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The advantage of these method is that a very small volume of blood is needed, which is very important, especially when regular measurements are required [9].
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However, the greatest advantage of these methods is zero NDZ.
The main advantage of these methods lies in their accuracy for a given number of unknowns.
The main advantage of these methods is the great freedom they give designers.
The main advantage of these methods is to approximate the unknowns by a linear combination of shape functions.
The most advantage of these methods is in reducing data redundancy between bands and emphasizing different information in derived components.
The key advantage of these methods is that the knowledge is stored in a machine-processable form.
Apart from theoretical interest, the main advantage of these methods, which makes them successful in real world problems, is computation.
The main advantage of these methods is that knowledge about detailed protein structure is not required [161].
The main advantage of these methods is that each proposed method shows significant performance improvement with almost no additional computational cost.
We point out that the advantage of these methods is in providing a unifying point of view for several fixed point problems; see recent results in [15 17].
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