Sentence examples for most simple model from inspiring English sources
The most attractive area of application of possible magnetic effects is medicine: (1) bacteria are the most simple model of living organism for investigation of magnetic effects, (2) some bacteria play a significant role as infection agents, pathogens, or, in contrast, as beneficial symbionts of the human microbiota.
Even with the most simple model (M5), the correlation between day-wise estimates and measurements was 0.69 (0.012) (Table 3).
We would like to argue that a strength of our model is that we use one of the most simple model imaginable for actomyosin gels, yet this still reproduces very faithfully virtually all the features of our data.
In the case of monovalent receptors, the most simple model remains the classical Ligand-Receptor Binding Equilibrium equation: (1) where L will be the ligand and R the receptor.
To assess the impact of the model of sequence evolution on false-positive error rates of the tests, histograms of P values obtained for ρ = 0 were plotted for both the most simple model of sequence evolution and the model that included population growth and rate heterogeneity.
For all outcomes (PA, intake of fruit and vegetables), the most simple model with equality of the intervention effects (TPC = TMI = combined) and equality of that effect at all time points (weeks 25, 47, and 73) did not fit significantly worse than the two more complicated models.
hypothesis (independent and identically distributed) about the sites of an alignment is prevalent in the most simple models.
No substantial improvement of the predictions was achieved using the more complex models instead of the most simple Langmuir model.
The most simple stochastic model is given in the form of a stochastic delay differential equation (also called a diffusion process); we call it a delay Lotka-Volterra model with diffusion.
EA (Evolutionary Algorithm) is the most simple evolutionary model where neither hill-climbing search operators or diversification mechanism are engaged.
The most simple stochastic model to explain rapid expression evolution and DE gene enrichment in higher τ is that more factors or sites are involved in the expression regulation of tissue specifically expressed genes than for broadly expressed genes, and the probability of DE in tissue specifically expressed genes is higher than that in broadly expressed genes.
