{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:12:53Z","timestamp":1775743973852,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s40747-024-01644-4","type":"journal-article","created":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T07:17:15Z","timestamp":1731136635000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Construction of kill webs with heterogeneous UAV swarms in dynamic contested environments"],"prefix":"10.1007","volume":"11","author":[{"given":"Wenlin","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zishuang","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Xichao","family":"Su","sequence":"additional","affiliation":[]},{"given":"Dazhao","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Bing","family":"Wan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,9]]},"reference":[{"key":"1644_CR1","doi-asserted-by":"publisher","first-page":"2101","DOI":"10.1177\/0954410018772622","volume":"233","author":"I Jang","year":"2019","unstructured":"Jang I, Shin H-S, Tsourdos A et al (2019) An integrated decision-making framework of a heterogeneous aerial robotic swarm for cooperative tasks with minimum requirements. Proc Inst Mech Eng Part G J Aerosp Eng 233:2101\u20132118. https:\/\/doi.org\/10.1177\/0954410018772622","journal-title":"Proc Inst Mech Eng Part G J Aerosp Eng"},{"key":"1644_CR2","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.cja.2020.10.029","volume":"35","author":"Q Feng","year":"2022","unstructured":"Feng Q, Hai X, Sun B et al (2022) Resilience optimization for multi-UAV formation reconfiguration via enhanced pigeon-inspired optimization. Chin J Aeronaut 35:110\u2013123. https:\/\/doi.org\/10.1016\/j.cja.2020.10.029","journal-title":"Chin J Aeronaut"},{"key":"1644_CR3","doi-asserted-by":"publisher","unstructured":"Lua CA, Altenburg K, Nygard KE (2003) Synchronized multi-point attack by autonomous reactive vehicles with simple local communication. In: Proceedings of the 2003 IEEE swarm intelligence symposium. SIS\u201903 (Cat. No.03EX706). IEEE, Indianapolis, pp 95\u2013102. https:\/\/doi.org\/10.1109\/SIS.2003.1202253","DOI":"10.1109\/SIS.2003.1202253"},{"key":"1644_CR4","doi-asserted-by":"publisher","first-page":"287","DOI":"10.2514\/1.53860","volume":"10","author":"M Haque","year":"2013","unstructured":"Haque M, Egerstedt M, Rahmani A (2013) Multilevel coalition formation strategy for suppression of enemy air defenses missions. J Aerosp Inf Syst 10:287\u2013296. https:\/\/doi.org\/10.2514\/1.53860","journal-title":"J Aerosp Inf Syst"},{"key":"1644_CR5","unstructured":"DARPA (2020) Creating cross-domain kill webs in real time. https:\/\/techxplore.com\/news\/2020-09-cross-domain-webs-real.html. Accessed 12 Mar 2023"},{"key":"1644_CR6","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.physa.2017.08.094","volume":"491","author":"H Wu","year":"2018","unstructured":"Wu H, Li H, Xiao R, Liu J (2018) Modeling and simulation of dynamic ant colony\u2019s labor division for task allocation of UAV swarm. Phys Stat Mech Appl 491:127\u2013141. https:\/\/doi.org\/10.1016\/j.physa.2017.08.094","journal-title":"Phys Stat Mech Appl"},{"key":"1644_CR7","doi-asserted-by":"publisher","unstructured":"Gulden TR, Lamb J, Hagen J, O\u2019Donoughue NA (2021) Modeling rapidly composable, heterogeneous, and fractionated forces: findings on mosaic warfare from an agent-based model. RAND Corporation, Santa Monica.https:\/\/doi.org\/10.7249\/RR4396","DOI":"10.7249\/RR4396"},{"key":"1644_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2020.105826","volume":"100","author":"Z Zhen","year":"2020","unstructured":"Zhen Z, Chen Y, Wen L, Han B (2020) An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment. Aerosp Sci Technol 100:105826. https:\/\/doi.org\/10.1016\/j.ast.2020.105826","journal-title":"Aerosp