{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:06:17Z","timestamp":1774541177598,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62177022"],"award-info":[{"award-number":["62177022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901165"],"award-info":[{"award-number":["61901165"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61501199"],"award-info":[{"award-number":["61501199"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s00034-024-02787-y","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T21:05:15Z","timestamp":1722027915000},"page":"7173-7201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Discriminative Component Analysis Enhanced Feature Fusion of Electrical Network Frequency for Digital Audio Tampering Detection"],"prefix":"10.1007","volume":"43","author":[{"given":"Chunyan","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6960-509X","authenticated-orcid":false,"given":"Zhifeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhao","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangkui","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,26]]},"reference":[{"key":"2787_CR1","doi-asserted-by":"crossref","unstructured":"D. Capoferri, C. Borrelli, P. Bestagini, Speech audio splicing detection and localization exploiting reverberation cues, in Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS) (2020), pp. 1\u20136","DOI":"10.1109\/WIFS49906.2020.9360900"},{"key":"2787_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111077","volume":"281","author":"Z Chen","year":"2023","unstructured":"Z. Chen, M. Lin, Z. Wang, Q. Zheng, C. Liu, Spatio-temporal representation learning enhanced speech emotion recognition with multi-head attention mechanisms. Knowl.-Based Syst. 281, 111077 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"2787_CR3","doi-asserted-by":"crossref","unstructured":"L. Cuccovillo, S. Mann, M. Tagliasacchi, P. Aichroth, Audio tampering detection via microphone classification, in Proceedings of IEEE 15th International Workshop on Multimedia Signal Processing (2013), pp. 177\u2013182","DOI":"10.1109\/MMSP.2013.6659284"},{"key":"2787_CR4","doi-asserted-by":"publisher","first-page":"2314","DOI":"10.1109\/TIFS.2014.2363524","volume":"9","author":"P Esquef","year":"2014","unstructured":"P. Esquef, J. Apolin\u00e1rio, L. Biscainho, Edit detection in speech recordings via instantaneous electric network frequency variationss. IEEE Trans. Inf. Forensics Secur. 9, 2314\u20132326 (2014)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR5","doi-asserted-by":"crossref","unstructured":"S.\u00a0Gupta, J.K. Seongho\u00a0Cho, Current developments and future trends in audio authentication. IEEE MultiMedia 19, 50\u201359 (2012)","DOI":"10.1109\/MMUL.2011.74"},{"key":"2787_CR6","unstructured":"A. Hajj-Ahmad, R. Garg, M. Wu, Instantaneous frequency estimation and localization for enf signals, in Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 16, pp. 1\u201310 (2012)"},{"key":"2787_CR7","doi-asserted-by":"publisher","first-page":"20640","DOI":"10.1109\/ACCESS.2017.2647921","volume":"5","author":"G Hua","year":"2017","unstructured":"G. Hua, G. Bi, V.L.L. Thing, On practical issues of electric network frequency based audio forensics. IEEE Access 5, 20640\u201320651 (2017)","journal-title":"IEEE Access"},{"key":"2787_CR8","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1109\/TIFS.2020.3009579","volume":"16","author":"G Hua","year":"2021","unstructured":"G. Hua, H. Liao, Q. Wang, H. Zhang, D. Ye, Detection of electric network frequency in audio recordings-from theory to practical detectors. IEEE Trans. Inf. Forensics Secur. 16, 236\u2013248 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR9","doi-asserted-by":"publisher","first-page":"3874","DOI":"10.1109\/TIFS.2021.3099697","volume":"16","author":"G Hua","year":"2021","unstructured":"G. Hua, H. Liao, H. Zhang, Robust enf estimation based on harmonic enhancement and maximum weight clique. IEEE Trans. Inf. Forensics Secur. 16, 3874\u20133887 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR10","doi-asserted-by":"crossref","unstructured":"Y. Hu, C.-T. Li, Z. Lv, B.-B. Liu, Audio forgery detection based on max offsets for cross correlation between enf and reference signal. in Proceedings of The International Workshop on Digital Forensics and Watermarking 7809, 253\u2013266 (2012)","DOI":"10.1007\/978-3-642-40099-5_21"},{"key":"2787_CR11","doi-asserted-by":"crossref","unstructured":"S. Ikram, H. Malik, Digital audio forensics using background noise, in Proceedings of IEEE International Conference on Multimedia and Expo, pp. 106\u2013110 (2010)","DOI":"10.1109\/ICME.2010.5582981"},{"key":"2787_CR12","doi-asserted-by":"crossref","unstructured":"S. Jadhav, R. Patole, P. Rege, Detection of electric network frequency in audio recordings-from theory to practical detectors, in Proceedings of 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) , 1\u20135 (2019)","DOI":"10.1109\/ICCCNT45670.2019.8944345"},{"issue":"4","key":"2787_CR13","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1111\/1556-4029.12452","volume":"59","author":"BE Koenig","year":"2014","unstructured":"B.E. Koenig, D.S. Lacey, The average direct current offset values for small digital audio recorders in an acoustically consistent environment. J. Forensic Sci. 59(4), 960\u2013966 (2014)","journal-title":"J. Forensic Sci."},{"key":"2787_CR14","doi-asserted-by":"crossref","unstructured":"C. Kraetzer, A. Oermann, J. Dittmann, A. Lang, Digital audio forensics: a first practical evaluation on microphone and environment classification, in Proceedings of the 9th Workshop on Multimedia and Security (2007), pp. 63\u201374. Association for Computing Machinery, New York, NY, USA","DOI":"10.1145\/1288869.1288879"},{"key":"2787_CR15","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.dsp.2016.07.015","volume":"60","author":"X Lin","year":"2017","unstructured":"X. Lin, X. Kang, Exposing speech tampering via spectral phase analysis. Digital Signal Process. 60, 63\u201374 (2017)","journal-title":"Digital Signal Process."},{"key":"2787_CR16","doi-asserted-by":"crossref","unstructured":"X. Lin, X. Kang, Supervised audio tampering detection using an autoregressive model, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2142\u20132146 (2017)","DOI":"10.1109\/ICASSP.2017.7952535"},{"key":"2787_CR17","doi-asserted-by":"crossref","unstructured":"Z. Liu, W. Lu, Fast copy-move detection of digital audio, In Proceedings of 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), 72(2), 625\u2013629 (2017)","DOI":"10.1109\/DSC.2017.11"},{"key":"2787_CR18","doi-asserted-by":"crossref","unstructured":"C. Li, Y. Sun, X. Meng, L. Tian, Homologous audio copy-move tampering detection method based on pitch, in Proceedings of 2019 IEEE 19th International Conference on Communication Technology (ICCT) (2019), pp. 530\u2013534","DOI":"10.1109\/ICCT46805.2019.8947002"},{"key":"2787_CR19","doi-asserted-by":"crossref","unstructured":"Z. Lv, Y. Hu, C.-T. Li, B.-b. Liu, Audio forensic authentication based on mocc between enf and reference signals. in Proceedings of 2013 IEEE China Summit and International Conference on Signal and Information Processing (2013), pp. 427\u2013431. IEEE, Beijing, China","DOI":"10.1109\/ChinaSIP.2013.6625375"},{"issue":"11","key":"2787_CR20","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1109\/TIFS.2013.2280888","volume":"8","author":"H Malik","year":"2013","unstructured":"H. Malik, Acoustic environment identification and its applications to audio forensics. IEEE Trans. Inf. Forensics Secur. 8(11), 1827\u20131837 (2013)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR21","doi-asserted-by":"crossref","unstructured":"H. Malik, H. Farid, Audio forensics from acoustic reverberation, in Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing, pp. 1710\u20131713 (2010)","DOI":"10.1109\/ICASSP.2010.5495479"},{"key":"2787_CR22","doi-asserted-by":"crossref","unstructured":"M. Mao, Z. Xiao, X. Kang, Electric network frequency based audio forensics using convolutional neural networks. in Proceedings of IFIP International Conference on Digital Forensics, 589, 253\u2013270 (2020)","DOI":"10.1007\/978-3-030-56223-6_14"},{"key":"2787_CR23","doi-asserted-by":"crossref","unstructured":"M. Mascia, A. Canclini, F. Antonacci, M. Tagliasacchi, S. Tubaro, Forensic and anti-forensic analysis of indoor\/outdoor classifiers based on acoustic clues, in Proceedings of 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 2072\u20132076 (2015)","DOI":"10.1109\/EUSIPCO.2015.7362749"},{"key":"2787_CR24","doi-asserted-by":"crossref","unstructured":"X. Meng, C. Li, L. Tian, Detecting audio splicing forgery algorithm based on local noise level estimation, in Proceedings of 2018 5th International Conference on Systems and Informatics (ICSAI), pp. 861\u2013865 (2018)","DOI":"10.1109\/ICSAI.2018.8599318"},{"issue":"4","key":"2787_CR25","first-page":"199","volume":"62","author":"G Muhammad","year":"2011","unstructured":"G. Muhammad, K. Alghathbar, Environment recognition for digital audio forensics using mpeg-7 and mel cepstral features. J. Electr. Eng. 62(4), 199\u2013205 (2011)","journal-title":"J. Electr. Eng."