Estimating the bacterial lag time: which model, which precision?
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Growth inhibition of S. cerevisiae, B. subtilis, and E. coli by lignocellulosic and fermentation productsFitness Trade-Offs Determine the Role of the Molecular Chaperonin GroEL in Buffering MutationsA random effect multiplicative heteroscedastic model for bacterial growth.Rapid biosensor for detection of antibiotic-selective growth of Escherichia coliUse of stochastic models to assess the effect of environmental factors on microbial growth.Incorporating prior knowledge improves detection of differences in bacterial growth rateComparison of Primary Models to Predict Microbial Growth by the Plate Count and Absorbance MethodsExperimental and Theoretical Investigation of Multispecies Oral Biofilm Resistance to Chlorhexidine TreatmentMicrobial growth curves: what the models tell us and what they cannot.Growth Kinetics of Listeria monocytogenes in Cut Produce.A Gompertz Model Approach to Microbial Inactivation Kinetics by High-Pressure Processing (HPP): Model Selection and Experimental Validation.Growth and Modeling of Staphylococcus aureus in Flour Products under Isothermal and Nonisothermal Conditions.Growth of Listeria monocytogenes in Thawed Frozen Foods.The importance of lag time extension in determining bacterial resistance to antibiotics.Genome-wide transcriptional responses to carbon starvation in nongrowing Lactococcus lactis.Mathematical model of adherent Vero cell growth and poliovirus production in animal component free medium.Growth comparison of several Escherichia coli strains exposed to various concentrations of lactoferrin using linear spline regression.Lag phase of Salmonella enterica under osmotic stress conditions.Prediction of acid lactic-bacteria growth in turkey ham processed by high hydrostatic pressure.Photoperiod and temperature responses of bud swelling and bud burst in four temperate forest tree species.Mathematical models of cytotoxic effects in endpoint tumor cell line assays: critical assessment of the application of a single parametric value as a standard criterion to quantify the dose-response effects and new unexplored proposal formats.Comparing uncertainty resulting from two-step and global regression procedures applied to microbial growth models.Development and validation of primary, secondary, and tertiary models for growth of Salmonella Typhimurium on sterile chicken.Responding to bioterror concerns by increasing milk pasteurization temperature would increase estimated annual deaths from listeriosis.Glycerol stress in Saccharomyces cerevisiae: Cellular responses and evolved adaptations.Microbial modeling of Alicyclobacillus acidoterrestris CRA 7152 growth in orange juice with nisin added.Antibacterial and Antibiofilm Activities of Psychorubrin, a Pyranonaphthoquinone Isolated From Mitracarpus frigidus (Rubiaceae).Predictive Microbiology Coupled with Gas (O2/CO2) Transfer in Food/Packaging Systems: How to Develop an Efficient Decision Support Tool for Food Packaging Dimensioning
P2860
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P2860
Estimating the bacterial lag time: which model, which precision?
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Estimating the bacterial lag time: which model, which precision?
@en
type
label
Estimating the bacterial lag time: which model, which precision?
@en
prefLabel
Estimating the bacterial lag time: which model, which precision?
@en
P1476
Estimating the bacterial lag time: which model, which precision?
@en
P2093
Florent Baty
P304
P356
10.1016/J.IJFOODMICRO.2003.07.002
P577
2004-03-01T00:00:00Z