{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T01:52:24Z","timestamp":1768009944084,"version":"3.49.0"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11063-023-11375-1","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T10:02:02Z","timestamp":1691575322000},"page":"11273-11291","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Global Results on Exponential Stability of Neutral Cohen\u2013Grossberg Neural Networks Involving Multiple Neutral and Discrete Time-Varying Delays: A Method Based on System Solutions"],"prefix":"10.1007","volume":"55","author":[{"given":"Xian","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"11375_CR1","doi-asserted-by":"crossref","first-page":"101291","DOI":"10.1016\/j.nahs.2022.101291","volume":"47","author":"Z Dong","year":"2023","unstructured":"Dong Z, Wang X, Zhang X, Hu M, Dinh TN (2023) Global exponential synchronization of discrete-time high-order switched neural networks and its application to multi-channel audio encryption. Nonlinear Anal Hybrid Syst 47:101291","journal-title":"Nonlinear Anal Hybrid Syst"},{"key":"11375_CR2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.matcom.2021.10.012","volume":"193","author":"Y Chen","year":"2022","unstructured":"Chen Y, Zhang X, Xue Y (2022) Global exponential synchronization of high-order quaternion Hopfield neural networks with unbounded distributed delays and time-varying discrete delays. Math Comput Simul 193:173\u2013189","journal-title":"Math Comput Simul"},{"issue":"2","key":"11375_CR3","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1007\/s11063-019-10169-8","volume":"51","author":"M Abdelaziz","year":"2020","unstructured":"Abdelaziz M, Ch\u00e9rif F (2020) Exponential lag synchronization and global dissipativity for delayed fuzzy Cohen-Grossberg neural networks with discontinuous activations. Neural Process Lett 51(2):1653\u20131676","journal-title":"Neural Process Lett"},{"issue":"9","key":"11375_CR4","doi-asserted-by":"crossref","first-page":"3456","DOI":"10.1109\/TNNLS.2019.2944672","volume":"31","author":"J Townsend","year":"2020","unstructured":"Townsend J, Chaton T, Monteiro JM (2020) Extracting relational explanations from deep neural networks: a survey from a neural-symbolic perspective. IEEE Trans Neural Netw Learn Syst 31(9):3456\u20133470","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"11375_CR5","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1007\/s11063-020-10209-8","volume":"51","author":"L Zhou","year":"2020","unstructured":"Zhou L, Zhao Z (2020) Asymptotic stability and polynomial stability of impulsive Cohen-Grossberg neural networks with multi-proportional delays. Neural Process Lett 51(3):2607\u20132627","journal-title":"Neural Process Lett"},{"issue":"2","key":"11375_CR6","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.jmaa.2004.04.039","volume":"296","author":"J Cao","year":"2004","unstructured":"Cao J, Liang J (2004) Boundedness and stability for Cohen-Grossberg neural network with time-varying delays. J Math Anal Appl 296(2):665\u2013685","journal-title":"J Math Anal Appl"},{"key":"11375_CR7","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.neunet.2020.09.023","volume":"132","author":"O Faydasicok","year":"2020","unstructured":"Faydasicok O (2020) An improved Lyapunov functional with application to stability of Cohen-Grossberg neural networks of neutral-type with multiple delays. Neural Netw 132:532\u2013539","journal-title":"Neural Netw"},{"key":"11375_CR8","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1016\/j.neucom.2015.05.035","volume":"168","author":"KB Shi","year":"2015","unstructured":"Shi KB, Zhong SM, Zhu H, Liu XZ, Zeng Y (2015) New delay-dependent stability criteria for neutral-type neural networks with mixed random time-varying delays. Neurocomputing 168:896\u2013907","journal-title":"Neurocomputing"},{"issue":"1","key":"11375_CR9","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jfranklin.2014.10.005","volume":"352","author":"KB Shi","year":"2015","unstructured":"Shi KB, Zhu H, Zhong SM, Zeng Y, Zhang YP (2015) New stability analysis for neutral type neural networks with discrete and distributed delays using a multiple integral approach. J Franklin Inst 352(1):155\u2013176","journal-title":"J Franklin Inst"},{"issue":"12","key":"11375_CR10","doi-asserted-by":"crossref","first-page":"6415","DOI":"10.1007\/s00521-020-05404-6","volume":"33","author":"W Hu","year":"2021","unstructured":"Hu W, Qiao X, Dong T (2021) Spatiotemporal dynamic of a coupled neutral-type neural network with time delay and diffusion. Neural Comput Appl 33(12):6415\u20136426","journal-title":"Neural Comput Appl"},{"issue":"5","key":"11375_CR11","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1109\/TSMC.1983.6313075","volume":"13","author":"MA Cohen","year":"1983","unstructured":"Cohen MA, Grossberg S (1983) Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans Syst Man Cybern Syst 13(5):815\u2013826","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"10","key":"11375_CR12","doi-asserted-by":"crossref","first-page":"3255","DOI":"10.1016\/j.patcog.2010.04.027","volume":"43","author":"P Zheng","year":"2010","unstructured":"Zheng P, Zhang J, Tang W (2010) Color image associative memory on a class of Cohen-Grossberg networks. Pattern Recogn 43(10):3255\u20133260","journal-title":"Pattern Recogn"},{"issue":"10","key":"11375_CR13","doi-asserted-by":"crossref","first-page":"4924","DOI":"10.1109\/TCYB.2020.3034374","volume":"51","author":"X Wang","year":"2021","unstructured":"Wang X, Park JH, Liu H, Zhang X (2021) Cooperative output-feedback secure control of distributed linear cyber-physical systems resist intermittent DoS attacks. IEEE Trans Cybern 51(10):4924\u20134933","journal-title":"IEEE Trans Cybern"},{"issue":"5","key":"11375_CR14","doi-asserted-by":"crossref","first-page":"1921","DOI":"10.1109\/TCYB.2019.2901542","volume":"50","author":"X Wang","year":"2020","unstructured":"Wang X, Yang GH (2020) Fault-tolerant consensus tracking control for linear multiagent systems under switching directed network. IEEE Trans Cybern 50(5):1921\u20131930","journal-title":"IEEE Trans Cybern"},{"issue":"4","key":"11375_CR15","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1016\/j.jfranklin.2022.01.026","volume":"359","author":"X Wang","year":"2022","unstructured":"Wang X, Cao J, Yang B, Chen F (2022) Fast fixed-time synchronization control analysis for a class of coupled delayed Cohen-Grossberg neural networks. J Franklin Inst 359(4):1612\u20131639","journal-title":"J Franklin Inst"},{"issue":"2","key":"11375_CR16","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TAC.2018.2830638","volume":"64","author":"H Li","year":"2019","unstructured":"Li H, Zhao N, Wang X, Zhang X, Shi P (2019) Necessary and sufficient conditions of exponential stability for delayed linear discrete-time systems. IEEE Trans Autom Control 64(2):712\u2013719","journal-title":"IEEE Trans Autom Control"},{"issue":"6","key":"11375_CR17","doi-asserted-by":"crossref","first-page":"5356","DOI":"10.1109\/TCYB.2020.3031087","volume":"52","author":"F Long","year":"2022","unstructured":"Long F, Zhang CK, He Y, Wang QG, Wu M (2022) Stability analysis for delayed neural networks via a novel negative-definiteness determination method. IEEE Trans Cybern 52(6):5356\u20135366","journal-title":"IEEE Trans Cybern"},{"key":"11375_CR18","doi-asserted-by":"crossref","first-page":"48914","DOI":"10.1109\/ACCESS.2021.3068191","volume":"9","author":"L Wan","year":"2021","unstructured":"Wan L, Zhou Q (2021) Exponential stability of neutral-type Cohen-Grossberg neural networks with multiple time-varying delays. IEEE Access 9:48914\u201348922","journal-title":"IEEE Access"},{"key":"11375_CR19","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.neucom.2021.08.068","volume":"463","author":"X Zhang","year":"2021","unstructured":"Zhang X, Wang Y, Wang X (2021) A direct parameterized approach to global exponential stability of neutral-type Cohen-Grossberg neural networks with multiple discrete and neutral delays. Neurocomputing 463:334\u2013340","journal-title":"Neurocomputing"},{"issue":"4","key":"11375_CR20","first-page":"1245","volume":"14","author":"O Faydasicok","year":"2021","unstructured":"Faydasicok O (2021) Further stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays. Discrete Contin Dyn Syst-S 14(4):1245\u20131258","journal-title":"Discrete Contin Dyn Syst-S"},{"key":"11375_CR21","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.neunet.2020.06.013","volume":"129","author":"O Faydasicok","year":"2020","unstructured":"Faydasicok O (2020) A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays. Neural Netw 129:288\u2013297","journal-title":"Neural Netw"},{"key":"11375_CR22","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.neunet.2020.02.020","volume":"125","author":"O Faydasicok","year":"2020","unstructured":"Faydasicok O (2020) New criteria for global stability of neutral-type Cohen-Grossberg neural networks with multiple delays. Neural Netw 125:330\u2013337","journal-title":"Neural Netw"},{"key":"11375_CR23","doi-asserted-by":"crossref","first-page":"1973548","DOI":"10.1155\/2020\/1973548","volume":"2020","author":"O Faydasicok","year":"2020","unstructured":"Faydasicok O (2020) New results on stability of delayed Cohen-Grossberg neural networks of neutral type. Complexity 2020:1973548","journal-title":"Complexity"},{"key":"11375_CR24","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.jfranklin.2018.11.002","volume":"356","author":"S Arik","year":"2019","unstructured":"Arik S (2019) A modified Lyapunov functional with application to stability of neutral-type neural networks with time delays. J Franklin Inst 356:276\u2013291","journal-title":"J