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Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Amazon product reviews covering c ounterfactual statements written in English, German, and Japanese languages. The dataset is unique as it contains counterfactuals in multiple languages, covers a new application area of e-commerce reviews, and provides high quality professional annotations. We train CFD models using different text representation methods and classifiers. We find that these models are robust against the selectional biases introduced due to cue phrase-based sentence selection. Moreover, our CFD dataset is compatible with prior datasets and can be merged to learn accurate CFD models. Applying machine translation on English counterfactual examples to create multilingual data performs poorly, demonstrating the language-specificity of this problem, which has been ignored so far.
This research showed a study of the aerodynamic characteristics including the turbulent wake behind a twisted overhead transmission line in comparison to the wake behind a cylindrical transmission line. The study showed the effect of the shape of the twisted transmitter on the slow pattern and the boundary layer separation and the shape of the wake. A difference was noted between the two transmitters and especially the pressure distribution and the resulting force. The study also dealt with the noise caused by the flow; the twisted transmitter showed higher sound pressure levels SPL compared to the cylindrical transmitter. This is due to the boundary layer separation.
The study of the phenomenon of ship squat in vessels can be considered as one of the most important topics in ships hydrodynamic science, because it is related to the marine secure, especially now after the rapid increase in size of vessels and ope ration speeds. In literatures there are methods that are used to predict ship squat. This research aims to develop a 3D Numerical Modeling to analyze the phenomenon of ship squat of the ship in Canals using computational numerical method and proper software, to extract the velocity and pressure fields of the flow around ship hull. The last one affect directly this phenomenon. To build a 3D model and to represent ship squat for viscous flow, simulation has been developed using Gambit and Ansys Fluent programs. ship squat has been integrating the motion of water level drop. The effect of vessel speed and blockage factor Cb have been taken into account. Results confirm the efficiency of the CFD for simulating ship squat. The comparison with other experimental and computational methods show good accuracy.
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