{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T11:23:42Z","timestamp":1770290622664,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T00:00:00Z","timestamp":1681344000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T00:00:00Z","timestamp":1681344000000},"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":["Mach. Intell. Res."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11633-022-1403-7","type":"journal-article","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T17:03:04Z","timestamp":1681405384000},"page":"884-896","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multimodal Biometric Fusion Algorithm Based on Ranking Partition Collision Theory"],"prefix":"10.1007","volume":"20","author":[{"given":"Zhuorong","family":"Li","sequence":"first","affiliation":[]},{"given":"Yunqi","family":"Tang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,13]]},"reference":[{"issue":"8","key":"1403_CR1","doi-asserted-by":"publisher","first-page":"2673","DOI":"10.1016\/j.patcog.2014.01.016","volume":"47","author":"J A Unar","year":"2014","unstructured":"J. A. Unar, W. C. Seng, A. Abbasi. A review of biometric technology along with trends and prospects. Pattern Recognition, vol. 47, no. 8, pp. 2673\u20132688, 2014. DOI: https:\/\/doi.org\/10.1016\/j.patcog.2014.01.016.","journal-title":"Pattern Recognition"},{"issue":"6","key":"1403_CR2","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.11834\/jig.210078","volume":"26","author":"Z N Sun","year":"2021","unstructured":"Z. N. Sun, R. He, L. Wang, M. N. Kan, J. J. Feng, F. Zheng, W. S. Zheng, W. M. Zuo, W. X. Kang, W. H. Deng, J. Zhang, H. Han, S. G. Shan, Y. L. Wang, Y. W. Ru, Y. H. Zhu, Y. F. Liu, Y. He. Overview of biometrics research. Journal of Image and Graphics, vol. 26, no. 6, pp. 1254\u20131329, 2021. (in Chinese)","journal-title":"Journal of Image and Graphics"},{"issue":"3","key":"1403_CR3","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s11633-022-1327-2","volume":"19","author":"L Song","year":"2022","unstructured":"L. Song, J. F. Yang, Q. Z. Shang, M. A. Li. Dense face network: A dense face detector based on global context and visual attention mechanism. Machine Intelligence Research, vol. 19, no. 3, pp. 247\u2013256, 2022. DOI: KUOOr\/s11633-022-1327-2.","journal-title":"Machine Intelligence Research"},{"issue":"6","key":"1403_CR4","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1007\/s11633-021-1309-9","volume":"18","author":"L Y Xu","year":"2021","unstructured":"L. Y. Xu, Z. Gajic. Improved network for face recognition based on feature super resolution method. International Journal of Automation and Computing, vol. 18, no. 6, pp. 915\u2013925, 2021. DOI: https:\/\/doi.org\/10.1007\/s11633-021-1309-9.","journal-title":"International Journal of Automation and Computing"},{"key":"1403_CR5","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.forsciint.2019.110124","volume":"307","author":"M Jacquet","year":"2020","unstructured":"M. Jacquet, C. Champod. Automated face recognition in forensic science: Review and perspectives. Forensic Science International, vol 307, pp. 110\u2013124, 2020. DOI: https:\/\/doi.org\/10.1016\/j.forsciint.2019.110124.","journal-title":"Forensic Science International"},{"issue":"9","key":"1403_CR6","doi-asserted-by":"publisher","first-page":"4979","DOI":"10.1109\/TNNLS.2021.3066381","volume":"33","author":"L Fei","year":"2021","unstructured":"L. Fei, B. Zhang, Y. Xu, C. Tian, D. Zhang. Jointly heterogeneous palmprint discriminant feature learning. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 9, pp. 4979\u20134990, 2021. DOI: https:\/\/doi.org\/10.1109\/TNNLS.2021.3066381.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"10","key":"1403_CR7","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/34.464560","volume":"17","author":"R Brunelli","year":"1995","unstructured":"R. Brunelli, D. Falavigna. Person identification using multiple cues. