{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T03:06:19Z","timestamp":1768273579761,"version":"3.49.0"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100011415","name":"State Key Laboratory of Mechanical System and Vibration","doi-asserted-by":"crossref","award":["MSVZD202103"],"award-info":[{"award-number":["MSVZD202103"]}],"id":[{"id":"10.13039\/501100011415","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]},{"name":"Ministry of Education-China Mobile Research Foundation","award":["MCM20180703"],"award-info":[{"award-number":["MCM20180703"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s00521-022-07597-4","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T17:02:58Z","timestamp":1658336578000},"page":"20231-20247","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead"],"prefix":"10.1007","volume":"34","author":[{"given":"Jianfeng","family":"Tao","sequence":"first","affiliation":[]},{"given":"Honggan","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Chengjin","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Chengliang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"issue":"1","key":"7597_CR1","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/s00521-020-04993-6","volume":"33","author":"M Wei","year":"2021","unstructured":"Wei M, Wang ZL, Wang XY, Peng JL, Song Y (2021) Prediction of TBM penetration rate based on Monte Carlo-BP neural network. Neural Comput Appl 33(1):603\u2013611","journal-title":"Neural Comput Appl"},{"key":"7597_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103603","volume":"124","author":"HG Yu","year":"2021","unstructured":"Yu HG, Tao JF, Huang S, Qin CJ, Xiao DY, Liu CL (2021) A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead. Automat Constr 124:103603","journal-title":"Automat Constr"},{"key":"7597_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109148","volume":"175","author":"CJ Qin","year":"2022","unstructured":"Qin CJ, Shi G, Tao JF, Yu HG, Jin YR, Xiao DY, Zhang ZN, Liu CL (2022) An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine. Mech Syst Signal Pr 175:109148","journal-title":"Mech Syst Signal Pr"},{"issue":"4","key":"7597_CR4","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1007\/s10845-019-01488-7","volume":"31","author":"ZW Huang","year":"2019","unstructured":"Huang ZW, Zhu JM, Lei JT, Li XR, Tian FQ (2019) Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations. J Intell Manuf 31(4):953\u2013966","journal-title":"J Intell Manuf"},{"key":"7597_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111090","volume":"194","author":"CJ Qin","year":"2022","unstructured":"Qin CJ, Xiao DY, Tao JF, Yu HG, Jin YR, Sun YX, Liu CL (2022) Concentrated velocity synchronous linear chirplet transform with application to robotic drilling chatter monitoring. Measurement 194:111090","journal-title":"Measurement"},{"issue":"1\u20134","key":"7597_CR6","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s00170-018-2739-6","volume":"100","author":"JF Tao","year":"2019","unstructured":"Tao JF, Qin CJ, Liu CL (2019) A synchroextracting-based method for early chatter identification of robotic drilling process. Int J Adv Manuf Technol 100(1\u20134):273\u2013285","journal-title":"Int J Adv Manuf Technol"},{"issue":"2","key":"7597_CR7","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s10845-016-1272-4","volume":"30","author":"Y Zerehsaz","year":"2019","unstructured":"Zerehsaz Y, Shao C, Jin JH (2019) Tool wear monitoring in ultrasonic welding using high-order decomposition. J Intell Manuf 30(2):657\u2013669","journal-title":"J Intell Manuf"},{"issue":"7","key":"7597_CR8","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.tust.2014.05.007","volume":"43","author":"J Hassanpour","year":"2014","unstructured":"Hassanpour J, Rostami J, Azali ST, Zhao J (2014) Introduction of an empirical TBM cutter wear prediction model for pyroclastic and mafic igneous rocks; a case history of Karaj water conveyance tunnel. Iran Tunn Undergr Space Technol 43(7):222\u2013231","journal-title":"Iran Tunn Undergr Space Technol"},{"key":"7597_CR9","unstructured":"Frenzel C (2011) Disc cutter wear phenomenology and their implications on disc cutter consumption for TBM. In: 45th US Rock Mechanics\/Geomechanics Symposium. American Rock Mechanics Association"},{"key":"7597_CR10","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.tust.2018.12.010","volume":"85","author":"ZC Sun","year":"2019","unstructured":"Sun ZC, Zhao HL, Hong KR, Chen K, Zhou JJ, Li FY, Zhang N, Song FL, Yang YD, He RY (2019) A practical TBM cutter wear prediction model for disc cutter life androck wear ability. Tunn Undergr Space Technol 85:92\u201399","journal-title":"Tunn Undergr Space