{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T16:54:28Z","timestamp":1775235268475,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:00:00Z","timestamp":1769558400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T00:00:00Z","timestamp":1775174400000},"content-version":"vor","delay-in-days":65,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Open Research Fund of Nursing Key Laboratory of Sichuan Province","award":["HLKF2024(Y)-4"],"award-info":[{"award-number":["HLKF2024(Y)-4"]}]},{"name":"Sichuan Science and Technology Program","award":["2025ZNSFSC0780"],"award-info":[{"award-number":["2025ZNSFSC0780"]}]},{"name":"Foundation of the 2023 Higher Education Science Research Plan of the China Association of Higher Education","award":["23XXK0402"],"award-info":[{"award-number":["23XXK0402"]}]},{"name":"Foundation of the Sichuan Research Center of Applied Psychology","award":["CSXL-25102"],"award-info":[{"award-number":["CSXL-25102"]}]},{"name":"Guangdong Province Ordinary Colleges and Universities Young Innovative Talents Project","award":["2023KQNCX036"],"award-info":[{"award-number":["2023KQNCX036"]}]},{"name":"Neijiang Philosophy and Social Science Planning Project","award":["NJ2025ZD007"],"award-info":[{"award-number":["NJ2025ZD007"]}]},{"name":"Key Discipline Improvement Project of Guangdong Province","award":["2022ZDJS015"],"award-info":[{"award-number":["2022ZDJS015"]}]},{"name":"Key Discipline Improvement Project of Guangdong Province","award":["2021ZDJS025"],"award-info":[{"award-number":["2021ZDJS025"]}]},{"name":"Scientific Research Capacity Improvement Project of the Doctoral Program Construction Unit of Guangdong Polytechnic Normal University","award":["22GPNUZDJS17"],"award-info":[{"award-number":["22GPNUZDJS17"]}]},{"name":"Graduate Education Demonstration Base Project of Guangdong Polytechnic Normal University","award":["2023YJSY04002"],"award-info":[{"award-number":["2023YJSY04002"]}]},{"name":"Open Research Fund of State Key Laboratory of Digital Medical Engineering","award":["2025-M10"],"award-info":[{"award-number":["2025-M10"]}]},{"name":"Research Fund of Guangdong Polytechnic Normal University","award":["2022SDKYA015"],"award-info":[{"award-number":["2022SDKYA015"]}]},{"name":"Research Fund of Guangdong Polytechnic Normal University","award":["2023SDKYA004"],"award-info":[{"award-number":["2023SDKYA004"]}]},{"name":"Open Project Program of State Key Laboratory of Computer-Aided Design and Computer Graphics","award":["A2533"],"award-info":[{"award-number":["A2533"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. King Saud Univ. Comput. Inf. Sci."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s44443-025-00441-4","type":"journal-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T16:24:02Z","timestamp":1769617442000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MEF-net: A generalized hybrid multi-entropy feature fusion neural network model for cross-subject EEG-based emotion recognition"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8586-9535","authenticated-orcid":false,"given":"Jia Wen","family":"Li","sequence":"first","affiliation":[]},{"given":"Wei Bin","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Ling","sequence":"additional","affiliation":[]},{"given":"Shuang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiang Lei","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Xiu Ying","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Mang I.","family":"Vai","sequence":"additional","affiliation":[]},{"given":"Ju Jian","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Rong Jun","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,28]]},"reference":[{"issue":"1","key":"441_CR1","doi-asserted-by":"publisher","first-page":"59","DOI":"10.3390\/s20010059","volume":"20","author":"NK Al-Qazzaz","year":"2019","unstructured":"Al-Qazzaz NK, Sabir MK, Ali SHBM, Ahmad SA, Grammer K (2019) Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers. Sensors (Basel) 20(1):59","journal-title":"Sensors (Basel)"},{"key":"441_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128354","volume":"604","author":"A