{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T05:09:57Z","timestamp":1773724197894,"version":"3.50.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100006952","name":"Louisiana Board of Regents","doi-asserted-by":"publisher","award":["RCS: LEQSF(2022-25)-RD-A-11"],"award-info":[{"award-number":["RCS: LEQSF(2022-25)-RD-A-11"]}],"id":[{"id":"10.13039\/100006952","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Addit Manuf"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1007\/s40964-024-00817-4","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T16:01:44Z","timestamp":1727452904000},"page":"3437-3453","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["LiDAR-based real-time geometrical inspection for large-scale additive manufacturing"],"prefix":"10.1007","volume":"10","author":[{"given":"Michael","family":"Martin","sequence":"first","affiliation":[]},{"given":"Kasra","family":"Banijamali","sequence":"additional","affiliation":[]},{"given":"Hunter","family":"Gilbert","sequence":"additional","affiliation":[]},{"given":"David","family":"Mascarenas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9525-6759","authenticated-orcid":false,"given":"Ali","family":"Kazemian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,27]]},"reference":[{"key":"817_CR1","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1016\/j.jmapro.2022.10.060","volume":"84","author":"M Armstrong","year":"2022","unstructured":"Armstrong M, Mehrabi H, Naveed N (2022) An overview of modern metal additive manufacturing technology. J Manuf Process 84:1001\u20131029. https:\/\/doi.org\/10.1016\/j.jmapro.2022.10.060","journal-title":"J Manuf Process"},{"key":"817_CR2","volume":"50","author":"A Kanyilmaz","year":"2022","unstructured":"Kanyilmaz A et al (2022) Role of metal 3D printing to increase quality and resource-efficiency in the construction sector. Addit Manuf 50:102541","journal-title":"Addit Manuf"},{"key":"817_CR3","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.susoc.2021.09.004","volume":"3","author":"A Jandyal","year":"2022","unstructured":"Jandyal A, Chaturvedi I, Wazir I, Raina A, Haq MIU (2022) 3D printing\u2014a review of processes, materials and applications in industry 4.0. Sustain Oper Comput 3:33\u201342","journal-title":"Sustain Oper Comput"},{"key":"817_CR4","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.mattod.2022.08.014","volume":"59","author":"S Wang","year":"2022","unstructured":"Wang S et al (2022) Role of porosity defects in metal 3D printing: Formation mechanisms, impacts on properties and mitigation strategies. Mater Today 59:133\u2013160","journal-title":"Mater Today"},{"key":"817_CR5","unstructured":"Khoshnevis B, Hwang D (1997) Contour crafting. In: International Conference on Rapid Prototyping, San Francisco, 1997, pp 13\u201322"},{"issue":"6","key":"817_CR6","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1007\/s40964-023-00397-9","volume":"8","author":"CM Vicente","year":"2023","unstructured":"Vicente CM, Sardinha M, Reis L, Ribeiro A, Leite M (2023) Large-format additive manufacturing of polymer extrusion-based deposition systems: review and applications. Progress Addit Manuf 8(6):1257\u20131280","journal-title":"Progress Addit Manuf"},{"key":"817_CR7","first-page":"501","volume":"24A","author":"A Kazemian","year":"2023","unstructured":"Kazemian A, Giwa I, Ekenel M (2023) Large-scale additive manufacturing for automated construction\u2014an overview. Addit Manuf Des Appl 24A:501\u2013508","journal-title":"Addit Manuf Des Appl"},{"key":"817_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cemconcomp.2021.104115","volume":"122","author":"J Xiao","year":"2021","unstructured":"Xiao J et al (2021) Large-scale 3D printing concrete technology: Current status and future opportunities. Cement Concr Compos 122:104115","journal-title":"Cement Concr Compos"},{"key":"817_CR9","doi-asserted-by":"publisher","first-page":"130593","DOI":"10.1016\/j.conbuildmat.2023.130593","volume":"369","author":"I