i diffuses information about class m with probability (f_1(R_i^m(t))) (also denoted as (f_1 t)) for simplicity), i deletes all messages about class m with probability (q f_2(R_i^m(t))), where the parameter q is introduced to control the deletion process and (f_2(R_i^m(t))) will be also denoted as (f_2 t)) for simplicity.
For the classes for which i is infected/informed: (a) i diffuses information about class m with probability (f_1(R_i^m(t))) (also denoted as (f_1 t)) for simplicity), (b) i deletes all messages about class m with probability (q f_2(R_i^m(t))), where the parameter q is introduced to control the deletion process and (f_2(R_i^m(t))) will be also denoted as (f_2 t)) for simplicity.
In general, we can say that all three proteins show: (i) diffuse nucleoplasmic staining with or without CBs localisation: (ii) diffuse nucleoplasmic staining with nucleolar localisation; (iii) diffuse nucleoplasmic staining with nucleolar and CBs localisation; (iv) speckled nucleoplasmic localisation with or without nucleolar and CBs staining.
The absorption characteristics of the synthesized samples in a UV-Visible [UV-Vis] spectral range were studied by diffuse reflectance spectroscopy (Varian Cary 500 UV-Vis spectrophotometer with DRA-CA-30I diffuse reflectance accessory).
The distribution pattern of Y-90 on planar bremsstrahlung imaging was scored based on the criteria outlined by Jahangier et al. [1] and classified as either (I) diffuse, (II) predominantly diffuse but also focal, (III) predominantly focal but also diffuse or (IV) focal.
In Sec. 2 we describe the previously used Monte Carlo method to calculate the Class I diffuse reflectance in multi-layered turbid media.
Among gliomas, astrocytomas are the most common and are comprised of pilocytic astrocytomas (grade I), diffuse astrocytomas (grade II), anaplastic astrocytomas (grade III) and glioblastoma (grade IV) (77).
The photon packets propagating in a direction closer to v ^ will have a higher probability of contributing to the collected Class I diffuse reflectance.
In Sec. 3, we describe the importance sampling based method that we developed to speed up the calculation of the Class I diffuse reflectance using Monte Carlo simulations.
The Class I diffuse reflectance at the depth equal to z is obtained by calculating the mean value of the indicator function I1 of the spatial and temporal filter of the Class I diffuse reflectance for all the photon packets (samples) in the ensemble.
