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https://read.qxmd.com/read/24031994/heavy-metal-tolerance-cr-ag-and-hg-in-bacteria-isolated-from-sewage
#1
JOURNAL ARTICLE
Agostinho A Lima de Silva, Márcia A Ribeiro de Carvalho, Sérgio A L de Souza, Patrícia M Teixeira Dias, Renato G da Silva Filho, Carmen S de Meirelles Saramago, Cleonice A de Melo Bento, Ernesto Hofer
Samples of sewage from a university hospital and a chemistry technical school were analysed for the percentage of bacterial tolerance to chromium (Cr), silver (Ag) and mercury (Hg). Additionally, we investigated the effect of these metals on pigmentation and on some enzymatic activities of the metal tolerant strains isolated, as well as antimicrobial resistance in some metal tolerant Enterobacteriaceae strains. Tolerance to Cr was observed mainly in Gram positive bacteria while in the case of Ag and Hg the tolerant bacteria were predominately Gram negative...
October 2012: Brazilian Journal of Microbiology: [publication of the Brazilian Society for Microbiology]
https://read.qxmd.com/read/18001885/prediction-of-respiratory-measurements-based-on-cross-embedding-techniques
#2
JOURNAL ARTICLE
Suren I Rathnayake, Udantha R Abeyratne
Measurements of multiple physiological signals are required for diagnostic procedures such as for sleep disordered breathing. Accuracy of automated diagnostic procedures and home based screening methods can be affected when phisiological measurements contains artifacts or signal losses. We investigate on predicting one physiological signal measurement from others, using dependencies exists in physiological signals, in order to obtain a measure of reliability to the measurements. Modeling such relationships are done with the use of artificial neural networks...
2007: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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