{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:02:49Z","timestamp":1774447369405,"version":"3.50.1"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302463"],"award-info":[{"award-number":["62302463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100016305","name":"The First Affiliated Hospital of Zhengzhou University","doi-asserted-by":"publisher","award":["241100310200"],"award-info":[{"award-number":["241100310200"]}],"id":[{"id":"10.13039\/501100016305","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011447","name":"Science and Technology Department of Henan Province","doi-asserted-by":"publisher","award":["252102210150"],"award-info":[{"award-number":["252102210150"]}],"id":[{"id":"10.13039\/501100011447","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011447","name":"Science and Technology Department of Henan Province","doi-asserted-by":"publisher","award":["232102210054"],"award-info":[{"award-number":["232102210054"]}],"id":[{"id":"10.13039\/501100011447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.eswa.2025.131064","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T19:14:16Z","timestamp":1767208456000},"page":"131064","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ECG-Text multi-modal learning for zero-shot detection via time-frequency alignment and medical prompt learning"],"prefix":"10.1016","volume":"307","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8241-0235","authenticated-orcid":false,"given":"Ning","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1530-1044","authenticated-orcid":false,"given":"Haiyan","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3557-9010","authenticated-orcid":false,"given":"Jian","family":"Tan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7820-4439","authenticated-orcid":false,"given":"Panpan","family":"Feng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6946-5904","authenticated-orcid":false,"given":"Shihua","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7480-412X","authenticated-orcid":false,"given":"Zongmin","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3446-3903","authenticated-orcid":false,"given":"Bing","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2025.131064_bib0001","first-page":"1721","article-title":"Leveraging bilateral correlations for multi-label few-shot learning","author":"An","year":"2024","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.eswa.2025.131064_bib0002","series-title":"Proceedings of the international joint conference on artificial intelligence, IJCAI","first-page":"4366","article-title":"Knowledge-aware zero-shot learning: Survey and perspective","author":"Chen","year":"2021"},{"key":"10.1016\/j.eswa.2025.131064_bib0003","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"7602","article-title":"MSDN: Mutually semantic distillation network for zero-shot learning","author":"Chen","year":"2022"},{"key":"10.1016\/j.eswa.2025.131064_bib0004","series-title":"Proceedings of the neural information processing systems conference, NIPS","first-page":"16622","article-title":"HSVA: Hierarchical semantic-visual adaptation for zero-shot learning","author":"Chen","year":"2021"},{"issue":"10","key":"10.1016\/j.eswa.2025.131064_bib0005","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1038\/s42256-023-00714-5","article-title":"Decoding speech perception from non-invasive brain recordings","volume":"5","author":"Defossez","year":"2023","journal-title":"Nature Machine Intelligence"},{"key":"10.1016\/j.eswa.2025.131064_bib0006","series-title":"Proceedings of the international conference on learning representations, ICLR","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"10.1016\/j.eswa.2025.131064_bib0007","article-title":"Mimic-iv-ecg: Diagnostic electrocardiogram matched subset","author":"Gow","year":"2023","journal-title":"PhysioNet"},{"issue":"1","key":"10.1016\/j.eswa.2025.131064_bib0008","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1038\/s41591-018-0268-3","article-title":"Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network","volume":"25","author":"Hannun","year":"2019","journal-title":"Nature Medicine"},{"key":"10.1016\/j.eswa.2025.131064_bib0009","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition, CVPR","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"1","key":"10.1016\/j.eswa.2025.131064_bib0010","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/TAFFC.2017.2781732","article-title":"Automatic ECG-based emotion recognition in music listening","volume":"11","author":"Hsu","year":"2020","journal-title":"IEEE Transactions on Affective