{"id":"https://openalex.org/W4295533106","doi":"https://doi.org/10.3390/s22186837","title":"A Novel Air-Door Opening and Closing Identification Algorithm Using a Single Wind-Velocity Sensor","display_name":"A Novel Air-Door Opening and Closing Identification Algorithm Using a Single Wind-Velocity Sensor","publication_year":2022,"publication_date":"2022-09-09","ids":{"openalex":"https://openalex.org/W4295533106","doi":"https://doi.org/10.3390/s22186837","pmid":"https://pubmed.ncbi.nlm.nih.gov/36146187"},"language":"en","primary_location":{"id":"doi:10.3390/s22186837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186837","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6837/pdf?version=1663126036","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/1424-8220/22/18/6837/pdf?version=1663126036","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064866214","display_name":"Wentian Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentian Shang","raw_affiliation_strings":["College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110376673","display_name":"Lijun Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Deng","raw_affiliation_strings":["College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086864360","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0002-5076-6421"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao 125105, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110376673"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7334,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68020833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"22","issue":"18","first_page":"6837","last_page":"6837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11284","display_name":"Coal Properties and Utilization","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11284","display_name":"Coal Properties and Utilization","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"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/T11357","display_name":"Risk and Safety Analysis","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.8817148804664612},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6005834937095642},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5374854803085327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4881454408168793},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47472891211509705},{"id":"https://openalex.org/keywords/airflow","display_name":"Airflow","score":0.4581124186515808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43298986554145813},{"id":"https://openalex.org/keywords/wind-tunnel","display_name":"Wind tunnel","score":0.4311748147010803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.393303781747818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3576464056968689},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34786784648895264},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.24895921349525452},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08604368567466736}],"concepts":[{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.8817148804664612},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6005834937095642},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5374854803085327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4881454408168793},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47472891211509705},{"id":"https://openalex.org/C116067010","wikidata":"https://www.wikidata.org/wiki/Q4698686","display_name":"Airflow","level":2,"score":0.4581124186515808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43298986554145813},{"id":"https://openalex.org/C100086909","wikidata":"https://www.wikidata.org/wiki/Q193010","display_name":"Wind tunnel","level":2,"score":0.4311748147010803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.393303781747818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3576464056968689},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34786784648895264},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.24895921349525452},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08604368567466736},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014919","descriptor_name":"Wind","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014919","descriptor_name":"Wind","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014919","descriptor_name":"Wind","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22186837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186837","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6837/pdf?version=1663126036","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:36146187","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36146187","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2386b2c2ad3647a898d0cbf50c132b11","is_oa":true,"landing_page_url":"https://doaj.org/article/2386b2c2ad3647a898d0cbf50c132b11","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 18, p 6837 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/18/6837/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22186837","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 18; Pages: 6837","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9503651","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9503651","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22186837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186837","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6837/pdf?version=1663126036","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G8992056914","display_name":null,"funder_award_id":"51904143","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/W4295533106.pdf","grobid_xml":"https://content.openalex.org/works/W4295533106.