Based on the Bethesda panel, MSS, MSI-L and MSI-H tumours contain different numbers of altered microsatellites, suggesting that these forms of MSI represent separate phenomena, at least at the molecular level.
All MSS elements are arranged in a MSS structure by using system structure function f, which produces the output stochastic performance process of the entire MSS based on the stochastic processes of all MSS elements: G t) = f(G_{1} (t),G_{2} (t), ldots,G_{n} (t)) (5).
Based on the differences we observed between MSS and MSI tumors, a putative model for carcinogenesis was proposed.
In 1980, Wong et al.[24] proposed a technique for the integration of Landsat Multispectral Scanner (MSS) and Seasat synthetic aperture radar (SAR) images based on the modulation of the intensity of each pixel of the MSS channels with the value of the corresponding pixel of the SAR image, hence named intensity modulation (IM) integration method.
Lz-transform of the output stochastic process G t) for the entire MSS should be defined based on the previously determined Lz-transform for each element j and system structure function f.
Based on the Bayesian network (BN) method for reliability analysis of MSS, the Dempster-Shafer (DS) evidence theory is used to express the epistemic uncertainty in system through the state space reconstruction of MSS, and an uncertain state used to express the epistemic uncertainty is introduced in the new state space.
One example is described in [14], which illustrates a mobile satellite system (MSS) coupled with an extension of 802.11 based on the Hybrid Wireless Mesh Protocol (HWMP).
Based on the 3S technology and four periods of remote sensing image data of MSS image in 1976, TM image from USA Landsat in 1987 and 1998, and CBERS image in 2006, combining GIS and quantitative analysis of landscape ecology, this paper analyzed the spatial changes of land use and land cover in Manas River Basin among 1976-2006 by using ARCGIS and FRAGSTATS.
A robust binary classification algorithm that is based on the minimisation of the energy of slack variables, called the Mean Squared Slack (MSS), is proposed in this paper.
