{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:26:05Z","timestamp":1767007565862,"version":"3.37.3"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T00:00:00Z","timestamp":1673222400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T00:00:00Z","timestamp":1673222400000},"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":["12171124"],"award-info":[{"award-number":["12171124"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11063-022-11078-z","type":"journal-article","created":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T13:11:05Z","timestamp":1673269865000},"page":"5031-5054","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Variance-Constrained Resilient $$H_{\\infty }$$ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability"],"prefix":"10.1007","volume":"55","author":[{"given":"Yan","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7852-5064","authenticated-orcid":false,"given":"Jun","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junhua","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoqing","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,9]]},"reference":[{"issue":"24","key":"11078_CR1","doi-asserted-by":"crossref","first-page":"16881","DOI":"10.1007\/s00521-021-06049-9","volume":"33","author":"R Sakthivel","year":"2021","unstructured":"Sakthivel R, Aravinth N, Aouiti C, Arumugam K (2021) Finite-time synchronization of hierarchical hybrid coupled neural networks with mismatched quantization. Neural Comput Appl 33(24):16881\u201316897","journal-title":"Neural Comput Appl"},{"key":"11078_CR2","volume":"407","author":"R Sakthivel","year":"2021","unstructured":"Sakthivel R, Sakthivel R, Kwon OM, Selvaraj P (2021) Disturbance rejection for singular semi-Markov jump neural networks with input saturation. Appl Mathemat Comput 407:126301","journal-title":"Appl Mathemat Comput"},{"key":"11078_CR3","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.fss.2021.02.019","volume":"426","author":"P Wang","year":"2022","unstructured":"Wang P, Li X, Wang N, Li Y, Shi K, Lu J (2022) Almost periodic synchronization of quaternion-valued fuzzy cellular neural networks with leakage delays. Fuzzy Sets Syst 426:46\u201365","journal-title":"Fuzzy Sets Syst"},{"issue":"7","key":"11078_CR4","doi-asserted-by":"crossref","first-page":"3179","DOI":"10.1007\/s00034-020-01622-4","volume":"40","author":"G Nagamani","year":"2021","unstructured":"Nagamani G, Karnan A, Soundararajan G (2021) Delay-dependent and independent state estimation for BAM cellular neural networks with multi-proportional delays. Circuits Syst Signal Proc 40(7):3179\u20133203","journal-title":"Circuits Syst Signal Proc"},{"key":"11078_CR5","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.fss.2018.01.017","volume":"356","author":"H Shen","year":"2019","unstructured":"Shen H, Xing M, Huo S, Wu Z-G, Park JH (2019) Finite-time $$H_{\\infty }$$ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements. Fuzzy Sets Syst 356:113\u2013128","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"11078_CR6","doi-asserted-by":"crossref","first-page":"2007","DOI":"10.1007\/s11063-018-9960-z","volume":"50","author":"X Yan","year":"2019","unstructured":"Yan X, Tong D, Chen Q, Zhou W, Xu Y (2019) Adaptive state estimation of stochastic delayed neural networks with fractional Brownian motion. Neural Process Lett 50(2):2007\u20132020","journal-title":"Neural Process Lett"},{"issue":"1","key":"11078_CR7","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/TNNLS.2019.2899344","volume":"31","author":"G Tanaka","year":"2020","unstructured":"Tanaka G, Nakane R, Takeuchi T, Yamane T, Nakano D, Katayama Y, Hirose A (2020) Spatially arranged sparse recurrent neural networks for energy efficient associative memory. IEEE Trans Neural Net Learning Syst 31(1):24\u201338","journal-title":"IEEE Trans Neural Net Learning Syst"},{"issue":"3","key":"11078_CR8","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1007\/s11276-021-02555-9","volume":"27","author":"SK Kasi","year":"2021","unstructured":"Kasi SK, Das S, Biswas S (2021) Energy-efficient event pattern recognition in wireless sensor