{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T14:53:20Z","timestamp":1758293600708,"version":"3.44.0"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976158"],"award-info":[{"award-number":["61976158"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Sichuan Province of China","award":["2024NSFSC0486, 2024NSFSC0443"],"award-info":[{"award-number":["2024NSFSC0486, 2024NSFSC0443"]}]},{"name":"Sichuan Science and Technology Program of China","award":["2022ZYD0001"],"award-info":[{"award-number":["2022ZYD0001"]}]},{"name":"Humanities and Social Sciences Project of the Ministry of Education of China","award":["23YJA630114"],"award-info":[{"award-number":["23YJA630114"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s10489-025-06646-4","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T07:34:42Z","timestamp":1750059282000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improved attribute reductions based on combined measures from dependency-roughness-entropy fusion and classification-class-level integration"],"prefix":"10.1007","volume":"55","author":[{"given":"Yixiao","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5135-5958","authenticated-orcid":false,"given":"Xianyong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwen","family":"Mo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"issue":"1","key":"6646_CR1","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/TFUZZ.2017.2647966","volume":"26","author":"QH Hu","year":"2018","unstructured":"Hu QH, Zhang LJ, Zhou YC, Pedrycz W (2018) Large-Scale multimodality attribute reduction with multi-kernel fuzzy rough sets. IEEE Trans Fuzzy Syst 26(1):226\u2013238","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"6646_CR2","first-page":"1229","volume":"46","author":"SJ Tang","year":"2024","unstructured":"Tang SJ, Zhong YK (2024) Method for multiple attribute decision making with single-valued neutrosophic information and application to development level evaluation of rural preschool education. J Intell Fuzzy Syst 46(1):1229\u20131244","journal-title":"J Intell Fuzzy Syst"},{"key":"6646_CR3","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1007\/s13042-023-01954-y","volume":"15","author":"XL Peng","year":"2024","unstructured":"Peng XL, Wang P, Shao YB, Gong YL, Qian J (2024) Fast fixed granular-ball for attribute reduction in label noise environments and its application in medical diagnosis. Int J Mach Learn Cybernet 15:1039\u20131054","journal-title":"Int J Mach Learn Cybernet"},{"key":"6646_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3534-4","volume-title":"Rough Sets: Theoretical Aspects of Reasoning about Data","author":"Z Pawlak","year":"1991","unstructured":"Pawlak Z (1991) Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht"},{"key":"6646_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122369","volume":"239","author":"A Ali","year":"2024","unstructured":"Ali A, Rehman N, Ali M, Hila K (2024) A novel approach to three-way decision model under fuzzy soft dominance degree relations and emergency situation. Expert Syst Appl 239:122369","journal-title":"Expert Syst Appl"},{"issue":"1","key":"6646_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109092","volume":"177","author":"A Karamchandani","year":"2023","unstructured":"Karamchandani A, Srivastava SK, Abha Srivastava A (2023) A lower approximation based integrated decision analysis framework for a blockchain-based supply chain. Comput Ind Eng 177(1):109092","journal-title":"Comput Ind Eng"},{"issue":"1","key":"6646_CR7","doi-asserted-by":"publisher","first-page":"203","DOI":"10.47738\/jads.v5i1.166","volume":"5","author":"L Zhou","year":"2024","unstructured":"Zhou L, Boonsong S, Siramaneerat I, Sangsawang T, Sawetmethikul P (2024) Data envelopment analysis of scientific research performance for higher vocational colleges. J Appl Data Sci 5(1):203\u2013214","journal-title":"J Appl Data Sci"},{"issue":"9","key":"6646_CR8","doi-asserted-by":"publisher","first-page":"5060","DOI":"10.1109\/TFUZZ.2024.3437367","volume":"32","author":"XY Zhang","year":"2024","unstructured":"Zhang XY, Chen BW, Miao DQ (2024) Systematic feature selection based on three-level improvements of fuzzy dominance three-way neighborhood rough sets. IEEE Trans Fuzzy Syst 32(9):5060\u20135072","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"6646_CR9","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1007\/s10489-023-05142-x","volume":"54","author":"Q Wang","year":"2024","unstructured":"Wang Q, Zhang XY (2024) Feature selection using three-stage heuristic measures based on mutual