Giwa","year":"2023","unstructured":"Giwa I et al (2023) Performance and macrostructural characterization of 3D printed steel fiber reinforced cementitious materials. Constr Build Mater 369:130593","journal-title":"Constr Build Mater"},{"issue":"5","key":"817_CR10","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1108\/RPJ-11-2015-0165","volume":"22","author":"B Kohshnevis","year":"2016","unstructured":"Kohshnevis B, Yuan X, Zahiri B, Zhang J, Xia B (2016) Construction by contour crafting using sulfur concrete with planetary applications. Rapid Prototyping J 22(5):848\u2013856","journal-title":"Rapid Prototyping J"},{"key":"817_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2024.105571","volume":"165","author":"I Giwa","year":"2024","unstructured":"Giwa I, Dempsey M, Fiske M, Kazemian A (2024) 3D printed sulfur-regolith concrete performance evaluation for waterless extraterrestrial robotic construction. Autom Constr 165:105571. https:\/\/doi.org\/10.1016\/j.autcon.2024.105571","journal-title":"Autom Constr"},{"key":"817_CR12","doi-asserted-by":"crossref","unstructured":"Giwa I, Hebert M, Lamendola J, Fiske M, Kazemian A (2024) Planetary robotic construction using large-scale 3D printing with sulfur concrete. In: Construction Research Congress 2024, 2024, pp 586\u2013596","DOI":"10.1061\/9780784485262.060"},{"key":"817_CR13","doi-asserted-by":"publisher","first-page":"124520","DOI":"10.1016\/j.conbuildmat.2021.124520","volume":"303","author":"A Kazemian","year":"2021","unstructured":"Kazemian A, Khoshnevis B (2021) Real-time extrusion quality monitoring techniques for construction 3D printing. Const Build Mater 303:124520","journal-title":"Const Build Mater"},{"key":"817_CR14","doi-asserted-by":"publisher","first-page":"105681","DOI":"10.1016\/j.autcon.2024.105681","volume":"166","author":"K Banijamali","year":"2024","unstructured":"Banijamali K, Vosoughi P, Arce G, Noorvand H, Lamendola J, Hassan M, Kazemian A (2024) Automated strength monitoring of 3D printed structures via embedded sensors. Autom Constr 166:105681. https:\/\/doi.org\/10.1016\/j.autcon.2024.105681","journal-title":"Autom Constr"},{"key":"817_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cemconres.2022.106800","author":"V Mechtcherine","year":"2022","unstructured":"Mechtcherine V et al (2022) A roadmap for quality control of hardening and hardened printed concrete. Cem Concr Res. https:\/\/doi.org\/10.1016\/j.cemconres.2022.106800","journal-title":"Cem Concr Res"},{"key":"817_CR16","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.autcon.2019.01.022","volume":"101","author":"A Kazemian","year":"2019","unstructured":"Kazemian A, Yuan X, Davtalab O, Khoshnevis B (2019) Computer vision for real-time extrusion quality monitoring and control in robotic construction. Autom Constr 101:92\u201398. https:\/\/doi.org\/10.1016\/j.autcon.2019.01.022","journal-title":"Autom Constr"},{"key":"817_CR17","doi-asserted-by":"publisher","unstructured":". Banijamali K, Vosoughi P, Arce G, Noorvand H, Hassan M, Kazemian A (2024) Early-age strength monitoring of sensor-embedded 3D printed structures. In: Construction Research Congress 2024, 2024, pp 137\u2013147, https:\/\/doi.org\/10.1061\/9780784485262.015","DOI":"10.1061\/9780784485262.015"},{"issue":"6","key":"817_CR18","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1007\/s40964-023-00409-8","volume":"8","author":"A Baigarina","year":"2023","unstructured":"Baigarina A, Shehab E, Ali MH (2023) Construction 3D printing: a critical review and future research directions. Progress Addit Manuf 8(6):1393\u20131421","journal-title":"Progress Addit Manuf"},{"key":"817_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s40964-024-00622-z","author":"RA Mohamed","year":"2024","unstructured":"Mohamed RA, Mohamed AFA (2024) Exploring the environmental benefits of 3D printing technology in concrete construction; a review. Prog Addit Manuf. https:\/\/doi.org\/10.1007\/s40964-024-00622-z","journal-title":"Prog Addit