{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:13:27Z","timestamp":1740158007759,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100013064","name":"Key Research and Development Program of Jiangxi Province","doi-asserted-by":"publisher","award":["20203BBE53029","20202BBEL53004"],"award-info":[{"award-number":["20203BBE53029","20202BBEL53004"]}],"id":[{"id":"10.13039\/501100013064","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s12652-022-03884-z","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T16:23:14Z","timestamp":1652804594000},"page":"16499-16512","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Face anti-spoofing via conditional adversarial domain generalization"],"prefix":"10.1007","volume":"14","author":[{"given":"Tijian","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuchun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zunxiong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"issue":"5","key":"3884_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1109\/MSP.2015.116","volume":"13","author":"Z Akhtar","year":"2015","unstructured":"Akhtar Z, Micheloni C, Foresti GL (2015) Biometric liveness detection: challenges and research opportunities. IEEE Secur Priv 13(5):63\u201372. https:\/\/doi.org\/10.1109\/MSP.2015.116","journal-title":"IEEE Secur Priv"},{"issue":"8","key":"3884_CR2","doi-asserted-by":"publisher","first-page":"1818","DOI":"10.1109\/TIFS.2016.2555286","volume":"11","author":"Z Boulkenafet","year":"2016","unstructured":"Boulkenafet Z, Komulainen J, Hadid A (2016) Face spoofing detection using colour texture analysis. IEEE Trans Inf Forensics Secur 11(8):1818\u20131830. https:\/\/doi.org\/10.1109\/TIFS.2016.2555286","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"2","key":"3884_CR3","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/LSP.2016.2630740","volume":"24","author":"Z Boulkenafet","year":"2017","unstructured":"Boulkenafet Z, Komulainen J, Hadid A (2017a) Face antispoofing using speeded-up robust features and fisher vector encoding. IEEE Signal Process Lett 24(2):141\u2013145. https:\/\/doi.org\/10.1109\/LSP.2016.2630740","journal-title":"IEEE Signal Process Lett"},{"key":"3884_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1109\/FG.2017.77","volume":"5","author":"Z Boulkenafet","year":"2017","unstructured":"Boulkenafet Z, Komulainen J, Li L, Feng X, Hadid A (2017b) Oulu-npu: a mobile face presentation attack database with real-world variations. IEEE Int Conf Autom Face Gesture Recogn 5:5. https:\/\/doi.org\/10.1109\/FG.2017.77","journal-title":"IEEE Int Conf Autom Face Gesture Recogn"},{"key":"3884_CR5","unstructured":"Chingovska I, Anjos A, Marcel S (2012) On the effectiveness of local binary patterns in face anti-spoofing. In: 2012 BIOSIG-Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), IEEE, pp 1\u20137"},{"key":"3884_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_28","author":"BB Damodaran","year":"2018","unstructured":"Damodaran BB, Kellenberger B, Flamary R, Tuia D, Courty N (2018) Deepjdot: deep joint distribution optimal transport for unsupervised domain adaptation. Proc Eur Conf Comput Vis (ECCV). https:\/\/doi.org\/10.1007\/978-3-030-01225-0_28","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"3884_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1687-5281-2014-2","volume":"1","author":"Pereira T de Freitas","year":"2014","unstructured":"de Freitas Pereira T, Komulainen J, Anjos A, De Martino JM, Hadid A, Pietik\u00e4inen M, Marcel S (2014) Face liveness detection using dynamic texture. EURASIP J Image Video Process 1:1\u201315. https:\/\/doi.org\/10.1186\/1687-5281-2014-2","journal-title":"EURASIP J Image Video Process"},{"key":"3884_CR8","doi-asserted-by":"publisher","unstructured":"Feng Y, Wu F, Shao X, Wang Y, Zhou X (2018) Joint 3d face reconstruction and dense alignment with position map regression network. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) Computer vision \u2013 ECCV 2018. Lecture notes in computer science, vol 11218. