{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T04:04:10Z","timestamp":1778385850202,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Special Foundation for Beijing Tianjin Hebei Basic Research Cooperation","award":["J210008, H2021202008"],"award-info":[{"award-number":["J210008, H2021202008"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]},{"name":"the Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory","award":["IMDBD202105"],"award-info":[{"award-number":["IMDBD202105"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s11227-024-06128-3","type":"journal-article","created":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T14:48:10Z","timestamp":1714574890000},"page":"17711-17740","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization"],"prefix":"10.1007","volume":"80","author":[{"given":"Ya","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yazhong","family":"Si","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yipu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yatong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,1]]},"reference":[{"key":"6128_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2020.102177","volume":"92","author":"Y Shendryk","year":"2020","unstructured":"Shendryk Y, Sofonia J, Garrard R, Rist Y, Skocaj D, Thorburn P (2020) Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging. Int J Appl Earth Observ Geoinf 92:102177. https:\/\/doi.org\/10.1016\/j.jag.2020.102177","journal-title":"Int J Appl Earth Observ Geoinf"},{"issue":"1","key":"6128_CR2","doi-asserted-by":"publisher","first-page":"7","DOI":"10.5281\/zenodo.8062292","volume":"10","author":"A Budiyono","year":"2023","unstructured":"Budiyono A, Higashino SI (2023) A review of the latest innovations in UAV technology. J Instrument Autom Syst 10(1):7\u201316. https:\/\/doi.org\/10.5281\/zenodo.8062292","journal-title":"J Instrument Autom Syst"},{"key":"6128_CR3","doi-asserted-by":"crossref","unstructured":"ZHANG J (2021) Review of the light-weighted and small UAV system for aerial photography and remote sensing. National Remote Sens Bull 25(3):708-724. https:\/\/doi.org\/10.11834\/jrs.20210052","DOI":"10.11834\/jrs.20210052"},{"issue":"4","key":"6128_CR4","doi-asserted-by":"publisher","first-page":"85","DOI":"10.3390\/drones6040085","volume":"6","author":"A Gupta","year":"2022","unstructured":"Gupta A, Fernando X (2022) Simultaneous localization and mapping (slam) and data fusion in unmanned aerial vehicles: recent advances and challenges. Drones 6(4):85. https:\/\/doi.org\/10.3390\/drones6040085","journal-title":"Drones"},{"key":"6128_CR5","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.isprsjprs.2021.08.020","volume":"180","author":"T Zhou","year":"2021","unstructured":"Zhou T, Hasheminasab SM, Habib A (2021) Tightly-coupled camera\/LiDAR integration for point cloud generation from GNSS\/INS-assisted UAV mapping systems. ISPRS J Photogram Remote Sens 180:336\u2013356. https:\/\/doi.org\/10.1016\/j.isprsjprs.2021.08.020","journal-title":"ISPRS J Photogram Remote Sens"},{"key":"6128_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.petrol.2021.109633","volume":"208","author":"S Asadzadeh","year":"2022","unstructured":"Asadzadeh S, de Oliveira WJ, de Souza Filho CR (2022) UAV-based remote sensing for the petroleum industry and environmental monitoring: state-of-the-art and perspectives. J Petrol Sci Eng 208:109633. https:\/\/doi.org\/10.1016\/j.petrol.2021.109633","journal-title":"J Petrol Sci Eng"},{"issue":"4","key":"6128_CR7","doi-asserted-by":"publisher","first-page":"2918","DOI":"10.1016\/10.1109\/JIOT.2021.3095494","volume":"9","author":"M Pan","year":"2021","unstructured":"Pan M, Chen C, Yin X, Huang Z (2021) UAV-aided emergency environmental monitoring in infrastructure-less areas: LoRa mesh networking approach. IEEE Internet Things J 9(4):2918\u20132932. https:\/\/doi.org\/10.1016\/10.1109\/JIOT.2021.3095494","journal-title":"IEEE Internet Things J"},{"issue":"5","key":"6128_CR8","doi-asserted-by":"publisher","first-page":"4825","DOI":"10.1109\/TVT.2022.3151729","volume":"71","author":"J Dong","year":"2022","unstructured":"Dong J, Ren X, Han S, Luo S (2022) UAV vision