{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T03:04:15Z","timestamp":1776913455547,"version":"3.51.2"},"reference-count":60,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52260011"],"award-info":[{"award-number":["52260011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.ress.2024.110086","type":"journal-article","created":{"date-parts":[[2024,3,16]],"date-time":"2024-03-16T03:10:12Z","timestamp":1710558612000},"page":"110086","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Scenario reduction-based simulation method for efficient serviceability assessment of earthquake-damaged water distribution systems"],"prefix":"10.1016","volume":"246","author":[{"given":"Rui","family":"Jia","sequence":"first","affiliation":[]},{"given":"Kun","family":"Du","sequence":"additional","affiliation":[]},{"given":"Zhigang","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5958-9288","authenticated-orcid":false,"given":"Wei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Feifei","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2024.110086_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108074","article-title":"Modeling time-varying reliability and resilience of deteriorating infrastructure","volume":"217","author":"Iannacone","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108164","article-title":"Seismic resilience assessment of urban interdependent lifeline networks","volume":"218","author":"Xiao","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.107346","article-title":"Assessing resilience of urban lifeline networks to intentional attacks","volume":"207","author":"Han","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107525","article-title":"Pipe breaks and estimating the impact of pressure control in water supply networks","volume":"210","author":"Jara-Arriagada","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107703","article-title":"Defender\u2013attacker\u2013operator: tri-level game-theoretic interdiction analysis of urban water distribution networks","volume":"214","author":"Wu","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108185","article-title":"Machine learning based water pipe failure prediction: the effects of engineering, geology, climate and socio-economic factors","volume":"219","author":"Fan","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0007","doi-asserted-by":"crossref","first-page":"1971","DOI":"10.1007\/s11269-020-02541-4","article-title":"Flow-based optimal system design of urban water transmission network under seismic conditions","volume":"34","author":"Yoon","year":"2020","journal-title":"Water Resour Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0008","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.engstruct.2019.02.020","article-title":"Development of fragility functions for natural gas transmission pipelines at anchor block interface","volume":"186","author":"Ashrafi","year":"2019","journal-title":"Eng Struct"},{"key":"10.1016\/j.ress.2024.110086_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108644","article-title":"A probabilistic framework to evaluate seismic resilience of hospital buildings using Bayesian networks","volume":"226","author":"Liu","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0010","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s10518-023-01728-5","article-title":"Seismic risk and resilience analysis of networked industrial facilities","volume":"22","author":"Tabandeh","year":"2024","journal-title":"Bull Earthq Eng"},{"issue":"1","key":"10.1016\/j.ress.2024.110086_bib0011","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)PS.1949-1204.0000293","article-title":"Comparative evaluation of topological and flow-based seismic resilience metrics for rehabilitation of water pipeline systems","volume":"9","author":"Farahmandfar","year":"2018","journal-title":"J Pipeline Syst Eng Pract"},{"key":"10.1016\/j.ress.2024.110086_bib0012","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.ijdrr.2018.01.028","article-title":"A framework for assessing the resilience of a disaster debris management system","volume":"28","author":"Kim","year":"2018","journal-title":"Int J Dis Risk Reduct"},{"key":"10.1016\/j.ress.2024.110086_bib0013","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ress.2019.02.001","article-title":"Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system","volume":"186","author":"Tang","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"issue":"6","key":"10.1016\/j.ress.2024.110086_bib0014","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1080\/23789689.2019.1681821","article-title":"Integration of detailed household and housing unit characteristic data with critical infrastructure for post-hazard resilience modeling","volume":"6","author":"Rosenheim","year":"2021","journal-title":"Sustain Resil Infrastruct"},{"key":"10.1016\/j.ress.2024.110086_bib0015","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.ress.2019.01.008","article-title":"Integration of physical infrastructure and social systems in communities\u2019 reliability and resilience analysis","volume":"185","author":"Guidotti","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0016","unstructured":"Markov, I., Grigoriu, M., & O'Rourke, T. D. (1994). An evaluation of seismic serviceability of water supply networks with application to the San Francisco auxiliary water supply system."