{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T21:30:55Z","timestamp":1777930255815,"version":"3.51.4"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T00:00:00Z","timestamp":1772150400000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"National Key Research and Development Program on Smart Grid Technology","award":["2024ZD0800603"],"award-info":[{"award-number":["2024ZD0800603"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Intell Syst"],"DOI":"10.1007\/s44196-025-01104-y","type":"journal-article","created":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T05:21:17Z","timestamp":1772083277000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimal Scheduling of Highway Service Area PV-Wind-BESS Based on Hybrid Genetic Algorithm"],"prefix":"10.1007","volume":"19","author":[{"given":"Zihong","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingjun","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhukui","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongxiang","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyu","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Molin","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,26]]},"reference":[{"issue":"6","key":"1104_CR1","doi-asserted-by":"publisher","first-page":"2448","DOI":"10.1109\/TPWRD.2014.2360064","volume":"29","author":"X Wu","year":"2014","unstructured":"Wu, X., Wang, X., Qu, C.: A hierarchical framework for generation scheduling of microgrids. IEEE Trans. Power Deliv. 29(6), 2448\u20132457 (2014). https:\/\/doi.org\/10.1109\/TPWRD.2014.2360064","journal-title":"IEEE Trans. Power Deliv."},{"issue":"4","key":"1104_CR2","doi-asserted-by":"publisher","first-page":"3773","DOI":"10.1109\/TVT.2020.2973601","volume":"69","author":"JJ Eckert","year":"2020","unstructured":"Eckert, J.J., de Alkmin Silva, L.C., Dedini, F.G., Corr\u00eaa, F.C.: Electric vehicle powertrain and fuzzy control multi-objective optimization, considering dual hybrid energy storage systems. IEEE Trans. Veh. Technol. 69(4), 3773\u20133782 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.2973601","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"1104_CR3","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1109\/TTE.2022.3141208","volume":"8","author":"T-Y Zhang","year":"2022","unstructured":"Zhang, T.-Y., Yang, Y., Zhu, Y.-T., Yao, E.-J., Wu, K.-Q.: Deploying public charging stations for battery electric vehicles on the expressway network based on dynamic charging demand. IEEE Trans. Transp. Electrif. 8(2), 2531\u20132548 (2022). https:\/\/doi.org\/10.1109\/TTE.2022.3141208","journal-title":"IEEE Trans. Transp. Electrif."},{"issue":"11","key":"1104_CR4","doi-asserted-by":"publisher","first-page":"15249","DOI":"10.1109\/JIOT.2025.3530449","volume":"12","author":"H Yan","year":"2025","unstructured":"Yan, H., Tang, X.: Incorporating bounded rationality into electric vehicle highway charging decisions: a Bayesian game analysis. IEEE Internet Things J. 12(11), 15249\u201315260 (2025). https:\/\/doi.org\/10.1109\/JIOT.2025.3530449","journal-title":"IEEE Internet Things J."},{"key":"1104_CR5","doi-asserted-by":"publisher","first-page":"125238","DOI":"10.1109\/ACCESS.2021.3110950","volume":"9","author":"R Ando","year":"2021","unstructured":"Ando, R., Ishii, H., Hayashi, Y., Zhu, G.: A planned power generation for battery-assisted photovoltaic system using short-term forecast. IEEE Access 9, 125238\u2013125246 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3110950","journal-title":"IEEE Access"},{"issue":"1","key":"1104_CR6","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1109\/TIA.2023.3323917","volume":"60","author":"B Li","year":"2024","unstructured":"Li, B., Sun, H., Lou, J., Sun, K., Zhang, Z., Sun, Y.: An integration scheme for highway rest area integrating the distributed photovoltaic generation and energy storage. IEEE Trans. Ind. Appl. 60(1), 1083\u20131092 (2024). https:\/\/doi.org\/10.1109\/TIA.2023.3323917","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"6","key":"1104_CR7","doi-asserted-by":"publisher","first-page":"6806","DOI":"10.1109\/TSG.2017.2723845","volume":"9","author":"UK Kalla","year":"2018","unstructured":"Kalla, U.K., Singh, B., Murthy, S.S., Jain, C., Kant, K.: Adaptive sliding mode control of standalone single-phase microgrid using hydro, wind, and solar PV array-based generation. IEEE Trans. Smart Grid 9(6), 6806\u20136814 (2018). https:\/\/doi.org\/10.1109\/TSG.2017.2723845","journal-title":"IEEE Trans. Smart Grid"},{"issue":"2","key":"1104_CR8","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1109\/TIA.2015.2483583","volume":"52","author":"B-R Ke","year":"2016","unstructured":"Ke, B.