{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T11:12:17Z","timestamp":1772017937797,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T00:00:00Z","timestamp":1615939200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T00:00:00Z","timestamp":1615939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2017MC063"],"award-info":[{"award-number":["ZR2017MC063"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014103","name":"Key Technology Research and Development Program of Shandong","doi-asserted-by":"publisher","award":["2019GNC106139"],"award-info":[{"award-number":["2019GNC106139"]}],"id":[{"id":"10.13039\/100014103","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11042-021-10777-4","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T23:02:25Z","timestamp":1616022145000},"page":"21579-21594","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Nondestructive prediction model of internal hardness attribute of fig fruit using NIR spectroscopy and RF"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4734-8894","authenticated-orcid":false,"given":"Rui","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing-yu","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duo","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,17]]},"reference":[{"issue":"16","key":"10777_CR1","doi-asserted-by":"publisher","first-page":"12381","DOI":"10.1007\/s00521-020-04839-1","volume":"32","author":"LM Abualigah","year":"2020","unstructured":"Abualigah LM (2020) Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications. Neural Comput Appl 32(16):12381\u201312401. https:\/\/doi.org\/10.1007\/s00521-020-04839-1","journal-title":"Neural Comput Appl"},{"issue":"11","key":"10777_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11227-017-2046-2","volume":"73","author":"LM Abualigah","year":"2017","unstructured":"Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):1\u201323. https:\/\/doi.org\/10.1007\/s11227-017-2046-2","journal-title":"J Supercomput"},{"key":"10777_CR3","doi-asserted-by":"publisher","first-page":"102795","DOI":"10.1016\/j.jcs.2019.102795","volume":"89","author":"MGG Awanthi","year":"2019","unstructured":"Awanthi MGG, Jinendra BMS, Navaratne SB, Navaratne CM (2019) Adaptation of visible and short wave Near Infrared (VIS-SW-NIR) common PLS model for quantifying paddy hardness. J Cereal Sci 89:102795. https:\/\/doi.org\/10.1016\/j.jcs.2019.102795","journal-title":"J Cereal Sci"},{"key":"10777_CR4","doi-asserted-by":"publisher","unstructured":"Begum R, Yusof YA, Aziz MG, Uddin MB (2017) Structural and functional properties of pectin extracted from jackfruit (Artocarpus heterophyllus) waste: Effects of drying. Int J Food Prop 190\u2013201. https:\/\/doi.org\/10.1080\/10942912.2017.1295054","DOI":"10.1080\/10942912.2017.1295054"},{"key":"10777_CR5","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.sna.2019.07.027","volume":"296","author":"A Berardinelli","year":"2019","unstructured":"Berardinelli A, Benelli A, Tartagni M, Ragni L (2019) Kiwifruit flesh firmness determination by a NIR sensitive device and image multivariate data analyses. Sensors Actuators A: Phys 296:265\u2013271. https:\/\/doi.org\/10.1016\/j.sna.2019.07.027","journal-title":"Sensors Actuators A: Phys"},{"issue":"3","key":"10777_CR6","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.scienta.2013.11.023","volume":"165","author":"MR Conesa","year":"2014","unstructured":"Conesa MR, Garc\u00eda-Salinas MD, Rosa JMDL, Fern\u00e1ndez-Trujillo JP, Domingo R, P\u00e9rez-Pastor A (2014) Effects of deficit irrigation applied during fruit growth period of late mandarin trees on harvest quality, cold storage and subsequent shelf-life. Sci Hort 165(3):344\u2013351. https:\/\/doi.org\/10.1016\/j.scienta.2013.11.023","journal-title":"Sci Hort"},{"issue":"4","key":"10777_CR7","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1111\/jfbc.12241","volume":"40","author":"A Debib","year":"2016","unstructured":"Debib A, Due\u00f1as M, Boumediene M, Mothana RA, Latifa A, Tir-Touil MA (2016) Synergetic hepatoprotective effect of phenolic fractions obtained from ficus carica dried fruit and extra virgin olive oil on CCL4-induced oxidative stress and hepatotoxicity in rats. J Food Biochem 40(4):507\u2013516. https:\/\/doi.org\/10.1111\/jfbc.12241","journal-title":"J Food Biochem"},{"key":"10777_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.nfs.2018.04.002","volume":"12","author":"S Ghnimi","year":"2018","unstructured":"Ghnimi S, Al-Shibli M, Al-Yammahi HR, Al-Dhaheri A, Al-Jaberi