scholarly journals Characterization of multicellular breast tumor spheroids using image data-driven biophysical mathematical modeling

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Haley J. Bowers ◽  
Emily E. Fannin ◽  
Alexandra Thomas ◽  
Jared A. Weis
Author(s):  
Haley Brooke Johnson ◽  
Emily E. Fannin ◽  
Alexandra Thomas ◽  
Jared A Weis

2020 ◽  
Vol 11 (1) ◽  
pp. 1-38
Author(s):  
Fabio Pierazzi ◽  
Ghita Mezzour ◽  
Qian Han ◽  
Michele Colajanni ◽  
V. S. Subrahmanian
Keyword(s):  

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1569
Author(s):  
Jesús Montejo-Gámez ◽  
Elvira Fernández-Ahumada ◽  
Natividad Adamuz-Povedano

This paper shows a tool for the analysis of written productions that allows for the characterization of the mathematical models that students develop when solving modeling tasks. For this purpose, different conceptualizations of mathematical models in education are discussed, paying special attention to the evidence that characterizes a school model. The discussion leads to the consideration of three components, which constitute the main categories of the proposed tool: the real system to be modeled, its mathematization and the representations used to express both. These categories and the corresponding analysis procedure are explained and illustrated through two working examples, which expose the value of the tool in establishing the foci of analysis when investigating school models, and thus, suggest modeling skills. The connection of this tool with other approaches to educational research on mathematical modeling is also discussed.


Structures ◽  
2021 ◽  
Vol 30 ◽  
pp. 134-145
Author(s):  
Sandeep Das ◽  
Subhrajit Dutta ◽  
Dibyendu Adak ◽  
Shubhankar Majumdar

2021 ◽  
Vol 80 (24) ◽  
Author(s):  
Dipankar Ruidas ◽  
Subodh Chandra Pal ◽  
Abu Reza Md. Towfiqul Islam ◽  
Asish Saha

Author(s):  
H. Fukanuma

Abstract Thermal spray layers are formed on rough surfaces; however, the flattening process on rough surfaces has not yet been clarified. A mathematical flattening model which takes into account the roughness of the substrate or previously coated layers is proposed in this paper. As a result of surface roughness, the flattening degree and the flattening time decrease with increasing surface roughness in this model. In addition, the characterization of surface roughness is introduced for the flattening model. Several calculated cases of the flattening model are shown.


Author(s):  
Ioannis T. Georgiou

A local damage at the tip of a composite propeller is diagnosed by properly comparing its impact-induced free coupled dynamics to that of a pristine wooden propeller of the same size and shape. This is accomplished by creating indirectly via collocated measurements distributed information for the coupled acceleration field of the propellers. The powerful data-driven modal expansion analysis delivered by the Proper Orthogonal Decomposition (POD) Transform reveals that ensembles of impact-induced collocated coupled experimental acceleration signals are underlined by a high level of spatio-temporal coherence. Thus they furnish a valuable spatio-temporal sample of coupled response induced by a point impulse. In view of this fact, a tri-axial sensor was placed on the propeller hub to collect collocated coupled acceleration signals induced via modal hammer nondestructive impacts and thus obtained a reduced order characterization of the coupled free dynamics. This experimental data-driven analysis reveals that the in-plane unit components of the POD modes for both propellers have similar shapes-nearly identical. For the damaged propeller this POD shape-difference is quite pronounced. The shapes of the POD modes are used to compute indices of difference reflecting directly damage. At the first POD energy level, the shape-difference indices of the damaged composite propeller are quite larger than those of the pristine wooden propeller.


2015 ◽  
Vol 20 ◽  
pp. 52-60 ◽  
Author(s):  
J.-B. Tylcz ◽  
K. El Alaoui-Lasmaili ◽  
E.-H. Djermoune ◽  
N. Thomas ◽  
B. Faivre ◽  
...  

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