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2120154244","https://openalex.org/W2385446273","https://openalex.org/W2554218848","https://openalex.org/W2619866035","https://openalex.org/W2727698304","https://openalex.org/W2770937285","https://openalex.org/W2804592524","https://openalex.org/W2805028201","https://openalex.org/W2807814894","https://openalex.org/W2886936864","https://openalex.org/W2891044424","https://openalex.org/W2899736209","https://openalex.org/W2901358399","https://openalex.org/W2904926301","https://openalex.org/W2908969754","https://openalex.org/W2921676045","https://openalex.org/W2923577799","https://openalex.org/W2951692547","https://openalex.org/W2981372033","https://openalex.org/W3000918239","https://openalex.org/W3003300927","https://openalex.org/W3009771926","https://openalex.org/W3011198077","https://openalex.org/W3014022720","https://openalex.org/W3024303051","https://openalex.org/W3116250684","https://openalex.org/W3118730513","https://openalex.org/W3124380104","https://openalex.org/W3130174577","https://openalex.org/W3152792492","https://openalex.org/W3160392467","https://openalex.org/W3167039906","https://openalex.org/W3185614441","https://openalex.org/W3189787733","https://openalex.org/W3206824631","https://openalex.org/W4213283474","https://openalex.org/W4220959928","https://openalex.org/W4221056102","https://openalex.org/W4224261680","https://openalex.org/W4224309330","https://openalex.org/W4226506636","https://openalex.org/W4280632898","https://openalex.org/W4281606527","https://openalex.org/W4281890182","https://openalex.org/W6776990941","https://openalex.org/W6810318709","https://openalex.org/W7032906569"],"related_works":["https://openalex.org/W2585268847","https://openalex.org/W2015491755","https://openalex.org/W2018932204","https://openalex.org/W2184016840","https://openalex.org/W4388698576","https://openalex.org/W2606608188","https://openalex.org/W2381873111","https://openalex.org/W2116422677","https://openalex.org/W2517007886","https://openalex.org/W2383994331"],"abstract_inverted_index":{"The":[0,179],"air-door":[1,36,76,150,206,220,237,256],"is":[2,90,120,196],"an":[3,155],"important":[4],"device":[5],"for":[6,74,198],"adjusting":[7],"the":[8,29,35,48,54,94,97,109,127,134,138,144,149,169,172,183,190,201,212,219,232,248,255],"air":[9],"flow":[10],"in":[11,47,53,154],"a":[12,19,72,81,116,159,175],"mine.":[13],"It":[14],"opens":[15],"and":[16,25,38,78,101,108,152,208,215,222,228,239,241,251,258,264],"closes":[17],"within":[18],"short":[20],"time":[21,60],"owing":[22],"to":[23,44,63,92,122,167],"transportation":[24],"other":[26,242],"factors.":[27],"Although":[28],"switching":[30],"sensor":[31,56],"alone":[32],"can":[33,61],"identify":[34],"opening":[37,77,151,207,221,238,257],"closing,":[39],"it":[40,43],"cannot":[41],"relate":[42],"abnormal":[45],"fluctuations":[46,52],"wind":[49],"speed.":[50],"Large":[51],"wind-velocity":[55,83],"data":[57,98,202,233],"during":[58],"this":[59,68],"lead":[62],"false":[64],"alarms.":[65],"To":[66],"overcome":[67],"problem,":[69],"we":[70],"propose":[71],"method":[73],"identifying":[75],"closing":[79,153,209,223,240,259],"using":[80,106,137,174],"single":[82],"sensor.":[84],"A":[85],"multi-scale":[86],"sliding":[87],"window":[88],"(MSSW)":[89],"employed":[91],"divide":[93],"samples.":[95],"Then,":[96],"global":[99],"features":[100,103],"fluctuation":[102],"are":[104,130,225,261],"extracted":[105],"statistics":[107],"discrete":[110],"wavelet":[111],"transform":[112],"(DWT).":[113],"In":[114,200,231],"addition,":[115],"machine":[117],"learning":[118],"model":[119],"adopted":[121],"classify":[123],"each":[124],"sample.":[125],"Further,":[126],"identification":[128,224,260],"results":[129,136,180],"selected":[131,197],"by":[132,148],"merging":[133],"classification":[135],"non-maximum":[139],"suppression":[140],"method.":[141],"Finally,":[142],"considering":[143],"safety":[145],"accidents":[146],"caused":[147],"actual":[156],"production":[157,244],"mine,":[158],"large":[160],"number":[161],"of":[162,171,205,218,236,254],"experiments":[163],"were":[164],"carried":[165],"out":[166],"verify":[168],"effect":[170],"algorithm":[173,185],"simulated":[176],"tunnel":[177],"model.":[178],"show":[181],"that":[182],"proposed":[184],"exhibits":[186],"superior":[187],"performance":[188],"when":[189],"gradient":[191],"boosting":[192],"decision":[193],"tree":[194],"(GBDT)":[195],"classification.":[199],"set":[203,234],"composed":[204,235],"experimental":[210,246],"data,":[211,247],"accuracy,":[213,249],"precision,":[214,250],"recall":[216,252],"rates":[217,253],"91.89%,":[226],"93.07%,":[227],"91.07%,":[229],"respectively.":[230,266],"mine":[243],"activity":[245],"89.61%,":[262],"90.31%,":[263],"88.39%,":[265]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}