{"id":"https://openalex.org/W4413754720","doi":"https://doi.org/10.1109/tce.2025.3603229","title":"Kernel Quaternion Principal Component Analysis of Eye and Head Dynamics for Depression Severity Prediction","display_name":"Kernel Quaternion Principal Component Analysis of Eye and Head Dynamics for Depression Severity Prediction","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W4413754720","doi":"https://doi.org/10.1109/tce.2025.3603229"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3603229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3603229","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5051376589","display_name":"Kevin Hung","orcid":"https://orcid.org/0000-0002-5421-7622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Hung","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5421-7622","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084150003","display_name":"Gary Man-Tat Man","orcid":"https://orcid.org/0009-0000-7822-8871"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gary Man-Tat Man","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0000-7822-8871","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwok-Tai Chui","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7992-9901","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085722138","display_name":"Daniel H. K. Chow","orcid":"https://orcid.org/0000-0001-9333-4920"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Daniel Hung-Kay Chow","raw_affiliation_strings":["Department of Health and Physical Education, The Education University of Hong Kong, Siu Lek Yuen, Hong Kong","Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9333-4920","affiliations":[{"raw_affiliation_string":"Department of Health and Physical Education, The Education University of Hong Kong, Siu Lek Yuen, Hong Kong","institution_ids":["https://openalex.org/I4210086892"]},{"raw_affiliation_string":"Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210086892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022036826","display_name":"Bingo Wing\u2010Kuen Ling","orcid":"https://orcid.org/0000-0002-0633-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingo Wing-Kuen Ling","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","School of Information Engineering, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-0633-7224","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048442222","display_name":"Sio Hang Pun","orcid":"https://orcid.org/0000-0002-8648-2092"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Sio-Hang Pun","raw_affiliation_strings":["State Key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China","State key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-8648-2092","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027754070","display_name":"Tai-Wa Liu","orcid":"https://orcid.org/0000-0001-9055-5197"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tai-Wa Liu","raw_affiliation_strings":["School of Nursing and Health Studies, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Nursing and Health Studies, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082547911","display_name":"Shuqiang Wang","orcid":"https://orcid.org/0000-0003-1119-320X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1119-320X","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2288,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81119666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"71","issue":"4","first_page":"9904","last_page":"9919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.186599999666214,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.186599999666214,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.043800000101327896,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.03660000115633011,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8077990412712097},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.598568856716156},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5446133613586426},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5120156407356262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5039488673210144},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49791455268859863},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4759490191936493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4272989332675934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42604827880859375},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.41003793478012085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.377393901348114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32694411277770996},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21085959672927856},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.19794967770576477},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13056457042694092},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11056563258171082},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10415518283843994},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09728142619132996}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8077990412712097},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.598568856716156},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5446133613586426},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5120156407356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5039488673210144},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49791455268859863},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4759490191936493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4272989332675934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42604827880859375},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.41003793478012085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.377393901348114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32694411277770996},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21085959672927856},