},{"issue":"6","key":"10.1016\/j.ress.2024.110086_bib0017","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)WR.1943-5452.0000478","article-title":"Vulnerability assessment of water distribution networks under seismic actions","volume":"141","author":"Laucelli","year":"2015","journal-title":"J Water Resour Plan Manag"},{"issue":"3","key":"10.1016\/j.ress.2024.110086_bib0018","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1002\/eqe.2348","article-title":"Seismic reliability assessment of urban water networks","volume":"43","author":"Fragiadakis","year":"2014","journal-title":"Earthq Eng Struct Dyn"},{"issue":"10","key":"10.1016\/j.ress.2024.110086_bib0019","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1111\/mice.12566","article-title":"Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks","volume":"35","author":"Pudasaini","year":"2020","journal-title":"Comput-Aided Civil Infrastruct Eng"},{"issue":"8","key":"10.1016\/j.ress.2024.110086_bib0020","doi-asserted-by":"crossref","first-page":"2325","DOI":"10.1007\/s11269-021-02793-8","article-title":"Random walks partitioning and network reliability assessing in water distribution system","volume":"35","author":"Mu","year":"2021","journal-title":"Water Resour Manag"},{"issue":"15","key":"10.1016\/j.ress.2024.110086_bib0021","doi-asserted-by":"crossref","first-page":"5187","DOI":"10.1007\/s11269-021-02994-1","article-title":"Identification of critical pipes for water distribution network rehabilitation","volume":"35","author":"Prasad","year":"2021","journal-title":"Water Resour Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.107088","article-title":"Recovery-based seismic resilience enhancement strategies of water distribution networks","volume":"203","author":"Liu","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"issue":"2","key":"10.1016\/j.ress.2024.110086_bib0023","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)WR.1943-5452.0000584","article-title":"Seismic hazard assessment model for urban water supply networks","volume":"142","author":"Yoo","year":"2016","journal-title":"J Water Resour Plan Manag"},{"issue":"13","key":"10.1016\/j.ress.2024.110086_bib0024","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1002\/eqe.2162","article-title":"Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive decomposition algorithm","volume":"41","author":"Lim","year":"2012","journal-title":"Earthq Eng Struct Dyn"},{"issue":"1","key":"10.1016\/j.ress.2024.110086_bib0025","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)PS.1949-1204.0000251","article-title":"Resilience evaluation of water supply networks against seismic hazards","volume":"8","author":"Farahmandfar","year":"2017","journal-title":"J Pipeline Syst Eng Pract"},{"key":"10.1016\/j.ress.2024.110086_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.106828","article-title":"Reliability of water distribution networks subjected to seismic hazard: application of an improved entropy function","volume":"197","author":"Emamjomeh","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110086_bib0027","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1007\/s11269-021-02773-y","article-title":"A community-structure-based method for estimating the fractal dimension, and its application to water networks for the assessment of vulnerability to disasters","volume":"35","author":"Giudicianni","year":"2021","journal-title":"Water Resour Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107735","article-title":"A hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty: a case study of water distribution systems","volume":"215","author":"Yu","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"issue":"13","key":"10.1016\/j.ress.2024.110086_bib0029","doi-asserted-by":"crossref","first-page":"5091","DOI":"10.1007\/s11269-022-03293-z","article-title":"A pipe ranking method for water distribution network resilience assessment based on graph-theory metrics aggregated through Bayesian belief networks","volume":"36","author":"Pagano","year":"2022","journal-title":"Water Resour Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0030","series-title":"Proceedings