Technol"},{"issue":"5","key":"7597_CR11","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1007\/s00603-017-1176-4","volume":"50","author":"QS Liu","year":"2017","unstructured":"Liu QS, Liu JP, Pan YC, Zhang XP, Peng XX, Gong QM, Du LJ (2017) A wear rule and cutter life prediction model of a 20-in. TBM cutter for granite: a case study of a water conveyance tunnel in China. Rock Mech Rock Eng 50(5):1303\u20131320","journal-title":"Rock Mech Rock Eng"},{"issue":"2","key":"7597_CR12","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.undsp.2020.01.001","volume":"6","author":"BL Liu","year":"2021","unstructured":"Liu BL, Yang HQ, Karekal S (2021) Reliability analysis of TBM disc cutters under different conditions. Undergr Space 6(2):142\u2013152","journal-title":"Undergr Space"},{"key":"7597_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2019.103043","volume":"93","author":"XN Rong","year":"2019","unstructured":"Rong XN, Lu H, Wang MY, Wen Z, Rong XL (2019) Cutter wear evaluation from operational parameters in EPB tunneling of Chengdu Metro. Tunn Undergr Space Technol 93:103043","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR14","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.tust.2018.02.009","volume":"75","author":"J Hassanpour","year":"2018","unstructured":"Hassanpour J (2018) Development of an empirical model to estimate disc cutter wear for sedimentary and low to medium grade metamorphic rocks. Tunn Undergr Space Technol 75:90\u201399","journal-title":"Tunn Undergr Space Technol"},{"issue":"19","key":"7597_CR15","doi-asserted-by":"publisher","first-page":"4230","DOI":"10.3390\/s19194230","volume":"19","author":"F Wang","year":"2019","unstructured":"Wang F, Men CH, Kong XW, Meng LX (2019) Optimum design and application research of eddy current sensor for measurement of TBM disc cutter wear. Sensors 19(19):4230","journal-title":"Sensors"},{"key":"7597_CR16","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.tust.2019.04.010","volume":"89","author":"H Lan","year":"2019","unstructured":"Lan H, Xia YM, Ji ZY, Fu J, Miao B (2019) Online monitoring device of disc cutter wear-design and field test. Tunn Undergr Space Technol 89:284\u2013294","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR17","unstructured":"Shinouda MM, Gwildis UG, Wang P, Hodder W, Redmond S, Romero V (2011) Cutterhead maintenance for EPB tunnel boring machines. In: Proceedings rapid excavation and tunneling conference, San Francisco, CA"},{"key":"7597_CR18","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.tust.2018.07.017","volume":"81","author":"E Farrokh","year":"2018","unstructured":"Farrokh E, Kim DY (2018) A discussion on hard rock TBM cutter wear and cutterhead intervention interval length evaluation. Tunn Undergr Space Technol 81:336\u2013357","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR19","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.tust.2016.02.006","volume":"57","author":"TY Ko","year":"2016","unstructured":"Ko TY, Kim TK, Son YJ, Jeon S (2016) Effect of geomechanical properties on Cerchar Abrasivity Index (CAI) and its application to TBM tunnelling. Tunn Undergr Space Technol 57:99\u2013111","journal-title":"Tunn Undergr Space Technol"},{"issue":"3","key":"7597_CR20","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1007\/s10064-016-0853-y","volume":"75","author":"S Er","year":"2016","unstructured":"Er S, Tu\u011frul A (2016) Estimation of Cerchar abrasivity index of granitic rocks in Turkey by geological properties using regression analysis. Bull Eng Geol Environ 75(3):1325\u20131339","journal-title":"Bull Eng Geol Environ"},{"key":"7597_CR21","unstructured":"Herrenknecht (2015) Disc Cutter Rotation Monitoring. https:\/\/www.herrenknecht.com\/cn\/suche\/?tx_solr%5Bq%5D=dcrm"},{"key":"7597_CR22","unstructured":"Robbins (2017) Smartcutter. https:\/\/www.therobbinscompany.com\/?s=Smartcutter"},{"key":"7597_CR23","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.tust.2013.07.013","volume":"38","author":"AG Ehsan","year":"2013","unstructured":"Ehsan AG, Mooney MA, Frank G, Walter B, DiPonio MA (2013) Periodic inspection of gauge cutter wear on EPB TBMs using cone penetration testing. Tunn Undergr Space Technol 38:279\u2013286","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108353","volume":"165","author":"HG Yu","year":"2022","unstructured":"Yu HG, Tao JF, Qin CJ, Liu MY, Xiao DY, Sun H, Liu CL (2022) A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition. Mech Syst Signal Pr 165:108353","journal-title":"Mech Syst Signal Pr"},{"key":"7597_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107213","volume":"228","author":"G Shi","year":"2021","unstructured":"Shi G, Qin C, Tao J, Liu C (2021) A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque. Knowl-Based