024) Adaptive fuzzy asymptotic predefined-time tracking control of uncertain nonlinear systems based on event-trigger. Commun. Nonlinear Sci. 137:108144. https:\/\/doi.org\/10.1016\/j.cnsns.2024.108144","journal-title":"Commun. Nonlinear Sci."},{"issue":"12","key":"5932_CR4","doi-asserted-by":"publisher","first-page":"862","DOI":"10.3390\/fractalfract7120862","volume":"7","author":"K Sun","year":"2023","unstructured":"Sun K, Ma ZY, Dong GW, Gong P (2023) Adaptive fuzzy fault-tolerant control of uncertain fractional-order nonlinear systems with sensor and actuator faults. Fractal and Fractional. 7(12):862. https:\/\/doi.org\/10.3390\/fractalfract7120862","journal-title":"Fractal and Fractional."},{"issue":"1","key":"5932_CR5","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1002\/asjc.2465","volume":"24","author":"ZR Gao","year":"2020","unstructured":"Gao ZR, Wang ZY, Wu XJ, Wang WC, Liu YL (2020) Finite-time stability analysis of a class of discrete-time switched nonlinear systems with partial finite-time unstable modes. Asian J. Control. 24(1):309\u2013319","journal-title":"Asian J. Control."},{"issue":"6","key":"5932_CR6","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1002\/oca.2916","volume":"43","author":"JG Zhao","year":"2022","unstructured":"Zhao JG, Chen FF (2022) Off-policy integral reinforcement learning-based optimal tracking control for a class of nonzero-sum game systems with unknown dynamics. Optim. Contr. Appl. Met. 43(6):1623\u20131644","journal-title":"Optim. Contr. Appl. Met."},{"issue":"4","key":"5932_CR7","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1007\/s12555-022-0223-4","volume":"21","author":"JG Zhao","year":"2023","unstructured":"Zhao JG (2023) Adaptive dynamic programming-based adaptive optimal tracking control of a class of strict-feedback nonlinear system. Int J Control Autom Syst 21(4):1349\u20131360","journal-title":"Int J Control Autom Syst"},{"key":"5932_CR8","doi-asserted-by":"crossref","unstructured":"Wei W, Min W (2024) Adaptive neural event-triggered output-feedback opti-mal tracking control for discrete-time pure-feedback nonlinear systems. International Journal of Network Dynamics and Intelligence 100010","DOI":"10.53941\/ijndi.2024.100010"},{"issue":"9","key":"5932_CR9","doi-asserted-by":"publisher","first-page":"4969","DOI":"10.1109\/TII.2019.2894282","volume":"15","author":"GX Wen","year":"2019","unstructured":"Wen GX, Chen CLP, Ge SS, Yang HL, Liu XG (2019) Optimized adaptive nonlinear tracking control using actor-critic reinforcement learning strategy. IEEE Trans. Ind. Inf. 15(9):4969\u20134977","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"8","key":"5932_CR10","doi-asserted-by":"publisher","first-page":"3850","DOI":"10.1109\/TNNLS.2018.2803726","volume":"29","author":"GX Wen","year":"2018","unstructured":"Wen GX, Ge SS, Tu FW (2018) Optimized backstepping for tracking control of strict-feedback systems. IEEE Trans. Neural Netw. Learn. Syst. 29(8):3850\u20133862","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"5932_CR11","doi-asserted-by":"publisher","first-page":"2364","DOI":"10.1002\/oca.3160","volume":"45","author":"L Tang","year":"2024","unstructured":"Tang L, Zhang L, Xu N (2024) Optimized backstepping based finite-time containment control for nonlinear multi-agent systems with prescribed performance. Optim Contr Appl Met 45(5):2364\u20132382","journal-title":"Optim Contr Appl Met"},{"issue":"10","key":"5932_CR12","doi-asserted-by":"publisher","first-page":"10542","DOI":"10.1109\/TCYB.2021.3069587","volume":"52","author":"YL Li","year":"2022","unstructured":"Li YL, Fan YL, Li KW, Liu W, Tong SC (2022) Adaptive optimized backstepping control-based RL algorithm for stochastic nonlinear systems with state constraints and its application. IEEE Trans. Cybern. 