{"id":"https://openalex.org/W2146054288","doi":"https://doi.org/10.1155/2013/645921","title":"Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data","display_name":"Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2146054288","doi":"https://doi.org/10.1155/2013/645921","mag":"2146054288","pmid":"https://pubmed.ncbi.nlm.nih.gov/24171045"},"language":"en","primary_location":{"id":"doi:10.1155/2013/645921","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/645921","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/645921.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2013/645921.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100318886","display_name":"Lijun Wang","orcid":"https://orcid.org/0000-0002-8914-1031"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijun Wang","raw_affiliation_strings":["China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445937","display_name":"Yu Lei","orcid":"https://orcid.org/0000-0003-1417-0206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Lei","raw_affiliation_strings":["China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081266619","display_name":"Ying Zeng","orcid":"https://orcid.org/0000-0002-5555-6036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Zeng","raw_affiliation_strings":["China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359023","display_name":"Li Tong","orcid":"https://orcid.org/0000-0002-4197-7999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Tong","raw_affiliation_strings":["China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089425067","display_name":"Bin Yan","orcid":"https://orcid.org/0000-0001-8268-559X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bin Yan","raw_affiliation_strings":["China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China"],"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089425067"],"corresponding_institution_ids":[],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.6079,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.68258695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2013","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7796127796173096},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.769848108291626},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7373798489570618},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7263598442077637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7159264087677002},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7100880742073059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855626702308655},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.589719831943512},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5759437084197998},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5465779304504395},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5427804589271545},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5362331867218018},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3912144601345062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2470703423023224},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1148824393749237}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7796127796173096},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.769848108291626},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7373798489570618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7263598442077637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7159264087677002},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7100880742073059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855626702308655},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.589719831943512},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5759437084197998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465779304504395},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5427804589271545},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5362331867218018},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3912144601345062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2470703423023224},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1148824393749237},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2013/645921","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/645921","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/645921.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:24171045","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24171045","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:104b84ebd9dd4b23872262799c0d01a1","is_oa":true,"landing_page_url":"https://doaj.org/article/104b84ebd9dd4b23872262799c0d01a1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2013 (2013)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2797415","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3793313","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:10.1155/2013/645921","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/645921","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/645921.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2146054288.pdf","grobid_xml":"https://content.openalex.org/works/W2146054288.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1589387978","https://openalex.org/W1965333043","https://openalex.org/W1992047027","https://openalex.org/W2015866962","https://openalex.org/W2027913322","https://openalex.org/W2036084760","https://openalex.org/W2039487738","https://openalex.org/W2048631316","https://openalex.org/W2067150211","https://openalex.org/W2075026875","https://openalex.org/W2089632738","https://openalex.org/W2093793583","https://openalex.org/W2106664807","https://openalex.org/W2109883003","https://openalex.org/W2112082324","https://openalex.org/W2123923307","https://openalex.org/W2129158941","https://openalex.org/W2141188346","https://openalex.org/W2143426320","https://openalex.org/W2158485497","https://openalex.org/W2158842386","https://openalex.org/W2159383776","https://openalex.org/W2171178117","https://openalex.org/W2464234113","https://openalex.org/W2485403294"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2803255289","https://openalex.org/W3027020613","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W2016533837","https://openalex.org/W2550734047","https://openalex.org/W2176526134"],"abstract_inverted_index":{"Brain":[0],"decoding":[1],"with":[2,107,135],"functional":[3],"magnetic":[4],"resonance":[5],"imaging":[6],"(fMRI)":[7],"requires":[8],"analysis":[9,16,65,83,116],"of":[10,29,52,66,73],"complex,":[11],"multivariate":[12,94,120,129],"data.":[13],"Multivoxel":[14],"pattern":[15,37,43],"(MVPA)":[17],"has":[18],"been":[19],"widely":[20],"used":[21],"in":[22,62],"recent":[23],"years.":[24],"MVPA":[25,53],"treats":[26],"the":[27,63,71,74,82,113,144],"activation":[28],"multiple":[30],"voxels":[31],"from":[32],"fMRI":[33,67,125],"data":[34,126],"as":[35,117],"a":[36,49,118],"and":[38],"decodes":[39],"brain":[40],"states":[41],"using":[42],"classification":[44,64],"methods.":[45],"Feature":[46],"selection":[47,122],"is":[48],"critical":[50],"procedure":[51],"because":[54],"it":[55],"decides":[56],"which":[57],"features":[58,103,106,134],"will":[59],"be":[60,78],"included":[61],"data,":[68],"thereby":[69,138],"improving":[70],"performance":[72],"classifier.":[75],"Features":[76],"can":[77],"selected":[79],"by":[80,89],"limiting":[81],"to":[84,132],"specific":[85],"anatomical":[86],"regions":[87],"or":[88,93,104],"computing":[90],"univariate":[91],"(voxel-wise)":[92],"statistics.":[95],"However,":[96],"these":[97],"methods":[98],"either":[99],"discard":[100],"some":[101],"informative":[102],"select":[105],"redundant":[108,136],"information.":[109,146],"This":[110,128],"paper":[111],"introduces":[112],"principal":[114],"feature":[115,121],"novel":[119],"method":[123],"for":[124],"processing.":[127],"approach":[130],"aims":[131],"remove":[133],"information,":[137],"selecting":[139],"fewer":[140],"features,":[141],"while":[142],"retaining":[143],"most":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}