Syst 228:107213","journal-title":"Knowl-Based Syst"},{"issue":"3","key":"7597_CR26","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.tust.2007.04.011","volume":"23","author":"S Yagiz","year":"2008","unstructured":"Yagiz S (2008) Utilizing rock mass properties for predicting TBM performance in hard rock condition. Tunn Undergr Space Technol 23(3):326\u2013339","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR27","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/j.tust.2018.10.001","volume":"83","author":"LJ Jing","year":"2019","unstructured":"Jing LJ, Li JB, Yang C, Chen S, Zhang N, Peng XX (2019) A case study of TBM performance prediction using field tunnelling tests in limestone strata. Tunn Undergr Space Technol 83:364\u2013372","journal-title":"Tunn Undergr Space Technol"},{"issue":"3","key":"7597_CR28","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1002\/geot.201500005","volume":"8","author":"J Hassanpour","year":"2015","unstructured":"Hassanpour J, Rostami J, Zhao J, Azali ST (2015) TBM performance and disc cutter wear prediction based on ten years experience of TBM tunnelling in Iran. Geomech Tunn 8(3):239\u2013247","journal-title":"Geomech Tunn"},{"key":"7597_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109545","volume":"179","author":"HG Yu","year":"2021","unstructured":"Yu HG, Tao JF, Qin CJ, Xiao DY, Sun H, Liu CL (2021) Rock mass type prediction for tunnel boring machine using a novel semi-supervised method. Measurement 179:109545","journal-title":"Measurement"},{"key":"7597_CR30","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.tust.2016.11.001","volume":"61","author":"S Amoun","year":"2017","unstructured":"Amoun S, Sharifzadeh M, Shahriar K, Rostami J, Azali ST (2017) Evaluation of tool wear in EPB tunneling of Tehran Metro, Line 7 expansion. Tunn Undergr Space Technol 61:233\u2013246","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2019.04.014","volume":"91","author":"B Liu","year":"2019","unstructured":"Liu B, Wang RR, Guan ZD, Li JB, Xu ZH, Guo X, Wang YX (2019) Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data. Tunn Undergr Space Technol 91:102958","journal-title":"Tunn Undergr Space Technol"},{"key":"7597_CR32","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1007\/s11431-021-1904-7","volume":"65","author":"Q Chao","year":"2022","unstructured":"Chao Q, Gao HH, Tao JF, Wang YH, Zhou J, Liu CL (2022) Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals. Sci China Technol Sc 65:470\u2013480","journal-title":"Sci China Technol Sc"},{"key":"7597_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108312","volume":"165","author":"Y Jin","year":"2022","unstructured":"Jin Y, Qin C, Tao J, Liu C (2022) An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network. Mech Syst Sig Process 165:108312","journal-title":"Mech Syst Sig Process"},{"key":"7597_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109186","volume":"176","author":"DY Xiao","year":"2021","unstructured":"Xiao DY, Qin CJ, Yu HG, Huang YX, Liu CL, Zhang JW (2021) Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals. Measurement 176:109186","journal-title":"Measurement"},{"issue":"3","key":"7597_CR35","first-page":"223","volume":"1","author":"C Ferreira","year":"2002","unstructured":"Ferreira C (2002) Gene expression programming: mathematical modeling by an artificial intelligence. Eng Appl Artif Intell 1(3):223\u2013225","journal-title":"Eng Appl Artif Intell"},{"issue":"8","key":"7597_CR36","doi-asserted-by":"publisher","first-page":"17811","DOI":"10.1007\/s00521-020-05155-4","volume":"32","author":"A Nazari","year":"2020","unstructured":"Nazari A (2020) Retraction Note to: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming. Neural Comput Appl 32(8):17811","journal-title":"Neural Comput Appl"},{"issue":"5","key":"7597_CR37","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1109\/TIM.2012.2224275","volume":"62","author":"FM Janeiro","year":"2012","unstructured":"Janeiro FM, Santos JE, Ramos PM (2012) Gene expression programming in sensor characterization: Numerical results and experimental validation. IEEE Trans Instrum Meas 62(5):1373\u20131381","journal-title":"IEEE Trans Instrum Meas"},{"issue":"24","key":"7597_CR38","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1007\/s12517-019-4953-4","volume":"12","author":"S Nce","year":"2019","unstructured":"Nce S, Bozda A, Fener M, Kahraman S (2019) Estimation of uniaxial compressive strength of pyroclastic rocks (Cappadocia, Turkey) by gene expression programming. Arab J Geosci 12(24):756","journal-title":"Arab J Geosci"},{"key":"7597_CR39","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1007\/s00521-016-2718-5","volume":"30","author":"S