{"id":"https://openalex.org/W4398249808","doi":"https://doi.org/10.1109/access.2024.3404644","title":"A Consensus Mechanism to Improve Prediction of Cortical Bone Properties Using Ultrafast Ultrasound Acquisition","display_name":"A Consensus Mechanism to Improve Prediction of Cortical Bone Properties Using Ultrafast Ultrasound Acquisition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398249808","doi":"https://doi.org/10.1109/access.2024.3404644"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3404644","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404644","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10537175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10537175.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009111131","display_name":"Hossam H. Sultan","orcid":"https://orcid.org/0000-0002-6958-7503"},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hossam H. Sultan","raw_affiliation_strings":["South Bank Applied Bioengineering Research, London South Bank University, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6958-7503","affiliations":[{"raw_affiliation_string":"South Bank Applied Bioengineering Research, London South Bank University, London, U.K","institution_ids":["https://openalex.org/I28257850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022937331","display_name":"Enrico Grisan","orcid":"https://orcid.org/0000-0002-7365-5652"},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Enrico Grisan","raw_affiliation_strings":["South Bank Applied Bioengineering Research, London South Bank University, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7365-5652","affiliations":[{"raw_affiliation_string":"South Bank Applied Bioengineering Research, London South Bank University, London, U.K","institution_ids":["https://openalex.org/I28257850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004923535","display_name":"Paul Dryburgh","orcid":"https://orcid.org/0000-0001-5389-6769"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Dryburgh","raw_affiliation_strings":["Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x2019;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5389-6769","affiliations":[{"raw_affiliation_string":"Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x2019;s College London, London, U.K","institution_ids":["https://openalex.org/I4210119896","https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020926615","display_name":"Laura Peralta","orcid":"https://orcid.org/0000-0002-3753-5370"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laura Peralta","raw_affiliation_strings":["Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x2019;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3753-5370","affiliations":[{"raw_affiliation_string":"Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x2019;s College London, London, U.K","institution_ids":["https://openalex.org/I4210119896","https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000045060","display_name":"Sevan Harput","orcid":"https://orcid.org/0000-0003-0491-4064"},"institutions":[{"id":"https://openalex.org/I28257850","display_name":"London South Bank University","ror":"https://ror.org/02vwnat91","country_code":"GB","type":"education","lineage":["https://openalex.org/I28257850"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sevan Harput","raw_affiliation_strings":["South Bank Applied Bioengineering Research, London South Bank University, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0491-4064","affiliations":[{"raw_affiliation_string":"South Bank Applied Bioengineering Research, London South Bank University, London, U.K","institution_ids":["https://openalex.org/I28257850"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0163,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76034051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"78148","last_page":"78160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10071","display_name":"Bone health and osteoporosis research","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6656308770179749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661903440952301},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6191164255142212},{"id":"https://openalex.org/keywords/ultrashort-pulse","display_name":"Ultrashort