{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T08:17:18Z","timestamp":1773217038830,"version":"3.50.1"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"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":["Multimedia Systems"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00530-024-01630-3","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T15:15:53Z","timestamp":1734966953000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dual-domain multi-scale feature extraction for image dehazing"],"prefix":"10.1007","volume":"31","author":[{"given":"Qin","family":"Guo","sequence":"first","affiliation":[]},{"given":"Xiangchao","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Shoujun","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Xiangrong","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"1630_CR1","doi-asserted-by":"publisher","unstructured":"McCartney, E.J.: Optics of the Atmosphere: Scattering by Molecules and Particles. Wiley (1976). https:\/\/doi.org\/10.1088\/0031-9112\/28\/11\/025","DOI":"10.1088\/0031-9112\/28\/11\/025"},{"key":"1630_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2009.5206515","author":"K He","year":"2011","unstructured":"He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. 2021 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR). (2011). https:\/\/doi.org\/10.1109\/cvpr.2009.5206515","journal-title":"2021 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)"},{"key":"1630_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2013.82","author":"G Meng","year":"2013","unstructured":"Meng, G., Wang, Y., Duan, J., Xiang, S., Pan, C.: Efficient image dehazing with Boundary Constraint and Contextual Regularization. 2013 IEEE Int. Conf. Comput. Vis. (ICCV). (2013). https:\/\/doi.org\/10.1109\/iccv.2013.82","journal-title":"2013 IEEE Int. Conf. Comput. Vis. (ICCV)"},{"key":"1630_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2008.4587643","author":"RT Tan","year":"2008","unstructured":"Tan, R.T.: Visibility in bad weather from a single image. 2008 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR). (2008). https:\/\/doi.org\/10.1109\/cvpr.2008.4587643","journal-title":"2008 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)"},{"key":"1630_CR5","doi-asserted-by":"publisher","unstructured":"Narasimhan, S.G., Nayar, S.K.: Chromatic framework for vision in bad weather. 2000 IEEE Conf. Comput. Vis. Recognit. P (2000). https:\/\/doi.org\/10.1109\/cvpr.2000.855874","DOI":"10.1109\/cvpr.2000.855874"},{"key":"1630_CR6","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1023\/A:1016328200723","volume":"48","author":"SG Narasimhan","year":"2002","unstructured":"Narasimhan, S.G., Nayar, S.K.: Vision and the atmosphere. Int. J. Comput. Vision. 48, 233\u2013254 (2002). https:\/\/doi.org\/10.1023\/A:1016328200723","journal-title":"Int. J. Comput. Vision"},{"key":"1630_CR7","doi-asserted-by":"publisher","unstructured":"Cai, B., Xu, X., Jia, K., Qing, C., Tao, D.: DehazeNet: An end-to-end system for single image haze removal. IEEE Trans. Image Process. 5187\u20135198 (2016). https:\/\/doi.org\/10.1109\/tip.2016.2598681","DOI":"10.1109\/tip.2016.2598681"},{"key":"1630_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.511","author":"B Li","year":"2017","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: AOD-Net: All-in-one Dehazing Network. 2017 IEEE Int. Conf. Comput. Vis. (ICCV). (2017). https:\/\/doi.org\/10.1109\/iccv.2017.511","journal-title":"2017 IEEE Int. Conf. Comput. Vis. (ICCV)"},{"key":"1630_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00741","author":"X Liu","year":"2019","unstructured":"Liu, X., Ma, Y., Shi, Z., Chen, J.: GridDehazeNet: Attention-based Multi-scale Network for Image Dehazing. 2019 IEEE Int. Conf. Comput. Vis. (ICCV). (2019). https:\/\/doi.org\/10.1109\/iccv.2019.00741","journal-title":"2019 IEEE Int. Conf. Comput. Vis. (ICCV)"},{"key":"1630_CR10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6865","author":"X Qin","year":"2020","unstructured":"Qin, X., Wang, Z., Bai, Y., Xie, X., Jia, H.: FFA-Net: Feature Fusion attention network for single image Dehazing. AAAI Conf. Artif. Intell. (2020). https:\/\/doi.org\/10.1609\/aaai.v34i07.6865","journal-title":"AAAI Conf. Artif. Intell."},{"key":"1630_CR11","doi-asserted-by":"publisher","unstructured":"Wu, H., Qu, Y., Lin, S., Zhou, J., et al.: Contrastive Learning for Compact Single Image Dehazing. 