http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36496321
Outgoing Links
Predicate
Object
contentType
Journal Article
issn
2405-8440
issueIdentifier
9
pageRange
e19406-
publicationName
Heliyon
startingPage
e19406
hasFundingAgency
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_69dbdc876660037ffa829e41959dd9c1
bibliographicCitation
Shu Q, Li Y, Gao W. Emergency treatment mechanism of laboratory safety accidents in university based on IoT and context aware computing. Heliyon. 2023 Sep;9(9):e19406. doi: 10.1016/j.heliyon.2023.e19406.
creator
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0b954baf86ee02fa23a94a70f1f89470
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b12e6435f53bff729750290cea503024
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bb530bad5ad88764ee0c10914aa739ce
date
202309
identifier
https://doi.org/10.1016/j.heliyon.2023.e19406
https://pubmed.ncbi.nlm.nih.gov/PMC10481304
https://pubmed.ncbi.nlm.nih.gov/37681139
isPartOf
https://portal.issn.org/resource/ISSN/2405-8440
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/44637
language
English
source
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title
Emergency treatment mechanism of laboratory safety accidents in university based on IoT and context aware computing
Total number of triples:
21
.