Computing"},{"key":"10.1016\/j.eswa.2025.131064_bib0011","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"2261","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017"},{"key":"10.1016\/j.eswa.2025.131064_bib0012","series-title":"Proceedings of the international conference on machine learning, ICML","first-page":"4904","article-title":"Scaling up visual and vision-language representation learning with noisy text supervision","volume":"vol. 139","author":"Jia","year":"2021"},{"key":"10.1016\/j.eswa.2025.131064_bib0013","series-title":"Proceedings of the european conference on computer vision, ECCV","first-page":"121","article-title":"Learning class prototypes via structure alignment for zero-shot recognition","volume":"vol. 11214","author":"Jiang","year":"2018"},{"issue":"10","key":"10.1016\/j.eswa.2025.131064_bib0014","first-page":"1","article-title":"MedCPT: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval","volume":"39","author":"Jin","year":"2023","journal-title":"Bioinform."},{"key":"10.1016\/j.eswa.2025.131064_bib0015","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"19113","article-title":"MaPLe: Multi-modal prompt learning","author":"Khattak","year":"2023"},{"key":"10.1016\/j.eswa.2025.131064_bib0016","first-page":"1","article-title":"Deep learning-based automated emotion recognition using multimodal physiological signals and time-frequency methods","volume":"73","author":"Kumar","year":"2024","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2025.131064_bib0017","series-title":"Proceedings of the medical image computing and computer-assisted intervention, MIDL","first-page":"402","article-title":"Frozen language model helps ECG zero-shot learning","volume":"vol. 227","author":"Li","year":"2023"},{"key":"10.1016\/j.eswa.2025.131064_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127459","article-title":"Time-synchrosqueezing generalized w transform for high-resolution time-frequency representation and application in dual-domain ECG classification","volume":"280","author":"Li","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2025.131064_bib0019","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"9316","article-title":"Siamese contrastive embedding network for compositional zero-shot learning","author":"Li","year":"2022"},{"key":"10.1016\/j.eswa.2025.131064_bib0020","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"23390","article-title":"Scaling language-image pre-training via masking","author":"Li","year":"2023"},{"key":"10.1016\/j.eswa.2025.131064_bib0021","series-title":"Proceedings of the IEEE international conference on acoustics, speech, and signal processing, ICASSP","first-page":"8230","article-title":"ETP: Learning transferable ECG representations via ecg-text pre-training","author":"Liu","year":"2024"},{"key":"10.1016\/j.eswa.2025.131064_bib0022","series-title":"Proceedings of the international conference on machine learning, ICML","article-title":"Zero-shot ECG classification with multimodal learning and test-time clinical knowledge enhancement","author":"Liu","year":"2024"},{"issue":"7","key":"10.1016\/j.eswa.2025.131064_bib0023","doi-asserted-by":"crossref","first-page":"1368","DOI":"10.1166\/jmihi.2018.2442","article-title":"An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection","volume":"8","author":"Liu","year":"2018","journal-title":"Journal of Medical Imaging and Health Informatics"},{"key":"10.1016\/j.eswa.2025.131064_bib0024","series-title":"Proceedings of the IEEE International Conference on Computer Vision, ICCV","first-page":"6697","article-title":"Attribute attention for semantic disambiguation in zero-shot learning","author":"Liu","year":"2019"},{"issue":"2","key":"10.1016\/j.eswa.2025.131064_bib0025","doi-asserted-by":"crossref","first-page":"1721","DOI":"10.1109\/TII.2023.3280560","article-title":"A dual-branch spatio-temporal-spectral transformer feature fusion network for EEG-based visual recognition","volume":"20","author":"Luo","year":"2024","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.eswa.2025.131064_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108556","article-title":"A zero-shot deep metric learning approach to brain-computer interfaces for image retrieval","volume":"246","author":"McCartney","year":"2022","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.eswa.2025.131064_bib0027","series-title":"Proceedings of the neural information processing systems conference, NIPS","article-title":"CSLP-AE: A contrastive split-latent permutation autoencoder framework for zero-shot electroencephalography signal conversion","author":"N\u00f8rskov","year":"2023"},{"key":"10.1016\/j.eswa.2025.131064_bib0028","series-title":"Proceedings