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2021). https:\/\/doi.org\/10.1109\/cvpr46437.2021.01041","DOI":"10.1109\/cvpr46437.2021.01041"},{"key":"1630_CR12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19973","author":"M Hong","year":"2022","unstructured":"Hong, M., Liu, J., Li, C., Qu, Y.: Uncertainty-driven dehazing network. AAAI Conf. Artif. Intell. (2022). https:\/\/doi.org\/10.1609\/aaai.v36i1.19973","journal-title":"AAAI Conf. Artif. Intell."},{"key":"1630_CR13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00276","author":"P Luo","year":"2023","unstructured":"Luo, P., Xiao, G., Gao, X., Wu, S.: LKD-Net: Large Kernel Convolution Network for single image Dehazing. 2023 IEEE Int. Conf. Multimedia Expo (ICME). (2023). https:\/\/doi.org\/10.1109\/ICME55011.2023.00276","journal-title":"2023 IEEE Int. Conf. Multimedia Expo (ICME)"},{"key":"1630_CR14","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Zhou, S., Li, H.: Depth Information Assisted Collaborative Mutual Promotion Network for single image Dehazing. IEEE Conf. Comput. Vis. Pattern Recognit. 2846\u20132855 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.00275","DOI":"10.1109\/CVPR52733.2024.00275"},{"key":"1630_CR15","doi-asserted-by":"publisher","unstructured":"Liu, J., Wang, S., Chen, C., Hou, Q.: DFP-Net: An unsupervised dual-branch frequency-domain processing framework for single image dehazing. Eng. Appl. Artif. Intell. 136 (2024). https:\/\/doi.org\/10.1016\/j.engappai.2024.109012","DOI":"10.1016\/j.engappai.2024.109012"},{"key":"1630_CR16","doi-asserted-by":"publisher","unstructured":"Wang, Z., Zhao, H., Peng, J., Yao, L., Zhao, K.: ODCR: Orthogonal Decoupling Contrastive regularization for unpaired image Dehazing. IEEE Conf. Comput. Vis. Pattern Recognit. 25479\u201325489 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.02407","DOI":"10.1109\/CVPR52733.2024.02407"},{"key":"1630_CR17","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.1109\/TIP.2024.3354108","volume":"33","author":"Z Chen","year":"2024","unstructured":"Chen, Z., He, Z., Lu, Z.: DEA-Net: Single image Dehazing based on Detail-enhanced convolution and content-guided attention. IEEE Trans. Image Process. 33, 1002\u20131015 (2024). https:\/\/doi.org\/10.1109\/TIP.2024.3354108","journal-title":"IEEE Trans. Image Process."},{"key":"1630_CR18","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/LSP.2021.3125272","volume":"29","author":"N Wang","year":"2021","unstructured":"Wang, N., Cui, Z., Su, Y., He, C., Li, A.: Multiscale supervision-guided context aggregation network for single image dehazing. IEEE. Signal. Process. Lett. 29, 70\u201374 (2021). https:\/\/doi.org\/10.1109\/LSP.2021.3125272","journal-title":"IEEE. Signal. Process. Lett."},{"key":"1630_CR19","doi-asserted-by":"publisher","first-page":"3368","DOI":"10.1049\/ipr2.12333","volume":"15","author":"N Wang","year":"2021","unstructured":"Wang, N., Cui, Z., Su, Y., et al.: Prior-guided multiscale network for single-image dehazing. IET Image Proc. 15, 3368\u20133379 (2021). https:\/\/doi.org\/10.1049\/ipr2.12333","journal-title":"IET Image Proc."},{"key":"1630_CR20","doi-asserted-by":"publisher","unstructured":"Cui, Z., Wang, N., Su, Y., Zhang, W., Lan, Y., Li, A.: ECANet: Enhanced context aggregation network for single image dehazing. Signal, Image and Video Processing, vol. 17, no. 2, pp. 471\u2013479, (2023). https:\/\/doi.org\/10.1007\/s11760-022-02252-w","DOI":"10.1007\/s11760-022-02252-w"},{"key":"1630_CR21","doi-asserted-by":"publisher","first-page":"109700","DOI":"10.1016\/j.patcog.2023.109700","volume":"142","author":"YZ Su","year":"2023","unstructured":"Su, Y.Z., He, C., Cui, Z., Li, A., Wang, N.: Physical model and image translation fused network for single-image dehazing. Pattern Recogn. 142, 109700 (2023). https:\/\/doi.org\/10.1016\/j.patcog.2023.109700","journal-title":"Pattern Recogn."},{"issue":"3","key":"1630_CR22","doi-asserted-by":"publisher","first-page":"033026","DOI":"10.1117\/1.JEI.30.3.033026","volume":"30","author":"N Wang","year":"2021","unstructured":"Wang, N., Cui, Z., Su, Y., Li, A.: RGNAM: Recurrent grid network with an attention mechanism for single-image dehazing. J. Electron. Imaging. 30(3), 033026\u2013033026 (2021). https:\/\/doi.org\/10.1117\/1.JEI.30.3.033026","journal-title":"J. Electron. Imaging"},{"key":"1630_CR23","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929","author":"A Dosovitskiy","year":"2020","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., et al.: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv: Comput. Vis. Pattern Recognit. (2020). https:\/\/doi.org\/10.48550\/arXiv.2010.11929","journal-title":"arXiv: Comput. Vis. Pattern Recognit."