-R., Ku, T.-T., Ke, Y.-L., Chuang, C.-Y., Chen, H.-Z.: Sizing the battery energy storage system on a University campus with prediction of load and photovoltaic generation. IEEE Trans. Ind. Appl. 52(2), 1136\u20131147 (2016). https:\/\/doi.org\/10.1109\/TIA.2015.2483583","journal-title":"IEEE Trans. Ind. Appl."},{"key":"1104_CR9","doi-asserted-by":"crossref","unstructured":"Abdel-Mawgoud H, Ali A, Kamel S, Rahmann C, Mkjkjna AM (2021) \u201cA Modified Manta Ray Foraging Optimizer for Planning Inverter-Based Photovoltaic With Battery Energy Storage System and Wind Turbine in Distribution Networks,\u201d IEEE Access, 9, 91062\u201391079","DOI":"10.1109\/ACCESS.2021.3092145"},{"issue":"1","key":"1104_CR10","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1109\/TSTE.2019.2892024","volume":"11","author":"SM Mohseni-Bonab","year":"2020","unstructured":"Mohseni-Bonab, S.M., Kamwa, I., Moeini, A., Rabiee, A.: Voltage security constrained stochastic programming model for day-ahead BESS schedule in co-optimization of T&D systems. IEEE Trans. Sustain. Energy 11(1), 391\u2013404 (2020). https:\/\/doi.org\/10.1109\/TSTE.2019.2892024","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"1104_CR11","doi-asserted-by":"publisher","first-page":"23245","DOI":"10.1109\/ACCESS.2023.3252891","volume":"11","author":"MM Gulzar","year":"2023","unstructured":"Gulzar, M.M., Iqbal, A., Sibtain, D., Khalid, M.: An innovative converterless solar PV control strategy for a grid connected hybrid PV\/wind\/fuel-cell system coupled with battery energy storage. IEEE Access 11, 23245\u201323259 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3252891","journal-title":"IEEE Access"},{"issue":"3","key":"1104_CR12","doi-asserted-by":"publisher","first-page":"3026","DOI":"10.1109\/JSYST.2019.2918185","volume":"13","author":"M Ahmadi","year":"2019","unstructured":"Ahmadi, M., Lotfy, M.E., Shigenobu, R., Howlader, A.M., Senjyu, T.: Optimal sizing of multiple renewable energy resources and PV inverter reactive power control encompassing environmental, technical, and economic issues. IEEE Syst. J. 13(3), 3026\u20133037 (2019). https:\/\/doi.org\/10.1109\/JSYST.2019.2918185","journal-title":"IEEE Syst. J."},{"issue":"4","key":"1104_CR13","doi-asserted-by":"publisher","first-page":"3416","DOI":"10.1109\/TIA.2021.3075655","volume":"57","author":"T-T Ku","year":"2021","unstructured":"Ku, T.-T., Li, C.-S.: Implementation of battery energy storage system for an island microgrid with high PV penetration. IEEE Trans. Ind. Appl. 57(4), 3416\u20133424 (2021). https:\/\/doi.org\/10.1109\/TIA.2021.3075655","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"3","key":"1104_CR14","doi-asserted-by":"publisher","first-page":"3196","DOI":"10.1109\/TIA.2020.2979792","volume":"56","author":"A Sattar","year":"2020","unstructured":"Sattar, A., Al-Durra, A., Caruana, C., Debouza, M., Muyeen, S.M.: Testing the performance of battery energy storage in a wind energy conversion system. IEEE Trans. Ind. Appl. 56(3), 3196\u20133206 (2020). https:\/\/doi.org\/10.1109\/TIA.2020.2979792","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"2","key":"1104_CR15","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/TSTE.2013.2247428","volume":"4","author":"X Li","year":"2013","unstructured":"Li, X., Hui, D., Lai, X.: Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations. IEEE Trans. Sustain. Energy 4(2), 464\u2013473 (2013). https:\/\/doi.org\/10.1109\/TSTE.2013.2247428","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"1104_CR16","doi-asserted-by":"publisher","first-page":"97896","DOI":"10.1109\/ACCESS.2023.3311893","volume":"11","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Zhou, L., Zheng, S.: Multi-objective optimization design of low specific speed centrifugal pumps based on genetic algorithm. IEEE Access 11, 97896\u201397908 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3311893","journal-title":"IEEE Access"},{"key":"1104_CR17","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1109\/ACCESS.2024.3373056","volume":"13","author":"S Kashyap","year":"2025","unstructured":"Kashyap, S., Ghose, T.: An iterative heuristic optimization method for the optimum sizing of battery energy storage system to augment the dispatchability of wind generators. IEEE Access 13, 980\u2013994 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2024.3373056","journal-title":"IEEE Access"},{"issue":"4","key":"1104_CR18","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1109\/JSYST.2012.2219912","volume":"7","author":"HM Hasanien","year":"2013","unstructured":"Hasanien, H.M.: Design optimization of PID controller in automatic voltage regulator system using Taguchi combined genetic algorithm method. IEEE Syst. J. 7(4), 825\u2013831 (2013). https:\/\/doi.org\/10.1109\/JSYST.2012.2219912","journal-title":"IEEE Syst. J."