scholarly journals Modeling and Prediction for Processes on Network Graphs

2020 ◽  
pp. 141-167
Author(s):  
Eric D. Kolaczyk ◽  
Gábor Csárdi
Keyword(s):  
Modeling And Prediction

Forest growth modeling and prediction (Volumes 1 & 2).

1988 ◽  
Author(s):  
Alan R. Ek ◽  
Stephen R. Shifley ◽  
Thomas E. Burk
Keyword(s):  
Growth Modeling ◽  
Forest Growth ◽  
Modeling And Prediction

scholarly journals Modeling and prediction of the transmission dynamics of COVID-19 based on the SINDy-LM method

2021 ◽  
Author(s):  
Yu-Xin Jiang ◽  
Xiong Xiong ◽  
Shuo Zhang ◽  
Jia-Xiang Wang ◽  
Jia-Chun Li ◽  
...  
Keyword(s):  
Transmission Dynamics ◽  
Modeling And Prediction

Modeling and Prediction of Frac-Pack Tool Erosion in Multizone Wells

2014 ◽  
Author(s):  
N.J. Clem ◽  
Z.S. Silva ◽  
A.M. McGuire ◽  
J. Imhoff
Keyword(s):  
Modeling And Prediction

scholarly journals In Silico Hemostasis Modeling and Prediction

2020 ◽  
Vol 40 (04) ◽  
pp. 524-535
Author(s):  
Dmitry Y. Nechipurenko ◽  
Aleksey M. Shibeko ◽  
Anastasia N. Sveshnikova ◽  
Mikhail A. Panteleev
Keyword(s):  
In Silico ◽  
Physiological Response ◽  
Platelet Adhesion ◽  
State Of The Art ◽  
Thrombus Formation ◽  
The State ◽  
Modeling And Prediction ◽  
Hemostatic System ◽  
Single Enzyme

AbstractComputational physiology, i.e., reproduction of physiological (and, by extension, pathophysiological) processes in silico, could be considered one of the major goals in computational biology. One might use computers to simulate molecular interactions, enzyme kinetics, gene expression, or whole networks of biochemical reactions, but it is (patho)physiological meaning that is usually the meaningful goal of the research even when a single enzyme is its subject. Although exponential rise in the use of computational and mathematical models in the field of hemostasis and thrombosis began in the 1980s (first for blood coagulation, then for platelet adhesion, and finally for platelet signal transduction), the majority of their successful applications are still focused on simulating the elements of the hemostatic system rather than the total (patho)physiological response in situ. Here we discuss the state of the art, the state of the progress toward the efficient “virtual thrombus formation,” and what one can already get from the existing models.

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