{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:13:37Z","timestamp":1781622817037,"version":"3.54.5"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T00:00:00Z","timestamp":1722988800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T00:00:00Z","timestamp":1722988800000},"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":["Computing"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s00607-024-01323-9","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T10:07:19Z","timestamp":1723025239000},"page":"3353-3385","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Improved snake optimization-based task scheduling in cloud computing"],"prefix":"10.1007","volume":"106","author":[{"given":"Vijay Kumar","family":"Damera","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Vanitha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.","family":"Indira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Sirisha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramesh","family":"Vatambeti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,7]]},"reference":[{"key":"1323_CR1","doi-asserted-by":"publisher","unstructured":"Chen Z, Xiong B, Chen X, Min G, Li J Joint Computation Offloading and Resource Allocation in Multi-edge Smart communities with Personalized Federated Deep reinforcement learning. in IEEE Trans Mob Comput, https:\/\/doi.org\/10.1109\/TMC.2024.3396511","DOI":"10.1109\/TMC.2024.3396511"},{"issue":"3","key":"1323_CR2","doi-asserted-by":"publisher","first-page":"3117","DOI":"10.1109\/JSYST.2019.2960088","volume":"14","author":"X Chen","year":"2020","unstructured":"Chen X, Cheng L, Liu C, Liu Q, Liu J, Mao Y, Murphy J (2020) A WOA-based optimisation approach for task scheduling in cloud computing systems. IEEE Syst J 14(3):3117\u20133128","journal-title":"IEEE Syst J"},{"key":"1323_CR3","doi-asserted-by":"publisher","unstructured":"Chen Z, Hu J, Min G, Luo C, El-Ghazawi T (2022) Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning, in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1911\u20131923, 1 Aug. https:\/\/doi.org\/10.1109\/TPDS.2021.3132422","DOI":"10.1109\/TPDS.2021.3132422"},{"issue":"4","key":"1323_CR4","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.17762\/turcomat.v12i4.612","volume":"12","author":"IM Ibrahim","year":"2021","unstructured":"Ibrahim IM (2021) Task scheduling algorithms in cloud computing: a review. Turkish J Comput Math Educ (TURCOMAT) 12(4):1041\u20131053","journal-title":"Turkish J Comput Math Educ (TURCOMAT)"},{"key":"1323_CR5","doi-asserted-by":"publisher","first-page":"114230","DOI":"10.1016\/j.eswa.2020.114230","volume":"168","author":"SE Shukri","year":"2021","unstructured":"Shukri SE, Al-Sayyed R, Hudaib A, Mirjalili S (2021) Enhanced multi-verse optimiser for task scheduling in cloud computing environments. Expert Syst Appl 168:114230","journal-title":"Expert Syst Appl"},{"key":"1323_CR6","doi-asserted-by":"publisher","first-page":"3599","DOI":"10.1007\/s10462-020-09933-3","volume":"54","author":"M Abd Elaziz","year":"2021","unstructured":"Abd Elaziz M, Attiya I (2021) An improved Henry gas solubility optimisation algorithm for task scheduling in cloud computing. Artif Intell Rev 54:3599\u20133637","journal-title":"Artif Intell Rev"},{"key":"1323_CR7","doi-asserted-by":"publisher","first-page":"10853","DOI":"10.1007\/s00521-024-09599-w","volume":"36","author":"RR Mostafa","year":"2024","unstructured":"Mostafa RR, Chhabra A, Khedr AM et al (2024) Boosting white shark optimizer for global optimization and cloud scheduling problem. Neural Comput Applic 36:10853\u201310879. https:\/\/doi.org\/10.1007\/s00521-024-09599-w","journal-title":"Neural Comput Applic"},{"key":"1323_CR8","doi-asserted-by":"publisher","unstructured":"Chen Z, Zhang J, Zheng X, Min G, Li J, Rong C (2023) Profit-Aware Cooperative Offloading in UAV-Enabled MEC systems using lightweight deep reinforcement learning. IEEE Internet of things Journal. 