},{"key":"2787_CR26","doi-asserted-by":"crossref","unstructured":"M. Narkhede, P. Rashmika, Acoustic scene identification for audio authentication. Soft Comput. Signal Process., pp. 593\u2013602 (2019)","DOI":"10.1007\/978-981-13-3600-3_56"},{"key":"2787_CR27","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/62.888324","volume":"15","author":"J Ortega-Garcia","year":"2000","unstructured":"J. Ortega-Garcia, J. Gonzalez-Rodriguez, S. Cruz-Llanas, Speech variability in automatic speaker recognition systems for commercial and forensic purposes. IEEE Aerosp. Electron. Syst. Mag. 15, 27\u201332 (2000)","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"key":"2787_CR28","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1109\/TIFS.2016.2636095","volume":"12","author":"P Reis","year":"2017","unstructured":"P. Reis, J. Costa, R. Miranda, Esprit\u2013Hilbert-based audio tampering detection with svm classifier for forensic analysis via electrical network frequency. IEEE Trans. Inf. Forensics Secur. 12, 853\u2013864 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR29","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1109\/TIFS.2010.2051270","volume":"5","author":"D Rodriguez","year":"2010","unstructured":"D. Rodriguez, J. Apolinario, L. Biscainho, Audio authenticity: detecting enf discontinuity with high precision phase analysis. IEEE Trans. Inf. Forensics Secur. 5, 534\u2013543 (2010)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR30","doi-asserted-by":"crossref","unstructured":"S. Saleem, A. Dilawari, U.G. Khan, Spoofed voice detection using dense features of stft and mdct spectrograms, in Proceedings of 2021 International Conference on Artificial Intelligence (ICAI), pp. 56\u201361 (2021)","DOI":"10.1109\/ICAI52203.2021.9445259"},{"key":"2787_CR31","doi-asserted-by":"publisher","first-page":"3153","DOI":"10.3390\/app9153135","volume":"9","author":"M Sarkar","year":"2019","unstructured":"M. Sarkar, D. Chowdhury, C. Shahnaz, Application of electrical network frequency of digital recordings for location-stamp verification. Appl. Sci. 9, 3153 (2019)","journal-title":"Appl. Sci."},{"key":"2787_CR32","doi-asserted-by":"crossref","unstructured":"Z. Wang, J. Wang, C. Zeng, Q. Min, Y. Tian, M. Zuo, Digital audio tampering detection based on enf consistency, in Proceedings of 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) (2018), pp. 209\u2013214. IEEE, Chengdu","DOI":"10.1109\/ICWAPR.2018.8521378"},{"issue":"69","key":"2787_CR33","first-page":"1","volume":"2022","author":"Z Wang","year":"2022","unstructured":"Z. Wang, Y. Yang, C. Zeng, S. Kong, S. Feng, N. Zhao, Shallow and deep feature fusion for digital audio tampering detection. EURASIP J. Adv. Signal Process. 2022(69), 1\u201320 (2022)","journal-title":"EURASIP J. Adv. Signal Process."},{"issue":"14","key":"2787_CR34","doi-asserted-by":"publisher","first-page":"11272","DOI":"10.3390\/su151411272","volume":"15","author":"Z Wang","year":"2023","unstructured":"Z. Wang, J. Zhan, G. Zhang, D. Ouyang, H. Guo, An end-to-end transfer learning framework of source recording device identification for audio sustainable security. Sustainability 15(14), 11272 (2023)","journal-title":"Sustainability"},{"issue":"2","key":"2787_CR35","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1108\/IJWIS-11-2020-0073","volume":"17","author":"Z Wang","year":"2021","unstructured":"Z. Wang, C. Zuo, C. Zeng, Sae based unified double jpeg compression detection system for web image forensics. Int. J. Web Inf. Syst. 17(2), 84\u201398 (2021)","journal-title":"Int. J. Web Inf. Syst."},{"key":"2787_CR36","first-page":"37","volume":"43","author":"Z Xie","year":"2018","unstructured":"Z. Xie, W. Lu, X. Liu, Copy-move detection of digital audio based on multi-feature decision. J. Inf. Secur. Appl. 43, 37\u201346 (2018)","journal-title":"J. Inf. Secur. Appl."},{"key":"2787_CR37","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1155\/2021\/6659371","volume":"2021","author":"D Yan","year":"2021","unstructured":"D. Yan, M. Dong, J. Gao, Exposing speech transsplicing forgery with noise level inconsistency. Secur. Commun. Netw. 2021, 6 (2021)","journal-title":"Secur. Commun. Netw."},{"issue":"9","key":"2787_CR38","doi-asserted-by":"publisher","first-page":"2441","DOI":"10.1109\/TIFS.2019.2900935","volume":"14","author":"Q Yan","year":"2019","unstructured":"Q. Yan, R. Yang, J. Huang, Detection of speech smoothing on very short clips. IEEE Trans. Inf. Forensics Secur. 14(9), 2441\u20132453 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR39","doi-asserted-by":"publisher","first-page":"2331","DOI":"10.1109\/TIFS.2019.2895965","volume":"14","author":"Q Yan","year":"2019","unstructured":"Q. Yan, R. Yang, J. Huang, Robust copy-move detection of speech recording using similarities of pitch and formant. IEEE Trans. Inf. Forensics Secur. 