{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:06:07Z","timestamp":1772643967404,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T00:00:00Z","timestamp":1750118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T00:00:00Z","timestamp":1750118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Sichuan Engineering Research Center for Titanium Alloy Advanced Manufacturing Technology","award":["TM-2023-Z-03"],"award-info":[{"award-number":["TM-2023-Z-03"]}]},{"name":"Sichuan Engineering Research Center for Titanium Alloy Advanced Manufacturing Technology","award":["TM-2023-Z-03"],"award-info":[{"award-number":["TM-2023-Z-03"]}]},{"name":"Sichuan Engineering Research Center for Titanium Alloy Advanced Manufacturing Technology","award":["TM-2023-Z-03"],"award-info":[{"award-number":["TM-2023-Z-03"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s13042-025-02693-y","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T23:49:09Z","timestamp":1750117749000},"page":"7859-7895","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Path planning problem solved by an improved black-winged kite optimization algorithm based on multi-strategy fusion"],"prefix":"10.1007","volume":"16","author":[{"given":"Chenxing","family":"Li","sequence":"first","affiliation":[]},{"given":"Keyuan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Yanguang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,17]]},"reference":[{"issue":"3","key":"2693_CR1","doi-asserted-by":"publisher","first-page":"12666","DOI":"10.1111\/exsy.12666","volume":"38","author":"BS Yildiz","year":"2021","unstructured":"Yildiz BS, Pholdee N, Bureerat S, Yildiz AR (2021) Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm. Expert Syst 38(3):12666. https:\/\/doi.org\/10.1111\/exsy.12666","journal-title":"Expert Syst"},{"key":"2693_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123729","volume":"211","author":"J Hu","year":"2024","unstructured":"Hu J, Zou YH, Soltanov N (2024) A multilevel optimization approach for daily scheduling of combined heat and power units with integrated electrical and thermal storage. Expert Syst Appl 211:118595. https:\/\/doi.org\/10.1016\/j.eswa.2024.123729","journal-title":"Expert Syst Appl"},{"key":"2693_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.120575","volume":"333","author":"YX Shen","year":"2023","unstructured":"Shen YX, Pan Y (2023) Bim-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization. Appl Energy 333:120575. https:\/\/doi.org\/10.1016\/j.apenergy.2022.120575","journal-title":"Appl Energy"},{"key":"2693_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.141405","volume":"447","author":"CY Yang","year":"2024","unstructured":"Yang CY, Nutakki T, Alghassab MA, Alkhalaf S, Abdullaev S (2024) Optimized integration of solar energy and liquefied natural gas regasification for sustainable urban development: Dynamic modeling, data-driven optimization, and case study. J Clean Prod 447:141405. https:\/\/doi.org\/10.1016\/j.jclepro.2024.141405","journal-title":"J Clean Prod"},{"key":"2693_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2024.133573","volume":"381","author":"H Chen","year":"2025","unstructured":"Chen H, Zheng Y, Huang H, Wang Z, Yang B, Ni J (2025) A point-interval prediction framework for minimum miscibility pressure of co2-crude oil systems. Fuel 381:133573. https:\/\/doi.org\/10.1016\/j.fuel.2024.133573","journal-title":"Fuel"},{"issue":"11","key":"2693_CR6","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1007\/s11082-024-07540-y","volume":"56","author":"IP Magdalin","year":"2024","unstructured":"Magdalin IP, Kumarasabapathy N (2024) Optimized dbscan with rla-odv routing and encryption based on homomartino algorithm for energy efficient and secure v2x