1\u20131. https:\/\/doi.org\/10.1109\/JIOT.2023.3331722","DOI":"10.1109\/JIOT.2023.3331722"},{"key":"1323_CR9","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1007\/s10586-019-02983-5","volume":"23","author":"X Huang","year":"2020","unstructured":"Huang X, Li C, Chen H, An D (2020) Task scheduling in cloud computing using particle swarm optimisation with time-varying inertia weight strategies. Cluster Comput 23:1137\u20131147","journal-title":"Cluster Comput"},{"issue":"6","key":"1323_CR10","doi-asserted-by":"publisher","first-page":"e4302","DOI":"10.1002\/dac.4302","volume":"33","author":"A Amini Motlagh","year":"2020","unstructured":"Amini Motlagh A, Movaghar A, Rahmani AM (2020) Task scheduling mechanisms in cloud computing: a systematic review. Int J Commun Syst 33(6):e4302","journal-title":"Int J Commun Syst"},{"key":"1323_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-023-04264-8","author":"M Ghorbian","year":"2024","unstructured":"Ghorbian M, Ghobaei-Arani M, Esmaeili L (2024) A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends. Cluster Comput. https:\/\/doi.org\/10.1007\/s10586-023-04264-8","journal-title":"Cluster Comput"},{"issue":"2","key":"1323_CR12","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1108\/IJWIS-11-2020-0071","volume":"17","author":"R Masadeh","year":"2021","unstructured":"Masadeh R, Alsharman N, Sharieh A, Mahafzah BA, Abdulrahman A (2021) Task scheduling on cloud computing based on sea lion optimisation algorithm. Int J Web Inform Syst 17(2):99\u2013116","journal-title":"Int J Web Inform Syst"},{"key":"1323_CR13","doi-asserted-by":"crossref","unstructured":"Fu X, Sun Y, Wang H, Li H (2021) Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm. Cluster Comput, pp.1\u201310","DOI":"10.1007\/s10586-020-03221-z"},{"key":"1323_CR14","doi-asserted-by":"publisher","first-page":"6302","DOI":"10.1007\/s11227-019-02816-7","volume":"76","author":"SMG Kashikolaei","year":"2020","unstructured":"Kashikolaei SMG, Hosseinabadi AAR, Saemi B, Shareh MB, Sangaiah AK, Bian GB (2020) An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm. J Supercomputing 76:6302\u20136329","journal-title":"J Supercomputing"},{"key":"1323_CR15","doi-asserted-by":"crossref","unstructured":"Chen Z, Zhang J, Huang Z, Wang P, Yu Z, Miao W (2024) Computation offloading in blockchain-enabled MCS systems: a scalable deep reinforcement learning approach. Future Generation Comput Syst Vol 153","DOI":"10.1016\/j.future.2023.12.004"},{"issue":"1","key":"1323_CR16","first-page":"73","volume":"17","author":"G Natesan","year":"2020","unstructured":"Natesan G, Chokkalingam A (2020) An improved grey wolf optimisation algorithm based task scheduling in cloud computing environment. Int Arab J Inf Technol 17(1):73\u201381","journal-title":"Int Arab J Inf Technol"},{"key":"1323_CR17","doi-asserted-by":"crossref","unstructured":"Rajakumari K, Kumar MV, Verma G, Balu S, Sharma DK, Sengan S (2022) Fuzzy-based ant colony optimization scheduling in Cloud Computing. Comput Syst Sci Eng, 40(2)","DOI":"10.32604\/csse.2022.019175"},{"key":"1323_CR18","unstructured":"Amer DA, Attiya G, Zeidan I, Nasr AA (2022) Elite learning Harris hawks optimiser for multi-objective task scheduling in cloud computing. J Supercomputing, pp.1\u201326"},{"key":"1323_CR19","doi-asserted-by":"crossref","unstructured":"Gupta S, Iyer S, Agarwal G, Manoharan P, Algarni AD, Aldehim G, Raahemifar K (2022) Efficient prioritisation and processor selection schemes for heft algorithm: A makespan optimiser for task scheduling in a cloud environment. Electronics, 11(16), p.2557","DOI":"10.3390\/electronics11162557"},{"issue":"12","key":"1323_CR20","first-page":"2257","volume":"48","author":"S Tofighy","year":"2018","unstructured":"Tofighy S, Rahmanian AA (2018) An ensemble CPU load prediction algorithm using a bayesian information criterion and smooth filters in a cloud computing environment. Software: Pract Experience 