{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T06:26:27Z","timestamp":1763619987887,"version":"3.45.0"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:00:00Z","timestamp":1761609600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:00:00Z","timestamp":1761609600000},"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":["J Vis"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s12650-025-01088-z","type":"journal-article","created":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T05:25:24Z","timestamp":1761629124000},"page":"1169-1189","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SeRViz: a visual analytics system for the analysis of sequential rules and its application to airport ground handling operations"],"prefix":"10.1007","volume":"28","author":[{"given":"Asal","family":"Jalilvand","sequence":"first","affiliation":[]},{"given":"Leonardo","family":"Milhomem","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2316-760X","authenticated-orcid":false,"given":"Fernando V.","family":"Paulovich","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,28]]},"reference":[{"volume-title":"Frequent Pattern Mining","year":"2014","key":"1088_CR1","unstructured":"Aggarwal CC, Han J (eds) (2014) Frequent Pattern Mining. Springer, Cham"},{"issue":"1","key":"1088_CR2","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1111\/cgf.12722","volume":"35","author":"B Alsallakh","year":"2016","unstructured":"Alsallakh B, Micallef L, Aigner W, Hauser H, Miksch S, Rodgers P (2016) The state-of-the-art of set visualization. Comput Graphics Forum 35(1):234\u2013260","journal-title":"Comput Graphics Forum"},{"issue":"5","key":"1088_CR3","doi-asserted-by":"publisher","first-page":"38","DOI":"10.9781\/ijimai.2018.09.002","volume":"5","author":"FZ Benhacine","year":"2019","unstructured":"Benhacine FZ, Atmani B, Abdelouhab FZ (2019) Contribution to the association rules visualization for decision support: a combined use between boolean modeling and the colored 2d matrix. IJIMAI 5(5):38\u201347","journal-title":"IJIMAI"},{"issue":"12","key":"1088_CR4","doi-asserted-by":"publisher","first-page":"2301","DOI":"10.1109\/TVCG.2011.185","volume":"17","author":"M Bostock","year":"2011","unstructured":"Bostock M, Ogievetsky V, Heer J (2011) $$\\text{ D}^3$$ data-driven documents. IEEE Trans Visual Comput Graphics 17(12):2301\u20132309","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"1088_CR5","unstructured":"Brooke J (1996) Sus: a \u201cquick and dirty\u2019usability. Usability evaluation in industry 189"},{"issue":"1","key":"1088_CR6","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1109\/TVCG.2017.2745278","volume":"24","author":"BC Cappers","year":"2017","unstructured":"Cappers BC, Wijk JJ (2017) Exploring multivariate event sequences using rules, aggregations, and selections. IEEE Trans Visual Comput Graphics 24(1):532\u2013541","journal-title":"IEEE Trans Visual Comput Graphics"},{"issue":"1","key":"1088_CR7","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/TVCG.2017.2745083","volume":"24","author":"Y Chen","year":"2017","unstructured":"Chen Y, Xu P, Ren L (2017) Sequence synopsis: optimize visual summary of temporal event data. IEEE Trans Visual Comput Graphics 24(1):45\u201355","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"1088_CR8","doi-asserted-by":"crossref","unstructured":"D\u2019Ambrosio A, Pecoraro M (2011) Multidimensional scaling as visualization tool of web sequence rules. In: Classification and Multivariate Analysis for Complex Data Structures, pp. 309\u2013316. Springer, Heidelberg","DOI":"10.1007\/978-3-642-13312-1_32"},{"key":"1088_CR9","first-page":"2349","volume":"14","author":"J Dem\u0161ar","year":"2013","unstructured":"Dem\u0161ar J, Curk T, Erjavec A, Gorup Ho\u010devar T, Milutinovi\u010d M, Mo\u017eina M, Polajnar M, Toplak M, Stari\u010d A, \u0160tajdohar M, Umek L, \u017dagar L, \u017dbontar J, \u017ditnik M, Zupan B (2013) Orange: data mining toolbox in python. J Mach Learn Res 14:2349\u20132353","journal-title":"J Mach Learn Res"},{"key":"1088_CR10","unstructured":"Eurocontrol ATM Lexicon https:\/\/ext.eurocontrol.int\/lexicon\/index.php\/Main_Page. Accessed: 