of the eighth US national conference on earthquake engineering","article-title":"Simulation of earthquake water supply performance","author":"Shi","year":"2006"},{"key":"10.1016\/j.ress.2024.110086_bib0031","series-title":"Seismic performance evaluation of water supply systems","author":"Wang","year":"2006"},{"key":"10.1016\/j.ress.2024.110086_bib0032","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.envsoft.2017.06.022","article-title":"A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study","volume":"95","author":"Klise","year":"2017","journal-title":"Environ Model Softw"},{"key":"10.1016\/j.ress.2024.110086_bib0033","doi-asserted-by":"crossref","first-page":"2925","DOI":"10.1007\/s11269-019-02276-x","article-title":"Water distribution networks resilience analysis: a comparison between graph theory-based approaches and global resilience analysis","volume":"33","author":"Pagano","year":"2019","journal-title":"Water Resour Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0034","series-title":"Lifelines","first-page":"416","article-title":"Comparative study on seismic performance analysis methods of water distribution systems","author":"Hou","year":"2022"},{"issue":"1","key":"10.1016\/j.ress.2024.110086_bib0035","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s10107-018-1269-1","article-title":"Scenario reduction revisited: fundamental limits and guarantees","volume":"191","author":"Rujeerapaiboon","year":"2022","journal-title":"Math Program"},{"issue":"4","key":"10.1016\/j.ress.2024.110086_bib0036","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.1287\/opre.2022.2265","article-title":"Optimization-based scenario reduction for data-driven two-stage stochastic optimization","volume":"71","author":"Bertsimas","year":"2023","journal-title":"Oper Res"},{"key":"10.1016\/j.ress.2024.110086_bib0037","doi-asserted-by":"crossref","DOI":"10.1287\/ijoc.2023.1295","article-title":"Optimized scenario reduction: solving large-scale stochastic programs with quality guarantees","author":"Zhang","year":"2023","journal-title":"INFORMS J Comput"},{"issue":"1","key":"10.1016\/j.ress.2024.110086_bib0038","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1109\/TSG.2021.3119939","article-title":"Stochastic planning of integrated energy system via Frank-Copula function and scenario reduction","volume":"13","author":"Lin","year":"2021","journal-title":"IEEE Trans Smart Grid"},{"key":"10.1016\/j.ress.2024.110086_bib0039","series-title":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","first-page":"89","article-title":"A combined clustering scenario reduction method base on potential decision results for generation expansion planning","author":"Liu","year":"2022"},{"key":"10.1016\/j.ress.2024.110086_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijepes.2020.106560","article-title":"Spectral clustering based demand-oriented representative days selection method for power system expansion planning","volume":"125","author":"Gao","year":"2021","journal-title":"Int J Electric Power Energy Syst"},{"issue":"2","key":"10.1016\/j.ress.2024.110086_bib0041","doi-asserted-by":"crossref","first-page":"335","DOI":"10.3390\/en13020335","article-title":"Representative days for expansion decisions in power systems","volume":"13","author":"Garc\u00eda-Cerezo","year":"2020","journal-title":"Energies (Basel)"},{"key":"10.1016\/j.ress.2024.110086_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2019.113603","article-title":"Clustering representative days for power systems generation expansion planning: capturing the effects of variable renewables and energy storage","volume":"253","author":"Scott","year":"2019","journal-title":"Appl Energy"},{"issue":"3","key":"10.1016\/j.ress.2024.110086_bib0043","doi-asserted-by":"crossref","first-page":"3029","DOI":"10.1109\/TPWRS.2017.2746379","article-title":"Hierarchical clustering to find representative operating periods for capacity-expansion modeling","volume":"33","author":"Liu","year":"2017","journal-title":"IEEE Trans Power Syst"},{"issue":"12","key":"10.1016\/j.ress.2024.110086_bib0044","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1111\/mice.12606","article-title":"Regional resilience analysis: a multiscale approach to optimize the resilience of interdependent infrastructure","volume":"35","author":"Sharma","year":"2020","journal-title":"Comput-Aided Civil Infrastruct Eng"},{"key":"10.1016\/j.ress.2024.110086_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109104","article-title":"Regional seismic risk and resilience assessment: methodological development, applicability, and future research needs\u2013an earthquake engineering