{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:55:38Z","timestamp":1773968138690,"version":"3.50.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Degree & Postgraduate Education Reform Project of Hunan","award":["2023JGZD005"],"award-info":[{"award-number":["2023JGZD005"]}]},{"name":"Degree & Postgraduate Education Reform Project of Hunan","award":["2023JGYB034"],"award-info":[{"award-number":["2023JGYB034"]}]},{"name":"Ideological & Political Work Excellence Project of Hunan Universities","award":["24JP058"],"award-info":[{"award-number":["24JP058"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Big Data"],"DOI":"10.1186\/s40537-025-01145-2","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T10:44:10Z","timestamp":1745837050000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improved RIME algorithm: CEC performance analysis and feature selection experiment of Sino foreign cooperative data sets"],"prefix":"10.1186","volume":"12","author":[{"given":"Wei","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Yuxi","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhennao","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Huiling","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Guoxi","family":"Liang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"key":"1145_CR1","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.jclepro.2013.06.007","volume":"62","author":"AEJ Wals","year":"2014","unstructured":"Wals AEJ. Sustainability in higher education in the context of the UN DESD: a review of learning and institutionalization processes. J Clean Prod. 2014;62:8\u201315.","journal-title":"J Clean Prod"},{"key":"1145_CR2","doi-asserted-by":"publisher","first-page":"1012614","DOI":"10.3389\/fpsyg.2022.1012614","volume":"13","author":"B Zou","year":"2022","unstructured":"Zou B, Wang X, Yu C. The impact of Sino-foreign cooperative universities in China on Chinese postgraduate students\u2019 learning performances in the United Kingdom and United States. Front Psychol. 2022;13:1012614\u20131012614.","journal-title":"Front Psychol"},{"issue":"3","key":"1145_CR3","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1007\/s42235-021-0050-y","volume":"18","author":"J Tu","year":"2021","unstructured":"Tu J, et al. The colony predation algorithm. J Bionic Eng. 2021;18(3):674\u2013710.","journal-title":"J Bionic Eng"},{"key":"1145_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107389","volume":"165","author":"EH Houssein","year":"2023","unstructured":"Houssein EH, et al. Liver cancer algorithm: a novel bio-inspired optimizer. Comput Biol Med. 2023;165: 107389.","journal-title":"Comput Biol Med"},{"key":"1145_CR5","doi-asserted-by":"crossref","unstructured":"Yuan C, et al. Artemisinin optimization based on malaria therapy: algorithm and applications to medical image segmentation. Displays. 2024: 102740.","DOI":"10.1016\/j.displa.2024.102740"},{"key":"1145_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128427","volume":"607","author":"C Yuan","year":"2024","unstructured":"Yuan C, et al. Polar lights optimizer: Algorithm and applications in image segmentation and feature selection. Neurocomputing. 2024;607: 128427.","journal-title":"Neurocomputing"},{"key":"1145_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115079","volume":"181","author":"I Ahmadianfar","year":"2021","unstructured":"Ahmadianfar I, et al. RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl. 2021;181: 115079.","journal-title":"Expert Syst Appl"},{"key":"1145_CR8","first-page":"1","volume":"54","author":"H Chen","year":"2022","unstructured":"Chen H, et al. Slime mould algorithm: a comprehensive review of recent variants and applications. Int J Syst Sci. 2022;54:1\u201332.","journal-title":"Int J Syst Sci"},{"key":"1145_CR9","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.future.2020.03.055","volume":"111","author":"S Li","year":"2020","unstructured":"Li S, et al. Slime mould algorithm: a new method for stochastic optimization. Future Gener Comput Syst. 2020;111:300\u201323.","journal-title":"Future Gener Comput Syst"},{"key":"1145_CR10","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari AA, et al. Harris hawks optimization: algorithm and applications. Future Gener Comput Syst Int J Esci. 2019;97:849\u201372.","journal-title":"Future Gener Comput Syst Int J Esci"},{"key":"1145_CR11","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.neucom.2023.02.010","volume":"532","author":"H Su","year":"2023","unstructured":"Su H, et al. RIME: a physics-based optimization. Neurocomputing. 