{"id":"https://openalex.org/W3198079776","doi":"https://doi.org/10.3390/jimaging7090181","title":"Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection","display_name":"Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3198079776","doi":"https://doi.org/10.3390/jimaging7090181","mag":"3198079776","pmid":"https://pubmed.ncbi.nlm.nih.gov/34564107"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging7090181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7090181","pdf_url":"https://www.mdpi.com/2313-433X/7/9/181/pdf","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/7/9/181/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045727162","display_name":"Paola Cucuzza","orcid":"https://orcid.org/0000-0002-1853-484X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paola Cucuzza","raw_affiliation_strings":["Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040545300","display_name":"Silvia Serranti","orcid":"https://orcid.org/0000-0003-2435-5212"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Silvia Serranti","raw_affiliation_strings":["Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070880523","display_name":"Giuseppe Bonifazi","orcid":"https://orcid.org/0000-0001-6935-2686"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Bonifazi","raw_affiliation_strings":["Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020160750","display_name":"Giuseppe Capobianco","orcid":"https://orcid.org/0000-0003-1914-7275"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Capobianco","raw_affiliation_strings":["Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Materials & Environment, Sapienza, Rome University, Via Eudossiana 18, 00184 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040545300"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":1.6505,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.81093763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"9","first_page":"181","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9129011631011963},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5848754048347473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5649794936180115},{"id":"https://openalex.org/keywords/polyethylene-terephthalate","display_name":"Polyethylene terephthalate","score":0.5518949627876282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5288302302360535},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5242691040039062},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.5129832625389099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5051446557044983},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4989912509918213},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4534703195095062},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4365798234939575},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3243497312068939},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2873520851135254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23406246304512024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15191727876663208},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1386016607284546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08735781908035278}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9129011631011963},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5848754048347473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5649794936180115},{"id":"https://openalex.org/C2780017307","wikidata":"https://www.wikidata.org/wiki/Q145863","display_name":"Polyethylene terephthalate","level":2,"score":0.5518949627876282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5288302302360535},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5242691040039062},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.5129832625389099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051446557044983},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4989912509918213},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4534703195095062},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4365798234939575},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3243497312068939},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2873520851135254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23406246304512024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15191727876663208},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1386016607284546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08735781908035278},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/jimaging7090181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7090181","pdf_url":"https://www.mdpi.com/2313-433X/7/9/181/pdf","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:34564107","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34564107","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:ed2913d76c5344e98eb6a95c04404006","is_oa":true,"landing_page_url":"https://doaj.org/article/ed2913d76c5344e98eb6a95c04404006","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":"Journal of Imaging, Vol 7, Iss 9, p 181 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7439091","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8471278","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:iris.uniroma1.it:11573/1576664","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1576664","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8471278","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8471278","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging7090181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7090181","pdf_url":"https://www.mdpi.com/2313-433X/7/9/181/pdf","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198079776.pdf","grobid_xml":"https://content.openalex.org/works/W3198079776.