Computational modeling of gastric digestion and the role of food material properties

2011 ◽  
Vol 22 (9) ◽  
pp. 480-491 ◽  
Author(s):  
Maria J. Ferrua ◽  
Fanbin Kong ◽  
R. Paul Singh
2020 ◽  
Vol 60 (22) ◽  
pp. 3753-3769 ◽  
Author(s):  
Geeshani Somaratne ◽  
Maria J. Ferrua ◽  
Aiqian Ye ◽  
Francoise Nau ◽  
Juliane Floury ◽  
...  

Author(s):  
Henry Jaeger ◽  
Kai Reineke ◽  
Katharina Schoessler ◽  
Dietrich Knorr

2014 ◽  
Vol 77 ◽  
pp. 155-166 ◽  
Author(s):  
Katherine D. Zink ◽  
Daniel E. Lieberman ◽  
Peter W. Lucas

Author(s):  
Iman Mehdipour ◽  
Gabriel Falzone ◽  
Dale Prentice ◽  
Narayanan Neithalath ◽  
Dante Simonetti ◽  
...  

Optimizing the spatial distribution of contacting gas and the gas processing conditions enhances CO2 mineralization reactions and material properties of carbonate-cementitious monoliths.


2021 ◽  
pp. 174569162096679
Author(s):  
Ivan Grahek ◽  
Mark Schaller ◽  
Jennifer L. Tackett

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.


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