48(12):2257\u20132277","journal-title":"Software: Pract Experience"},{"issue":"6","key":"1323_CR21","first-page":"2370","volume":"34","author":"SA Alsaidy","year":"2022","unstructured":"Alsaidy SA, Abbood AD, Sahib MA (2022) Heuristic initialisation of PSO task scheduling algorithm in cloud computing. J King Saud University-Computer Inform Sci 34(6):2370\u20132382","journal-title":"J King Saud University-Computer Inform Sci"},{"key":"1323_CR22","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1007\/s10586-020-03152-9","volume":"24","author":"M Tarahomi","year":"2021","unstructured":"Tarahomi M, Izadi M, Ghobaei-Arani M (2021) An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach. Cluster Comput 24:919\u2013934. https:\/\/doi.org\/10.1007\/s10586-020-03152-9","journal-title":"Cluster Comput"},{"key":"1323_CR23","first-page":"100517","volume":"30","author":"M Hussain","year":"2021","unstructured":"Hussain M, Wei LF, Lakhan A, Wali S, Ali S, Hussain A (2021) Energy and performance-efficient task scheduling in heterogeneous virtualised cloud computing. Sustainable Computing: Inf Syst 30:100517","journal-title":"Sustainable Computing: Inf Syst"},{"issue":"8","key":"1323_CR24","first-page":"1745","volume":"51","author":"M Salimian","year":"2021","unstructured":"Salimian M (2021) Toward an autonomic approach for internet of things service placement using gray wolf optimization in the fog computing environment. Software: Pract Experience 51(8):1745\u20131772","journal-title":"Software: Pract Experience"},{"key":"1323_CR25","doi-asserted-by":"publisher","first-page":"13075","DOI":"10.1007\/s00521-021-06002-w","volume":"33","author":"P Pirozmand","year":"2021","unstructured":"Pirozmand P, Hosseinabadi AAR, Farrokhzad M, Sadeghilalimi M, Mirkamali S, Slowik A (2021) Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing. Neural Comput Appl 33:13075\u201313088","journal-title":"Neural Comput Appl"},{"issue":"1","key":"1323_CR26","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s13677-023-00401-1","volume":"12","author":"G Saravanan","year":"2023","unstructured":"Saravanan G, Neelakandan S, Ezhumalai P, Maurya S (2023) Improved wild horse optimisation with levy flight algorithm for effective task scheduling in cloud computing. J Cloud Comput 12(1):24","journal-title":"J Cloud Comput"},{"issue":"1","key":"1323_CR27","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s13677-023-00392-z","volume":"12","author":"M Yadav","year":"2023","unstructured":"Yadav M, Mishra A (2023) An enhanced ordinal optimisation with lower scheduling overhead based novel approach for task scheduling in cloud computing environment. J Cloud Comput 12(1):8","journal-title":"J Cloud Comput"},{"key":"1323_CR28","doi-asserted-by":"crossref","unstructured":"Gad AG, Houssein EH, Zhou M, Suganthan PN, Wazery YM (2023) Damping-assisted evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing. IEEE Internet of Things Journal","DOI":"10.1109\/JIOT.2023.3291367"},{"issue":"4","key":"1323_CR29","doi-asserted-by":"publisher","first-page":"4313","DOI":"10.1007\/s12652-023-04541-9","volume":"14","author":"P Pirozmand","year":"2023","unstructured":"Pirozmand P, Jalalinejad H, Hosseinabadi AAR, Mirkamali S, Li Y (2023) An improved particle swarm optimisation algorithm for task scheduling in cloud computing. J Ambient Intell Humaniz Comput 14(4):4313\u20134327","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"6","key":"1323_CR30","doi-asserted-by":"publisher","first-page":"1441","DOI":"10.3390\/electronics12061441","volume":"12","author":"S Badri","year":"2023","unstructured":"Badri S, Alghazzawi DM, Hasan SH, Alfayez F, Hasan SH, Rahman M, Bhatia S (2023) An efficient and secure Model using adaptive optimal deep learning for Task Scheduling in Cloud Computing. Electronics 12(6):1441","journal-title":"Electronics"},{"issue":"2","key":"1323_CR31","doi-asserted-by":"publisher","first-page":"285","DOI":"10.3390\/e25020285","volume":"25","author":"D