{"id":"https://openalex.org/W3212156041","doi":"https://doi.org/10.3390/s21217405","title":"Road Surface Crack Detection Method Based on Conditional Generative Adversarial Networks","display_name":"Road Surface Crack Detection Method Based on Conditional Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3212156041","doi":"https://doi.org/10.3390/s21217405","mag":"3212156041","pmid":"https://pubmed.ncbi.nlm.nih.gov/34770711"},"language":"en","primary_location":{"id":"doi:10.3390/s21217405","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217405","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7405/pdf?version=1636336699","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/21/7405/pdf?version=1636336699","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090405941","display_name":"Anastasiia Kyslytsyna","orcid":null},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anastasiia Kyslytsyna","raw_affiliation_strings":["School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China","School of Electronics and Information Engineering, Hebei Univ. of Technology, #R##N#Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Hebei Univ. of Technology, #R##N#Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068081929","display_name":"Kewen Xia","orcid":"https://orcid.org/0000-0003-3968-481X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewen Xia","raw_affiliation_strings":["School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":"https://orcid.org/0000-0003-3968-481X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057354778","display_name":"Artem Kislitsyn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Artem Kislitsyn","raw_affiliation_strings":["Department of IT SBERX, Sberbank, 17997 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT SBERX, Sberbank, 17997 Moscow, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078286296","display_name":"Isselmou Abd El Kader","orcid":"https://orcid.org/0000-0002-0140-0749"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Isselmou Abd El Kader","raw_affiliation_strings":["Department Biomedical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Biomedical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034766193","display_name":"Youxi Wu","orcid":"https://orcid.org/0000-0001-5314-3468"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090405941"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3506,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79052187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"21","first_page":"7405","last_page":"7405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107133030891418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5250349044799805},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4923669099807739},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4745287001132965},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.46535995602607727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4606459438800812},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4266374409198761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37832292914390564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29418110847473145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15693247318267822},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0791802704334259},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.0762290358543396}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107133030891418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5250349044799805},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4923669099807739},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4745287001132965},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.46535995602607727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4606459438800812},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4266374409198761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37832292914390564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29418110847473145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15693247318267822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0791802704334259},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0762290358543396}],"mesh":[{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21217405","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217405","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7405/pdf?version=1636336699","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34770711","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34770711","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b769ecb2a90141fd8d3b9ae403e42a4e","is_oa":true,"landing_page_url":"https://doaj.org/article/b769ecb2a90141fd8d3b9ae403e42a4e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 21, p 7405 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/21/7405/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21217405","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 21; Pages: 