F, Jobe B, Kamal-Eldin A (2018) Reducing sugars, organic acids, size, color, and texture of 21 Emirati date fruit varieties (Phoenix dactylifera, L.). NFS J 12:1\u201310. https:\/\/doi.org\/10.1016\/j.nfs.2018.04.002","journal-title":"NFS J"},{"key":"10777_CR9","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.jfoodeng.2017.11.030","volume":"222","author":"YP Huang","year":"2018","unstructured":"Huang YP, Lu RF, Chen KJ (2018) Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy. J Food Eng 222:185\u2013198. https:\/\/doi.org\/10.1016\/j.jfoodeng.2017.11.030","journal-title":"J Food Eng"},{"key":"10777_CR10","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.jfoodeng.2019.07.004","volume":"263","author":"G Ib\u00e1\u00f1ez","year":"2019","unstructured":"Ib\u00e1\u00f1ez G, Cebolla-Cornejo J, Mart\u00ed R, Rosell\u00f3 S, Valc\u00e1rcel M (2019) Non-destructive determination of taste-related compounds in tomato using NIR spectra. J Food Eng 263:237\u2013242. https:\/\/doi.org\/10.1016\/j.jfoodeng.2019.07.004","journal-title":"J Food Eng"},{"key":"10777_CR11","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.scienta.2016.06.038","volume":"209","author":"Y Kashash","year":"2016","unstructured":"Kashash Y, Mayuoni-Kirshenbaum L, Goldenberg L, Choi HJ, Porat R (2016) Effects of harvest date and low-temperature conditioning on chilling tolerance of \u201cWonderful\u201d pomegranate fruit. Sci Hort 209:286\u2013292. https:\/\/doi.org\/10.1016\/j.scienta.2016.06.038","journal-title":"Sci Hort"},{"issue":"2","key":"10777_CR12","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.jep.2008.06.025","volume":"119","author":"EP Lansky","year":"2015","unstructured":"Lansky EP, Paavilainen HM, Pawlus AD, Newman RA (2015) Ficus spp. (fig): Ethnobotany and potential as anticancer and anti-inflammatory agents. J Ethnopharmacol 119(2):195\u2013213. https:\/\/doi.org\/10.1016\/j.jep.2008.06.025","journal-title":"J Ethnopharmacol"},{"issue":"2","key":"10777_CR13","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.jfoodeng.2012.11.007","volume":"116","author":"JB Li","year":"2013","unstructured":"Li JB, Huang WQ, Zhao CJ, Zhang BH (2013) A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis\/NIR spectroscopy. J Food Eng 116(2):324\u2013332. https:\/\/doi.org\/10.1016\/j.jfoodeng.2012.11.007","journal-title":"J Food Eng"},{"issue":"1","key":"10777_CR14","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/s13197-013-0990-2","volume":"52","author":"GH Li","year":"2015","unstructured":"Li GH, Ren YM, Ren XL, Zhang XR (2015) Non-destructive measurement of fracturability and chewiness of apple by FT-NIRS. J Food Sci Technol 52(1):258\u2013266. https:\/\/doi.org\/10.1007\/s13197-013-0990-2","journal-title":"J Food Sci Technol"},{"key":"10777_CR15","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.aiia.2019.07.002","volume":"2","author":"S Li","year":"2019","unstructured":"Li S, Luo H, Hu M, Zhang M, Feng J, Liu Y, Dong Q, Liu B (2019) Optical non-destructive techniques for small berry fruits: A review. Artif Intell Agric 2:85\u201398. https:\/\/doi.org\/10.1016\/j.aiia.2019.07.002","journal-title":"Artif Intell Agric"},{"key":"10777_CR16","doi-asserted-by":"publisher","first-page":"103154","DOI":"10.1016\/j.infrared.2019.103154","volume":"104","author":"JB Li","year":"2019","unstructured":"Li JB, Zhang HL, Zhan BS, Zhang YF, Li RL, Li JB (2019) Nondestructive firmness measurement of the multiple cultivars of pears by Vis-NIR spectroscopy coupled with multivariate calibration analysis and MC-UVE-SPA method. Infrared Phys Technol 104:103154. https:\/\/doi.org\/10.1016\/j.infrared.2019.103154","journal-title":"Infrared Phys Technol"},{"key":"10777_CR17","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.biosystemseng.2019.11.011","volume":"189","author":"JFI Nturambirwe","year":"2020","unstructured":"Nturambirwe JFI, Opara UL (2020) Machine learning applications to non-destructive defect detection in horticultural products. Biosys Eng 189:60\u201383. https:\/\/doi.org\/10.1016\/j.biosystemseng.2019.11.011","journal-title":"Biosys Eng"},{"issue":"2","key":"10777_CR18","first-page":"536","volume":"6","author":"R Patil","year":"2011","unstructured":"Patil R, Joshi GD, Haldankar PM, More M (2011) Estimation of pectin content in jackfruit (Artocarpus heterophyllus). Asian J Holtic 6(2):536\u2013537","journal-title":"Asian J Holtic"},{"key":"10777_CR19","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1016\/j.procs.2018.04.078","volume":"130","author":"M