in this thesis, structural, electronical, and optical properties of inverse pervskite(ca3pbo) in cubic phase have been investigated.the calculation have been done based on density functional theory and according to generalized gradiant approximate (gga) as correlating potential. in order to calculate the configurations, implementing in the wien2k code have been used from 2013 version. first of ...

Analyzing Iran petroleum Industry Experience in Technological Learning in Joint R&D projects The purpose of this study is to review and present the pattern of technological learning in Joint R&D projects in petroleum industry to provide the necessary basis for improving technological learning in petroleum industry. Therefore, technological learning process in JRDs is conducted by using theme an...

چکیده : هدف پژوهش حاضر، تعیین نقش واسطه‏ای اعتماد سازمانی در رابطه ی بین عدالت سازمانی و یادگیری سازمانی به روش تحلیل مسیر می‏باشد. برای این منظور با استفاده از روش نمونه گیری تصادفی ساده 1?0 نفر از کارکنان اداره ورزش و جوانان استان فارس انتخاب و به پرسشنامه های متشکل از ابعاد یادگیری سازمانی، عدالت سازمانی و اعتماد سازمانی پاسخ دادند. نتایج پژوهش به طور کلی نشان داد که رابطه ی عدالت سازمان...

the purpose of the research is to examine if integrating cooperative learning into vocabulary learning helps to increase word recognition of students in an elementary school in iran. it tries to investigate whether cooperative learning approach enables students to improve their language learning. this research used stad (students team achievement division) as a cooperative model in this study. ...

In this paper a new structure based on Bayesian networks is presented to improve mobile robot behavior, in which there exist faulty robot sensors. If a robot likes to follow certain behavior in the environment to reach its goal, it must be capable of making inference and mapping based on prior knowledge and also should be capable of understanding its reactions on the environment over time. Old ...

Distance metric has a key role in many machine learning and computer vision algorithms so that choosing an appropriate distance metric has a direct effect on the performance of such algorithms. Recently, distance metric learning using labeled data or other available supervisory information has become a very active research area in machine learning applications. Studies in this area have shown t...