pulse","score":0.5033192038536072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47794654965400696},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3827372193336487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3738028407096863},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1195838451385498},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10454955697059631},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09715771675109863}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6656308770179749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661903440952301},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6191164255142212},{"id":"https://openalex.org/C178596936","wikidata":"https://www.wikidata.org/wiki/Q844471","display_name":"Ultrashort pulse","level":3,"score":0.5033192038536072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47794654965400696},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3827372193336487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3738028407096863},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1195838451385498},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10454955697059631},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09715771675109863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2024.3404644","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404644","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10537175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:openresearch.lsbu.ac.uk:973z6","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ACCESS.2024.3404644","pdf_url":"https://openresearch.lsbu.ac.uk/download/35dff5d204c979839eb3556b0d69f79e9eef955bdacb832f4a354548ce6e29f4/2347037/A_Consensus_Mechanism_to_Improve_Prediction_of_Cortical_Bone_Properties_using_Ultrafast_Ultrasound_Acquisition.pdf","source":{"id":"https://openalex.org/S4306401135","display_name":"Research Open (London South Bank University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28257850","host_organization_name":"London South Bank University","host_organization_lineage":["https://openalex.org/I28257850"],"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":"","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:88538fbea55e4147adbc5abe4db07b58","is_oa":true,"landing_page_url":"https://doaj.org/article/88538fbea55e4147adbc5abe4db07b58","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":"IEEE Access, Vol 12, Pp 78148-78160 (2024)","raw_type":"article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/448c037e-f0ad-45ec-98b5-3c4784f93188","is_oa":true,"landing_page_url":"https://www.scopus.com/pages/publications/85194065088","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sultan, H H, Grisan, E, Dryburgh, P, Peralta Pereira, L & Harput, S 2024, 'A Consensus Mechanism to Improve Prediction of Cortical Bone Properties using Ultrafast Ultrasound Acquisition', IEEE Access, vol. 12, pp. 78148-78160. https://doi.org/10.1109/ACCESS.2024.3404644","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/448c037e-f0ad-45ec-98b5-3c4784f93188","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/448c037e-f0ad-45ec-98b5-3c4784f93188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sultan, H H, Grisan, E, Dryburgh, P, Peralta Pereira, L & Harput, S 2024, 'A Consensus Mechanism to Improve Prediction of Cortical Bone Properties using Ultrafast Ultrasound Acquisition', IEEE Access, vol. 12, pp. 78148-78160. https://doi.org/10.1109/ACCESS.2024.3404644","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3404644","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404644","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10537175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398249808.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1922108630","https://openalex.org/W1967727095","https://openalex.org/W1969465167","https://openalex.org/W1969588795","https://openalex.org/W1971139554","https://openalex.org/W1977198476","https://openalex.org/W2003113564","https://openalex.org/W2012389744","https://openalex.org/W2015052481","https://openalex.org/W2017114945","https://openalex.org/W2019550924","https://openalex.org/W2068613829","https://openalex.org/W2069727291","https://openalex.org/W2078053531","https://openalex.org/W2093589085","https://openalex.org/W2104048619","https://openalex.org/W2116597195","https://openalex.org/W2130796365","https://openalex.org/W2131649956","https://openalex.org/W2141383770","https://openalex.org/W2150581889","https://openalex.org/W2156414583","https://openalex.org/W2160381046","https://openalex.org/W2166018840","https://openalex.org/W2166266977","https://openalex.org/W2167751454","https://openalex.org/W2185364340","https://openalex.org/W2213775522","https://openalex.org/W2276942970","https://openalex.org/