Paulsen","year":"2018","unstructured":"Paulsen M, Rasmussen TK, Nielsen OA (2018) Output variability caused by random seeds in a multi-agent transport simulation model. Procedia Comput Sci 130:850\u2013857. https:\/\/doi.org\/10.1016\/j.procs.2018.04.078","journal-title":"Procedia Comput Sci"},{"key":"10777_CR20","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.jtcme.2018.01.007","volume":"9","author":"K Raafat","year":"2019","unstructured":"Raafat K, Wurglics M (2019) Phytochemical analysis of Ficus carica L. active compounds possessing anticonvulsant activity. J Tradit Complement Med 9:263\u2013270. https:\/\/doi.org\/10.1016\/j.jtcme.2018.01.007","journal-title":"J Tradit Complement Med"},{"key":"10777_CR21","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s11947-018-2226-y","volume":"12","author":"MC Reyes-Avalos","year":"2019","unstructured":"Reyes-Avalos MC, Minjares-Fuentes R, Femenia A, Contreras-Esquivel JC, Quintero-Ramos A, Esparza-Rivera JR, Meza-Vel\u00e1zquez JA (2019) Application of an alginate\u2013chitosan edible film on figs (Ficus carica): Effect on bioactive compounds and antioxidant capacity. Food Bioprocess Technol 12:499\u2013511. https:\/\/doi.org\/10.1007\/s11947-018-2226-y","journal-title":"Food Bioprocess Technol"},{"key":"10777_CR22","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.postharvbio.2015.07.006","volume":"111","author":"P Rungpichayapichet","year":"2016","unstructured":"Rungpichayapichet P, Mahayothee B, Nagle M, Khuwijitjaru P, M\u00fcller J (2016) Robust NIRS models for non-destructive prediction of postharvest fruit ripeness and quality in mango. Postharvest Biol Technol 111:31\u201340. https:\/\/doi.org\/10.1016\/j.postharvbio.2015.07.006","journal-title":"Postharvest Biol Technol"},{"issue":"2","key":"10777_CR23","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.eaef.2015.10.004","volume":"9","author":"A Saad","year":"2016","unstructured":"Saad A, Jha SN, Jaiswal P, Srivastava N, Helyes L (2016) Non-destructive quality monitoring of stored tomatoes using VIS-NIR spectroscopy. Eng Agric Environ Food 9(2):158\u2013164. https:\/\/doi.org\/10.1016\/j.eaef.2015.10.004","journal-title":"Eng Agric Environ Food"},{"key":"10777_CR24","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.tifs.2019.12.027","volume":"96","author":"PDC Sanchez","year":"2020","unstructured":"Sanchez PDC, Hashim N, Shamsudin R, Mohd Nor MZ (2020) Applications of imaging and spectroscopy techniques for non-destructive quality evaluation of potatoes and sweet potatoes: A review. Trends Food Sci Technol 96:208\u2013221. https:\/\/doi.org\/10.1016\/j.tifs.2019.12.027","journal-title":"Trends Food Sci Technol"},{"key":"10777_CR25","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.compag.2017.12.029","volume":"145","author":"LF Santos Pereira","year":"2018","unstructured":"Santos Pereira LF, Barbon S, Valous NA, Barbin DF (2018) Predicting the ripening of papaya fruit with digital imaging and random forests. Comput Electron Agric 145:76\u201382. https:\/\/doi.org\/10.1016\/j.compag.2017.12.029","journal-title":"Comput Electron Agric"},{"key":"10777_CR26","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.postharvbio.2016.04.019","volume":"119","author":"J Sun","year":"2016","unstructured":"Sun J, K\u00fcnnemeyer R, McGlone A, Rowe P (2016) Multispectral scattering imaging and NIR interactance for apple firmness predictions. Postharvest Biol Technol 119:58\u201368. https:\/\/doi.org\/10.1016\/j.postharvbio.2016.04.019","journal-title":"Postharvest Biol Technol"},{"key":"10777_CR27","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.foodchem.2016.09.023","volume":"218","author":"M Sun","year":"2017","unstructured":"Sun M, Zhang D, Liu L, Wang Z (2017) How to predict the sugariness and hardness of melons: A near-infrared hyperspectral imaging method. Food Chem 218:413\u2013421. https:\/\/doi.org\/10.1016\/j.foodchem.2016.09.023","journal-title":"Food Chem"},{"issue":"1","key":"10777_CR28","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.aca.2004.07.057","volume":"527","author":"M Urbano-Cuadrado","year":"2004","unstructured":"Urbano-Cuadrado M, De Castro ML, P\u00e9rez-Juan PM, Garc\u00b4\u0131a-Olmo J, G\u00b4omez-Nieto MA (2004) Near infrared reflectance spectroscopy and multivariate analysis in enology: Determination or screening of fifteen parameters in different types of wines. Anal Chim Acta 527(1):81\u201388. https:\/\/doi.org\/10.1016\/j.aca.2004.07.057","journal-title":"Anal Chim