Rule-based programming paradigm is omnipresent in number of engineering domains. However, there are some fundamental semantical differences between it, and classic procedural, or object-oriented approaches. Even though, there has been a lot of effort to use rules to model business logic in classic software no generic solution has been provided so far. In this paper a new approach for generalize...

A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models are derived from the least squares method. Because the presence of outlier data is unavoidable in most real cases and because the least squares method is sensitive to these types of points, robust regression approaches appear to be a more reliable and suitable method for addres...

Introduction: Citation analysis is a suitable way to help us to identify research trends within a specific topic. The purpose of this study was to identify the 100 most cited articles in the field of dentistry published over the past 67 years. Methods: A comprehensive list of the most cited articles in dentistry was compiled using ISI Web of Science. The characteristics including number of cita...

background : turner syndrome (ts) is a sporadic disorder caused by the absence of all or some parts one x-chromosome with major developmental consequences such as short stature and ovarian failure etc. the minor manifestations of ts are cubitus valgus, micrognatism, high-arched palate, short and/or webbed neck, hypothyroidism, etc. different karyotype abnormalities may lead to different clinica...

b a c k g r o u n d & aim: the aim of the current study was to investigate the advantages of bayesian method in comparison to traditional methods to detect best antioxidant in freezing of human male gametes. methods  &  materials:   semen  samples  were  obtained  from  40  men  whose  sperm  had  normal criteria. a part of each sample was separated without antioxidant  as fresh and the remaini...

In this paper we propose a semantic approach to automatically identify and remove stopwords from Twitter data. Unlike most existing approaches, which rely on outdated and context-insensitive stopword lists, our proposed approach considers the contextual semantics and sentiment of words in order to measure their discrimination power. Evaluation results on 6 Twitter datasets show that, removing o...