scholarly journals Analysis of double-substrate limited growth

1978 ◽  
Vol 20 (2) ◽  
pp. 183-202 ◽  
Author(s):  
F. G. Bader
Keyword(s):  
Limited Growth ◽  
Double Substrate

Design and analysis of experiments on double substrate-limited growth of Paracoccus denitrificans

1984 ◽  
Vol 50 (1) ◽  
pp. 102-102
Author(s):  
E. D. Schoen ◽  
M. A. E. van der Heijden ◽  
H. W. van Verseveld ◽  
A. H. Stouthamer ◽  
J. C. Jager
Keyword(s):  
Paracoccus Denitrificans ◽  
Limited Growth ◽  
Double Substrate

scholarly journals Double-substrate-limited growth of escherichia coli

1984 ◽  
Vol 26 (11) ◽  
pp. 1398-1401 ◽  
Author(s):  
A. L. Lee ◽  
M. M. Ataai ◽  
M. L. Shuler
Keyword(s):  
Escherichia Coli ◽  
Limited Growth ◽  
Double Substrate

Competition between nitrogen-fixing cyanobacteria during phosphorus-limited growth

1995 ◽  
Vol 32 (4) ◽  
pp. 99-101 ◽  
Author(s):  
W. T. (Pim) De Nobel ◽  
N. Staats ◽  
L. R. Mur
Keyword(s):  
Light Intensity ◽  
Competitive Advantage ◽  
Future Study ◽  
Nitrogen Fixing ◽  
Limited Growth

The phosphorus-limited growth of cultures of the nitrogen-fixing cyanobacteria Aphanizomenon and Anabaena was investigated. In conditions of nutrient and light excess Anabaena has a competitive advantage. The lower the light intensity conditions at which Aphanizomenon populations dominate are indicated for future study.

Diffusion limited growth-up of channels of ICF and its influence on integral flow through the channel

2009 ◽  
Vol 45 (4) ◽  
pp. 613-621
Author(s):  
V. Frishfelds ◽  
◽  
A. Jakovičs ◽  
B. Nacke ◽  
E. Baake ◽  
...  
Keyword(s):  
Limited Growth ◽  
Diffusion Limited ◽  
Flow Through

scholarly journals Analysis and Simulation of Epidemic COVID-19 Curves with the Verhulst Model Applied to Statistical Inhomogeneous Age Groups

2021 ◽  
Vol 11 (9) ◽  
pp. 4159
Author(s):  
Lode K. J. Vandamme ◽  
Paulo R. F. Rocha
Keyword(s):  
Mental Health ◽  
Exponential Growth ◽  
Characteristic Time ◽  
Age Groups ◽  
Recovery Phase ◽  
Limited Growth ◽  
Logistic Equations ◽  
Quantitative Understanding ◽  
Returning Travellers ◽  
Verhulst Model

Pandemic curves, such as COVID-19, often show multiple and unpredictable contamination peaks, often called second, third and fourth waves, which are separated by wide plateaus. Here, by considering the statistical inhomogeneity of age groups, we show a quantitative understanding of the different behaviour rules to flatten a pandemic COVID-19 curve and concomitant multi-peak recurrence. The simulations are based on the Verhulst model with analytical generalized logistic equations for the limited growth. From the log–lin plot, we observe an early exponential growth proportional to . The first peak is often τgrow @ 5 d. The exponential growth is followed by a recovery phase with an exponential decay proportional to . For the characteristic time holds: . Even with isolation, outbreaks due to returning travellers can result in a recurrence of multi-peaks visible on log–lin scales. The exponential growth for the first wave is faster than for the succeeding waves, with characteristic times, τ of about 10 d. Our analysis ascertains that isolation is an efficient method in preventing contamination and enables an improved strategy for scientists, governments and the general public to timely balance between medical burdens, mental health, socio-economic and educational interests.

The Formation of Cu3Si from Cu/a-Si Multilayers

1997 ◽  
Vol 481 ◽  
Author(s):  
R. R. Chromik ◽  
W. K. Neils ◽  
E. J. Cotts
Keyword(s):  
Diffusion Couples ◽  
X Ray Diffraction ◽  
Limited Growth ◽  
Scanning Calorimetry ◽  
Individual Layer ◽  
Diffusion Limited ◽  
Reaction Constant ◽  
Multilayered Composites ◽  
Reaction Constants ◽  
Kinetics Of

ABSTRACTThe kinetics of the formation of Cu3Si in Cu/a-Si diffusion couples have been investigated by means of differential scanning calorimetry and x-ray diffraction. Multilayered composites of average stoichiometry Cu3Si were prepared by sputter deposition with individual layer thicknesses varying in different samples between 2 and 100 nm. We observed diffusion limited growth of Cu3 Si upon annealing these diffusion couples below 500 K. Reaction constants were measured for a temperature range of 455 to 495 K for thicknesses of growing Cu3Si between 2.6 and 80 nm. The temperature dependence of the reaction constant, k2, was characterized as k2 = k0 exp(− Ea/kbT) with activation energy, Ea = 1.0 eV/atom and pre-factor, k0 = 1.9×10−3 cm2/s.

Computer model for glucose-limited growth of a single cell ofEscherichia coli B/r-A

2000 ◽  
Vol 67 (6) ◽  
pp. 827-840 ◽  
Author(s):  
M. M. Domach ◽  
S. K. Leung ◽  
R. E. Cahn ◽  
G. G. Cocks ◽  
M. L. Shuler
Keyword(s):  
Single Cell ◽  
Computer Model ◽  
Ofescherichia Coli ◽  
Limited Growth
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