In several scientific applications, data are generated from two or more diverse sources (views) with the goal of predicting an outcome of interest. Often it is the case that the outcome is not associated with any single view. However, the synergy of all measurements from each view may yield a more predictive classifier. For example, consider a drug discovery application in which individual mole...

UNLABELLED The use of local anesthesia with epinephrine and no tourniquet/no sedation is becoming an excellent alternative for hand surgeries. This wide-awake approach is the most commonly used method of anesthesia for carpal tunnel release in Canada. The purpose of this paper is to provide a video detailing this technique for trapeziectomy for trapeziometacarpal joint osteoarthritis. ELECTRO...

Supplementary data selection from out-of-domain or related-domain data is a well established technique in domain adaptation of statistical machine translation. The selection criteria for such data are mostly based on measures of similarity with available in-domain data, but not directly in terms of translation quality. In this paper, we present a technique for selecting supplementary data to im...

a total of 250 mothers were interviewed in kashan health centers in 1995 to obtain information on their knowledge, attitude, and practice (k.a.p) regarding supplementary feeding (sf) of their 6-24 month old children. the k, a and p regarding the kind of the first sf. were desirable in 29.2%, 72.8% and 31.6% of the mothers respectively. the corresponding percentages for the time of introduction ...

The concerned study pertains to the development of a new stochastic model for reliability analysis linear consecutive-k-out-of-n: G system, where k>n2. In developed model, system may collapse as result common cause failure or hardware in its units. has exponentially distributed rates, and case breakdown, it is repaired with copula method. been examined through supplementary variable techniqu...

Discrete-time queueing models find a large number of applications as they are used in modeling systems arising digital platforms like telecommunication and computer networks. In this paper, we analyze an infinite-buffer model with discrete Markovian arrival process. The units on served batches by single server according to the general bulk-service rule, service time follows distribution rate de...

Random forest is a classification algorithm well suited for microarray data: it shows excellent performance even when most predictive variables are noise, can be used when the number of variables is much larger than the number of observations, and returns measures of variable importance. Thus, it is important to understand the performance of random forest with microarray data and its use for ge...

This paper presents a mathematical model for performing availability and reliability analysis of a parallel repairable system consisting of n identical components with degradation facility and common-cause failures. In addition, system repair time is assumed to be arbitrarily distributed. Markov and supplementary variable techniques are used to develop equations for the model. As an illustratio...