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A standard approach is to use diffusion for image smoothing.
Recently, clinical investigations have attempted to use diffusion tensor MRI as a more specific surrogate marker for hippocampal damage.
The comparison is carried out with various view synthesis methods that use diffusion and exemplar inpainting to fill holes in spatial and temporal domains.
The undoubted advantage of this approach is the ability to use diffusion and heat transfer theory to solve the problems posed.
We use diffusion of innovation theory and the established notion that the social system and interpersonal influence play important roles in adoption.
An alternative to circumvent the high communication cost of consensus algorithms is to use diffusion algorithms[16] which, contrary to the former, do not require multiple iterative inter-node communication between consecutive measurements.
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Measurement of microstructural changes in white matter (WM) using diffusion tensor imaging (DTI) may be a useful outcome measure.
The moral codes of dual-use diffusion are vital as life researchers might be considered to be responsible for what they spread in terms of possible detrimental misuses, and this is why researchers would need guidance to be able to take such responsibility.
Under these concerns, this study provides a quantitative methodology by developing a DAEDMS (dynamic active energy demand management system) that can evaluate the overall effects of urban planning, soft policies for improving household/individual awareness, technology-improvement/rebate policies, market end-use diffusion control, and social-interaction oriented policies.
White matter can now be quantified using diffusion tensor imaging.
Physiological and impaired muscle function can be sufficiently examined by using diffusion tensor imaging.
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