52(10):10542\u201310555","journal-title":"IEEE Trans. Cybern."},{"issue":"3","key":"5932_CR13","doi-asserted-by":"publisher","first-page":"1524","DOI":"10.1109\/TNNLS.2021.3105548","volume":"PP","author":"GX Wen","year":"2021","unstructured":"Wen GX, Chen CLP (2021) Optimized backstepping consensus control using reinforcement learning for a class of nonlinear strict-feedback-dynamic multi-agent systems. IEEE Trans. Neural Netw. Learn. Syst. PP(3):1524\u20131536","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5932_CR14","doi-asserted-by":"crossref","unstructured":"Li ZJ, Song YF, Wen GX (2023) Reinforcement learning based optimized sliding-mode consensus control of high-order nonlinear canonical dynamic multiagent system. IEEE Syst J 1\u201310","DOI":"10.1109\/JSYST.2023.3280192"},{"issue":"8","key":"5932_CR15","doi-asserted-by":"publisher","first-page":"5004","DOI":"10.1109\/TSMC.2021.3112688","volume":"52","author":"GX Wen","year":"2022","unstructured":"Wen GX, Hao W, Feng WW, Gao KZ (2022) Optimized backstepping tracking control using reinforcement learning for quadrotor unmanned aerial vehicle system. IEEE Trans. Syst. Man Cybern. Syst. 52(8):5004\u20135015","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"1","key":"5932_CR16","doi-asserted-by":"publisher","first-page":"1902166","DOI":"10.1155\/2022\/1902166","volume":"2022","author":"N Maleki","year":"2022","unstructured":"Maleki N, Moradi E, Khooban MH (2022) Robust $$h_\\infty $$ control of dc motor in the presence of input delay and disturbance by the predictor-based method. Sfi. S. Sci. C. 2022(1):1902166. https:\/\/doi.org\/10.1155\/2022\/1902166","journal-title":"Sfi. S. Sci. C."},{"issue":"10","key":"5932_CR17","doi-asserted-by":"publisher","first-page":"2008","DOI":"10.1080\/00207721.2024.2328780","volume":"55","author":"XJ Wu","year":"2024","unstructured":"Wu XJ, Ding S, Xu N, Niu B, Zhao XD (2024) Periodic event-triggered bipartite containment control for nonlinear multi-agent systems with input delay. Int J Syst Sci 55(10):2008\u20132022","journal-title":"Int J Syst Sci"},{"key":"5932_CR18","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.isatra.2022.07.027","volume":"134","author":"SW Liu","year":"2023","unstructured":"Liu SW, Wang HQ, Li TS (2023) Adaptive composite dynamic surface neural control for nonlinear fractional-order systems subject to delayed input. ISA Trans 134:122\u2013133","journal-title":"ISA Trans"},{"issue":"18","key":"5932_CR19","doi-asserted-by":"publisher","first-page":"9074","DOI":"10.1002\/rnc.5747","volume":"31","author":"XN Xia","year":"2021","unstructured":"Xia XN, Zhang TP, Kang GP, Fang Y (2021) Adaptive event-triggered control of pure-feedback systems with quantized input and unknown input delay. Int. J. Robust Nonlin. 31(18):9074\u20139093","journal-title":"Int. J. Robust Nonlin."},{"issue":"2","key":"5932_CR20","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1177\/01423312221110437","volume":"45","author":"JC Zhai","year":"2023","unstructured":"Zhai JC, Wang HQ, Tao JQ, He ZW (2023) Finite time adaptive neural tracking control for non-strict-feedback uncertain non-linear systems with disturbance and input delay. Trans Inst Meas Control 45(2):374\u2013390. https:\/\/doi.org\/10.1177\/01423312221110437","journal-title":"Trans Inst Meas Control"},{"issue":"2","key":"5932_CR21","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1080\/00207721.2023.2272217","volume":"55","author":"HY