Franklin Inst"},{"issue":"5","key":"11375_CR25","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1109\/TNNLS.2019.2920672","volume":"31","author":"S Arik","year":"2020","unstructured":"Arik S (2020) New criteria for stability of neutral-type neural networks with multiple time delays. IEEE Trans Neural Netw Learn Syst 31(5):1504\u20131513","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"8","key":"11375_CR26","doi-asserted-by":"crossref","first-page":"8030","DOI":"10.3934\/math.2021466","volume":"6","author":"L Wan","year":"2021","unstructured":"Wan L, Zhou Q, Fu H, Zhang Q (2021) Exponential stability of Hopfield neural networks of neutral type with multiple time-varying delays. AIMS Math 6(8):8030\u20138043","journal-title":"AIMS Math"},{"issue":"1","key":"11375_CR27","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1186\/s13662-021-03274-3","volume":"2021","author":"Y Gholami","year":"2021","unstructured":"Gholami Y (2021) Existence and global asymptotic stability criteria for nonlinear neutral-type neural networks involving multiple time delays using a quadratic-integral Lyapunov functional. Adv Differ Equ 2021(1):112","journal-title":"Adv Differ Equ"},{"key":"11375_CR28","doi-asserted-by":"crossref","first-page":"27618","DOI":"10.1109\/ACCESS.2020.2971839","volume":"8","author":"L Wan","year":"2020","unstructured":"Wan L, Zhou Q (2020) Stability analysis of neutral-type Cohen-Grossberg neural networks with multiple time-varying delays. IEEE Access 8:27618\u201327623","journal-title":"IEEE Access"},{"key":"11375_CR29","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.neunet.2022.08.022","volume":"155","author":"O Faydasicok","year":"2022","unstructured":"Faydasicok O, Arik S (2022) A novel Lyapunov stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays. Neural Netw 155:330\u2013339","journal-title":"Neural Netw"},{"key":"11375_CR30","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1016\/j.neucom.2017.10.021","volume":"275","author":"G Zhang","year":"2018","unstructured":"Zhang G, Wang T, Li T, Fei S (2018) Multiple integral Lyapunov approach to mixed-delay-dependent stability of neutral neural networks. Neurocomputing 275:1782\u20131792","journal-title":"Neurocomputing"},{"key":"11375_CR31","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.1073\/pnas.81.10.3088","volume":"81","author":"JJ Hopfield","year":"1984","unstructured":"Hopfield JJ (1984) Neurons with graded response have collective computational properties like those of two-state neurons. Proc Natl Acad Sci 81:3088\u20133092","journal-title":"Proc Natl Acad Sci"},{"issue":"4","key":"11375_CR32","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1007\/BF01049141","volume":"5","author":"J B\u00e9lair","year":"1993","unstructured":"B\u00e9lair J (1993) Stability in a model of a delayed neural network. J Dyn Diff Equ 5(4):607\u2013623","journal-title":"J Dyn Diff Equ"},{"key":"11375_CR33","doi-asserted-by":"crossref","first-page":"1538","DOI":"10.1016\/j.neunet.2006.07.006","volume":"19","author":"K Lu","year":"2006","unstructured":"Lu K, Xu D, Yang Z (2006) Global attraction and stability for Cohen-Grossberg neural networks with delays. Neural Netw 19:1538\u20131549","journal-title":"Neural Netw"},{"key":"11375_CR34","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1016\/j.neucom.2010.11.021","volume":"74","author":"S Mandal","year":"2011","unstructured":"Mandal S, Majee NC (2011) Existence of periodic solutions for a class of Cohen-Grossberg type neural networks with neutral delays. Neurocomputing 74:1000\u20131007","journal-title":"Neurocomputing"},{"issue":"2","key":"11375_CR48","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/0024-3795(77)90073-8","volume":"18","author":"RJ Plemmons","year":"1977","unstructured":"Plemmons RJ (1977) M-matrix characterizations. I-nonsingular M-matrices. Linear Algebra Appl 18(2):175\u2013188","journal-title":"Linear Algebra Appl"},{"key":"11375_CR35","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.neunet.2019.01.017","volume":"113","author":"N Ozcan","year":"2019","unstructured":"Ozcan N (2019) Stability analysis of Cohen-Grossberg neural networks of neutral-type: multiple delays case. Neural Netw 113:20\u201327","journal-title":"Neural Netw"},{"issue":"4","key":"11375_CR36","first-page":"1415","volume":"14","author":"S Senan","year":"2021","unstructured":"Senan S, Yucel E, Orman Z, Samli R, Arik S (2021) A novel Lyapunov functional with application to stability analysis of neutral systems with nonlinear disturbances. Discrete Contin Dyn Syst-S 14(4):1415\u20131428","journal-title":"Discrete Contin Dyn Syst-S"},{"issue":"4","key":"11375_CR37","doi-asserted-by":"crossref","first-page":"2238","DOI":"10.1109\/TCYB.2020.3001341","volume":"52","author":"OM Kwon","year":"2022","unstructured":"Kwon OM, Lee SH, Park MJ (2022) Some novel