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So many researchers take an interest in this interdisciplinary field of diffusion and adoption.
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The area of diffusion field Si-SC was 2 cm2, and the layered structure consisted of (i) Al front grid, (ii) 50 nm thick anti-reflection Si3N4 layer, (iii) 30 nm thick charged dielectric SiO2 layer, (iv) inducted n ++ layer, (v) diffusion n + layer, (vi) quasi-neutral base area or p-Si, (vii) diffusion isotype junction or p + layer, and (viii) backside Al metallization.
To illustrate these new phenomena as simply and cleanly as possible, we deliberately ignore all secondary effects, e.g. contributions of the induced stresses, possible changes in the number of vacancies and possible influence of the induced electric fields on diffusion of components in ionic crystals.
The unsupervised method developed by Li et al. was based on a multistage procedure including image preprocessing, calculation of tensor field, measurement of diffusion anisotropy, segmentation of infarct volume based on adaptive multiscale statistical classification, and partial volume voxel reclassification [ 11].
The study of diffusion processes originated in the field of statistical physics, but diffusion processes are widely applied in engineering, medicine, biology, finance, and other disciplines.
Another line of research that has advanced the idea of active interventions in the field of technological diffusion is SNM.
Research on technological innovation systems (TIS) has emerged as another major line of inquiry in the field of technological diffusion.
The chi-squared distribution was introduced to describe the concentration field of oxygen diffusion.
The objective of studying our T measure in the field of information diffusion is to show that T measure is effective to define influential actors who are effective in attracting others to become active in a specific community.
The present study demonstrates the application of inverse analysis to determine and correlate the parameters of the WMP model for a set of measurements of radiative heat fluxes in the near field of laminar diffusion methane-air flames.
A multi-stage post-processing pipeline was designed, implemented and validated to automatically remove ghost artifacts arising from reduced field of view diffusion tensor imaging (DTI) of the pediatric spinal cord.
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