{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T00:18:52Z","timestamp":1788999532596,"version":"build-2803163510"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100019081","name":"Science and Technology Program of Hunan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019081","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52472428"],"award-info":[{"award-number":["52472428"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis & Prevention"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.aap.2025.108271","type":"journal-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:29:01Z","timestamp":1760174941000},"page":"108271","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["An integrated active\u2013passive safety strategy for automobiles based on driver state recognition and injury risk prediction"],"prefix":"10.1016","volume":"223","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1385-4577","authenticated-orcid":false,"given":"Jing","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.aap.2025.108271_b0005","doi-asserted-by":"crossref","first-page":"155","DOI":"10.11648\/j.acm.20200905.12","article-title":"Exploiting machine learning algorithms for predicting crash injury severity in yemen: hospital case study","volume":"9","author":"Al-Moqri","year":"2020","journal-title":"Appl. Comput. Mathemat."},{"key":"10.1016\/j.aap.2025.108271_b0010","series-title":"Proceedings of the 2024 International Conference on Advanced Information Scientific Development (ICAISD)","first-page":"74","article-title":"Smart driver safety: Fatigue detection using yolov8 and facial landmarks","author":"Alaziz","year":"2024"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0015","first-page":"100201","article-title":"Differences between day and night pedestrian-injury severities: accounting for temporal and unobserved effects in prediction","volume":"33","author":"Alogaili","year":"2022","journal-title":"Anal. Methods Accid. Res"},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0020","doi-asserted-by":"crossref","first-page":"12240","DOI":"10.1038\/s41598-025-86709-1","article-title":"Optimized driver fatigue detection method using multimodal neural networks","volume":"15","author":"Cao","year":"2025","journal-title":"Sci. Rep."},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0025","doi-asserted-by":"crossref","first-page":"5439","DOI":"10.1109\/TTE.2023.3320262","article-title":"Combined lka and dyc control for electric vehicle with a domain-centralized e\/e architecture based on software-defined networking","volume":"10","author":"Cao","year":"2023","journal-title":"IEEE Trans. Transp. Electrif."},{"key":"10.1016\/j.aap.2025.108271_b0030","unstructured":"CNCAP, 2024. C-ncap management regulation. China Automotive Technology and Research Center. https:\/\/www.c-ncap.org.cn\/cncap-guicheng-detail?id=9."},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0035","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.aap.2013.02.020","article-title":"Evaluation of vehicle side airbag effectiveness in victoria, australia","volume":"54","author":"D\u2019elia","year":"2013","journal-title":"Accid. Anal. Prev."},{"issue":"10","key":"10.1016\/j.aap.2025.108271_b0040","doi-asserted-by":"crossref","first-page":"10572","DOI":"10.1109\/TITS.2023.3277015","article-title":"A bargaining game-based human\u2013machine shared driving control authority allocation strategy","volume":"24","author":"Dai","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2025.108271_b0045","series-title":"Proceedings of the Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"3560","article-title":"Attentional feature fusion","author":"Dai","year":"2021"},{"issue":"10","key":"10.1016\/j.aap.2025.108271_b0050","doi-asserted-by":"crossref","first-page":"1910","DOI":"10.1049\/itr2.12560","article-title":"Driver distraction and fatigue detection in images using me\u2010yolov8 algorithm","volume":"18","author":"Debsi","year":"2024","journal-title":"IET Intel. Transport Syst."},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0055","doi-asserted-by":"crossref","first-page":"107372","DOI":"10.1016\/j.aap.2023.107372","article-title":"An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving","volume":"195","author":"Deng","year":"2024","journal-title":"Accid. Anal. Prev."},{"issue":"4","key":"10.1016\/j.aap.2025.108271_b0060","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/0389-4304(94)90216-X","article-title":"Development of a rear-end collision avoidance system with automatic brake control","volume":"15","author":"Doi","year":"1994","journal-title":"JSAE Rev."