Datasets: Sensitivity and protein digestion course of proteomic Filter Aided Sample Preparation

Sensitivity of FASP was tested using SDS lysates from HeLa cells and mouse brain. Peptides were analyzed using a QExactive HF-X instrument. Whole cell lysates of Hela cells were processed with FASP using single or double, consecutive or successive, digestion with LysC or trypsin. The generated peptides were analyzed using a LTQ-Orbitrap mass spectrometer. These datasets accompany "Filter Aided Sample Preparation - A Tutorial" (Wisniewski, 2019). (C) 2019 The Authors. Published by Elsevier Inc

Efficient estimation of one-dimensional diffusion first passage time densities via Monte Carlo simulation

We propose a method for estimating first passage time densities of one-dimensional diffusions via Monte Carlo simulation. Our approach involves a representation of the first passage time density as expectation of a functional of the three-dimensional Brownian bridge. As the latter process can be simulated exactly, our method leads to almost unbiased estimators. Furthermore, since the density is estimated directly, a convergence of order $1 / \sqrt{N}$, where $N$ is the sample size, is achieved, the last being in sharp contrast to the slower non-parametric rates achieved by kernel smoothing of cumulative distribution functions.Comment: 14 pages, 2 figure

The impact of devolution on capacity building through post-secondary education in the North : a case study of UArctic

In the Canadian North, capacity building through post-secondary education is a key policy strategy of territorial and federal governments. However, government support for the University of the Arctic (UArctic), a viable policy instrument that makes an important contribution to the capacity building efforts of the territories, has been inconsistent. This thesis will investigate whether devolution has impacted capacity building through post-secondary education, by using UArctic as a case study