Background: Alcohol Use Disorders (AUDs) has been recently prioritized as a health problem in Iran. The Alcohol Use Disorders Identification Test (AUDIT) is an easy-to-use diagnostic tool for excessive drinking. This study was designed to assess the validity and reliability of the Persian version of AUDIT questionnaire. Methods: Participants were 70 individuals with AUD (study group) and 70 non...

Background: Alcohol consumption is one of the main health problems in most countries. The purpose of the present study is to evaluate the reliability and validity of Alcohol Use Disorders Identification Test (AUDIT). Methods: By employing the method of available sampling, 70 alcoholic patients were included as case group and 70 normal age, gender and education matched individuals were also inc...

Mono-specific antisera against Vibrio cholera Ogawa NIH-43 and Vibrio cholera Inaba 35-A3 were prepared from rabbit hyperimmune sera by absorbing against a heterologous strain. Using ammonium sulphate precipitation procedure, gamma globulins were purified and concentrated. To visualize antigen-antibody reaction, gamma globulins were conjugated to Staphylococcus aureus cowan-l (NCTC: 8325) ...

Introduction: Processing odor information by the olfactory system depends greatly on the odor concentration. In order to use an odorant in a smell identification test (SIT), the minimum identification concentration (MIC) needs to be determined.  Materials and Methods: This study was conducted in 60 healthy native individuals aged 20 to 60 years, selected from patients’ companions in a tertiary...

In corrective maintenance, selective regression testing includes test selection from previously run test suite and test coverage identification. We propose three reductionbased regression test selection methods and two coverage McCabe-based identification metrics. We empirically compare these methods with other three reduction and precision-oriented methods using 60 test-problems. The compariso...

In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations. The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the s...

To date, automatic spoken language detection research has largely been based on a closed-set paradigm, in which the languages to be detected are known prior to system application. In actual practice, such systems may face previously unseen languages (out-of-set (OOS) languages) which should be rejected, a common problem that has received limited attention from the research community. In this pa...

We introduce a data-based approach alternative to the rule-based parameter approach toward system identification. Motivated by the design-intensive problem of the parameter approach, the Self-organizing Associative Memory (SAM) system seeks to represent the system using a subset of stored training data. We surmise that knowledge is association between memorized objects, not memorized rules. We ...