{"id":"https://openalex.org/W4389542594","doi":"https://doi.org/10.1109/embc40787.2023.10340605","title":"KL Divergence-based transfer learning for cross-subject eye movement recognition with EOG signals","display_name":"KL Divergence-based transfer learning for cross-subject eye movement recognition with EOG signals","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389542594","doi":"https://doi.org/10.1109/embc40787.2023.10340605","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083276"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340605","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340605","pdf_url":"https://ieeexplore.ieee.org/ielx7/10339936/10339939/10340605.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10339936/10339939/10340605.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018960114","display_name":"Ruizhi Su","orcid":"https://orcid.org/0009-0004-7838-6086"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"RuiZhi Su","raw_affiliation_strings":["School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024860056","display_name":"Zheng Zeng","orcid":"https://orcid.org/0000-0002-4396-1675"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zeng","raw_affiliation_strings":["School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047477586","display_name":"Linkai Tao","orcid":"https://orcid.org/0009-0004-3938-3288"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"LinKai Tao","raw_affiliation_strings":["Eindhoven University of Technology,School of Industrial Design,Department of Industrial Design,Eindhoven,The Netherlands,513 5600MB"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,School of Industrial Design,Department of Industrial Design,Eindhoven,The Netherlands,513 5600MB","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092047231","display_name":"Zaihao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZaiHao Wang","raw_affiliation_strings":["School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418370","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0001-7587-3314"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Fudan University,Human Phenome Institute,Shanghai,China,201203"],"affiliations":[{"raw_affiliation_string":"Fudan University,Human Phenome Institute,Shanghai,China,201203","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344582","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-3720-718X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433","Human Phenome Institute, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University,Center for Intelligent Medical Electronics,Department of Electronic Engineering,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Human Phenome Institute, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018960114"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1629568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399665117263794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.728679895401001},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6862959265708923},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6610366106033325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6316506266593933},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.554092526435852},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.5494102239608765},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4644263982772827},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4240604639053345},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42001405358314514},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4172123670578003},{"id":"https://openalex.org/keywords/electrooculography","display_name":"Electrooculography","score":0.4106983542442322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3652178645133972},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36242473125457764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399665117263794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.728679895401001},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6862959265708923},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6610366106033325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6316506266593933},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.554092526435852},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.5494102239608765},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4644263982772827},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4240604639053345},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42001405358314514},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4172123670578003},{"id":"https://openalex.org/C2778681526","wikidata":"https://www.wikidata.org/wiki/Q420647","display_name":"Electrooculography","level":3,"score":0.4106983542442322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3652178645133972},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36242473125457764},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004585","descriptor_name":"Electrooculography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004585","descriptor_name":"Electrooculography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004585","descriptor_name":"Electrooculography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004585","descriptor_name":"Electrooculography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004585","descriptor_name":"Electrooculography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005133","descriptor_name":"Eye Movements","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005133","descriptor_name":"Eye Movements","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005133","descriptor_name":"Eye Movements","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005133","descriptor_name":"Eye Movements","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005133","descriptor_name":"Eye Movements","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340605","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340605","pdf_url":"https://ieeexplore.ieee.org/ielx7/10339936/10339939/10340605.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083276","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083276","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/embc40787.2023.10340605","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340605","pdf_url":"https://ieeexplore.ieee.org/ielx7/10339936/10339939/10340605.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4305688413","display_name":null,"funder_award_id":"62001118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4424720421","display_name":null,"funder_award_id":"Grant No. 62001118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389542594.pdf","grobid_xml":"https://content.openalex.org/works/W4389542594.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2017004332","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2125865219","https://openalex.org/W2135378997","https://openalex.org/W2170273534","https://openalex.org/W2500082660","https://openalex.org/W2512777352","https://openalex.org/W2841799577","https://openalex.org/W2907176449","https://openalex.org/W2926366943","https://openalex.org/W2951108876","https://openalex.org/W2963275094","https://openalex.org/W3035499294","https://openalex.org/W3217051877","https://openalex.org/W4372355853"],"related_works":["https://openalex.org/W4283449118","https://openalex.org/W2734543841","https://openalex.org/W2612976815","https://openalex.org/W2589754273","https://openalex.org/W1980947986","https://openalex.org/W2294153031","https://openalex.org/W4384434815","https://openalex.org/W2960200109","https://openalex.org/W4306698199","https://openalex.org/W2572550367"],"abstract_inverted_index":{"Human-machine":[0],"interfaces":[1],"(HMIs)":[2],"based":[3,56],"on":[4,57],"Electro-oculogram":[5],"(EOG)":[6],"signals":[7],"have":[8,110,156],"been":[9],"widely":[10],"explored.":[11],"However,":[12],"due":[13],"to":[14,29,109,139],"the":[15,77,82,93,123,134,140,150,160,190,193],"individual":[16],"variability,":[17],"it":[18],"is":[19,100,137],"still":[20],"challenging":[21],"for":[22,102,116,176,202],"an":[23],"EOG-based":[24],"eye":[25,205],"movement":[26,206],"recognition":[27,207],"model":[28],"achieve":[30],"favorable":[31],"results":[32,131,185],"among":[33],"cross-subjects.":[34],"The":[35,130,163,183],"classical":[36,143],"transfer":[37,144,195],"learning":[38,145],"methods":[39],"such":[40],"as":[41],"CORrelation":[42],"Alignment":[43],"(CORAL),":[44],"Transfer":[45],"Component":[46],"Analysis":[47],"(TCA),":[48],"and":[49,60,71,96,142,147,197],"Joint":[50],"Distribution":[51],"Adaptation":[52],"(JDA)":[53],"are":[54],"mainly":[55],"feature":[58],"transformation":[59],"distribution":[61,112],"alignment,":[62],"which":[63],"do":[64],"not":[65,120],"consider":[66,122],"similarities/dissimilarities":[67],"between":[68,92],"target":[69,94,114,153],"subject":[70,95,99,115,177],"source":[72,98],"subjects.":[73],"In":[74],"this":[75,187],"paper,":[76],"Kullback-Leibler":[78],"(KL)":[79],"divergence":[80],"of":[81,88,152,166,186,192],"log-Power":[83],"Spectral":[84],"Density":[85],"(log-PSD)":[86],"features":[87],"horizontal":[89],"EOG":[90],"(HEOG)":[91],"each":[97],"calculated":[101],"adaptively":[103],"selecting":[104],"partial":[105],"subjects":[106,154],"that":[107,133],"suppose":[108],"similar":[111],"with":[113,159,180],"further":[117],"training.":[118],"It":[119],"only":[121],"similarity":[124],"but":[125],"also":[126],"reduce":[127],"computational":[128],"consumption.":[129],"show":[132],"proposed":[135,194],"approach":[136],"superior":[138],"baseline":[141,181],"methods,":[146],"significantly":[148],"improves":[149],"performance":[151,158],"who":[155],"poor":[157],"primary":[161],"classifiers.":[162],"best":[164],"improvement":[165],"Support":[167],"Vector":[168],"Machines":[169],"(SVM)":[170],"classifier":[171],"has":[172],"improved":[173],"by":[174],"13.1%":[175],"31":[178],"compared":[179],"result.":[182],"preliminary":[184],"study":[188],"demonstrate":[189],"effectiveness":[191],"framework":[196],"provide":[198],"a":[199],"promising":[200],"tool":[201],"implementing":[203],"cross-subject":[204],"models":[208],"in":[209],"real-life":[210],"scenarios.":[211]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