aided INS\/odometer integration for land vehicle autonomous navigation. IEEE Trans Veh Technol 71(5):4825\u20134840. https:\/\/doi.org\/10.1109\/TVT.2022.3151729","journal-title":"IEEE Trans Veh Technol"},{"key":"6128_CR9","doi-asserted-by":"crossref","unstructured":"Chaturvedi SK, Sekhar R, Banerjee S, Kamal H (2019) Comparative review study of military and civilian unmanned aerial vehicles (UAVs). INCAS Bull 11(3):183-198. https:\/\/doi.org\/10.13111\/2066-8201.2019.11.3.16","DOI":"10.13111\/2066-8201.2019.11.3.16"},{"key":"6128_CR10","doi-asserted-by":"crossref","unstructured":"Deng L, He Y, Liu Q (2019) Research on application of fire uumanned aerial vehicles in emergency rescue. 2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE), pp 1\u20135. https:\/\/doi.org\/10.1109\/ICFSFPE48751.2019.9055875","DOI":"10.1109\/ICFSFPE48751.2019.9055875"},{"issue":"1","key":"6128_CR11","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/LRA.2021.3125039","volume":"7","author":"V Lippiello","year":"2021","unstructured":"Lippiello V, Cacace J (2021) Robust visual localization of a uav over a pipe-rack based on the lie group se (3). IEEE Robot Autom Lett 7(1):295\u2013302. https:\/\/doi.org\/10.1109\/LRA.2021.3125039","journal-title":"IEEE Robot Autom Lett"},{"issue":"8","key":"6128_CR12","doi-asserted-by":"publisher","first-page":"498","DOI":"10.3390\/drones7080498","volume":"7","author":"Y Guo","year":"2023","unstructured":"Guo Y, Zhou Y, Yang F (2023) AGCosPlace: a UAV visual positioning algorithm based on transformer. Drones 7(8):498. https:\/\/doi.org\/10.3390\/drones7080498","journal-title":"Drones"},{"key":"6128_CR13","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.inffus.2021.02.012","volume":"73","author":"X Jiang","year":"2021","unstructured":"Jiang X, Ma J, Xiao G, Shao Z, Guo X (2021) A review of multimodal image matching: methods and applications. Inf Fusion 73:22\u201371. https:\/\/doi.org\/10.1016\/j.inffus.2021.02.012","journal-title":"Inf Fusion"},{"key":"6128_CR14","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s11263-020-01359-2","volume":"129","author":"J Ma","year":"2021","unstructured":"Ma J, Jiang X, Fan A, Jiang J, Yan J (2021) Image matching from handcrafted to deep features: a survey. Int J Comput Vis 129:23\u201379. https:\/\/doi.org\/10.1007\/s11263-020-01359-2","journal-title":"Int J Comput Vis"},{"issue":"3","key":"6128_CR15","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1237\/3\/032020","volume":"1237","author":"C Luo","year":"2019","unstructured":"Luo C, Yang W, Huang P, Zhou J (2019) Overview of image matching based on ORB algorithm. Int J Phys Conf Ser 1237(3):032020. https:\/\/doi.org\/10.1088\/1742-6596\/1237\/3\/032020","journal-title":"J Phys Conf Ser"},{"issue":"1","key":"6128_CR16","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2037\/1\/012122","volume":"2037","author":"S Wang","year":"2021","unstructured":"Wang S, Guo Z, Liu Y (2021) An image matching method based on sift feature extraction and FLANN search algorithm improvement. J Phys Conf Ser 2037(1):012122. https:\/\/doi.org\/10.1088\/1742-6596\/2037\/1\/012122","journal-title":"J Phys Conf Ser"},{"key":"6128_CR17","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1007\/s11554-019-00858-x","volume":"17","author":"Q Zeng","year":"2020","unstructured":"Zeng Q, Adu J, Liu J, Yang J, Xu Y, Gong M (2020) Real-time adaptive visible and infrared image registration based on morphological gradient and C_SIFT. J Real Time Image Process 17:1103\u20131115","journal-title":"J Real Time Image Process"},{"issue":"10","key":"6128_CR18","doi-asserted-by":"publisher","first-page":"5283","DOI":"10.1109\/TGRS.2015.2420659","volume":"53","author":"A Sedaghat","year":"2015","unstructured":"Sedaghat A, Ebadi H (2015) Remote sensing image matching based on adaptive binning SIFT descriptor. IEEE Trans Geosci Remote Sens 53(10):5283\u20135293. https:\/\/doi.org\/10.1109\/TGRS.2015.2420659","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"02","key":"6128_CR19","first-page":"251","volume":"49","author":"Z Jiang","year":"2019","unstructured":"Jiang Z, Liu X, Wang Q (2019) Visible and infrared image registration