{"id":"https://openalex.org/W4408473831","doi":"https://doi.org/10.1007/s11222-025-10596-9","title":"Estimation and model selection for finite mixtures of Tukey\u2019s g- &amp;-h distributions","display_name":"Estimation and model selection for finite mixtures of Tukey\u2019s g- &amp;-h distributions","publication_year":2025,"publication_date":"2025-03-15","ids":{"openalex":"https://openalex.org/W4408473831","doi":"https://doi.org/10.1007/s11222-025-10596-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/40099197"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-025-10596-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10596-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049462314","display_name":"Tingting Zhan","orcid":"https://orcid.org/0000-0001-9971-4844"},"institutions":[{"id":"https://openalex.org/I149251103","display_name":"Thomas Jefferson University","ror":"https://ror.org/00ysqcn41","country_code":"US","type":"education","lineage":["https://openalex.org/I149251103"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tingting Zhan","raw_affiliation_strings":["Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","institution_ids":["https://openalex.org/I149251103"]},{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA","institution_ids":["https://openalex.org/I149251103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005083905","display_name":"Misung Yi","orcid":"https://orcid.org/0000-0002-4007-5408"},"institutions":[{"id":"https://openalex.org/I149251103","display_name":"Thomas Jefferson University","ror":"https://ror.org/00ysqcn41","country_code":"US","type":"education","lineage":["https://openalex.org/I149251103"]},{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Misung Yi","raw_affiliation_strings":["Department of Statistics and Data Science, College of Software Convergence, Dankook University, Yongin-si, Gyeonggi-do Republic of Korea","Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, College of Software Convergence, Dankook University, Yongin-si, Gyeonggi-do Republic of Korea","institution_ids":["https://openalex.org/I89015989"]},{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","institution_ids":["https://openalex.org/I149251103"]},{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA","institution_ids":["https://openalex.org/I149251103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002313413","display_name":"Amy R. Peck","orcid":"https://orcid.org/0000-0003-3221-9704"},"institutions":[{"id":"https://openalex.org/I149251103","display_name":"Thomas Jefferson University","ror":"https://ror.org/00ysqcn41","country_code":"US","type":"education","lineage":["https://openalex.org/I149251103"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy R. Peck","raw_affiliation_strings":["Division of Cancer Biology, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cancer Biology, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, USA","institution_ids":["https://openalex.org/I149251103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065798455","display_name":"Hallgeir Rui","orcid":"https://orcid.org/0000-0002-8778-261X"},"institutions":[{"id":"https://openalex.org/I149251103","display_name":"Thomas Jefferson University","ror":"https://ror.org/00ysqcn41","country_code":"US","type":"education","lineage":["https://openalex.org/I149251103"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hallgeir Rui","raw_affiliation_strings":["Division of Cancer Biology, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cancer Biology, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, USA","institution_ids":["https://openalex.org/I149251103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022471130","display_name":"Inna Chervoneva","orcid":"https://orcid.org/0000-0002-9104-4505"},"institutions":[{"id":"https://openalex.org/I149251103","display_name":"Thomas Jefferson University","ror":"https://ror.org/00ysqcn41","country_code":"US","type":"education","lineage":["https://openalex.org/I149251103"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Inna Chervoneva","raw_affiliation_strings":["Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA 19107 USA","institution_ids":["https://openalex.org/I149251103"]},{"raw_affiliation_string":"Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, 130\u00a0S. 9th Street, 17th Floor, Philadelphia, PA, 19107, USA","institution_ids":["https://openalex.org/I149251103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022471130","https://openalex.org/A5049462314"],"corresponding_institution_ids":["https://openalex.org/I149251103"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":1.2644,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82928789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"35","issue":"3","first_page":"67","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7249752283096313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7035086750984192},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.6797780990600586},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6273126602172852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6254783272743225},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.612409234046936},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6022404432296753},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.5393403172492981},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42132464051246643}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7249752283096313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7035086750984192},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.6797780990600586},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6273126602172852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6254783272743225},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.612409234046936},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6022404432296753},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.5393403172492981},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42132464051246643},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-025-10596-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10596-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmid:40099197","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40099197","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":"Statistics