2021-04-11 (2021)"},{"key":"1088_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jairtraman.2021.102021","volume":"92","author":"J Evler","year":"2021","unstructured":"Evler J, Asadi E, Preis H, Fricke H (2021) Airline ground operations: optimal schedule recovery with uncertain arrival times. J Air Transp Manag 92:102021","journal-title":"J Air Transp Manag"},{"issue":"1","key":"1088_CR12","first-page":"54","volume":"1","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger P, Lin JC-W, Kiran RU, Koh YS, Thomas R (2017) A survey of sequential pattern mining. Data Sci Pattern Recogn 1(1):54\u201377","journal-title":"Data Sci Pattern Recogn"},{"issue":"4","key":"1088_CR13","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1002\/widm.1207","volume":"7","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger P, Lin JC-W, Vo B, Chi TT, Zhang J, Le HB (2017) A survey of itemset mining. Wiley Interdiscip Rev Data Min Knowl Discov 7(4):1207","journal-title":"Wiley Interdiscip Rev Data Min Knowl Discov"},{"key":"1088_CR14","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Gueniche T, Tseng VS (2012) Using partially-ordered sequential rules to generate more accurate sequence prediction. In: International Conference on Advanced Data Mining and Applications, 431\u2013442. Springer","DOI":"10.1007\/978-3-642-35527-1_36"},{"key":"1088_CR15","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Lin JC-W, Gomariz A, Gueniche T, Soltani A, Deng Z, Lam HT (2016) The spmf open-source data mining library version 2. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 36\u201340. Springer","DOI":"10.1007\/978-3-319-46131-1_8"},{"key":"1088_CR16","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Wu C-W, Tseng VS, Nkambou R (2012) Mining sequential rules common to several sequences with the window size constraint. In: Canadian Conference on Artificial Intelligence, pp. 299\u2013304. Springer","DOI":"10.1007\/978-3-642-30353-1_27"},{"key":"1088_CR17","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ins.2020.02.006","volume":"520","author":"M Francia","year":"2020","unstructured":"Francia M, Golfarelli M, Rizzi S (2020) Summarization and visualization of multi-level and multi-dimensional itemsets. Inf Sci 520:63\u201385","journal-title":"Inf Sci"},{"key":"1088_CR18","unstructured":"Fricke H, Schultz M (2009) Delay impacts onto turnaround performance. In: ATM Seminar, 1\u201310"},{"issue":"1","key":"1088_CR19","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s00607-013-0282-8","volume":"96","author":"E Glatz","year":"2014","unstructured":"Glatz E, Mavromatidis S, Ager B, Dimitropoulos X (2014) Visualizing big network traffic data using frequent pattern mining and hypergraphs. Computing 96(1):27\u201338","journal-title":"Computing"},{"key":"1088_CR20","volume-title":"Flask Web Development: Developing Web Applications with Python","author":"M Grinberg","year":"2018","unstructured":"Grinberg M (2018) Flask Web Development: Developing Web Applications with Python. O\u2019Reilly Media Inc, Sebastopol, CA"},{"issue":"12","key":"1088_CR21","doi-asserted-by":"publisher","first-page":"5091","DOI":"10.1109\/TVCG.2021.3100413","volume":"28","author":"Y Guo","year":"2022","unstructured":"Guo Y, Guo S, Jin Z, Kaul S, Gotz D, Cao N (2022) Survey on visual analysis of event sequence data. IEEE Trans Visual Comput Graphics 28(12):5091\u20135112","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"1088_CR22","unstructured":"Hagberg A, Swart P, S\u00a0Chult D (2008) Exploring network structure, dynamics, and function using networkx. Technical report, Los Alamos National Lab.