{"id":"https://openalex.org/W3180960962","doi":"https://doi.org/10.1109/tcyb.2021.3079097","title":"Effective Transfer Learning Algorithm in Spiking Neural Networks","display_name":"Effective Transfer Learning Algorithm in Spiking Neural Networks","publication_year":2021,"publication_date":"2021-08-10","ids":{"openalex":"https://openalex.org/W3180960962","doi":"https://doi.org/10.1109/tcyb.2021.3079097","mag":"3180960962","pmid":"https://pubmed.ncbi.nlm.nih.gov/34270439"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3079097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3079097","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013265011","display_name":"Qiugang Zhan","orcid":"https://orcid.org/0000-0002-9474-0135"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiugang Zhan","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9474-0135","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003393482","display_name":"Guisong Liu","orcid":"https://orcid.org/0000-0003-2360-0466"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]},{"id":"https://openalex.org/I4210127074","display_name":"Zhongshan Hospital","ror":"https://ror.org/032x22645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127074"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guisong Liu","raw_affiliation_strings":["Economic Information Engineering School, Southwestern University of Finance and Economics, Chengdu, China","Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China"],"raw_orcid":"https://orcid.org/0000-0003-2360-0466","affiliations":[{"raw_affiliation_string":"Economic Information Engineering School, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]},{"raw_affiliation_string":"Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China","institution_ids":["https://openalex.org/I4210127074","https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029314634","display_name":"Xiurui Xie","orcid":"https://orcid.org/0000-0002-3720-4379"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiurui Xie","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091755158","display_name":"Guolin Sun","orcid":"https://orcid.org/0000-0001-9754-7261"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolin Sun","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-9754-7261","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057282687","display_name":"Huajin Tang","orcid":"https://orcid.org/0000-0002-9857-1543"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajin Tang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Laboratory, Institute of Artificial Intelligence, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9857-1543","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Laboratory, Institute of Artificial Intelligence, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0653,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.87075629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"52","issue":"12","first_page":"13323","last_page":"13335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9965999722480774,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8111745119094849},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7557503581047058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6370911598205566},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5743957161903381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5723852515220642},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5453209280967712},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5176306366920471},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45384281873703003},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4521414041519165},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4455976188182831},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.42831629514694214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35446056723594666},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35011255741119385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06438836455345154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111745119094849},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7557503581047058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6370911598205566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5743957161903381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5723852515220642},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5453209280967712},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5176306366920471},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45384281873703003},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4521414041519165},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4455976188182831},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.42831629514694214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35446056723594666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35011255741119385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06438836455345154},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3079097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3079097","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:34270439","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34270439","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":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1563777489","display_name":null,"funder_award_id":"2021A1515011866","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G406633716","display_name":null,"funder_award_id":"420S36","funder_id":"https://openalex.org/F4320329699","funder_display_name":"Zhongshan