{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:56:08Z","timestamp":1777632968752,"version":"3.51.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021A1515011392"],"award-info":[{"award-number":["2021A1515011392"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10586-021-03434-w","type":"journal-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T10:04:55Z","timestamp":1635847495000},"page":"2417-2427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Intelligent ubiquitous computing for future UAV-enabled MEC network systems"],"prefix":"10.1007","volume":"25","author":[{"given":"Lunyuan","family":"Chen","sequence":"first","affiliation":[]},{"given":"Rui","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Ke","family":"He","sequence":"additional","affiliation":[]},{"given":"Zichao","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Liseng","family":"Fan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,2]]},"reference":[{"issue":"13","key":"3434_CR1","doi-asserted-by":"publisher","first-page":"3393","DOI":"10.1109\/TSP.2018.2831628","volume":"66","author":"B Wang","year":"2018","unstructured":"Wang, B., Gao, F., Jin, S., Lin, H., Li, G.Y.: Spatial- and frequency-wideband effects in millimeter-wave massive MIMO systems. IEEE Trans. Signal Process. 66(13), 3393\u20133406 (2018)","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"3434_CR2","doi-asserted-by":"publisher","first-page":"1763","DOI":"10.1109\/JSAC.2020.3000809","volume":"38","author":"X Hu","year":"2020","unstructured":"Hu, X., Zhong, C., Zhu, Y., Chen, X., Zhang, Z.: Programmable metasurface-based multicast systems: design and analysis. IEEE J. Sel. Areas Commun. 38(8), 1763\u20131776 (2020)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"3434_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3004432","author":"Z Na","year":"2020","unstructured":"Na, Z., Liu, Y., Shi, J., Liu, C., Gao, Z.: UAV-supported clustered NOMA for 6G-enabled Internet of Things: trajectory planning and resource allocation. IEEE Internet Things J. (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.3004432","journal-title":"IEEE Internet Things J."},{"key":"3434_CR4","first-page":"1","volume":"99","author":"Z Zhao","year":"2021","unstructured":"Zhao, Z.: System optimization of federated learning networks with a constrained latency. IEEE Trans. Veh. Technol. 99, 1\u20135 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"3434_CR5","first-page":"1","volume":"99","author":"S Tang","year":"2021","unstructured":"Tang, S.: Dilated convolution based CSI feedback compression for massive MIMO systems. IEEE Trans. Veh. Technol. 99, 1\u20135 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"101381","key":"3434_CR6","first-page":"1","volume":"47","author":"S Tang","year":"2021","unstructured":"Tang, S.: Battery-constrained federated edge learning in UAV-enabled IoT for B5G\/6G networks. Phys. Commun. 47(101381), 1\u20139 (2021b)","journal-title":"Phys. Commun."},{"key":"3434_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.comnet.2021.108122","volume":"192","author":"Y Guo","year":"2021","unstructured":"Guo, Y.: Efficient and flexible management for industrial Internet of Things: a federated learning approach. Comput. Netw. 192, 1\u20139 (2021)","journal-title":"Comput. Netw."},{"key":"3434_CR8","first-page":"1","volume":"99","author":"S Lai","year":"2021","unstructured":"Lai, S., Guo, Y.: Distributed machine learning for multiuser mobile edge computing systems. IEEE J. Sel. Top. Signal Process. 99, 1\u201312 (2021)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"3434_CR9","first-page":"1","volume":"99","author":"J Xia","year":"2022","unstructured":"Xia, J., Fan, L.: Computational intelligence and deep learning for next-generation edge-enabled industrial IoT. IEEE Trans. Netw. Sci. Eng. 99, 1\u201312 (2022)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"6","key":"3434_CR10","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1007\/s11036-017-0919-5","volume":"23","author":"C Yin","year":"2018","unstructured":"Yin, C., Nguyen, N., Garcia-Palacios, E., Tran, X.N., Le-Tien, T.: Secure energy harvesting communications with relay selection over Nakagami-m fading channels. Mob. Netw. Appl. 23(6), 1555\u20131562 (2018a)","journal-title":"Mob. Netw. Appl."