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For labs illustrating vector concepts, we used the OpenDragon vector format in some simple Java applications.
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The vector concept, adapted from infectious disease control, is simple: liver disease and myriad other health and social problems are being spread by alcohol companies just as the mosquito vector spreads malaria.
There is also the evaluation by using vector concept.
To compute the algebraic form-based indices, the molecular vector concept is employed, which uses atom-based properties as weighting schemes.
The perfusion vector concept is based on a calculation of the difference between the anatomical centroid and the perfusion center of gravity of the left ventricle.
An advantage of the perfusion vector concept is that the method is fully automated and thus eliminates subjective assessment of the images.
Due to exploit vector concept in the computational model, it is important that we mention some critical assumptions on using this model as follows: Our vector space is orthogonal, namely there is no correlation among properties of objects.
Let v 1 be the concept vector of concept c 1, so v 1 =(m 1 v 1),m 2(v 2),…,m N (v N )).
As we are extracting the DM and CM signals at each TP, the vectoring concept used previously for only DM signals [7] can be applied for the CM signals as well.
We call the vectors "concept profiles".
Consequently, we have the following definition of a similarity model for our paper, which inputs could be concept vectors or concepts (without their vectors).
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