{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T14:59:16Z","timestamp":1767970756063,"version":"3.49.0"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.imavis.2025.105872","type":"journal-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T07:55:04Z","timestamp":1765526104000},"page":"105872","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ShadowMamba: State-space model with boundary-region selective scan for shadow removal"],"prefix":"10.1016","volume":"166","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1017-2474","authenticated-orcid":false,"given":"Xiujin","family":"Zhu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6044-2650","authenticated-orcid":false,"given":"Chee-Onn","family":"Chow","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9058-3497","authenticated-orcid":false,"given":"Joon Huang","family":"Chuah","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.imavis.2025.105872_b1","doi-asserted-by":"crossref","unstructured":"Y. Zhao, W. Lv, S. Xu, J. Wei, G. Wang, Q. Dang, Y. Liu, J. Chen, Detrs beat yolos on real-time object detection, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 16965\u201316974.","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"10.1016\/j.imavis.2025.105872_b2","doi-asserted-by":"crossref","unstructured":"S. Chen, P. Sun, Y. Song, P. Luo, Diffusiondet: Diffusion model for object detection, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 19830\u201319843.","DOI":"10.1109\/ICCV51070.2023.01816"},{"key":"10.1016\/j.imavis.2025.105872_b3","doi-asserted-by":"crossref","unstructured":"J. Jain, J. Li, M.T. Chiu, A. Hassani, N. Orlov, H. Shi, Oneformer: One transformer to rule universal image segmentation, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 2989\u20132998.","DOI":"10.1109\/CVPR52729.2023.00292"},{"key":"10.1016\/j.imavis.2025.105872_b4","doi-asserted-by":"crossref","first-page":"4788","DOI":"10.1109\/TIP.2021.3074804","article-title":"Deraincyclegan: Rain attentive cyclegan for single image deraining and rainmaking","volume":"30","author":"Wei","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2025.105872_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109740","article-title":"Data-driven single image deraining: A comprehensive review and new perspectives","volume":"143","author":"Zhang","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2025.105872_b6","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","article-title":"Vision transformers for single image dehazing","volume":"32","author":"Song","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2025.105872_b7","first-page":"1","article-title":"Robust thick cloud removal for multitemporal remote sensing images using coupled tensor factorization","volume":"60","author":"Lin","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.imavis.2025.105872_b8","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.isprsjprs.2020.02.008","article-title":"Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning","volume":"162","author":"Zhang","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.imavis.2025.105872_b9","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.isprsjprs.2021.04.021","article-title":"Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images","volume":"177","author":"Zhang","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.imavis.2025.105872_b10","doi-asserted-by":"crossref","unstructured":"Y. Liu, Z. Zhu, X. Bai, Wdnet: Watermark-decomposition network for visible watermark removal, in: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 3685\u20133693.","DOI":"10.1109\/WACV48630.2021.00373"},{"issue":"12","key":"10.1016\/j.imavis.2025.105872_b11","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1109\/TPAMI.2012.214","article-title":"Paired regions for shadow detection and removal","volume":"35","author":"Guo","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"10.1016\/j.imavis.2025.105872_b12","doi-asserted-by":"crossref","first-page":"4623","DOI":"10.1109\/TIP.2015.2465159","article-title":"Shadow remover: Image shadow removal based on illumination recovering optimization","volume":"24","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2025.105872_b13","doi-asserted-by":"crossref","unstructured":"H. Gong, D. Cosker, Interactive shadow removal and ground truth for variable scene categories, in: BMVC 2014-Proceedings of the British Machine Vision Conference 2014, 2014.","DOI":"10.5244\/C.28.36"},{"issue":"12","key":"10.1016\/j.imavis.2025.105872_b14","doi-asserted-by":"crossref","first-page":"9088","DOI":"10.1109\/TPAMI.2021.3124934","article-title":"Physics-based shadow image decomposition for shadow removal","volume":"44","author":"Le","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2025.105872_b15","doi-asserted-by":"crossref","unstructured":"X. Li, Q. Guo, R. Abdelfattah, D. Lin, W. Feng, I. Tsang, S. Wang, Leveraging inpainting for single-image shadow removal, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 13055\u201313064.","DOI":"10.1109\/ICCV51070.2023.01200"},{"key":"10.1016\/j.imavis.2025.105872_b16","first-page":"710","article-title":"ShadowFormer: Global context helps shadow removal","volume":"vol. 37, no. 1","author":"Guo","year":"2023"},{"key":"10.1016\/j.imavis.2025.105872_b17","doi-asserted-by":"crossref","unstructured":"L. Guo, C. Wang, W. Yang, S. Huang, Y. Wang, H. Pfister, B. Wen, Shadowdiffusion: When degradation prior meets diffusion model for shadow removal, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 14049\u201314058.","DOI":"10.1109\/CVPR52729.2023.01350"},{"key":"10.1016\/j.imavis.2025.105872_b18","first-page":"3810","article-title":"Recasting