algorithm based on saliency and ORB. Laser Infrared 49(02):251\u2013256","journal-title":"Laser Infrared"},{"issue":"11","key":"6128_CR20","doi-asserted-by":"publisher","first-page":"9059","DOI":"10.1109\/TGRS.2019.2924684","volume":"57","author":"Y Ye","year":"2019","unstructured":"Ye Y, Bruzzone L, Shan J, Bovolo F, Zhu Q (2019) Fast and robust matching for multimodal remote sensing image registration. IEEE Trans Geosci Remote Sens 57(11):9059\u20139070. https:\/\/doi.org\/10.1109\/TGRS.2019.2924684","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"4","key":"6128_CR21","doi-asserted-by":"publisher","first-page":"308","DOI":"10.5589\/m13-039","volume":"39","author":"C Zeng","year":"2013","unstructured":"Zeng C, Wang J, Shi P (2013) A stereo image matching method to improve the DSM accuracy inside building boundaries. Can J Remote Sens 39(4):308\u2013317. https:\/\/doi.org\/10.5589\/m13-039","journal-title":"Can J Remote Sens"},{"key":"6128_CR22","doi-asserted-by":"publisher","first-page":"5147","DOI":"10.1109\/TIP.2020.2980972","volume":"29","author":"SY Cao","year":"2020","unstructured":"Cao SY, Shen HL, Chen SJ, Li C (2020) Boosting structure consistency for multispectral and multimodal image registration. IEEE Trans Image Process 29:5147\u20135162.","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"6128_CR23","doi-asserted-by":"publisher","first-page":"6587","DOI":"10.1109\/TGRS.2016.2587321","volume":"54","author":"ML Uss","year":"2016","unstructured":"Uss ML, Vozel B, Lukin VV, Chehdi K (2016) Multimodal remote sensing image registration with accuracy estimation at local and global scales. IEEE Trans Geosci Remote Sens 54(11):6587\u20136605.","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"6128_CR24","doi-asserted-by":"crossref","unstructured":"DeTone D, Malisiewicz T, Rabinovich A (2018) Superpoint: Self-supervised interest point detection and description. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp 224\u2013236. https:\/\/doi.org\/10.48550\/arXiv.1712.07629","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"6128_CR25","doi-asserted-by":"crossref","unstructured":"Sarlin PE, DeTone D, Malisiewicz T, Rabinovich A (2020) Superglue: Learning feature matching with graph neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer vision and Pattern Recognition, pp 4938\u20134947.","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"6128_CR26","unstructured":"Lan C, Lu W, Yu J, Xu Q (2021) Deep Learning algorithm for feature matching of cross modality remote sensing images. Acta Geodaetica et Cartographica Sinica 50(2):189-202."},{"key":"6128_CR27","doi-asserted-by":"publisher","unstructured":"Guo Y, Zhou Y, Yang F (2023) UAV scale enhanced cross-modality graph matching net-USCMGM-net. Multimedia Tools Appl, pp 1\u201320. https:\/\/doi.org\/10.1007\/s11042-023-16103-4","DOI":"10.1007\/s11042-023-16103-4"},{"key":"6128_CR28","doi-asserted-by":"crossref","unstructured":"Zhou Y, Guo Y, Lin KP, Yang F, Li L (2023) USuperGlue: an unsupervised UAV image matching network based on local self-attention. Soft Comput, pp 1\u201321.","DOI":"10.1007\/s00500-023-09088-7"},{"key":"6128_CR29","doi-asserted-by":"crossref","unstructured":"Zheng Z, Wei Y, Yang Y (2020) University-1652: A multi-view multi-source benchmark for drone-based geo-localization. In Proceedings of the 28th ACM International Conference on Multimedia, pp 1395\u20131403. https:\/\/doi.org\/10.1145\/3394171.3413896","DOI":"10.1145\/3394171.3413896"},{"key":"6128_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2021.3135544","volume":"71","author":"Z Wang","year":"2021","unstructured":"Wang Z, Liu S, Chen G, Dong W (2021) Robust visual positioning of the UAV for the under bridge inspection with a ground guided vehicle. IEEE Trans Instrument Measure 71:1\u201310. https:\/\/doi.org\/10.1109\/TIM.2021.3135544","journal-title":"IEEE Trans Instrument Measure"},{"key":"6128_CR31","doi-asserted-by":"crossref","unstructured":"Sun J, Shen Z, Wang Y, Bao H, Zhou X (2021) LoFTR: Detector-free local feature matching with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 