{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T16:00:18Z","timestamp":1786982418815,"version":"build-2736575974"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"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":["Evolving Systems"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1007\/s12530-026-09857-3","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T10:31:17Z","timestamp":1783938677000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An explainable reconfiguration-based artificial electric field algorithm for industrial and reliability-redundancy allocation problems"],"prefix":"10.1007","volume":"17","author":[{"given":"Dikshit","family":"Chauhan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nitin","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9179-3151","authenticated-orcid":false,"given":"Anupam","family":"Yadav","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,13]]},"reference":[{"issue":"9","key":"9857_CR1","doi-asserted-by":"publisher","first-page":"3794","DOI":"10.1016\/j.eswa.2012.12.093","volume":"40","author":"LD Afonso","year":"2013","unstructured":"Afonso LD, Mariani VC, dos Santos Coelho L (2013) Modified imperialist competitive algorithm based on attraction and repulsion concepts for reliability-redundancy optimization. Expert Syst Appl 40(9):3794\u20133802","journal-title":"Expert Syst Appl"},{"key":"9857_CR2","doi-asserted-by":"crossref","unstructured":"Anita, Yadav A (2019) Aefa: Artificial electric field algorithm for global optimization. Swarm Evol Comput 48:93\u2013108","DOI":"10.1016\/j.swevo.2019.03.013"},{"key":"9857_CR3","doi-asserted-by":"crossref","unstructured":"Anita, Yadav A, Kumar N (2020) Artificial electric field algorithm for engineering optimization problems. Expert Syst Appl 149:113308","DOI":"10.1016\/j.eswa.2020.113308"},{"key":"9857_CR4","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.ress.2017.12.019","volume":"172","author":"MA Ardakan","year":"2018","unstructured":"Ardakan MA, Rezvan MT (2018) Multi-objective optimization of reliability-redundancy allocation problem with cold-standby strategy using nsga-ii. Reliab Eng Syst Saf 172:225\u2013238","journal-title":"Reliab Eng Syst Saf"},{"key":"9857_CR5","doi-asserted-by":"crossref","unstructured":"Ashraf Z, Muhuri PK, Lohani QMD (2015) Particle swam optimization based reliability-redundancy allocation in a type-2 fuzzy environment. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 1212\u20131219","DOI":"10.1109\/CEC.2015.7257027"},{"key":"9857_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compstruc.2016.03.001","volume":"169","author":"A Askarzadeh","year":"2016","unstructured":"Askarzadeh A (2016) A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Computers & Structures 169:1\u201312","journal-title":"Computers & Structures"},{"key":"9857_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108734","volume":"227","author":"AE Baladeh","year":"2022","unstructured":"Baladeh AE, Taghipour S (2022) Reliability optimization of dynamic k-out-of-n systems with competing failure modes. Reliab Eng Syst Saf 227:108734","journal-title":"Reliab Eng Syst Saf"},{"issue":"3","key":"9857_CR8","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/s12530-023-09518-9","volume":"15","author":"D Chauhan","year":"2024","unstructured":"Chauhan D, Yadav A, Neri F (2024) A multi-agent optimization algorithm and its application to training multilayer perceptron models. Evol Syst 15(3):849\u2013879","journal-title":"Evol Syst"},{"issue":"1","key":"9857_CR9","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, Garc\u00eda S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3\u201318","journal-title":"Swarm Evol Comput"},{"issue":"8","key":"9857_CR10","doi-asserted-by":"publisher","first-page":"8457","DOI":"10.1007\/s12652-020-02580-0","volume":"12","author":"G Dhiman","year":"2021","unstructured":"Dhiman G, Garg M, Nagar A, Kumar V, Dehghani M (2021) A novel algorithm for global optimization: rat swarm optimizer. J Ambient Intell Humaniz Comput 