results on stability analysis of generalized neural networks with time-varying delays via augmented approach. IEEE Trans Cybern 52(4):2238\u20132248","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"11375_CR38","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1109\/TNNLS.2020.3042307","volume":"33","author":"J Chen","year":"2022","unstructured":"Chen J, Zhang XM, Park JH, Xu S (2022) Improved stability criteria for delayed neural networks using a quadratic function negative-definiteness approach. IEEE Trans Neural Netw Learn Syst 33(3):1348\u20131354","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"11375_CR39","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.neucom.2022.02.015","volume":"483","author":"X Hu","year":"2022","unstructured":"Hu X, Liu X, Tang M (2022) Stability analysis of delayed neural network based on the convex method and the non-convex method. Neurocomputing 483:275\u2013285","journal-title":"Neurocomputing"},{"issue":"2","key":"11375_CR40","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/TNNLS.2019.2909350","volume":"31","author":"J Chen","year":"2022","unstructured":"Chen J, Park JH, Xu S (2022) Stability analysis for delayed neural networks with an improved general free-matrix-based integral inequality. IEEE Tran Neural Netw Learn Syst 31(2):675\u2013684","journal-title":"IEEE Tran Neural Netw Learn Syst"},{"key":"11375_CR41","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.matcom.2019.06.001","volume":"171","author":"C Huang","year":"2020","unstructured":"Huang C, Su R, Cao J, Xiao S (2020) Asymptotically stable high-order neutral cellular neural networks with proportional delays and D operators. Math Comput Simul 171:127\u2013135","journal-title":"Math Comput Simul"},{"issue":"12","key":"11375_CR42","doi-asserted-by":"crossref","first-page":"3433","DOI":"10.1080\/00207179.2020.1766118","volume":"94","author":"C Qian","year":"2021","unstructured":"Qian C (2021) New periodic stability for a class of Nicholson\u2019s blowflies models with multiple different delays. Int J Control 94(12):3433\u20133438","journal-title":"Int J Control"},{"issue":"3","key":"11375_CR43","doi-asserted-by":"crossref","first-page":"422","DOI":"10.3390\/math8030422","volume":"8","author":"G Rajchakit","year":"2020","unstructured":"Rajchakit G, Chanthorn P, Kaewmesri P, Sriraman R, Lim CP (2020) Global Mittag-Leffler stability and stabilization analysis of fractional-order quaternion-valued memristive neural networks. Mathematics 8(3):422","journal-title":"Mathematics"},{"key":"11375_CR44","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.neucom.2020.07.036","volume":"417","author":"G Rajchakit","year":"2020","unstructured":"Rajchakit G, Chanthorn P, Niezabitowski M, Ramachandran R, Baleanu D, Pratap A (2020) Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks. Neurocomputing 417:290\u2013301","journal-title":"Neurocomputing"},{"issue":"5","key":"11375_CR45","doi-asserted-by":"crossref","first-page":"742","DOI":"10.3390\/math8050742","volume":"8","author":"P Chanthorn","year":"2020","unstructured":"Chanthorn P, Rajchakit G, Thipcha J, Emharuethai C, Sriraman R, Lim CP, Ramachandran R (2020) Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties. Mathematics 8(5):742","journal-title":"Mathematics"},{"key":"11375_CR46","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1007\/s11063-020-10401-w","volume":"53","author":"G Rajchakit","year":"2021","unstructured":"Rajchakit G, Sriraman R (2021) Robust passivity and stability analysis of uncertain complex-valued impulsive neural networks with time-varying delays. Neural Process Lett 53:581\u2013606","journal-title":"Neural Process Lett"},{"key":"11375_CR47","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.neucom.2022.03.068","volume":"490","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Zhang X, Yu T (2022) Global exponential stability of neutral-type Cohen-Grossberg neural networks with multiple time-varying neutral and discrete delays. Neurocomputing 490:124\u2013131","journal-title":"Neurocomputing"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11375-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-023-11375-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11375-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T05:16:19Z","timestamp":1700630179000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-023-11375-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,9]]},"references-count":48,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["11375"],"URL":"https:\/\/doi.org\/10.1007\/s11063-023-11375-1","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,9]]},"assertion":[{"value":"15 July 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 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 have no conflicts of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}