{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T17:35:46Z","timestamp":1772127346053,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T00:00:00Z","timestamp":1504051200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1007\/s00500-017-2794-1","type":"journal-article","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T06:08:38Z","timestamp":1504073318000},"page":"431-450","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Image segmentation by minimum cross entropy using evolutionary methods"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8781-7993","authenticated-orcid":false,"given":"Diego","family":"Oliva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvador","family":"Hinojosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valent\u00edn","family":"Osuna-Enciso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Cuevas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"P\u00e9rez-Cisneros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gildardo","family":"Sanchez-Ante","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,30]]},"reference":[{"key":"2794_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.swevo.2013.02.001","volume":"11","author":"S Agrawal","year":"2013","unstructured":"Agrawal S, Panda R, Bhuyan S, Panigrahi BK (2013) Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm. Swarm Evol Comput 11:16\u201330. doi:\n                    10.1016\/j.swevo.2013.02.001","journal-title":"Swarm Evol Comput"},{"key":"2794_CR2","doi-asserted-by":"publisher","first-page":"3066","DOI":"10.1016\/j.asoc.2012.03.072","volume":"13","author":"B Akay","year":"2013","unstructured":"Akay B (2013) A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding. Appl Soft Comput 13:3066\u20133091. doi:\n                    10.1016\/j.asoc.2012.03.072","journal-title":"Appl Soft Comput"},{"key":"2794_CR3","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1016\/j.eswa.2013.10.059","volume":"41","author":"AK Bhandari","year":"2014","unstructured":"Bhandari AK, Singh VK, Kumar A, Singh GK (2014) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy. Expert Syst Appl 41:3538\u20133560. doi:\n                    10.1016\/j.eswa.2013.10.059","journal-title":"Expert Syst Appl"},{"key":"2794_CR4","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1023\/A:1022452626305","volume":"25","author":"\u015eI Birbil","year":"2003","unstructured":"Birbil \u015eI, Fang SC (2003) An electromagnetism-like mechanism for global optimization. J Glob Optim 25:263\u2013282. doi:\n                    10.1023\/A:1022452626305","journal-title":"J Glob Optim"},{"key":"2794_CR5","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s10898-004-8270-3","volume":"30","author":"\u015eI Birbil","year":"2004","unstructured":"Birbil \u015eI, Fang SC, Sheu RL (2004) On the convergence of a population-based global optimization algorithm. J Glob Optim 30:301\u2013318","journal-title":"J Glob Optim"},{"key":"2794_CR6","doi-asserted-by":"publisher","first-page":"12047","DOI":"10.1088\/1755-1315\/17\/1\/012047","volume":"17","author":"X Cao","year":"2014","unstructured":"Cao X, Li Q, Du X et al (2014) Exploring effect of segmentation scale on orient-based crop identification using HJ CCD data in Northeast China. IOP Conf Ser Earth Environ Sci 17:12047. doi:\n                    10.1088\/1755-1315\/17\/1\/012047","journal-title":"IOP Conf Ser Earth Environ Sci"},{"key":"2794_CR7","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"LN Castro De","year":"2002","unstructured":"De Castro LN, Von Zuben FJ (2002) Learning and optimization using the clonal selection principle. IEEE Trans Evol Comput 6:239\u2013251. doi:\n                    10.1109\/TEVC.2002.1011539","journal-title":"IEEE Trans Evol Comput"},{"key":"2794_CR8","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/BF00113894","volume":"3","author":"K Jong De","year":"1988","unstructured":"De Jong K (1988) Learning with genetic algorithms: an overview. Mach Learn 3:121\u2013138. doi:\n                    10.1007\/BF00113894","journal-title":"Mach Learn"},{"issue":"1","key":"2794_CR9","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M Dorigo","year":"1996","unstructured":"Dorigo M, Maniezzo V, Colorni A (1996) Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern B Cybern 26(1):29\u201341. doi:\n                    10.1109\/3477.484436","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"2794_CR10","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s10732-008-9080-4","volume":"15","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms\u2019 behaviour: a case study on the CEC 2005 special session on real parameter optimization. J Heuristics 15:617\u2013644. doi:\n                    10.1007\/s10732-008-9080-4","journal-title":"J