Assessing the nutrition of juvenile hybrid poplar using a steady state technique and a mechanistic model

2003 ◽  
Vol 180 (1-3) ◽  
pp. 249-260 ◽  
Author(s):  
J.Michael Kelly ◽  
Tom Ericsson
2014 ◽  
Author(s):  
Mehrdad Zamirian ◽  
Kashy Kashy Aminian ◽  
Samuel Ameri ◽  
Ebrahim Fathi
Keyword(s):  

RSC Advances ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 998-1006
Author(s):  
Kannan Ramamurthy ◽  
Karunakaran Ponnusamy ◽  
Selvaraju Chellappan

Excitation-resolved area-normalized emission spectroscopy is a simple steady state method and equivalent to time-resolved area normalized emission spectroscopy for the analysis of heterogeneous fluorescence.


Author(s):  
Amine Meziou ◽  
Majdi Chaari ◽  
Matthew Franchek ◽  
Rafik Borji ◽  
Karolos Grigoriadis ◽  
...  

Presented are reduced-order models of one-dimensional transient two-phase gas–liquid flow in pipelines. The proposed model is comprised of a steady-state multiphase flow mechanistic model in series with a transient single-phase flow model in transmission lines. The steady-state model used in our formulation is a multiphase flow mechanistic model. This model captures the steady-state pressure drop and liquid holdup estimation for all pipe inclinations. Our implementation of this model will be validated against the Stanford University multiphase flow database. The transient portion of our model is based on a transmission line modal model. The model parameters are realized by developing equivalent fluid properties that are a function of the steady-state pressure gradient and liquid holdup identified through the mechanistic model. The model ability to reproduce the dynamics of multiphase flow in pipes is evaluated upon comparison to olga, a commercial multiphase flow dynamic code, using different gas volume fractions (GVF). The two models show a good agreement of the steady-state response and the frequency of oscillation indicating a similar estimation of the transmission line natural frequency. However, they present a discrepancy in the overshoot values and the settling time due to a difference in the calculated damping ratio. The utility of the developed low-dimensional model is the reduced computational burden of estimating transient multiphase flow in transmission lines, thereby enabling real-time estimation of pressure and flow rate.


2013 ◽  
Vol 44 ◽  
pp. 147-160 ◽  
Author(s):  
Constantin A. Hernández-Bocanegra ◽  
A. Humberto Castillejos E. ◽  
Francisco A. Acosta-González ◽  
Xiaoxu Zhou ◽  
Brian G. Thomas

2015 ◽  
Author(s):  
Sidhartha Goyal ◽  
Sanggu Kim ◽  
Irvin S. Y. Chen ◽  
Tom Chou

How a potentially diverse population of hematopoietic stem cells (HSCs) differentiates and proliferates to supply more than 1011mature blood cells every day in humans remains a key biological question. We investigated this process by quantitatively analyzing the clonal structure of peripheral blood that is generated by a population of transplanted lentivirus-marked HSCs in myeloablated rhesus macaques. Each transplanted HSC generates a clonal lineage of cells in the peripheral blood that is then detected and quantified through deep sequencing of the viral vector integration sites (VIS) common within each lineage. This approach allowed us to observe, over a period of 4-12 years, hundreds of distinct clonal lineages. Surprisingly, while the distinct clone sizes varied by three orders of magnitude, we found that collectively, they form a steady-state clone size-distribution with a distinctive shape. Our concise model shows that slow HSC differentiation followed by fast progenitor growth is responsible for the observed broad clone size distribution. Although all cells are assumed to be statistically identical, analogous to a neutral theory for the different clone lineages, our mathematical approach captures the intrinsic variability in the times to HSC differentiation after transplantation. Steady-state solutions of our model show that the predicted clone size-distribution is sensitive to only two combinations of parameters. By fitting the measured clone size-distributions to our mechanistic model, we estimate both the effective HSC differentiation rate and the number of active HSCs.


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