Science and Technology Bureau"},{"id":"https://openalex.org/G6114932493","display_name":"\u57fa\u4e8e\u7f51\u7edc\u5207\u7247\u76845G\u7269\u8054\u7f51\u8d85\u4f4e\u65f6\u5ef6\u4f20\u8f93\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61771098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8169110997","display_name":null,"funder_award_id":"61806040","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320329699","display_name":"Zhongshan Science and Technology Bureau","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W59997565","https://openalex.org/W1565327149","https://openalex.org/W1576445103","https://openalex.org/W1604973310","https://openalex.org/W1638081485","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1849277567","https://openalex.org/W1920328734","https://openalex.org/W2008924408","https://openalex.org/W2024823680","https://openalex.org/W2025166739","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2115403315","https://openalex.org/W2127658298","https://openalex.org/W2132093718","https://openalex.org/W2159291411","https://openalex.org/W2159951683","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2341914330","https://openalex.org/W2523246573","https://openalex.org/W2554917868","https://openalex.org/W2575365284","https://openalex.org/W2579628011","https://openalex.org/W2620474507","https://openalex.org/W2621826044","https://openalex.org/W2763549966","https://openalex.org/W2767899364","https://openalex.org/W2779025322","https://openalex.org/W2783525259","https://openalex.org/W2794370042","https://openalex.org/W2795155917","https://openalex.org/W2802748234","https://openalex.org/W2808667805","https://openalex.org/W2810782579","https://openalex.org/W2891530223","https://openalex.org/W2892077605","https://openalex.org/W2897070044","https://openalex.org/W2898927016","https://openalex.org/W2899395980","https://openalex.org/W2919234133","https://openalex.org/W2942810103","https://openalex.org/W2957783787","https://openalex.org/W2963168418","https://openalex.org/W2964278684","https://openalex.org/W2973077827","https://openalex.org/W2978098295","https://openalex.org/W2980481100","https://openalex.org/W2982160266","https://openalex.org/W2984699060","https://openalex.org/W2990793844","https://openalex.org/W3005486893","https://openalex.org/W3006664330","https://openalex.org/W3009072794","https://openalex.org/W3010162417","https://openalex.org/W3010456692","https://openalex.org/W3015854248","https://openalex.org/W3022627268","https://openalex.org/W3022987990","https://openalex.org/W3037535778","https://openalex.org/W3102087395","https://openalex.org/W4231109964","https://openalex.org/W4246066915","https://openalex.org/W4298355310","https://openalex.org/W4299518610","https://openalex.org/W6602394311","https://openalex.org/W6637618735","https://openalex.org/W6639204139","https://openalex.org/W6640308425","https://openalex.org/W6678992168","https://openalex.org/W6680751671","https://openalex.org/W6682132143","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6750109254","https://openalex.org/W6754595668","https://openalex.org/W6773890808","https://openalex.org/W6774108127","https://openalex.org/W6776724485"],"related_works":["https://openalex.org/W4399895933","https://openalex.org/W3093871791","https://openalex.org/W4366256806","https://openalex.org/W2997056298","https://openalex.org/W2970987681","https://openalex.org/W4390143068","https://openalex.org/W2578444090","https://openalex.org/W2963548962","https://openalex.org/W3153981999","https://openalex.org/W4225894772"],"abstract_inverted_index":{"As":[0],"the":[1,86,93,118,127,137,143,146],"third":[2],"generation":[3],"of":[4,17,95,139,145],"neural":[5,8,44],"networks,":[6],"spiking":[7],"networks":[9,45],"(SNNs)":[10],"have":[11],"gained":[12],"much":[13],"attention":[14],"recently":[15],"because":[16],"their":[18],"high":[19],"energy":[20],"efficiency":[21],"on":[22,85,126],"neuromorphic":[23],"hardware.":[24],"However,":[25],"training":[26],"deep":[27,82,112],"SNNs":[28,83,140],"requires":[29],"many":[30],"labeled":[31],"data":[32],"that":[33],"are":[34],"expensive":[35],"to":[36,49,106],"obtain":[37],"in":[38,61,69,111,154],"real-world":[39],"applications,":[40],"as":[41,100],"traditional":[42,62],"artificial":[43],"(ANNs).":[46],"In":[47,71,114],"order":[48],"address":[50],"this":[51,72],"issue,":[52],"transfer":[53,78,148],"learning":[54,79,149],"has":[55,66],"been":[56],"proposed":[57,147],"and":[58,130,141],"widely":[59],"used":[60],"ANNs,":[63],"but":[64],"it":[65],"limited":[67],"use":[68],"SNNs.":[70,113,155],"article,":[73],"we":[74,91,116],"propose":[75],"an":[76],"effective":[77],"framework":[80,150],"for":[81],"based":[84],"domain":[87,102],"in-variance":[88],"representation.":[89],"Specifically,":[90],"analyze":[92],"rationality":[94],"centered":[96],"kernel":[97],"alignment":[98],"(CKA)":[99],"a":[101],"distance":[103],"measurement":[104],"relative":[105],"maximum":[107],"mean":[108],"discrepancy":[109],"(MMD)":[110],"addition,":[115],"study":[117],"feature":[119],"transferability":[120,138],"across":[121],"different":[122],"layers":[123],"by":[124,151],"testing":[125],"Office-31,":[128],"Office-Caltech-10,":[129],"PACS":[131],"datasets.":[132],"The":[133],"experimental":[134],"results":[135],"demonstrate":[136],"show":[142],"effectiveness":[144],"using":[152],"CKA":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