Sci Technol"},{"key":"1644_CR9","doi-asserted-by":"publisher","unstructured":"Hamilton T, Ochmanek D (2020) Operating low-cost, reusable unmanned aerial vehicles in contested environments: preliminary evaluation of operational concepts. RAND Corporation. https:\/\/doi.org\/10.7249\/RR4407","DOI":"10.7249\/RR4407"},{"key":"1644_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2020.102242","volume":"106","author":"K Kumar","year":"2020","unstructured":"Kumar K, Kumar S, Kaiwartya O et al (2020) Drone assisted flying ad-hoc networks: mobility and service oriented modeling using neuro-fuzzy. Ad Hoc Netw 106:102242. https:\/\/doi.org\/10.1016\/j.adhoc.2020.102242","journal-title":"Ad Hoc Netw"},{"key":"1644_CR11","doi-asserted-by":"publisher","DOI":"10.1063\/1.5086222","volume":"29","author":"C Cheng","year":"2019","unstructured":"Cheng C, Bai G, Zhang Y-A, Tao J (2019) Resilience evaluation for UAV swarm performing joint reconnaissance mission. Chaos Interdiscip J Nonlinear Sci 29:053132. https:\/\/doi.org\/10.1063\/1.5086222","journal-title":"Chaos Interdiscip J Nonlinear Sci"},{"key":"1644_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.106602","volume":"193","author":"G Bai","year":"2020","unstructured":"Bai G, Li Y, Fang Y et al (2020) Network approach for resilience evaluation of a UAV swarm by considering communication limits. Reliab Eng Syst Saf 193:106602. https:\/\/doi.org\/10.1016\/j.ress.2019.106602","journal-title":"Reliab Eng Syst Saf"},{"key":"1644_CR13","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1016\/j.cja.2020.02.026","volume":"34","author":"L Wang","year":"2021","unstructured":"Wang L, Zhao X, Zhang Y et al (2021) Unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission. Chin J Aeronaut 34:466\u2013478. https:\/\/doi.org\/10.1016\/j.cja.2020.02.026","journal-title":"Chin J Aeronaut"},{"key":"1644_CR14","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1177\/1548512915592517","volume":"12","author":"HT Tran","year":"2015","unstructured":"Tran HT, Domer\u00e7ant JC, Mavris DN (2015) Evaluating the agility of adaptive command and control networks from a cyber complex adaptive systems perspective. J Def Model Simul Appl Methodol Technol 12:405\u2013422. https:\/\/doi.org\/10.1177\/1548512915592517","journal-title":"J Def Model Simul Appl Methodol Technol"},{"key":"1644_CR15","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1002\/sys.21387","volume":"20","author":"G Pumpuni-Lenss","year":"2017","unstructured":"Pumpuni-Lenss G, Blackburn T, Garstenauer A (2017) Resilience in complex systems: an agent-based approach: resilience in complex systems. Syst Eng 20:158\u2013172. https:\/\/doi.org\/10.1002\/sys.21387","journal-title":"Syst Eng"},{"key":"1644_CR16","doi-asserted-by":"publisher","DOI":"10.1063\/5.0039745","volume":"31","author":"T Lymburn","year":"2021","unstructured":"Lymburn T, Algar SD, Small M, J\u00fcngling T (2021) Reservoir computing with swarms. Chaos Interdiscip J Nonlinear Sci 31:033121. https:\/\/doi.org\/10.1063\/5.0039745","journal-title":"Chaos Interdiscip J Nonlinear Sci"},{"key":"1644_CR17","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1002\/rob.21601","volume":"33","author":"J Parker","year":"2016","unstructured":"Parker J, Nunes E, Godoy J, Gini M (2016) Exploiting spatial locality and heterogeneity of agents for search and rescue teamwork*: exploiting spatial locality and heterogeneity of agents for search and rescue teamwork. J Field Robot 33:877\u2013900. https:\/\/doi.org\/10.1002\/rob.21601","journal-title":"J Field Robot"},{"key":"1644_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2022.110228","volume":"140","author":"J Fang","year":"2022","unstructured":"Fang J, Zhang Z, Cowlagi RV (2022) Decentralized route-planning for multi-vehicle teams