{"id":"https://openalex.org/W3041830855","doi":"https://doi.org/10.1155/2020/8323865","title":"A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations","display_name":"A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations","publication_year":2020,"publication_date":"2020-07-09","ids":{"openalex":"https://openalex.org/W3041830855","doi":"https://doi.org/10.1155/2020/8323865","mag":"3041830855"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8323865","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8323865","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8323865.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/8323865.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101804509","display_name":"Pengjie Liu","orcid":"https://orcid.org/0000-0002-9176-6321"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Liu","raw_affiliation_strings":["College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066627199","display_name":"Jinbao Jian","orcid":"https://orcid.org/0000-0001-8048-7397"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbao Jian","raw_affiliation_strings":["College of Mathematics and Physics, Guangxi University for Nationalities, Nanning, Guangxi 530006, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Guangxi University for Nationalities, Nanning, Guangxi 530006, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032551201","display_name":"Xianzhen Jiang","orcid":"https://orcid.org/0000-0001-7727-7583"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianzhen Jiang","raw_affiliation_strings":["College of Mathematics and Physics, Guangxi University for Nationalities, Nanning, Guangxi 530006, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Guangxi University for Nationalities, Nanning, Guangxi 530006, China","institution_ids":["https://openalex.org/I167274908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032551201"],"corresponding_institution_ids":["https://openalex.org/I167274908"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":2.1565,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86314577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.8573381304740906},{"id":"https://openalex.org/keywords/nonlinear-conjugate-gradient-method","display_name":"Nonlinear conjugate gradient method","score":0.6520423889160156},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.6384584903717041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6344455480575562},{"id":"https://openalex.org/keywords/derivation-of-the-conjugate-gradient-method","display_name":"Derivation of the conjugate gradient method","score":0.6238720417022705},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6156686544418335},{"id":"https://openalex.org/keywords/conjugate-residual-method","display_name":"Conjugate residual method","score":0.5986548066139221},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5807999968528748},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5385786890983582},{"id":"https://openalex.org/keywords/line-search","display_name":"Line search","score":0.5357251763343811},{"id":"https://openalex.org/keywords/projection-method","display_name":"Projection method","score":0.5259081125259399},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.5116980075836182},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.4845384955406189},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44505321979522705},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.42531734704971313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3190832734107971},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.29074621200561523},{"id":"https://openalex.org/keywords/dykstras-projection-algorithm","display_name":"Dykstra's projection algorithm","score":0.2690892219543457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2664646506309509},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.1903599500656128},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1263047158718109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06680485606193542}],"concepts":[{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.8573381304740906},{"id":"https://openalex.org/C26362088","wikidata":"https://www.wikidata.org/wiki/Q17086453","display_name":"Nonlinear conjugate gradient method","level":4,"score":0.6520423889160156},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.6384584903717041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6344455480575562},{"id":"https://openalex.org/C198562538","wikidata":"https://www.wikidata.org/wiki/Q5262612","display_name":"Derivation of the conjugate gradient method","level":5,"score":0.6238720417022705},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6156686544418335},{"id":"https://openalex.org/C91394653","wikidata":"https://www.wikidata.org/wiki/Q5161159","display_name":"Conjugate residual method","level":4,"score":0.5986548066139221},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5385786890983582},{"id":"https://openalex.org/C85522705","wikidata":"https://www.wikidata.org/wiki/Q3278015","display_name":"Line search","level":3,"score":0.5357251763343811},{"id":"https://openalex.org/C65557600","wikidata":"https://www.wikidata.org/wiki/Q7249451","display_name":"Projection method","level":3,"score":0.5259081125259399},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.5116980075836182},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.4845384955406189},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44505321979522705},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.42531734704971313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3190832734107971},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.29074621200561523},{"id":"https://openalex.org/C202426404","wikidata":"https://www.wikidata.org/wiki/Q5318686","display_name":"Dykstra's projection algorithm","level":2,"score":0.2690892219543457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2664646506309509},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.1903599500656128},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1263047158718109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06680485606193542},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/8323865","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8323865","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8323865.