regional lighting for shadow removal","volume":"vol. 38, no. 4","author":"Liu","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b19","doi-asserted-by":"crossref","unstructured":"J. Xiao, X. Fu, Y. Zhu, D. Li, J. Huang, K. Zhu, Z.J. Zha, HomoFormer: Homogenized Transformer for Image Shadow Removal, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 25617\u201325626.","DOI":"10.1109\/CVPR52733.2024.02420"},{"key":"10.1016\/j.imavis.2025.105872_b20","first-page":"3635","article-title":"Efficient model-driven network for shadow removal","volume":"vol. 36, no. 3","author":"Zhu","year":"2022"},{"key":"10.1016\/j.imavis.2025.105872_b21","doi-asserted-by":"crossref","unstructured":"T. Einy, E. Immer, G. Vered, S. Avidan, Physics based image deshadowing using local linear model, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 3012\u20133020.","DOI":"10.1109\/CVPRW56347.2022.00340"},{"key":"10.1016\/j.imavis.2025.105872_b22","doi-asserted-by":"crossref","first-page":"6782","DOI":"10.1109\/TMM.2022.3214422","article-title":"A boundary-aware network for shadow removal","volume":"25","author":"Niu","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2025.105872_b23","doi-asserted-by":"crossref","unstructured":"L. Guo, C. Wang, W. Yang, Y. Wang, B. Wen, Boundary-aware divide and conquer: A diffusion-based solution for unsupervised shadow removal, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 13045\u201313054.","DOI":"10.1109\/ICCV51070.2023.01199"},{"key":"10.1016\/j.imavis.2025.105872_b24","doi-asserted-by":"crossref","unstructured":"Z. Chen, C. Long, L. Zhang, C. Xiao, Canet: A context-aware network for shadow removal, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 4743\u20134752.","DOI":"10.1109\/ICCV48922.2021.00470"},{"key":"10.1016\/j.imavis.2025.105872_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2024.105273","article-title":"Crformer: A cross-region transformer for shadow removal","author":"Wan","year":"2024","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2025.105872_b26","doi-asserted-by":"crossref","unstructured":"Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, B. Guo, Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 10012\u201310022.","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"10.1016\/j.imavis.2025.105872_b27","series-title":"International Conference on Machine Learning","first-page":"38039","article-title":"Random shuffle transformer for image restoration","author":"Xiao","year":"2023"},{"key":"10.1016\/j.imavis.2025.105872_b28","series-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023"},{"key":"10.1016\/j.imavis.2025.105872_b29","series-title":"European Conference on Computer Vision","first-page":"148","article-title":"Zigma: A dit-style zigzag mamba diffusion model","author":"Hu","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b30","series-title":"European Conference on Computer Vision","first-page":"12","article-title":"Localmamba: Visual state space model with windowed selective scan","author":"Huang","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b31","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2025.3530090","article-title":"Vmambair: Visual state space model for image restoration","author":"Shi","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2025.105872_b32","first-page":"103031","article-title":"Vmamba: Visual state space model","volume":"37","author":"Liu","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.imavis.2025.105872_b33","unstructured":"L. Zhu, B. Liao, Q. Zhang, X. Wang, W. Liu, X. Wang, Vision mamba: efficient visual representation learning with bidirectional state space model, in: Proceedings of the 41st International Conference on Machine Learning, ICML \u201924, 2024."},{"key":"10.1016\/j.imavis.2025.105872_b34","first-page":"10680","article-title":"Towards ghost-free shadow removal via dual hierarchical aggregation network and shadow matting gan","volume":"vol. 34, no. 07","author":"Cun","year":"2020"},{"key":"10.1016\/j.imavis.2025.105872_b35","series-title":"European Conference on Computer Vision","first-page":"361","article-title":"Style-guided shadow removal","author":"Wan","year":"2022"},{"key":"10.1016\/j.imavis.2025.105872_b36","doi-asserted-by":"crossref","unstructured":"Y. Zhu, J. Huang, X. Fu, F. Zhao, Q. Sun, Z.J. Zha, Bijective mapping network for shadow removal, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 5627\u20135636.","DOI":"10.1109\/CVPR52688.2022.00554"},{"key":"10.1016\/j.imavis.2025.105872_b37","doi-asserted-by":"crossref","first-page":"9449","DOI":"10.1109\/TMM.2023.3252271","article-title":"A decoupled multi-task network for shadow removal","volume":"25","author":"Liu","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2025.105872_b38","doi-asserted-by":"crossref","first-page":"5823","DOI":"10.1109\/TIP.2023.3323814","article-title":"Structure-informed shadow removal networks","volume":"32","author":"Liu","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2025.105872_b39","first-page":"8887","article-title":"Omnisr: Shadow removal under direct and indirect lighting","volume":"vol. 39, no. 8","author":"Xu","year":"2025"},{"key":"10.1016\/j.imavis.2025.105872_b40","article-title":"Shadowmaskformer: Mask augmented patch embedding for shadow removal","author":"Li","year":"2025","journal-title":"IEEE Trans. Artif. Intell."