Manuf"},{"issue":"3","key":"817_CR20","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1007\/s10845-020-01684-w","volume":"33","author":"O Davtalab","year":"2022","unstructured":"Davtalab O, Kazemian A, Yuan X, Khoshnevis B (2022) Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection. J Intell Manuf 33(3):771\u2013784","journal-title":"J Intell Manuf"},{"key":"817_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cemconres.2024.107646","volume":"185","author":"R Wolfs","year":"2024","unstructured":"Wolfs R et al (2024) On-line and in-line quality assessment across all scale levels of 3D concrete printing. Cem Concr Res 185:107646","journal-title":"Cem Concr Res"},{"key":"817_CR22","doi-asserted-by":"crossref","unstructured":"Sepasgozar SME, Wang CC, Shirowzhan S (2016) Challenges and opportunities for implementation of laser. In: 33rd International Symposium on automation and robotics in construction 2016","DOI":"10.22260\/ISARC2016\/0090"},{"key":"817_CR23","doi-asserted-by":"crossref","unstructured":"Catapang AN, Ramos M (2016) Obstacle detection using a 2D LIDAR system for an Autonomous Vehicle. In: 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2016","DOI":"10.1109\/ICCSCE.2016.7893614"},{"key":"817_CR24","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.isprsjprs.2020.11.004","volume":"171","author":"S Jia","year":"2021","unstructured":"Jia S, Liu C, Wu H, Zeng D, Ai M (2021) A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario. ISPRS J Photogramm Remote Sens 171:367\u2013384","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"817_CR25","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1061\/9780784485224.044","volume":"2023","author":"M Martin","year":"2024","unstructured":"Martin M, Banijamali K, Kazemian A (2024) Reality capture technologies for automated quality control during construction 3D printing. Comput Civ Eng 2023:361\u2013370. https:\/\/doi.org\/10.1061\/9780784485224.044","journal-title":"Comput Civ Eng"},{"issue":"2","key":"817_CR26","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.autcon.2005.01.008","volume":"15","author":"B Akinci","year":"2006","unstructured":"Akinci B, Boukamp F, Gordon C, Huber D, Lyons C, Park K (2006) A formalism for utilization of sensor systems and integrated project models for active construction quality control. Autom Constr 15(2):124\u2013138","journal-title":"Autom Constr"},{"key":"817_CR27","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.autcon.2011.10.003","volume":"22","author":"Y Turkan","year":"2012","unstructured":"Turkan Y, Bosche F, Haas CT, Haas R (2012) Automated progress tracking using 4D schedule and 3D sensing technologies. Autom Constr 22:414\u2013421","journal-title":"Autom Constr"},{"key":"817_CR28","doi-asserted-by":"publisher","first-page":"521","DOI":"10.5194\/isprs-archives-XLI-B5-521-2016","volume":"XLI-B5","author":"J Martinez-Sanchez","year":"2016","unstructured":"Martinez-Sanchez J, Puente I, GonzalezJorge H, Riveiro B, Arias P (2016) Automatic thickness and volume estimation of sprayed concrete on anchored retaining walls from terrestrial LiDAR data. Int Arch Photogramm Remote Sens Spatial Inform Sci XLI-B5:521\u2013526","journal-title":"Int Arch Photogramm Remote Sens Spatial Inform Sci"},{"key":"817_CR29","doi-asserted-by":"publisher","first-page":"102499","DOI":"10.1016\/j.addma.2021.102499","volume":"49","author":"SAO Nair","year":"2022","unstructured":"Nair SAO, Sant G, Neithalath N (2022) Mathematical morphology-based point cloud analysis techniques for geometry assessment of 3D printed concrete elements. Addit Manuf 49:102499. https:\/\/doi.org\/10.1016\/j.addma.2021.102499","journal-title":"Addit Manuf"},{"issue":"5","key":"817_CR30","doi-asserted-by":"publisher","first-page":"462","DOI":"10.3390\/rs9050462","volume":"9","author":"K Martins","year":"2017","unstructured":"Martins K, Bonneton P, Frappart F, Detandt G, Bonneton N, Blenkinsopp CE (2017) High frequency field measurements of an undular bore using a 2D LiDAR scanner. Remote Sens 9(5):462","journal-title":"Remote