Li","year":"2023","unstructured":"Li HY, Wang FL (2023) Adaptive output feedback reinforcement learning control for continuous time switched stochastic nonlinear systems with unknown control coefficients and full-state constraints. Int J Syst Sci 55(2):332\u2013354. https:\/\/doi.org\/10.1080\/00207721.2023.2272217","journal-title":"Int J Syst Sci"},{"issue":"3","key":"5932_CR22","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1109\/TFUZZ.2023.3315458","volume":"32","author":"HQ Wang","year":"2024","unstructured":"Wang HQ, Liu W, Tong M (2024) Adaptive fuzzy fast finite-time output-feedback tracking control for switched nonlinear systems with full-state constraints. IEEE Trans Fuzzy Syst 32(3):958\u2013968. https:\/\/doi.org\/10.1109\/TFUZZ.2023.3315458","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"5932_CR23","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TNNLS.2022.3186528","volume":"PP","author":"YX Zhang","year":"2022","unstructured":"Zhang YX, Liang XL, Li DY, Ge SS, Gao BZ, Chen H, Lee TH (2022) Barrier lyapunov function-based safe reinforcement learning for autonomous vehicles with optimized backstepping. IEEE Trans. Neural Netw. Learn. Syst. PP(2):2066\u20132080","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"20","key":"5932_CR24","doi-asserted-by":"publisher","first-page":"19133","DOI":"10.1007\/s11071-023-08871-3","volume":"111","author":"JF Wang","year":"2023","unstructured":"Wang JF, Zhang P, Wang Y, Ji ZC (2023) Adaptive dynamic programming-based optimal control for nonlinear state constrained systems with input delay. Nonlinear Dynam. 111(20):19133\u201319149","journal-title":"Nonlinear Dynam."},{"key":"5932_CR25","unstructured":"Zhu HY, Li YX, Tong SC (2023) Fuzzy adaptive tracking of constrained nonlinear systems with event-sampling reinforcement learning. IEEE Trans Fuzzy Syst 1\u201310"},{"key":"5932_CR26","doi-asserted-by":"crossref","unstructured":"Song XN, Sun P, Ahn CK, Song S (2024) Reinforcement learning-based event-triggered predefined-time optimal fuzzy control for nonlinear constrained systems. IEEE Trans Fuzzy Syst. 1\u201313","DOI":"10.1109\/TFUZZ.2024.3519720"},{"issue":"1","key":"5932_CR27","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1109\/TFUZZ.2023.3294928","volume":"32","author":"DD Li","year":"2024","unstructured":"Li DD, Dong JX (2024) Fuzzy weight-based reinforcement learning for event-triggered optimal backstepping control of fractional-order nonlinear systems. IEEE Trans Fuzzy Syst 32(1):214\u2013225","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"8","key":"5932_CR28","doi-asserted-by":"publisher","first-page":"2509","DOI":"10.1109\/TFUZZ.2022.3227993","volume":"31","author":"DD Li","year":"2023","unstructured":"Li DD, Dong JX (2023) Fuzzy control based on reinforcement learning and subsystem error derivatives for strict-feedback systems with an observer. IEEE Trans Fuzzy Syst 31(8):2509\u20132521","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"5932_CR29","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1109\/TSMC.2023.3320653","volume":"54","author":"DD Li","year":"2024","unstructured":"Li DD, Dong JX (2024) Approximate optimal robust tracking control based on state error and derivative without initial admissible input. IEEE Trans. Syst. Man Cybern. Syst. 54(2):1059\u20131069","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"11","key":"5932_CR30","doi-asserted-by":"publisher","first-page":"4010","DOI":"10.1109\/TFUZZ.2023.3273566","volume":"31","author":"H Zhao","year":"2023","unstructured":"Zhao H, Zong GD, Zhao XD, Wang HQ, Xu N, Zhao N (2023) Hierarchical sliding-mode surface-based