12(8):8457\u20138482","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"9857_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2015.05.001","volume":"24","author":"H Garg","year":"2015","unstructured":"Garg H (2015) An efficient biogeography based optimization algorithm for solving reliability optimization problems. Swarm Evol Comput 24:1\u201310","journal-title":"Swarm Evol Comput"},{"issue":"9","key":"9857_CR12","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1016\/j.ress.2005.11.053","volume":"91","author":"M Gen","year":"2006","unstructured":"Gen M, Yun YS (2006) Soft computing approach for reliability optimization: State-of-the-art survey. Reliability Engineering & System Safety 91(9):1008\u20131026","journal-title":"Reliability Engineering & System Safety"},{"key":"9857_CR13","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.ress.2017.03.009","volume":"164","author":"H Gholinezhad","year":"2017","unstructured":"Gholinezhad H, Hamadani AZ (2017) A new model for the redundancy allocation problem with component mixing and mixed redundancy strategy. Reliability Engineering & System Safety 164:66\u201373","journal-title":"Reliability Engineering & System Safety"},{"issue":"1","key":"9857_CR14","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.ejor.2004.06.006","volume":"171","author":"C Ha","year":"2006","unstructured":"Ha C, Kuo W (2006) Reliability redundancy allocation: An improved realization for nonconvex nonlinear programming problems. Eur J Oper Res 171(1):24\u201338","journal-title":"Eur J Oper Res"},{"key":"9857_CR15","doi-asserted-by":"publisher","first-page":"103249","DOI":"10.1016\/j.engappai.2019.103249","volume":"87","author":"V Hayyolalam","year":"2020","unstructured":"Hayyolalam V, Kazem AAP (2020) Black widow optimization algorithm: a novel meta-heuristic approach for solving engineering optimization problems. Eng Appl Artif Intell 87:103249","journal-title":"Eng Appl Artif Intell"},{"key":"9857_CR16","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.isatra.2015.09.015","volume":"59","author":"Q He","year":"2015","unstructured":"He Q, Xiangtao H, Ren H, Zhang H (2015) A novel artificial fish swarm algorithm for solving large-scale reliability-redundancy application problem. ISA Trans 59:105\u2013113","journal-title":"ISA Trans"},{"key":"9857_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107290","volume":"206","author":"T-J Hsieh","year":"2021","unstructured":"Hsieh T-J (2021) Component mixing with a cold standby strategy for the redundancy allocation problem. Reliab Eng Syst Saf 206:107290","journal-title":"Reliab Eng Syst Saf"},{"issue":"4","key":"9857_CR18","first-page":"1297","volume":"218","author":"Y-C Hsieh","year":"2011","unstructured":"Hsieh Y-C, You P-S (2011) An effective immune based two-phase approach for the optimal reliability-redundancy allocation problem. Appl Math Comput 218(4):1297\u20131307","journal-title":"Appl Math Comput"},{"key":"9857_CR19","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.ress.2015.06.002","volume":"142","author":"C-L Huang","year":"2015","unstructured":"Huang C-L (2015) A particle-based simplified swarm optimization algorithm for reliability redundancy allocation problems. Reliability Engineering & System Safety 142:221\u2013230","journal-title":"Reliability Engineering & System Safety"},{"key":"9857_CR20","doi-asserted-by":"publisher","first-page":"103541","DOI":"10.1016\/j.engappai.2020.103541","volume":"90","author":"S Kaur","year":"2020","unstructured":"Kaur S, Awasthi LK, Sangal AL, Dhiman G (2020) Tunicate swarm algorithm: A new bio-inspired based metaheuristic paradigm for global optimization. Eng Appl Artif Intell 90:103541","journal-title":"Eng Appl Artif Intell"},{"key":"9857_CR21","doi-asserted-by":"publisher","first-page":"113338","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113338","journal-title":"Expert Syst Appl"},{"key":"9857_CR22","doi-asserted-by":"publisher","DOI":"10.1108\/13552510610705928","author":"H-G Kim","year":"2006","unstructured":"Kim H-G, Bae C-O, Park D-J (2006) Reliability-redundancy optimization using simulated annealing algorithms. J