8922-8931. https:\/\/doi.org\/https:\/\/doi.org\/10.48550\/arXiv.2104.00680","DOI":"10.1109\/CVPR46437.2021.00881"},{"issue":"11","key":"6128_CR32","doi-asserted-by":"publisher","first-page":"11892","DOI":"10.1109\/JSEN.2023.3266392","volume":"23","author":"S Zhuang","year":"2023","unstructured":"Zhuang S, Zhao Z, Cao L, Wang D, Fu C, Du K (2023) A robust and fast method to the perspective-n-point problem for camera pose estimation. IEEE Sens J 23(11):11892\u201311906.","journal-title":"IEEE Sens J"},{"key":"6128_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.111225","volume":"152","author":"A Charroud","year":"2024","unstructured":"Charroud A, El Moutaouakil K, Palade V, Yahyaouy A (2024) Enhanced autoencoder-based lidar localization in self-driving vehicles. Appl Soft Comput 152:111225. https:\/\/doi.org\/10.1016\/j.asoc.2023.111225","journal-title":"Appl Soft Comput"},{"key":"6128_CR34","doi-asserted-by":"crossref","unstructured":"Charroud A, Yahyaouy A, El Moutaouakil K, Onyekpe U (2022) Localisation and mapping of self-driving vehicles based on fuzzy K-means clustering: a non-semantic approach. In: 2022 International Conference on Intelligent Systems and Computer Vision (ISCV). IEEE, pp 1\u20138.","DOI":"10.1109\/ISCV54655.2022.9806102"},{"issue":"7","key":"6128_CR35","doi-asserted-by":"publisher","first-page":"4376","DOI":"10.1109\/TCSVT.2021.3135013","volume":"32","author":"M Dai","year":"2021","unstructured":"Dai M, Hu J, Zhuang J, Zheng E (2021) A transformer-based feature segmentation and region alignment method for uav-view geo-localization. IEEE Trans Circuits Syst Video Technol 32(7):4376\u20134389. https:\/\/doi.org\/10.1109\/TCSVT.2021.3135013","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"6128_CR36","doi-asserted-by":"publisher","unstructured":"Dai M, Zheng E, Feng Z, Qi L, Zhuang J, Yang W (2023) Vision-based UAV self-positioning in low-altitude urban environments. IEEE Trans Image Process, pp 1\u201313. https:\/\/doi.org\/10.1109\/TIP.2023.3346279","DOI":"10.1109\/TIP.2023.3346279"},{"key":"6128_CR37","doi-asserted-by":"crossref","unstructured":"Berton G, Masone C, Caputo B (2022) Rethinking visual geo-localization for large-scale applications. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 4878\u20134888. https:\/\/doi.org\/10.48550\/arXiv.2204.02287","DOI":"10.1109\/CVPR52688.2022.00483"},{"key":"6128_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2020.103666","volume":"135","author":"A Couturier","year":"2021","unstructured":"Couturier A, Akhloufi MA (2021) A review on absolute visual localization for UAV. Robot Autonom Syst 135:103666. https:\/\/doi.org\/10.1016\/j.robot.2020.103666","journal-title":"Robot Autonom Syst"},{"key":"6128_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3359605","volume":"62","author":"Z Wang","year":"2024","unstructured":"Wang Z, Shi D, Qiu C, Jin S, Li T, Shi Y, Liu Z, Qiao Z (2024) Sequence matching for Image-Based UAV-to-Satellite Geolocalization. IEEE Trans Geosci Remote Sens 62:1\u201315. https:\/\/doi.org\/10.1109\/TGRS.2024.3359605","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"6128_CR40","doi-asserted-by":"crossref","unstructured":"Pan S, Wang X (2021) A survey on perspective-n-point problem. In: 2021 40th Chinese Control Conference (CCC). IEEE, pp 2396\u20132401. https:\/\/doi.org\/10.23919\/CCC52363.2021.9549863","DOI":"10.23919\/CCC52363.2021.9549863"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-06128-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-024-06128-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-024-06128-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T12:17:46Z","timestamp":1720441066000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-024-06128-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,1]]},"references-count":40,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["6128"],"URL":"https:\/\/doi.org\/10.1007\/s11227-024-06128-3","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,1]]},"assertion":[{"value":"8 April 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 May 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 declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical and informed consent for data used"}}]}}