Chen","year":"2023","unstructured":"Chen D, Zhang Y (2023) Diversity-aware Marine predators Algorithm for Task Scheduling in Cloud Computing. Entropy 25(2):285","journal-title":"Entropy"},{"key":"1323_CR32","doi-asserted-by":"crossref","unstructured":"Chaudhary S, Sharma VK, Thakur RN, Rathi A, Kumar P, Sharma S (2023) Modified Particle Swarm Optimisation Based on Aging Leaders and Challengers Model for Task Scheduling in Cloud Computing. Mathematical Problems in Engineering, 2023","DOI":"10.1155\/2023\/3916735"},{"issue":"2","key":"1323_CR33","first-page":"791","volume":"35","author":"S Mangalampalli","year":"2023","unstructured":"Mangalampalli S, Karri GR, Kose U (2023) Multi-objective Trust aware task scheduling algorithm in cloud computing using Whale Optimisation. J King Saud University-Computer Inform Sci 35(2):791\u2013809","journal-title":"J King Saud University-Computer Inform Sci"},{"key":"1323_CR34","doi-asserted-by":"crossref","unstructured":"Mangalampalli S, Karri GR, Kumar M, Khalaf OI, Romero CAT, Sahib GA (2023) DRLBTSA: deep reinforcement learning-based task-scheduling algorithm in cloud computing. Multimedia Tools and Applications, pp 1\u201329","DOI":"10.1007\/s11042-023-16008-2"},{"key":"1323_CR35","doi-asserted-by":"crossref","unstructured":"Li X (2023) An IFWA-BSA based Approach for Task Scheduling in Cloud Computing. J ICT Stand, 45\u201366","DOI":"10.13052\/jicts2245-800X.1113"},{"issue":"3","key":"1323_CR36","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.3390\/s23031384","volume":"23","author":"S Mangalampalli","year":"2023","unstructured":"Mangalampalli S, Karri GR, Elngar AA (2023) An efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing using Firefly optimization. Sensors 23(3):1384","journal-title":"Sensors"},{"issue":"1","key":"1323_CR37","doi-asserted-by":"publisher","first-page":"411","DOI":"10.3233\/JIFS-219200","volume":"42","author":"T Bezdan","year":"2022","unstructured":"Bezdan T, Zivkovic M, Bacanin N, Strumberger I, Tuba E, Tuba M (2022) Multi-objective task scheduling in cloud computing environment by hybridised bat algorithm. J Intell Fuzzy Syst 42(1):411\u2013423","journal-title":"J Intell Fuzzy Syst"},{"issue":"23","key":"1323_CR38","doi-asserted-by":"publisher","first-page":"13069","DOI":"10.1007\/s00500-021-06488-5","volume":"26","author":"MSA Khan","year":"2022","unstructured":"Khan MSA, Santhosh R (2022) Task scheduling in cloud computing using a hybrid optimisation algorithm. Soft Comput 26(23):13069\u201313079","journal-title":"Soft Comput"},{"key":"1323_CR39","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.comcom.2022.01.016","volume":"187","author":"N Manikandan","year":"2022","unstructured":"Manikandan N, Gobalakrishnan N, Pradeep K (2022) Bee optimisation based random double adaptive whale optimisation model for task scheduling in cloud computing environment. Comput Commun 187:35\u201344","journal-title":"Comput Commun"},{"key":"1323_CR40","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1108\/K-12-2020-0909","volume":"51","author":"A Heidari","year":"2021","unstructured":"Heidari A, Jafari Navimipour N (2021) Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review. Kybernetes 51:952\u2013981","journal-title":"Kybernetes"},{"key":"1323_CR41","doi-asserted-by":"publisher","first-page":"e539","DOI":"10.7717\/peerj-cs.539","volume":"7","author":"A Heidari","year":"2021","unstructured":"Heidari A, Jafari Navimipour N (2021) A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimisation algorithm. PeerJ Comput Sci 7:e539","journal-title":"PeerJ Comput Sci"},{"key":"1323_CR42","doi-asserted-by":"publisher","first-page":"8232","DOI":"10.3390\/app12168232","volume":"12","author":"A Heidari","year":"2022","unstructured":"Heidari A, Jabraeil Jamali MA, Jafari Navimipour N, Akbarpour S (2022) Deep Q-Learning technique for Offloading Offline\/Online Computation in Blockchain-enabled