Apicella","year":"2024","unstructured":"Apicella A, Arpaia P, D\u2019Errico G, Marocco D, Mastrati G, Moccaldi N, Prevete R (2024) Toward cross-subject and cross-session generalization in EEG-based emotion recognition: systematic review, taxonomy, and methods. Neurocomputing 604:128354","journal-title":"Neurocomputing"},{"issue":"2","key":"441_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2025.103264","volume":"16","author":"M \u00c7elebi","year":"2025","unstructured":"\u00c7elebi M, \u00d6zt\u00fcrk S, Kaplan K (2025) An enhanced deep learning model based on smoothed pseudo Wigner-Ville distribution technique for emotion recognition with channel selection. Ain Shams Eng J 16(2):103264","journal-title":"Ain Shams Eng J"},{"key":"441_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107347","volume":"102","author":"K Chen","year":"2025","unstructured":"Chen K, Chai S, Cai M, Liu Q, Ai Q, Zhou C, Ma L (2025a) A novel 3D feature fusion network for EEG emotion recognition. Biomed Signal Process Control 102:107347","journal-title":"Biomed Signal Process Control"},{"key":"441_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2025.110360","volume":"415","author":"Q Chen","year":"2025","unstructured":"Chen Q, Mao X, Song Y, Wang K (2025b) An EEG-based emotion recognition method by fusing multi-frequency-spatial features under multi-frequency bands. J Neurosci Methods 415:110360","journal-title":"J Neurosci Methods"},{"key":"441_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.114698","volume":"330","author":"R Chen","year":"2025","unstructured":"Chen R, Yao C, Zeng X, Ma Y, Yuan J, Li J, Zhao H, Lu X, Ren J (2025c) Large-scale cross-modal hashing via Kolmogorov-Arnold representation theorem and optimal transport. Knowl-Based Syst 330:114698","journal-title":"Knowl-Based Syst"},{"issue":"13","key":"441_CR7","doi-asserted-by":"publisher","first-page":"14923","DOI":"10.1109\/JSEN.2021.3070373","volume":"21","author":"F Demir","year":"2021","unstructured":"Demir F, Sobahi N, Siuly S, Sengur A (2021) Exploring deep learning features for automatic classification of human emotion using EEG rhythms. IEEE Sens J 21(13):14923\u201314930","journal-title":"IEEE Sens J"},{"issue":"4","key":"441_CR8","doi-asserted-by":"publisher","first-page":"1919","DOI":"10.1007\/s00521-024-10821-y","volume":"37","author":"Y Geng","year":"2025","unstructured":"Geng Y, Shi S, Hao X (2025) Deep learning-based EEG emotion recognition: a comprehensive review. Neural Comput Appl 37(4):1919\u20131950","journal-title":"Neural Comput Appl"},{"key":"441_CR9","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/ACCESS.2023.3344476","volume":"12","author":"SS Gilakjani","year":"2023","unstructured":"Gilakjani SS, Al Osman H (2023) A graph neural network for EEG-based emotion recognition with contrastive learning and generative adversarial neural network data augmentation. IEEE Access 12:113\u2013130","journal-title":"IEEE Access"},{"issue":"1","key":"441_CR10","doi-asserted-by":"publisher","DOI":"10.1186\/s40359-024-01581-4","volume":"12","author":"R Guo","year":"2024","unstructured":"Guo R, Guo H, Wang L, Chen M, Yang D, Li B (2024) Development and application of emotion recognition technology\u2014a systematic literature review. BMC Psychol 12(1):95","journal-title":"BMC Psychol"},{"issue":"2","key":"441_CR11","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/s10489-024-05976-z","volume":"55","author":"Z Guo","year":"2025","unstructured":"Guo Z, Wang J, Zhang B, Ku Y, Ma F (2025) A dual transfer learning method based on 3D-CNN and vision transformer for emotion recognition. Appl Intell 55(2):200","journal-title":"Appl Intell"},{"key":"441_CR12","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s44443-025-00076-5","volume":"37","author":"L Hu","year":"2025","unstructured":"Hu L, Tan C, Tian Y (2025) Adaptive dual-graph learning joint feature selection for EEG emotion recognition. J King Saud Univ Comput Inf Sci 37:69","journal-title":"J King Saud Univ Comput Inf Sci"},{"issue":"3","key":"441_CR13","doi-asserted-by":"publisher","first-page":"293","DOI":"10.31083\/j.jin.2019.03.601","volume":"18","author":"FZ Jahromy","year":"2019","unstructured":"Jahromy FZ, Bajoulvand A, Daliri MR (2019) Statistical algorithms for emotion classification via functional connectivity. J Integr Neurosci 18(3):293\u2013297","journal-title":"J Integr Neurosci"},{"issue":"2","key":"441_CR14","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1109\/TAFFC.2021.3126263","volume":"14","author":"S Jang","year":"2023","unstructured":"Jang S, Moon SE, Lee JS (2023) EEG-based emotional video classification via learning connectivity structure. IEEE Trans Affect Comput 14(2):1586\u20131597","journal-title":"IEEE Trans Affect Comput"},{"issue":"9","key":"441_CR15","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10091040","volume":"10","author":"DK Jeong","year":"2023","unstructured":"Jeong DK, Kim HG, Kim JY (2023) Emotion recognition using hierarchical spatiotemporal electroencephalogram information from local to global brain regions. Bioengineering 10(9):1040","journal-title":"Bioengineering"},{"issue":"1","key":"441_CR16","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3390\/math13010087","volume":"13","author":"HJ Jon","year":"2024","unstructured":"Jon HJ, Jin L, Jung H, Kim H, Kim EY (2024) EEG-RegNet: regressive emotion recognition in continuous VAD space using EEG signals. Mathematics 13(1):87","journal-title":"Mathematics"},{"issue":"1","key":"441_CR17","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra S, Muehl C, Soleymani M, Lee JS, Yazdani A, Ebrahimi T, Pun T, Nijholt A, Patras A (2012) DEAP: a database for emotion analysis using physiological signals. IEEE Trans Affect Comput 3(1):18\u201331","journal-title":"IEEE Trans Affect Comput"},{"issue":"6","key":"441_CR18","doi-asserted-by":"publisher","first-page":"2493","DOI":"10.1109\/JBHI.2022.3148109","volume":"26","author":"JW Li","year":"2022","unstructured":"Li JW, Barma S, Mak PU, Chen F, Li C, Li MT, Vai MI, Pun SH (2022) Single-channel selection for EEG-based emotion recognition using brain rhythm sequencing. IEEE J Biomed Health Inform 26(6):2493\u20132503","journal-title":"IEEE J Biomed Health Inform"},{"issue":"1","key":"441_CR19","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1109\/TCDS.2022.3149953","volume":"15","author":"JW Li","year":"2023","unstructured":"Li JW, Barma S, Pun SH, Vai MI, Mak PU (2023) Emotion recognition based on EEG brain rhythm sequencing technique. IEEE Trans Cogn Dev Syst 15(1):163\u2013174","journal-title":"IEEE Trans Cogn Dev Syst"},{"key":"441_CR20","doi-asserted-by":"publisher","DOI":"10.1177\/20552076251393279","volume":"11","author":"J Li","year":"2025","unstructured":"Li J, Feng G, Lin W, Hu X, Wang L, Lin K, Yuan J, Zhang S, Zeng X, Chen R (2025a) An innovative brain-inspired neuronal competition model for electroencephalography emotion recognition. Digit Health 11:20552076251393279","journal-title":"Digit Health"},{"issue":"1","key":"441_CR21","doi-asserted-by":"publisher","DOI":"10.3390\/e27010096","volume":"27","author":"J Li","year":"2025","unstructured":"Li J, Feng G, Ling C, Ren X, Liu X, Zhang S, Wang L, Chen Y, Zeng X, Chen R (2025b) A resource-efficient multi-entropy fusion method and its application for EEG-based emotion recognition. Entropy 27(1):96","journal-title":"Entropy"},{"issue":"10","key":"441_CR22","doi-asserted-by":"publisher","DOI":"10.3390\/e27101026","volume":"27","author":"J Li","year":"2025","unstructured":"Li J, Feng G, Ling C, Ren X, Zhang S, Liu X, Wang L, Vai MI, Lv J, Chen R (2025c) A novel multi-scale entropy approach for EEG-based lie detection with channel selection. Entropy 27(10):1026","journal-title":"Entropy"},{"issue":"10","key":"441_CR23","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.3390\/e22101092","volume":"22","author":"X Liu","year":"2020","unstructured":"Liu X, Fu Z (2020) A novel recognition strategy for epilepsy EEG signals based on conditional entropy of ordinal patterns. Entropy 22(10):1092","journal-title":"Entropy"},{"key":"441_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.110659","volume":"152","author":"S Liu","year":"2025","unstructured":"Liu