{"id":"https://openalex.org/W4317795290","doi":"https://doi.org/10.1109/jstars.2023.3239109","title":"Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network","display_name":"Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4317795290","doi":"https://doi.org/10.1109/jstars.2023.3239109"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3239109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3239109","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10024787.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10024787.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083153817","display_name":"Guangyu Liu","orcid":"https://orcid.org/0000-0002-6093-2518"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Liu","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6093-2518","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422128","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0003-0597-8908"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["School of Computing, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0597-8908","affiliations":[{"raw_affiliation_string":"School of Computing, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086507196","display_name":"Renlong Hang","orcid":"https://orcid.org/0000-0001-6046-3689"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renlong Hang","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6046-3689","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013948404","display_name":"Lingling Ge","orcid":"https://orcid.org/0000-0003-0972-2264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingling Ge","raw_affiliation_strings":["National Meteorological Information Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-2264","affiliations":[{"raw_affiliation_string":"National Meteorological Information Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000578129","display_name":"Chunxiang Shi","orcid":"https://orcid.org/0000-0002-8902-6930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunxiang Shi","raw_affiliation_strings":["National Meteorological Information Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Meteorological Information Center, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Liu","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5512-6984","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":4.5571,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95268401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"1678","last_page":"1690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/downscaling","display_name":"Downscaling","score":0.6680102944374084},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6217620372772217},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.616712212562561},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5867002010345459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5026330947875977},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.502345085144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49613842368125916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4808531403541565},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4782739579677582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3282257318496704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.316711962223053},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2687937021255493},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15385878086090088},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1537906527519226},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.11570721864700317},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1029522716999054},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0873708426952362}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.6680102944374084},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6217620372772217},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.616712212562561},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5867002010345459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5026330947875977},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.502345085144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49613842368125916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4808531403541565},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4782739579677582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3282257318496704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.316711962223053},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2687937021255493},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15385878086090088},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1537906527519226},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.11570721864700317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1029522716999054},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0873708426952362},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3239109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3239109","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10024787.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:53e55a7cd3be417ca2f3455e8f85760e","is_oa":true,"landing_page_url":"https://doaj.org/article/53e55a7cd3be417ca2f3455e8f85760e","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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1678-1690 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3239109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3239109","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10024787.