},{"issue":"11","key":"10.1016\/j.aap.2025.108271_b0065","doi-asserted-by":"crossref","first-page":"21810","DOI":"10.1109\/TITS.2022.3176973","article-title":"A multimodal fusion fatigue driving detection method based on heart rate and perclos","volume":"23","author":"Du","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"10.1016\/j.aap.2025.108271_b0070","doi-asserted-by":"crossref","first-page":"100","DOI":"10.3390\/designs7040100","article-title":"Safety in traffic management systems: a comprehensive survey","volume":"7","author":"Du","year":"2023","journal-title":"Designs"},{"key":"10.1016\/j.aap.2025.108271_b0075","article-title":"A multi-year statistical analysis of driver injury severities in single-vehicle freeway crashes with and without airbags deployed","volume":"41","author":"Dzinyela","year":"2024","journal-title":"Anal. Methods Accid. Res"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0080","doi-asserted-by":"crossref","first-page":"9441","DOI":"10.1007\/s11042-023-15054-0","article-title":"Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review","volume":"83","author":"El-Nabi","year":"2024","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.aap.2025.108271_b0085","unstructured":"Encap, 2014. Safety assist version 7.0. European New Car Assessment Programme. https:\/\/www.euroncap.com\/en\/for-engineers\/protocols\/safety-assist\/."},{"key":"10.1016\/j.aap.2025.108271_b0090","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.aap.2015.03.029","article-title":"Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes","volume":"81","author":"Fildes","year":"2015","journal-title":"Accid. Anal. Prev."},{"issue":"16","key":"10.1016\/j.aap.2025.108271_b0095","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/0389-4304(95)94875-N","article-title":"Radar brake system","volume":"1","author":"Fujita","year":"1995","journal-title":"JSAE Rev."},{"issue":"16","key":"10.1016\/j.aap.2025.108271_b0100","doi-asserted-by":"crossref","first-page":"5558","DOI":"10.3390\/s21165558","article-title":"Survey and synthesis of state of the art in driver monitoring","volume":"21","author":"Halin","year":"2021","journal-title":"Sensors"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0105","doi-asserted-by":"crossref","first-page":"103758","DOI":"10.1016\/j.bspc.2022.103758","article-title":"Linear and nonlinear analyses of heart rate variability signals under mental load","volume":"77","author":"Hao","year":"2022","journal-title":"Biomed. Signal Process. Control"},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0110","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/TVT.2022.3199969","article-title":"Investigation on aeb key parameters for improving car to two-wheeler collision safety using in-depth traffic accident data","volume":"72","author":"Hu","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.aap.2025.108271_b0115","doi-asserted-by":"crossref","first-page":"104710","DOI":"10.1016\/j.ssci.2020.104710","article-title":"Investigation of clusters and injuries in pedestrian crashes using gis in changsha, china","volume":"127","author":"Hu","year":"2020","journal-title":"Saf. Sci."},{"key":"10.1016\/j.aap.2025.108271_b0120","series-title":"Proceedings of the Proceedings of the Human Factors and Ergonomics Society Annual Meeting","first-page":"1372","article-title":"The impact of mental states on semi-autonomous driving takeover performance: a systematic review","author":"Huang","year":"2020"},{"key":"10.1016\/j.aap.2025.108271_b0125","doi-asserted-by":"crossref","first-page":"125568","DOI":"10.1016\/j.eswa.2024.125568","article-title":"Cosgctformer: an end-to-end driver state recognition framework","volume":"261","author":"Huang","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.aap.2025.108271_b0130","doi-asserted-by":"crossref","first-page":"121729","DOI":"10.1016\/j.eswa.2023.121729","article-title":"A multilayer stacking method base on rfe-shap feature selection strategy for recognition of driver\u2019s mental load and emotional state","volume":"238","author":"Huang","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.aap.2025.108271_b0135","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.trf.2013.12.023","article-title":"When emotions disturb the localization of road elements: effects of anger and sadness","volume":"23","author":"Jallais","year":"2014","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0140","doi-asserted-by":"crossref","first-page":"106393","DOI":"10.1016\/j.compbiomed.2022.106393","article-title":"Machine learning-based injury severity prediction of level 1 trauma center enrolled patients associated with car-to-car crashes in korea","volume":"153","author":"Kong","year":"2023","journal-title":"Comput. Biol. Med."