This flickering, which occurs on time scales from less than 1 ksec to more than 10 ksec, poses fundamental problems for accurate photometry since the background dark current is a strong random function of time.
α x + β y is a strong random variable.
If f is a real-valued random variable and x is a strong random variable, then f x is a strong random variable.
(b) If f is a real-valued random variable and x is a strong random variable, then f x is a strong random variable.
Then the following statements hold: (a) α x + β y is a strong random variable.
(c) If { x n } is a sequence of strong random variables converging strongly to x almost surely, i.e., if there exists a set A 0 ∈ β with μ ( A 0 ) = 0 such that lim n → ∞ ∥ x n ��� x ∥ = 0 for every ω ∉ A 0, then x is a strong random variable. .
If { x n } is a sequence of strong random variables converging strongly to x almost surely, i.e., if there exists a set A 0 ∈ β with μ ( A 0 ) = 0 such that lim n → ∞ ∥ x n − x ∥ = 0 for every ω ∉ A 0, then x is a strong random variable.
A mapping (x:Omegato E) is said to be a strong random variable if there exists a sequence ({x_{n} omega)}) of simple random variables which converges to (x omega)) almost surely, i.e., there exists a set (A_{0}inSigma ) with (mu(A_{0})=0) such that lim_{ntoinfty}x_{n} omega)=x omega),quad omegain Omega-A_{0}.
That is, while piRNAs almost always start with a U and there are biases for particular sequences to be cleaved as piRNAs, there is a strong random component that determines which sequences of the primary transcript are processed into piRNAs (hence the term 'quasi-random').
Finally, although there was a strong association of random nodules in PTB as well as bronchiectasis and cystic changes in NTM-LD statistically, the conclusions drawn by our statistical results needed a large-scale analysis to be confirmed.