of the IEEE international conference on acoustics, speech, and signal processing, ICASSP","first-page":"1121","article-title":"A dilated residual vision transformer for atrial fibrillation detection from stacked time-frequency ECG representations","author":"Pratiher","year":"2022"},{"issue":"10","key":"10.1016\/j.eswa.2025.131064_bib0029","doi-asserted-by":"crossref","first-page":"6663","DOI":"10.1109\/TII.2022.3159583","article-title":"A cybertwin based multimodal network for ECG patterns monitoring using deep learning","volume":"18","author":"Qi","year":"2022","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.eswa.2025.131064_bib0030","series-title":"Proceedings of the international conference on machine learning, ICML","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume":"vol. 139","author":"Radford","year":"2021"},{"key":"10.1016\/j.eswa.2025.131064_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104783","article-title":"Afcnnet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals","volume":"137","author":"Radhakrishnan","year":"2021","journal-title":"Computers in Biology and Medicine"},{"key":"10.1016\/j.eswa.2025.131064_bib0032","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fcvm.2025.1458289","article-title":"Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation","volume":"12","author":"Seki","year":"2025","journal-title":"Frontiers in Cardiovascular Medicine"},{"issue":"2","key":"10.1016\/j.eswa.2025.131064_bib0033","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1007\/s11263-019-01228-7","article-title":"Grad-CAM: Visual explanations from deep networks via gradient-based localization","volume":"128","author":"Selvaraju","year":"2020","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2025.131064_bib0034","series-title":"Proceedings of the IEEE winter conference on applications of computer vision, wacv","first-page":"7538","article-title":"Learning robust deep visual representations from EEG brain recordings","author":"Singh","year":"2024"},{"key":"10.1016\/j.eswa.2025.131064_bib0035","series-title":"Proceedings of the International Conference on Learning Representations, ICLR","article-title":"Decoding natural images from EEG for object recognition","author":"Song","year":"2024"},{"key":"10.1016\/j.eswa.2025.131064_bib0036","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.artmed.2021.102192","article-title":"DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time","volume":"121","author":"Tadesse","year":"2021","journal-title":"Artificial Intelligence in Medicine"},{"key":"10.1016\/j.eswa.2025.131064_bib0037","series-title":"2019 41St annual international conference of the IEEE engineering in medicine and biology society (EMBC)","first-page":"4262","article-title":"Cardiovascular disease diagnosis using cross-domain transfer learning","author":"Tadesse","year":"2019"},{"issue":"12","key":"10.1016\/j.eswa.2025.131064_bib0038","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.xcrm.2024.101875","article-title":"Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG","volume":"5","author":"Tian","year":"2024","journal-title":"Cell Reports Medicine"},{"issue":"25","key":"10.1016\/j.eswa.2025.131064_bib0039","doi-asserted-by":"crossref","first-page":"2361","DOI":"10.1016\/j.jacc.2022.11.005","article-title":"The global burden of cardiovascular diseases and risk a compass for future health","volume":"80","author":"Vaduganatha","year":"2022","journal-title":"Journal of the American College of Cardiology"},{"issue":"154","key":"10.1016\/j.eswa.2025.131064_bib0040","first-page":"1","article-title":"Ptb-xl, a large publicly available electrocardiography dataset","volume":"7","author":"Wagner","year":"2020","journal-title":"Scientific Data"},{"issue":"10","key":"10.1016\/j.eswa.2025.131064_bib0041","doi-asserted-by":"crossref","first-page":"13845","DOI":"10.1109\/TNNLS.2023.3272153","article-title":"Adversarial spatiotemporal contrastive learning for electrocardiogram signals","volume":"35","author":"Wang","year":"2024","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.eswa.2025.131064_bib0042","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2025.113173","article-title":"Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference","volume":"314","author":"Wang","year":"2025","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.eswa.2025.131064_bib0043","series-title":"Proceedings of the AAAI conference on artificial intelligence, AAAI","first-page":"5350","article-title":"Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification","author":"Wang","year":"2022"},{"key":"10.1016\/j.eswa.2025.131064_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111699","article-title":"Unsupervised