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 955\u2013966, 1995. DOI: https:\/\/doi.org\/10.1109\/34.464560.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1403_CR8","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/BFb0016008","volume-title":"Expert conciliation for multi modal person authentication systems by Bayesian statistics","author":"E S Big\u00fcn","year":"1997","unstructured":"E. S. Big\u00fcn, J. Big\u00fcn, B. Duc, S. Fischer. Expert conciliation for multi modal person authentication systems by Bayesian statistics. In Proceedings of the 1st International Conferences on Audio-based and Video-based Biometric Person Authentication, Springer, Crans-Montana, Switzerland, pp. 291\u2013300, 1997. DOI: https:\/\/doi.org\/10.1007\/BFb0016008."},{"key":"1403_CR9","doi-asserted-by":"publisher","unstructured":"P. Verlinde, G. Chollet. Combining vocal and visual cues in an identity verification system using K-NN based classifiers. In Proceedings of the 2nd IEEE Workshop on Multimedia Signal Processing, Redondo Beach, USA, pp. 59\u201364, 1998. DOI: https:\/\/doi.org\/10.1109\/MMSP.1998.738913.","DOI":"10.1109\/MMSP.1998.738913"},{"issue":"13","key":"1403_CR10","doi-asserted-by":"publisher","first-page":"2115","DOI":"10.1016\/S0167-8655(03)00079-5","volume":"24","author":"A Ross","year":"2003","unstructured":"A. Ross, A. Jain. Information fusion in biometrics. Pattern Recognition Letters, vol. 24, no. 13, pp. 2115\u20132125, 2003. DOI: https:\/\/doi.org\/10.1016\/S0167-8655(03)00079-5.","journal-title":"Pattern Recognition Letters"},{"issue":"3","key":"1403_CR11","doi-asserted-by":"publisher","first-page":"471","DOI":"10.16183\/j.cnki.jsjtu.2006.03.024","volume":"40","author":"Y L Zhang","year":"2006","unstructured":"Y. L. Zhang, J. Yang, H. T. Wu, Y. F. Xue. Swipe fingerprint sequences mosaicking based on the extension of phase-correlation. Journal of Shanghai Jiaotong University, vol. 40, no. 3, pp. 471\u2013475, 2006. DOI: https:\/\/doi.org\/10.16183\/j.cnki.jsjtu.2006.03.024. (in Chinese)","journal-title":"Journal of Shanghai Jiaotong University"},{"key":"1403_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.351","volume-title":"Fusion of visual and thermal signatures with eyeglass removal for robust face recognition","author":"J G Heo","year":"2004","unstructured":"J. G. Heo, S. G. Kong, B. R. Abidi, M. A. Abidi. Fusion of visual and thermal signatures with eyeglass removal for robust face recognition. In Proceedings of Conference on Computer Vision and Pattern Recognition Workshop, IEEE, Washington DC, USA, 2004. DOI: https:\/\/doi.org\/10.1109\/CVPR.2004.351."},{"issue":"4","key":"1403_CR13","doi-asserted-by":"publisher","first-page":"456","DOI":"10.3969\/j.issn.1005-202X.2020.04.011","volume":"37","author":"X L Ning","year":"2020","unstructured":"X. L. Ning, Z. X. Chen. Face panoramic image mosaic algorithm for face diagnosis. Chinese Journal of Medical Physics, vol. 37, no. 4, pp. 456\u2013462, 2020. DOI: https:\/\/doi.org\/10.3969\/j.issn.1005-202X.2020.04.011. (in Chinese)","journal-title":"Chinese Journal of Medical Physics"},{"key":"1403_CR14","doi-asserted-by":"publisher","first-page":"2414","DOI":"10.1109\/CVPRW.2019.00296","volume-title":"Multimodal age and gender classification using ear and profile face images","author":"D Yaman","year":"2019","unstructured":"D. Yaman, F. I. Eyiokur, H. K. Ekenel. Multimodal age and gender classification using ear and profile face images. In Proceedings of IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, IEEE, Long Beach, USA, pp. 2414\u20132421, 2019. DOI: https:\/\/doi.org\/10.1109\/CVPRW.2019.00296."