2023;532:183\u2013214.","journal-title":"Neurocomputing"},{"key":"1145_CR12","unstructured":"Lian J, et al. The educational competition optimizer. Int J Syst Sci. 1\u201338."},{"key":"1145_CR13","doi-asserted-by":"crossref","unstructured":"Ahmadianfar I, et al. INFO: an efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl. 2022: 116516.","DOI":"10.1016\/j.eswa.2022.116516"},{"key":"1145_CR14","unstructured":"Zheng B, et al. The Moss Growth Optimization (MGO): concepts and performance. J Comput Des Eng. 2024: qwae080."},{"key":"1145_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110513","volume":"144","author":"X Zhou","year":"2023","unstructured":"Zhou X, et al. Random following ant colony optimization: continuous and binary variants for global optimization and feature selection. Appl Soft Comput. 2023;144: 110513.","journal-title":"Appl Soft Comput"},{"key":"1145_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105529","volume":"146","author":"B Shi","year":"2022","unstructured":"Shi B, et al. An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis. Comput Biol Med. 2022;146: 105529.","journal-title":"Comput Biol Med"},{"key":"1145_CR17","doi-asserted-by":"publisher","unstructured":"Dong R, et al. Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems. J Bionic Eng. 2023. https:\/\/doi.org\/10.1007\/s42235-023-00408-z","DOI":"10.1007\/s42235-023-00408-z"},{"issue":"1","key":"1145_CR18","first-page":"135","volume":"11","author":"R Dong","year":"2024","unstructured":"Dong R, et al. Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems. J Comput Des Eng. 2024;11(1):135\u201372.","journal-title":"J Comput Des Eng"},{"key":"1145_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110782","volume":"147","author":"M Wang","year":"2023","unstructured":"Wang M, et al. Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy. Appl Soft Comput. 2023;147: 110782.","journal-title":"Appl Soft Comput"},{"issue":"11","key":"1145_CR20","doi-asserted-by":"publisher","first-page":"12189","DOI":"10.1109\/TCYB.2021.3071860","volume":"52","author":"Y Li","year":"2022","unstructured":"Li Y, et al. Spatio-temporal-spectral hierarchical graph convolutional network with semisupervised active learning for patient-specific seizure prediction. IEEE Trans Cybern. 2022;52(11):12189\u2013204.","journal-title":"IEEE Trans Cybern"},{"key":"1145_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2024.102886","author":"X Zhou","year":"2024","unstructured":"Zhou X, et al. Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis. Artif Intell Med. 2024. https:\/\/doi.org\/10.1016\/j.artmed.2024.102886.","journal-title":"Artif Intell Med"},{"key":"1145_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106950","volume":"160","author":"MR Shi","year":"2023","unstructured":"Shi MR, et al. A grade-based search adaptive random slime mould optimizer for lupus nephritis image segmentation. Comput Biol Med. 2023;160: 106950.","journal-title":"Comput Biol Med"},{"issue":"24","key":"1145_CR23","doi-asserted-by":"publisher","first-page":"18775","DOI":"10.1007\/s00500-023-09147-z","volume":"27","author":"S Chauhan","year":"2023","unstructured":"Chauhan S, et al. Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems. Soft Comput. 2023;27(24):18775\u2013802.","journal-title":"Soft Comput"},{"key":"1145_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2023.103310","author":"JC Huang","year":"2023","unstructured":"Huang JC, et al. Differential evolution-based convolutional neural networks: an automatic architecture design method for intrusion detection in industrial control systems. Comput Secur. 2023. https:\/\/doi.org\/10.1016\/j.cose.2023.103310.","journal-title":"Comput Secur"},{"key":"1145_CR25","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.asoc.2018.11.047","volume":"76","author":"Q Tu","year":"2019","unstructured":"Tu Q, Chen XC, Liu XC. Multi-strategy ensemble grey wolf optimizer and its application to feature selection. Appl Soft Comput. 2019;76:16\u201330.","journal-title":"Appl Soft Comput"},{"key":"1145_CR26","unstructured":"Wu G, Mallipeddi R, Suganthan P. Problem definitions and evaluation criteria for the CEC 2017 competition and special session on constrained single objective real-parameter optimization. 2016."