Maximum initial growth-rate of strong-shock-driven Richtmyer-Meshkov instability

2017 ◽  
Vol 24 (9) ◽  
pp. 090702 ◽  
Author(s):  
Z. R. Dell ◽  
A. Pandian ◽  
A. K. Bhowmick ◽  
N. C. Swisher ◽  
M. Stanic ◽  
...  
Keyword(s):  
Growth Rate ◽  
Strong Shock ◽  
Initial Growth ◽  
Initial Growth Rate

Growth phenomenon in amorphous solids irradiated with GeV heavy ions: Electronic-energy-loss dependence of the initial growth rate

1996 ◽  
Vol 54 (22) ◽  
pp. 15690-15694 ◽  
Author(s):  
A. Audouard ◽  
J. Dural ◽  
M. Toulemonde ◽  
A. Lovas ◽  
G. Szenes ◽  
...  
Keyword(s):  
Growth Rate ◽  
Energy Loss ◽  
Heavy Ions ◽  
Amorphous Solids ◽  
Electronic Energy ◽  
Initial Growth ◽  
Initial Growth Rate ◽  
Growth Phenomenon

Growth rate dispersion by initial growth rate distributions and growth rate fluctuations

AIChE Journal ◽  
1987 ◽  
Vol 33 (1) ◽  
pp. 121-129 ◽  
Author(s):  
R. C. Zumstein ◽  
R. W. Rousseau
Keyword(s):  
Growth Rate ◽  
Initial Growth ◽  
Initial Growth Rate

scholarly journals Efficacy of Microarray Profiling Data Combined with QTL Mapping for the Identification of a QTL Gene Controlling the Initial Growth Rate in Rice

2012 ◽  
Vol 53 (4) ◽  
pp. 729-739 ◽  
Author(s):  
Kenji Yano ◽  
Tomonori Takashi ◽  
Shiro Nagamatsu ◽  
Mikiko Kojima ◽  
Hitoshi Sakakibara ◽  
...  
Keyword(s):  
Growth Rate ◽  
Qtl Mapping ◽  
Initial Growth ◽  
Initial Growth Rate ◽  
Microarray Profiling

scholarly journals Universal properties of the dynamics of the Covid-19 pandemics

2020 ◽  
Author(s):  
Piotr T. Chruściel ◽  
Sebastian J. Szybka
Keyword(s):  
Growth Rate ◽  
Lower Bound ◽  
Time Scale ◽  
Infected Individual ◽  
Initial Growth ◽  
Extinction Period ◽  
Present Evidence ◽  
Initial Growth Rate ◽  
Epidemic Curve ◽  
Universal Properties

We present evidence for existence of a universal lower bound for the initial growth rate of the epidemic curve of the SARS-CoV-2 coronavirus. This can be used to infer that, on average, an asymptomatic infected individual is infectious during 5.6 plus/minus 0.3 days. We further present evidence of an average time scale of 12 days for halving the number of new cases, or new deaths, during the extinction period of the first phase of the epidemic.

Microfluidic Sensor System for Initial Growth Rate Determination of Small Bacteria Samples

2020 ◽  
Vol 20 (13) ◽  
pp. 6849-6855
Author(s):  
Camilla Konermann ◽  
Frank Bunge ◽  
Sander van den Driesche ◽  
Michael J. Vellekoop
Keyword(s):  
Growth Rate ◽  
Sensor System ◽  
Initial Growth ◽  
Initial Growth Rate

Mental Growth from Six to Sixty in an Institutionalized Mentally Retarded Sample

1979 ◽  
Vol 45 (2) ◽  
pp. 643-646 ◽  
Author(s):  
A. B. Silverstein
Keyword(s):  
Growth Rate ◽  
Sex Differences ◽  
Growth Curves ◽  
Growing Season ◽  
Mentally Retarded ◽  
Chronological Age ◽  
Initial Growth ◽  
Initial Growth Rate ◽  
Longitudinal Method

The semi-longitudinal method was used to trace changes in the mental ages of 906 institutionalized mentally retarded subjects as a function of chronological age, and equations were fitted to the resulting growth curves. Sex differences proved to be relatively slight. The higher levels of retardation had a higher initial growth rate and a more pronounced decline at higher age levels than did the lower levels, but they did not have a longer growing season. In all but the last respect, the findings resembled those obtained by Fisher and Zeaman (1970).

scholarly journals Two strategies underlying the trade-off of hepatitis C virus proliferation: stay-at-home or leaving-home?

2019 ◽  
Author(s):  
Shoya Iwanami ◽  
Kosaku Kitagawa ◽  
Yusuke Asai ◽  
Hirofumi Ohashi ◽  
Kazane Nishioka ◽  
...  
Keyword(s):  
Growth Rate ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Progeny Virus ◽  
Target Cells ◽  
Initial Growth ◽  
Leaving Home ◽  
Initial Growth Rate ◽  
Infected Cells ◽  
At Home

AbstractViruses proliferate through both genome replication inside infected cells and transmission to new target cells or to new hosts. Each viral genome molecule in infected cells is used either for amplifying the intracellular genome as a template (“stay-at-home strategy”) or for packaging into progeny virions to be released extracellularly (“leaving-home strategy”). The balance between these strategies is important for both initial growth and transmission of viruses. In this study, we used hepatitis C virus (HCV) as a model system to study the functions of viral genomic RNA in both RNA replication in cells and in progeny virus assembly and release. Using viral infection assays combined with mathematical modelling, we characterized the dynamics of two different HCV strains (JFH-1, a clinical isolate, and Jc1-n, a laboratory strain), which have different viral assembly and release characteristics. We found that 1.27% and 3.28% of JFH-1 and Jc1-n intracellular viral RNAs, respectively, are used for producing and releasing progeny virions. Analysis of the Malthusian parameter of the HCV genome (i.e., initial growth rate) and the number of de novo infections (i.e., initial transmissibility) suggests that the leaving-home strategy provides a higher level of initial transmission for Jc1-n, while, in contrast, the stay-at-home strategy provides a higher initial growth rate for JFH-1. Thus, theoretical-experimental analysis of viral dynamics enables us to better understand the proliferation strategies of viruses. Ours is the first study to analyze stay-leave trade-offs during the viral life cycle and their significance for viral proliferation.

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