Qual Maintenance Eng. https:\/\/doi.org\/10.1108\/13552510610705928","journal-title":"J Qual Maintenance Eng"},{"key":"9857_CR23","doi-asserted-by":"publisher","first-page":"100693","DOI":"10.1016\/j.swevo.2020.100693","volume":"56","author":"A Kumar","year":"2020","unstructured":"Kumar A, Wu G, Ali MZ, Mallipeddi R, Suganthan PN, Das S (2020) A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol Comput 56:100693","journal-title":"Swarm Evol Comput"},{"key":"9857_CR24","doi-asserted-by":"crossref","unstructured":"Kundu T, Garg H (2022) A hybrid tlnnabc algorithm for reliability optimization and engineering design problems. Engineering with Computers, pages 1\u201345","DOI":"10.1007\/s00366-021-01572-8"},{"key":"9857_CR25","doi-asserted-by":"publisher","first-page":"108340","DOI":"10.1016\/j.ress.2022.108340","volume":"221","author":"Y-F Li","year":"2022","unstructured":"Li Y-F, Zhang H (2022) The methods for exactly solving redundancy allocation optimization for multi-state series-parallel systems. Reliability Engineering & System Safety 221:108340","journal-title":"Reliability Engineering & System Safety"},{"issue":"1","key":"9857_CR26","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s00521-010-0432-2","volume":"20","author":"Y Li","year":"2011","unstructured":"Li Y, Deng S, Xiao D (2011) A novel hash algorithm construction based on chaotic neural network. Neural Comput Appl 20(1):133\u2013141","journal-title":"Neural Comput Appl"},{"issue":"4","key":"9857_CR27","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1016\/j.asoc.2010.05.007","volume":"10","author":"TW Liao","year":"2010","unstructured":"Liao TW (2010) Two hybrid differential evolution algorithms for engineering design optimization. Appl Soft Comput 10(4):1188\u20131199","journal-title":"Appl Soft Comput"},{"key":"9857_CR28","doi-asserted-by":"publisher","first-page":"1853","DOI":"10.1007\/s11831-020-09443-z","volume":"28","author":"Z Meng","year":"2021","unstructured":"Meng Z, Li G, Wang X, Sait SM, Y\u0131ld\u0131z AR (2021) A comparative study of metaheuristic algorithms for reliability-based design optimization problems. Archives of Computational Methods in Engineering 28:1853\u20131869","journal-title":"Archives of Computational Methods in Engineering"},{"key":"9857_CR29","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.asoc.2017.01.008","volume":"53","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH (2017) Chaotic gravitational constants for the gravitational search algorithm. Appl Soft Comput 53:407\u2013419","journal-title":"Appl Soft Comput"},{"issue":"1\u20132","key":"9857_CR30","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1504\/IJAIP.2023.130813","volume":"25","author":"P Monalisa","year":"2023","unstructured":"Monalisa P, Satchidananda D, Kumar JA (2023) Multi-objective artificial bee colony algorithm in redundancy allocation problem. International Journal of Advanced Intelligence Paradigms 25(1\u20132):24\u201350","journal-title":"International Journal of Advanced Intelligence Paradigms"},{"key":"9857_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.108190","volume":"220","author":"R Nath","year":"2022","unstructured":"Nath R, Muhuri PK (2022) Evolutionary optimization based solution approaches for many objective reliability-redundancy allocation problem. Reliab Eng Syst Saf 220:108190","journal-title":"Reliab Eng Syst Saf"},{"issue":"2","key":"9857_CR32","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1109\/COMST.2020.2971781","volume":"22","author":"J Navarro-Ortiz","year":"2020","unstructured":"Navarro-Ortiz J, Romero-Diaz P, Sendra S, Ameigeiras P, Ramos-Munoz JJ, Lopez-Soler JM (2020) A survey on 5g usage scenarios and traffic models. IEEE Communications Surveys & Tutorials 22(2):905\u2013929","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"2","key":"9857_CR33","first-page":"643","volume":"198","author":"MGH Omran","year":"2008","unstructured":"Omran MGH, Mahdavi M (2008) Global-best harmony search. Appl Math Comput 198(2):643\u2013656","journal-title":"Appl Math