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Over past decades, researchers have improved the performance of denoising methods by developing nonlinear approaches such as [1 6].
We then focus on the mesh-free methods by developing a set of algorithms to parallelize them based on sparse linear algebra techniques.
Well standardized reference datasets have also gradually pushed the MSA field toward becoming a fairly codified discipline, where all contenders try to improve over each other's methods by developing increasingly sophisticated algorithms, all tested in the same arena.
We built on these methods by developing an operational definition of the NZ based on a mathematical model of the load-deflection data, that is: free from the limitations mentioned above.
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Sigg et al. in a pioneering work [17] have proposed a single microphone AVSS method by developing a non-negative sparse canonical correlation analysis (NS-CCA) algorithm.
The purpose of the article is to improve the spread foundation calculation method in respect of reduction of difficulty to apply of proposed method by developing the software.
Here, we improve the versatility of this method by developing a transgenic system that expresses Cas9 in the Drosophila germline.
In summary, we solved the long-standing problem associated with the BCG method by developing a new fluorometric method for HSA.
The design was informed by mixed-method synthesis methods developed by the Evidence for Policy and Practice Information (EPPI) Centre [ 25, 26] and is shown in Figure 1.
Dr. Oppenheimer's population history of the British Isles relies not only on genetic data but also on the dating of language changes by methods developed by geneticists.
The structure was solved by direct methods and developed by difference Fourier techniques, both using the SHELXL software package.
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