},{"key":"3434_CR11","doi-asserted-by":"publisher","first-page":"12074","DOI":"10.1109\/ACCESS.2018.2794507","volume":"6","author":"C Yin","year":"2018","unstructured":"Yin, C., Nguyen, H.T., Kundu, C., Kaleem, Z.: Secure energy harvesting relay networks with unreliable backhaul connections. IEEE Access 6, 12074\u201312084 (2018b)","journal-title":"IEEE Access"},{"key":"3434_CR12","doi-asserted-by":"crossref","unstructured":"Webb, H., Yin, C., Nguyen, D.N., Le, T.T.N., Do, V.: Secrecy outage analysis in energy harvesting relay networks with a friendly jammer. In: 2020 4th SigTelCom, pp. 45\u201349 (2020)","DOI":"10.1109\/SigTelCom49868.2020.9199015"},{"issue":"2","key":"3434_CR13","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/s11036-018-1159-z","volume":"24","author":"C Yin","year":"2019","unstructured":"Yin, C., Garcia-Palacios, E.: Performance analysis for secure cooperative systems under unreliable backhaul over Nakagami-m channels. Mob. Netw. Appl. 24(2), 480\u2013490 (2019)","journal-title":"Mob. Netw. Appl."},{"issue":"(99)","key":"3434_CR14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCOMM.2022.3226487","volume":"PP","author":"L He","year":"2022","unstructured":"He, L., He, K.: Towards optimally efficient search with deep learning for large-scale MIMO systems. IEEE Trans. Commun. PP(99), 1\u201314 (2022)","journal-title":"IEEE Trans. Commun."},{"issue":"11","key":"3434_CR15","doi-asserted-by":"publisher","first-page":"7156","DOI":"10.1109\/TCOMM.2020.3014939","volume":"68","author":"A Masaracchia","year":"2020","unstructured":"Masaracchia, A., Nguyen, L.D., Duong, T.Q., Yin, C., Dobre, O.A., Garcia-Palacios, E.: Energy-efficient and throughput fair resource allocation for TS-NOMA UAV-assisted communications. IEEE Trans. Commun. 68(11), 7156\u20137169 (2020)","journal-title":"IEEE Trans. Commun."},{"key":"3434_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3020950","author":"X Li","year":"2020","unstructured":"Li, X., Mengyan, H., Liu, Y., Menon, V.G., Paul, A., Ding, Z.: I\/Q imbalance aware nonlinear wireless-powered relaying of B5G networks: security and reliability analysis. IEEE Trans. Netw. Sci. Eng. (2020). https:\/\/doi.org\/10.1109\/TNSE.2020.3020950","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"3434_CR17","doi-asserted-by":"publisher","first-page":"102031","DOI":"10.1016\/j.adhoc.2019.102031","volume":"98","author":"Z Na","year":"2020","unstructured":"Na, Z., Wang, J., Liu, C., Guan, M., Gao, Z.: Join trajectory optimization and communication design for UAV-enabled OFDM networks. Ad Hoc Netw. 98, 102031 (2020). https:\/\/doi.org\/10.1016\/j.adhoc.2019.102031","journal-title":"Ad Hoc Netw."},{"issue":"1","key":"3434_CR18","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1109\/TVT.2019.2954094","volume":"69","author":"G Gui","year":"2020","unstructured":"Gui, G., Liu, F., Sun, J., Yang, J., Zhou, Z., Zhao, D.: Flight delay prediction based on aviation big data and machine learning. IEEE Trans. Veh. Technol. 69(1), 140\u2013150 (2020)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"10","key":"3434_CR19","doi-asserted-by":"publisher","first-page":"12286","DOI":"10.1109\/TVT.2020.3006478","volume":"69","author":"X Li","year":"2020","unstructured":"Li, X., Zhao, M., Liu, Y., Li, L., Ding, Z., Nallanathan, A.: Secrecy analysis of ambient backscatter NOMA systems under I\/Q imbalance. IEEE Trans. Veh. Technol. 69(10), 12286\u201312290 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.3006478","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"101283","key":"3434_CR20","first-page":"1","volume":"45","author":"S Lai","year":"2021","unstructured":"Lai, S.: Intelligent secure mobile edge computing for beyond 5G wireless networks. Phys. Commun. 45(101283), 1\u20138 (2021a)","journal-title":"Phys. Commun."},{"key":"3434_CR21","doi-asserted-by":"crossref","unstructured":"Lai, X.: Secure mobile edge computing networks in the presence of multiple eavesdroppers. IEEE Trans. Commun. 1\u201312 (2021b)","DOI":"10.1109\/TCOMM.2021.3119075"},{"key":"3434_CR22","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1109\/TIFS.2019.2922229","volume":"15","author":"J Yang","year":"2020","unstructured":"Yang, J., Ruan, D., Huang, J., Kang, X., Shi, Y.: An embedding cost learning framework using GAN. IEEE Trans. Inf. Forensics Secur. 15, 839\u2013851 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"11","key":"3434_CR23","doi-asserted-by":"publisher","first-page":"7672","DOI":"10.1109\/TCOMM.2019.2935047","volume":"67","author":"J Xia","year":"2019","unstructured":"Xia, J.: Secure cache-aided multi-relay networks in the presence of multiple eavesdroppers. IEEE Trans. Commun. 67(11), 7672\u20137685 (2019)","journal-title":"IEEE Trans. Commun."