Comput"},{"key":"9857_CR34","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.ress.2018.09.005","volume":"181","author":"ZY Ouyang","year":"2019","unstructured":"Ouyang ZY, Liu S-J, Jiang T (2019) An improved particle swarm optimization algorithm for reliability-redundancy allocation problem with mixed redundancy strategy and heterogeneous components. Reliab Eng Syst Saf 181:62\u201374","journal-title":"Reliab Eng Syst Saf"},{"key":"9857_CR35","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.ins.2015.01.020","volume":"305","author":"H Ouyang","year":"2015","unstructured":"Ouyang H, Gao L, Li S, Kong X (2015) Improved novel global harmony search with a new relaxation method for reliability optimization problems. Inf Sci 305:14\u201355","journal-title":"Inf Sci"},{"issue":"1","key":"9857_CR36","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.isatra.2010.08.005","volume":"50","author":"W Peifeng","year":"2011","unstructured":"Peifeng W, Gao L, Zou D, Li S (2011) An improved particle swarm optimization algorithm for reliability problems. ISA Trans 50(1):71\u201381","journal-title":"ISA Trans"},{"key":"9857_CR37","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.ress.2018.11.008","volume":"183","author":"A Peiravi","year":"2019","unstructured":"Peiravi A, Karbasian M, Ardakan MA, Coit DW (2019) Reliability optimization of series-parallel systems with k-mixed redundancy strategy. Reliability Engineering & System Safety 183:17\u201328","journal-title":"Reliability Engineering & System Safety"},{"key":"9857_CR38","doi-asserted-by":"crossref","unstructured":"Pierezan J, Coelho LDS (2018) Coyote optimization algorithm: a new metaheuristic for global optimization problems. In 2018 IEEE congress on evolutionary computation (CEC), pages 1\u20138. IEEE","DOI":"10.1109\/CEC.2018.8477769"},{"key":"9857_CR39","unstructured":"Wu G, Mallipeddi R, Suganthan PN (2017) Problem definitions and evaluation criteria for the cec 2017 competition on constrained real-parameter optimization. National University of Defense Technology, Changsha, Hunan, PR China and Kyungpook National University, Daegu, South Korea and Nanyang Technological University, Singapore, Technical Report"},{"issue":"13","key":"9857_CR40","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) Gsa: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"issue":"7","key":"9857_CR41","doi-asserted-by":"publisher","first-page":"e12717","DOI":"10.1111\/exsy.12717","volume":"38","author":"SA Rather","year":"2021","unstructured":"Rather SA, Bala PS (2021) Constriction coefficient based particle swarm optimization and gravitational search algorithm for multilevel image thresholding. Expert Syst 38(7):e12717","journal-title":"Expert Syst"},{"key":"9857_CR42","first-page":"4765","volume":"30","author":"M Scott","year":"2017","unstructured":"Scott M, Su-In L et al (2017) A unified approach to interpreting model predictions. Adv Neural Inf Process Syst 30:4765\u20134774","journal-title":"Adv Neural Inf Process Syst"},{"issue":"2","key":"9857_CR43","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1007\/s001580050176","volume":"21","author":"O Sigmund","year":"2001","unstructured":"Sigmund O (2001) A 99 line topology optimization code written in matlab. Struct Multidiscip Optim 21(2):120\u2013127","journal-title":"Struct Multidiscip Optim"},{"key":"9857_CR44","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.applthermaleng.2014.11.076","volume":"79","author":"L Sun","year":"2015","unstructured":"Sun L, Liu C (2015) Reliable and flexible steam and power system design. Appl Therm Eng 79:184\u2013191","journal-title":"Appl Therm Eng"},{"key":"9857_CR45","doi-asserted-by":"publisher","DOI":"10.1017\/9781316163047","volume-title":"Reliability and availability engineering: modeling, analysis, and applications","author":"KS Trivedi","year":"2017","unstructured":"Trivedi KS, Bobbio A (2017) Reliability and availability engineering: modeling, analysis, and applications. Cambridge University Press"},{"issue":"11","key":"9857_CR46","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1080\/0305215X.2012.729055","volume":"45","author":"E