communication. Opt Quant Electron 56(11):1785. https:\/\/doi.org\/10.1007\/s11082-024-07540-y","journal-title":"Opt Quant Electron"},{"issue":"11","key":"2693_CR7","doi-asserted-by":"publisher","first-page":"4959","DOI":"10.1007\/s13042-024-02198-0","volume":"15","author":"Z Jiang","year":"2024","unstructured":"Jiang Z, Liu H, Li J, Li X, Ma J, Yu PS (2024) Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk. Int J Mach Learn Cybern 15(11):4959\u20134971. https:\/\/doi.org\/10.1007\/s13042-024-02198-0","journal-title":"Int J Mach Learn Cybern"},{"key":"2693_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-024-02271-8","author":"A Qtaish","year":"2024","unstructured":"Qtaish A, Braik M, Albashish D, Alshammari MT, Alreshidi A, Alreshidi EJ (2024) Correction: Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection. Int J Mach Learn Cybern. https:\/\/doi.org\/10.1007\/s13042-024-02271-8","journal-title":"Int J Mach Learn Cybern"},{"issue":"12","key":"2693_CR9","doi-asserted-by":"publisher","first-page":"5683","DOI":"10.1007\/s13042-024-02273-6","volume":"15","author":"C Ouyang","year":"2024","unstructured":"Ouyang C, Liu X, Zhu D, Zheng Y, Zhou C, Zou C (2024) A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy. Int J Mach Learn Cybern 15(12):5683\u20135723. https:\/\/doi.org\/10.1007\/s13042-024-02273-6","journal-title":"Int J Mach Learn Cybern"},{"issue":"12","key":"2693_CR10","doi-asserted-by":"publisher","first-page":"6107","DOI":"10.1007\/s13042-024-02308-y","volume":"15","author":"N Al-qudah","year":"2024","unstructured":"Al-qudah N, Abed-alguni BH (2024) Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm. Int J Mach Learn Cybern 15(12):6107\u20136148. https:\/\/doi.org\/10.1007\/s13042-024-02308-y","journal-title":"Int J Mach Learn Cybern"},{"key":"2693_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-024-02197-1","author":"H Xia","year":"2024","unstructured":"Xia H, Chen L, Xu H (2024) Multi-strategy dung beetle optimizer for global optimization and feature selection. Int J Mach Learn Cybern. https:\/\/doi.org\/10.1007\/s13042-024-02197-1","journal-title":"Int J Mach Learn Cybern"},{"issue":"10","key":"2693_CR12","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/JAS.2021.1004129","volume":"8","author":"J Tang","year":"2021","unstructured":"Tang J, Liu G, Pan QT (2021) A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends. IEEE\/CAA J Aut Sin 8(10):1627\u20131643. https:\/\/doi.org\/10.1109\/JAS.2021.1004129","journal-title":"IEEE\/CAA J Aut Sin"},{"issue":"6","key":"2693_CR13","doi-asserted-by":"publisher","first-page":"4237","DOI":"10.1007\/s10462-020-09952-0","volume":"54","author":"AE Ezugwu","year":"2021","unstructured":"Ezugwu AE, Shukla AK, Nath R, Akinyelu AA, Agushaka JO, Chiroma H, Muhuri PK (2021) Metaheuristics: A comprehensive overview and classification along with bibliometric analysis. Artif Intell Rev 54(6):4237\u20134316","journal-title":"Artif Intell Rev"},{"key":"2693_CR14","doi-asserted-by":"crossref","unstructured":"Amini-Valashani M, Mirzakuchaki S (2024) Performance Evaluation of Latest Meta-Heuristic Algorithms in Finding Optimum Value of Mathematical Functions and Problems. Arab J Sci Eng","DOI":"10.1007\/s13369-024-09807-8"},{"key":"2693_CR15","doi-asserted-by":"publisher","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN\u201995 - International Conference on Neural Networks, pp. 1942\u20131948. IEEE. https:\/\/doi.org\/10.1109\/ICNN.1995.488968 . https:\/\/ieeexplore.ieee.org\/document\/488968","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"1","key":"2693_CR16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M Dorigo","year":"1996","unstructured":"Dorigo M, Maniezzo V, Colorni A (1996) Ant system: Optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern Part B (Cybern) 26(1):29\u201341. https:\/\/doi.org\/10.1109\/3477.484436","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"key":"2693_CR17","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report, Erciyes University, Engineering Faculty, Computer Engineering Department. http:\/\/abc.erciyes.edu.tr\/pub\/tr06_2005.pdf"},{"key":"2693_CR18","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 (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367. https:\/\/doi.org\/10.1016\/j.advengsoft.2016.01.008","journal-title":"Adv Eng Softw"},{"key":"2693_CR19","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 (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"issue":"1","key":"2693_CR20","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue J, Shen B (2020) A novel swarm intelligence optimization approach: Sparrow search algorithm. Syst Sci Contr Eng 8(1):22\u201334. https:\/\/doi.org\/10.1080\/21642583.2019.1708830","journal-title":"Syst Sci Contr Eng"},{"key":"2693_CR21","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, Mirjalili S, Faris H, Aljarah I (2019) Harris hawks optimization: Algorithm and applications. Futur Gener Comput Syst 97:849\u2013872. https:\/\/doi.org\/10.1016\/j.future.2019.02.028","journal-title":"Futur Gener Comput Syst"},{"issue":"7","key":"2693_CR22","doi-asserted-by":"publisher","first-page":"7305","DOI":"10.1007\/s11227-022-04959-6","volume":"79","author":"J Xue","year":"2023","unstructured":"Xue J, Shen B (2023) Dung beetle optimizer: A new bio-inspired metaheuristic algorithm for global optimization problems. J Supercomput 79(7):7305\u20137336. https:\/\/doi.org\/10.1007\/s11227-022-04959-6","journal-title":"J Supercomput"},{"issue":"4","key":"2693_CR23","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s10462-024-10723-4","volume":"57","author":"J Wang","year":"2024","unstructured":"Wang J, Wang W, Hu X, Qiu L, Zang H (2024) Black-winged kite algorithm: A nature-inspired meta-heuristic for solving benchmark functions and engineering problems. Artif Intell Rev 57(4):98\u2013115. https:\/\/doi.org\/10.1007\/s10462-024-10723-4","journal-title":"Artif Intell Rev"},{"issue":"3","key":"2693_CR24","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/s10462-024-11023-7","volume":"58","author":"Y Xiao","year":"2025","unstructured":"Xiao Y, Cui H, Khurma RA, Castillo PA (2025) Artificial lemming algorithm: A novel bionic meta-heuristic technique for solving real-world engineering optimization problems. Artif Intell Rev 58(3):84","journal-title":"Artif Intell Rev"},{"key":"2693_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102464","volume":"61","author":"Y Xiao","year":"2024","unstructured":"Xiao Y, Cui H, Hussien AG, Hashim FA (2024) Msao: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications. Adv Eng Inform 61:102464. https:\/\/doi.org\/10.1016\/j.aei.2024.102464","journal-title":"Adv Eng Inform"},{"key":"2693_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2024.110085","volume":"160","author":"R Dong","year":"2024","unstructured":"Dong R, Sun L, Cai Z, Heidari AA, Liu L, Chen H (2024) An advanced kernel search optimization for dynamic economic emission dispatch with new energy sources. Int J Electr Power Energy Syst 160:110085. https:\/\/doi.org\/10.1016\/j.ijepes.2024.110085","journal-title":"Int J Electr Power Energy Syst"},{"key":"2693_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2024.103089","volume":"24","author":"G Ahmed","year":"2024","unstructured":"Ahmed G, Eltayeb A, Alyazidi NM (2024) Improved particle swarm optimization for fractional order pid control design in robotic manipulator system: A performance analysis. Results Contr Opt 24:103089. https:\/\/doi.org\/10.1016\/j.rineng.2024.103089","journal-title":"Results