},{"key":"1403_CR15","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1007\/978-3-642-01793-3_97","volume-title":"Robust multi-modal and multi-unit feature level fusion of face and iris biometrics","author":"A Rattani","year":"2009","unstructured":"A. Rattani, M. Tistarelli. Robust multi-modal and multi-unit feature level fusion of face and iris biometrics. In Proceedings of the 3rd International Conferences on Advances in Biometrics, Springer, Alghero, Italy, pp. 960\u2013969, 2009. DOI: https:\/\/doi.org\/10.1007\/978-3-642-01793-3_97."},{"key":"1403_CR16","doi-asserted-by":"publisher","first-page":"5267","DOI":"10.1109\/CCDC49329.2020.9164733","volume-title":"Multilevel feature fusion facial expression recognition network","author":"Q Hu","year":"2020","unstructured":"Q. Hu, C. D. Wu, J. N. Chi, X. S. Yu, H. Wang. Multilevel feature fusion facial expression recognition network. In Proceedings of Chinese Control and Decision Conference, IEEE, Hefei, China, pp. 5267\u20135272, 2020. DOI: https:\/\/doi.org\/10.1109\/CCDC49329.2020.9164733."},{"issue":"1","key":"1403_CR17","doi-asserted-by":"publisher","first-page":"110","DOI":"10.11713\/j.issn.1009-4822.2020.01.024","volume":"21","author":"J Kong","year":"2020","unstructured":"J. Kong. Biometric identification based on two-layer feature fusion. Journal of Beihua University (Natural Science), vol. 21, no. 1, pp. 110\u2013117, 2020. DOI: https:\/\/doi.org\/10.11713\/j.issn.1009-4822.2020.01.024. (in Chinese)","journal-title":"Journal of Beihua University (Natural Science)"},{"key":"1403_CR18","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/ICACDOT.2016.7877702","volume-title":"Score level fusion based Multimodal biometric identification using Thepade\u2019s sorted ternary block truncation coding with variod proportion of iris, palmprint, left fingerprint & right fingerprint with asorted similarity measures & different colorspaces","author":"M S Madane","year":"2016","unstructured":"M. S. Madane, S. D. Thepade. Score level fusion based Multimodal biometric identification using Thepade\u2019s sorted ternary block truncation coding with variod proportion of iris, palmprint, left fingerprint & right fingerprint with asorted similarity measures & different colorspaces. In Proceedings of International Conference on Automatic Control and Dynamic Optimization Techniques, IEEE, Pune, India, pp. 824\u2013828, 2016. DOI: https:\/\/doi.org\/10.1109\/ICACDOT.2016.7877702."},{"issue":"2","key":"1403_CR19","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPAMI.2007.70796","volume":"30","author":"K Nandakumar","year":"2008","unstructured":"K. Nandakumar, Y. Chen, S. C. Dass, A. Jain. Likelihood ratio-based biometric score fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 342\u2013347, 2008. DOI: https:\/\/doi.org\/10.1109\/TPAMI.2007.70796.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"1403_CR20","doi-asserted-by":"publisher","first-page":"441","DOI":"10.11996\/JG.j.2095-302X.2019030441","volume":"40","author":"H A Li","year":"2019","unstructured":"H. A. Li, Z. M. Du, Z. L. Li, Q. J. Hui, J. H. Bai. Research on gait recognition algorithm based on double features using the layer matching fusion method. Journal of Graphics, vol. 40, no. 3, pp. 441\u2013446, 2019. DOI: https:\/\/doi.org\/10.11996\/JG.j.2095-302X.2019030441. (in Chinese)","journal-title":"Journal of Graphics"},{"issue":"3","key":"1403_CR21","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001413560041","volume":"27","year":"2013","unstructured":"M. Eskandari, \u00d6. Toygar, H. Demirel. A new approach for face-iris multimodal biometric recognition using score fusion. International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, no. 3, Article number 1356004, 2013. DOI: https:\/\/doi.org\/10.1142\/S0218001413560041.","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"issue":"12","key":"1403_CR22","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1109\/34.735803","volume":"20","author":"L Hong","year":"1998","unstructured":"L. Hong, A. Jain. Integrating faces and fingerprints for personal identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 12, pp. 1295\u20131307, 1998. DOI: https:\/\/doi.org\/10.1109\/34.735803.