Valian","year":"2013","unstructured":"Valian E, Valian E (2013) A cuckoo search algorithm by l\u00e9vy flights for solving reliability redundancy allocation problems. Eng Optim 45(11):1273\u20131286","journal-title":"Eng Optim"},{"key":"9857_CR47","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.ress.2016.08.026","volume":"166","author":"C-T Yeh","year":"2017","unstructured":"Yeh C-T, Fiondella L (2017) Optimal redundancy allocation to maximize multi-state computer network reliability subject to correlated failures. Reliability Engineering & System Safety 166:138\u2013150","journal-title":"Reliability Engineering & System Safety"},{"key":"9857_CR48","doi-asserted-by":"publisher","first-page":"105582","DOI":"10.1016\/j.asoc.2019.105582","volume":"83","author":"W-C Yeh","year":"2019","unstructured":"Yeh W-C (2019) Solving cold-standby reliability redundancy allocation problems using a new swarm intelligence algorithm. Appl Soft Comput 83:105582","journal-title":"Appl Soft Comput"},{"key":"9857_CR49","doi-asserted-by":"publisher","first-page":"107321","DOI":"10.1016\/j.asoc.2021.107321","volume":"106","author":"W-C Yeh","year":"2021","unstructured":"Yeh W-C, Yi-Zhu S, Gao X-Z, Cheng-Feng H, Wang J, Huang C-L (2021) Simplified swarm optimization for bi-objection active reliability redundancy allocation problems. Appl Soft Comput 106:107321","journal-title":"Appl Soft Comput"},{"key":"9857_CR50","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.cie.2019.07.030","volume":"136","author":"K Yi","year":"2019","unstructured":"Yi K, Xiao H, Kou G, Peng R (2019) Trade-off between maintenance and protection for multi-state performance sharing systems with transmission loss. Computers & Industrial Engineering 136:305\u2013315","journal-title":"Computers & Industrial Engineering"},{"issue":"4","key":"9857_CR51","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1016\/0360-8352(96)00041-1","volume":"30","author":"T Yokota","year":"1996","unstructured":"Yokota T, Gen M, Li Y-X (1996) Genetic algorithm for non-linear mixed integer programming problems and its applications. Computers & industrial engineering 30(4):905\u2013917","journal-title":"Computers & industrial engineering"},{"issue":"2","key":"9857_CR52","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.cie.2009.11.003","volume":"58","author":"D Zou","year":"2010","unstructured":"Zou D, Gao L, Jianhua W, Li S, Li Y (2010) A novel global harmony search algorithm for reliability problems. Computers & Industrial Engineering 58(2):307\u2013316","journal-title":"Computers & Industrial Engineering"},{"issue":"4","key":"9857_CR53","doi-asserted-by":"publisher","first-page":"4642","DOI":"10.1016\/j.eswa.2010.09.120","volume":"38","author":"D Zou","year":"2011","unstructured":"Zou D, Gao L, Li S, Jianhua W (2011) An effective global harmony search algorithm for reliability problems. Expert Syst Appl 38(4):4642\u20134648","journal-title":"Expert Syst Appl"},{"issue":"6","key":"9857_CR54","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1016\/j.camwa.2011.01.029","volume":"61","author":"D Zou","year":"2011","unstructured":"Zou D, Liu H, Gao L, Li S (2011) A novel modified differential evolution algorithm for constrained optimization problems. Computers & mathematics with applications 61(6):1608\u20131623","journal-title":"Computers & mathematics with applications"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-026-09857-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12530-026-09857-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-026-09857-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T12:01:56Z","timestamp":1783944116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12530-026-09857-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":54,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["9857"],"URL":"https:\/\/doi.org\/10.1007\/s12530-026-09857-3","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"1 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All the authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"94"}}