brain injuries that caused by strokes (result of intra partum ischemia) are a frequent cause of prenatal mortality and morbidity with limited therapeutic options. transplanting human mesenchymal stem cells (hmscs) indicates improvement in hypoxic ischemic brain injury (hibd) by secretion growth factor stimulating repair processes (hmscs) known as multi potent cells which isolated from bone marr...

Consider a class of skew product transformations consisting of an ergodic or a periodic transformation on a probability space (M,B, μ) in the base and a semigroup of transformations on another probability space (Ω,F , P ) in the fibre. Under suitable mixing conditions for the fibre transformation, we show that the properties ergodicity, weakly mixing, and strongly mixing are passed on from the ...

Many statistical problems, including some of the most important for physical applications, have long been regarded as underdetermined from the standpoint of a strict frequency de nition of probability; yet they may appear well posed or even overdetermined by the principles of maximum entropy and transformation groups. Furthermore, the distributions found by these methods turn out to have a de n...

We present a novel method for tracking multiple objects in video captured by a non-stationary camera. For low quality video, ransac estimation fails when the number of good matches shrinks below the minimum required to estimate the motion model. This paper extends ransac in the following ways: (a) Allowing multiple models of different complexity to be chosen at random; (b) Introducing a conditi...

A full characterization of the far-field noise obtained from cylindrical nearto far-field transformation, for a white Gaussian, space stationary, near-field noise is derived. A possible source for such noise is the receiver additive noise. The noise characterization is done by obtaining the autocorrelation of the far-field noise, which is shown to be easily computed during the transformation pr...

In reasoning under uncertainty in AI, there are (at least) two useful and different ways of understanding beliefs: the first is as absolute belief or degree of belief in propositions and the second is as belief update or measure of change in belief. Pignistic and plausibility transformations are two wellknown probability transformations that map belief functions to probability functions in the ...

Linear transformations are proposed for transforming vectors of Language Model (LM) probabilities. A separate vector is considered for each word and the j-th element of a vector is the probability of observing the word in the context of its j-th history. If a good general LM is available, it is possible to cluster vectors into classes and to infer a transformation for each class. Probability di...

This paper develops the optimal linear transformation (or precoding) of orthogonal space-time block codes (STBC) for minimizing probability of decoding error, when the channel covariance matrix is available at the transmitter. We build on recent work that stated the performance criterion without solving for the transformation. In this paper, we provide a water-filling solution for multi-input s...

Here we address the challenge of profiling causal properties and tracking the transformation of chemical compounds from an algorithmic perspective. We explore the potential of applying a computational interventional calculus based on the principles of algorithmic probability to chemical structure networks. We profile the sensitivity of the elements and covalent bonds in a chemical structure net...

In this article we mainly define the information entropy [3], [11] and prove some its basic properties. First, we discuss some properties on four kinds of transformation functions between vector and matrix. The transformation functions are LineVec2Mx, ColVec2Mx, Vec2DiagMx and Mx2FinS. Mx2FinS is a horizontal concatenation operator for a given matrix, treating rows of the given matrix as finite...