Heuristics"},{"key":"2794_CR11","doi-asserted-by":"publisher","first-page":"12407","DOI":"10.1016\/j.eswa.2012.04.078","volume":"39","author":"P Ghamisi","year":"2012","unstructured":"Ghamisi P, Couceiro MS, Benediktsson JA, Ferreira NMF (2012) An efficient method for segmentation of images based on fractional calculus and natural selection. Expert Syst Appl 39:12407\u201312417. doi:\n                    10.1016\/j.eswa.2012.04.078","journal-title":"Expert Syst Appl"},{"key":"2794_CR12","volume-title":"Digital image processing","author":"RC Gonzalez","year":"1992","unstructured":"Gonzalez RC, Woods RE (1992) Digital image processing. Pearson, Prentice-Hall, New Jersey"},{"key":"2794_CR13","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.cviu.2007.09.001","volume":"109","author":"K Hammouche","year":"2008","unstructured":"Hammouche K, Diaf M, Siarry P (2008) A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation. Comput Vis Image Underst 109:163\u2013175. doi:\n                    10.1016\/j.cviu.2007.09.001","journal-title":"Comput Vis Image Underst"},{"key":"2794_CR14","doi-asserted-by":"publisher","first-page":"4580","DOI":"10.1016\/j.eswa.2009.12.050","volume":"37","author":"M-H Horng","year":"2010","unstructured":"Horng M-H (2010) Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization. Expert Syst Appl 37:4580\u20134592. doi:\n                    10.1016\/j.eswa.2009.12.050","journal-title":"Expert Syst Appl"},{"key":"2794_CR15","doi-asserted-by":"publisher","first-page":"13785","DOI":"10.1016\/j.eswa.2011.04.180","volume":"38","author":"M-H Horng","year":"2011","unstructured":"Horng M-H (2011) Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation. Expert Syst Appl 38:13785\u201313791. doi:\n                    10.1016\/j.eswa.2011.04.180","journal-title":"Expert Syst Appl"},{"key":"2794_CR16","doi-asserted-by":"publisher","first-page":"14805","DOI":"10.1016\/j.eswa.2011.05.069","volume":"38","author":"M-H Horng","year":"2011","unstructured":"Horng M-H, Liou R-J (2011) Multilevel minimum cross entropy threshold selection based on the firefly algorithm. Expert Syst Appl 38:14805\u201314811. doi:\n                    10.1016\/j.eswa.2011.05.069","journal-title":"Expert Syst Appl"},{"key":"2794_CR17","first-page":"2037","volume":"7","author":"HL Hung","year":"2011","unstructured":"Hung HL, Huang YF (2011) Peak to average power ratio reduction of multicarrier transmission systems using electromagnetism-like method. Int J Innov Comput Inf Control 7:2037\u20132050","journal-title":"Int J Innov Comput Inf Control"},{"key":"2794_CR18","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1109\/TPAMI.2004.105","volume":"26","author":"O Il-Seok","year":"2004","unstructured":"Il-Seok O, Lee J-S, Moon B-R (2004) Hybrid genetic algorithms for feature selection. IEEE Trans Pattern Anal Mach Intell 26:1424\u20131437. doi:\n                    10.1109\/TPAMI.2004.105","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2794_CR19","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.aeue.2008.04.001","volume":"63","author":"JY Jhang","year":"2009","unstructured":"Jhang JY, Lee KC (2009) Array pattern optimization using electromagnetism-like algorithm. AEU Int J Electron Commun 63:491\u2013496. doi:\n                    10.1016\/j.aeue.2008.04.001","journal-title":"AEU Int J Electron Commun"},{"key":"2794_CR20","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","volume":"29","author":"JN Kapur","year":"1985","unstructured":"Kapur JN, Sahoo PK, Wong AKC (1985) A new method for gray-level picture thresholding using the entropy of the histogram. Comput Vis Graph Image Process 29:273\u2013285. doi:\n                    10.1016\/0734-189X(85)90125-2","journal-title":"Comput Vis Graph Image Process"},{"key":"2794_CR21","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39:459\u2013471. doi:\n                    10.1007\/s10898-007-9149-x","journal-title":"J Glob Optim"},{"key":"2794_CR22","first-page":"461","volume-title":"Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix","author":"T Kaur","year":"2016","unstructured":"Kaur T, Saini BS, Gupta S (2016) Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix. Springer, Berlin, pp 461\u2013486"},{"key":"2794_CR23","doi-asserted-by":"publisher","unstructured":"Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Neural Networks, 1995 proceedings, IEEE international conference, vol. 4, pp 1942\u20131948. doi:\n                    10.1109\/ICNN.1995.488968","DOI":"10.1109\/ICNN.1995.488968"},{"key":"2794_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.029","author":"AKM Khairuzzaman","year":"2017","unstructured":"Khairuzzaman AKM, Chaudhury S (2017) Multilevel thresholding using grey wolf optimizer for image segmentation. Expert Syst Appl. doi:\n                    10.1016\/j.eswa.2017.04.029","journal-title":"Expert Syst