Lack of appropriate biomarkers has hampered early detection of urothelial cancer (UC), therefore, development of biomarkers for its diagnosis at earlier stages is of importance. Laminin-332 (Ln-332, formerly Ln-5), a component of basement membranes, consists of Ln-α3, Ln-β3, and Ln-γ2 polypeptides. However, monomeric Ln-γ2 alone is frequently expressed in malignant neoplasms. If Ln-γ2 is also e...

Abstract High impedance ratio ( Z -ratio), low temperature coefficient of frequency (TCF) and spurious free characteristic are three main requirements for surface acoustic wave (SAW) resonators. The reported LiTaO 3 /Quartz (Qz) hetero layer (HAL) resonator can satisfy them, but the bandwidth is too narrow. LiNbO (LN) suitable wideband resonators, TCF large due to its high coupling factor. In t...

introduction: the role of ovarian hormones and nitric oxide (no) in learning and memory and their interaction has been widely investigated. the present study carried out to evaluate different effect of l-name on spatial learning and memory of ovariectomized (ovx) and sham operated rats. methods: 32 rats were divided into 4 groups: 1) sham 2) ovx 3) sham-ln and 4) ovx-ln. the animals of groups 3...

Let (Ln)n≥1 be the sequence of Lucas numbers, defined recursively by L1≔1, L2≔3, and Ln+2≔Ln+1+Ln, for every integer n≥1. We determine asymptotic behavior loglcm(L1+s1,L2+s2,…,Ln+sn) as n→+∞, (sn)n≥1 a periodic in {−1,+1}. also carry out same analysis independent uniformly distributed random variables These results are numbers-analogs previous obtained author Fibonacci numbers.

the share of dc-based renewable energy resources (rers) and electricity storage systems are increasing due to developments of smart grid technologies. moreover, the share of dc-based load has rapid growth due to significant developments of power electronic technologies. therefore, a more flexible power system is required for efficient integration of emerging loads and generators. in this paper,...

ln(σt) = α + φ(ln(σt−1)− α) + ηt so that ln(σt) is an AR(1) process, where φ is a parameter that represents how quickly volatility gets pulled toward its mean, α. If ηt is normally distributed with mean 0 and variance σ η, then ln(σt) is normally distributed, and σt therefore has a lognormal distribution. To get the unconditional mean and variance of ln(σt), E[ln(σt)] = α + φ(E[ln(σt−1)]− α) + ...