(LANL), Los Alamos, NM (United States)"},{"key":"1088_CR23","doi-asserted-by":"crossref","unstructured":"Hahsler M (2017) arulesviz: interactive visualization of association rules with r. R J 9(2)","DOI":"10.32614\/RJ-2017-047"},{"issue":"3","key":"1088_CR24","first-page":"317","volume":"87","author":"M Hahsler","year":"2017","unstructured":"Hahsler M, Karpienko R (2017) Visualizing association rules in hierarchical groups. J Bus Econ 87(3):317\u2013335","journal-title":"J Bus Econ"},{"issue":"1","key":"1088_CR25","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The weka data mining software: an update. ACM SIGKDD Explorations Newsl 11(1):10\u201318","journal-title":"ACM SIGKDD Explorations Newsl"},{"key":"1088_CR26","volume-title":"Analyzing Social Media Networks with NodeXL: Insights from a Connected World","author":"D Hansen","year":"2010","unstructured":"Hansen D, Shneiderman B, Smith MA (2010) Analyzing Social Media Networks with NodeXL: Insights from a Connected World. Morgan Kaufmann, Burlington, MA"},{"key":"1088_CR27","doi-asserted-by":"crossref","unstructured":"Hart SG (2006) Nasa-task load index (nasa-tlx); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 50, 904\u2013908. Sage publications Sage CA: Los Angeles, CA","DOI":"10.1177\/154193120605000909"},{"issue":"2","key":"1088_CR28","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s40745-017-0122-3","volume":"5","author":"H Hassani","year":"2018","unstructured":"Hassani H, Huang X, Ghodsi M (2018) Big data and causality. Annals Data Sci 5(2):133\u2013156","journal-title":"Annals Data Sci"},{"issue":"2","key":"1088_CR29","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/BF01898350","volume":"1","author":"A Inselberg","year":"1985","unstructured":"Inselberg A (1985) The plane with parallel coordinates. Vis Comput 1(2):69\u201391","journal-title":"Vis Comput"},{"key":"1088_CR30","unstructured":"International Business Machines Corporation (2021) IBM sequence rules view. International Business Machines Corporation. Accessed: 2021-04-11"},{"key":"1088_CR31","doi-asserted-by":"crossref","unstructured":"Kabongo PC, Ramos TMF, Leite AF, Ralha CG, Weigang L (2016) A multi-agent planning model for airport ground handling management. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2354\u20132359. IEEE","DOI":"10.1109\/ITSC.2016.7795935"},{"key":"1088_CR32","doi-asserted-by":"crossref","unstructured":"Kakar T, Qin X, Rundensteiner EA, Harrison L, Sahoo SK, De S (2019) Diva: Exploration and validation of hypothesized drug-drug interactions. In: Computer Graphics Forum, 38, 95\u2013106. Wiley Online Library","DOI":"10.1111\/cgf.13674"},{"issue":"6","key":"1088_CR33","doi-asserted-by":"publisher","first-page":"540","DOI":"10.4097\/kjae.2015.68.6.540","volume":"68","author":"TK Kim","year":"2015","unstructured":"Kim TK (2015) T test as a parametric statistic. Korean J Anesthesiol 68(6):540","journal-title":"Korean J Anesthesiol"},{"issue":"2","key":"1088_CR34","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/1809400.1809407","volume":"11","author":"CK-S Leung","year":"2010","unstructured":"Leung CK-S, Carmichael CL (2010) FpVAT: a visual analytic tool for supporting frequent pattern mining. ACM SIGKDD Explorations Newsl 11(2):39\u201348","journal-title":"ACM SIGKDD Explorations Newsl"},{"issue":"2","key":"1088_CR35","first-page":"1","volume":"7","author":"J Li","year":"2015","unstructured":"Li J, Le TD, Liu L, Liu J, Jin Z, Sun B, Ma S (2015) From observational studies to causal rule mining. ACM Transact Intell Syst Technol (TIST) 7(2):1\u201327","journal-title":"ACM Transact Intell Syst Technol (TIST)"},{"issue":"1","key":"1088_CR36","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s12650-019-00609-x","volume":"23","author":"C Li","year":"2020","unstructured":"Li C, Dong X, Liu W, Sheng S, Qian A (2020) SSRDVis: interactive visualization for event sequences summarization and rare detection. J Vis 23(1):171\u2013184","journal-title":"J Vis"},{"issue":"1","key":"1088_CR37","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TVCG.2015.2467431","volume":"22","author":"X Liu","year":"2015","unstructured":"Liu X, Shen H-W (2015) Association analysis for visual exploration of multivariate scientific data sets. IEEE Trans Visual Comput Graphics 22(1):955\u2013964","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"1088_CR38","doi-asserted-by":"crossref","unstructured":"Liu G, Suchitra A, Zhang H, Feng M, Ng S-K, Wong L (2012) Assocexplorer: an association rule visualization system for exploratory data analysis. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1536\u20131539","DOI":"10.1145\/2339530.2339774"},{"issue":"12","key":"1088_CR39","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1109\/TVCG.2013.200","volume":"19","author":"M Monroe","year":"2013","unstructured":"Monroe M, Lan R, Lee H, Plaisant C, Shneiderman B (2013) Temporal event sequence simplification. IEEE Trans Visual Comput Graphics 19(12):2227\u20132236","journal-title":"IEEE Trans Visual Comput Graphics"},{"issue":"3","key":"1088_CR40","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s41060-018-0133-y","volume":"7","author":"A Mukherji","year":"2019","unstructured":"Mukherji A, Lin X, Toto E, Botaish CR, Whitehouse J, Rundensteiner EA, Ward MO (2019) Fire: a two-level interactive visualization for deep exploration of association rules. Int J Data Sci Analyt 7(3):201\u2013226","journal-title":"Int J Data Sci Analyt"},{"issue":"2","key":"1088_CR41","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1080\/21680566.2017.1325784","volume":"6","author":"J Nosedal Sanchez","year":"2018","unstructured":"Nosedal Sanchez J, Piera Eroles MA (2018) Causal analysis of aircraft turnaround time for process reliability evaluation and disruptions\u2019 identification. Transportmetrica B Trans Dynam 6(2):115\u2013128","journal-title":"Transportmetrica B Trans Dynam"},{"issue":"04","key":"1088_CR42","doi-asserted-by":"publisher","first-page":"1950020","DOI":"10.1142\/S0217595919500209","volume":"36","author":"S Padr\u00f3n","year":"2019","unstructured":"Padr\u00f3n S, Guimarans D (2019) An improved method for scheduling aircraft ground handling operations from a global perspective. Asia-Pacific J Oper Res 36(04):1950020","journal-title":"Asia-Pacific J Oper Res"},{"issue":"1","key":"1088_CR43","first-page":"107","volume":"47","author":"EB Peterson","year":"2013","unstructured":"Peterson EB, Neels K, Barczi N, Graham T (2013) The economic cost of airline flight delay. J Trans] Econom Pol (JTEP) 47(1):107\u2013121","journal-title":"J Trans] Econom Pol (JTEP)"},{"issue":"2","key":"1088_CR44","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.cstp.2020.03.007","volume":"8","author":"MN Postorino","year":"2020","unstructured":"Postorino MN, Mantecchini L, Malandri C, Paganelli F (2020) A methodological framework to evaluate the impact of disruptions on airport turnaround operations: a case study. Case Stud Trans Pol 8(2):429\u2013439","journal-title":"Case Stud Trans Pol"},{"key":"1088_CR45","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.paerosci.2017.05.002","volume":"92","author":"M Schmidt","year":"2017","unstructured":"Schmidt M (2017) A review of aircraft turnaround operations and simulations. Prog Aerosp Sci 92:25\u201338","journal-title":"Prog Aerosp Sci"},{"key":"1088_CR46","doi-asserted-by":"crossref","unstructured":"Shneiderman, B.: The eyes have it: A task by data type taxonomy for information visualizations. In: The Craft of Information Visualization, pp. 364\u2013371. Elsevier, San Francisco (2003)","DOI":"10.1016\/B978-155860915-0\/50046-9"},{"key":"1088_CR47","doi-asserted-by":"crossref","unstructured":"Shrestha A, Zikos D, Fegaras L (2020) An annotated association mining approach for extracting and visualizing interesting clinical events. Int J Med Informat, 104366","DOI":"10.1016\/j.ijmedinf.2020.104366"},{"issue":"3","key":"1088_CR48","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/s00357-017-9239-5","volume":"34","author":"R Siciliano","year":"2017","unstructured":"Siciliano R, D\u2019Ambrosio A, Aria M, Amodio S (2017) Analysis of web visit histories, Part II: predicting navigation by nested stump regression trees. J Classif 34(3):473\u2013493","journal-title":"J Classif"},{"key":"1088_CR49","unstructured":"Sng ZY, Hansman RJ (2019) A petri net framework for the representation and analysis of aircraft turnaround operations. Master\u2019s thesis, Massachusetts Inst. Technol., Cambridge, MA, USA"},{"issue":"1","key":"1088_CR50","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/MCG.2006.5","volume":"26","author":"JJ Thomas","year":"2006","unstructured":"Thomas JJ, Cook KA (2006) A visual analytics agenda. IEEE Comput Graphics Appl 26(1):10\u201313","journal-title":"IEEE Comput Graphics