},{"issue":"3","key":"1145_CR27","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","volume":"13","author":"J Alcala-Fdez","year":"2009","unstructured":"Alcala-Fdez J, et al. KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 2009;13(3):307\u201318.","journal-title":"Soft Comput"},{"issue":"1","key":"1145_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac J, et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput. 2011;1(1):3\u201318.","journal-title":"Swarm Evol Comput"},{"key":"1145_CR29","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.knosys.2014.05.004","volume":"67","author":"AB Meng","year":"2014","unstructured":"Meng AB, et al. Crisscross optimization algorithm and its application. Knowl-Based Syst. 2014;67:218\u201329.","journal-title":"Knowl-Based Syst"},{"key":"1145_CR30","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.enconman.2016.02.013","volume":"114","author":"AB Meng","year":"2016","unstructured":"Meng AB, et al. Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm. Energy Convers Manage. 2016;114:75\u201388.","journal-title":"Energy Convers Manage"},{"key":"1145_CR31","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A. The whale optimization algorithm. Adv Eng Softw. 2016;95:51\u201367.","journal-title":"Adv Eng Softw"},{"issue":"4","key":"1145_CR32","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K. Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim. 1997;11(4):341\u201359.","journal-title":"J Glob Optim"},{"key":"1145_CR33","unstructured":"Kennedy J, Eberhart R. Particle swarm optimization. In Proceedings of ICNN'95\u2014International Conference on Neural Networks. 1995."},{"key":"1145_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2024.102740","volume":"84","author":"C Yuan","year":"2024","unstructured":"Yuan C, et al. Artemisinin optimization based on malaria therapy: algorithm and applications to medical image segmentation. Displays. 2024;84: 102740.","journal-title":"Displays"},{"key":"1145_CR35","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A. Grey wolf optimizer. Adv Eng Softw. 2014;69:46\u201361.","journal-title":"Adv Eng Softw"},{"key":"1145_CR36","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.knosys.2015.07.006","volume":"89","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S. Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl-Based Syst. 2015;89:228\u201349.","journal-title":"Knowl-Based Syst"},{"key":"1145_CR37","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S. SCA: a sine cosine algorithm for solving optimization problems. Knowl-Based Syst. 2016;96:120\u201333.","journal-title":"Knowl-Based Syst"},{"issue":"3","key":"1145_CR38","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim. 2007;39(3):459\u201371.","journal-title":"J Glob Optim"},{"issue":"2","key":"1145_CR39","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"W Chen","year":"2013","unstructured":"Chen W, et al. Particle swarm optimization with an aging leader and challengers. IEEE Trans Evol Comput. 2013;17(2):241\u201358.","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"1145_CR40","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1109\/TEVC.2018.2885075","volume":"23","author":"Y Cao","year":"2019","unstructured":"Cao Y, et al. Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions. IEEE Trans Evol Comput. 2019;23(4):718\u201331.","journal-title":"IEEE Trans Evol Comput"},{"key":"1145_CR41","doi-asserted-by":"crossref","unstructured":"Tanabe R, Fukunaga AS. Improving the search performance of SHADE using linear population size reduction. in 2014 IEEE Congress on Evolutionary Computation (CEC). 2014.","DOI":"10.1109\/CEC.2014.6900380"},{"key":"1145_CR42","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1016\/j.asoc.2017.09.039","volume":"62","author":"H Nenavath","year":"2018","unstructured":"Nenavath H, Jatoth RK. Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking. Appl Soft Comput. 2018;62:1019\u201343.","journal-title":"Appl Soft Comput"},{"issue":"5","key":"1145_CR43","doi-asserted-by":"publisher","first-page":"5052","DOI":"10.1109\/TPWRS.2018.2812711","volume":"33","author":"HJ Liang","year":"2018","unstructured":"Liang HJ, et al. A hybrid bat algorithm for economic dispatch with random wind power. IEEE Trans Power Syst. 2018;33(5):5052\u201361.","journal-title":"IEEE Trans Power Syst"},{"key":"1145_CR44","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1016\/j.energy.2015.12.096","volume":"96","author":"BR Adarsh","year":"2016","unstructured":"Adarsh BR, et al. Economic dispatch using chaotic bat algorithm. Energy. 2016;96:666\u201375.","journal-title":"Energy"},{"key":"1145_CR45","doi-asserted-by":"publisher","first-page":"6168","DOI":"10.1109\/ACCESS.2017.2695498","volume":"5","author":"Y Ling","year":"2017","unstructured":"Ling Y, Zhou YQ, Luo QF. Levy flight trajectory-based whale optimization algorithm for global optimization. IEEE Access. 