{"id":"https://openalex.org/W4312195190","doi":"https://doi.org/10.1093/bib/bbac580","title":"Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data","display_name":"Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data","publication_year":2022,"publication_date":"2022-12-24","ids":{"openalex":"https://openalex.org/W4312195190","doi":"https://doi.org/10.1093/bib/bbac580","pmid":"https://pubmed.ncbi.nlm.nih.gov/36567258"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac580","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac580","pdf_url":"https://academic.oup.com/bib/article-pdf/24/1/bbac580/48782247/bbac580.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/24/1/bbac580/48782247/bbac580.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100460984","display_name":"Siqi Chen","orcid":"https://orcid.org/0000-0003-0659-4113"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Chen","raw_affiliation_strings":["Central South University School of Computer Science and Engineering, , Changsha 410083 , China"],"affiliations":[{"raw_affiliation_string":"Central South University School of Computer Science and Engineering, , Changsha 410083 , China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011286905","display_name":"Xuhua Yan","orcid":"https://orcid.org/0000-0002-3183-3342"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhua Yan","raw_affiliation_strings":["Central South University School of Computer Science and Engineering, , Changsha 410083 , China"],"affiliations":[{"raw_affiliation_string":"Central South University School of Computer Science and Engineering, , Changsha 410083 , China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044328870","display_name":"Ruiqing Zheng","orcid":"https://orcid.org/0000-0001-6372-6798"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqing Zheng","raw_affiliation_strings":["Central South University School of Computer Science and Engineering, , Changsha 410083 , China"],"affiliations":[{"raw_affiliation_string":"Central South University School of Computer Science and Engineering, , Changsha 410083 , China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719013","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-0188-1394"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Li","raw_affiliation_strings":["Central South University School of Computer Science and Engineering, , Changsha 410083 , China"],"affiliations":[{"raw_affiliation_string":"Central South University School of Computer Science and Engineering, , Changsha 410083 , China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100719013"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":1.2151,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.78601784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10773","display_name":"Extracellular vesicles in disease","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6644271612167358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6618660688400269},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5545552968978882},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.539205014705658},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5077024698257446},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49442362785339355},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4592357575893402},{"id":"https://openalex.org/keywords/rna-seq","display_name":"RNA-Seq","score":0.45274338126182556},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4459991157054901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4285372197628021},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.3621508479118347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484075963497162},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.26856529712677},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.239542156457901},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.17478904128074646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17404848337173462},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1689072847366333},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14422637224197388},{"id":"https://openalex.org/keywords/transcriptome","display_name":"Transcriptome","score":0.09798115491867065}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6644271612167358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618660688400269},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5545552968978882},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.539205014705658},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5077024698257446},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49442362785339355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4592357575893402},{"id":"https://openalex.org/C107397762","wikidata":"https://www.wikidata.org/wiki/Q2542347","display_name":"RNA-Seq","level":5,"score":0.45274338126182556},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4459991157054901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4285372197628021},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3621508479118347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484075963497162},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.26856529712677},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.239542156457901},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.17478904128074646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17404848337173462},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1689072847366333},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14422637224197388},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.09798115491867065},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000081246","descriptor_name":"RNA-Seq","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000081246","descriptor_name":"RNA-Seq","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000081246","descriptor_name":"RNA-Seq","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbac580","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac580","pdf_url":"https://academic.oup.com/bib/article-pdf/24/1/bbac580/48782247/bbac580.