One important module of Enterprise Information System (EIS) is the development and implementation of the security component of EIS. Furthermore, this EIS Security structure needs to be monitored through the corporate governance of the firm. Based on a literature review and our previous work, we identified four key pillars of a model for EIS Security. These pillars are Security Policy (e.g., set...

We are introducing a system for Electrical Impedance Spectroscopy (EIS) measurements for future use in Neurological Intensive Care Unit (NICU) settings. The system consists mostly of commercially available components and the software was developed in Labview (National Instruments). The system is based on the principle that acute hemorrhagic stroke may produce detectable changes in the impedance...

With the large number of drugs now approved for the treatment of chronic hepatitis C virus (HCV) infection and an even larger number under development, rational identification of effective drug combinations becomes necessary for better disease management and the judicious design of clinical trials. In PNAS, Koizumi et al. (1) address this issue by quantifying the anti-HCV activity of 15 drugs i...

The evaluation of the likelihood function of the stochastic conditional duration model requires to compute an integral that has the dimension of the sample size. We apply the efficient importance sampling method for computing this integral. We compare EIS-based ML estimation with QML estimation based on the Kalman filter. We find that EIS-ML estimation is more precise statistically, at a cost o...

This study develops and tests a model of the key determinants of EIS utilization. The validity of the model is tested against data from 216 EIS users in the UK. The results suggest that perceived usefulness positively influence EIS use. Ease of use, information quality, user involvement, subjective norm, and facilitating conditions positively influence both use and perceived usefulness. Partici...

In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of high-dimensional interdependent integrals. It can be used to carry out ML-estimation of SV models as we...

The purpose of this study was to assess the cultural invariance of the Extended Objective Measure of Ego-Identity Status (EOM-EIS) Questionnaire across three ethnic groups (African-Americans, Caucasians, and Latinos). The total sample consisted of 289 undergraduates from a comprehensive doctoral university in the Southeastern United States. Results of the chi-squared test of goodness-of-fit ind...

Good quality models for the analysis of complex enterprise information systems (EIS) are hard to build and require lots of experience and effort, which are not always available. A possible solution to deal with the previous issue is to build automated procedures for quality model generation. Such procedures shall encapsulate previous existing knowledge on quality modeling and their use shall re...

Local Electrochemical Impedance Spectroscopy (LEIS) is an emerging discipline in the field of electrochemical research. It is based on the widely accepted Electrochemical Impedance Spectroscopy (EIS) technique, a powerful method to determine reaction mechanisms on macroscopic electrodes. When however the electrode represents a heterogeneous behavior, local information is indispensable. This pro...