2017;5:6168\u201386.","journal-title":"IEEE Access"},{"key":"1145_CR46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3392211","author":"X Xiao","year":"2024","unstructured":"Xiao X, et al. Robust k-means-type clustering for noisy data. IEEE Trans Neural Netw Learn Syst. 2024. https:\/\/doi.org\/10.1109\/TNNLS.2024.3392211.","journal-title":"IEEE Trans Neural Netw Learn Syst."},{"key":"1145_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111742","author":"JY Liao","year":"2024","unstructured":"Liao JY, et al. K-NNDP: K-means algorithm based on nearest neighbor density peak optimization and outlier removal. Knowl Based Syst. 2024. https:\/\/doi.org\/10.1016\/j.knosys.2024.111742.","journal-title":"Knowl Based Syst"},{"key":"1145_CR48","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.knosys.2018.05.009","volume":"154","author":"H Faris","year":"2018","unstructured":"Faris H, et al. An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems. Knowl-Based Syst. 2018;154:43\u201367.","journal-title":"Knowl-Based Syst"},{"key":"1145_CR49","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.ijepes.2016.04.005","volume":"83","author":"KS Reddy","year":"2016","unstructured":"Reddy KS, et al. Binary fireworks algorithm for profit based unit commitment (PBUC) problem. Int J Electr Power Energy Syst. 2016;83:270\u201382.","journal-title":"Int J Electr Power Energy Syst"},{"key":"1145_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118872","author":"AA Ewees","year":"2023","unstructured":"Ewees AA, Ismail FH, Sahlol AT. Gradient-based optimizer improved by Slime Mould Algorithm for global optimization and feature selection for diverse computation problems. Expert Syst Appl. 2023. https:\/\/doi.org\/10.1016\/j.eswa.2022.118872.","journal-title":"Expert Syst Appl"},{"key":"1145_CR51","doi-asserted-by":"publisher","first-page":"8041","DOI":"10.1109\/ACCESS.2020.2964321","volume":"8","author":"I Tumar","year":"2020","unstructured":"Tumar I, et al. Enhanced binary moth flame optimization as a feature selection algorithm to predict software fault prediction. Ieee Access. 2020;8:8041\u201355.","journal-title":"Ieee Access"},{"issue":"3\u20134","key":"1145_CR52","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s00521-013-1525-5","volume":"25","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Yang XS. Binary bat algorithm. Neural Comput Appl. 2014;25(3\u20134):663\u201381.","journal-title":"Neural Comput Appl"},{"key":"1145_CR53","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, et al. Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw. 2017;114:163\u201391.","journal-title":"Adv Eng Softw"},{"key":"1145_CR54","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.cie.2021.107469","volume":"159","author":"M Abdel-Basset","year":"2021","unstructured":"Abdel-Basset M, et al. BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: method and comprehensive analysis. Comput Ind Eng. 2021;159:22.","journal-title":"Comput Ind Eng"},{"key":"1145_CR55","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.neucom.2011.11.033","volume":"98","author":"L Wang","year":"2012","unstructured":"Wang L, et al. A novel modified binary differential evolution algorithm and its applications. Neurocomputing. 2012;98:55\u201375.","journal-title":"Neurocomputing"},{"key":"1145_CR56","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/419187","volume":"2013","author":"MS Uzer","year":"2013","unstructured":"Uzer MS, Yilmaz N, Inan O. feature selection method based on artificial bee colony algorithm and support vector machines for medical datasets classification. Sci World J. 2013;2013: 419187.","journal-title":"Sci World J"}],"container-title":["Journal of Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-025-01145-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s40537-025-01145-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-025-01145-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T12:02:55Z","timestamp":1745841775000},"score":1,"resource":{"primary":{"URL":"https:\/\/journalofbigdata.springeropen.com\/articles\/10.1186\/s40537-025-01145-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,28]]},"references-count":56,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1145"],"URL":"https:\/\/doi.org\/10.1186\/s40537-025-01145-2","relation":{},"ISSN":["2196-1115"],"issn-type":[{"value":"2196-1115","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,28]]},"assertion":[{"value":"12 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2025","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":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"107"}}