{"id":"https://openalex.org/W2145420220","doi":"https://doi.org/10.3390/s130911660","title":"Video-Based Fingerprint Verification","display_name":"Video-Based Fingerprint Verification","publication_year":2013,"publication_date":"2013-09-04","ids":{"openalex":"https://openalex.org/W2145420220","doi":"https://doi.org/10.3390/s130911660","mag":"2145420220","pmid":"https://pubmed.ncbi.nlm.nih.gov/24008283"},"language":"en","primary_location":{"id":"doi:10.3390/s130911660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s130911660","pdf_url":"https://www.mdpi.com/1424-8220/13/9/11660/pdf?version=1403333582","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/1424-8220/13/9/11660/pdf?version=1403333582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075392991","display_name":"Qin Wei","orcid":"https://orcid.org/0000-0002-5022-776X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338994","display_name":"Lili Liu","orcid":"https://orcid.org/0000-0002-7273-7058"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Liu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100672590"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.3676,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67016729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":"9","first_page":"11660","last_page":"11686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/fingerprint","display_name":"Fingerprint (computing)","score":0.8362584114074707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773630619049072},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7192187905311584},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6781972646713257},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.6495916247367859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211193203926086},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.6181345582008362},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6079675555229187},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.567410945892334},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5017852783203125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47114458680152893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47029492259025574},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.44387584924697876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16548600792884827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1423933506011963},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10851988196372986}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8362584114074707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773630619049072},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7192187905311584},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6781972646713257},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.6495916247367859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211193203926086},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.6181345582008362},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6079675555229187},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.567410945892334},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5017852783203125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47114458680152893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47029492259025574},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.44387584924697876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16548600792884827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1423933506011963},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10851988196372986},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003878","descriptor_name":"Dermatoglyphics","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D003878","descriptor_name":"Dermatoglyphics","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D003878","descriptor_name":"Dermatoglyphics","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s130911660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s130911660","pdf_url":"https://www.mdpi.com/1424-8220/13/9/11660/pdf?version=1403333582","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:24008283","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24008283","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:europepmc.org:2811006","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3821367","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"},{"id":"pmh:oai:doaj.org/article:f187c13751294498b8e250ab4bfb9430","is_oa":true,"landing_page_url":"https://doaj.org/article/f187c13751294498b8e250ab4bfb9430","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 13, Iss 9, Pp 11660-11686 (2013)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/13/9/11660/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s130911660","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s130911660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s130911660","pdf_url":"https://www.mdpi.com/1424-8220/13/9/11660/pdf?version=1403333582","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":[],"awards":[],"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/W2145420220.pdf","grobid_xml":"https://content.openalex.org/works/W2145420220.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W197203688","https://openalex.org/W1479922031","https://openalex.org/W1498581672","https://openalex.org/W1519435346","https://openalex.org/W1981439490","https://openalex.org/W1982107991","https://openalex.org/W1993921692","https://openalex.org/W2014470493","https://openalex.org/W2021170631","https://openalex.org/W2034473161","https://openalex.org/W2045678056","https://openalex.org/W2048425530","https://openalex.org/W2083867982","https://openalex.org/W2093354131","https://openalex.org/W2096226949","https://openalex.org/W2104145305","https://openalex.org/W2107756069","https://openalex.org/W2109131581","https://openalex.org/W2127717018","https://openalex.org/W2129631732","https://openalex.org/W2133937536","https://openalex.org/W2136721862","https://openalex.org/W2136885397","https://openalex.org/W2137441863","https://openalex.org/W2145624469","https://openalex.org/W2150146141","https://openalex.org/W2152535543","https://openalex.org/W2153063803","https://openalex.org/W2153720729","https://openalex.org/W2158359334","https://openalex.org/W2170603111","https://openalex.org/W3152157565","https://openalex.org/W4230579564","https://openalex.org/W4232526681","https://openalex.org/W4302441858","https://openalex.org/W6631147972","https://openalex.org/W6741993272"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2146126086","https://openalex.org/W2399348932","https://openalex.org/W2187019478","https://openalex.org/W2051294001","https://openalex.org/W2588889495","https://openalex.org/W1502375461","https://openalex.org/W2136721862","https://openalex.org/W1988583494","https://openalex.org/W2292987876"],"abstract_inverted_index":{"Conventional":[0],"fingerprint":[1,11,33,42,79,86],"verification":[2],"systems":[3],"use":[4],"only":[5],"static":[6,75],"information.":[7],"In":[8],"this":[9],"paper,":[10],"videos,":[12],"which":[13],"contain":[14],"dynamic":[15,73],"information,":[16],"are":[17,23,64,88,142],"utilized":[18],"for":[19],"verification.":[20],"Fingerprint":[21],"videos":[22,87],"acquired":[24],"by":[25,91],"the":[26,36,45,93,102,115,123,131,148,156,165,175,181,193],"same":[27,46,157],"capture":[28],"device":[29],"that":[30,48,101,164],"acquires":[31],"conventional":[32,124,149],"images,":[34],"and":[35,56,61,66,74,180],"user":[37],"experience":[38],"of":[39,49,71,96,111,134,140],"providing":[40,50],"a":[41,51,108,185],"video":[43],"is":[44,198],"as":[47],"single":[52,125],"impression.":[53],"After":[54],"preprocessing":[55],"aligning":[57],"processes,":[58],"\"inside":[59],"similarity\"":[60,63],"\"outside":[62],"defined":[65],"calculated":[67,90],"to":[68,107,122,171],"take":[69],"advantage":[70],"both":[72,153],"information":[76],"contained":[77],"in":[78,114,120],"videos.":[80],"Match":[81],"scores":[82],"between":[83],"two":[84,94],"matching":[85],"then":[89],"combining":[92],"kinds":[95],"similarity.":[97],"Experimental":[98],"results":[99,162],"show":[100],"proposed":[103,166,182],"video-based":[104,167],"method":[105,136,145,168,183],"leads":[106],"relative":[109],"reduction":[110],"60":[112],"percent":[113],"equal":[116],"error":[117],"rate":[118,190,196],"(EER)":[119],"comparison":[121],"impression-based":[126],"method.":[127],"We":[128],"also":[129],"analyze":[130],"time":[132,158],"complexity":[133],"our":[135],"when":[137,192],"different":[138],"combinations":[139],"strategies":[141],"used.":[143],"Our":[144],"still":[146],"outperforms":[147],"method,":[150,179],"even":[151],"if":[152],"methods":[154],"have":[155],"complexity.":[159],"Finally,":[160],"experimental":[161],"demonstrate":[163],"can":[169],"lead":[170],"better":[172],"accuracy":[173],"than":[174],"multiple":[176],"impressions":[177],"fusion":[178],"has":[184],"much":[186],"lower":[187],"false":[188,194],"acceptance":[189],"(FAR)":[191],"rejection":[195],"(FRR)":[197],"quite":[199],"low.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}