networks using multilayer spiking neural networks. Wireless Netw 27(3):2039\u20132054","journal-title":"Wireless Netw"},{"key":"11078_CR9","volume":"120","author":"L Zou","year":"2020","unstructured":"Zou L, Wang Z, Zhou D (2020) Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission. Automatica 120:109154","journal-title":"Automatica"},{"issue":"6","key":"11078_CR10","doi-asserted-by":"crossref","first-page":"2747","DOI":"10.3233\/IFS-130943","volume":"26","author":"Y-J Mon","year":"2014","unstructured":"Mon Y-J, Lin C-M (2014) Image processing based obstacle avoidance control for mobile robot by recurrent fuzzy neural network. J Intell Fuzzy Syst 26(6):2747\u20132754","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"11078_CR11","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s11063-018-9946-x","volume":"50","author":"MS Ali","year":"2019","unstructured":"Ali MS, Gunasekaran N, Joo YH (2019) Sampled-data state estimation of neutral type neural networks with mixed time-varying delays. Neural Process Lett 50(1):357\u2013378","journal-title":"Neural Process Lett"},{"key":"11078_CR12","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.fss.2016.03.012","volume":"306","author":"MS Ali","year":"2017","unstructured":"Ali MS, Gunasekaran N, Zhu Q (2017) State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control. Fuzzy Sets Syst 306:87\u2013104","journal-title":"Fuzzy Sets Syst"},{"issue":"4","key":"11078_CR13","doi-asserted-by":"crossref","first-page":"2249","DOI":"10.1007\/s11071-018-4322-y","volume":"93","author":"H Shen","year":"2018","unstructured":"Shen H, Huang Z, Yang X, Wang Z (2018) Quantized energy-to-peak state estimation for persistent dwell-time switched neural networks with packet dropouts. Nonlinear Dyn 93(4):2249\u20132262","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"11078_CR14","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1007\/s11063-017-9626-2","volume":"46","author":"W Gong","year":"2017","unstructured":"Gong W, Liang J, Kan X, Nie X (2017) Robust state estimation for delayed complex-valued neural networks. Neural Process Lett 46(3):1009\u20131029","journal-title":"Neural Process Lett"},{"issue":"11","key":"11078_CR15","doi-asserted-by":"crossref","first-page":"4437","DOI":"10.1109\/TNNLS.2019.2955287","volume":"31","author":"H Zhang","year":"2020","unstructured":"Zhang H, Qiu Z, Cao J, Abdel-Aty M, Xiong L (2020) Event-triggered synchronization for neutral-type semi-Markovian neural networks with partial mode-dependent time-varying delays. IEEE Trans Neural Net Learn Syst 31(11):4437\u20134450","journal-title":"IEEE Trans Neural Net Learn Syst"},{"key":"11078_CR16","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.neucom.2018.12.028","volume":"333","author":"H Zhang","year":"2019","unstructured":"Zhang H, Qiu Z, Xiong L (2019) Stochastic stability criterion of neutral-type neural networks with additive time-varying delay and uncertain semi-Markov jump. Neurocomputing 333:395\u2013406","journal-title":"Neurocomputing"},{"issue":"5","key":"11078_CR17","doi-asserted-by":"crossref","first-page":"2001","DOI":"10.1002\/rnc.4859","volume":"30","author":"H Zhang","year":"2020","unstructured":"Zhang H, Qiu Z, Liu X, Xiong L (2020) Stochastic robust finite-time boundedness for semi-Markov jump uncertain neutral-type neural networks with mixed time-varying delays via a generalized reciprocally convex combination inequality. Int J Robust Nonlinear Control 30(5):2001\u20132019","journal-title":"Int J Robust Nonlinear Control"},{"issue":"5","key":"11078_CR18","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1109\/JAS.2022.105581","volume":"9","author":"J Hu","year":"2022","unstructured":"Hu J, Jia C, Yu H, Liu H (2022) Dynamic event-triggered state estimation for nonlinear coupled output complex networks subject to innovation constraints. IEEE\/CAA J Automatica Sinica 9(5):941\u2013944","journal-title":"IEEE\/CAA J Automatica Sinica"},{"issue":"7","key":"11078_CR19","doi-asserted-by":"crossref","first-page":"2479","DOI":"10.1109\/TCYB.2018.2821188","volume":"49","author":"F Wang","year":"2019","unstructured":"Wang F, Wang