},{"key":"1630_CR24","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","volume":"32","author":"Y Song","year":"2023","unstructured":"Song, Y., He, Z., Qian, H., Du, X.: Vision transformers for single image Dehazing. IEEE Trans. Image Process. 32, 1927\u20131941 (2023). https:\/\/doi.org\/10.1109\/TIP.2023.3256763","journal-title":"IEEE Trans. Image Process."},{"key":"1630_CR25","doi-asserted-by":"publisher","unstructured":"Guo, C., Yan, Q., Anwar, S., Cong, R., Ren, W., Li, C.: Image Dehazing Transformer with transmission-aware 3D position embedding. 2022 IEEE Conf. Comput. Vis. Recognit. P (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00572","DOI":"10.1109\/CVPR52688.2022.00572"},{"key":"1630_CR26","doi-asserted-by":"publisher","unstructured":"Qiu, Y., Zhang, K., Wang, C., Luo, W., Li, H., Jin, Z.: MB-TaylorFormer: Multi-branch efficient transformer expanded by Taylor Formula for Image Dehazing. IEEE Int. Conf. Comput. Vis. (ICCV). 12756\u201312767 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01176","DOI":"10.1109\/ICCV51070.2023.01176"},{"key":"1630_CR27","doi-asserted-by":"publisher","unstructured":"Liu, J., Yuan, H., Yuan, Z., Liu, L., Lu, B., Yu, M.: Visual transformer with stable prior and patch-level attention for single image dehazing. Neurocomputing. 551 (2023). https:\/\/doi.org\/10.1016\/j.neucom.2023.126535","DOI":"10.1016\/j.neucom.2023.126535"},{"issue":"10","key":"1630_CR28","doi-asserted-by":"publisher","first-page":"11321","DOI":"10.1109\/TITS.2023.3277709","volume":"24","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Xiong, J., Yan, X., Wei, M.: USCFormer: Unified Transformer with Semantically Contrastive Learning for Image Dehazing. IEEE Trans. Intell. Transp. Syst. 24(10), 11321\u201311333 (2023). https:\/\/doi.org\/10.1109\/TITS.2023.3277709","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"1630_CR29","doi-asserted-by":"publisher","unstructured":"Tong, M., Yan, X., Wang, Y., Wei, M.: Semi-UFormer: Semi-supervised uncertainty-aware transformer for image Dehazing. 2024 Int. Joint Conf. Neural Networks (IJCNN). pp 1\u20138 (2024). https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10649968","DOI":"10.1109\/IJCNN60899.2024.10649968"},{"key":"1630_CR30","doi-asserted-by":"publisher","unstructured":"Wang, Z., Cun, X., Bao, J., Zhou, W., Liu, J., Li, H.: Uformer: A General U-Shaped Transformer for Image Restoration. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR). 17662\u201317672 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01716","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"1630_CR31","doi-asserted-by":"publisher","unstructured":"Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M.: Restormer: Efficient transformer for high-resolution image restoration. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR). 5718\u20135729 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00564","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"1630_CR32","doi-asserted-by":"publisher","unstructured":"Loshchilov, I., Hutter, F.: SGDR: Stochastic Gradient Descent with Warm Restarts. International Conference on Learning Representations. arXiv: International Conference on Learning Representations. (2016). https:\/\/doi.org\/10.48550\/arXiv.1608.03983","DOI":"10.48550\/arXiv.1608.03983"},{"key":"1630_CR33","doi-asserted-by":"publisher","unstructured":"He, F., Liu, T., Tao, D.: Why ResNet Works? Residuals generalize, IEEE transactions on neural networks and Learning systems, 31, 12, pp. 5349\u20135362, (2020). https:\/\/doi.org\/10.1109\/TNNLS.2020.2966319","DOI":"10.1109\/TNNLS.2020.2966319"},{"key":"1630_CR34","doi-asserted-by":"publisher","unstructured":"Wang, Z., Wang, Z., Zeng, C., Yu, Y., Wan, X.: High-quality image compressed Sensing and Reconstruction with multi-scale dilated convolutional neural network. Circuits Syst. Signal. Process. 1593\u20131616 (2023). https:\/\/doi.org\/10.1007\/s00034-022-02181-6","DOI":"10.1007\/s00034-022-02181-6"},{"key":"1630_CR35","doi-asserted-by":"publisher","unstructured":"Shi, W., et al.: Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1874\u20131883, (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.207","DOI":"10.1109\/CVPR.2016.207"},{"key":"1630_CR36","doi-asserted-by":"publisher","unstructured":"Nguyen, A., Pham, K., Ngo, D., Ngo, T., Pham, L.: An analysis of state-of-the-art activation functions for supervised deep neural network. Int. Conf. Syst. Sci. Eng. (ICSSE). pp 215\u2013220 (2021). https:\/\/doi.org\/10.1109\/ICSSE52999.2021.9538437","DOI":"10.1109\/ICSSE52999.2021.9538437"},{"key":"1630_CR37","doi-asserted-by":"publisher","unstructured":"Ancuti, C.O., Ancuti, C., Timofte, R.: NH-HAZE: An image Dehazing Benchmark with Non-homogeneous Hazy and Haze-Free Images. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW). 1798\u20131805 (2020). https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00230","DOI":"10.1109\/CVPRW50498.2020.00230"},{"key":"1630_CR38","doi-asserted-by":"publisher","unstructured":"Zhao, H., Kong, X., He, J., Qiao, Y., Dong, C.: Efficient image super-resolution using pixel attention. Computer Vision\u2013ECCV 2020 Workshops. (2020). https:\/\/doi.org\/10.1007\/978-3-030-67070-2_3","DOI":"10.1007\/978-3-030-67070-2_3"},{"key":"1630_CR39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372","author":"J Hu","year":"2020","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. 2018 IEEE Trans. Pattern Anal. Mach. Intell. (2020). https:\/\/doi.org\/10.1109\/TPAMI.2019.2913372","journal-title":"2018 IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1630_CR40","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/tip.2018.2867951","volume":"28","author":"B Li","year":"2019","unstructured":"Li, B., Ren, W., Fu, D., Tao, D., Feng, D., Zeng, W., Wang, Z.: Benchmarking single-image Dehazing and Beyond. IEEE Trans. Image Process. 28, 492\u2013505 (2019). https:\/\/doi.org\/10.1109\/tip.2018.2867951","journal-title":"IEEE Trans. Image Process."},{"key":"1630_CR41","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475331","author":"Y Liu","year":"2021","unstructured":"Liu, Y., Zhu, L., Pei, S., Fu, H., Qin, J., et al.: From synthetic to Real: Image Dehazing collaborating with unlabeled Real Data. 2021 Int. Conf. Multimedia. (2021). https:\/\/doi.org\/10.1145\/3474085.3475331","journal-title":"2021 Int. Conf. Multimedia"},{"key":"1630_CR42","doi-asserted-by":"publisher","DOI":"10.1109\/icip.2019.8803046","author":"CO Ancuti","year":"2019","unstructured":"Ancuti, C.O., Ancuti, C., Sbert, M., Timofte, R.: Dense-Haze: A Benchmark for Image Dehazing with dense-haze and Haze-Free Images. 2019 IEEE Int. Conf. Image Process. (2019). https:\/\/doi.org\/10.1109\/icip.2019.8803046","journal-title":"2019 IEEE Int. Conf. Image Process."},{"key":"1630_CR43","doi-asserted-by":"publisher","first-page":"8423","DOI":"10.1007\/s11042-020-10035-z","volume":"80","author":"DIM Setiadi","year":"2021","unstructured":"Setiadi, D.I.M.: PSNR vs SSIM: Imperceptibility quality assessment for image steganography. Multimed Tools vol. 80, 8423\u20138444 (2021). https:\/\/doi.org\/10.1007\/s11042-020-10035-z","journal-title":"Multimed Tools vol"},{"key":"1630_CR44","doi-asserted-by":"publisher","unstructured":"Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., Yang, M.: Single image dehazing via multi-scale convolutional neural networks. 2016 In Computer Vision\u2013ECCV. (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_10","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"1630_CR45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00343","author":"W Ren","year":"2018","unstructured":"Ren, W., Ma, L., Zhang, J., Pan, J., Cao, X., Liu, W., Yang, M.: Gated fusion network for single image dehazing. IEEE Conf. Comput. Vis. Pattern Recognit. (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00343","journal-title":"IEEE Conf. Comput. Vis. Pattern Recognit."},{"key":"1630_CR46","doi-asserted-by":"publisher","unstructured":"Dong, H., Pan, J., Xiang, L., Hu, Z., et al.: Multi-scale boosted Dehazing Network with dense feature Fusion. 2020 IEEE Conf. Comput. Vis. Recognit. P (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00223","DOI":"10.1109\/CVPR42600.2020.00223"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01630-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-024-01630-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01630-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T11:05:56Z","timestamp":1740740756000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-024-01630-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,23]]},"references-count":46,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["1630"],"URL":"https:\/\/doi.org\/10.1007\/s00530-024-01630-3","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,23]]},"assertion":[{"value":"2 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 December 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 December 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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"27"}}