},{"issue":"2","key":"10.1016\/j.aap.2025.108271_b0145","doi-asserted-by":"crossref","first-page":"455","DOI":"10.3390\/s24020455","article-title":"Remote photoplethysmography and motion tracking convolutional neural network with bidirectional long short-term memory: non-invasive fatigue detection method based on multi-modal fusion","volume":"24","author":"Kong","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.aap.2025.108271_b0150","series-title":"Proceedings of the 2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)","first-page":"62","article-title":"A fatigue driving recognition method based on woa-attention-gru","author":"Li","year":"2023"},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0155","doi-asserted-by":"crossref","first-page":"22621","DOI":"10.1038\/s41598-023-48729-7","article-title":"Study of aeb and active seat belt on driver injury in vehicle\u2013vehicle frontal oblique crash","volume":"13","author":"Li","year":"2023","journal-title":"Sci. Rep."},{"key":"10.1016\/j.aap.2025.108271_b0160","doi-asserted-by":"crossref","first-page":"107870","DOI":"10.1016\/j.aap.2024.107870","article-title":"Activation strategies and effectiveness of intelligent safety systems for reducing pedestrian injuries in autonomous vehicles","volume":"211","author":"Li","year":"2025","journal-title":"Accid. Anal. Prev."},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0165","first-page":"10","article-title":"Visual-attribute-based emotion regulation of angry driving behaviors","volume":"14","author":"Li","year":"2021","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"issue":"9","key":"10.1016\/j.aap.2025.108271_b0170","doi-asserted-by":"crossref","DOI":"10.1177\/1550147719872452","article-title":"A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data","volume":"15","author":"Li","year":"2019","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"10.1016\/j.aap.2025.108271_b0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106302","article-title":"Multiobjective optimization on cooperative control of autonomous emergency steering and occupant restraint system for enhancing occupant safety","volume":"159","author":"Liufu","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2025.108271_b0180","doi-asserted-by":"crossref","first-page":"210750","DOI":"10.1109\/ACCESS.2020.3040165","article-title":"Crash severity prediction using two-layer ensemble machine learning model for proactive emergency management","volume":"8","author":"Mansoor","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.aap.2025.108271_b0185","doi-asserted-by":"crossref","first-page":"596038","DOI":"10.3389\/fpsyg.2021.596038","article-title":"Classification of drivers' workload using physiological signals in conditional automation","volume":"12","author":"Meteier","year":"2021","journal-title":"Front. Psychol."},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.multra.2025.100221","article-title":"Quantifying the life-saving impact of seatbelt usage: a random forest analysis of unobserved heterogeneity and latent risk factors in vehicular fatalities","volume":"4","author":"Mohamad","year":"2025","journal-title":"Multimodal Transportation"},{"issue":"8","key":"10.1016\/j.aap.2025.108271_b0195","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1080\/00423110701576130","article-title":"Human driving data-based design of a vehicle adaptive cruise control algorithm","volume":"46","author":"Moon","year":"2008","journal-title":"Veh. Syst. Dyn."},{"issue":"4","key":"10.1016\/j.aap.2025.108271_b0200","first-page":"405","article-title":"Active and passive safety systems of the automobile","volume":"8","author":"Nedelescu","year":"2023","journal-title":"Tech. Sci."},{"key":"10.1016\/j.aap.2025.108271_b0205","first-page":"334","article-title":"Development of a collision avoidance system","volume":"98","author":"Peter","year":"1998","journal-title":"Soc. Automot. Eng."},{"issue":"4","key":"10.1016\/j.aap.2025.108271_b0210","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/S0196-0644(98)70169-6","article-title":"Patterns of injury in belted and unbelted individuals presenting to a trauma center after motor vehicle crash: seat belt syndrome revisited","volume":"32","author":"Porter","year":"1998","journal-title":"Ann. Emerg. Med."},{"issue":"5","key":"10.1016\/j.aap.2025.108271_b0215","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1109\/THMS.2016.2549032","article-title":"Driver assistance system with a dual control scheme: effectiveness of identifying driver drowsiness and preventing lane departure accidents","volume":"46","author":"Saito","year":"2016","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"10.1016\/j.aap.2025.108271_b0220","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.jsr.2021.12.007","article-title":"A literature review of machine learning algorithms for crash injury severity prediction","volume":"80","author":"Santos","year":"2022","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2025.108271_b0225","doi-asserted-by":"crossref","first-page":"106836","DOI":"10.1016\/j.aap.2022.106836","article-title":"Real-time driving risk assessment using deep learning with xgboost","volume":"178","author":"Shi","year":"2022","journal-title":"Accid. Anal. Prev."