{"id":"https://openalex.org/W4414540896","doi":"https://doi.org/10.3390/e27101011","title":"MAJATNet: A Lightweight Multi-Scale Attention Joint Adaptive Adversarial Transfer Network for Bearing Unsupervised Cross-Domain Fault Diagnosis","display_name":"MAJATNet: A Lightweight Multi-Scale Attention Joint Adaptive Adversarial Transfer Network for Bearing Unsupervised Cross-Domain Fault Diagnosis","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W4414540896","doi":"https://doi.org/10.3390/e27101011","pmid":"https://pubmed.ncbi.nlm.nih.gov/41148969"},"language":"en","primary_location":{"id":"doi:10.3390/e27101011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101011","pdf_url":"https://www.mdpi.com/1099-4300/27/10/1011/pdf?version=1758897344","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","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/1099-4300/27/10/1011/pdf?version=1758897344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101939042","display_name":"Song Lin","orcid":"https://orcid.org/0000-0002-7743-4160"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Song","raw_affiliation_strings":["School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]},{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957788","display_name":"Yanlin Zhao","orcid":"https://orcid.org/0000-0002-1506-351X"},"institutions":[{"id":"https://openalex.org/I4210108370","display_name":"Panzhihua University","ror":"https://ror.org/01h8y6y39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108370"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlin Zhao","raw_affiliation_strings":["School of Economics and Management, Panzhihua University, Panzhihua 617000, China"],"raw_orcid":"https://orcid.org/0000-0002-1506-351X","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Panzhihua University, Panzhihua 617000, China","institution_ids":["https://openalex.org/I4210108370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621282","display_name":"Junjie He","orcid":"https://orcid.org/0000-0003-4746-2870"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie He","raw_affiliation_strings":["School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101443984","display_name":"Simin Wang","orcid":"https://orcid.org/0000-0001-6409-7700"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simin Wang","raw_affiliation_strings":["School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Boyang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Zhong","raw_affiliation_strings":["School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455849","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-5982-2303"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Chengdu Technological University, Yibin 644012, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100455849"],"corresponding_institution_ids":["https://openalex.org/I4401041622","https://openalex.org/I44468530"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13182073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"10","first_page":"1011","last_page":"1011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6855000257492065},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5570999979972839},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5523999929428101},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.545199990272522},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5407999753952026},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5152000188827515},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.491100013256073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851999998092651},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6855000257492065},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5570999979972839},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497000217437744},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.545199990272522},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39980000257492065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2768999934196472}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e27101011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101011","pdf_url":"https://www.mdpi.com/1099-4300/27/10/1011/pdf?version=1758897344","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:41148969","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41148969","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2add309a4f294174b4ca98447078ad44","is_oa":true,"landing_page_url":"https://doaj.org/article/2add309a4f294174b4ca98447078ad44","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":"Entropy, Vol 27, Iss 10, p 1011 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11367442","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12564828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e27101011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101011","pdf_url":"https://www.mdpi.com/1099-4300/27/10/1011/pdf?version=1758897344","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5361318579","display_name":null,"funder_award_id":"24NSFSC7602","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414540896.pdf","grobid_xml":"https://content.openalex.org/works/W4414540896.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W2010619950","https://openalex.org/W2164943005","https://openalex.org/W2194775991","https://openalex.org/W2485614840","https://openalex.org/W2549139847","https://openalex.org/W2595206487","https://openalex.org/W2738563279","https://openalex.org/W2903917280","https://openalex.org/W2939535241","https://openalex.org/W2945834994","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2969902687","https://openalex.org/W2993397516","https://openalex.org/W3012040475","https://openalex.org/W3021632667","https://openalex.org/W3025171967","https://openalex.org/W3031466690","https://openalex.org/W3034552520","https://openalex.org/W3088297322","https://openalex.org/W3096831136","https://openalex.org/W3137617768","https://openalex.org/W3138762281","https://openalex.org/W3158191900","https://openalex.org/W3201753566","https://openalex.org/W3211973648","https://openalex.org/W3217483241","https://openalex.org/W4214719220","https://openalex.org/W4225016315","https://openalex.org/W4281733075","https://openalex.org/W4282983125","https://openalex.org/W4283592273","https://openalex.org/W4285033535","https://openalex.org/W4285213033","https://openalex.org/W4294203742","https://openalex.org/W4296225832","https://openalex.org/W4378175608","https://openalex.org/W4378515002","https://openalex.org/W4386193242","https://openalex.org/W4386266029","https://openalex.org/W4386317493","https://openalex.org/W4390044439","https://openalex.org/W4391770893","https://openalex.org/W4392935251","https://openalex.org/W4395448809","https://openalex.org/W4398776830","https://openalex.org/W4400321670","https://openalex.org/W4401490053","https://openalex.org/W4401511180","https://openalex.org/W4402123462","https://openalex.org/W4402626668","https://openalex.org/W4402978149","https://openalex.org/W4403330442","https://openalex.org/W4409258355","https://openalex.org/W4409316836","https://openalex.org/W4413578428"],"related_works":[],"abstract_inverted_index":{"Rolling":[0],"bearings":[1,24],"are":[2,144],"essential":[3],"for":[4,170],"modern":[5],"mechanical":[6],"equipment":[7],"and":[8,92,105,140],"serve":[9],"in":[10,23,32],"various":[11],"operational":[12],"environments.":[13],"This":[14],"paper":[15],"addresses":[16],"the":[17,98,128,158,164],"challenge":[18],"of":[19,90,102,142,166],"vibration":[20],"data":[21,89],"discrepancies":[22],"across":[25],"different":[26],"operating":[27],"conditions,":[28],"which":[29,126],"often":[30],"results":[31,155],"inaccurate":[33],"fault":[34,148,168],"diagnosis.":[35],"To":[36],"tackle":[37],"this":[38],"related":[39],"limitation,":[40],"a":[41,59,78,113,121],"novel":[42],"lightweight":[43],"multi-scale":[44,80],"attention-based":[45],"joint":[46,99,114],"adaptive":[47],"adversarial":[48,123],"transfer":[49],"network,":[50],"termed":[51],"MAJATNet,":[52],"is":[53],"developed.":[54],"The":[55,73,138],"proposed":[56,159],"network":[57,62],"integrates":[58,112],"feature":[60,74],"extraction":[61,75],"innovation":[63],"module":[64,76],"with":[65,120],"an":[66],"improved":[67],"loss":[68,96,111,119],"function,":[69],"namely":[70],"IJA":[71,95,110],"loss.":[72],"employs":[77],"one-dimensional":[79],"attention":[81],"residual":[82],"structure":[83],"to":[84],"derive":[85],"characteristics":[86],"from":[87],"monitoring":[88],"source":[91],"target":[93],"domains.":[94,109],"evaluates":[97],"distribution":[100],"discrepancy":[101,117],"high-dimensional":[103],"features":[104,133],"labels":[106],"between":[107],"these":[108],"maximum":[115],"mean":[116],"(JMMD)":[118],"domain":[122],"learning":[124],"loss,":[125],"directs":[127],"model's":[129],"focus":[130],"toward":[131],"categorical":[132],"while":[134],"minimizing":[135],"domain-specific":[136],"features.":[137],"performance":[139],"advantages":[141],"MAJATNet":[143],"demonstrated":[145],"through":[146],"cross-domain":[147,167],"diagnosis":[149,169],"experiments":[150],"using":[151],"bearing":[152],"datasets.":[153],"Experimental":[154],"show":[156],"that":[157],"method":[160],"can":[161],"significantly":[162],"improve":[163],"accuracy":[165],"bearings.":[171]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}