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36567258","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36567258","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bib/bbac580","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac580","pdf_url":"https://academic.oup.com/bib/article-pdf/24/1/bbac580/48782247/bbac580.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"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/G1231421488","display_name":null,"funder_award_id":"under","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/G5939423041","display_name":null,"funder_award_id":"Technology","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/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8663586063","display_name":null,"funder_award_id":"62225209","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/W4312195190.pdf","grobid_xml":"https://content.openalex.org/works/W4312195190.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2042930277","https://openalex.org/W2073366797","https://openalex.org/W2103868202","https://openalex.org/W2128728535","https://openalex.org/W2160697532","https://openalex.org/W2165874743","https://openalex.org/W2342688693","https://openalex.org/W2514448720","https://openalex.org/W2751468300","https://openalex.org/W2780155440","https://openalex.org/W2788348358","https://openalex.org/W2792693509","https://openalex.org/W2805619986","https://openalex.org/W2888615663","https://openalex.org/W2898718502","https://openalex.org/W2900510132","https://openalex.org/W2907783748","https://openalex.org/W2914966303","https://openalex.org/W2918882492","https://openalex.org/W2927507212","https://openalex.org/W2944189019","https://openalex.org/W2945415170","https://openalex.org/W2947877009","https://openalex.org/W2949067670","https://openalex.org/W2951217100","https://openalex.org/W2951381561","https://openalex.org/W2951506174","https://openalex.org/W2977512847","https://openalex.org/W2990621560","https://openalex.org/W3080162757","https://openalex.org/W3134111171","https://openalex.org/W3134128419","https://openalex.org/W3159084177","https://openalex.org/W4205559708","https://openalex.org/W4225981439","https://openalex.org/W4280598116","https://openalex.org/W4288384188","https://openalex.org/W6684578312","https://openalex.org/W6749307547","https://openalex.org/W6754636705","https://openalex.org/W6759641963"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Single-cell":[0],"RNA-sequencing":[1],"technology":[2],"(scRNA-seq)":[3],"brings":[4],"research":[5],"to":[6,25,69,73,114,135],"single-cell":[7],"resolution.":[8],"However,":[9],"a":[10,67,71,133],"major":[11],"drawback":[12],"of":[13,57,97,99,139,157,168,177,184,191,199],"scRNA-seq":[14,34,148,178],"is":[15,38,66],"large":[16],"sparsity,":[17],"i.e.":[18],"expressed":[19,186],"genes":[20,100],"with":[21,210],"no":[22],"reads":[23],"due":[24],"technical":[26],"noise":[27],"or":[28],"limited":[29],"sequence":[30],"depth":[31],"during":[32],"the":[33,53,127,137,155,166,182,189,197],"protocol.":[35],"This":[36],"phenomenon":[37],"also":[39],"called":[40],"'dropout'":[41],"events,":[42],"which":[43,83],"likely":[44],"affect":[45],"downstream":[46,175],"analyses":[47,176],"such":[48],"as":[49,132],"differential":[50],"expression":[51,93],"analysis,":[52],"clustering":[54,192],"and":[55,75,95,104,145,161,164,193,195,207],"visualization":[56],"cell":[58,102],"subpopulations,":[59],"cellular":[60,200],"trajectory":[61],"inference,":[62],"etc.":[63],"Therefore,":[64],"there":[65],"need":[68],"develop":[70],"method":[72],"identify":[74],"impute":[76,116],"these":[77],"dropout":[78,86],"events.":[79],"We":[80],"propose":[81],"Bubble,":[82],"first":[84],"identifies":[85],"events":[87],"from":[88],"all":[89],"zeros":[90],"based":[91],"on":[92],"rate":[94],"coefficient":[96],"variation":[98],"within":[101],"subpopulation,":[103],"then":[105],"leverages":[106],"an":[107],"autoencoder":[108],"constrained":[109],"by":[110],"bulk":[111,129],"RNA-seq":[112,130],"data":[113,131],"only":[115],"those":[117],"values.":[118],"Unlike":[119],"other":[120],"deep":[121],"learning-based":[122],"imputation":[123,209],"methods,":[124],"Bubble":[125,153,180,204],"fuses":[126],"matched":[128],"constraint":[134],"reduce":[136],"introduction":[138,167],"false":[140,169],"positive":[141,170],"signals.":[142,171],"Using":[143],"simulated":[144],"several":[146],"real":[147],"datasets,":[149],"we":[150],"demonstrate":[151],"that":[152],"enhances":[154],"recovery":[156],"missing":[158],"values,":[159],"gene-to-gene":[160],"cell-to-cell":[162],"correlations,":[163],"reduces":[165],"Regarding":[172],"some":[173],"crucial":[174],"data,":[179],"facilitates":[181],"identification":[183],"differentially":[185],"genes,":[187],"improves":[188],"performance":[190],"visualization,":[194],"aids":[196],"construction":[198],"trajectory.":[201],"More":[202],"importantly,":[203],"provides":[205],"fast":[206],"scalable":[208],"minimal":[211],"memory":[212],"usage.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}