},{"key":"3434_CR24","first-page":"1","volume":"99","author":"W Zhou","year":"2021","unstructured":"Zhou, W.: PSO based offloading strategy for cache-enabled mobile edge computing UAV networks. Clust. Comput. 99, 1\u20138 (2021)","journal-title":"Clust. Comput."},{"issue":"3","key":"3434_CR25","doi-asserted-by":"publisher","first-page":"2922","DOI":"10.1109\/TVT.2021.3058995","volume":"70","author":"C Li","year":"2021","unstructured":"Li, C., Xia, J., Liu, F., Li, D., Fan, L., Karagiannidis, G.K., Nallanathan, A.: Dynamic offloading for multiuser multi-cap MEC networks: a deep reinforcement learning approach. IEEE Trans. Veh. Technol. 70(3), 2922\u20132927 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"4","key":"3434_CR26","doi-asserted-by":"publisher","first-page":"2183","DOI":"10.1109\/TITS.2020.3012966","volume":"22","author":"J Zhao","year":"2021","unstructured":"Zhao, J., Sun, X., Li, Q., Ma, X.: Edge caching and computation management for real-time Internet of vehicles: an online and distributed approach. IEEE Trans. Intell. Transport. Syst. 22(4), 2183\u20132197 (2021)","journal-title":"IEEE Trans. Intell. Transport. Syst."},{"key":"3434_CR27","doi-asserted-by":"publisher","first-page":"101184","DOI":"10.1016\/j.phycom.2020.101184","volume":"43","author":"R Zhao","year":"2020","unstructured":"Zhao, R., Wang, X., Xia, J., Fan, L.: Deep reinforcement learning based mobile edge computing for intelligent Internet of Things. Phys. Commun. 43, 101184 (2020)","journal-title":"Phys. Commun."},{"issue":"4","key":"3434_CR28","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MIS.2020.2988525","volume":"35","author":"Y Liu","year":"2020","unstructured":"Liu, Y., Kang, Y., Xing, C., Chen, T., Yang, Q.: A secure federated transfer learning framework. IEEE Intell. Syst. 35(4), 70\u201382 (2020)","journal-title":"IEEE Intell. Syst."},{"issue":"1","key":"3434_CR29","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1109\/TNET.2020.3027434","volume":"29","author":"Z Xu","year":"2021","unstructured":"Xu, Z., Yang, D., Tang, J., Tang, Y., Yuan, T., Wang, Y., Xue, G.: An actor-critic-based transfer learning framework for experience-driven networking. IEEE\/ACM Trans. Netw. 29(1), 360\u2013371 (2021)","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"3434_CR30","doi-asserted-by":"crossref","unstructured":"Dai, C., Xiao, L., Wan, X., Chen, Y.: Reinforcement learning with safe exploration for network security. In: ICASSP 2019\u20142019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp 3057\u20133061 (2019)","DOI":"10.1109\/ICASSP.2019.8682983"},{"issue":"4","key":"3434_CR31","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MWC.001.1900207","volume":"27","author":"X Lu","year":"2020","unstructured":"Lu, X., Xiao, L., Dai, C., Dai, H.: UAV-aided cellular communications with deep reinforcement learning against jamming. IEEE Wirel. Commun. 27(4), 48\u201353 (2020)","journal-title":"IEEE Wirel. Commun."},{"issue":"7","key":"3434_CR32","doi-asserted-by":"publisher","first-page":"5453","DOI":"10.1109\/JIOT.2020.3029754","volume":"8","author":"X Li","year":"2021","unstructured":"Li, X., Wang, Q., Liu, M., Li, J., Peng, H., Piran, M.J., Li, L.: Cooperative wireless-powered NOMA relaying for B5G IoT networks with hardware impairments and channel estimation errors. IEEE Internet Things J. 8(7), 5453\u20135467 (2021). https:\/\/doi.org\/10.1109\/JIOT.2020.3029754","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"3434_CR33","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/LWC.2020.3027774","volume":"10","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Wang, J.: CV-3DCNN: complex-valued deep learning for CSI prediction in FDD massive MIMO systems. IEEE Wirel. Commun. Lett. 10(2), 266\u2013270 (2021)","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"4","key":"3434_CR34","doi-asserted-by":"publisher","first-page":"2723","DOI":"10.1109\/TCOMM.2021.3050503","volume":"69","author":"X Li","year":"2021","unstructured":"Li, X., Zhao, M., Zeng, M., Mumtaz, S., Menon, V.G., Ding, Z., Dobre, O.A.: Hardware impaired ambient backscatter NOMA systems: reliability and security. IEEE Trans. Commun. 69(4), 2723\u20132736 (2021). https:\/\/doi.org\/10.1109\/TCOMM.2021.3050503","journal-title":"IEEE Trans. Commun."},{"issue":"10","key":"3434_CR35","doi-asserted-by":"publisher","first-page":"2353","DOI":"10.1109\/LCOMM.2020.3002557","volume":"24","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Zhang, Y., Zhong, C., Zhang, Z.: Robust design for intelligent reflecting surfaces assisted MISO systems. IEEE Commun. Lett. 24(10), 2353\u20132357 (2020)","journal-title":"IEEE Commun. Lett."