Appl"},{"key":"2794_CR25","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/LSP.2014.2364612","volume":"22","author":"Y Kong","year":"2015","unstructured":"Kong Y, Deng Y, Dai Q (2015) Discriminative clustering and feature selection for brain MRI segmentation. IEEE Signal Process Lett 22:573\u2013577","journal-title":"IEEE Signal Process Lett"},{"key":"2794_CR26","volume-title":"Information theory and statistics","author":"S Kullback","year":"1968","unstructured":"Kullback S (1968) Information theory and statistics. Dover, New York"},{"key":"2794_CR27","doi-asserted-by":"publisher","first-page":"8871","DOI":"10.1016\/j.eswa.2010.06.009","volume":"37","author":"CH Lee","year":"2010","unstructured":"Lee CH, Chang FK (2010) Fractional-order PID controller optimization via improved electromagnetism-like algorithm. Expert Syst Appl 37:8871\u20138878. doi:\n                    10.1016\/j.eswa.2010.06.009","journal-title":"Expert Syst Appl"},{"key":"2794_CR28","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/0031-3203(93)90115-D","volume":"26","author":"CH Li","year":"1993","unstructured":"Li CH, Lee CK (1993) Minimum cross entropy thresholding. Pattern Recognit 26:617\u2013625. doi:\n                    10.1016\/0031-3203(93)90115-D","journal-title":"Pattern Recognit"},{"key":"2794_CR29","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1007\/s00500-014-1345-2","volume":"19","author":"Y Liu","year":"2015","unstructured":"Liu Y, Mu C, Kou W, Liu J (2015) Modified particle swarm optimization-based multilevel thresholding for image segmentation. Soft Comput 19:1311\u20131327. doi:\n                    10.1007\/s00500-014-1345-2","journal-title":"Soft Comput"},{"key":"2794_CR30","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"GVV Loganathan","year":"2001","unstructured":"Loganathan GVV, Geem ZW, Kim JH, Loganathan GVV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76:60\u201368. doi:\n                    10.1177\/003754970107600201","journal-title":"Simulation"},{"key":"2794_CR31","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.knosys.2009.06.002","volume":"23","author":"B Naderi","year":"2010","unstructured":"Naderi B, Tavakkoli-Moghaddam R, Khalili M (2010) Electromagnetism-like mechanism and simulated annealing algorithms for flowshop scheduling problems minimizing the total weighted tardiness and makespan. Knowl Based Syst 23:77\u201385. doi:\n                    10.1016\/j.knosys.2009.06.002","journal-title":"Knowl Based Syst"},{"key":"2794_CR32","doi-asserted-by":"publisher","unstructured":"Oliva D, Hinojosa S, Cuevas E et al (2017) Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Syst Appl. doi:\n                    10.1016\/j.eswa.2017.02.042","DOI":"10.1016\/j.eswa.2017.02.042"},{"key":"2794_CR33","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/649802","author":"OO Olugbara","year":"2015","unstructured":"Olugbara OO, Adetiba E, Oyewole SA (2015) Pixel intensity clustering algorithm for multilevel image segmentation. Math Probl Eng. doi:\n                    10.1155\/2015\/649802","journal-title":"Math Probl Eng"},{"key":"2794_CR34","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9:62\u201366. doi:\n                    10.1109\/TSMC.1979.4310076","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"2794_CR35","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/0031-3203(95)00111-5","volume":"29","author":"N Pal","year":"1996","unstructured":"Pal N (1996) On minimum cross-entropy thresholding. Pattern Recognit 29:575\u2013580. doi:\n                    10.1016\/0031-3203(95)00111-5","journal-title":"Pattern Recognit"},{"key":"2794_CR36","doi-asserted-by":"publisher","first-page":"1932","DOI":"10.1080\/00207160902971533","volume":"86","author":"AMAC Rocha","year":"2009","unstructured":"Rocha AMAC, Fernandes EMGP (2009a) Hybridizing the electromagnetism-like algorithm with descent search for solving engineering design problems. Int J Comput Math 86:1932\u20131946. doi:\n                    10.1080\/00207160902971533","journal-title":"Int J Comput Math"},{"key":"2794_CR37","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1080\/10556780802525356","volume":"24","author":"AMAC Rocha","year":"2009","unstructured":"Rocha AMAC, Fernandes EMGP (2009b) Modified movement force vector in an electromagnetism-like mechanism for global optimization. Optim Methods Softw 24:253\u2013270","journal-title":"Optim Methods Softw"},{"key":"2794_CR38","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.patrec.2014.11.009","volume":"54","author":"S Sarkar","year":"2015","unstructured":"Sarkar S, Das S, Chaudhuri SS (2015) A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution. Pattern Recognit Lett 54:27\u201335. doi:\n                    10.1016\/j.patrec.2014.11.009","journal-title":"Pattern Recognit