fuzzy granularities. Appl Intell 54(2):1445\u20131473","journal-title":"Appl Intell"},{"issue":"8","key":"6646_CR10","doi-asserted-by":"publisher","first-page":"4436","DOI":"10.1109\/TFUZZ.2024.3399617","volume":"32","author":"ZX Deng","year":"2024","unstructured":"Deng ZX, Li TR, Deng DY, Liu KY, Luo ZP, Zhang PF (2024) Feature selection for handling label ambiguity using weighted label-fuzzy relevancy and redundancy. IEEE Trans Fuzzy Syst 32(8):4436\u20134447","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"6646_CR11","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.ins.2017.08.038","volume":"418","author":"YY Yao","year":"2017","unstructured":"Yao YY, Zhang XY (2017) Class-specific attribute reducts in rough set theory. Inf Sci 418:601\u2013618","journal-title":"Inf Sci"},{"key":"6646_CR12","doi-asserted-by":"publisher","first-page":"3577","DOI":"10.1016\/j.ins.2008.05.024","volume":"178","author":"QH Hu","year":"2008","unstructured":"Hu QH, Yu DR, Liu JF, Wu CX (2008) Neighborhood rough set based heterogeneous feature subset selection. Inf Sci 178:3577\u20133594","journal-title":"Inf Sci"},{"issue":"2\u20133","key":"6646_CR13","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1080\/03081079008935107","volume":"17","author":"D Dubois","year":"1990","unstructured":"Dubois D, Prade H (1990) Rough fuzzy-sets and fuzzy rough sets. Int J Gen Syst 17(2\u20133):191\u2013209","journal-title":"Int J Gen Syst"},{"key":"6646_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110100","volume":"136","author":"KL Qu","year":"2023","unstructured":"Qu KL, Xu JC, Hou QC, Qu KJ, Sun YH (2023) Feature selection using Information Gain and decision information in neighborhood decision system. Appl Soft Comput 136:110100","journal-title":"Appl Soft Comput"},{"key":"6646_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121472","volume":"689","author":"HT Wen","year":"2025","unstructured":"Wen HT, Xu Y, Liang MS (2025) Parallel attribute reduction algorithm for unlabeled data based on fuzzy discernibility matrix and soft deletion behavior. Inf Sci 689:121472","journal-title":"Inf Sci"},{"key":"6646_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121340","volume":"686","author":"KL Qu","year":"2025","unstructured":"Qu KL, Gao P, Dai Q, Sun YH, Xu H (2025) Attribute reduction using self-information uncertainty measures in optimistic neighborhood extreme-granulation rough set. Inf Sci 686:121340","journal-title":"Inf Sci"},{"issue":"9","key":"6646_CR17","doi-asserted-by":"publisher","first-page":"4031","DOI":"10.1109\/TCYB.2019.2923430","volume":"50","author":"CZ Wang","year":"2020","unstructured":"Wang CZ, Huang Y, Shao MW, Hu QH (2020) Feature selection based on neighborhood self-information. IEEE Trans Cybern 50(9):4031\u20134042","journal-title":"IEEE Trans Cybern"},{"key":"6646_CR18","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1016\/j.ins.2022.07.130","volume":"609","author":"F Jiang","year":"2022","unstructured":"Jiang F, Yu X, Gong DW, Du JW (2022) A random approximate reduct-based ensemble learning approach and its application in software defect prediction. Inf Sci 609:1147\u20131168","journal-title":"Inf Sci"},{"issue":"3","key":"6646_CR19","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1109\/TFUZZ.2018.2862870","volume":"27","author":"AH Tan","year":"2019","unstructured":"Tan AH, Wu WZ, Qian YH, Liang JY, Chen JK, Li JJ (2019) Intuitionistic fuzzy rough set-based granular structures and attribute subset selection. IEEE Trans Fuzzy Syst 27(3):527\u2013539","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"6646_CR20","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/TAI.2023.3319301","volume":"5","author":"WT Li","year":"2024","unstructured":"Li WT, Deng CJ, Pedrycz W, Castillo O, Zhang C, Zhan T (2024) Double-quantitative feature selection approach for multi-granularity ordered decision systems. IEEE Trans Artif Intell 5(5):385\u20132396","journal-title":"IEEE Trans Artif Intell"},{"issue":"9","key":"6646_CR21","doi-asserted-by":"publisher","first-page":"4031","DOI":"10.1109\/TCYB.2019.2923430","volume":"50","author":"CZ Wang","year":"2020","unstructured":"Wang CZ, Huang Y, Shao MW, Hu QH, Chen DG (2020) Feature selection based on neighborhood self-information. IEEE Trans Cybern 50(9):4031\u20134042","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"6646_CR22","first-page":"117","volume":"36","author":"JC Xu","year":"2018","unstructured":"Xu JC, Wang Y, Mu HY, Huang FZ (2018) Feature genes selection based on fuzzy neighborhood conditional entropy. J Intell Fuzzy Syst 