green IoT-Edge scenarios. Appl Sci 12:8232","journal-title":"Appl Sci"},{"key":"1323_CR43","doi-asserted-by":"publisher","first-page":"108320","DOI":"10.1016\/j.knosys.2022.108320","volume":"242","author":"FA Hashim","year":"2022","unstructured":"Hashim FA, Hussien A (2022) Snake optimiser: a novel meta-heuristic optimisation algorithm. Knowl -Based Syst 242:108320. https:\/\/doi.org\/10.1016\/j.knosys.2022.108320","journal-title":"Knowl -Based Syst"},{"key":"1323_CR44","doi-asserted-by":"crossref","unstructured":"Feng J, Zhang J, Zhu X, Lian W (2017) \u2018\u2019A novel chaos optimisation algorithm,\u2018\u2019 Multimedia Tools Appl., vol. 76, no. 16, pp. 17405\u201317436, Aug","DOI":"10.1007\/s11042-016-3907-z"},{"key":"1323_CR45","doi-asserted-by":"crossref","unstructured":"Al-Shourbaji I, Kachare PH, Alshathri S, Duraibi S, Elnaim B (2022) and M. Abd Elaziz, \u2018\u2019An efficient parallel reptile search algorithm and snake optimiser approach for feature selection,\u2018\u2019 Mathematics, vol. 10, no. 13, p. 2351, Jul","DOI":"10.3390\/math10132351"},{"key":"1323_CR46","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Lewis A \u2018\u2019The whale optimisation algorithm,\u2018\u2019 Adv. Eng. Softw., vol. 95, pp. 51\u201367, May 2016","DOI":"10.1016\/j.advengsoft.2016.01.008"},{"key":"1323_CR47","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.psep.2019.05.046","volume":"128","author":"J Shi","year":"2019","unstructured":"Shi J, Li X, Khan F, Chang Y, Zhu Y, Chen G (2019) Artificial bee colony based Bayesian Regularization Artificial Neural Network approach to model transient flammable cloud dispersion in congested area. Process Saf Environ Prot 128:121\u2013127","journal-title":"Process Saf Environ Prot"},{"key":"1323_CR48","doi-asserted-by":"publisher","first-page":"117169","DOI":"10.1016\/j.eswa.2022.117169","volume":"201","author":"AS Mahapatra","year":"2022","unstructured":"Mahapatra AS, Mahapatra MS, Sarkar B, Majumder SK (2022) Benefit of preservation technology with promotion and time-dependent deterioration under fuzzy learning. Expert Syst Appl 201:117169","journal-title":"Expert Syst Appl"},{"key":"1323_CR49","first-page":"102613","volume":"53","author":"S Bharany","year":"2022","unstructured":"Bharany S, Badotra S, Sharma S, Rani S, Alazab M, Jhaveri RH (2022) Reddy Gadekallu, T. Energy efficient fault tolerance techniques in green cloud computing: a systematic survey and taxonomy. Sustain Energy Technol Assess 53:102613","journal-title":"Sustain Energy Technol Assess"},{"issue":"6","key":"1323_CR50","doi-asserted-by":"publisher","first-page":"3433","DOI":"10.3390\/app13063433","volume":"13","author":"C Chandrashekar","year":"2023","unstructured":"Chandrashekar C, Krishnadoss P, Kedalu Poornachary V, Ananthakrishnan B, Rangasamy K (2023) HWACOA scheduler: hybrid weighted ant colony optimisation algorithm for task scheduling in cloud computing. Appl Sci 13(6):3433","journal-title":"Appl Sci"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01323-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-024-01323-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01323-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T07:21:21Z","timestamp":1725520881000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-024-01323-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,7]]},"references-count":50,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["1323"],"URL":"https:\/\/doi.org\/10.1007\/s00607-024-01323-9","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,7]]},"assertion":[{"value":"15 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 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 submitted work is original and has not been published elsewhere in any form or language.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research involving human participants and\/or animals"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}