The Impact of Service Complexity on New Service Development – A Contingency Approach

This dissertation explores the limitations and impact on performance of applying formalised NPD processes in service innovation. Hypotheses build on a structural framework of organisational factors, which have been linked to successful product innovation but have not been consistently supported in a service context. Evidence is presented for a moderating influence of service complexity on the relationship between factors relating to NSD process organisation and new service performance. The findings create a link between product and service innovation and demonstrate that whereas complex new services benefit from formalised development processes and structure, services with lower complexity do not

DsD_s physics from fine lattices

We present a preliminary analysis of the charm quark mass and the mass and decay constant $f_{D_s}$ of the $D_s$ meson obtained from dynamical simulations of $N_f = 2$ Wilson QCD on the large and fine lattices simulated by the CLS effort.Comment: 6 pages, 2 figures; talk presented at Lattice 2008, XXVI International Symposium on Lattice Field Theory, July 14-19, 2008, Williamsburg, Virginia, US

Hot Tips Turned Flops: Liability for Unsuitable Investment Advice - An Integrated Approach

This paper develops a new analytical framework for assessing losses from unsuitable investment advice, integrating both legal and economic aspects. First, a core of legal concepts for assessing losses is identified that is common to most jurisdictions. These include negligence in advice, causation as examined by the but-for-test, and the loss caused by the unsuitable advice. Building upon these legal concepts, five economic tests are developed for analyzing the causal chain from improper advice to financial loss. If the tests show that the advice was unsuitable, the investor did not know about it, the investment violated his risk patterns, and the assets most likely chosen with suitable advice would have performed better, an economic proof for establishing liability is provided, thus supporting legal assessments of losses. Several new analytical tools are suggested to substantiate the analysis. As a major conclusion, it is shown that proving liability for unsuitable investment advice gets more difficult, the more financially sophisticated an investor is

Testing trivializing maps in the Hybrid Monte Carlo algorithm

We test a recent proposal to use approximate trivializing maps in a field theory to speed up Hybrid Monte Carlo simulations. Simulating the CP^{N-1} model, we find a small improvement with the leading order transformation, which is however compensated by the additional computational overhead. The scaling of the algorithm towards the continuum is not changed. In particular, the effect of the topological modes on the autocorrelation times is studied.Comment: 18 pages, 7 figure

CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images

Nuclei instance segmentation plays an important role in the analysis of Hematoxylin and Eosin (H&E)-stained images. While supervised deep learning (DL)-based approaches represent the state-of-the-art in automatic nuclei instance segmentation, annotated datasets are required to train these models. There are two main types of tissue processing protocols, namely formalin-fixed paraffin-embedded samples (FFPE) and frozen tissue samples (FS). Although FFPE-derived H&E stained tissue sections are the most widely used samples, H&E staining on frozen sections derived from FS samples is a relevant method in intra-operative surgical sessions as it can be performed fast. Due to differences in the protocols of these two types of samples, the derived images and in particular the nuclei appearance may be different in the acquired whole slide images. Analysis of FS-derived H&E stained images can be more challenging as rapid preparation, staining, and scanning of FS sections may lead to deterioration in image quality. In this paper, we introduce CryoNuSeg, the first fully annotated FS-derived cryosectioned and H&E-stained nuclei instance segmentation dataset. The dataset contains images from 10 human organs that were not exploited in other publicly available datasets, and is provided with three manual mark-ups to allow measuring intra-observer and inter-observer variability. Moreover, we investigate the effects of tissue fixation/embedding protocol (i.e., FS or FFPE) on the automatic nuclei instance segmentation performance of one of the state-of-the-art DL approaches. We also create a baseline segmentation benchmark for the dataset that can be used in future research. A step-by-step guide to generate the dataset as well as the full dataset and other detailed information are made available to fellow researchers at https://github.com/masih4/CryoNuSeg