{"id":"https://openalex.org/W3049241829","doi":"https://doi.org/10.1088/2632-2153/abd916","title":"Classification of diffraction patterns in single particle imaging experiments performed at x-ray free-electron lasers using a convolutional neural network","display_name":"Classification of diffraction patterns in single particle imaging experiments performed at x-ray free-electron lasers using a convolutional neural network","publication_year":2021,"publication_date":"2021-01-06","ids":{"openalex":"https://openalex.org/W3049241829","doi":"https://doi.org/10.1088/2632-2153/abd916","mag":"3049241829"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/abd916","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abd916","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abd916/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abd916/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Alexandr Ignatenko","orcid":null},"institutions":[{"id":"https://openalex.org/I2801876189","display_name":"Deutsches Elektronen-Synchrotron DESY","ror":"https://ror.org/01js2sh04","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801876189"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexandr Ignatenko","raw_affiliation_strings":["Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany","institution_ids":["https://openalex.org/I2801876189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dameli Assalauova","orcid":null},"institutions":[{"id":"https://openalex.org/I2801876189","display_name":"Deutsches Elektronen-Synchrotron DESY","ror":"https://ror.org/01js2sh04","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801876189"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dameli Assalauova","raw_affiliation_strings":["Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany","institution_ids":["https://openalex.org/I2801876189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sergey A Bobkov","orcid":null},"institutions":[{"id":"https://openalex.org/I2800235667","display_name":"Kurchatov Institute","ror":"https://ror.org/00n1nz186","country_code":"RU","type":"facility","lineage":["https://openalex.org/I2800235667"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey A Bobkov","raw_affiliation_strings":["National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia","institution_ids":["https://openalex.org/I2800235667"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luca Gelisio","orcid":null},"institutions":[{"id":"https://openalex.org/I2801876189","display_name":"Deutsches Elektronen-Synchrotron DESY","ror":"https://ror.org/01js2sh04","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801876189"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Luca Gelisio","raw_affiliation_strings":["Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany","institution_ids":["https://openalex.org/I2801876189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anton B Teslyuk","orcid":null},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I2800235667","display_name":"Kurchatov Institute","ror":"https://ror.org/00n1nz186","country_code":"RU","type":"facility","lineage":["https://openalex.org/I2800235667"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton B Teslyuk","raw_affiliation_strings":["Moscow Institute of Physics and Technology, Institutskiy per. 9, 141701 Dolgoprudny, Moscow region, Russia","National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow Institute of Physics and Technology, Institutskiy per. 9, 141701 Dolgoprudny, Moscow region, Russia","institution_ids":["https://openalex.org/I153845743"]},{"raw_affiliation_string":"National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia","institution_ids":["https://openalex.org/I2800235667"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Viacheslav A Ilyin","orcid":null},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]},{"id":"https://openalex.org/I2800235667","display_name":"Kurchatov Institute","ror":"https://ror.org/00n1nz186","country_code":"RU","type":"facility","lineage":["https://openalex.org/I2800235667"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Viacheslav A Ilyin","raw_affiliation_strings":["ITMO University, Kronverksky Pr. 49, 197101 St. Petersburg, Russia","Moscow Institute of Physics and Technology, Institutskiy per. 9, 141701 Dolgoprudny, Moscow region, Russia","National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University, Kronverksky Pr. 49, 197101 St. Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"Moscow Institute of Physics and Technology, Institutskiy per. 9, 141701 Dolgoprudny, Moscow region, Russia","institution_ids":["https://openalex.org/I153845743"]},{"raw_affiliation_string":"National Research Centre \u2018Kurchatov Institute\u2019, pl. Akademika Kurchatova 1, 123182 Moscow, Russia","institution_ids":["https://openalex.org/I2800235667"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ivan A Vartanyants","orcid":"https://orcid.org/0000-0002-0340-8234"},"institutions":[{"id":"https://openalex.org/I2801876189","display_name":"Deutsches Elektronen-Synchrotron DESY","ror":"https://ror.org/01js2sh04","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801876189"]},{"id":"https://openalex.org/I887846188","display_name":"National Research Nuclear University MEPhI","ror":"https://ror.org/04w8z7f34","country_code":"RU","type":"education","lineage":["https://openalex.org/I887846188"]}],"countries":["DE","RU"],"is_corresponding":true,"raw_author_name":"Ivan A Vartanyants","raw_affiliation_strings":["Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany","National Research Nuclear University MEPhI, Kashirshkoe sh. 31, 115409 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0002-0340-8234","affiliations":[{"raw_affiliation_string":"Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany","institution_ids":["https://openalex.org/I2801876189"]},{"raw_affiliation_string":"National Research Nuclear University MEPhI, Kashirshkoe sh. 31, 115409 