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Fig. 1 Data-driven methods applications.
Next, several deep learning methods, applications, improvement methods, and steps used for text feature extraction are introduced.
In this article, we provide details on various software tools, validation methods, applications and limitations of pharmacophore modeling.
Indeed, the same steps involved in intervention development are repeated to anticipate program diffusion and to target program implementers: performance objectves, change objectives, methods, applications and program.
In this paper we review the theory underlying these methods, applications of these methods to contaminant hydrogeology research, and methods' advantages and disadvantages.
This perspective of "SWNTs as polymers" allows the methods, applications, and theoretical framework of polymer science to be appropriated and applied to nanotubes.
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This chapter investigates complex variable methods' application to problems of engineering interest.
We recommend development of more effective educational methods, application of proactive enforcement, and continued evaluation of tools by directly measuring change in human behavior.
We illustrate the proposed methods' application in a clinical example involving the prediction of peri-operative mortality after elective abdominal aortic aneurysm surgery [ 22].
The desired plasticity of the intervention will be mirrored by a flexible and emergent study design [ 51], in particular in participant recruitment and methods application.
The data resulting from the examination method applications.
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