Lett"},{"key":"2794_CR39","doi-asserted-by":"crossref","unstructured":"Sarkar S, Patra GR, Das S (2011) A differential evolution based approach for multilevel image segmentation using minimum cross entropy thresholding. In: Swarm, evolutionary, and memetic computing, pp 51\u201358","DOI":"10.1007\/978-3-642-27172-4_7"},{"key":"2794_CR40","doi-asserted-by":"publisher","first-page":"15549","DOI":"10.1016\/j.eswa.2011.06.004","volume":"38","author":"PD Sathya","year":"2011","unstructured":"Sathya PD, Kayalvizhi R (2011) Optimal multilevel thresholding using bacterial foraging algorithm. Expert Syst Appl 38:15549\u201315564. doi:\n                    10.1016\/j.eswa.2011.06.004","journal-title":"Expert Syst Appl"},{"key":"2794_CR41","doi-asserted-by":"publisher","unstructured":"Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim. doi:\n                    10.1023\/A:1008202821328","DOI":"10.1023\/A:1008202821328"},{"key":"2794_CR42","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1016\/j.knosys.2011.02.013","volume":"24","author":"K Tang","year":"2011","unstructured":"Tang K, Yuan X, Sun T et al (2011) An improved scheme for minimum cross entropy threshold selection based on genetic algorithm. Knowl Based Syst 24:1131\u20131138. doi:\n                    10.1016\/j.knosys.2011.02.013","journal-title":"Knowl Based Syst"},{"key":"2794_CR43","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13:600\u2013612. doi:\n                    10.1109\/TIP.2003.819861","journal-title":"IEEE Trans Image Process"},{"key":"2794_CR44","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1080\/10170660409509387","volume":"21","author":"P Wu","year":"2004","unstructured":"Wu P, Yang W-H, Wei N-C (2004) An electromagnetism algorithm of neural network analysis-an application to textile retail operation. J Chin Inst Ind Eng 21:59\u201367. doi:\n                    10.1080\/10170660409509387","journal-title":"J Chin Inst Ind Eng"},{"key":"2794_CR45","doi-asserted-by":"crossref","unstructured":"Yang X-S (2014) Cuckoo search and firefly algorithm: overview and analysis. In: Yang X-S (ed) Cuckoo search and firefly algorithm. Springer, Berlin, Heidelberg, pp 1\u201326","DOI":"10.1007\/978-3-319-02141-6_1"},{"key":"2794_CR46","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1016\/j.amc.2006.06.057","volume":"184","author":"P-Y Yin","year":"2007","unstructured":"Yin P-Y (2007) Multilevel minimum cross entropy threshold selection based on particle swarm optimization. Appl Math Comput 184:503\u2013513. doi:\n                    10.1016\/j.amc.2006.06.057","journal-title":"Appl Math Comput"},{"key":"2794_CR47","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.asoc.2015.02.014","volume":"30","author":"JJQ Yu","year":"2015","unstructured":"Yu JJQ, Li VOK (2015) A social spider algorithm for global optimization. Appl Soft Comput 30:614\u2013627. doi:\n                    10.1016\/j.asoc.2015.02.014","journal-title":"Appl Soft Comput"},{"key":"2794_CR48","doi-asserted-by":"publisher","first-page":"3427","DOI":"10.1016\/j.eswa.2009.10.005","volume":"37","author":"A Yurtkuran","year":"2010","unstructured":"Yurtkuran A, Emel E (2010) A new hybrid electromagnetism-like algorithm for capacitated vehicle routing problems. Expert Syst Appl 37:3427\u20133433. doi:\n                    10.1016\/j.eswa.2009.10.005","journal-title":"Expert Syst Appl"},{"key":"2794_CR49","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","volume":"20","author":"L Zhang","year":"2011","unstructured":"Zhang L, Zhang L, XuanqinMou DZ (2011) FSIM: a feature similarity index for image. IEEE Trans Image Process 20:2378\u20132386","journal-title":"IEEE Trans Image Process"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-017-2794-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2794-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2794-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T03:18:36Z","timestamp":1548040716000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-017-2794-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,30]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["2794"],"URL":"https:\/\/doi.org\/10.1007\/s00500-017-2794-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,30]]},"assertion":[{"value":"30 August 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"None of the authors of this paper has a financial or personal relationship with other people or organizations that could inappropriately influence or bias the content of the paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical standards"}},{"value":"It is to specifically state that \u201cNo Competing interests are at stake and there is No Conflict of Interest\u201d with other people or organizations that could inappropriately influence or bias the content of the paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights"}}]}}