Z, Liang J, Liu X (2019) Resilient state estimation for 2-D time-varying systems with redundant channels: a variance-constrained approach. IEEE Trans Cybernetics 49(7):2479\u20132489","journal-title":"IEEE Trans Cybernetics"},{"issue":"4","key":"11078_CR20","doi-asserted-by":"crossref","first-page":"1792","DOI":"10.1109\/TAC.2019.2934389","volume":"65","author":"D Ding","year":"2020","unstructured":"Ding D, Wang Z, Han Q-L (2020) A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks. IEEE Trans Autom Control 65(4):1792\u20131799","journal-title":"IEEE Trans Autom Control"},{"issue":"10","key":"11078_CR21","doi-asserted-by":"crossref","first-page":"3788","DOI":"10.1109\/TNNLS.2019.2946290","volume":"31","author":"B Shen","year":"2020","unstructured":"Shen B, Wang Z, Wang D, Li Q (2020) State-saturated recursive filter design for stochastic time-varying nonlinear complex networks under deception attacks. IEEE Trans Neural Networks Learning Syst 31(10):3788\u20133800","journal-title":"IEEE Trans Neural Networks Learning Syst"},{"issue":"9","key":"11078_CR22","doi-asserted-by":"crossref","first-page":"2284","DOI":"10.1016\/j.automatica.2012.06.029","volume":"48","author":"H Rafaralahy","year":"2012","unstructured":"Rafaralahy H, Richard E, Boutayeb M, Zasadzinski M (2012) Sensor diagnosis and state estimation for a class of skew symmetric time-varying systems. Automatica 48(9):2284\u20132289","journal-title":"Automatica"},{"key":"11078_CR23","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.automatica.2019.05.039","volume":"107","author":"E Tian","year":"2019","unstructured":"Tian E, Wang Z, Zou L, Yue D (2019) Chance-constrained $$H_{\\infty }$$ control for a class of time-varying systems with stochastic nonlinearities: the finite-horizon case. Automatica 107:296\u2013305","journal-title":"Automatica"},{"issue":"5","key":"11078_CR24","doi-asserted-by":"crossref","first-page":"2937","DOI":"10.1109\/TSMC.2019.2918002","volume":"51","author":"L Zou","year":"2021","unstructured":"Zou L, Wang Z, Han Q-L, Zhou D (2021) Moving horizon estimation of networked nonlinear systems with random access protocol. IEEE Trans Syst Man Cybernetics-Syst 51(5):2937\u20132948","journal-title":"IEEE Trans Syst Man Cybernetics-Syst"},{"key":"11078_CR25","volume":"120","author":"L Zou","year":"2020","unstructured":"Zou L, Wang Z, Zhou D (2020) Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission. Automatica 120:109154","journal-title":"Automatica"},{"issue":"2","key":"11078_CR26","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1080\/03081079.2014.973733","volume":"44","author":"J Liang","year":"2015","unstructured":"Liang J, Huang T, Hayat T, Alsaadi F (2015) $$H_{\\infty }$$ filtering for two-dimensional systems with mixed time delays, randomly occurring saturations and nonlinearities. Int J Gen Syst 44(2):226\u2013239","journal-title":"Int J Gen Syst"},{"key":"11078_CR27","doi-asserted-by":"crossref","unstructured":"Hu J, Li J, Kao Y, Chen D (2022) Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: the uncertain probabilities case. Appl Mathematics Comput vol\u00a0418: Art No: 126844","DOI":"10.1016\/j.amc.2021.126844"},{"issue":"3","key":"11078_CR28","doi-asserted-by":"crossref","first-page":"2029","DOI":"10.1007\/s11063-021-10498-7","volume":"53","author":"Z Shen","year":"2021","unstructured":"Shen Z, Li C, Li Y (2021) Estimation of the domain of attraction of discrete-time impulsive Cohen-Grossberg neural networks model with impulse input saturation. Neural Process Lett 53(3):2029\u20132046","journal-title":"Neural Process Lett"},{"issue":"1","key":"11078_CR29","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s11045-012-0197-0","volume":"25","author":"J Liang","year":"2014","unstructured":"Liang J, Wang Z, Liu X (2014) Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation. Multidimension Syst Signal Process 25(1):157\u2013177","journal-title":"Multidimension Syst Signal Process"},{"issue":"12","key":"11078_CR30","doi-asserted-by":"crossref","first-page":"3815","DOI":"10.1007\/s00521-016-2271-2","volume":"28","author":"Q Li","year":"2017","unstructured":"Li Q, Shen B, Liu