14, 2331\u20132341 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2787_CR40","doi-asserted-by":"crossref","unstructured":"M. Zakariah, M. Khan, H. Malik, Digital multimedia audio forensics: past, present and future. Multimedia Tools Appl., pp. 1009\u20131040 (2018)","DOI":"10.1007\/s11042-016-4277-2"},{"key":"2787_CR41","volume":"80","author":"C Zeng","year":"2024","unstructured":"C. Zeng, S. Feng, Z. Wang, X. Wan, Y. Chen, N. Zhao, Spatio-temporal representation learning enhanced source cell-phone recognition from speech recordings. J. Inf. Secur. Appl. 80, 103672 (2024)","journal-title":"J. Inf. Secur. Appl."},{"key":"2787_CR42","volume":"48","author":"C Zeng","year":"2024","unstructured":"C. Zeng, S. Feng, Z. Wang, Y. Zhao, K. Li, X. Wan, Audio source recording device recognition based on representation learning of sequential gaussian mean matrix. Forensic Sci. Int.: Digital Invest. 48, 301676 (2024)","journal-title":"Forensic Sci. Int.: Digital Invest."},{"issue":"4","key":"2787_CR43","doi-asserted-by":"publisher","first-page":"626","DOI":"10.3390\/e25040626","volume":"25","author":"C Zeng","year":"2023","unstructured":"C. Zeng, S. Feng, D. Zhu, Z. Wang, Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms. Entropy 25(4), 626 (2023)","journal-title":"Entropy"},{"key":"2787_CR44","doi-asserted-by":"crossref","unstructured":"C. Zeng, S. Kong, Z. Wang, K. Li, Y. Zhao, X. Wan, Y. Chen, Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency. Multimedia Tools Appl., pp. 1\u201321 (2024)","DOI":"10.1007\/s11042-024-18887-5"},{"issue":"5","key":"2787_CR45","doi-asserted-by":"publisher","first-page":"253","DOI":"10.3390\/info14050253","volume":"14","author":"C Zeng","year":"2023","unstructured":"C. Zeng, S. Kong, Z. Wang, K. Li, Y. Zhao, Digital audio tampering detection based on deep temporal-spatial features of electrical network frequency. Information 14(5), 253 (2023)","journal-title":"Information"},{"key":"2787_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2024.103046","volume":"158","author":"C Zeng","year":"2024","unstructured":"C. Zeng, S. Kong, Z. Wang, S. Feng, N. Zhao, J. Wang, Deletion and insertion tampering detection for speech authentication based on fluctuating super vector of electrical network frequency. Speech Commun. 158, 103046 (2024)","journal-title":"Speech Commun."},{"issue":"4","key":"2787_CR47","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1108\/IJWIS-06-2020-0038","volume":"16","author":"C Zeng","year":"2020","unstructured":"C. Zeng, D. Zhu, Z. Wang, Z. Wang, N. Zhao, L. He, An end-to-end deep source recording device identification system for web media forensics. Int. J. Web Inf. Syst. 16(4), 413\u2013425 (2020)","journal-title":"Int. J. Web Inf. Syst."},{"issue":"1","key":"2787_CR48","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1186\/s13634-021-00763-1","volume":"2021","author":"C Zeng","year":"2021","unstructured":"C. Zeng, D. Zhu, Z. Wang, M. Wu, W. Xiong, N. Zhao, Spatial and temporal learning representation for end-to-end recording device identification. EURASIP J. Adv. Signal Process. 2021(1), 41 (2021)","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"2787_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.123004","volume":"244","author":"Q Zheng","year":"2024","unstructured":"Q. Zheng, Z. Chen, Z. Wang, H. Liu, M. Lin, Meconformer: highly representative embedding extractor for speaker verification via incorporating selective convolution into deep speaker encoder. Expert Syst. Appl. 244, 123004 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"2787_CR50","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1093\/nsr\/nwy108","volume":"6","author":"Z-H Zhou","year":"2019","unstructured":"Z.-H. Zhou, J. Feng, Deep forest. Natl. Sci. Rev. 6(1), 74\u201386 (2019)","journal-title":"Natl. Sci. Rev."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02787-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-024-02787-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02787-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T12:11:14Z","timestamp":1728303074000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-024-02787-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,26]]},"references-count":50,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["2787"],"URL":"https:\/\/doi.org\/10.1007\/s00034-024-02787-y","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,26]]},"assertion":[{"value":"21 December 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No potential Conflict of interest was reported by the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}