Lag is a temporary period of nonreplication seen in bacteria that are introduced to new
media. Despite latency being described by Müller in 1895, only recently have we gained …

This paper summarises recent trends in predictive modelling of microbial lag phenomena.
The lag phase is approached from both a qualitative and a quantitative point of view. First, a …

Nonlinear regression models are applied in a broad variety of scientific fields. Various R
functions are already dedicated to fitting such models, among which the function nls () has a …

Most of the models of microbial growth in food are Empirical algebraic, of which the
Gompertz model is the most notable, Rate equations, mostly variants of the Verhulst's …

Spring phenology of temperate forest trees is optimized to maximize the length of the
growing season while minimizing the risk of freezing damage. The release from winter …

Sigmoidal kinetic curves have been reported for a number of cooperative phenomena in
nature. These curves may be fit by purely mathematical functions that, however, do not …

It is widely appreciated that widespread antibiotic resistance has significantly reduced the
utility of today's antibiotics. Many antibiotics now fail to cure infectious diseases, although …

Nitrification is simulated in existing water quality models by multiplying the rate with the
attenuation factors for water temperature and dissolved oxygen. The effect of pH, substrates …

Quantitative modeling is quickly becoming an integral part of biology, due to the ability of
mathematical models and computer simulations to generate insights and predict the …

A rapid biosensor for the detection of bacterial growth was developed using
micromechanical oscillators coated by common nutritive layers. The change in resonance …