{"id":"https://openalex.org/W4414871317","doi":"https://doi.org/10.1109/tgcn.2025.3616971","title":"Radio Frequency Fingerprint Recognition Method Based on Feature Fusion and Enhanced Residual Networks","display_name":"Radio Frequency Fingerprint Recognition Method Based on Feature Fusion and Enhanced Residual Networks","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414871317","doi":"https://doi.org/10.1109/tgcn.2025.3616971"},"language":"en","primary_location":{"id":"doi:10.1109/tgcn.2025.3616971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2025.3616971","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5090986598","display_name":"Jiawei Xin","orcid":"https://orcid.org/0009-0004-6794-1750"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Xin","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-9343-5642","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086363082","display_name":"Yuanxiang Chen","orcid":"https://orcid.org/0000-0001-7049-2379"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxiang Chen","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046656665","display_name":"Chunhui Du","orcid":"https://orcid.org/0000-0002-1966-8057"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyi Du","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731479","display_name":"Cong Hu","orcid":"https://orcid.org/0000-0002-5309-5985"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Hu","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5309-5985","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100595442","display_name":"Tao Liu","orcid":"https://orcid.org/0009-0004-6768-327X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-6768-327X","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358179","display_name":"Jianjun Zhang","orcid":"https://orcid.org/0000-0001-8490-6587"},"institutions":[{"id":"https://openalex.org/I4210127816","display_name":"San\u2019an Optoelectronics (China)","ror":"https://ror.org/03hjnd594","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Zhang","raw_affiliation_strings":["Tianjin Optoelectronic Communication Technology Company Ltd., Tianjin, China","Tianjin Optoelectronic Communication Technology Co., Ltd, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Optoelectronic Communication Technology Company Ltd., Tianjin, China","institution_ids":["https://openalex.org/I4210127816"]},{"raw_affiliation_string":"Tianjin Optoelectronic Communication Technology Co., Ltd, Tianjin, China","institution_ids":["https://openalex.org/I4210127816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101475284","display_name":"Lin Yang","orcid":"https://orcid.org/0000-0002-6956-8177"},"institutions":[{"id":"https://openalex.org/I4210127816","display_name":"San\u2019an Optoelectronics (China)","ror":"https://ror.org/03hjnd594","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Yang","raw_affiliation_strings":["Tianjin Optoelectronic Communication Technology Company Ltd., Tianjin, China","Tianjin Optoelectronic Communication Technology Co., Ltd, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Optoelectronic Communication Technology Company Ltd., Tianjin, China","institution_ids":["https://openalex.org/I4210127816"]},{"raw_affiliation_string":"Tianjin Optoelectronic Communication Technology Co., Ltd, Tianjin, China","institution_ids":["https://openalex.org/I4210127816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102897602","display_name":"Jianguo Yu","orcid":"https://orcid.org/0000-0002-9736-8471"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Yu","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9736-8471","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5090986598"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32283827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1184","last_page":"1197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9909999966621399,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9883000254631042,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/spectrogram","display_name":"Spectrogram","score":0.7141000032424927},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6754999756813049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6348000168800354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5907999873161316},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5633000135421753},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5555999875068665},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4293999969959259},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.39820000529289246},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.3799000084400177},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.3650999963283539}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7141000032424927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941999793052673},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6754999756813049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730999946594238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5907999873161316},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5555999875068665},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.3650999963283539},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C180863505","wikidata":"https://www.wikidata.org/wiki/Q5439687","display_name":"Feature