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1786896591","display_name":null,"funder_award_id":"62206115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2543722175","display_name":null,"funder_award_id":"2021ZD0112200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G337458820","display_name":null,"funder_award_id":"Grant 61825601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G409525531","display_name":null,"funder_award_id":"U21B2049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6701001558","display_name":null,"funder_award_id":"BK20220646","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7375732063","display_name":null,"funder_award_id":"61825601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317795290.pdf","grobid_xml":"https://content.openalex.org/works/W4317795290.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1791484930","https://openalex.org/W1853126037","https://openalex.org/W1881525011","https://openalex.org/W1885185971","https://openalex.org/W1941270473","https://openalex.org/W1989946722","https://openalex.org/W2004803051","https://openalex.org/W2015861736","https://openalex.org/W2017694618","https://openalex.org/W2023172093","https://openalex.org/W2024966118","https://openalex.org/W2034630107","https://openalex.org/W2055695879","https://openalex.org/W2062217294","https://openalex.org/W2062667641","https://openalex.org/W2110840032","https://openalex.org/W2124450653","https://openalex.org/W2143082107","https://openalex.org/W2159101325","https://openalex.org/W2165463227","https://openalex.org/W2172191993","https://openalex.org/W2242218935","https://openalex.org/W2298318878","https://openalex.org/W2301692565","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2551397753","https://openalex.org/W2604521289","https://openalex.org/W2607041014","https://openalex.org/W2764112593","https://openalex.org/W2766018291","https://openalex.org/W2789674734","https://openalex.org/W2866634454","https://openalex.org/W2887626628","https://openalex.org/W2888189639","https://openalex.org/W2901123978","https://openalex.org/W2937582268","https://openalex.org/W2939571759","https://openalex.org/W2963372104","https://openalex.org/W2976850564","https://openalex.org/W2981977644","https://openalex.org/W3026449040","https://openalex.org/W3044232223","https://openalex.org/W3096052669","https://openalex.org/W3096676076","https://openalex.org/W3101035442","https://openalex.org/W3154650405","https://openalex.org/W3155849328","https://openalex.org/W4200313969","https://openalex.org/W4210457421","https://openalex.org/W4220664068","https://openalex.org/W4225502299","https://openalex.org/W4287712211","https://openalex.org/W6697786135","https://openalex.org/W6772578658","https://openalex.org/W6780754960"],"related_works":["https://openalex.org/W2394436593","https://openalex.org/W3013458534","https://openalex.org/W3010558748","https://openalex.org/W2526815458","https://openalex.org/W4220911053","https://openalex.org/W2380042710","https://openalex.org/W2944582722","https://openalex.org/W4377833746","https://openalex.org/W4387102043","https://openalex.org/W769766909"],"abstract_inverted_index":{"Deep":[0],"learning":[1,240],"techniques,":[2],"especially":[3],"convolutional":[4],"neural":[5],"networks":[6],"(CNNs),":[7],"have":[8],"dramatically":[9],"boosted":[10],"the":[11,70,75,82,86,104,108,113,121,128,134,141,146,149,159,224,261],"performance":[12,213],"of":[13,85,148,227,263],"statistical":[14],"downscaling.":[15],"In":[16,235],"this":[17],"study,":[18],"we":[19],"propose":[20],"a":[21,117,177,186,211,255],"CNN-based":[22],"2":[23,38,228,248],"m":[24,39,229,249],"air":[25,40,230,250],"temperature":[26,41,72,88,105,130,231,251],"downscaling":[27,245],"model":[28,99],"named":[29],"Terrain-Guided":[30],"Attention":[31],"Network":[32],"(TGAN),":[33],"which":[34],"aims":[35],"at":[36],"rebuilding":[37],"distribution":[42],"from":[43,74],"0.0625":[44],"<inline-formula":[45,52,164,191,203],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46,53,165,192,204],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[47,54,166,193,205],"notation=\"LaTeX\">$^{\\circ":[48,55],"}$</tex-math></inline-formula>":[49,56],"to":[50,67,79,95,126,144],"0.01":[51],"over":[57],"Southwest":[58],"China.":[59],"More":[60],"concretely,":[61],"TGAN":[62,157,209,242],"utilizes":[63],"two":[64],"upsampling":[65],"modules":[66],"progressively":[68],"reconstruct":[69],"high-resolution":[71,129,264],"data":[73,106,136,143,172,184,200],"low-resolution":[76,87],"one.":[77],"Then,":[78],"better":[80,244],"recover":[81],"spatial":[83],"detail":[84],"data,":[89],"an":[90],"attentive-terrain":[91,174],"block":[92],"is":[93,124],"proposed":[94,150],"introduce":[96],"digital":[97],"terrain":[98],"(DEM)":[100],"information.":[101],"It":[102],"aggregates":[103],"and":[107,139,196,222,253,258],"corresponding-scale":[109],"DEM":[110,171,183,199],"information":[111],"via":[112],"attention":[114],"mechanism":[115],"in":[116,176,185],"multiscale":[118,178,187],"manner.":[119],"Ultimately,":[120],"reconstruction":[122,252],"module":[123],"employed":[125],"obtain":[127],"data.":[131,268],"We":[132],"use":[133],"2019":[135],"for":[137,247,260],"training,":[138],"utilize":[140],"2018":[142],"verify":[145],"effectiveness":[147],"TGAN.":[151],"The":[152],"experimental":[153],"results":[154,246],"showed":[155,210],"that":[156],"achieved":[158],"lowest":[160],"root-mean-square":[161],"error":[162],"(1.12":[163],"notation=\"LaTeX\">$\\,^\\circ$</tex-math></inline-formula>":[167,194,206],"C)":[168,195],"when":[169,214],"incorporating":[170,182,198],"by":[173,181],"blocks":[175],"manner,":[179],"followed":[180],"manner":[188],"(TGAN-land,":[189],"1.31":[190],"only":[197],"(SRCNN-land,":[201],"1.36":[202],"C).":[207],"Meanwhile,":[208],"competitive":[212],"compared":[215],"with":[216],"several":[217],"advanced":[218],"deep-learning-based":[219],"super-resolution":[220],"algorithms":[221],"reconstructed":[223],"texture":[225],"details":[226],"fields":[232],"more":[233],"clearly.":[234],"general,":[236],"among":[237],"various":[238],"deep":[239],"approaches,":[241],"achieves":[243],"provides":[254],"practical":[256],"method":[257],"guidance":[259],"back-calculation":[262],"historical":[265],"meteorological":[266],"grid":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}