{"id":"https://openalex.org/W3093846452","doi":"https://doi.org/10.1109/access.2020.3030938","title":"Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service","display_name":"Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3093846452","doi":"https://doi.org/10.1109/access.2020.3030938","mag":"3093846452"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3030938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09223744.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09223744.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047444096","display_name":"Lkhagvadorj Munkhdalai","orcid":"https://orcid.org/0000-0002-6740-219X"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Lkhagvadorj Munkhdalai","raw_affiliation_strings":["Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"affiliations":[{"raw_affiliation_string":"Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055560423","display_name":"Kwang Ho Park","orcid":"https://orcid.org/0000-0002-7133-3051"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang Ho Park","raw_affiliation_strings":["Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"affiliations":[{"raw_affiliation_string":"Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043999174","display_name":"Erdenebileg Batbaatar","orcid":"https://orcid.org/0000-0002-9724-8955"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Erdenebileg Batbaatar","raw_affiliation_strings":["Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"affiliations":[{"raw_affiliation_string":"Database/Bionformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013485138","display_name":"Nipon Theera\u2010Umpon","orcid":"https://orcid.org/0000-0002-2951-9610"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nipon Theera-Umpon","raw_affiliation_strings":["Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand","Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]},{"raw_affiliation_string":"Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043932631","display_name":"Keun Ho Ryu","orcid":"https://orcid.org/0000-0003-0394-9054"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]},{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["KR","TH"],"is_corresponding":false,"raw_author_name":"Keun Ho Ryu","raw_affiliation_strings":["Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand","Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand","School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]},{"raw_affiliation_string":"Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047444096"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3032,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79308227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"188135","last_page":"188145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.995199978351593,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7815294861793518},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6786408424377441},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6355951428413391},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5823966264724731},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5553099513053894},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5255450010299683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500324010848999},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48256388306617737},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4336596131324768},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4321553707122803},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4269787669181824},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.39210063219070435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3540774881839752},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19965249300003052},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.094503253698349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815294861793518},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6786408424377441},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6355951428413391},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5823966264724731},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5553099513053894},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5255450010299683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500324010848999},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48256388306617737},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4336596131324768},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4321553707122803},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4269787669181824},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39210063219070435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3540774881839752},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19965249300003052},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.094503253698349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3030938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09223744.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:49b09f6f10a94f37895547293346b738","is_oa":true,"landing_page_url":"https://doaj.org/article/49b09f6f10a94f37895547293346b738","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":"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 8, Pp 188135-188145 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3030938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09223744.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2696308420","display_name":null,"funder_award_id":"2020R1A2B5B","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3084721425","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320321529","funder_display_name":"Chiang Mai University"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3510381842","display_name":null,"funder_award_id":"2020R1A2B5B02001717","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4369592214","display_name":null,"funder_award_id":"2019K2A9A2A06020672","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G4908476900","display_name":null,"funder_award_id":"2020R1A2B5B02001717","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G5712268306","display_name":null,"funder_award_id":"2019K2A9A2A06020672","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321529","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093846452.pdf","grobid_xml":"https://content.openalex.org/works/W3093846452.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W813102796","https://openalex.org/W1498140131","https://openalex.org/W1525859397","https://openalex.org/W1540722299","https://openalex.org/W1573999982","https://openalex.org/W1967484865","https://openalex.org/W1968932853","https://openalex.org/W1979575715","https://openalex.org/W2019030721","https://openalex.org/W2029438113","https://openalex.org/W2040870580","https://openalex.org/W2046929321","https://openalex.org/W2064675550","https://openalex.org/W2085866051","https://openalex.org/W2089217417","https://openalex.org/W2127265926","https://openalex.org/W2313953460","https://openalex.org/W2535697732","https://openalex.org/W2564960719","https://openalex.org/W2613328025","https://openalex.org/W2741097030","https://openalex.org/W2766673981","https://openalex.org/W2786622092","https://openalex.org/W2807925766","https://openalex.org/W2907554505","https://openalex.org/W2912260645","https://openalex.org/W2948974578","https://openalex.org/W2952042565","https://openalex.org/W2962752580","https://openalex.org/W2963271116","https://openalex.org/W2963558246","https://openalex.org/W2963695615","https://openalex.org/W2964199361","https://openalex.org/W2964313743","https://openalex.org/W2972862002","https://openalex.org/W2980994438","https://openalex.org/W2996485148","https://openalex.org/W3020848854","https://openalex.org/W3102171379","https://openalex.org/W4289083414","https://openalex.org/W4292483811","https://openalex.org/W6631621112","https://openalex.org/W6678917918","https://openalex.org/W6681968150","https://openalex.org/W6726186668","https://openalex.org/W6728634397","https://openalex.org/W6748230616","https://openalex.org/W6752537898","https://openalex.org/W6758432988","https://openalex.org/W6776732138"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2397288865","https://openalex.org/W2611989081","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2079402751","https://openalex.org/W2731899572","https://openalex.org/W2392797073","https://openalex.org/W2989490741","https://openalex.org/W4230611425"],"abstract_inverted_index":{"Proper":[0],"demand":[1,36,51],"forecasting":[2,146],"for":[3,10,37,58,145,156],"postal":[4],"delivery":[5,38,56],"service":[6,39],"can":[7],"be":[8],"used":[9],"optimal":[11],"logistic":[12],"management,":[13],"staff":[14],"scheduling":[15],"and":[16,30,77,125],"topology":[17],"planning.":[18],"More":[19],"especially,":[20],"during":[21],"special":[22,152],"holidays,":[23],"such":[24],"as":[25],"the":[26,31,35,59,94,98,111,114,118,126],"Lunar":[27],"New":[28],"Year":[29],"Chuseok":[32],"(Mid-autumn":[33],"day),":[34],"increases":[40],"sharply":[41],"in":[42],"South":[43],"Korea.":[44],"It":[45],"makes":[46],"a":[47,54,69,130,136,151],"challenge":[48],"to":[49,52,81,101,105,110,121],"forecast":[50],"provide":[53],"normal":[55],"schedule":[57],"Korean":[60,177],"mail":[61,178],"center.":[62],"To":[63],"address":[64],"this":[65],"problem,":[66],"we":[67],"propose":[68],"novel":[70],"deep":[71,170],"learning":[72,171],"model":[73,88,99,172],"equipped":[74],"with":[75],"selection":[76],"update":[78],"layers":[79],"(MLP-SUL)":[80],"achieve":[82],"high":[83],"predictive":[84],"performance.":[85],"The":[86,163],"proposed":[87,169],"consists":[89,134],"of":[90,97,135],"three":[91],"main":[92],"parts:":[93],"first":[95],"part":[96,116,128],"learns":[100],"generate":[102],"context-dependent":[103],"weights":[104],"decide":[106],"which":[107],"input":[108,120,144],"feed":[109],"next":[112],"layer;":[113],"second":[115],"updates":[117],"weighted":[119],"prepare":[122],"encoded":[123,143],"input,":[124],"third":[127],"is":[129],"prediction":[131],"layer":[132,141],"that":[133,159,167],"linear":[137,140],"layer.":[138],"A":[139],"takes":[142],"demand.":[147],"We":[148],"also":[149],"introduce":[150],"data":[153],"preprocessing":[154],"step":[155],"our":[157,168],"task":[158],"requires":[160],"long-term":[161],"forecasting.":[162],"experimental":[164],"results":[165],"show":[166],"outperforms":[173],"state-of-the-art":[174],"baselines":[175],"on":[176],"center":[179],"datasets.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
