background : the measuring serum ferritin level as a sensitive inflammatory biomarker might effectively predict preterm delivery, but the power and the best cut-off point of this biomarker for predicting preterm labor in iranian population has not been substantially identified. our purpose was to determine what concentrations of serum ferritin could identify patients at risk for preterm deliver...

the genus aegilops is one of the wheat relatives which comprise the main part of its gene pool.the identification of the aegilops species is difficult due to their vast morphological similarities and geneflow among different species of aegilops and cultivated wheat. some morphological characters are used todistinguish different species in aegilops. in this study, we evaluate all these character...

Background Preference weights for EQ-5D-3L based on visual analogue scale (VAS) has recently been developed in Iran. The aim of the current study was to compare performance of this value set against the UK VAS-based value set.   Methods The mean scores for all possible 243 health states were compared using Student t test. Absolute agreement and consistency were investigated using concordance co...

Discriminative pattern mining is one of the most important techniques in data mining. This challenging task is concerned with finding a set of patterns that occur with disproportionate frequency in data sets with various class labels. Such patterns are of great value for group difference detection and classifier construction. Research on finding interesting discriminative patterns in class-labe...

background preference weights for eq-5d-3l based on visual analogue scale (vas) has recently been developed in iran. the aim of the current study was to compare performance of this value set against the uk vas-based value set.   methods the mean scores for all possible 243 health states were compared using student t test. absolute agreement and consistency were investigated using concordance co...

We describe experiments on discriminating English to French phrase-based translations through the use of syntactic “coupling” features. Using a robust rule-based dependency parser, we parse both the English source and the French translation candidates from the nbest list returned by our phrase-based system; we compute for each candidate a number of coupling features, that is, values that depend...