Acta"},{"issue":"2","key":"10777_CR29","doi-asserted-by":"publisher","first-page":"e00531","DOI":"10.1016\/j.heliyon.2018.e00531","volume":"4","author":"Y Uwadaira","year":"2018","unstructured":"Uwadaira Y, Sekiyama Y, Ikehata A (2018) An examination of the principle of non-destructive flesh firmness measurement of peach fruit by using VIS-NIR spectroscopy. Heliyon 4(2):e00531. https:\/\/doi.org\/10.1016\/j.heliyon.2018.e00531","journal-title":"Heliyon"},{"issue":"1","key":"10777_CR30","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.jfoodeng.2009.02.020","volume":"94","author":"M Valente","year":"2009","unstructured":"Valente M, Leardi R, Self G, Luciano G, Pain JP (2009) Multivariate calibration of mango firmness using vis\/NIR spectroscopy and acoustic impulse method. J Food Eng 94(1):7\u201313. https:\/\/doi.org\/10.1016\/j.jfoodeng.2009.02.020","journal-title":"J Food Eng"},{"key":"10777_CR31","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.postharvbio.2017.03.012","volume":"129","author":"JH Wang","year":"2017","unstructured":"Wang JH, Wang Jun, Chen Z, Han D (2017) Development of multi-cultivar models for predicting the soluble solid content and firmness of European pear (Pyrus communis L.) using portable vis\u2013NIR spectroscopy. Postharvest Biol Technol 129:143\u2013151. https:\/\/doi.org\/10.1016\/j.postharvbio.2017.03.012","journal-title":"Postharvest Biol Technol"},{"key":"10777_CR32","doi-asserted-by":"publisher","unstructured":"Wei X, He JC, Zheng SH, Ye DP (2019) Modeling for SSC and firmness detection of persimmon based on NIR hyperspectral imaging by sample partitioning and variables selection. Infrared Physics Technology 103099. https:\/\/doi.org\/10.1016\/j.infrared.2019.103099","DOI":"10.1016\/j.infrared.2019.103099"},{"issue":"2","key":"10777_CR33","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s11130-009-0120-5","volume":"64","author":"XM Yang","year":"2009","unstructured":"Yang XM, Yu W, Ou ZP, Ma HL, Liu WM, Ji XL (2009) Antioxidant and immunity activity of water extract and crude polysaccharide from Ficus carica L. fruit. Plant Foods Hum Nutr 64(2):167\u2013173. https:\/\/doi.org\/10.1007\/s11130-009-0120-5","journal-title":"Plant Foods Hum Nutr"},{"issue":"7","key":"10777_CR34","doi-asserted-by":"publisher","first-page":"e04350","DOI":"10.1016\/j.heliyon.2020.e04350","volume":"6","author":"S Yeganehzad","year":"2020","unstructured":"Yeganehzad S, Kiumarsi M, Nadali N, Rabie Ashkezary M (2020) Formulation, development and characterization of a novel functional fruit snack based on fig (Ficus carica L.) coated with sugar-free chocolate. Heliyon 6(7):e04350. https:\/\/doi.org\/10.1016\/j.heliyon.2020.e04350","journal-title":"Heliyon"},{"key":"10777_CR35","doi-asserted-by":"publisher","unstructured":"You H, Kim Y, Lee JH, Choi S (2017) Classification of food powders using handheld NIR spectrometer. 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) 732\u2013734. https:\/\/doi.org\/10.1109\/ICUFN.2017.7993887","DOI":"10.1109\/ICUFN.2017.7993887"},{"key":"10777_CR36","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1016\/j.proeng.2017.01.202","volume":"174","author":"HT Zhang","year":"2017","unstructured":"Zhang HT, Gu B, Mu JR, Ruan PJ, Li DW (2017) Wheat hardness prediction research based on NIR hyperspectral analysis combined with ant colony optimization algorithm. Procedia Eng 174:648\u2013656. https:\/\/doi.org\/10.1016\/j.proeng.2017.01.202","journal-title":"Procedia Eng"},{"key":"10777_CR37","doi-asserted-by":"publisher","unstructured":"Zhu AA, Chen YM, Yu QX, Cai JD HB (2019) Leveraging spatio-temporal patterns for predicting citywide traffic crowd flows using deep hybrid neural networks. IEEE 25th International Conference on Parallel and Distributed Systems 2019. https:\/\/doi.org\/10.1109\/ICPADS47876.2019.00025","DOI":"10.1109\/ICPADS47876.2019.00025"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10777-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-10777-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10777-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T05:17:18Z","timestamp":1621919838000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-10777-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,17]]},"references-count":37,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["10777"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-10777-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,17]]},"assertion":[{"value":"24 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 February 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}