Contr Opt"},{"issue":"9","key":"2693_CR28","doi-asserted-by":"publisher","first-page":"1712","DOI":"10.3390\/w15091712","volume":"15","author":"R Bhavya","year":"2023","unstructured":"Bhavya R, Elango L (2023) Ant-inspired metaheuristic algorithms for combinatorial optimization problems in water resources management. Water 15(9):1712. https:\/\/doi.org\/10.3390\/w15091712","journal-title":"Water"},{"key":"2693_CR29","doi-asserted-by":"publisher","first-page":"2529","DOI":"10.1109\/TCC.2022.3216541","volume":"11","author":"B Cheng","year":"2023","unstructured":"Cheng B, Fang YW, Peng W (2023) Improved sparrow search algorithm based on normal cloud model and niche recombination strategy. IEEE Trans Cloud Comput 11:2529\u20132545. https:\/\/doi.org\/10.1109\/TCC.2022.3216541","journal-title":"IEEE Trans Cloud Comput"},{"key":"2693_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107574","volume":"109","author":"AA Dehkordi","year":"2021","unstructured":"Dehkordi AA, Sadiq AS, Mirjalili S, Ghafoor KZ (2021) Nonlinear-based chaotic harris hawks optimizer: Algorithm and internet of vehicles application. Appl Soft Comput 109:107574. https:\/\/doi.org\/10.1016\/j.asoc.2021.107574","journal-title":"Appl Soft Comput"},{"issue":"19","key":"2693_CR31","doi-asserted-by":"publisher","first-page":"8624","DOI":"10.3390\/app14198624","volume":"14","author":"D Zhang","year":"2024","unstructured":"Zhang D, Wang Z, Sun F (2024) Somersault foraging and elite opposition-based learning dung beetle optimization algorithm. Appl Sci 14(19):8624. https:\/\/doi.org\/10.3390\/app14198624","journal-title":"Appl Sci"},{"issue":"23","key":"2693_CR32","doi-asserted-by":"publisher","first-page":"7898","DOI":"10.3390\/s21237898","volume":"21","author":"JR S\u00e1nchez-Ib\u00e1\u00f1ez","year":"2021","unstructured":"S\u00e1nchez-Ib\u00e1\u00f1ez JR, P\u00e9rez-del-Pulgar CJ, Garc\u00eda-Cerezo A (2021) Path planning for autonomous mobile robots: A review. Sensors 21(23):7898. https:\/\/doi.org\/10.3390\/s21237898","journal-title":"Sensors"},{"key":"2693_CR33","doi-asserted-by":"publisher","unstructured":"Ganguly T, Chaudhuri R, Deb S (2024) ra*: Re-planned a* technique for point-to-point robot navigation in dynamic environments. In: 2024 IEEE International Symposium on Smart Electronic Systems (iSES), pp. 338\u2013343. https:\/\/doi.org\/10.1109\/iSES63344.2024.00077","DOI":"10.1109\/iSES63344.2024.00077"},{"key":"2693_CR34","doi-asserted-by":"publisher","unstructured":"Sariff N, Buniyamin N (2006) An overview of autonomous mobile robot path planning algorithms. In: 2006 4th Student Conference on Research and Development, pp. 183\u2013188. https:\/\/doi.org\/10.1109\/SCORED.2006.4339335","DOI":"10.1109\/SCORED.2006.4339335"},{"issue":"4","key":"2693_CR35","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/70.508439","volume":"12","author":"LE Kavraki","year":"1996","unstructured":"Kavraki LE, Svestka P, Latombe J-C, Overmars MH (1996) Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans Robot Autom 12(4):566\u2013580. https:\/\/doi.org\/10.1109\/70.508439","journal-title":"IEEE Trans Robot Autom"},{"key":"2693_CR36","doi-asserted-by":"publisher","unstructured":"Peng Y, Liu Y, Wang L, Ge Y, Yan W, Feng L, Du Y (2025) Data-empowered trajectory planning based on two-phase deep reinforcement learning method. IEEE Internet Things J 1\u20131. https:\/\/doi.org\/10.1109\/JIOT.2025.3545013","DOI":"10.1109\/JIOT.2025.3545013"},{"key":"2693_CR37","doi-asserted-by":"publisher","unstructured":"Zhang H, Dai H, Qiu Y, Yu E, Zhou R, Wang W, Wang J, Chen G (2025) Optimizing monitoring utility of unmanned aerial vehicles considering adverse effects. IEEE Trans Mob Comput 