adaptive critic tracking control for nonlinear multiplayer zero-sum games via generalized fuzzy hyperbolic models. IEEE Trans Fuzzy Syst 31(11):4010\u20134023","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"5932_CR31","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/j.neunet.2023.05.001","volume":"164","author":"H Zhao","year":"2023","unstructured":"Zhao H, Wang HQ, Niu B, Zhao XD, Alharbi KH (2023) Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming. Neural Netw 164:508\u2013520","journal-title":"Neural Netw"},{"issue":"6","key":"5932_CR32","doi-asserted-by":"publisher","first-page":"7520","DOI":"10.1109\/TNNLS.2022.3214681","volume":"PP","author":"L Chen","year":"2022","unstructured":"Chen L, Dai SL, Dong C (2022) Adaptive optimal tracking control of an underactuated surface vessel using actor-critic reinforcement learning. IEEE Trans. Neural Netw. Learn. Syst. PP(6):7520\u20137533","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5932_CR33","doi-asserted-by":"crossref","unstructured":"Zhao H, Wang H, Chang X, Ahmad AM, Zhao X (2024) Neural network-based adaptive critic control for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism. Inform Sci 675:120756","DOI":"10.1016\/j.ins.2024.120756"},{"key":"5932_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2023.108735","volume":"474","author":"H Zhao","year":"2024","unstructured":"Zhao H, Wang HQ, Niu B, Zhao XD, Xu N (2024) Adaptive fuzzy decentralized optimal control for interconnected nonlinear systems with unmodeled dynamics via mixed data and event driven method. Fuzzy Set Syst 474:108735","journal-title":"Fuzzy Set Syst"},{"issue":"1","key":"5932_CR35","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1109\/JSYST.2024.3350771","volume":"18","author":"SH Liu","year":"2024","unstructured":"Liu SH, Niu B, Xu N, Zhao XD (2024) Zero-sum game-based decentralized optimal control for saturated nonlinear interconnected systems via a data and event driven approach. IEEE Syst J 18(1):758\u2013769","journal-title":"IEEE Syst J"},{"issue":"4","key":"5932_CR36","doi-asserted-by":"publisher","first-page":"2390","DOI":"10.1109\/TFUZZ.2024.3351993","volume":"32","author":"JX Zhang","year":"2024","unstructured":"Zhang JX, Fu Y, Fu J (2024) Optimal formation control of second-order heterogeneous multiagent systems using adaptive predefined-time strategy. IEEE Trans Fuzzy Syst 32(4):2390\u20132402","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"5932_CR37","doi-asserted-by":"crossref","unstructured":"Wang T, Zong G, Zhao X, Xu N (2024) Data-driven-based sliding-mode dynamic event-triggered control of unknown nonlinear systems via reinforcement learning. Neurocomputing 601:128176","DOI":"10.1016\/j.neucom.2024.128176"},{"key":"5932_CR38","doi-asserted-by":"publisher","unstructured":"Zhu B, Zhang L, Niu B, Zhao N (2024) Adaptive reinforcement learning for fault-tolerant optimal consensus control of nonlinear canonical multiagent systems with actuator loss of effectiveness. IEEE Syst J, https:\/\/doi.org\/10.1109\/JSYST.2024.3433023","DOI":"10.1109\/JSYST.2024.3433023"},{"key":"5932_CR39","doi-asserted-by":"crossref","unstructured":"Huang S, Zong GD, Niu B, Xu N, Zhao XD (2024) Dynamic self-triggered fuzzy bipartite time-varying formation tracking for nonlinear multiagent systems with deferred asymmetric output constraints. IEEE Trans Fuzzy Syst 32(5):2700\u20132712","DOI":"10.1109\/TFUZZ.2024.3357083"},{"key":"5932_CR40","doi-asserted-by":"crossref","unstructured":"Wu X, Ding S, Wang H, Xu N, Zhao X, Wang W (2025) Dual-channel event-triggered prescribed performance adaptive fuzzy time-varying formation