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8323865","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/8323865.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:e3c1eb716a34405bbe87bf6271c488eb","is_oa":true,"landing_page_url":"https://doaj.org/article/e3c1eb716a34405bbe87bf6271c488eb","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":"Complexity, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8323865","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8323865","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/8323865.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2500223858","display_name":null,"funder_award_id":"11771383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2807955155","display_name":null,"funder_award_id":"11771383","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3539971732","display_name":null,"funder_award_id":"2016GXNSFAA380028","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G3575621934","display_name":null,"funder_award_id":"2016GXNSF","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G407167968","display_name":null,"funder_award_id":"2018GXNSFFA281007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4256693692","display_name":null,"funder_award_id":"2016GXNSFAA380028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6924031904","display_name":null,"funder_award_id":"2018GXNSFFA281007","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G7614905383","display_name":null,"funder_award_id":"2018KJQD02","funder_id":"https://openalex.org/F4320322816","funder_display_name":"Guangxi University for Nationalities"},{"id":"https://openalex.org/G7944588473","display_name":null,"funder_award_id":"2018KJQD02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G843937430","display_name":null,"funder_award_id":"2018KJQD02","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320322816","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48"},{"id":"https://openalex.org/F4320327522","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041830855.pdf","grobid_xml":"https://content.openalex.org/works/W3041830855.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1159291337","https://openalex.org/W1691516306","https://openalex.org/W1984506280","https://openalex.org/W1985229624","https://openalex.org/W1986350092","https://openalex.org/W1987583991","https://openalex.org/W2004777087","https://openalex.org/W2014528048","https://openalex.org/W2019015034","https://openalex.org/W2024685678","https://openalex.org/W2028169909","https://openalex.org/W2053129565","https://openalex.org/W2053344134","https://openalex.org/W2074191451","https://openalex.org/W2109449402","https://openalex.org/W2149454052","https://openalex.org/W2159930734","https://openalex.org/W2312594785","https://openalex.org/W2333105306","https://openalex.org/W2539625744","https://openalex.org/W2547445076","https://openalex.org/W2756258114","https://openalex.org/W2788034879","https://openalex.org/W2790033804","https://openalex.org/W2803263628","https://openalex.org/W2893446760","https://openalex.org/W2898292060","https://openalex.org/W2899283552","https://openalex.org/W2901247061","https://openalex.org/W2928693584","https://openalex.org/W2944005514","https://openalex.org/W2999404547","https://openalex.org/W3007377825","https://openalex.org/W4251578279"],"related_works":["https://openalex.org/W2183734858","https://openalex.org/W4229957265","https://openalex.org/W3107945686","https://openalex.org/W2358414513","https://openalex.org/W2349115186","https://openalex.org/W2355738879","https://openalex.org/W2356365850","https://openalex.org/W2375347328","https://openalex.org/W2383960336","https://openalex.org/W4319027779"],"abstract_inverted_index":{"The":[0],"conjugate":[1,26,52],"gradient":[2,53],"projection":[3,54],"method":[4,55,71,87,98,105],"is":[5,28,41,56,72,99,106],"one":[6],"of":[7,81,113],"the":[8,32,45,69,85,96,103,111],"most":[9],"effective":[10],"methods":[11],"for":[12,58,84],"solving":[13],"large-scale":[14,59],"monotone":[15,60],"nonlinear":[16,61],"equations":[17,62],"with":[18,63,110],"convex":[19,64],"constraints.":[20,65],"In":[21],"this":[22],"paper,":[23],"a":[24,50],"new":[25,51],"parameter":[27],"designed":[29],"to":[30,43,74,108],"generate":[31],"search":[33,39],"direction,":[34],"and":[35,48,88],"an":[36],"adaptive":[37],"line":[38],"strategy":[40],"improved":[42],"yield":[44],"step":[46],"size,":[47],"then,":[49],"proposed":[57,70,104],"Under":[66],"mild":[67],"conditions,":[68],"proved":[73],"be":[75],"globally":[76],"convergent.":[77],"A":[78],"large":[79],"number":[80],"numerical":[82],"experiments":[83],"presented":[86,97],"its":[89],"comparisons":[90],"are":[91],"executed,":[92],"which":[93],"indicates":[94],"that":[95],"very":[100],"promising.":[101],"Finally,":[102],"applied":[107],"deal":[109],"recovery":[112],"sparse":[114],"signals.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