perspective","author":"Du","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"issue":"10","key":"10.1016\/j.ress.2024.110086_bib0046","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1002\/eqe.988","article-title":"Efficient sampling and data reduction techniques for probabilistic seismic lifeline risk assessment","volume":"39","author":"Jayaram","year":"2010","journal-title":"Earthq Eng Struct Dyn"},{"issue":"4","key":"10.1016\/j.ress.2024.110086_bib0047","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1111\/mice.12665","article-title":"Active learning method for risk assessment of distributed infrastructure systems","volume":"36","author":"Tomar","year":"2021","journal-title":"Comput-Aided Civil Infrastruct Eng"},{"key":"10.1016\/j.ress.2024.110086_bib0048","series-title":"International conference on machine learning","first-page":"1954","article-title":"Submodularity in data subset selection and active learning","author":"Wei","year":"2015"},{"key":"10.1016\/j.ress.2024.110086_bib0049","unstructured":"EPANET 2.2 (2020) https:\/\/www.epa.gov\/water-research\/epanet."},{"key":"10.1016\/j.ress.2024.110086_bib0050","series-title":"Seismic fragility formulations for water systems, part 1","year":"2001"},{"issue":"3","key":"10.1016\/j.ress.2024.110086_bib0051","first-page":"63","article-title":"Seismic damage estimation procedure for water supply pipelines","volume":"18","author":"Isoyama","year":"2000","journal-title":"Water supply"},{"key":"10.1016\/j.ress.2024.110086_bib0052","series-title":"World environmental and water resources congress 2013: showcasing the future","first-page":"955","article-title":"Seismic reliability assessment model of water supply networks","author":"Yoo","year":"2013"},{"issue":"2","key":"10.1016\/j.ress.2024.110086_bib0053","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.ress.2008.06.012","article-title":"Spatial distribution of water supply reliability and critical links of water supply to crucial water consumers under an earthquake","volume":"94","author":"Wang","year":"2009","journal-title":"Reliab Eng Syst Saf"},{"issue":"8","key":"10.1016\/j.ress.2024.110086_bib0054","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)WR.1943-5452.0000664","article-title":"Linear model for estimating water distribution system reliability","volume":"142","author":"Jung","year":"2016","journal-title":"J Water Resour Plan Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0055","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s11081-011-9141-7","article-title":"On the optimal design of water distribution networks: a practical MINLP approach","volume":"13","author":"Bragalli","year":"2012","journal-title":"Optim Eng"},{"issue":"5","key":"10.1016\/j.ress.2024.110086_bib0056","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1061\/(ASCE)WR.1943-5452.0000191","article-title":"Battle of the water calibration networks","volume":"138","author":"Ostfeld","year":"2012","journal-title":"J Water Resour Plan Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0057","article-title":"Exnet benchmark problem for multi-objective optimization of large water systems","author":"Farmani","year":"2004","journal-title":"Model Control Particip Plan Manag Water Syst"},{"key":"10.1016\/j.ress.2024.110086_bib0058","series-title":"8th US National Conference on Earthquake Engineering 2006","first-page":"543","article-title":"Simulation of earthquake water supply performance","author":"O'Rourke","year":"2006"},{"issue":"1","key":"10.1016\/j.ress.2024.110086_bib0059","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1061\/(ASCE)WR.1943-5452.0000093","article-title":"Calibration of nodal demand in water distribution systems","volume":"137","author":"Cheng","year":"2011","journal-title":"J Water Resour Plan Manag"},{"key":"10.1016\/j.ress.2024.110086_bib0060","unstructured":"Chinese seismic intensity scale (GB\/T 17742-2020). Standards Press of China, Beijing, China."}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832024001601?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832024001601?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T02:43:57Z","timestamp":1733712237000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832024001601"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":60,"alternative-id":["S0951832024001601"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2024.110086","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3003413\/v1","asserted-by":"object"}]},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Scenario reduction-based simulation method for efficient serviceability assessment of earthquake-damaged water distribution systems","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2024.110086","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"110086"}}