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-01264-9_33","DOI":"10.1007\/978-3-030-01264-9_33"},{"key":"3884_CR9","unstructured":"Feng H, Hong Z, Yue H, Chen Y, Wang K, Han J, Liu J, Ding E (2020) Learning generalized spoof cues for face anti-spoofing. arXiv:2005.03922"},{"key":"3884_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.293","author":"M Ghifary","year":"2015","unstructured":"Ghifary M, Kleijn WB, Zhang M, Balduzzi D (2015) Domain generalization for object recognition with multi-task autoencoders. IEEE Int Conf Comput Vis (ICCV). https:\/\/doi.org\/10.1109\/ICCV.2015.293","journal-title":"IEEE Int Conf Comput Vis (ICCV)"},{"key":"3884_CR11","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial networks. arXiv:1406.2661"},{"key":"3884_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90","author":"K He","year":"2016","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. Proc IEEE Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2016.90","journal-title":"Proc IEEE Conf Comput Vis Pattern Recogn"},{"key":"3884_CR13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00162","author":"L Hu","year":"2018","unstructured":"Hu L, Kan M, Shan S, Chen X (2018) Duplex generative adversarial network for unsupervised domain adaptation. IEEE\/CVF Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2018.00162","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn"},{"issue":"8","key":"3884_CR14","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","volume":"42","author":"J Hu","year":"2020","unstructured":"Hu J, Shen L, Albanie S, Sun G, Wu E (2020) Squeeze-and-excitation networks. IEEE Trans Pattern Anal Mach Intell 42(8):2011\u20132023. https:\/\/doi.org\/10.1109\/TPAMI.2019.2913372","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3884_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00851","author":"Y Jia","year":"2020","unstructured":"Jia Y, Zhang J, Shan S, Chen X (2020) Single-side domain generalization for face anti-spoofing. IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00851","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR)"},{"key":"3884_CR16","first-page":"583","volume-title":"Proceedings of the fifteenth international conference on artificial intelligence and statistics","author":"P Kar","year":"2012","unstructured":"Kar P, Karnick H (2012) Random feature maps for dot product kernels. In: Lawrence ND, Girolami M (eds) Proceedings of the fifteenth international conference on artificial intelligence and statistics. PMLR, La Palma, pp 583\u2013591"},{"key":"3884_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/SAMI50585.2021.9378628","author":"G Kert\u00e9sz","year":"2021","unstructured":"Kert\u00e9sz G (2021) Different triplet sampling techniques for lossless triplet loss on metric similarity learning. IEEE World Symp Appl Mach Intell Inf (SAMI). https:\/\/doi.org\/10.1109\/SAMI50585.2021.9378628","journal-title":"IEEE World Symp Appl Mach Intell Inf (SAMI)"},{"issue":"6","key":"3884_CR18","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Adv Neural Inf Process Syst 60(6):84\u201390. https:\/\/doi.org\/10.1145\/3065386","journal-title":"Adv Neural Inf Process Syst"},{"key":"3884_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7325686","author":"V Laparra","year":"2015","unstructured":"Laparra V, Gonzalez DM, Tuia D, Camps-Valls G (2015) Large-scale random features for kernel regression. IEEE Int Geosci Remote Sens Symp (IGARSS). https:\/\/doi.org\/10.1109\/IGARSS.2015.7325686","journal-title":"IEEE Int Geosci Remote Sens Symp (IGARSS)"},{"key":"3884_CR20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.591","author":"D Li","year":"2017","unstructured":"Li D, Yang Y, Song YZ, Hospedales TM (2017) Deeper, broader and artier domain generalization. IEEE International Conference on Computer Vision (ICCV). https:\/\/doi.org\/10.1109\/ICCV.2017.591","journal-title":"IEEE International Conference on Computer Vision (ICCV)"},{"key":"3884_CR21","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-319-46478-7_6","volume-title":"European conference on computer vision","author":"S Liu","year":"2016","unstructured":"Liu S, Yuen PC, Zhang S, Zhao G (2016) 3d mask face anti-spoofing with remote photoplethysmography. European conference on computer vision. Springer, Berlin, pp 85\u2013100. https:\/\/doi.org\/10.1007\/978-3-319-46478-7_6"},{"key":"3884_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_34","author":"SQ Liu","year":"2018","unstructured":"Liu SQ, Lan X, Yuen PC (2018a) Remote photoplethysmography correspondence feature for 3D mask face presentation attack detection. Proc Eur Conf Comput Vis (ECCV). https:\/\/doi.org\/10.1007\/978-3-030-01270-0_34","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"3884_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00048","author":"Y Liu","year":"2018","unstructured":"Liu Y, Jourabloo A, Liu X (2018b) Learning deep models for face anti-spoofing: binary or auxiliary