{"id":"https://openalex.org/W4392237919","doi":"https://doi.org/10.3390/s24051542","title":"A Multi-Stage Feature Aggregation and Structure Awareness Network for Concrete Bridge Crack Detection","display_name":"A Multi-Stage Feature Aggregation and Structure Awareness Network for Concrete Bridge Crack Detection","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392237919","doi":"https://doi.org/10.3390/s24051542","pmid":"https://pubmed.ncbi.nlm.nih.gov/38475078"},"language":"en","primary_location":{"id":"doi:10.3390/s24051542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051542","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1542/pdf?version=1709106481","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/1424-8220/24/5/1542/pdf?version=1709106481","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110563016","display_name":"Erhu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Erhu Zhang","raw_affiliation_strings":["Department of Information Science, Xi\u2019an University of Technology, Xi\u2019an 710048, China","Department of Information Science, Xi'an University of Technology, Xi'an 710048, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Science, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Department of Information Science, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017035","display_name":"Tao Jiang","orcid":"https://orcid.org/0009-0008-5567-9985"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jiang","raw_affiliation_strings":["Department of Information Science, Xi\u2019an University of Technology, Xi\u2019an 710048, China","Department of Information Science, Xi'an University of Technology, Xi'an 710048, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Science, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Department of Information Science, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101071437","display_name":"Jinghong Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghong Duan","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110563016"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.7637,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81706801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":"5","first_page":"1542","last_page":"1542"},"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9966999888420105,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6488790512084961},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6194987297058105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6105867624282837},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.542715847492218},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5150003433227539},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4937048852443695},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.4822293221950531},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47650662064552307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40288323163986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3366248905658722},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32608407735824585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23841112852096558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20334872603416443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16962257027626038},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13652125000953674}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6488790512084961},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6194987297058105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6105867624282837},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.542715847492218},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5150003433227539},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4937048852443695},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.4822293221950531},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47650662064552307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40288323163986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366248905658722},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32608407735824585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23841112852096558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20334872603416443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16962257027626038},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13652125000953674},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24051542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051542","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1542/pdf?version=1709106481","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:38475078","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38475078","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:pubmedcentral.nih.gov:10933967","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10933967","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10933967/pdf/sensors-24-01542.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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"},{"id":"pmh:oai:doaj.org/article:2f93f3a6cfb74b0586dbcea754a488cc","is_oa":true,"landing_page_url":"https://doaj.org/article/2f93f3a6cfb74b0586dbcea754a488cc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 5, p 1542 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24051542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051542","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1542/pdf?version=1709106481","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":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8456685782","display_name":null,"funder_award_id":"62273273","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"},{"id":"https://openalex.org/F4320328010","display_name":"Yakult Bio-Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392237919.