as pseudomonas, acinetobacter, and staphylococcus that appropriate disinfection can reduce these pathogens. the aim of this study was to evaluate the effect of different disinfectants on gram-negative bacteria isolated from the surface of accidents and burn hospital in yazd. materials and methods: in this study, 240 samples were randomly collected from different parts of accidents and burn hosp...

abstract background: streptococcus mutans in the oral cavities sable to produce mutacin (bacteriocin-like substances) with antibiotic properties. the aim of this study was to investigate the frequency and expression of genes encoding mutacins typei, ii, iii and iv and also two of 8 genes in a cluster encoding the putative bacteriocins, the designated bsm 283, bsm 299, bsm 423, bsm 1889c, bsm 18...

background: serum procalcitonin (pct) levels differ in patients with bacterial or fungal infections and are significantly elevated in patients with gram-negative bacteremia. we evaluated the diagnostic accuracy of different inflammatory markers to discriminate sepsis caused by different pathogens. materials and methods: we included 328 episodes of bacteremia from 292 patients with sepsis and 31...

a total number of 259 gram negative bacteria (entero-bacteria) isolated during the years 1973-1974 was examined. these strains were isolated from sick children referred and or hospitalized in a children hospital in tehran. the strains consisted of ; 131e.coli, 52 salmonella, 40 klebsiella, 18 shigella, 13 proteus, 3 enterobacter and 2 citrobacter. sensitivity tests were performed according to t...

This paper investigates various techniques to improve the estimation of n-gram phonotactic models for language recognition using single-best phone transcriptions and phone lattices. More precisely, we first report on the impact of the so-called acoustic scale factor on the system accuracy when using latticebased training, and then we report on the use of n-gram cutoff and entropy pruning techni...

Conventional confusion network based system combination for machine translation (MT) heavily relies on features that are based on the measure of agreement of words in different translation hypotheses. This paper presents two new features that consider agreement of n-grams in different hypotheses to improve the performance of system combination. The first one is based on a sentence specific onli...

In this paper, a new state-space method for language modeling is presented. The complexity of the model is controlled by choosing the dimension of the state instead of the smoothing and back-off methods common in n-gram modeling. The model complexity also controls the generalization ability of the model, allowing the model to handle similar words in similar manner. We compare the state-space mo...

We present a novel family of language model (LM) estimation techniques named Sparse Non-negative Matrix (SNM) estimation. A first set of experiments empirically evaluating it on the One Billion Word Benchmark [Chelba et al., 2013] shows that SNM n-gram LMs perform almost as well as the well-established Kneser-Ney (KN) models. When using skip-gram features the models are able to match the state-...

We contribute 5-gram counts and language models trained on the Common Crawl corpus, a collection over 9 billion web pages. This release improves upon the Google n-gram counts in two key ways: the inclusion of low-count entries and deduplication to reduce boilerplate. By preserving singletons, we were able to use Kneser-Ney smoothing to build large language models. This paper describes how the c...

In a period of nine months, 225 strains of Gram-negative bacilli isolated from burns were identified by a variety of tests in two burn centers in Tehran. The most common species were Pseudomonas aeruginosa, Pseudomonas fluorescens, Escherichia coli, Enterobacter agglomerans, Enterobacter cloacae and Klebsiella pneumoniae. Many strains of acinetobacter spp, providencia spp, proteus spp, ser...