},{"issue":"6","key":"1104_CR19","doi-asserted-by":"publisher","first-page":"2144","DOI":"10.17775\/CSEEJPES.2021.00190","volume":"9","author":"S Guo","year":"2023","unstructured":"Guo, S., Kurban, A., He, Y., Wu, F., Pei, H., Song, G.: Multi-objective sizing of solar-wind-hydro hybrid power system with doubled energy storages under optimal coordinated operational strategy. CSEE J. Power Energy Syst. 9(6), 2144\u20132155 (2023). https:\/\/doi.org\/10.17775\/CSEEJPES.2021.00190","journal-title":"CSEE J. Power Energy Syst."},{"issue":"5","key":"1104_CR20","doi-asserted-by":"publisher","first-page":"3774","DOI":"10.1109\/JIOT.2020.3024223","volume":"8","author":"J Bi","year":"2021","unstructured":"Bi, J., Yuan, H., Duanmu, S., Zhou, M., Abusorrah, A.: Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization. IEEE Internet Things J. 8(5), 3774\u20133785 (2021). https:\/\/doi.org\/10.1109\/JIOT.2020.3024223","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"1104_CR21","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/JPETS.2019.2935703","volume":"6","author":"J Ospina","year":"2019","unstructured":"Ospina, J.: Sampling-based model predictive control of PV-integrated energy storage system considering power generation forecast and real-time price. IEEE Power Energy Technol. Syst. J. 6(4), 195\u2013207 (2019). https:\/\/doi.org\/10.1109\/JPETS.2019.2935703","journal-title":"IEEE Power Energy Technol. Syst. J."},{"issue":"4","key":"1104_CR22","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s40565-016-0247-y","volume":"4","author":"X Li","year":"2016","unstructured":"Li, X., Yao, L., Hui, D.: Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations. J. Mod. Power Syst. Clean Energy 4(4), 593\u2013603 (2016). https:\/\/doi.org\/10.1007\/s40565-016-0247-y","journal-title":"J. Mod. Power Syst. Clean Energy"},{"issue":"1","key":"1104_CR23","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1109\/TEC.2007.914309","volume":"23","author":"D-J Lee","year":"2008","unstructured":"Lee, D.-J., Wang, L.: Small-signal stability analysis of an autonomous hybrid renewable energy power generation\/energy storage system part I: time-domain simulations. IEEE Trans. Energy Convers. 23(1), 311\u2013320 (2008). https:\/\/doi.org\/10.1109\/TEC.2007.914309","journal-title":"IEEE Trans. Energy Convers."},{"issue":"7","key":"1104_CR24","doi-asserted-by":"publisher","first-page":"4292","DOI":"10.1109\/TCYB.2022.3165074","volume":"53","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Yang, Q., An, D., Li, D., Wu, Z.: Multistep multiagent reinforcement learning for optimal energy schedule strategy of charging stations in smart grid. IEEE Trans. Cybern. 53(7), 4292\u20134305 (2023). https:\/\/doi.org\/10.1109\/TCYB.2022.3165074","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"1104_CR25","doi-asserted-by":"publisher","first-page":"257","DOI":"10.23919\/CSMS.2021.0027","volume":"1","author":"L Wang","year":"2021","unstructured":"Wang, L., Pan, Z., Wang, J.: A review of reinforcement learning based intelligent optimization for manufacturing scheduling. Complex Syst. Model. Simul. 1(4), 257\u2013270 (2021). https:\/\/doi.org\/10.23919\/CSMS.2021.0027","journal-title":"Complex Syst. Model. Simul."},{"issue":"3","key":"1104_CR26","doi-asserted-by":"publisher","first-page":"4325","DOI":"10.1109\/JSYST.2020.3021379","volume":"15","author":"S Lyden","year":"2021","unstructured":"Lyden, S., Galligan, H., Haque, M.E.: A hybrid simulated annealing and perturb and observe maximum power point tracking method. IEEE Syst. J. 15(3), 4325\u20134333 (2021). https:\/\/doi.org\/10.1109\/JSYST.2020.3021379","journal-title":"IEEE Syst. J."},{"issue":"6","key":"1104_CR27","doi-asserted-by":"publisher","first-page":"1760","DOI":"10.17775\/CSEEJPES.2021.02280","volume":"8","author":"W Dong","year":"2022","unstructured":"Dong, W., Zhang, L., Zhang, D., Cui, Q.: Hierarchical multi-objective planning for integrated energy systems in smart parks considering operational characteristics. CSEE J. Power Energy Syst. 8(6), 1760\u20131771 (2022). https:\/\/doi.org\/10.17775\/CSEEJPES.2021.02280","journal-title":"CSEE J. Power Energy Syst."