recognition","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.358599990606308},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.32510000467300415},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.31929999589920044},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C50878840","wikidata":"https://www.wikidata.org/wiki/Q3206297","display_name":"Ambiguity function","level":4,"score":0.28529998660087585},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgcn.2025.3616971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2025.3616971","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2085358580","display_name":null,"funder_award_id":"2023YFB2905600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2529722542","display_name":null,"funder_award_id":"61875239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3678196313","display_name":null,"funder_award_id":"62127802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5631081861","display_name":null,"funder_award_id":"62271079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8546599242","display_name":null,"funder_award_id":"2018YFB2200903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G918491499","display_name":null,"funder_award_id":"Z211100002121138","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1595713750","https://openalex.org/W1957358593","https://openalex.org/W1968960382","https://openalex.org/W1993088102","https://openalex.org/W2041320291","https://openalex.org/W2042970110","https://openalex.org/W2054878302","https://openalex.org/W2125983889","https://openalex.org/W2147276339","https://openalex.org/W2155886813","https://openalex.org/W2168626963","https://openalex.org/W2351740472","https://openalex.org/W2502519212","https://openalex.org/W2592664388","https://openalex.org/W2604481500","https://openalex.org/W2745723384","https://openalex.org/W2945837706","https://openalex.org/W3094076579","https://openalex.org/W3109191887","https://openalex.org/W3114720220","https://openalex.org/W3127763944","https://openalex.org/W3130775937","https://openalex.org/W3136021864","https://openalex.org/W3172135703","https://openalex.org/W3181667991","https://openalex.org/W3212604410","https://openalex.org/W3212749396","https://openalex.org/W4206132942","https://openalex.org/W4285141850","https://openalex.org/W4296340364","https://openalex.org/W4321482415","https://openalex.org/W4328027781","https://openalex.org/W4328027789","https://openalex.org/W4377292765","https://openalex.org/W4378365312","https://openalex.org/W4385834141","https://openalex.org/W4390863262"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"Fingerprint":[2],"Identification":[3],"(RFFI)":[4],"is":[5,69,147],"a":[6,19,76,141,160,172,199,207],"technology":[7],"that":[8,131,179],"utilizes":[9],"unique":[10],"hardware":[11],"characteristics":[12],"for":[13,196],"identity":[14],"authentication.":[15],"This":[16],"paper":[17],"proposes":[18],"feature":[20,64],"fusion-based":[21],"RFFI":[22],"approach":[23,90,170],"employing":[24],"an":[25,72,111],"enhanced":[26,73,151,167],"residual":[27],"network":[28,67],"(ResNet)":[29],"to":[30,128,154],"improve":[31],"recognition":[32],"accuracy":[33,117,143,174,210],"under":[34],"various":[35],"signal-to-noise":[36],"ratio":[37],"(SNR)":[38],"conditions.":[39],"First,":[40],"pulse":[41],"sequences":[42],"are":[43,49],"extracted,":[44],"and":[45,61,83],"the":[46,101,107,116,119,129,138,150,155,166,177,188,193],"following":[47,102],"features":[48,123,164],"then":[50],"constructed:":[51],"ambiguity":[52],"function":[53],"(AF),":[54],"time-frequency":[55],"spectrograms":[56],"(TFS),":[57],"bispectral":[58],"analysis":[59],"(BIS),":[60],"intrinsic":[62],"function-phase":[63],"(IFP).":[65],"The":[66],"architecture":[68],"based":[70],"on":[71],"ResNet":[74,152],"with":[75,110,165,182],"multi-path":[77],"structure,":[78],"gated":[79],"recurrent":[80],"unit":[81],"(GRU),":[82],"attention":[84],"mechanisms.":[85],"We":[86],"ultimately":[87],"validate":[88],"our":[89],"using":[91,190],"real-world":[92],"automatic":[93],"dependent":[94],"surveillance-broadcast":[95],"(ADS-B)":[96],"data.":[97],"Experimental":[98],"results":[99],"reveal":[100],"key":[103],"findings:":[104],"(1)":[105],"For":[106],"original":[108],"signal":[109],"SNR":[112],"of":[113,118,145,162,202],"25":[114],"dB,":[115],"method":[120,130,178],"stacking":[121],"four":[122,163],"improves":[124],"by":[125,149],"4.55%":[126],"compared":[127,153],"stacks":[132],"two":[133],"features.":[134],"(2)":[135],"By":[136],"leveraging":[137],"AF":[139,181],"feature,":[140],"notable":[142],"gain":[144],"24.3%":[146],"achieved":[148],"classical":[156],"ResNet-34.":[157,183],"(3)":[158],"Employing":[159],"combination":[161],"ResNet,":[168],"this":[169],"yields":[171],"31.81%":[173],"improvement":[175],"over":[176],"uses":[180],"(4)With":[184],"knowledge":[185],"distillation":[186],"applied,":[187],"ShuffleNet-V2,":[189],"ResNet-G":[191],"as":[192],"teacher":[194],"model":[195],"distillation,":[197],"maintains":[198],"parameter":[200],"size":[201],"only":[203],"2.28M,":[204],"while":[205],"suffering":[206],"mere":[208],"1.33%":[209],"loss.":[211]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