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"12","key":"1403_CR23","doi-asserted-by":"publisher","first-page":"2270","DOI":"10.1016\/j.patcog.2005.01.012","volume":"38","author":"A Jain","year":"2005","unstructured":"A. Jain, K. Nandakumar, A. Ross. Score normalization in multimodal biometric systems. Pattern Recognition, vol. 38, no. 12, pp. 2270\u20132285, 2005. DOI: https:\/\/doi.org\/10.1016\/j.patcog.2005.01.012.","journal-title":"Pattern Recognition"},{"issue":"3","key":"1403_CR24","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1016\/j.patcog.2007.06.028","volume":"41","author":"F Alsaade","year":"2008","unstructured":"F. Alsaade, A. M. Ariyaeeinia, A. S. Malegaonkar, M. Pawlewski, S. G. Pillay. Enhancement of multimodal biometric segregation using unconstrained cohort normalisation. Pattern Recognition, vol. 41, no. 3, pp. 814\u2013820, 2008. DOI: https:\/\/doi.org\/10.1016\/j.patcog.2007.06.028.","journal-title":"Pattern Recognition"},{"key":"1403_CR25","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/3-540-44887-X_93","volume-title":"Combining face and iris biometrics for identity verification","author":"Y H Wang","year":"2003","unstructured":"Y. H. Wang, T. N. Tan, A. K. Jain. Combining face and iris biometrics for identity verification. In Proceedings of the 4th International Conferences on Audio-based and Video-based Biometric Person Authentication, Springer, Guildford, UK, pp. 805\u2013813, 2003. DOI: https:\/\/doi.org\/10.1007\/3-540-44887-X_93."},{"issue":"4","key":"1403_CR26","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/TIFS.2008.2004287","volume":"3","author":"S Tulyakov","year":"2008","unstructured":"S. Tulyakov, V. Govindaraju. Use of identification trial statistics for the combination of biometric matchers. IEEE Transactions on Information Forensics and Security, vol. 3, no. 4, pp. 719\u2013733, 2008. DOI: https:\/\/doi.org\/10.1109\/TIFS.2008.2004287.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"issue":"1","key":"1403_CR27","doi-asserted-by":"publisher","first-page":"59","DOI":"10.2478\/s11772-008-0054-8","volume":"17","author":"F Wang","year":"2009","unstructured":"F. Wang, J. Han. Multimodal biometric authentication based on score level fusion using support vector machine. Opto-electronics Review, vol. 17, no. 1, pp. 59\u201364, 2009. DOI: https:\/\/doi.org\/10.2478\/s11772-008-0054-8.","journal-title":"Opto-electronics Review"},{"issue":"6","key":"1403_CR28","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s11760-012-0411-4","volume":"8","author":"M Eskandari","year":"2014","unstructured":"M. Eskandari, \u00d6. Toygar. Fusion of face and iris biometrics using local and global feature extraction methods. Signal, Image and Video Processing, vol. 8, no. 6, pp. 995\u20131006, 2014. DOI: https:\/\/doi.org\/10.1007\/s11760-012-0411-4.","journal-title":"Signal, Image and Video Processing"},{"key":"1403_CR29","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.inffus.2016.02.003","volume":"32","author":"M B Y\u0131lmaz","year":"2016","unstructured":"M. B. Y\u0131lmaz, B. Yan\u0131ko\u011flu. Score level fusion of classifiers in off-line signature verification. Information Fusion, vol. 32, pp. 109\u2013119, 2016. DOI: https:\/\/doi.org\/10.1016\/j.inffus.2016.02.003.","journal-title":"Information Fusion"},{"issue":"1","key":"1403_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/13682199.2015.1104067","volume":"64","author":"J Aravinth","year":"2016","unstructured":"J. Aravinth, S. Valarmathy. Multi classifier-based score level fusion of multi-modal biometric recognition and its application to remote biometrics authentication. The Imaging Science Journal, vol. 64, no. 1, pp. 1\u201314, 2016. DOI: https:\/\/doi.org\/10.1080\/13682199.2015.1104067.","journal-title":"The Imaging Science