and computing","raw_type":null},{"id":"pmh:oai:europepmc.org:10726282","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11910465","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11910465/pdf/11222_2025_Article_10596.pdf","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:10.1007/s11222-025-10596-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10596-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2108893697","display_name":null,"funder_award_id":"CA222847","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2463099297","display_name":null,"funder_award_id":"R01 CA222847","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G3114595351","display_name":null,"funder_award_id":"R01CA222847","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G3122417960","display_name":null,"funder_award_id":"R01 CA267549","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408473831.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W605692607","https://openalex.org/W1218518433","https://openalex.org/W1544434302","https://openalex.org/W1669115026","https://openalex.org/W1735309556","https://openalex.org/W1755019093","https://openalex.org/W1952261593","https://openalex.org/W1977556410","https://openalex.org/W1982914322","https://openalex.org/W1985622505","https://openalex.org/W2012628772","https://openalex.org/W2019695814","https://openalex.org/W2020158974","https://openalex.org/W2021879736","https://openalex.org/W2024641771","https://openalex.org/W2026628102","https://openalex.org/W2029479258","https://openalex.org/W2033076513","https://openalex.org/W2035886438","https://openalex.org/W2039615557","https://openalex.org/W2046941888","https://openalex.org/W2062247477","https://openalex.org/W2068993558","https://openalex.org/W2082630599","https://openalex.org/W2098439089","https://openalex.org/W2115098571","https://openalex.org/W2118502261","https://openalex.org/W2132352144","https://openalex.org/W2132886090","https://openalex.org/W2137971377","https://openalex.org/W2142635246","https://openalex.org/W2168175751","https://openalex.org/W2171074980","https://openalex.org/W2271304927","https://openalex.org/W2337490104","https://openalex.org/W2513489559","https://openalex.org/W2924412259","https://openalex.org/W2947209829","https://openalex.org/W3122509840","https://openalex.org/W3125892165","https://openalex.org/W3200640030","https://openalex.org/W4213286494","https://openalex.org/W4231665431","https://openalex.org/W4233409427","https://openalex.org/W4248104870","https://openalex.org/W4300672471"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W4390742338","https://openalex.org/W2037499216"],"abstract_inverted_index":{"Abstract":[0],"A":[1,232],"finite":[2,107],"mixture":[3,77,96,134,217],"of":[4,18,30,39,44,75,85,97,129,146,172,199,240,252,254,273,288],"distributions":[5,43,66,78,104],"is":[6,12,26,61,121,176],"a":[7,50,62,86,95,122,140,157,163,205,210],"popular":[8],"statistical":[9],"model,":[10],"which":[11],"especially":[13],"meaningful":[14],"when":[15],"the":[16,83,144,147,181,185,196,225,241],"population":[17],"interest":[19],"may":[20],"include":[21,79],"distinct":[22],"subpopulations.":[23],"This":[24],"work":[25],"motivated":[27],"by":[28],"analysis":[29],"protein":[31,46,276],"expression":[32,47],"levels":[33,48],"quantified":[34],"using":[35],"immunofluorescence":[36],"immunohistochemistry":[37],"assays":[38],"human":[40],"tissues.":[41],"The":[42,260],"cellular":[45,271],"in":[49,67,133,224,277],"tissue":[51],"often":[52],"exhibit":[53],"multimodality,":[54],"skewness":[55,130],"and":[56,112,131,187,190,219,248,281],"heavy":[57],"tails,":[58],"but":[59],"there":[60],"substantial":[63],"variability":[64],"between":[65,184],"different":[68,71],"tissues":[69],"from":[70,195],"subjects,":[72],"while":[73],"some":[74],"these":[76],"components":[80],"consistent":[81],"with":[82,109],"assumption":[84],"normal":[87,137],"distribution.":[88],"To":[89],"accommodate":[90],"such":[91,173],"diversity,":[92],"we":[93,161],"propose":[94,162],"4-parameter":[98],"Tukey\u2019s":[99,115,148,212,242,261],"g":[100,116,149,213,243,262],"-":[101,117,150,214,244,263],"&amp;-":[102,118,151,215,245,264],"h":[103,119,152,216,246,265],"for":[105,170],"fitting":[106],"mixtures":[108,153,247,253,266],"both":[110],"Gaussian":[111],"non-Gaussian":[113],"components.":[114],"distribution":[120,138],"flexible":[123],"model":[124,218,270],"that":[125],"allows":[126],"variable":[127],"degree":[128],"kurtosis":[132],"components,":[135],"including":[136],"as":[139,286],"particular":[141],"case.":[142],"Since":[143],"likelihood":[145],"does":[154],"not":[155],"have":[156,203],"closed":[158],"analytical":[159],"form,":[160],"quantile":[164],"least":[165],"Mahalanobis":[166,182],"distance":[167,183],"(QLMD)":[168],"estimator":[169,179],"parameters":[171],"mixtures.":[174],"QLMD":[175],"an":[177],"indirect":[178,200],"minimizing":[180],"sample":[186],"model-based":[188],"quantiles,":[189],"its":[191],"asymptotic":[192],"properties":[193],"follow":[194],"general":[197],"theory":[198],"estimation.":[201],"We":[202],"developed":[204],"stepwise":[206],"algorithm":[207],"to":[208,237,250,269],"select":[209],"parsimonious":[211],"implemented":[220],"all":[221],"proposed":[222],"methods":[223],"R":[226],"package":[227],"QuantileGH":[228],"available":[229],"on":[230],"CRAN.":[231],"simulation":[233],"study":[234],"was":[235],"conducted":[236],"evaluate":[238],"performance":[239,251],"compare":[249],"skew-normal":[255],"or":[256],"skew-":[257],"t":[258],"distributions.":[259],"were":[267],"applied":[268],"expressions":[272],"Cyclin":[274],"D1":[275],"breast":[278],"cancer":[279],"tissues,":[280],"resulting":[282],"parameter":[283],"estimates":[284],"evaluated":[285],"predictors":[287],"progression-free":[289],"survival.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-03-15T00:00:00"}