tracking control for nonlinear multi-agent systems. Fuzzy Sets Syst 498:109140","DOI":"10.1016\/j.fss.2024.109140"},{"key":"5932_CR41","doi-asserted-by":"crossref","unstructured":"Zhu B, Liang H, Niu B, Wang H, Zhao N, Zhao X (2025) Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism. Inform Sci 689:121350","DOI":"10.1016\/j.ins.2024.121350"},{"issue":"1","key":"5932_CR42","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1177\/01423312231169561","volume":"46","author":"XY Zheng","year":"2023","unstructured":"Zheng XY (2023) Adaptive neural control for non-strict feedback stochastic nonlinear systems with input delay. Trans Inst Meas Control 46(1):104\u2013115","journal-title":"Trans Inst Meas Control"},{"issue":"5","key":"5932_CR43","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1002\/acs.3570","volume":"37","author":"AK Jain","year":"2023","unstructured":"Jain AK, Katiyar A (2023) Robust adaptive control design of nonlinear systems with input delay. Int. J. Adapt. Control. 37(5):1193\u20131202. https:\/\/doi.org\/10.1002\/acs.3570","journal-title":"Int. J. Adapt. Control."},{"key":"5932_CR44","doi-asserted-by":"publisher","unstructured":"Wei F, Niu B, Zong G, Zhao X (2024) Adaptive neural self-triggered bipartite consensus control for nonlinear fractional-order multi-agent systems with actuator fault. Nonlinear Dyn, https:\/\/doi.org\/10.1007\/s11071-024-10234-5","DOI":"10.1007\/s11071-024-10234-5"},{"key":"5932_CR45","doi-asserted-by":"crossref","unstructured":"Liu MG, Xu N (2024) Adaptive neural predefined-time hierarchical sliding mode control of switched under-actuated nonlinear systems subject to bouc-wen hysteresis. Int J Syst Sci 1\u201318","DOI":"10.1080\/00207721.2024.2344059"},{"issue":"8","key":"5932_CR46","doi-asserted-by":"publisher","first-page":"3433","DOI":"10.1109\/TCYB.2019.2921057","volume":"50","author":"WW Bai","year":"2020","unstructured":"Bai WW, Zhou Q, Li TS, Li HY (2020) Adaptive reinforcement learning neural network control for uncertain nonlinear system with input saturation. IEEE Trans. Cybern. 50(8):3433\u20133443","journal-title":"IEEE Trans. Cybern."},{"key":"5932_CR47","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ins.2022.11.109","volume":"621","author":"ZS Huang","year":"2023","unstructured":"Huang ZS, Bai WW, Li TS, Long Y, Chen CLP, Liang HJ, Yang HQ (2023) Adaptive reinforcement learning optimal tracking control for strict-feedback nonlinear systems with prescribed performance. Inform Sci 621:407\u2013423","journal-title":"Inform Sci"},{"issue":"4","key":"5932_CR48","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1109\/TCYB.2018.2799683","volume":"49","author":"DP Li","year":"2019","unstructured":"Li DP, Liu YJ, Tong S, Chen CLP, Li DJ (2019) Neural networks-based adaptive control for nonlinear state constrained systems with input delay. IEEE Trans. Cybern. 49(4):1249\u20131258","journal-title":"IEEE Trans. Cybern."}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05932-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-024-05932-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05932-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T15:07:06Z","timestamp":1737385626000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-024-05932-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,11]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["5932"],"URL":"https:\/\/doi.org\/10.1007\/s10489-024-05932-x","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,11]]},"assertion":[{"value":"14 October 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Materials availability"}}],"article-number":"129"}}