anomaly detection with a temporal continuation, confidence-aware VAE-GAN","volume":"166","author":"Xing","year":"2025","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2025.131064_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116197","article-title":"Zero-shot learning for compound fault diagnosis of bearings","volume":"190","author":"Xu","year":"2022","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.eswa.2025.131064_bib0046","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1109\/TII.2024.3475429","article-title":"An attribute description transfer based model for zero-shot intelligent diagnosis of high-voltage circuit breakers","volume":"21","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.eswa.2025.131064_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124183","article-title":"EPK-CLIP: External and priori knowledge CLIP for action recognition","volume":"252","author":"Yang","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2025.131064_bib0048","series-title":"Proceedings of the international conference on learning representations, ICLR","article-title":"FILIP: Fine-grained interactive language-image pre-training","author":"Yao","year":"2022"},{"key":"10.1016\/j.eswa.2025.131064_bib0049","series-title":"Proceedings of machine learning for healthcare, ML4h","first-page":"650","article-title":"Zero-shot ECG diagnosis with large language models and retrieval-augmented generation","volume":"vol. 225","author":"Yu","year":"2023"},{"issue":"12","key":"10.1016\/j.eswa.2025.131064_bib0050","doi-asserted-by":"crossref","first-page":"6852","DOI":"10.1021\/acssensors.4c02695","article-title":"Construction of a convenient and highly sensitive sensor for the detection of myo in serum based on ELI-SERS","volume":"9","author":"Zhai","year":"2024","journal-title":"ACS Sensors"},{"key":"10.1016\/j.eswa.2025.131064_bib0051","series-title":"IEEE International conference on bioinformatics and biomedicine, BIBM","first-page":"2888","article-title":"CELL: Supplementing context for multi-modal few-shot cardiologist","author":"Zhang","year":"2024"},{"key":"10.1016\/j.eswa.2025.131064_bib0052","unstructured":"Zhao, Y., Zhang, T., Wang, X., Han, P., Chen, T., Huang, L., Jin, Y., & Kang, J. (2024). ECG-Chat: A large ECG-language model for cardiac disease diagnosis. arXiv: 2408.08849."},{"key":"10.1016\/j.eswa.2025.131064_bib0053","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.media.2025.103551","article-title":"CLIP In medical imaging: A survey","volume":"102","author":"Zhao","year":"2025","journal-title":"Medical Image Analysis"},{"issue":"1","key":"10.1016\/j.eswa.2025.131064_bib0054","first-page":"1","article-title":"Optimal multi-stage arrhythmia classification approach","volume":"10","author":"Zheng","year":"2020","journal-title":"Scientific Reports"},{"issue":"48","key":"10.1016\/j.eswa.2025.131064_bib0055","first-page":"1","article-title":"A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients","volume":"7","author":"Zheng","year":"2020","journal-title":"Scientific Data"},{"key":"10.1016\/j.eswa.2025.131064_bib0056","series-title":"Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR","first-page":"16795","article-title":"Conditional prompt learning for vision-language models","author":"Zhou","year":"2022"},{"issue":"9","key":"10.1016\/j.eswa.2025.131064_bib0057","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1007\/s11263-022-01653-1","article-title":"Learning to prompt for vision-language models","volume":"130","author":"Zhou","year":"2022","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2025.131064_bib0058","series-title":"Proceedings of the IEEE international conference on computer vision ICCV","first-page":"8382","article-title":"Binocular mutual learning for improving few-shot classification","author":"Zhou","year":"2021"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417425046780?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417425046780?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T12:20:56Z","timestamp":1774441256000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417425046780"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":58,"alternative-id":["S0957417425046780"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2025.131064","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ECG-Text multi-modal learning for zero-shot detection via time-frequency alignment and medical prompt learning","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2025.131064","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"131064"}}