In recent years, PTT as a minimally invasive, controllable, and highly efficient treatment method has drawn widespread attention in the treatment of cancer.
Of interest, this method has drawn attention to nutrient factors that may interact with a gene known to be functional and have a therapeutic role in T2D, PPARG (Murphy and Holder, 2000; Spiegelman, 1998).
Whilst the overlap between the three methods is comparatively small, the combination of these methods has drawn focus to the shikimate pathway, a known target pathway for new antimicrobial interventions in other bacterial pathogens [ 21].
Nonetheless, the combination of essential gene prediction methods has drawn focus to this particular pathway as a potential target for intervention, which should be investigated further using conventional genetic tools.
These methods have drawn scorn from many free-market economists.
His efforts to broaden Greenpeace's mission and methods have drawn praise from Bill McKibben, the Vermont environmental activist who organized protests at the White House against the proposed Keystone XL pipeline, which would carry heavy crude from Canadian tar sands across the central United States.
In recent years, machine-learning methods have drawn researchers' attention because of their high modeling precision.
Definitely, the template or surfactant direct synthesis suffers from the disadvantages of low yield and high cost; template-free methods have drawn increasing attention.
Nowadays, no-reference (NR) image quality assessment (IQA) methods have drawn extensive attention because it does not rely on any information of original images.
These methods have drawn, increasing attention in the EEG, machine learning, and signal processing community, especially because of their convergence rates and their ability to deal with large problems [19 21].
Many image segmentation methods have been proposed, which includes histogram based methods, edge detection based methods, region based methods, active contour model based methods, etc. Active contour model based methods have drawn a lot of attention in the past decade because of their significant advantages.