Bing\u00f6l","year":"2018","unstructured":"Bing\u00f6l S, K\u0131l\u0131\u00e7gedik HY (2018) Application of gene expression programming in hot metal forming for intelligent manufacturing. Neural Comput Appl 30:937\u2013945","journal-title":"Neural Comput Appl"},{"issue":"4","key":"7597_CR40","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.jrmge.2013.05.006","volume":"5","author":"A Ozbek","year":"2013","unstructured":"Ozbek A, Unsal M, Dikec A (2013) Estimating uniaxial compressive strength of rocks using genetic expression programming. J Rock Mech Geotech 5(4):325\u2013329","journal-title":"J Rock Mech Geotech"},{"issue":"11","key":"7597_CR41","doi-asserted-by":"publisher","first-page":"3523","DOI":"10.1007\/s00521-017-2939-2","volume":"30","author":"D Armaghani","year":"2018","unstructured":"Armaghani D, Safari V, Fahimifar A, Amin MF, Monjezi M, Mohammadi MA (2018) Uniaxial compressive strength prediction through a new technique based on gene expression programming. Neural Comput Appl 30(11):3523\u20133532","journal-title":"Neural Comput Appl"},{"key":"7597_CR42","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.ijrmms.2016.07.028","volume":"88","author":"RS Faradonbeh","year":"2016","unstructured":"Faradonbeh RS, Armaghani DJ, Monjezi M, Tonnizam E (2016) Genetic programming and gene expression programming for flyrock assessment due to mine blasting. Int J Rock Mech Min Sci 88:254\u2013264","journal-title":"Int J Rock Mech Min Sci"},{"key":"7597_CR43","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.engappai.2014.06.020","volume":"35","author":"H G\u00fcll\u00fc","year":"2014","unstructured":"G\u00fcll\u00fc H (2014) Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash. Eng Appl Artif Intell 35:143\u2013157","journal-title":"Eng Appl Artif Intell"},{"key":"7597_CR44","unstructured":"Frenzel C (2010). Verschleisskostenprognose f\u00fcr Schneidrollen bei maschinellen Tunnelvortrieben in Festgesteinen. Dr. Friedrich Pfeil"},{"key":"7597_CR45","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.autcon.2018.12.022","volume":"100","author":"QL Zhang","year":"2019","unstructured":"Zhang QL, Liu ZY, Tan JR (2019) Prediction of geological conditions for a tunnel boring machine using big operational data. Autom Constr 100:73\u201383","journal-title":"Autom Constr"},{"issue":"13","key":"7597_CR46","first-page":"87","volume":"2","author":"C Ferreira","year":"2001","unstructured":"Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Systems 2(13):87\u2013129","journal-title":"Complex Systems"},{"issue":"6","key":"7597_CR47","doi-asserted-by":"publisher","first-page":"1540","DOI":"10.1016\/j.jnca.2013.02.004","volume":"36","author":"Y Yang","year":"2013","unstructured":"Yang Y, Li XY, Gao L, Shao XY (2013) A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming. J Netw Comput Appl 36(6):1540\u20131550","journal-title":"J Netw Comput Appl"},{"issue":"4","key":"7597_CR48","doi-asserted-by":"publisher","first-page":"4080","DOI":"10.1016\/j.eswa.2010.09.071","volume":"38","author":"C Kayadelen","year":"2011","unstructured":"Kayadelen C (2011) Soil liquefaction modeling by genetic expression programming and neuro-fuzzy. Expert Syst Appl 38(4):4080\u20134087","journal-title":"Expert Syst Appl"},{"key":"7597_CR49","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/978-1-4471-0123-9_54","volume-title":"Soft computing and industry","author":"C Ferreira","year":"2002","unstructured":"Ferreira C (2002) Gene expression programming in problem solving. Soft computing and industry. Springer, London, pp 635\u2013653"},{"key":"7597_CR50","unstructured":"GEPSOFT (2013) GeneXproTools. https:\/\/www.gepsoft.com"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07597-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07597-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07597-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T02:15:35Z","timestamp":1666318535000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07597-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,20]]},"references-count":50,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["7597"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07597-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,20]]},"assertion":[{"value":"28 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no potential conflict of interest in our paper. And all authors have seen the manuscript and approved to submit to your journal.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The data used in this paper to support the findings of this study are available from the corresponding author upon reasonable request.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Data availability"}}]}}