to satisfy a subclass of linear temporal logic specifications. Automatica 140:110228. https:\/\/doi.org\/10.1016\/j.automatica.2022.110228","journal-title":"Automatica"},{"key":"1644_CR19","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/s10514-019-09828-5","volume":"44","author":"M Otte","year":"2020","unstructured":"Otte M, Kuhlman MJ, Sofge D (2020) Auctions for multi-robot task allocation in communication limited environments. Auton Robots 44:547\u2013584. https:\/\/doi.org\/10.1007\/s10514-019-09828-5","journal-title":"Auton Robots"},{"key":"1644_CR20","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s10846-017-0493-x","volume":"87","author":"G Oh","year":"2017","unstructured":"Oh G, Kim Y, Ahn J, Choi H-L (2017) Market-based task assignment for cooperative timing missions in dynamic environments. J Intell Robot Syst 87:97\u2013123. https:\/\/doi.org\/10.1007\/s10846-017-0493-x","journal-title":"J Intell Robot Syst"},{"key":"1644_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2021.107054","volume":"119","author":"Z Zhen","year":"2021","unstructured":"Zhen Z, Wen L, Wang B et al (2021) Improved contract network protocol algorithm based cooperative target allocation of heterogeneous UAV swarm. Aerosp Sci Technol 119:107054. https:\/\/doi.org\/10.1016\/j.ast.2021.107054","journal-title":"Aerosp Sci Technol"},{"key":"1644_CR22","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1109\/TRO.2009.2022423","volume":"25","author":"H-L Choi","year":"2009","unstructured":"Choi H-L, Brunet L, How JP (2009) Consensus-based decentralized auctions for robust task allocation. IEEE Trans Robot 25:912\u2013926. https:\/\/doi.org\/10.1109\/TRO.2009.2022423","journal-title":"IEEE Trans Robot"},{"key":"1644_CR23","doi-asserted-by":"publisher","unstructured":"Bertuccelli L, Choi H-L, Cho P, How J (2009) Real-time multi-UAV task assignment in dynamic and uncertain environments. In: AIAA guidance, navigation, and control conference. American Institute of Aeronautics and Astronautics, Chicago. https:\/\/doi.org\/10.2514\/6.2009-5776","DOI":"10.2514\/6.2009-5776"},{"key":"1644_CR24","doi-asserted-by":"publisher","unstructured":"Mercker T, Casbeer DW, Millet PT, Akella MR (2010) An extension of consensus-based auction algorithms for decentralized, time-constrained task assignment. In: Proceedings of the 2010 American control conference. IEEE, Baltimore, pp 6324\u20136329. https:\/\/doi.org\/10.1109\/ACC.2010.5531503","DOI":"10.1109\/ACC.2010.5531503"},{"key":"1644_CR25","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1109\/JSAC.2012.120603","volume":"30","author":"SS Ponda","year":"2012","unstructured":"Ponda SS, Johnson LB, Kopeikin AN et al (2012) Distributed planning strategies to ensure network connectivity for dynamic heterogeneous teams. IEEE J Sel Areas Commun 30:861\u2013869. https:\/\/doi.org\/10.1109\/JSAC.2012.120603","journal-title":"IEEE J Sel Areas Commun"},{"key":"1644_CR26","doi-asserted-by":"publisher","unstructured":"Buckman N, Choi H-L, How JP (2019) Partial replanning for decentralized dynamic task allocation. In: AIAA Scitech 2019 forum. American Institute of Aeronautics and Astronautics, San Diego. https:\/\/doi.org\/10.2514\/6.2019-0915","DOI":"10.2514\/6.2019-0915"},{"key":"1644_CR27","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1016\/j.ifacol.2021.11.249","volume":"54","author":"M Braquet","year":"2021","unstructured":"Braquet M, Bakolas E (2021) Greedy decentralized auction-based task allocation for multi-agent systems. IFAC-Pap 54:675\u2013680. https:\/\/doi.org\/10.1016\/j.ifacol.2021.11.249","journal-title":"IFAC-Pap"},{"key":"1644_CR28","doi-asserted-by":"publisher","first-page":"2122","DOI":"10.3390\/s22062122","volume":"22","author":"X Wu","year":"2022","unstructured":"Wu X, Gao Z, Yuan S et al (2022) A dynamic task allocation algorithm for heterogeneous UUV swarms. Sensors 22:2122. https:\/\/doi.org\/10.3390\/s22062122","journal-title":"Sensors"},{"key":"1644_CR29","doi-asserted-by":"publisher","unstructured":"Han-Lim Choi, Whitten AK, How JP (2010) Decentralized task allocation for heterogeneous teams with cooperation constraints. In: Proceedings of the 2010 American control conference. IEEE, Baltimore, pp 3057\u20133062. https:\/\/doi.org\/10.1109\/ACC.2010.5530496","DOI":"10.1109\/ACC.2010.5530496"},{"key":"1644_CR30","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1007\/s12559-014-9265-0","volume":"6","author":"S Hunt","year":"2014","unstructured":"Hunt S, Meng Q, Hinde C, Huang T (2014) A consensus-based grouping algorithm for multi-agent cooperative task allocation with complex requirements. Cogn Comput 6:338\u2013350. https:\/\/doi.org\/10.1007\/s12559-014-9265-0","journal-title":"Cogn Comput"},{"key":"1644_CR31","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s11227-020-03264-4","volume":"77","author":"F Ye","year":"2021","unstructured":"Ye F, Chen J, Sun Q et al (2021) Decentralized task allocation for heterogeneous multi-UAV system with task coupling constraints. J Supercomput 77:111\u2013132. https:\/\/doi.org\/10.1007\/s11227-020-03264-4","journal-title":"J Supercomput"},{"key":"1644_CR32","doi-asserted-by":"publisher","first-page":"12593","DOI":"10.1109\/LRA.2022.3220155","volume":"7","author":"S Wang","year":"2022","unstructured":"Wang S, Liu Y, Qiu Y, Zhou J (2022) Consensus-based decentralized task allocation for multi-agent systems and simultaneous multi-agent tasks. IEEE Robot Autom Lett 7:12593\u201312600. https:\/\/doi.org\/10.1109\/LRA.2022.3220155","journal-title":"IEEE Robot Autom Lett"},{"key":"1644_CR33","doi-asserted-by":"publisher","first-page":"5689","DOI":"10.1177\/0954410019853982","volume":"233","author":"D Xing","year":"2019","unstructured":"Xing D, Zhen Z, Gong H (2019) Offense\u2013defense confrontation decision making for dynamic UAV swarm versus UAV swarm. Proc Inst Mech Eng Part G J Aerosp Eng 233:5689\u20135702. https:\/\/doi.org\/10.1177\/0954410019853982","journal-title":"Proc Inst Mech Eng Part G J Aerosp Eng"},{"key":"1644_CR34","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.1016\/j.robot.2014.05.015","volume":"62","author":"MOF Sarker","year":"2014","unstructured":"Sarker MOF, Dahl TS, Arcaute E, Christensen K (2014) Local interactions over global broadcasts for improved task allocation in self-organized multi-robot systems. Robot Auton Syst 62:1453\u20131462. https:\/\/doi.org\/10.1016\/j.robot.2014.05.015","journal-title":"Robot Auton Syst"},{"key":"1644_CR35","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s42405-019-00205-1","volume":"21","author":"K-S Kim","year":"2020","unstructured":"Kim K-S, Kim H-Y, Choi H-L (2020) A bid-based grouping method for communication-efficient decentralized multi-UAV task allocation. Int J Aeronaut Space Sci 21:290\u2013302. https:\/\/doi.org\/10.1007\/s42405-019-00205-1","journal-title":"Int J Aeronaut Space Sci"},{"key":"1644_CR36","doi-asserted-by":"publisher","first-page":"15867","DOI":"10.1109\/TVT.2020.3036833","volume":"69","author":"W Chen","year":"2020","unstructured":"Chen W, Liu J, Guo H (2020) Achieving robust and efficient consensus for large-scale drone swarm. IEEE Trans Veh Technol 69:15867\u201315879. https:\/\/doi.org\/10.1109\/TVT.2020.3036833","journal-title":"IEEE Trans Veh Technol"},{"key":"1644_CR37","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1002\/rsa.3240060204","volume":"6","author":"M Molloy","year":"1995","unstructured":"Molloy M, Reed B (1995) A critical point for random graphs with a given degree sequence: a critical point for random graphs. Random Struct Algorithms 