36(1):117\u2013126","journal-title":"J Intell Fuzzy Syst"},{"issue":"3","key":"6646_CR23","first-page":"3741","volume":"43","author":"AK Mishra","year":"2022","unstructured":"Mishra AK, Singh RK, Jain NK (2022) A novel intuitionistic fuzzy rough set model and its application to enhance umami peptide prediction. J Intell Fuzzy Syst 43(3):3741\u20133755","journal-title":"J Intell Fuzzy Syst"},{"issue":"7","key":"6646_CR24","doi-asserted-by":"publisher","first-page":"2081","DOI":"10.1007\/s00500-017-2672-x","volume":"22","author":"JH Dai","year":"2018","unstructured":"Dai JH, Gao SC, Zheng GJ (2018) Generalized rough set models determined by multiple neighborhoods generated from a similarity relation. Soft Comput 22(7):2081\u20132094","journal-title":"Soft Comput"},{"key":"6646_CR25","doi-asserted-by":"publisher","unstructured":"Ahmed W,\u00a0Sufyan Beg MM, Ahmad T (2018) Entropy based feature selection for fuzzy set-valued information systems. 3D Research 9(2).\u00a0https:\/\/doi.org\/10.1007\/s13319-018-0170-2","DOI":"10.1007\/s13319-018-0170-2"},{"issue":"2","key":"6646_CR26","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1007\/s13042-020-01179-3","volume":"12","author":"XA Ma","year":"2021","unstructured":"Ma XA (2021) Fuzzy entropies for class-specific and classification-based attribute reducts in three-way probabilistic rough set models. Int J Mach Learn Cybernet 12(2):433\u2013457","journal-title":"Int J Mach Learn Cybernet"},{"key":"6646_CR27","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.ins.2021.01.080","volume":"563","author":"XY Zhang","year":"2021","unstructured":"Zhang XY, Yao H, Lv ZY, Miao DQ (2021) Class-specific information measures and attribute reducts for hierarchy and systematicness. Inf Sci 563:196\u2013225","journal-title":"Inf Sci"},{"key":"6646_CR28","doi-asserted-by":"publisher","first-page":"6705648","DOI":"10.1155\/2019\/6705648","volume":"2019","author":"JC Xu","year":"2019","unstructured":"Xu JC, Wang Y, Xu KQ, Zhang TL (2019) Feature genes selection using fuzzy rough uncertainty metric for tumor diagnosis. Comput Math Methods Med 2019:6705648","journal-title":"Comput Math Methods Med"},{"issue":"7","key":"6646_CR29","doi-asserted-by":"publisher","first-page":"561","DOI":"10.32604\/iasc.2023.037874","volume":"37","author":"TS Xing","year":"2023","unstructured":"Xing TS, Chen JJ, Xu TH, Yan F (2023) Fusing supervised and unsupervised measures for attribute reduction. Intell Autom Soft Comput 37(7):561\u2013581","journal-title":"Intell Autom Soft Comput"},{"issue":"1","key":"6646_CR30","first-page":"709","volume":"36","author":"BH Liang","year":"2019","unstructured":"Liang BH, Wang L, Liu Y (2019) Attribute reduction based on improved information entropy. J Intell Fuzzy Syst 36(1):709\u2013718","journal-title":"J Intell Fuzzy Syst"},{"issue":"11","key":"6646_CR31","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.32604\/cmc.2021.017516","volume":"66","author":"LN Wang","year":"2021","unstructured":"Wang LN, Zhang QX, Niu XL, Ren YJ, Xia JY (2021) Outlier detection of mixed data based on neighborhood combinatorial entropy. Comput Mater Continua 66(11):1765\u20131781","journal-title":"Comput Mater Continua"},{"key":"6646_CR32","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.ins.2021.06.092","volume":"577","author":"YM Zhang","year":"2021","unstructured":"Zhang YM, Jia XY, Tang ZM (2021) Information-theoretic measures of uncertainty for interval-set decision tables. Inf Sci 577:81\u2013104","journal-title":"Inf Sci"},{"key":"6646_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105373","volume":"192","author":"L Sun","year":"2020","unstructured":"Sun L, Wang LY, Ding WP, Qian YH, Xu JC (2020) Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. Knowl-Based Syst 192:105373","journal-title":"Knowl-Based Syst"},{"key":"6646_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110842","volume":"148","author":"HY Gou","year":"2023","unstructured":"Gou HY, Zhang XY, Yang JL, Lv ZY (2023) Three-way fusion measures and three-level feature selections based on neighborhood decision systems. Appl Soft Comput 148:110842","journal-title":"Appl Soft Comput"},{"key":"6646_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116187","volume":"190","author":"XY Zhang","year":"2022","unstructured":"Zhang XY, Yao YY (2022) Tri-level attribute reduction in rough set theory. Expert Syst Appl 190:116187","journal-title":"Expert Syst Appl"},{"key":"6646_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119945","volume":"657","author":"JF Jiang","year":"2024","unstructured":"Jiang