S, Zheng Y, Zeng X, Yuan J, Li J, Chen R (2025a) Hierarchical cascaded networks with multi-task balanced loss for fine-grained hashing. Eng Appl Artif Intell 152:110659","journal-title":"Eng Appl Artif Intell"},{"key":"441_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129856","volume":"632","author":"Y Liu","year":"2025","unstructured":"Liu Y, Liang R, Xu S, Guo X (2025b) Structural investigations of multi-reservoir echo state networks for EEG-based emotion classification. Neurocomputing 632:129856","journal-title":"Neurocomputing"},{"issue":"4","key":"441_CR26","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1515\/bmt-2019-0327","volume":"65","author":"A Momennezhad","year":"2020","unstructured":"Momennezhad A (2020) Matching pursuit algorithm for enhancing EEG signal quality and increasing the accuracy and efficiency of emotion recognition. Biomed Eng 65(4):393\u2013404","journal-title":"Biomed Eng"},{"issue":"1","key":"441_CR27","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1515\/bmt-2019-0306","volume":"66","author":"MA Ozdemir","year":"2021","unstructured":"Ozdemir MA, Degirmenci M, Izci E, Akan A (2021) EEG-based emotion recognition with deep convolutional neural networks. Biomed Eng 66(1):43\u201357","journal-title":"Biomed Eng"},{"key":"441_CR28","doi-asserted-by":"publisher","first-page":"651","DOI":"10.3389\/fnhum.2017.00651","volume":"11","author":"A Pahor","year":"2018","unstructured":"Pahor A, Jau\u0161ovec N (2018) The effects of theta and gamma tACS on working memory and electrophysiology. Front Hum Neurosci 11:651","journal-title":"Front Hum Neurosci"},{"key":"441_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.107883","volume":"108","author":"MA Pfeffer","year":"2025","unstructured":"Pfeffer MA, Nguyen AH, Kim K, Wong JKW, Ling SH (2025) Evolving optimized transformer-hybrid systems for robust BCI signal processing using genetic algorithms. Biomed Signal Process Control 108:107883","journal-title":"Biomed Signal Process Control"},{"issue":"5","key":"441_CR30","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s10462-025-11126-9","volume":"58","author":"R Pillalamarri","year":"2025","unstructured":"Pillalamarri R, Shanmugam U (2025) A review on EEG-based multimodal learning for emotion recognition. Artif Intell Rev 58(5):131","journal-title":"Artif Intell Rev"},{"key":"441_CR31","doi-asserted-by":"publisher","first-page":"103606","DOI":"10.1109\/ACCESS.2024.3434675","volume":"12","author":"N Pusarla","year":"2024","unstructured":"Pusarla N, Singh A, Tripathi S, Vujji A, Pachori RB (2024) Exploring CEEMDAN and LMD domains entropy features for decoding EEG-based emotion patterns. IEEE Access 12:103606\u2013103625","journal-title":"IEEE Access"},{"issue":"7","key":"441_CR32","doi-asserted-by":"publisher","first-page":"1831","DOI":"10.1007\/s11760-022-02142-1","volume":"16","author":"G Roy","year":"2022","unstructured":"Roy G, Bhoi AK, Das S, Bhaumik S (2022) Cross-correlated spectral entropy-based classification of EEG motor imagery signal for triggering lower limb exoskeleton. Signal Image Video Process 16(7):1831\u20131839","journal-title":"Signal Image Video Process"},{"issue":"4","key":"441_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-024-02773-w","volume":"5","author":"R Sharma","year":"2024","unstructured":"Sharma R, Meena HK (2024) Emerging trends in EEG signal processing: a systematic review. SN Comput Sci 5(4):415","journal-title":"SN Comput Sci"},{"key":"441_CR34","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2022.1072801","volume":"5","author":"AK Singh","year":"2023","unstructured":"Singh AK, Krishnan S (2023) Trends in EEG signal feature extraction applications. Front Artif Intell 5:1072801","journal-title":"Front Artif Intell"},{"issue":"1","key":"441_CR35","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/T-AFFC.2011.25","volume":"3","author":"M Soleymani","year":"2011","unstructured":"Soleymani M, Lichtenauer J, Pun T, Pantic M (2011) A multimodal database for affect recognition and implicit tagging. IEEE Trans Affect Comput 3(1):42\u201355","journal-title":"IEEE