6:161\u2013180. https:\/\/doi.org\/10.1002\/rsa.3240060204","journal-title":"Random Struct Algorithms"},{"key":"1644_CR38","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1103\/PhysRevLett.85.4626","volume":"85","author":"R Cohen","year":"2000","unstructured":"Cohen R, Erez K (2000) Resilience of the internet to random breakdowns. Phys Rev Lett 85:3. https:\/\/doi.org\/10.1103\/PhysRevLett.85.4626","journal-title":"Phys Rev Lett"},{"key":"1644_CR39","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1109\/JSYST.2018.2828779","volume":"13","author":"J Li","year":"2019","unstructured":"Li J, Jiang J, Yang K, Chen Y (2019) Research on functional robustness of heterogeneous combat networks. IEEE Syst J 13:1487\u20131495. https:\/\/doi.org\/10.1109\/JSYST.2018.2828779","journal-title":"IEEE Syst J"},{"key":"1644_CR40","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.ress.2016.10.014","volume":"158","author":"HT Tran","year":"2017","unstructured":"Tran HT, Balchanos M, Domer\u00e7ant JC, Mavris DN (2017) A framework for the quantitative assessment of performance-based system resilience. Reliab Eng Syst Saf 158:73\u201384. https:\/\/doi.org\/10.1016\/j.ress.2016.10.014","journal-title":"Reliab Eng Syst Saf"},{"key":"1644_CR41","doi-asserted-by":"publisher","first-page":"59760","DOI":"10.1109\/ACCESS.2020.2983082","volume":"8","author":"K Chen","year":"2020","unstructured":"Chen K, Lu Y, Liu Q et al (2020) A method to validate operational capability index model of heterogeneous combat networks based on characteristic topology analysis. IEEE Access 8:59760\u201359773. https:\/\/doi.org\/10.1109\/ACCESS.2020.2983082","journal-title":"IEEE Access"},{"key":"1644_CR42","doi-asserted-by":"publisher","first-page":"15429","DOI":"10.1007\/s00521-023-08361-y","volume":"35","author":"X Song","year":"2023","unstructured":"Song X, Sun P, Song S, Stojanovic V (2023) Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems. Neural Comput Appl 35:15429\u201315446. https:\/\/doi.org\/10.1007\/s00521-023-08361-y","journal-title":"Neural Comput Appl"},{"key":"1644_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107832","volume":"131","author":"X Song","year":"2024","unstructured":"Song X, Wu C, Song S et al (2024) Fuzzy wavelet neural adaptive finite-time self-triggered fault-tolerant control for a quadrotor unmanned aerial vehicle with scheduled performance. Eng Appl Artif Intell 131:107832. https:\/\/doi.org\/10.1016\/j.engappai.2023.107832","journal-title":"Eng Appl Artif Intell"},{"key":"1644_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3367769","author":"O Tutsoy","year":"2024","unstructured":"Tutsoy O, Asadi D, Ahmadi K et al (2024) Minimum distance and minimum time optimal path planning with bioinspired machine learning algorithms for faulty unmanned air vehicles. IEEE Trans Intell Transp Syst. https:\/\/doi.org\/10.1109\/TITS.2024.3367769","journal-title":"IEEE Trans Intell Transp Syst"}],"container-title":["Complex &amp; Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-024-01644-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-024-01644-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-024-01644-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T20:19:52Z","timestamp":1738268392000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-024-01644-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,9]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["1644"],"URL":"https:\/\/doi.org\/10.1007\/s40747-024-01644-4","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,9]]},"assertion":[{"value":"12 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 August 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 November 2024","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. On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"8"}}