Computational modeling and experimental validation of odor detection behaviors of classically conditioned parasitic wasp,Microplitis croceipes

2014 ◽  
Vol 31 (2) ◽  
pp. 596-606 ◽  
Author(s):  
Zhongkun Zhou ◽  
Don Kulasiri ◽  
Sandhya Samarasinghe ◽  
Glen Rains ◽  
Dawn M. Olson
Keyword(s):  
Computational Modeling ◽  
Experimental Validation ◽  
Parasitic Wasp ◽  
Microplitis Croceipes ◽  
Odor Detection ◽  
Classically Conditioned

scholarly journals Metformin Is a Direct SIRT1-Activating Compound: Computational Modeling and Experimental Validation

2018 ◽  
Vol 9 ◽  
Author(s):  
Elisabet Cuyàs ◽  
Sara Verdura ◽  
Laura Llorach-Parés ◽  
Salvador Fernández-Arroyo ◽  
Jorge Joven ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Experimental Validation

Computational Modeling of the Collapse of a Liquid Column Over an Obstacle and Experimental Validation

2009 ◽  
Vol 76 (2) ◽  
Author(s):  
Marcela A. Cruchaga ◽  
Diego J. Celentano ◽  
Tayfun E. Tezduyar
Keyword(s):  
Aspect Ratio ◽  
Computational Modeling ◽  
Water Column ◽  
Physical Model ◽  
Experimental Validation ◽  
Moving Interface ◽  
Numerical Predictions ◽  
Air Interface ◽  
Control Section ◽  
The Right

We present the numerical and experimental analyses of the collapse of a water column over an obstacle. The physical model consists of a water column initially confined by a closed gate inside a glass box. An obstacle is placed between the gate and the right wall of the box, inside the initially unfilled zone. Once the gate is opened, the liquid spreads in the container and over the obstacle. Measurements of the liquid height along the walls and a middle control section are obtained from videos. The computational modeling is carried out using a moving interface technique, namely, the edge-tracked interface locator technique, to calculate the evolution of the water-air interface. The analysis involves a water-column aspect ratio of 2, with different obstacle geometries. The numerical predictions agree reasonably well with the experimental trends.

Experimental Validation of Ferromagnetic–Antiferromagnetic Competition in FexZn1–xSe Quantum Dots by Computational Modeling

2018 ◽  
Vol 30 (6) ◽  
pp. 2093-2101 ◽  
Author(s):  
Jasleen K. Bindra ◽  
Lavrenty Gennady Gutsev ◽  
Johan Van Tol ◽  
Kedar Singh ◽  
Naresh S. Dalal ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Computational Modeling ◽  
Experimental Validation
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