},{"key":"10.1016\/j.imavis.2025.105872_b41","doi-asserted-by":"crossref","unstructured":"W. Dong, H. Zhou, Y. Tian, J. Sun, X. Liu, G. Zhai, J. Chen, ShadowRefiner: Towards mask-free shadow removal via fast fourier transformer, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 6208\u20136217.","DOI":"10.1109\/CVPRW63382.2024.00625"},{"key":"10.1016\/j.imavis.2025.105872_b42","doi-asserted-by":"crossref","unstructured":"K. Mei, L. Figueroa, Z. Lin, Z. Ding, S. Cohen, V.M. Patel, Latent feature-guided diffusion models for shadow removal, in: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, 2024, pp. 4313\u20134322.","DOI":"10.1109\/WACV57701.2024.00426"},{"key":"10.1016\/j.imavis.2025.105872_b43","first-page":"2634","article-title":"DeS3: Adaptive attention-driven self and soft shadow removal using ViT similarity","volume":"vol. 38, no. 3","author":"Jin","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b44","first-page":"1474","article-title":"Hippo: Recurrent memory with optimal polynomial projections","volume":"33","author":"Gu","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.imavis.2025.105872_b45","series-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021"},{"key":"10.1016\/j.imavis.2025.105872_b46","first-page":"114147","article-title":"Scaling laws with vocabulary: Larger models deserve larger vocabularies","volume":"37","author":"Tao","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.imavis.2025.105872_b47","article-title":"Mamba in speech: Towards an alternative to self-attention","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.imavis.2025.105872_b48","series-title":"European Conference on Computer Vision","first-page":"237","article-title":"Videomamba: State space model for efficient video understanding","author":"Li","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b49","article-title":"Vivim: a video vision mamba for ultrasound video segmentation","author":"Yang","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2025.105872_b50","series-title":"European Conference on Computer Vision","first-page":"222","article-title":"Mambair: A simple baseline for image restoration with state-space model","author":"Guo","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b51","series-title":"ACM Multimedia 2024","article-title":"FreqMamba: Viewing mamba from a frequency perspective for image deraining","author":"Zou","year":"2024"},{"key":"10.1016\/j.imavis.2025.105872_b52","doi-asserted-by":"crossref","unstructured":"H. Wu, Y. Yang, H. Xu, W. Wang, J. Zhou, L. Zhu, Rainmamba: Enhanced locality learning with state space models for video deraining, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 7881\u20137890.","DOI":"10.1145\/3664647.3680916"},{"key":"10.1016\/j.imavis.2025.105872_b53","first-page":"168","article-title":"Two deterministic half-quadratic regularization algorithms for computed imaging","volume":"vol. 2","author":"Charbonnier","year":"1994"},{"key":"10.1016\/j.imavis.2025.105872_b54","unstructured":"H. Zhang, M. Cisse, Y.N. Dauphin, D. Lopez-Paz, Mixup: beyond Empirical Risk Minimization, in: International Conference on Learning Representations, 2018."},{"key":"10.1016\/j.imavis.2025.105872_b55","doi-asserted-by":"crossref","unstructured":"J. Wang, X. Li, J. Yang, Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 1788\u20131797.","DOI":"10.1109\/CVPR.2018.00192"},{"key":"10.1016\/j.imavis.2025.105872_b56","doi-asserted-by":"crossref","unstructured":"H. Le, D. Samaras, Shadow removal via shadow image decomposition, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 8578\u20138587.","DOI":"10.1109\/ICCV.2019.00867"},{"key":"10.1016\/j.imavis.2025.105872_b57","doi-asserted-by":"crossref","unstructured":"L. Qu, J. Tian, S. He, Y. Tang, R.W. Lau, Deshadownet: A multi-context embedding deep network for shadow removal, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 4067\u20134075.","DOI":"10.1109\/CVPR.2017.248"},{"key":"10.1016\/j.imavis.2025.105872_b58","unstructured":"F.A. Vasluianu, T. Seizinger, Z. Zhou, Z. Wu, C. Chen, R. Timofte, W. Dong, H. Zhou, Y. Tian, J. Chen, et al., NTIRE 2024 image shadow removal challenge report, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 6547\u20136570."},{"key":"10.1016\/j.imavis.2025.105872_b59","doi-asserted-by":"crossref","unstructured":"X. Hu, Y. Jiang, C.W. Fu, P.A. Heng, Mask-shadowgan: Learning to remove shadows from unpaired data, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 2472\u20132481.","DOI":"10.1109\/ICCV.2019.00256"},{"key":"10.1016\/j.imavis.2025.105872_b60","series-title":"European Conference on Computer Vision","first-page":"816","article-title":"Large-scale training of shadow detectors with noisily-annotated shadow examples","author":"Vicente","year":"2016"},{"key":"10.1016\/j.imavis.2025.105872_b61","doi-asserted-by":"crossref","unstructured":"L. Zhu, Z. Deng, X. Hu, C.W. Fu, X. Xu, J. Qin, P.A. Heng, Bidirectional feature pyramid network with recurrent attention residual modules for shadow detection, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 121\u2013136.","DOI":"10.1007\/978-3-030-01231-1_8"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885625004603?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885625004603?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:18:30Z","timestamp":1767961110000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885625004603"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":61,"alternative-id":["S0262885625004603"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2025.105872","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ShadowMamba: State-space model with boundary-region selective scan for shadow removal","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2025.105872","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"105872"}}