supervision. IEEE\/CVF Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2018.00048","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn"},{"key":"3884_CR24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB.2011.6117510","author":"J M\u00e4\u00e4tt\u00e4","year":"2011","unstructured":"M\u00e4\u00e4tt\u00e4 J, Hadid A, Pietik\u00e4inen M (2011) Face spoofing detection from single images using micro-texture analysis. Int Jt Conf Biom (IJCB). https:\/\/doi.org\/10.1109\/IJCB.2011.6117510","journal-title":"Int Jt Conf Biom (IJCB)"},{"key":"3884_CR25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00397","author":"M Mancini","year":"2018","unstructured":"Mancini M, Porzi L, Bulo SR, Caputo B, Ricci E (2018) Boosting domain adaptation by discovering latent domains. IEEE\/CVF Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2018.00397","journal-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recogn."},{"key":"3884_CR26","unstructured":"Mirza M, Osindero S (2014) Conditional generative adversarial nets. arXiv:1411.1784"},{"key":"3884_CR27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00201","author":"D P\u00e9rez-Cabo","year":"2019","unstructured":"P\u00e9rez-Cabo D, Jim\u00e9nez-Cabello D, Costa-Pazo A, L\u00f3pez-Sastre RJ (2019) Deep anomaly detection for generalized face anti-spoofing. IEEE\/CVF Conf Comput Vis Pattern Recogn Worksh (CVPRW). https:\/\/doi.org\/10.1109\/CVPRW.2019.00201","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn Worksh (CVPRW)"},{"key":"3884_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00835","author":"PO Pinheiro","year":"2018","unstructured":"Pinheiro PO (2018) Unsupervised domain adaptation with similarity learning. IEEE\/CVF Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2018.00835","journal-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recogn."},{"key":"3884_CR29","unstructured":"Ranjan R, Castillo CD, Chellappa R (2017) L2-constrained softmax loss for discriminative face verification. arXiv:1703.09507"},{"key":"3884_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74","author":"RR Selvaraju","year":"2017","unstructured":"Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D (2017) Grad-cam: visual explanations from deep networks via gradient-based localization. IEEE Int Conf Comput Vis (ICCV). https:\/\/doi.org\/10.1109\/ICCV.2017.74","journal-title":"IEEE Int Conf Comput Vis (ICCV)"},{"key":"3884_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2017.8272765","author":"R Shao","year":"2017","unstructured":"Shao R, Lan X, Yuen PC (2017) Deep convolutional dynamic texture learning with adaptive channel-discriminability for 3D mask face anti-spoofing. IEEE Int Jt Conf Biom (IJCB). https:\/\/doi.org\/10.1109\/BTAS.2017.8272765","journal-title":"IEEE Int Jt Conf Biom (IJCB)"},{"key":"3884_CR32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01026","author":"R Shao","year":"2019","unstructured":"Shao R, Lan X, Li J, Yuen PC (2019) Multi-adversarial discriminative deep domain generalization for face presentation attack detection. IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR). https:\/\/doi.org\/10.1109\/CVPR.2019.01026","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR)"},{"key":"3884_CR33","doi-asserted-by":"publisher","first-page":"11974","DOI":"10.1609\/aaai.v34i07.6873","volume":"34","author":"R Shao","year":"2020","unstructured":"Shao R, Lan X, Yuen PC (2020) Regularized fine-grained meta face anti-spoofing. Proc AAAI Conf Artif Intell 34:11974\u201311981. https:\/\/doi.org\/10.1609\/aaai.v34i07.6873","journal-title":"Proc AAAI Conf Artif Intell"},{"issue":"2","key":"3884_CR34","doi-asserted-by":"publisher","first-page":"257","DOI":"10.2478\/v10178-012-0022-y","volume":"19","author":"M Smiatacz","year":"2012","unstructured":"Smiatacz M (2012) Liveness measurements using optical flow for biometric person authentication. Metrol Meas Syst 19(2):257\u2013268. https:\/\/doi.org\/10.2478\/v10178-012-0022-y","journal-title":"Metrol Meas Syst"},{"issue":"3","key":"3884_CR35","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JA Suykens","year":"1999","unstructured":"Suykens JA, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293\u2013300. https:\/\/doi.org\/10.1023\/A:1018628609742","journal-title":"Neural Process Lett"},{"issue":"11","key":"3884_CR36","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten L, Hinton G (2008) Visualizing data using t-sne. J Mach Learn Res 9(11):2579\u20132605","journal-title":"J Mach Learn Res"},{"key":"3884_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00576","author":"R