Sens"},{"key":"817_CR31","doi-asserted-by":"publisher","first-page":"108352","DOI":"10.1016\/j.ymssp.2021.108352","volume":"166","author":"MF Silva","year":"2022","unstructured":"Silva MF, Green A, Morales J, Meyerhofer P, Yang Y, Figueiredo E, Costa JCWA, Mascare\u00f1as D (2022) 3D structural vibration identification from dynamic point clouds. Mech Syst Signal Process 166:108352","journal-title":"Mech Syst Signal Process"},{"key":"817_CR32","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.procir.2022.02.163","volume":"106","author":"L Lachmayer","year":"2022","unstructured":"Lachmayer L, Recker T, Raatz A (2022) Contour tracking control for mobile robots applicable to large-scale assembly and additive manufacturing in construction. Proc CIRP 106:108\u2013113","journal-title":"Proc CIRP"},{"key":"817_CR33","doi-asserted-by":"publisher","first-page":"104626","DOI":"10.1016\/j.autcon.2022.104626","volume":"145","author":"L Lachmayer","year":"2023","unstructured":"Lachmayer L, B\u00f6hler D, Freund N, Mai I, Lowke D, Raatz A (2023) Modelling the influence of material and process parameters on Shotcrete 3D. Autom Constr 145:104626","journal-title":"Autom Constr"},{"issue":"3","key":"817_CR34","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.jksuci.2018.06.002","volume":"33","author":"A Bhargava","year":"2021","unstructured":"Bhargava A, Bansal A (2021) Fruits and vegetables quality evaluation using computer vision: a review. J King Saud Univ Comput Inform Sci 33(3):243\u2013257","journal-title":"J King Saud Univ Comput Inform Sci"},{"key":"817_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/8189403","volume":"2020","author":"A Rasheed","year":"2020","unstructured":"Rasheed A et al (2020) Fabric defect detection using computer vision techniques: a comprehensive review. Math Probl Eng 2020:1\u201324","journal-title":"Math Probl Eng"},{"issue":"10","key":"817_CR36","doi-asserted-by":"publisher","first-page":"6009","DOI":"10.3390\/su14106009","volume":"14","author":"M Park","year":"2022","unstructured":"Park M, Jeong J (2022) Design and implementation of machine vision-based quality inspection system in mask manufacturing process. Sustainability 14(10):6009","journal-title":"Sustainability"},{"key":"817_CR37","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.conbuildmat.2017.04.015","volume":"145","author":"A Kazemian","year":"2017","unstructured":"Kazemian A, Yuan X, Cochran E, Khoshnevis B (2017) Cementitious materials for construction-scale 3D printing: Laboratory testing of fresh printing mixture. Constr Build Mater 145:639\u2013647. https:\/\/doi.org\/10.1016\/j.conbuildmat.2017.04.015","journal-title":"Constr Build Mater"},{"key":"817_CR38","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/978-3-030-95798-8_12","volume-title":"Innovation in construction: a practical guide to transforming the construction industry","author":"A Kazemian","year":"2022","unstructured":"Kazemian A, Seylabi E, Ekenel M (2022) Concrete 3D printing: challenges and opportunities for the construction industry. In: Ghaffar SH, Mullett P, Pei E, Roberts J (eds) Innovation in construction: a practical guide to transforming the construction industry. Springer International Publishing, Cham, pp 277\u2013299 (ISBN: 978-3-030-95798-8)"},{"key":"817_CR39","unstructured":"Slamtec (2022) RPLIDAR A2M12. https:\/\/www.slamtec.ai\/wpcontent\/uploads\/2023\/11\/LD310_SLAMTEC_rplidar_datasheet_A2M12_v1.0_en.pdf"},{"key":"817_CR40","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s00170-009-2493-x","volume":"50","author":"N Vuka\u0161inovi\u0107","year":"2010","unstructured":"Vuka\u0161inovi\u0107 N, Bra\u010dun D, Mo\u017eina J, Duhovnik J (2010) The influence of incident angle, object colour and distance on CNC laser scanning. Int J Adv Manuf Technol 50:265\u2013274","journal-title":"Int J Adv Manuf Technol"},{"key":"817_CR41","doi-asserted-by":"crossref","unstructured":"Li Q, Dong S, Zhang D, Wang X (2020) Research on the Lidar-based recognition