Tempranillo is one of the most widely cultivated grapevine varieties in Spain. After several years of clone selection, some highly recommended old clones have been identified in terms of both their qualitative and production characteristics. This study was designed to discriminate among 28 ancient clones of the cultivar Tempranillo (Vitis vinifera). DNA samples from clones were analysed using t...

UNLABELLED Urinary tract infection (UTI) is a common disease with significant morbidity and economic burden, accounting for a significant part of the workload in clinical microbiology laboratories. Current clinical chemisty point-of-care diagnostics rely on imperfect dipstick analysis which only provides indirect and insensitive evidence of urinary bacterial pathogens. An electronic nose (eNose...

Infinitesimal and finite amplitude error propagation in spatially extended systems are numerically and theoretically investigated. The information transport in these systems can be characterized in terms of the propagation velocity of perturbations Vp. A linear stability analysis is sufficient to capture all the relevant aspects associated to propagation of infinitesimal disturbances. In partic...

BACKGROUND It has been shown that linear and non-linear heart rate variability (HRV) metrics are suitable to assess workload of anesthetists administering anesthesia. In pre-hospital emergency care, these parameters have not yet been evaluated. We hypothesized that heart rate (HR) and HRV metrics discriminate between differing workload levels of an emergency physician. METHODS Electrocardiogr...

The detection and handling of OOD (out-of-domain) user utterances are significant problems for spoken language systems. We approach these problems by applying an OOD detection framework, combining topic classification and in-domain verification. In this paper, we compare the performance of three topic classification modeling schemes: 1-vs-all, where a single classifier is trained for each topic...

A modified Fisher discriminate analysis method for classifying stream data is presented. To satisfy the realtime demand in classifying stream data, this method defines a new criterion for Fisher discriminate analysis. Since the new criterion requires less computation and memory space, it is much faster and more suitable for online processing in stream data environment. It can overcome the probl...

A robust Fisher discriminant analysis (FDA) strategy is proposed for process fault diagnosis. The performance of FDA based fault diagnosis procedures could deteriorate with the violation of the assumptions made during conventional FDA. The consequence is a reduction in accuracy of the model and efficiency of the method, with the increase of the rate of misclassification. In the proposed approac...