Traffic flow data are routinely collected for many networks worldwide. These invariably large data sets can be used as part of a traffic management system, for which good traffic flow forecasting models are crucial. The linear multiregression dynamic model (LMDM) has been shown to be promising for forecasting flows, accommodating multivariate flow time series, while being a computationally simp...

Aim of Study: To assess the preoperative risk factors implicated in increasing the risk of surgical failure in primary retinal detachment surgery using the 23-G vitrectomy platform. Methods: Eighty eyes suffering from primary rhegmatogenous retinal detachment were treated with 23-gauge transconjunctival vitrectomy. A comprehensive ophthalmological examination including the duration of the detac...

In this paper we consider the problem of modelling multivariate time series of vehicle counts in traffic networks. We propose using a model called the linear multiregression dynamic model (LMDM). The LMDM is a multivariate Bayesian dynamic model which uses any conditional independence and causal structure across the time series to break down the complex multivariate model into simpler univariat...

Improved models for predicting viscosities at 20 °C were generated using three different methods for descriptor selection. Data set of 361 diverse organic molecules and their experimental viscosities were used for developing the models. Molecular properties are encoded by 822 initial descriptors computed by the CODESSA program. CODESSA, GFA and CROMRsel methods are capable of selecting good and...

Results from a systematic investigation of mercury (Hg) concentrations across 14 forest sites in the United States show highest concentrations in litter layers, strongly enriched in Hg compared to aboveground tissues and indicative of substantial postdepositional sorption of Hg. Soil Hg concentrations were lower than in litter, with highest concentrations in surface soils. Aboveground tissues s...

BACKGROUND Obesity is an independent cardiovascular risk factor that contributes to the development of atherosclerosis. Subclinical forms of the disease can be assessed via sonographic measurement of carotid intima-media thickness (cIMT) and distensibility - both may already be altered in childhood. As childhood obesity increases to an alarming extent, this study compares vascular data of obese...

PURPOSE To assess the long-term seizure outcome and find predictors of outcome for patients who were not initially seizure free 6 months after epilepsy surgery. METHODS We retrospectively reviewed all adult patients who underwent epilepsy surgery at the Epilepsy Center Bethel, between 1992 and 2003. There were 266 patients included in this analysis. RESULTS Of the 266 patients who were incl...

Real-time traffic flow data across entire networks can be used in a traffic management system to monitor current traffic flows so that traffic can be directed and managed efficiently. Reliable short-term forecasting models of traffic flows are crucial for the success of any traffic management system. The model proposed in this paper for forecasting traffic flows is a multivariate Bayesian dynam...

Although widely accepted as critical determinant for an individual’s adoption decision in households social influence is rather be known as the unloved child of technology adoption research. As several IS researchers pointed out the need for more sophisticated methods to assess social influence and a clarification of its role we aim to contribute to existing household adoption research by provi...

Traffic flow data are routinely collected for many networks worldwide. These invariably large data sets can be used as part of a traffic management system, for which good traffic flow forecasting models are crucial. The linear multiregression dynamic model (LMDM) has been shown to be promising for forecasting flows, accommodating multivariate flow time series, while being a computationally simp...