Journal"},{"key":"1403_CR31","doi-asserted-by":"publisher","unstructured":"G. H. Supreetha, H. G. Kumar, M. Imran. Multimodal biometric verification system: Evaluation of various score level fusion rules. In Proceedings of IEEE International Conference on Electrical, Computer and Communication Technologies, Coimbatore, India, pp. 1\u20134, 2019. DOI: https:\/\/doi.org\/10.1109\/ICECCT.2019.8869429.","DOI":"10.1109\/ICECCT.2019.8869429"},{"key":"1403_CR32","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1007\/978-3-642-01793-3_76","volume-title":"Fusion in multibiometric identification systems: What about the missing data?","author":"K Nandakumar","year":"2009","unstructured":"K. Nandakumar, A. K. Jain, A. Ross. Fusion in multibiometric identification systems: What about the missing data? In Proceedings of the 3rd International Conferences on Advances in Biometrics, Springer, Alghero, Italy, pp. 743\u2013752, 2009. DOI: https:\/\/doi.org\/10.1007\/978-3-642-01793-3_76."},{"issue":"23","key":"1403_CR33","doi-asserted-by":"publisher","first-page":"6891","DOI":"10.1016\/j.ijleo.2014.07.027","volume":"125","author":"J L Peng","year":"2014","unstructured":"J. L. Peng, A. A. A. El-Latif, Q. Li, X. M. Niu. Multimodal biometric authentication based on score level fusion of finger biometrics. Optik, vol. 125, no. 23, pp. 6891\u20136897, 2014. DOI: https:\/\/doi.org\/10.1016\/j.ijleo.2014.07.027.","journal-title":"Optik"},{"key":"1403_CR34","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.neucom.2018.12.015","volume":"332","author":"K Su","year":"2019","unstructured":"K. Su, G. P. Yang, B. Wu, L. Yang, D. F. Li, P. Su, Y. L. Yin. Human identification using finger vein and ECG signals. Neurocomputing, vol. 332, pp. 111\u2013118, 2019. DOI: https:\/\/doi.org\/10.1016\/j.neucom.2018.12.015.","journal-title":"Neurocomputing"},{"issue":"3","key":"1403_CR35","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TPAMI.2005.57","volume":"27","author":"R Snelick","year":"2005","unstructured":"R. Snelick, U. Uludag, A. Mink, M. Indovina, A. Jain. Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 450\u2013455, 2005. DOI: https:\/\/doi.org\/10.1109\/TPAMI.2005.57.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1403_CR36","unstructured":"CASIA database, 2016. [Online], Available: http:\/\/english.ia.cas.cn\/db\/201611\/t20161101_169922.html, March 6, 2023."},{"key":"1403_CR37","doi-asserted-by":"publisher","first-page":"10487","DOI":"10.1109\/CVPR46437.2021.01035","volume-title":"WebFace260M: A benchmark unveiling the power of million-scale deep face recognition","author":"Z Zhu","year":"2021","unstructured":"Z. Zhu, G. Huang, J. Deng, et al. WebFace260M: A benchmark unveiling the power of million-scale deep face recognition. In Proceedings of IEEE\/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Nashville, USA, pp. 10487\u201310497, 2021. DOI: https:\/\/doi.org\/10.1109\/CVPR46437.2021.01035."}],"container-title":["Machine Intelligence Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-022-1403-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11633-022-1403-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-022-1403-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T07:25:36Z","timestamp":1729236336000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11633-022-1403-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,13]]},"references-count":37,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["1403"],"URL":"https:\/\/doi.org\/10.1007\/s11633-022-1403-7","relation":{},"ISSN":["2731-538X","2731-5398"],"issn-type":[{"value":"2731-538X","type":"print"},{"value":"2731-5398","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,13]]},"assertion":[{"value":"22 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declared that they have no conflicts of interest to this work.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations of conflict of interest"}}]}}