},{"issue":"4","key":"10.1016\/j.aap.2025.108271_b0230","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1007\/s40846-022-00734-3","article-title":"Three-dimensional musculoskeletal model of the lower extremity: integration of gait analysis data with finite element analysis","volume":"42","author":"Shih","year":"2022","journal-title":"J. Med. Biol. Eng."},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0235","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.trf.2018.08.012","article-title":"Effects of emotions on driving behavior","volume":"59","author":"Steinhauser","year":"2018","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2025.108271_b0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.106972","article-title":"The relationship between aggressive driving and driver performance: a systematic review with meta-analysis","volume":"183","author":"Su","year":"2023","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0245","first-page":"112","article-title":"Analysis on the influence of occupant displacement and parameter optimization under pre-crash braking condition","volume":"45","author":"Sun","year":"2023","journal-title":"Automot. Eng."},{"key":"10.1016\/j.aap.2025.108271_b0250","series-title":"Study on multimodal recognition method of driver\u2019s anger emotion and mechanism of driving risk under anger emotion","author":"Wang","year":"2020"},{"issue":"8","key":"10.1016\/j.aap.2025.108271_b0255","doi-asserted-by":"crossref","first-page":"104703","DOI":"10.1016\/j.isci.2022.104703","article-title":"Human injury-based safety decision of automated vehicles","volume":"25","author":"Wang","year":"2022","journal-title":"Iscience"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0260","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.trf.2023.02.004","article-title":"Driver's mental workload classification using physiological, traffic flow and environmental factors","volume":"94","author":"Wei","year":"2023","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2025.108271_b0265","unstructured":"Who, 2023. Global status report on road safety 2023. World Health Organization. https:\/\/www.who.int\/publications\/i\/item\/9789240086517."},{"issue":"2","key":"10.1016\/j.aap.2025.108271_b0270","doi-asserted-by":"crossref","first-page":"2034","DOI":"10.1109\/TITS.2023.3316203","article-title":"Quantitative identification of driver distraction: a weakly supervised contrastive learning approach","volume":"25","author":"Yang","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0275","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1109\/TIE.2023.3239878","article-title":"A new adaptive cruise control considering crash avoidance for intelligent vehicle","volume":"71","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"1","key":"10.1016\/j.aap.2025.108271_b0280","doi-asserted-by":"crossref","first-page":"137","DOI":"10.3390\/s24010137","article-title":"Numerical analysis of an autonomous emergency braking system for rear-end collisions of electric bicycles","volume":"24","author":"Zhao","year":"2023","journal-title":"Sensors"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0285","first-page":"13","article-title":"Data mining on crashworthiness data of occupant restraint system","volume":"29","author":"Zhao","year":"2010","journal-title":"J. Vibrat. Shock"},{"issue":"3","key":"10.1016\/j.aap.2025.108271_b0290","first-page":"1","article-title":"Optimization of aeb decision system based on unsafe control behavior analysis and improved abas algorithm","volume":"25","author":"Zhou","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457525003598?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457525003598?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:10:10Z","timestamp":1774329010000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457525003598"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":58,"alternative-id":["S0001457525003598"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2025.108271","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An integrated active\u2013passive safety strategy for automobiles based on driver state recognition and injury risk prediction","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2025.108271","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108271"}}