},{"issue":"5","key":"1104_CR28","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1109\/TEVC.2023.3312769","volume":"28","author":"H Qin","year":"2024","unstructured":"Qin, H., Bai, W., Xiang, Y., Liu, F., Han, Y., Wang, L.: A self-adaptive collaborative differential evolution algorithm for solving energy resource management problems in smart grids. IEEE Trans. Evol. Comput. 28(5), 1427\u20131441 (2024). https:\/\/doi.org\/10.1109\/TEVC.2023.3312769","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"1104_CR29","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1109\/TGCN.2021.3061789","volume":"5","author":"Z Xu","year":"2021","unstructured":"Xu, Z., Han, G., Liu, L., Mart\u00ednez-Garc\u00eda, M., Wang, Z.: Multi-energy scheduling of an industrial integrated energy system by reinforcement learning-based differential evolution. IEEE Trans. Green Commun. Netw. 5(3), 1077\u20131090 (2021). https:\/\/doi.org\/10.1109\/TGCN.2021.3061789","journal-title":"IEEE Trans. Green Commun. Netw."},{"issue":"2","key":"1104_CR30","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1109\/TGCN.2021.3136363","volume":"6","author":"H Yuan","year":"2022","unstructured":"Yuan, H., et al.: BESS aided renewable energy supply using deep reinforcement learning for 5G and beyond. IEEE Trans. Green Commun. Netw. 6(2), 669\u2013684 (2022). https:\/\/doi.org\/10.1109\/TGCN.2021.3136363","journal-title":"IEEE Trans. Green Commun. Netw."},{"issue":"2","key":"1104_CR31","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1109\/TSTE.2023.3341632","volume":"15","author":"M Zhang","year":"2024","unstructured":"Zhang, M., Guo, G., Magn\u00fasson, S., Pilawa-Podgurski, R.C.N., Xu, Q.: Data driven decentralized control of inverter based renewable energy sources using safe guaranteed multi-agent deep reinforcement learning. IEEE Trans. Sustain. Energy 15(2), 1288\u20131299 (2024). https:\/\/doi.org\/10.1109\/TSTE.2023.3341632","journal-title":"IEEE Trans. Sustain. Energy"},{"issue":"6","key":"1104_CR32","doi-asserted-by":"publisher","first-page":"1029","DOI":"10.35833\/MPCE.2020.000552","volume":"8","author":"D Cao","year":"2020","unstructured":"Cao, D., et al.: Reinforcement learning and its applications in modern power and energy systems: a review. J. Mod. Power Syst. Clean Energy 8(6), 1029\u20131042 (2020). https:\/\/doi.org\/10.35833\/MPCE.2020.000552","journal-title":"J. Mod. Power Syst. Clean Energy"},{"issue":"5","key":"1104_CR33","first-page":"9","volume":"27","author":"D Wu","year":"2024","unstructured":"Wu, D., Xu, T., Zhang, N.: Multi-agent bi-level optimal scheduling method for park integrated energy systems based on carbon trading and leader-follower game theory. Power Syst. Big Data 27(5), 9\u201318 (2024)","journal-title":"Power Syst. Big Data"},{"issue":"11","key":"1104_CR34","doi-asserted-by":"publisher","first-page":"8689","DOI":"10.1109\/TSMC.2025.3611946","volume":"55","author":"J Chen","year":"2025","unstructured":"Chen, J., Guo, Y., Kong, X., Xu, K., Ai, C.: Trajectory planning and high-precision motion control of excavators based on independent metering hydraulic configuration. IEEE Trans. Syst. Man Cybern. Syst. 55(11), 8689\u20138700 (2025). https:\/\/doi.org\/10.1109\/TSMC.2025.3611946","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"1104_CR35","doi-asserted-by":"publisher","first-page":"21635","DOI":"10.1109\/TASE.2025.3614750","volume":"22","author":"M Li","year":"2025","unstructured":"Li, M., Huang, L., Han, H., Wang, C.: Enhancing battery electric vehicles safety optimization with adaptive MOEA\/D based on dynamic grid and multiple dominance. IEEE Trans. Autom. Sci. Eng. 22, 21635\u201321650 (2025). https:\/\/doi.org\/10.1109\/TASE.2025.3614750","journal-title":"IEEE Trans. Autom. Sci. Eng."}],"container-title":["International Journal of Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44196-025-01104-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-025-01104-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-025-01104-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T10:52:34Z","timestamp":1772189554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44196-025-01104-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,26]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1104"],"URL":"https:\/\/doi.org\/10.1007\/s44196-025-01104-y","relation":{},"ISSN":["1875-6883"],"issn-type":[{"value":"1875-6883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,26]]},"assertion":[{"value":"22 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 October 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 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":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"98"}}