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.19794967770576477},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13056457042694092},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11056563258171082},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10415518283843994},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09728142619132996},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3603229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3603229","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6990029667","display_name":null,"funder_award_id":"UGC/FDS16/E18/23","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1985765492","https://openalex.org/W2023334490","https://openalex.org/W2068346015","https://openalex.org/W2069222481","https://openalex.org/W2086528613","https://openalex.org/W2113482204","https://openalex.org/W2140095548","https://openalex.org/W2154456984","https://openalex.org/W2509215960","https://openalex.org/W2530305026","https://openalex.org/W2531271152","https://openalex.org/W2558919063","https://openalex.org/W2587572487","https://openalex.org/W2618534374","https://openalex.org/W2746462877","https://openalex.org/W2766122029","https://openalex.org/W2767043218","https://openalex.org/W2800279828","https://openalex.org/W2803017656","https://openalex.org/W2807126412","https://openalex.org/W2900180351","https://openalex.org/W2911288611","https://openalex.org/W2960672642","https://openalex.org/W2962762902","https://openalex.org/W2965413254","https://openalex.org/W2972853497","https://openalex.org/W2978855205","https://openalex.org/W2981501230","https://openalex.org/W2981660166","https://openalex.org/W2981677410","https://openalex.org/W3016587134","https://openalex.org/W3033450351","https://openalex.org/W3048247926","https://openalex.org/W3121941930","https://openalex.org/W3158733189","https://openalex.org/W3166254754","https://openalex.org/W3208497351","https://openalex.org/W3211545390","https://openalex.org/W4220891507","https://openalex.org/W4246449400","https://openalex.org/W4283815599","https://openalex.org/W4288704366","https://openalex.org/W4313443450","https://openalex.org/W4317930612","https://openalex.org/W4321385057","https://openalex.org/W4360860566","https://openalex.org/W4366087621","https://openalex.org/W4378421675","https://openalex.org/W4384916583","https://openalex.org/W4387445725","https://openalex.org/W4389104743","https://openalex.org/W4389624894","https://openalex.org/W4391249099","https://openalex.org/W4391537568","https://openalex.org/W4394613925","https://openalex.org/W4400188627","https://openalex.org/W4401337284","https://openalex.org/W4402343054","https://openalex.org/W4405707338","https://openalex.org/W4406753812","https://openalex.org/W4408258589","https://openalex.org/W4413451230"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W2388959921","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W4404440911","https://openalex.org/W2139392257"],"abstract_inverted_index":{"Depression":[0],"is":[1,108,121,200],"a":[2,26,72,103,124,136,145,217],"global":[3],"mental":[4,194,238],"health":[5,195],"challenge":[6],"that":[7,16,75],"necessitates":[8],"accurate":[9],"and":[10,22,28,40,59,87,99,144,168,182,210,219,226],"timely":[11],"diagnosis.":[12],"Studies":[13],"have":[14],"shown":[15],"features":[17,84],"extracted":[18],"from":[19,85],"eye":[20,86,181],"dynamics":[21],"head":[23,88,183],"movements":[24],"constitute":[25],"non-invasive":[27],"real-time":[29],"means":[30],"of":[31,56,142,150,166,171,188,228],"monitoring":[32],"behavioral":[33],"biomarkers":[34],"associated":[35],"with":[36,135,163,233],"depression.":[37],"However,":[38],"representing":[39],"analyzing":[41],"these":[42],"high-dimensional,":[43],"time-varying":[44],"signals":[45],"for":[46,203,208,222],"medical":[47],"diagnosis":[48],"poses":[49],"significant":[50],"challenges,":[51],"including":[52],"computational":[53],"inefficiency,":[54],"loss":[55],"temporal":[57,100],"information,":[58],"the":[60,155,158,186,223],"inability":[61],"to":[62,82,110,154,235],"capture":[63],"complex":[64],"interrelations":[65,98],"between":[66],"movement":[67],"channels.":[68],"This":[69],"paper":[70],"proposes":[71],"novel":[73],"algorithm":[74,159],"leverages":[76],"kernel":[77],"quaternion":[78,92,105],"principal":[79],"component":[80],"analysis":[81],"extract":[83],"dynamics,":[89,184],"represented":[90],"as":[91,213],"time":[93],"series":[94],"signals,":[95],"preserving":[96],"channel-wise":[97],"information.":[101],"Additionally,":[102],"model-based":[104],"interpolation":[106],"method":[107],"introduced":[109],"address":[111],"class":[112],"imbalance":[113],"by":[114,230],"augmenting":[115],"depression":[116,126,133,229],"samples.":[117],"The":[118,197],"proposed":[119,198],"approach":[120],"evaluated":[122],"on":[123,180],"benchmark":[125],"dataset,":[127,157],"demonstrating":[128],"superior":[129],"accuracy":[130],"in":[131,192,240],"predicting":[132],"severity":[134],"root":[137],"mean":[138,146],"square":[139],"error":[140,148],"(RMSE)":[141],"4.84":[143],"absolute":[147],"(MAE)":[149],"3.88.":[151],"When":[152],"applied":[153],"augmented":[156],"achieves":[160],"further":[161],"improvement,":[162],"an":[164,169],"RMSE":[165],"4.48":[167],"MAE":[170],"3.53.":[172],"These":[173],"results":[174],"outperform":[175],"previous":[176],"methods":[177],"based":[178],"solely":[179],"highlighting":[185],"potential":[187],"quaternion-based":[189],"signal":[190],"processing":[191],"advancing":[193],"diagnostics.":[196],"framework":[199],"particularly":[201],"promising":[202],"integration":[204],"into":[205],"consumer":[206],"systems":[207],"healthcare":[209],"wellbeing,":[211],"such":[212],"smart":[214],"eyewear,":[215],"offering":[216],"practical":[218],"accessible":[220],"solution":[221],"early":[224],"detection":[225],"intervention":[227],"equipping":[231],"individuals":[232],"tools":[234],"manage":[236],"their":[237],"wellbeing":[239],"everyday":[241],"life.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
