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- Q92768977 description "article scientifique publié en 2019" @default.
- Q92768977 description "artículu científicu espublizáu en mayu de 2019" @default.
- Q92768977 description "im Mai 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q92768977 description "scientific article published on 04 May 2019" @default.
- Q92768977 description "wetenschappelijk artikel" @default.
- Q92768977 description "наукова стаття, опублікована 4 травня 2019" @default.
- Q92768977 name "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 name "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 type Item @default.
- Q92768977 label "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 label "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 prefLabel "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 prefLabel "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 P1433 Q92768977-BF48D2DD-46E4-49B3-8333-4E76F6A6D325 @default.
- Q92768977 P1476 Q92768977-20AB5019-4D9E-4092-9949-EFB992031048 @default.
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- Q92768977 P304 Q92768977-579B0D21-92AC-4518-89EC-A63EDB93BEF3 @default.
- Q92768977 P31 Q92768977-DF0CB738-8CDF-4752-9086-28B317F1B960 @default.
- Q92768977 P356 Q92768977-A14D8763-0ED3-48EB-9C8D-D4293EA3E5EA @default.
- Q92768977 P478 Q92768977-E2CAD268-C975-4BFE-A7F2-5F2CF4ED3448 @default.
- Q92768977 P577 Q92768977-66674CCA-791A-4313-8B89-F0090B4DBE98 @default.
- Q92768977 P698 Q92768977-3C5E5DF4-ED75-48D3-89D4-96BE71B6A79E @default.
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- Q92768977 P921 Q92768977-9DE131B7-160B-402D-8DE3-89A3575958CA @default.
- Q92768977 P356 J.FM.2019.04.012 @default.
- Q92768977 P698 31202424 @default.
- Q92768977 P1433 Q15762223 @default.
- Q92768977 P1476 "An ordinal logistic regression approach to predict the variability on biofilm formation stages by five Salmonella enterica strains on polypropylene and glass surfaces as affected by pH, temperature and NaCl" @default.
- Q92768977 P2093 "Anderson S Sant'Ana" @default.
- Q92768977 P2093 "Ellen A Cruz" @default.
- Q92768977 P2093 "Juliana O Moraes" @default.
- Q92768977 P2093 "Marciane Magnani" @default.
- Q92768977 P2093 "Tereza C M Oliveira" @default.
- Q92768977 P2093 "Verônica Alvarenga" @default.
- Q92768977 P2093 "Ítalo Pinheiro" @default.
- Q92768977 P304 "95-103" @default.
- Q92768977 P31 Q13442814 @default.
- Q92768977 P356 "10.1016/J.FM.2019.04.012" @default.
- Q92768977 P478 "83" @default.
- Q92768977 P577 "2019-05-04T00:00:00Z" @default.
- Q92768977 P698 "31202424" @default.
- Q92768977 P921 Q2264864 @default.
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