and location method for depalletizing targets. In: 2020 Chinese Automation Congress (CAC), 2020","DOI":"10.1109\/CAC51589.2020.9327723"},{"issue":"1","key":"817_CR42","doi-asserted-by":"publisher","first-page":"172988141875524","DOI":"10.1177\/1729881418755245","volume":"15","author":"H Gao","year":"2018","unstructured":"Gao H, Zhang X, Fang Y, Yuan J (2018) A line segment extraction algorithm using laser data based on seeded region growing. Int J Adv Robot Syst 15(1):172988141875524","journal-title":"Int J Adv Robot Syst"},{"key":"817_CR43","doi-asserted-by":"crossref","unstructured":"Pfister ST, Roumeliotis SI, Burdick JW (2003) Weighted line fitting algorithms for mobile robot map building and efficient data representation. In: 2003 IEEE International Conference on robotics and automation, 2003","DOI":"10.1109\/ROBOT.2003.1241772"},{"issue":"4","key":"817_CR44","first-page":"286","volume":"5","author":"S Rianmora","year":"2017","unstructured":"Rianmora S, Rangsiyangkoon M (2017) Alternative optical acquisition technique for supporting. Int J Mater Mech Manuf 5(4):286\u2013289","journal-title":"Int J Mater Mech Manuf"},{"key":"817_CR45","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.jbiomech.2015.11.015","volume":"49","author":"V Campanelli","year":"2016","unstructured":"Campanelli V, Howell SM, Hull ML (2016) Accuracy evaluation of a lower-cost and four higher-cost laser scanners. J Biomech 49:127\u2013131","journal-title":"J Biomech"},{"key":"817_CR46","doi-asserted-by":"crossref","unstructured":"M. Vogt, A. Rips, and C. Emmelmann, \"Comparison of iPad Pro\u00ae\u2019s LiDAR and TrueDepth Capabilities with an Industrial 3D Scanning Solution,\" Technologies, vol. 9, 2021.","DOI":"10.3390\/technologies9020025"},{"key":"817_CR47","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1515\/jag-2017-0034","volume":"12","author":"D Bolkas","year":"2018","unstructured":"Bolkas D, Martinez A (2018) Effect of target color and scanning geometry on terrestrial LiDAR point-cloud noise and plane fitting. J Appl Geodesy 12:109\u2013127","journal-title":"J Appl Geodesy"},{"key":"817_CR48","unstructured":"Boehler W, Vicent MB, Marbs A (2003) Investigating laser scanner accuracy. In: XIX CIPA SYMPOSIUM AT ANTALYA, TURKEY, 2003"},{"key":"817_CR49","doi-asserted-by":"crossref","unstructured":"Trierweiler M, Caldelas P, Groninger G, Peterseim T, Neumann C (2019) Influence of sensor blockage on automotive LiDAR systems. In: 2019 IEEE SENSORS, 2019","DOI":"10.1109\/SENSORS43011.2019.8956792"},{"key":"817_CR50","doi-asserted-by":"crossref","unstructured":"Heinzler R, Schindler P, Seekircher J, Ritter W, Stork W (2019) Weather influence and classification with automotive Lidar sensors. In: 2019 IEEE Intelligent Vehicles Symposium (IV), 2019","DOI":"10.1109\/IVS.2019.8814205"},{"key":"817_CR51","doi-asserted-by":"publisher","first-page":"5266","DOI":"10.3390\/s22145266","volume":"22","author":"C Linnhoff","year":"2022","unstructured":"Linnhoff C, Hofrichter K, Elster L, Rosenberger P, Winner H (2022) Measuring the Influence of Environmental Conditions on Automotive Lidar Sensors. Sensors 22:5266","journal-title":"Sensors"}],"container-title":["Progress in Additive Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40964-024-00817-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40964-024-00817-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40964-024-00817-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T19:44:41Z","timestamp":1748029481000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40964-024-00817-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,27]]},"references-count":51,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["817"],"URL":"https:\/\/doi.org\/10.1007\/s40964-024-00817-4","relation":{},"ISSN":["2363-9512","2363-9520"],"issn-type":[{"value":"2363-9512","type":"print"},{"value":"2363-9520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,27]]},"assertion":[{"value":"9 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}