Y, Huang T (2017) Event-triggered $$H_{\\infty }$$ state estimation for discrete-time neural networks with mixed time delays and sensor saturations. Neural Comput Appl 28(12):3815\u20133825","journal-title":"Neural Comput Appl"},{"issue":"6","key":"11078_CR31","doi-asserted-by":"crossref","first-page":"1192","DOI":"10.1080\/00207721.2021.1872118","volume":"52","author":"L Liu","year":"2021","unstructured":"Liu L, Ma L, Zhang J, Bo Y (2021) Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks. Int J Syst Sci 52(6):1192\u20131205","journal-title":"Int J Syst Sci"},{"key":"11078_CR32","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.neucom.2016.12.018","volume":"230","author":"L Xie","year":"2017","unstructured":"Xie L, Wang Y, Yang Y, Li L (2017) Non-fragile $$H_{\\infty }$$ state estimation for nonlinear networked system with probabilistic diverging disturbance and multiple missing measurements. Neurocomputing 230:270\u2013278","journal-title":"Neurocomputing"},{"issue":"1","key":"11078_CR33","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1080\/21642583.2022.2086183","volume":"10","author":"S Feng","year":"2022","unstructured":"Feng S, Yu H, Jia C, Gao P (2022) Joint state and fault estimation for nonlinear complex networks with mixed time-delays and uncertain inner coupling: non-fragile recursive method. Syst Sci Control Eng 10(1):603\u2013615","journal-title":"Syst Sci Control Eng"},{"issue":"6","key":"11078_CR34","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.1080\/00207721.2021.1998721","volume":"53","author":"F Qu","year":"2022","unstructured":"Qu F, Zhao X, Wang X, Tian E (2022) Probabilistic-constrained distributed fusion filtering for a class of time-varying systems over sensor networks: a torus-event-triggering mechanism. Int J Syst Sci 53(6):1288\u20131297","journal-title":"Int J Syst Sci"},{"issue":"16","key":"11078_CR35","doi-asserted-by":"crossref","first-page":"3351","DOI":"10.1080\/00207721.2021.1995528","volume":"52","author":"J Hu","year":"2021","unstructured":"Hu J, Jia C, Liu H, Yi X, Liu Y (2021) A survey on state estimation of complex dynamical networks. Int J Syst Sci 52(16):3351\u20133367","journal-title":"Int J Syst Sci"},{"issue":"1","key":"11078_CR36","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1080\/21642583.2022.2063203","volume":"10","author":"P Wen","year":"2022","unstructured":"Wen P, Li X, Hou N, Mu S (2022) Distributed recursive fault estimation with binary encoding schemes over sensor networks. Syst Sci Control Eng 10(1):417\u2013427","journal-title":"Syst Sci Control Eng"},{"issue":"16","key":"11078_CR37","doi-asserted-by":"crossref","first-page":"3410","DOI":"10.1080\/00207721.2021.2005178","volume":"52","author":"H Geng","year":"2021","unstructured":"Geng H, Liu H, Ma L, Yi X (2021) Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects. Int J Syst Sci 52(16):3410\u20133436","journal-title":"Int J Syst Sci"},{"key":"11078_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2017.08.011","volume":"273","author":"L Zha","year":"2018","unstructured":"Zha L, Fang J-A, Liu J, Tian E (2018) Event-triggered non-fragile state estimation for delayed neural networks with randomly occurring sensor nonlinearity. Neurocomputing 273:1\u20138","journal-title":"Neurocomputing"},{"key":"11078_CR39","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.neucom.2015.11.089","volume":"179","author":"N Hou","year":"2016","unstructured":"Hou N, Dong H, Wang Z, Ren W, Alsaadi FE (2016) Non-fragile state estimation for discrete Markovian jumping neural networks. Neurocomputing 179:238\u2013245","journal-title":"Neurocomputing"},{"key":"11078_CR40","doi-asserted-by":"crossref","unstructured":"Gao Y, Hu J, Chen D, Du J (2019) Variance-constrained resilient $$H_{\\infty }$$ state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements. Adv Difference Equ vol\u00a02019, no\u00a01, Article No: 380","DOI":"10.1186\/s13662-019-2298-7"},{"issue":"5","key":"11078_CR41","doi-asserted-by":"crossref","first-page":"2534","DOI":"10.1109\/TSP.2010.2042489","volume":"58","author":"H Dong","year":"2010","unstructured":"Dong H, Wang Z, Ho DWC, Gao