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W157577423","https://openalex.org/W312631809","https://openalex.org/W919251515","https://openalex.org/W1250780796","https://openalex.org/W1967140713","https://openalex.org/W1970458547","https://openalex.org/W1973977763","https://openalex.org/W1996195892","https://openalex.org/W1997270149","https://openalex.org/W2001112511","https://openalex.org/W2003497319","https://openalex.org/W2012358846","https://openalex.org/W2015639611","https://openalex.org/W2016090370","https://openalex.org/W2026885423","https://openalex.org/W2027815127","https://openalex.org/W2032937972","https://openalex.org/W2036097478","https://openalex.org/W2042290752","https://openalex.org/W2042384216","https://openalex.org/W2052898105","https://openalex.org/W2057110558","https://openalex.org/W2057449738","https://openalex.org/W2061593315","https://openalex.org/W2063841678","https://openalex.org/W2091611260","https://openalex.org/W2098136451","https://openalex.org/W2104403060","https://openalex.org/W2109606373","https://openalex.org/W2111996418","https://openalex.org/W2117665699","https://openalex.org/W2281392327","https://openalex.org/W2494741411","https://openalex.org/W2507416357","https://openalex.org/W2749550903","https://openalex.org/W2763148304","https://openalex.org/W2765665809","https://openalex.org/W2789438661","https://openalex.org/W2790770179","https://openalex.org/W2793814093","https://openalex.org/W2797765682","https://openalex.org/W2895270387","https://openalex.org/W2905045686","https://openalex.org/W2911863681","https://openalex.org/W2912993901","https://openalex.org/W2916553851","https://openalex.org/W2944464974","https://openalex.org/W2946563709","https://openalex.org/W2950232220","https://openalex.org/W2978608513","https://openalex.org/W2983405728","https://openalex.org/W3012481340","https://openalex.org/W3036395929","https://openalex.org/W3089196782","https://openalex.org/W3106179072","https://openalex.org/W3131497667","https://openalex.org/W3153021685","https://openalex.org/W3194567569","https://openalex.org/W4242169377","https://openalex.org/W6757177646","https://openalex.org/W6794505066"],"related_works":["https://openalex.org/W2047610499","https://openalex.org/W2387140374","https://openalex.org/W2073566205","https://openalex.org/W2437021460","https://openalex.org/W3025059132","https://openalex.org/W2908982131","https://openalex.org/W2413732803","https://openalex.org/W2341468012","https://openalex.org/W4384558592","https://openalex.org/W3015378561"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"effective":[3],"solutions":[4],"for":[5,97,167],"polyethylene":[6],"terephthalate":[7],"(PET)":[8],"recycling":[9],"based":[10,90],"on":[11,91],"hyperspectral":[12],"imaging":[13],"(HSI)":[14],"coupled":[15,57],"with":[16,58,102,159],"variable":[17,60],"selection":[18,61],"method,":[19,62],"were":[20,42,69,104],"developed":[21],"and":[22,33,106,134,143,149],"optimized.":[23],"Hyperspectral":[24],"images":[25],"of":[26,36,54,75,140,169],"post-consumer":[27],"plastic":[28,170],"flakes,":[29],"composed":[30],"by":[31,119,183],"PET":[32,85,174],"small":[34],"quantities":[35],"other":[37],"polymers,":[38],"considered":[39],"as":[40,181],"contaminants,":[41],"acquired":[43],"in":[44,83,146,172],"the":[45,73,81,84,178],"short-wave":[46],"infrared":[47],"range":[48],"(SWIR:":[49],"1000-2500":[50],"nm).":[51],"Different":[52],"combinations":[53],"preprocessing":[55,99,132],"sets":[56],"a":[59,120,164,173],"called":[63],"competitive":[64],"adaptive":[65],"reweighted":[66],"sampling":[67],"(CARS),":[68],"applied":[70],"to":[71,79,108,155],"reduce":[72],"number":[74],"spectral":[76],"bands":[77],"useful":[78],"detect":[80],"contaminants":[82,171],"flow":[86],"stream.":[87],"Prediction":[88],"models":[89],"partial":[92],"least":[93],"squares-discriminant":[94],"analysis":[95],"(PLS-DA)":[96],"each":[98],"set,":[100],"combined":[101,158],"CARS,":[103],"built":[105],"compared":[107],"evaluate":[109],"their":[110],"efficiency":[111],"results.":[112],"The":[113],"best":[114],"performance":[115],"result":[116],"was":[117],"obtained":[118],"PLS-DA":[121],"model":[122],"using":[123],"multiplicative":[124],"scatter":[125],"correction":[126],"+":[127,129],"derivative":[128],"mean":[130],"center":[131],"set":[133],"selecting":[135],"only":[136],"14":[137],"wavelengths":[138],"out":[139],"240.":[141],"Sensitivity":[142],"specificity":[144],"values":[145],"calibration,":[147],"cross-validation":[148],"prediction":[150],"phases":[151],"ranged":[152],"from":[153],"0.986":[154],"0.998.":[156],"HSI":[157],"CARS":[160],"method":[161],"can":[162],"represent":[163],"valid":[165],"tool":[166],"identification":[168],"flakes":[175],"stream":[176],"increasing":[177],"processing":[179],"speed":[180],"requested":[182],"sensor-based":[184],"sorting":[185],"devices":[186],"working":[187],"at":[188],"industrial":[189],"level.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