},{"issue":"11","key":"3434_CR36","doi-asserted-by":"publisher","first-page":"2464","DOI":"10.1109\/LCOMM.2020.3011843","volume":"24","author":"Q Tao","year":"2020","unstructured":"Tao, Q., Wang, J., Zhong, C.: Performance analysis of intelligent reflecting surface aided communication systems. IEEE Commun. Lett. 24(11), 2464\u20132468 (2020)","journal-title":"IEEE Commun. Lett."},{"issue":"4","key":"3434_CR37","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1109\/MVT.2019.2935793","volume":"14","author":"J Zhao","year":"2019","unstructured":"Zhao, J., Ni, S.: Multiband cooperation for 5G hetnets: a promising network paradigm. IEEE Veh. Technol. Mag. 14(4), 85\u201393 (2019)","journal-title":"IEEE Veh. Technol. Mag."},{"issue":"7540","key":"3434_CR38","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M.A., Fidjeland, A., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S., Hassabis, D.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"key":"3434_CR39","doi-asserted-by":"crossref","unstructured":"Chen, X., Zhang, H., Wu, C., Mao, S.: Performance optimization in mobile-edge computing via deep reinforcement learning. In: 88th IEEE Vehicular Technology Conference, VTC Fall 2018, Chicago, IL, USA, 27\u201330 August 2018, pp 1\u20136 (2018)","DOI":"10.1109\/VTCFall.2018.8690980"},{"key":"3434_CR40","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1109\/JSAC.2020.2986615","volume":"38","author":"X Xiong","year":"2020","unstructured":"Xiong, X., Zheng, K., Lei, L., Hou, L.: Resource allocation based on deep reinforcement learning in IoT edge computing. IEEE J. Sel. Areas Commun. 38, 1133\u20131146 (2020)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"10","key":"3434_CR41","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"3434_CR42","first-page":"1633","volume":"10","author":"ME Taylor","year":"2009","unstructured":"Taylor, M.E., Stone, P.: Transfer learning for reinforcement learning domains: a survey. J. Mach. Learn. Res. 10, 1633\u20131685 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"3434_CR43","unstructured":"Jin, C., Allen-Zhu, Z., Bubeck, S., Jordan, M.I.: Is Q-learning provably efficient? In: NeurIPS 2018, December, Montr\u00e9al, Canada, pp. 4868\u20134878 (2018)"},{"issue":"101295","key":"3434_CR44","first-page":"1","volume":"45","author":"Z Wang","year":"2021","unstructured":"Wang, Z.: An adaptive deep learning-based UAV receiver design for coded MIMO with correlated noise. Phys. Commun. 45(101295), 1\u20138 (2021)","journal-title":"Phys. Commun."},{"key":"3434_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.phycom.2020.101181","volume":"43","author":"K He","year":"2020","unstructured":"He, K.: Ultra-reliable MU-MIMO detector based on deep learning for 5G\/B5G-enabled IoT. Phys. Commun. 43, 1\u20137 (2020)","journal-title":"Phys. Commun."},{"issue":"3","key":"3434_CR46","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1109\/TBC.2020.2985592","volume":"66","author":"J Xia","year":"2020","unstructured":"Xia, J., Deng, D., Fan, D.: A note on implementation methodologies of deep learning-based signal detection for conventional MIMO transmitters. IEEE Trans. Broadcast. 66(3), 744\u2013745 (2020)","journal-title":"IEEE Trans. Broadcast."},{"key":"3434_CR47","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1109\/TCOMM.2021.3058999","volume":"69","author":"K He","year":"2021","unstructured":"He, K.: Learning based signal detection for MIMO systems with unknown noise statistics. IEEE Trans. Commun. 69, 3025\u20133038 (2021)","journal-title":"IEEE Trans. Commun."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03434-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03434-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03434-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T09:30:44Z","timestamp":1673688644000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03434-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,2]]},"references-count":47,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["3434"],"URL":"https:\/\/doi.org\/10.1007\/s10586-021-03434-w","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,2]]},"assertion":[{"value":"16 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 November 2021","order":4,"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 there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}