W2341952070","https://openalex.org/W2380921125","https://openalex.org/W2423443112","https://openalex.org/W2467586416","https://openalex.org/W2474969214","https://openalex.org/W2811344921","https://openalex.org/W2854373631","https://openalex.org/W2890322677","https://openalex.org/W2899811851","https://openalex.org/W2901406086","https://openalex.org/W2902807692","https://openalex.org/W2945797439","https://openalex.org/W2949590920","https://openalex.org/W2981469195","https://openalex.org/W3003804480","https://openalex.org/W3003905048","https://openalex.org/W3006539134","https://openalex.org/W3007267543","https://openalex.org/W3087676231","https://openalex.org/W3103416721","https://openalex.org/W3117492306","https://openalex.org/W3122355819","https://openalex.org/W3138257842","https://openalex.org/W3146366485","https://openalex.org/W3164566314","https://openalex.org/W3199212483","https://openalex.org/W3200714468","https://openalex.org/W3202553697","https://openalex.org/W4237593632","https://openalex.org/W4246491681","https://openalex.org/W4248763740","https://openalex.org/W4281398223","https://openalex.org/W4284667425","https://openalex.org/W4296588674","https://openalex.org/W4307658555","https://openalex.org/W4310502095","https://openalex.org/W4310584684","https://openalex.org/W4376619916","https://openalex.org/W4385245566","https://openalex.org/W4388448102","https://openalex.org/W4388450402"],"related_works":["https://openalex.org/W2006301743","https://openalex.org/W2106296380","https://openalex.org/W4401285412","https://openalex.org/W2428042130","https://openalex.org/W2025700329","https://openalex.org/W4312903331","https://openalex.org/W4293226380","https://openalex.org/W4250171038","https://openalex.org/W1971593760","https://openalex.org/W1606781778"],"abstract_inverted_index":{"Human":[0],"bone":[1,7,13,23,47,123],"microarchitecture":[2],"is":[3,27,92,102,113],"complex":[4],"and":[5,32,49,69,118,151,162,177,183,209],"density-based":[6],"assessment":[8],"modalities":[9],"cannot":[10],"fully":[11],"capture":[12,190],"strength":[14],"or":[15],"health.":[16],"Ultrasound":[17],"can":[18,189],"be":[19],"used":[20,93],"to":[21,74,94,147,156,239],"assess":[22],"microstructure,":[24],"but":[25],"it":[26],"hindered":[28],"by":[29,230],"the":[30,110,172,175,241],"dense":[31],"acoustically":[33],"diverse":[34],"nature":[35],"of":[36,109,133,174,192,201,206],"cortical":[37,46],"bone.":[38],"This":[39],"study":[40,124,135],"proposes":[41],"a":[42,52,71,84,87,104,216,236],"methodology":[43],"for":[44,149,158,204,219],"predicting":[45],"thickness":[48,150,176],"porosity":[50,159,178],"through":[51,115],"novel":[53],"approach":[54,218],"utilizing":[55],"convolutional":[56],"neural":[57],"networks":[58],"(CNNs),":[59],"processing":[60,223],"multi-frequency":[61],"radiofrequency":[62],"(RF)":[63],"data":[64,98,222,226],"obtained":[65],"from":[66,145,154],"ultrafast":[67,127,220],"ultrasound,":[68],"implementing":[70],"consensus":[72,89,164,169,237],"mechanism":[73,170,238],"enhance":[75],"accuracy.":[76,244],"Received":[77],"ultrasound":[78,128,187,221,233],"RF":[79,97,193],"signals":[80,194],"are":[81],"processed":[82],"using":[83,125,235],"CNN":[85],"with":[86,142,163],"mutual":[88,168],"mechanism,":[90],"which":[91,197],"discard":[95],"received":[96],"when":[99],"measurement":[100],"variation":[101],"over":[103,228],"certain":[105],"threshold.":[106],"The":[107,130,166],"feasibility":[108],"proposed":[111],"method":[112],"demonstrated":[114],"realistic":[116],"simulations":[117],"an":[119,126,137,143,152],"ex":[120,184],"vivo":[121],"animal":[122],"scanner.":[129],"preliminary":[131],"findings":[132],"this":[134],"demonstrate":[136],"enhancement":[138],"in":[139,181,199],"overall":[140],"accuracy,":[141],"increase":[144,153],"92%":[146],"95.6%":[148],"73.4%":[155],"88.4%":[157],"classification,":[160],"without":[161],"respectively.":[165],"implemented":[167],"increases":[171],"accuracy":[173],"estimations":[179],"both":[180],"silico":[182],"vivo.":[185],"Ultrafast":[186],"scanners":[188],"thousands":[191],"within":[195],"seconds,":[196],"results":[198],"availability":[200],"large":[202],"datasets":[203],"implementation":[205],"artificial":[207],"intelligence":[208],"machine":[210],"learning":[211],"algorithms.":[212],"Here,":[213],"we":[214],"propose":[215],"new":[217],"that":[224],"values":[225],"quality":[227],"quantity":[229],"discarding":[231],"noisy":[232],"measurements":[234],"improve":[240],"final":[242],"estimation":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2024-05-24T00:00:00"}
