{"id":"https://openalex.org/W4410188285","doi":"https://doi.org/10.1007/s40747-025-01917-6","title":"Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics","display_name":"Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410188285","doi":"https://doi.org/10.1007/s40747-025-01917-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01917-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01917-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01917-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01917-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022953025","display_name":"Esther Stacy E. B. Aggrey","orcid":"https://orcid.org/0000-0002-1657-7774"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Esther Stacy E. B. Aggrey","raw_affiliation_strings":["School of Information and Software Engineering, Chengdu, 610054, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, Chengdu, 610054, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qin Zhen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zhen","raw_affiliation_strings":["School of Information and Software Engineering, Chengdu, 610054, China","The Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, Chengdu, 610054, China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"The Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012183652","display_name":"Seth Larweh Kodjiku","orcid":"https://orcid.org/0000-0003-2871-5860"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210138580","display_name":"Zhejiang Institute of Science and Technology Information","ror":"https://ror.org/04gq2fa58","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210138580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Seth Larweh Kodjiku","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou, 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I168879160","https://openalex.org/I4210138580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023611616","display_name":"Linda Delali Fiasam","orcid":"https://orcid.org/0000-0002-3075-9144"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linda Delali Fiasam","raw_affiliation_strings":["School of Information and Software Engineering, Chengdu, 610054, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, Chengdu, 610054, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032825912","display_name":"Collins Sey","orcid":"https://orcid.org/0000-0001-8225-6023"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Collins Sey","raw_affiliation_strings":["School of Information and Software Engineering, Chengdu, 610054, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, Chengdu, 610054, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023088189","display_name":"Chiagoziem C. Ukwuoma","orcid":"https://orcid.org/0000-0002-4532-6026"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chiagoziem C. Ukwuoma","raw_affiliation_strings":["College of Nuclear Technology and Automation Engineering, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Nuclear Technology and Automation Engineering, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035217566","display_name":"Evans Aidoo","orcid":"https://orcid.org/0000-0002-8682-8022"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Evans Aidoo","raw_affiliation_strings":["School of Computer Science and Informatics, Huddersfield, England, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Huddersfield, England, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081099408","display_name":"Emmanuel Osei-Mensah","orcid":"https://orcid.org/0000-0001-9369-8425"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Emmanuel Osei-Mensah","raw_affiliation_strings":["College of Nuclear Technology and Automation Engineering, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Nuclear Technology and Automation Engineering, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5022953025"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10854594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9681000113487244,"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/cad","display_name":"CAD","score":0.7680062055587769},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5402029156684875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5125102996826172},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5080485343933105},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4810788333415985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821817636489868},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23889058828353882},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.18090596795082092},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1394481360912323},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10552757978439331}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.7680062055587769},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5402029156684875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5125102996826172},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5080485343933105},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4810788333415985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821817636489868},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23889058828353882},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.18090596795082092},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1394481360912323},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10552757978439331},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-01917-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01917-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01917-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6769560f0ee145c0b7734e7103a31df7","is_oa":true,"landing_page_url":"https://doaj.org/article/6769560f0ee145c0b7734e7103a31df7","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":"Complex & Intelligent Systems, Vol 11, Iss 6, Pp 1-24 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01917-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01917-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01917-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G178373660","display_name":null,"funder_award_id":"ZYGX2022YGRH012","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G2287878041","display_name":null,"funder_award_id":"No.62372083, No.62072074, No.62076054, No.62027827, No.62002047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2586345122","display_name":null,"funder_award_id":"62076054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3352946381","display_name":null,"funder_award_id":"62072074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6625346443","display_name":null,"funder_award_id":"62372083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6829202501","display_name":null,"funder_award_id":"ZYGX2021YGLH212","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G7202444375","display_name":null,"funder_award_id":"62027827","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G748311442","display_name":null,"funder_award_id":"ZYGX2022YGRH01","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G7568062542","display_name":null,"funder_award_id":"62002047","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/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410188285.pdf","grobid_xml":"https://content.openalex.org/works/W4410188285.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2321189687","https://openalex.org/W2468387181","https://openalex.org/W2531088577","https://openalex.org/W2731899572","https://openalex.org/W2752782242","https://openalex.org/W2782485997","https://openalex.org/W2895992674","https://openalex.org/W2898206393","https://openalex.org/W2900047169","https://openalex.org/W2973665897","https://openalex.org/W3010981366","https://openalex.org/W3021378985","https://openalex.org/W3038187447","https://openalex.org/W3040676006","https://openalex.org/W3137246711","https://openalex.org/W4295025118","https://openalex.org/W4297798651","https://openalex.org/W4308160156","https://openalex.org/W4315567905","https://openalex.org/W4319067116","https://openalex.org/W4386261835","https://openalex.org/W4401824524","https://openalex.org/W6600558321"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W4287707480","https://openalex.org/W2275866607","https://openalex.org/W3198805702"],"abstract_inverted_index":{"The":[0,104,187],"early":[1,70],"detection":[2],"of":[3,72,107,137,142],"lung":[4,73,102,220],"diseases,":[5],"including":[6,202],"cancer,":[7],"is":[8,76],"essential":[9],"for":[10,67,115,218],"improving":[11],"patient":[12],"outcomes.":[13],"However,":[14],"traditional":[15],"diagnostic":[16,200,259],"approaches":[17],"and":[18,32,62,69,86,98,145,183,206,215,237,251,261],"standard":[19,180],"deep":[20],"learning":[21],"models":[22,177],"often":[23],"face":[24],"challenges":[25],"in":[26,35,40,78,101,199],"effectively":[27],"analyzing":[28],"the":[29,91,133,140,167,191,245],"complex":[30],"spatial":[31,96],"temporal":[33,87,152],"variations":[34],"medical":[36],"imaging":[37],"data,":[38],"particularly":[39],"CT":[41,156],"scans.":[42],"To":[43],"address":[44],"these":[45],"challenges,":[46],"we":[47,241],"propose":[48],"DC-CAD,":[49],"a":[50,126,213],"novel":[51],"hybrid":[52],"framework":[53],"that":[54],"integrates":[55],"Dilated":[56,112],"Capsule":[57,113,181],"Networks,":[58],"Channel-wise":[59,127],"Attention":[60,128],"Mechanisms,":[61],"Distanced":[63,147],"Long":[64],"Short-Term":[65],"Memory":[66],"precise":[68],"diagnosis":[71],"diseases.":[74],"DC-CAD":[75,170,211],"innovative":[77],"its":[79,235],"ability":[80],"to":[81,93,130,150,194,226,243,247,256],"combine":[82],"multi-scale":[83,117],"feature":[84],"extraction":[85],"dynamic":[88],"analysis,":[89],"enabling":[90],"model":[92,105,151,188,246],"capture":[94],"intricate":[95],"relationships":[97],"sequential":[99,155],"changes":[100],"tissue.":[103],"consists":[106],"three":[108],"main":[109],"contributions:":[110],"(1)":[111],"Networks":[114,182],"improved":[116],"context":[118],"aggregation,":[119],"which":[120],"captures":[121],"subtle":[122],"textural":[123],"variations,":[124],"(2)":[125],"Mechanism":[129],"focus":[131],"on":[132,166],"most":[134],"relevant":[135],"regions":[136],"interest,":[138],"minimizing":[139],"impact":[141],"irrelevant":[143],"features,":[144],"(3)":[146],"LSTM":[148],"layers":[149],"dependencies":[153],"across":[154],"scans,":[157],"providing":[158],"insights":[159],"into":[160],"disease":[161,221],"progression.":[162],"Through":[163],"comprehensive":[164],"experiments":[165],"LC25000":[168],"dataset,":[169],"achieves":[171],"99.52%":[172],"accuracy,":[173,204],"significantly":[174],"outperforming":[175],"baseline":[176],"such":[178],"as":[179,212],"Convolutional":[184],"Neural":[185],"Networks.":[186],"also":[189],"reduces":[190],"error":[192],"rate":[193],"0.48%,":[195],"demonstrating":[196],"substantial":[197],"improvements":[198],"performance,":[201],"increased":[203],"sensitivity,":[205],"specificity.":[207],"These":[208],"results":[209],"establish":[210],"powerful":[214],"reliable":[216],"tool":[217],"automated":[219],"diagnosis,":[222],"with":[223],"significant":[224],"potential":[225],"enhance":[227],"clinical":[228],"workflow":[229],"by":[230],"reducing":[231],"radiologists\u2019":[232],"workload":[233],"through":[234],"interpretability":[236],"efficiency.":[238],"Moving":[239],"forward,":[240],"plan":[242],"extend":[244],"handle":[248],"multi-modal":[249],"data":[250],"investigate":[252],"advanced":[253],"attention":[254],"mechanisms":[255],"further":[257],"improve":[258],"accuracy":[260],"generalizability.":[262]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}