JF, Zhang XY (2024) Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets. Inf Sci 657:119945","journal-title":"Inf Sci"},{"key":"6646_CR37","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.ijar.2018.09.005","volume":"103","author":"YY Yao","year":"2018","unstructured":"Yao YY (2018) Three-way decision and granular computing. Int J Approx Reason 103:107\u2013123","journal-title":"Int J Approx Reason"},{"key":"6646_CR38","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.knosys.2015.09.021","volume":"91","author":"AV Savchenko","year":"2016","unstructured":"Savchenko AV (2016) Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing. Knowl-Based Syst 91:252\u2013262","journal-title":"Knowl-Based Syst"},{"key":"6646_CR39","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.ijar.2022.01.015","volume":"144","author":"QZ Kong","year":"2022","unstructured":"Kong QZ, Zhang XW, Xu WH, Long BH (2022) A novel granular computing model based on three-way decision. Int J Approx Reason 144:92\u2013112","journal-title":"Int J Approx Reason"},{"key":"6646_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119950","volume":"657","author":"Y Song","year":"2024","unstructured":"Song Y, Lin H, Li ZW (2024) Outlier detection in a multiset-valued information system based on rough set theory and granular computing. Inf Sci 657:119950","journal-title":"Inf Sci"},{"issue":"3","key":"6646_CR41","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TFUZZ.2023.3325952","volume":"32","author":"DD Guo","year":"2024","unstructured":"Guo DD, Xu WH, Qian YH, Ding WP (2024) Fuzzy-granular concept-cognitive larning via three-way decision: performance evaluation on dynamic knowledge discovery. IEEE Trans Fuzzy Syst 32(3):1409\u20131423","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"6646_CR42","first-page":"1","volume":"5","author":"WT Li","year":"2023","unstructured":"Li WT, Deng CJ, Pedrycz W, Castillo O, Zhang C, Zhan T (2023) Double-quantitative feature selection approach for multi-granularity ordered decision systems. IEEE Trans Artif Intell 5(5):1\u201312","journal-title":"IEEE Trans Artif Intell"},{"key":"6646_CR43","unstructured":"DUA D, Graff C (2017) UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml Accessed 2 Jun 2024"},{"issue":"12","key":"6646_CR44","doi-asserted-by":"publisher","first-page":"7695","DOI":"10.1007\/s13369-018-3144-z","volume":"43","author":"M Hacibeyoglu","year":"2018","unstructured":"Hacibeyoglu M, Ibrahim MH (2018) EF_unique: an improved version of unsupervised equal frequency discretization method. Arab J Sci Eng 43(12):7695\u20137704","journal-title":"Arab J Sci Eng"},{"issue":"1","key":"6646_CR45","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1214\/aoms\/1177731944","volume":"11","author":"M Friedman","year":"1940","unstructured":"Friedman M (1940) A comparison of alternative tests of significance for the problem of m rankings. Annals Math Stat 11(1):86\u201392","journal-title":"Annals Math Stat"},{"key":"6646_CR46","first-page":"1","volume":"7","author":"J Demsar","year":"2006","unstructured":"Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"key":"6646_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109092","volume":"250","author":"XL Yang","year":"2022","unstructured":"Yang XL, Chen HM, Li TR, Luo C (2022) A noise-aware fuzzy rough set approach for feature selection. Knowl-Based Syst 250:109092","journal-title":"Knowl-Based Syst"},{"issue":"12","key":"6646_CR48","doi-asserted-by":"publisher","first-page":"4011","DOI":"10.1007\/s13042-023-01878-7","volume":"14","author":"JC Xu","year":"2023","unstructured":"Xu JC, Qu KL, Qu KJ, Hou QC, Meng XR (2023) Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification. Int J Mach Learn Cybernet 14(12):4011\u20134028","journal-title":"Int J Mach Learn Cybernet"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-025-06646-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-025-06646-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-025-06646-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T11:03:07Z","timestamp":1758279787000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-025-06646-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":48,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["6646"],"URL":"https:\/\/doi.org\/10.1007\/s10489-025-06646-4","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2025,6]]},"assertion":[{"value":"13 May 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare that they have no conflicts of interest to this work.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"739"}}