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1676763678","https://openalex.org/W1986306729","https://openalex.org/W2033294017","https://openalex.org/W2058988978","https://openalex.org/W2074925468","https://openalex.org/W2144801789","https://openalex.org/W2407692387","https://openalex.org/W2560622558","https://openalex.org/W2607333215","https://openalex.org/W2889494142","https://openalex.org/W2899242765","https://openalex.org/W2920768970","https://openalex.org/W2943898693","https://openalex.org/W2963299736","https://openalex.org/W2963420686","https://openalex.org/W2964098128","https://openalex.org/W2964308596","https://openalex.org/W2979396152","https://openalex.org/W2984906919","https://openalex.org/W3000192950","https://openalex.org/W3011200270","https://openalex.org/W3034502973","https://openalex.org/W3039785376","https://openalex.org/W3042350789","https://openalex.org/W3092521023","https://openalex.org/W3093870111","https://openalex.org/W3105421998","https://openalex.org/W3158546727","https://openalex.org/W3174243357","https://openalex.org/W3186051098","https://openalex.org/W3198586972","https://openalex.org/W3198911825","https://openalex.org/W3201890785","https://openalex.org/W3203699578","https://openalex.org/W4200377363","https://openalex.org/W4220780913","https://openalex.org/W4238100585","https://openalex.org/W4281254198","https://openalex.org/W4292261601","https://openalex.org/W4293518859","https://openalex.org/W4293519394","https://openalex.org/W4312002244","https://openalex.org/W4312294699","https://openalex.org/W4387681990","https://openalex.org/W6794874040","https://openalex.org/W6839019983"],"related_works":["https://openalex.org/W1501776718","https://openalex.org/W2615136228","https://openalex.org/W4293226380","https://openalex.org/W657108774","https://openalex.org/W4390516098","https://openalex.org/W2390192952","https://openalex.org/W2480620430","https://openalex.org/W2373296418","https://openalex.org/W2181948922","https://openalex.org/W2964954556"],"abstract_inverted_index":{"One":[0],"of":[1,66,116,189,237],"the":[2,47,95,113,138,143,152,165,176,181,187,198,206,226],"most":[3],"significant":[4],"problems":[5],"affecting":[6],"a":[7,73,98],"concrete":[8,15,84,117,190,229,274],"bridge's":[9],"safety":[10],"is":[11,18,88,102,122,133,170],"cracks.":[12,68,119,192],"However,":[13],"detecting":[14],"bridge":[16,67,85,118,191,230],"cracks":[17],"still":[19],"challenging":[20],"due":[21],"to":[22,39,45,62,111,124,135,141,195,213,282],"their":[23],"slender":[24],"nature,":[25],"low":[26,63],"contrast,":[27,130],"and":[28,53,77,178,202,223,233,241,248],"background":[29,59,159],"interference.":[30],"The":[31,218],"existing":[32,263],"convolutional":[33],"methods":[34],"with":[35,108,137,261],"square":[36,106],"kernels":[37],"struggle":[38],"capture":[40,125],"crack":[41,51,86,149,162,231,276,283],"features":[42,140,174,201,207],"effectively,":[43],"fail":[44],"perceive":[46,112],"long-range":[48,144],"dependencies":[49],"between":[50,147],"regions,":[52],"have":[54],"weak":[55],"suppression":[56],"ability":[57],"for":[58,82,172,243],"noises,":[60],"leading":[61],"detection":[64,87,284],"precision":[65],"To":[69],"address":[70],"this":[71,91],"problem,":[72],"multi-stage":[74],"feature":[75,166],"aggregation":[76],"structure":[78,115],"awareness":[79],"network":[80],"(MFSA-Net)":[81],"pixel-level":[83],"proposed":[89,103,219],"in":[90,94,259],"paper.":[92],"Specifically,":[93],"coding":[96],"stage,":[97,183],"structure-aware":[99],"convolution":[100,107,110,121,132,156],"block":[101,169],"by":[104],"combining":[105],"strip":[109,131,155],"linear":[114],"Square":[120],"used":[123],"detailed":[126],"local":[127,139],"information.":[128],"In":[129,193],"employed":[134],"interact":[136],"establish":[142],"dependence":[145],"relationship":[146],"discrete":[148],"regions.":[150,163],"Unlike":[151],"self-attention":[153],"mechanism,":[154],"also":[157,266],"suppresses":[158],"interference":[160],"near":[161],"Meanwhile,":[164],"attention":[167],"fusion":[168],"presented":[171],"fusing":[173],"from":[175,208],"encoder":[177],"decoder":[179],"at":[180],"same":[182],"which":[184],"can":[185],"sharpen":[186],"edges":[188],"order":[194],"fully":[196],"utilize":[197],"shallow":[199],"detail":[200],"deep":[203],"semantic":[204],"features,":[205],"different":[209],"stages":[210],"are":[211],"aggregated":[212],"obtain":[214],"fine-grained":[215],"segmentation":[216],"results.":[217],"MFSA-Net":[220,265],"was":[221],"trained":[222],"evaluated":[224],"on":[225,251,270],"publicly":[227,272],"available":[228,273],"dataset":[232],"achieved":[234],"average":[235],"results":[236],"73.74%,":[238],"77.04%,":[239],"75.30%,":[240],"60.48%":[242],"precision,":[244],"recall,":[245],"F1":[246],"score,":[247],"IoU,":[249],"respectively,":[250],"three":[252],"typical":[253],"sub-datasets,":[254],"thus":[255],"showing":[256],"optimal":[257,268],"performance":[258,269],"comparison":[260],"other":[262],"methods.":[264],"gained":[267],"two":[271],"pavement":[275],"datasets,":[277],"thereby":[278],"indicating":[279],"its":[280],"adaptability":[281],"across":[285],"diverse":[286],"scenarios.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}