BACKGROUND Dengue is a growing public health problem in Pakistan and acute kidney injury (AKI) is one of the least studied complications of dengue virus infection (DVI). The aim of this study was to determine the frequency, severity and predictors of AKI in patients with DVI and to study the impact of AKI on the length of hospital stay and mortality. METHODS We retrospectively reviewed medica...

The unit commitment problem is a typical scheduling problem in an electric power system. The problem is determining the schedules for power generating units and the generating level of each unit. The decisions concern which units to commit during each time period and at what level to generate power to meet the electricity demand. In this paper we develop a stochastic programming model which inc...

We display in Fig. 1, for comparison, the topological coefficients as computed from different data sources for the yeast TRN, superposed on the scatter plots for the ensemble of model networks. We see that although there are partial differences between the data sets, all are compatible with the model results. Since the different data sets encompass slightly different sets of genes, this goes fu...

In this supplement we would like to discuss certain qualitative and quantitative aspects of the k-core decomposition, how these are related to the other global topological features of the network and how we have used them in deciding upon a length distribution for the PR regions. We would also like to warn, here against an undue emphasis on the visual appearance of the k-core decomposition, whi...

We present a scalable holographic system design targeting multi-user interactive computer graphics applications. The display device is based on back-projection technology and uses a specially arranged array of microdisplays and a holographic screen. The display is driven by DVI streams generated by multiple consumer level graphics boards and decoded in real-time by image processing units that f...

Supervised learning requires a training set on which the classifier’s parameters are learnt. An independent test set is used to evaluate its performance. For each test sample the classifier returns a vector that estimates the probability that the sample belongs to any of the classes under consideration, in our case edges and non-edges. We employ the random forest classifier [1], a state-of-the-...