1\u201317. https:\/\/doi.org\/10.1109\/TMC.2025.3543399","DOI":"10.1109\/TMC.2025.3543399"},{"issue":"16","key":"2693_CR38","doi-asserted-by":"publisher","first-page":"2450205","DOI":"10.1142\/S0218127424502055","volume":"34","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Lu J, Zhao C, Li Z, Yan J (2024) Chaos optimization algorithms: A survey. Int J Bifurc Chaos 34(16):2450205. https:\/\/doi.org\/10.1142\/S0218127424502055","journal-title":"Int J Bifurc Chaos"},{"key":"2693_CR39","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1007\/s11071-022-07838-0","volume":"111","author":"H Ming","year":"2023","unstructured":"Ming H, Hu H, Lv F, Yu R (2023) A high-performance hybrid random number generator based on nondegenerate coupled chaos and its practical implementation. Nonlinear Dyn 111:735\u2013752. https:\/\/doi.org\/10.1007\/s11071-022-07838-0","journal-title":"Nonlinear Dyn"},{"issue":"6","key":"2693_CR40","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/s10462-024-10716-3","volume":"57","author":"S Fu","year":"2024","unstructured":"Fu S, Li K, Huang H, Ma C, Fan Q, Zhu Y (2024) Red-billed blue magpie optimizer: A novel metaheuristic algorithm for 2D\/3D UAV path planning and engineering design problems. Artif Intell Rev 57(6):134","journal-title":"Artif Intell Rev"},{"issue":"3","key":"2693_CR41","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1007\/s10462-024-11053-1","volume":"58","author":"S Fu","year":"2025","unstructured":"Fu S, Ma C, Li K, Xie C, Fan Q, Huang H, Xie J, Zhang G, Yu M (2025) Modified LSHADE-SPACMA with new mutation strategy and external archive mechanism for numerical optimization and point cloud registration. Artif Intell Rev 58(3):72","journal-title":"Artif Intell Rev"},{"key":"2693_CR42","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.eswa.2016.02.007","volume":"55","author":"M Torres","year":"2016","unstructured":"Torres M, Pelta DA, Verdegay JL, Torres JC (2016) Coverage path planning with unmanned aerial vehicles for 3d terrain reconstruction. Expert Syst Appl 55:441\u2013451. https:\/\/doi.org\/10.1016\/j.eswa.2016.02.007","journal-title":"Expert Syst Appl"},{"issue":"10","key":"2693_CR43","doi-asserted-by":"publisher","first-page":"15007","DOI":"10.1007\/s11042-022-14041-1","volume":"82","author":"G Ning","year":"2023","unstructured":"Ning G (2023) Two-dimensional Otsu multi-threshold image segmentation based on hybrid whale optimization algorithm. Multimed Tools Appl 82(10):15007\u201315026","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"2693_CR44","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain AK, Murty MN, Flynn PJ (1999) Data clustering: a review. ACM Comput Surv 31(3):264\u2013323. https:\/\/doi.org\/10.1145\/331499.331504","journal-title":"ACM Comput Surv"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02693-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-025-02693-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02693-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T17:02:06Z","timestamp":1760547726000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-025-02693-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,17]]},"references-count":44,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["2693"],"URL":"https:\/\/doi.org\/10.1007\/s13042-025-02693-y","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,17]]},"assertion":[{"value":"22 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 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":"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":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"We declare that this manuscript is original, has not been published before and is not currently being considered for publication elsewhere.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Original statement"}}]}}