Trans Affect Comput"},{"key":"441_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104999","volume":"85","author":"Y Tang","year":"2023","unstructured":"Tang Y, Wang Y, Zhang X, Wang Z (2023) Stiln: a novel spatial-temporal information learning network for EEG-based emotion recognition. Biomed Signal Process Control 85:104999","journal-title":"Biomed Signal Process Control"},{"issue":"17","key":"441_CR37","doi-asserted-by":"publisher","DOI":"10.3390\/app14178071","volume":"14","author":"G Udahemuka","year":"2024","unstructured":"Udahemuka G, Djouani K, Kurien AM (2024) Multimodal emotion recognition using visual, vocal and physiological signals: a review. Appl Sci 14(17):8071","journal-title":"Appl Sci"},{"key":"441_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2023.101027","volume":"18","author":"R Vempati","year":"2023","unstructured":"Vempati R, Sharma LD (2023) A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence. Results Eng 18:101027","journal-title":"Results Eng"},{"key":"441_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106249","volume":"94","author":"Y Wang","year":"2024","unstructured":"Wang Y, Zhou Y, Lu W, Wu Q, Li Q, Zhang R (2024) AC-CfC: an attention-based convolutional closed-form continuous-time neural network for raw multi-channel EEG-based emotion recognition. Biomed Signal Process Control 94:106249","journal-title":"Biomed Signal Process Control"},{"key":"441_CR40","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/s40747-024-01682-y","volume":"11","author":"Y Xu","year":"2025","unstructured":"Xu Y, Gao Y, Zhang Z, Du S (2025) Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM. Complex Intell Syst 11:62","journal-title":"Complex Intell Syst"},{"key":"441_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.114018","volume":"326","author":"X Zeng","year":"2025","unstructured":"Zeng X, Zhou J, Liu D, Yuan J, Yin M, Xu W, Liu S (2025) Large-scale fine-grained image retrieval via proxy mask pooling and multilateral semantic relations. Knowl Based Syst 326:114018","journal-title":"Knowl Based Syst"},{"key":"441_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107432","volume":"103","author":"Y Zhang","year":"2025","unstructured":"Zhang Y, Qu J, Zhang Q, Cheng C (2025) EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms. Biomed Signal Process Control 103:107432","journal-title":"Biomed Signal Process Control"},{"issue":"3","key":"441_CR43","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/TAMD.2015.2431497","volume":"7","author":"WL Zheng","year":"2015","unstructured":"Zheng WL, Lu BL (2015) Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks. IEEE Trans Auton Ment Dev 7(3):162\u2013175","journal-title":"IEEE Trans Auton Ment Dev"},{"issue":"9","key":"441_CR44","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.3390\/e24091281","volume":"24","author":"X Zuo","year":"2022","unstructured":"Zuo X, Zhang C, H\u00e4m\u00e4l\u00e4inen T, Gao H, Fu Y, Cong F (2022) Cross-subject emotion recognition using fused entropy features of EEG. Entropy 24(9):1281","journal-title":"Entropy"}],"container-title":["Journal of King Saud University Computer and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44443-025-00441-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-025-00441-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-025-00441-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T16:02:09Z","timestamp":1775232129000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44443-025-00441-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,28]]},"references-count":44,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["441"],"URL":"https:\/\/doi.org\/10.1007\/s44443-025-00441-4","relation":{},"ISSN":["1319-1578","2213-1248"],"issn-type":[{"value":"1319-1578","type":"print"},{"value":"2213-1248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,28]]},"assertion":[{"value":"16 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human ethics and consent to participate declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Clinical trial number"}}],"article-number":"104"}}