Volpi","year":"2018","unstructured":"Volpi R, Morerio P, Savarese S, Murino V (2018) Adversarial feature augmentation for unsupervised domain adaptation. IEEE\/CVF Conf Comput Vis Pattern Recogn. https:\/\/doi.org\/10.1109\/CVPR.2018.00576","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn"},{"key":"3884_CR38","unstructured":"Wang Z, Zhao C, Qin Y, Zhou Q, Lei Z (2018) Exploiting temporal and depth information for multi-frame face anti-spoofing. arXiv:1811.05118"},{"key":"3884_CR39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00509","author":"Z Wang","year":"2020","unstructured":"Wang Z, Yu Z, Zhao C, Zhu X, Qin Y, Zhou Q, Zhou F, Lei Z (2020) Deep spatial gradient and temporal depth learning for face anti-spoofing. IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00509","journal-title":"IEEE\/CVF Conf Comput Vis Pattern Recogn (CVPR)"},{"issue":"4","key":"3884_CR40","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TIFS.2015.2400395","volume":"10","author":"D Wen","year":"2015","unstructured":"Wen D, Han H, Jain AK (2015) Face spoof detection with image distortion analysis. IEEE Trans Inf Forensics Secur 10(4):746\u2013761. https:\/\/doi.org\/10.1109\/TIFS.2015.2400395","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"3884_CR41","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486482","author":"Z Xu","year":"2015","unstructured":"Xu Z, Li S, Deng W (2015) Learning temporal features using lstm-cnn architecture for face anti-spoofing. IAPR Asian Conf Pattern Recogn (ACPR). https:\/\/doi.org\/10.1109\/ACPR.2015.7486482","journal-title":"IAPR Asian Conf Pattern Recogn (ACPR)"},{"key":"3884_CR42","unstructured":"Yang J, Lei Z, Li SZ (2014) Learn convolutional neural network for face anti-spoofing. arXiv:1408.5601"},{"key":"3884_CR43","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1007\/978-3-030-58571-6_33","volume-title":"European conference on computer vision","author":"Z Yu","year":"2020","unstructured":"Yu Z, Li X, Niu X, Shi J, Zhao G (2020) Face anti-spoofing with human material perception. European conference on computer vision. Springer, Berlin, pp 557\u2013575. https:\/\/doi.org\/10.1007\/978-3-030-58571-6_33"},{"key":"3884_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2012.6199754","author":"Z Zhang","year":"2012","unstructured":"Zhang Z, Yan J, Liu S, Lei Z, Yi D, Li SZ (2012) A face antispoofing database with diverse attacks. IAPR Int Conf Biom (ICB). https:\/\/doi.org\/10.1109\/ICB.2012.6199754","journal-title":"IAPR Int Conf Biom (ICB)"},{"issue":"10","key":"3884_CR45","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang K, Zhang Z, Li Z, Qiao Y (2016) Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett 23(10):1499\u20131503. https:\/\/doi.org\/10.1109\/LSP.2016.2603342","journal-title":"IEEE Signal Process Lett"},{"key":"3884_CR46","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00143","author":"A Zhao","year":"2021","unstructured":"Zhao A, Ding M, Liu Z, Xiang T, Niu Y, Guan J, Wen J (2021) Domain-adaptive few-short learning. IEEE Winter Conf Appl Comput Vis (WACV). https:\/\/doi.org\/10.1109\/WACV48630.2021.00143","journal-title":"IEEE Winter Conf Appl Comput Vis (WACV)"},{"key":"3884_CR47","doi-asserted-by":"publisher","first-page":"5352","DOI":"10.1109\/TIFS.2021.3125603","volume":"16","author":"L Zhou","year":"2021","unstructured":"Zhou L, Luo J, Gao X, Li W, Lei B, Leng J (2021) Selective domain-invariant feature alignment network for face anti-spoofing. IEEE Trans Inf Forensics Secur 16:5352\u20135365. https:\/\/doi.org\/10.1109\/TIFS.2021.3125603","journal-title":"IEEE Trans Inf Forensics Secur"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-03884-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-022-03884-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-03884-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T11:32:57Z","timestamp":1703676777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-022-03884-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,17]]},"references-count":47,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["3884"],"URL":"https:\/\/doi.org\/10.1007\/s12652-022-03884-z","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2022,5,17]]},"assertion":[{"value":"25 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2022","order":3,"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 that there is no conflict of interests in the paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}