Effectiveness of Emotional Intelligence Training in Addiction Potential among Students

Objective: The present study was carried out to investigate the effectiveness of emotional intelligence training in addiction potential among male students of Shahid Chamran University of Ahwaz. Method: This study was conducted as a quasi-experimental one with pre-test and post-test and a control group. The statistical population of the study consisted of undergraduate male students of Shahid Chamran University of Ahwaz in 2012-2013. From the number of 600 students in the initial sample, 30 students qualified with the inclusion criteria for entering the study were selected via criterion sampling and, then, were randomly assigned to two groups. Having received eight 90-minute training sessions (twice a week), the experimental group completed the post-test. The control group also completed the post-test while they received no intervention. Zargar’s addiction potential scale (2006) was used as the measurement instrument of this study. Results: The results of the study showed the effectiveness of emotional intelligence training in reducing students’ addiction potential. Conclusion: Emotional intelligence training is effective in reducing students’ addiction potential

Synthesis and Preliminary Biological Evaluation of New Heterocyclic Carboxamide Models

The heterocyclic system is a promising core nucleus in many bioactive compounds. This work describes our effort to synthesize and characterize a set of new biphenyl, benzofuran and benzothiophene carboxamide derivatives. Our biological studies showed that compounds 10 and 17 have antifungal activity against C. galabrate more potent than fluconazole compounds 9, 10, and 17 exerted cytotoxic activities in immortalized embryonic mouse fibroblast cells (3T3) and a human cervical cancer cell line (HeLa); in particular, the cyclic amidine derivative 17 showed selective toxicity against HeLa. This study showed that the tested compounds have the potential to be useful as antitumor drugs after further optimization