Moscow, Russia","institution_ids":["https://openalex.org/I887846188"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801876189","https://openalex.org/I887846188"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":3.3282,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92486438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"2","first_page":"025014","last_page":"025014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9480000138282776,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9480000138282776,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12762","display_name":"Crystallography and Radiation Phenomena","score":0.01730000041425228,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11162","display_name":"Enzyme Structure and Function","score":0.012900000438094139,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7515000104904175},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.671999990940094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5795999765396118},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5357999801635742},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.52920001745224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5242999792098999},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4918000102043152},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4185999929904938}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7515000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808000206947327},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.671999990940094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652899980545044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5795999765396118},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5357999801635742},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5242999792098999},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4918000102043152},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3319000005722046},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/abd916","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abd916","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abd916/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2008.07288","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07288","pdf_url":"https://arxiv.org/pdf/2008.07288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/abd916","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abd916","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abd916/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7335658107","display_name":null,"funder_award_id":"HRSF-0002","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G8190779305","display_name":null,"funder_award_id":"18-41-06001","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3049241829.pdf","grobid_xml":"https://content.openalex.org/works/W3049241829.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1625860372","https://openalex.org/W1984370357","https://openalex.org/W2022632140","https://openalex.org/W2031489346","https://openalex.org/W2035612809","https://openalex.org/W2043134292","https://openalex.org/W2049633694","https://openalex.org/W2050954271","https://openalex.org/W2055453593","https://openalex.org/W2056026917","https://openalex.org/W2081303918","https://openalex.org/W2082571336","https://openalex.org/W2117539524","https://openalex.org/W2117566467","https://openalex.org/W2144054043","https://openalex.org/W2159759190","https://openalex.org/W2191271991","https://openalex.org/W2334411327","https://openalex.org/W2648186469","https://openalex.org/W2783649616","https://openalex.org/W2789699080","https://openalex.org/W2890339033","https://openalex.org/W2920602627","https://openalex.org/W2921643292","https://openalex.org/W3006764191","https://openalex.org/W3025790685","https://openalex.org/W3032099608","https://openalex.org/W3037831024","https://openalex.org/W3093254596","https://openalex.org/W3104542311","https://openalex.org/W6679349572","https://openalex.org/W6684191040","https://openalex.org/W6698183232","https://openalex.org/W6731892127","https://openalex.org/W6739365718","https://openalex.org/W6739622702","https://openalex.org/W6750227808"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Single":[1],"particle":[2],"imaging":[3],"(SPI)":[4],"is":[5,95],"a":[6,47,90,106,161],"promising":[7],"method":[8],"of":[9,21,27,49,93,124,172,179],"native":[10],"structure":[11],"determination,":[12],"which":[13],"has":[14,46],"undergone":[15],"fast":[16,79],"progress":[17],"with":[18,131,144,175],"the":[19,35,78,99,122,127,140],"development":[20],"x-ray":[22],"free-electron":[23],"lasers.":[24],"Large":[25],"amounts":[26],"data":[28,39,43,94,116,143,146,189],"are":[29,63,151],"collected":[30],"during":[31],"SPI":[32,118,142],"experiments,":[33],"driving":[34],"need":[36],"for":[37,126,153,166],"automated":[38],"analysis.":[40],"The":[41,148],"necessary":[42],"analysis":[44],"pipeline":[45],"number":[48],"steps":[50],"including":[51],"binary":[52],"object":[53,61,80],"classification":[54,125],"(single":[55],"versus":[56],"non-single":[57],"hits).":[58],"Classification":[59],"and":[60,84,134,177,182],"detection":[62],"areas":[64],"where":[65],"deep":[66],"neural":[67,100,108],"networks":[68,82],"currently":[69],"outperform":[70],"other":[71],"approaches.":[72],"In":[73],"this":[74],"work,":[75],"we":[76],"use":[77],"detector":[81],"YOLOv2":[83,165],"YOLOv3.":[85],"By":[86],"exploiting":[87],"transfer":[88],"learning,":[89],"moderate":[91],"amount":[92],"sufficient":[96],"to":[97,114,139,187],"train":[98],"network.":[101],"We":[102,120],"demonstrate":[103],"here":[104],"that":[105],"convolutional":[107],"network":[109],"can":[110],"be":[111],"successfully":[112],"used":[113],"classify":[115],"from":[117],"experiments.":[119],"compare":[121],"results":[123,150],"two":[128],"different":[129,132,145],"networks,":[130],"depth":[133],"architecture,":[135],"by":[136,157],"applying":[137],"them":[138],"same":[141],"representation.":[147],"best":[149],"obtained":[152],"diffracted":[154],"intensity":[155],"represented":[156],"color":[158],"images":[159],"on":[160],"linear":[162],"scale":[163],"using":[164],"classification.":[167,190],"It":[168],"shows":[169],"an":[170],"accuracy":[171],"about":[173,180],"95%":[174],"precision":[176],"recall":[178],"50%":[181],"60%,":[183],"respectively,":[184],"in":[185],"comparison":[186],"manual":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2020-08-21T00:00:00"}