H (2010) Variance-constrained $$H_{\\infty }$$ filtering for a class of nonlinear time-varying systems with multiple missing measurements: The finite-horizon case. IEEE Trans Signal Process 58(5):2534\u20132543","journal-title":"IEEE Trans Signal Process"},{"issue":"14","key":"11078_CR42","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1002\/rnc.1662","volume":"21","author":"B Shen","year":"2011","unstructured":"Shen B, Wang Z, Shu H, Wei G (2011) $$H_{\\infty }$$ filtering for uncertain time-varying systems with multiple randomly occurred nonlinearities and successive packet dropouts. Int J Robust Nonlinear Control 21(14):1693\u20131709","journal-title":"Int J Robust Nonlinear Control"},{"issue":"7","key":"11078_CR43","first-page":"2757","volume":"29","author":"H Dong","year":"2018","unstructured":"Dong H, Hou N, Wang Z, Ren W (2018) Variance-constrained state estimation for complex networks with randomly varying topologies. IEEE Trans Neural Networks Learning Syst 29(7):2757\u20132768","journal-title":"IEEE Trans Neural Networks Learning Syst"},{"key":"11078_CR44","doi-asserted-by":"crossref","unstructured":"Ding K, Zhu Q (2021) Extended dissipative anti-disturbance control for delayed switched singular semi-Markovian jump systems with multi-disturbance via disturbance observer, Automatica vol\u00a0128: Article No: 109556","DOI":"10.1016\/j.automatica.2021.109556"},{"key":"11078_CR45","doi-asserted-by":"crossref","unstructured":"Yang X, Wang H, Zhu Q (2022) Event-triggered predictive control of nonlinear stochastic systems with output delay. Automatica vol\u00a0140, Article No: 110230","DOI":"10.1016\/j.automatica.2022.110230"},{"issue":"9","key":"11078_CR46","doi-asserted-by":"crossref","first-page":"3764","DOI":"10.1109\/TAC.2018.2882067","volume":"64","author":"Q Zhu","year":"2019","unstructured":"Zhu Q (2019) Stabilization of stochastic nonlinear delay systems with exogenous disturbances and the event-triggered feedback control. IEEE Trans Autom Control 64(9):3764\u20133771","journal-title":"IEEE Trans Autom Control"},{"issue":"18","key":"11078_CR47","doi-asserted-by":"crossref","first-page":"9767","DOI":"10.1002\/rnc.5798","volume":"31","author":"Q Zhu","year":"2021","unstructured":"Zhu Q, Huang T (2021) $$H_{\\infty }$$ control of stochastic networked control systems with time-varying delays: the event-triggered sampling case. Int J Robust Nonlinear Control 31(18):9767\u20139781","journal-title":"Int J Robust Nonlinear Control"},{"key":"11078_CR48","doi-asserted-by":"publisher","unstructured":"Ma Y-S, Che W-W, Deng C, Wu Z-G (2021) Distributed model-free adaptive control for learning nonlinear MASs under DoS attacks. IEEE Trans Neural Net Learning Syst https:\/\/doi.org\/10.1109\/TNNLS.2021.3104978","DOI":"10.1109\/TNNLS.2021.3104978"},{"issue":"5","key":"11078_CR49","doi-asserted-by":"crossref","first-page":"2246","DOI":"10.1109\/TCSI.2021.3060789","volume":"68","author":"Y Xu","year":"2021","unstructured":"Xu Y, Sun J, Wang G, Wu Z-G (2021) Dynamic triggering mechanisms for distributed adaptive synchronization control and its application to circuit systems. IEEE Trans Circuits Syst I-Regular Papers 68(5):2246\u20132256","journal-title":"IEEE Trans Circuits Syst I-Regular Papers"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11078-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-11078-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11078-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T16:57:42Z","timestamp":1690822662000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-11078-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,9]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["11078"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-11078-z","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"type":"print","value":"1370-4621"},{"type":"electronic","value":"1573-773X"}],"subject":[],"published":{"date-parts":[[2023,1,9]]},"assertion":[{"value":"16 October 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2023","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 declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}