This paper proposes a process for implementing a meta-data approach to defining a platform independent operational computer system application. It identifies Enterprise Information System (EIS) type systems as ideal candidates for implementation using this meta-data, based on the simplification opportunities available due to the typically visual and transactional component bias of EIS systems. ...

Epistemic indefinites (henceforth EIs) are existentials that when used in a positive context convey information about the speaker’s epistemic state (e.g. Jayez and Tovena, 2006, Alonso-Ovalle and Menéndez-Benito, 2010): they signal that the speaker is unable to identify the individual that satisfies the existential claim. In some languages EIs can also be used in negative contexts to convey nar...

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...