7405","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8587934","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8587934","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21217405","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217405","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7405/pdf?version=1636336699","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1634007074","display_name":null,"funder_award_id":"21351803D","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1971315527","display_name":null,"funder_award_id":"No.42075129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3109117999","display_name":null,"funder_award_id":"20351802D","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3404147324","display_name":null,"funder_award_id":"U1813222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3871987228","display_name":null,"funder_award_id":"19210404D","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6779933176","display_name":null,"funder_award_id":"E2021202179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6937190195","display_name":null,"funder_award_id":"No.U1813222, No.42075129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8061055794","display_name":null,"funder_award_id":"42075129","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212156041.pdf","grobid_xml":"https://content.openalex.org/works/W3212156041.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W164894702","https://openalex.org/W1979277288","https://openalex.org/W1999864197","https://openalex.org/W2074925468","https://openalex.org/W2137160061","https://openalex.org/W2144801789","https://openalex.org/W2407692387","https://openalex.org/W2560550165","https://openalex.org/W2579318141","https://openalex.org/W2745396798","https://openalex.org/W2887092226","https://openalex.org/W2889494142","https://openalex.org/W2897447287","https://openalex.org/W2912350898","https://openalex.org/W2927219006","https://openalex.org/W2962676885","https://openalex.org/W2963073614","https://openalex.org/W2963954913","https://openalex.org/W2964189376","https://openalex.org/W2964308596","https://openalex.org/W2989864827","https://openalex.org/W2998590856","https://openalex.org/W3014583121","https://openalex.org/W3022492425","https://openalex.org/W3049596687","https://openalex.org/W3078820319","https://openalex.org/W3088228871","https://openalex.org/W3096831136","https://openalex.org/W3111553838","https://openalex.org/W3118378226","https://openalex.org/W3166170336","https://openalex.org/W3178929172","https://openalex.org/W6732226717","https://openalex.org/W6748666111"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4317418752","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W2676717608","https://openalex.org/W4211160793"],"abstract_inverted_index":{"Constant":[0],"monitoring":[1],"of":[2,10,24,49,66,90,101,118,149,201,224,236],"road":[3,16,26,169],"surfaces":[4],"helps":[5],"to":[6,19,37,97,215],"show":[7,241],"the":[8,15,21,25,41,53,67,99,105,119,150,163,168,177,188,193,199,204,208,221,225,237],"urgency":[9],"deterioration":[11],"or":[12,39],"problems":[13],"in":[14,57,84,183,207,227],"construction":[17],"and":[18,174,219],"improve":[20],"safety":[22],"level":[23],"surface.":[27],"Conditional":[28],"generative":[29],"adversarial":[30],"networks":[31],"(cGAN)":[32],"are":[33,61,80,181],"a":[34,71,129,145,156,184,216],"powerful":[35],"tool":[36],"generate":[38],"transform":[40],"images":[42,75,83,180,235],"used":[43],"for":[44,63,138],"crack":[45,141],"detection.":[46,142],"The":[47],"advantage":[48],"this":[50,124,126],"method":[51,130,244],"is":[52,92,95,108,170],"highly":[54],"accurate":[55,147],"results":[56,231],"vector-based":[58],"images,":[59],"which":[60,110],"convenient":[62],"mathematical":[64,116],"analysis":[65,117],"detected":[68,120,151],"cracks":[69],"at":[70],"later":[72],"time.":[73],"However,":[74],"taken":[76],"under":[77],"established":[78],"parameters":[79],"different":[81],"from":[82,176],"real-world":[85],"contexts.":[86],"Another":[87],"potential":[88],"problem":[89],"cGAN":[91,133],"that":[93,242],"it":[94],"difficult":[96],"detect":[98],"shape":[100,148],"an":[102],"object":[103],"when":[104],"resulting":[106],"accuracy":[107],"low,":[109],"can":[111],"seriously":[112],"affect":[113],"any":[114],"further":[115],"crack.":[121],"To":[122,143],"tackle":[123],"issue,":[125],"paper":[127],"proposes":[128],"called":[131],"improved":[132],"with":[134,159],"attention":[135,213],"gate":[136],"(ICGA)":[137],"roadway":[139],"surface":[140],"obtain":[144],"more":[146],"target":[152],"object,":[153],"ICGA":[154,191,196,210],"establishes":[155],"multi-level":[157],"model":[158],"independent":[160],"stages.":[161],"In":[162,187],"first":[164],"stage,":[165,190],"everything":[166],"except":[167],"treated":[171],"as":[172],"noise":[173],"removed":[175],"image.":[178,209],"These":[179],"stored":[182],"new":[185],"dataset.":[186],"second":[189],"determines":[192],"cracks.":[194],"Therefore,":[195],"focuses":[197],"on":[198,232],"redistribution":[200],"cracks,":[202],"not":[203],"auxiliary":[205],"elements":[206],"adds":[211],"two":[212],"gates":[214],"U-net":[217],"architecture":[218],"improves":[220],"segmentation":[222],"capacities":[223],"generator":[226],"pix2pix.":[228],"Extensive":[229],"experimental":[230],"dashboard":[233],"camera":[234],"Unsupervised":[238],"Llamas":[239],"dataset":[240],"our":[243],"has":[245],"better":[246],"performance":[247],"than":[248],"other":[249],"state-of-the-art":[250],"methods.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