Appl"},{"key":"1088_CR51","volume-title":"Python 3 Reference Manual","author":"G Van Rossum","year":"2009","unstructured":"Van Rossum G, Drake FL (2009) Python 3 Reference Manual. CreateSpace, Scotts Valley, CA"},{"key":"1088_CR52","doi-asserted-by":"crossref","unstructured":"Varu R, Christino L, Paulovich FV (2022) Armatrix: an interactive item-to-rule matrix for association rules visual analytics. Electronics 11(9)","DOI":"10.3390\/electronics11091344"},{"issue":"7","key":"1088_CR53","doi-asserted-by":"publisher","first-page":"266","DOI":"10.3390\/ijgi7070266","volume":"7","author":"F Wang","year":"2018","unstructured":"Wang F, Li W, Wang S, Johnson CR (2018) Association rules-based multivariate analysis and visualization of spatiotemporal climate data. ISPRS Int J Geo Inf 7(7):266","journal-title":"ISPRS Int J Geo Inf"},{"issue":"1","key":"1088_CR54","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1109\/JIOT.2020.3004874","volume":"8","author":"S Wang","year":"2020","unstructured":"Wang S, Che Y, Zhao H, Lim A (2020) Accurate tracking, collision detection, and optimal scheduling of airport ground support equipment. IEEE Internet Things J 8(1):572\u2013584","journal-title":"IEEE Internet Things J"},{"key":"1088_CR55","doi-asserted-by":"crossref","unstructured":"Wei J, Shen Z, Sundaresan N, Ma K-L (2012) Visual cluster exploration of web clickstream data. In: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 3\u201312. IEEE","DOI":"10.1109\/VAST.2012.6400494"},{"issue":"6","key":"1088_CR56","doi-asserted-by":"publisher","first-page":"3387","DOI":"10.1109\/TITS.2020.2983226","volume":"22","author":"Y Wu","year":"2021","unstructured":"Wu Y, Weng D, Deng Z, Bao J, Xu M, Wang Z, Zheng Y, Ding Z, Chen W (2021) Towards better detection and analysis of massive spatiotemporal co-occurrence patterns. IEEE Trans Intell Transp Syst 22(6):3387\u20133402","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"1","key":"1088_CR57","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1109\/TVCG.2021.3114832","volume":"28","author":"J Wu","year":"2022","unstructured":"Wu J, Liu D, Guo Z, Xu Q, Wu Y (2022) Tacticflow: visual analytics of ever-changing tactics in racket sports. IEEE Trans Visual Comput Graphics 28(1):835\u2013845","journal-title":"IEEE Trans Visual Comput Graphics"},{"issue":"1","key":"1088_CR58","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.visinf.2019.03.006","volume":"3","author":"C Zhang","year":"2019","unstructured":"Zhang C, Chen Y, Yang J, Yin Z (2019) An association rule based approach to reducing visual clutter in parallel sets. Vis Informat 3(1):48\u201357","journal-title":"Vis Informat"},{"key":"1088_CR59","doi-asserted-by":"crossref","unstructured":"Zhang H, Chen J, Qiang Y, Zhao J, Xu J, Fan X, Yang Y, Zhang X (2020) DART: a visual analytics system for understanding dynamic association rule mining. The Visual Computer, 1\u201317","DOI":"10.1007\/s00371-020-01803-x"},{"issue":"01","key":"1088_CR60","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1109\/TVCG.2024.3456510","volume":"31","author":"KT Zinat","year":"2025","unstructured":"Zinat KT, Sakhamuri SN, Chen AS, Liu Z (2025) A multi-level task framework for event sequence analysis. IEEE Transact Visualization Comput Graphics 31(01):842\u2013852","journal-title":"IEEE Transact Visualization Comput Graphics"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-025-01088-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-025-01088-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-025-01088-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T05:50:13Z","timestamp":1763617813000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-025-01088-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,28]]},"references-count":60,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["1088"],"URL":"https:\/\/doi.org\/10.1007\/s12650-025-01088-z","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"type":"print","value":"1343-8875"},{"type":"electronic","value":"1875-8975"}],"subject":[],"published":{"date-parts":[[2025,10,28]]},"assertion":[{"value":"13 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}