scholarly journals A physics‐based universal indicator for vertical decoupling and mixing across canopies architectures and dynamic stabilities

Author(s):  
O. Peltola ◽  
K. Lapo ◽  
C. K. Thomas
Keyword(s):  
2021 ◽  
Author(s):  
Ming-Xing Li ◽  
Yi-Tao Sun ◽  
Chao Wang ◽  
Li-Wei Hu ◽  
Sungwoo Sohn ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Andrey Viktorovich Podlazov

I investigate the nature of the upper critical dimension for isotropic conservative sandpile models and calculate the emerging logarithmic corrections to power-law distributions. I check the results experimentally using the case of Manna model with the theoretical solution known for all statement starting from the two-dimensional one. In addition, based on this solution, I construct a non-trivial super-universal indicator for this model. It characterizes the distribution of avalanches by time the border of their region needs to pass its width.


1993 ◽  
Vol 70 (5) ◽  
pp. 406
Author(s):  
Howard Moore ◽  
Elizabeth B. Moore

2019 ◽  
Author(s):  
Maria F. Camões ◽  
Gary D. Christian ◽  
David Brynn Hibbert
Keyword(s):  

1956 ◽  
Vol 33 (10) ◽  
pp. 517 ◽  
Author(s):  
F. R. Richardson
Keyword(s):  

2019 ◽  
Vol 81 (2) ◽  
pp. 14-24 ◽  
Author(s):  
O.B. Tashyrev ◽  
◽  
I.B. Sioma ◽  
G.O. Tashyreva ◽  
V.M. Hovorukha ◽  
...  

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 3682-3682
Author(s):  
Young Soo Lee ◽  
Chul Soo Kim ◽  
Jong Weon Choi

Abstract The serum transferrin receptor (sTfR) is thought a sensitive and quantitative parameter of tissue iron deficiency as well as an indicator of erythropoietic activity. This study was aimed at the verification of a hypothesis that sTfR is a general indicator of erythropoiesis regardless whatever the cause is. A total of 173 patients in heterogeneous diseases who underwent bone marrow study as a workup for anemia were measured for sTfR, reticulocyte maturity index (RMI), erythroid element proportion of bone marrow cells, and other hematologic parameters (hemoglobin, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin concentration, red cell distribution width, absolute reticulocyte count). By immunoenzymometric method sTfR was measured using IDeATMcTfR kids (Orion Diagnostica, Orion, Finland). Reticulocyte count and proportion was measured manually by one expert examiner after standard blood smear and stain. Reticulocyte subpopulation was automatically analyzed by flow cytometry using R-3000 TM (Sysmex, TOA, Japan). RMI was calculated from the equation of (medium fluorescent reticulocyte fraction + high fluorescent reticulocyte fraction) X 100 / low fluorescent reticulocyte fraction. Correlation analysis was done among the variables including sTfR, RMI, erythroid element proportion of bone marrow cells, and other hematologic parameters using SAS 6.12 soft ware. The analysis was carried out for the whole 173 patients to see the general trends and repeated for 4 groups of disease category, arbitrarily divided to group 1 (n=33, iron deficiency or or disease with no predisposition to anemia of chronic disease), group 2 (n=53, hematologic malignancies), group 3 (n=44, solid tumors), and group 4 (n=43, chronic or infectious disease) to see if the trends may be affected by specific diseases. The results showed a solid correlation of sTfR with RMI as well as erythroid precursors in bone marrow, not only in the whole patient population (e.g. sTfR vs RMI, R=0.587, p=0.0001) but also in individual groups (e.g. sTfR vs RMI, R=0.48, p=0.005 in group 1, R=0.69, p=0.0001 in group 2, R=0.58, p=0.0001 in group 3, R=0.81, p=0.0001 in group 4). These findings indicated the significance of sTfR is valid under any clinical setting as a universal indicator of hematopoietic activity. The sTfR can be used as a useful parameter for monitoring of erythropoiesis in a variety disease.


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